1 00:00:02,520 --> 00:00:08,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news joining us now to 2 00:00:08,600 --> 00:00:10,799 Speaker 1: get out to the tech earnings in the tech space. 3 00:00:11,119 --> 00:00:15,000 Speaker 1: Deep water asset managers Gene Munster can't say enough about 4 00:00:15,040 --> 00:00:19,239 Speaker 1: Gene's commitment to Bloomberg surveillance in combination with Dan Eyves 5 00:00:19,239 --> 00:00:23,960 Speaker 1: Eyes Monster Munster Eyes we saw on July fourth with Gene, 6 00:00:23,960 --> 00:00:25,680 Speaker 1: thank you for that commitment to doing that. 7 00:00:26,440 --> 00:00:27,920 Speaker 2: You're on it, love it, Gene. 8 00:00:27,920 --> 00:00:30,319 Speaker 1: I brought up Microsoft, which I never look at, and 9 00:00:30,360 --> 00:00:34,080 Speaker 1: they got they're modeling twelve thirteen percent revenue growth. Do 10 00:00:34,120 --> 00:00:38,600 Speaker 1: you have a conviction on mags seven blended revenue growth? 11 00:00:38,880 --> 00:00:41,920 Speaker 1: Does it sustain or is there a direction to it? 12 00:00:43,360 --> 00:00:45,920 Speaker 3: Well, I can tell you what the numbers are that basically, 13 00:00:45,960 --> 00:00:48,760 Speaker 3: if you look at everything, with the exception of Nvidia, 14 00:00:49,000 --> 00:00:53,199 Speaker 3: the street expectations for this year is thirteen percent growth 15 00:00:53,280 --> 00:00:57,840 Speaker 3: and maybe as expected a similar growth rate for twenty 16 00:00:58,000 --> 00:01:03,360 Speaker 3: twenty six. Now, typically when you see rising numbers, the 17 00:01:03,400 --> 00:01:07,280 Speaker 3: comps get more difficult and the street anticipates a deceleration 18 00:01:07,520 --> 00:01:10,839 Speaker 3: and growth, and what we're seeing is kind of the opposite. 19 00:01:10,880 --> 00:01:14,000 Speaker 3: This is kind of a rare chapter. My sense is 20 00:01:14,040 --> 00:01:17,480 Speaker 3: that next year, counter twenty six is going to surprise 21 00:01:17,600 --> 00:01:20,280 Speaker 3: to the upside, and I just want to caution is 22 00:01:20,280 --> 00:01:22,759 Speaker 3: when the market set all time highs, I think that 23 00:01:22,760 --> 00:01:25,480 Speaker 3: that kind of gets people a little bit more enthusiastic, 24 00:01:25,560 --> 00:01:28,160 Speaker 3: and I'm backing out what the market's doing. I just 25 00:01:28,280 --> 00:01:30,720 Speaker 3: want to kind of zero in on what the fundamentals are, 26 00:01:31,200 --> 00:01:33,959 Speaker 3: and the bottom line is that these companies are just 27 00:01:34,080 --> 00:01:38,280 Speaker 3: fundamentally having more success and squeezing juice out of their 28 00:01:38,319 --> 00:01:42,479 Speaker 3: existing business and just adding additional spice to their growth. 29 00:01:42,480 --> 00:01:45,680 Speaker 3: And so Tom, I feel really good about how these 30 00:01:45,680 --> 00:01:47,639 Speaker 3: companies are going to play out. The one I would 31 00:01:47,720 --> 00:01:52,720 Speaker 3: mention that I'm less optimistic. You mentioned Microsoft. That is 32 00:01:52,840 --> 00:01:55,080 Speaker 3: one that I don't think has the dynamic upside that 33 00:01:55,120 --> 00:01:57,320 Speaker 3: a lot of the other big tech companies do. 34 00:01:58,200 --> 00:02:01,360 Speaker 1: Using that as a model, yet a COVID recovery. Ye 35 00:02:01,360 --> 00:02:04,320 Speaker 1: had a twenty twenty two pause and then up, up 36 00:02:04,360 --> 00:02:08,280 Speaker 1: and away with the YARDNNI and compore October twenty twenty 37 00:02:08,320 --> 00:02:11,240 Speaker 1: two bottom geene Monster. Do you, as a tech guy, 38 00:02:11,760 --> 00:02:16,799 Speaker 1: do you extrapolate that trend from the autumn of twenty 39 00:02:16,919 --> 00:02:17,480 Speaker 1: twenty two. 40 00:02:19,560 --> 00:02:19,959 Speaker 2: I do. 41 00:02:20,200 --> 00:02:23,519 Speaker 3: I think that when you uh, there's gonna be ebbs 42 00:02:23,520 --> 00:02:29,120 Speaker 3: and flows in terms of kind of optimism and pest, sex, skepticism, skepticism, 43 00:02:29,720 --> 00:02:33,240 Speaker 3: the Liberation day back in April, optimism we're at now. 44 00:02:33,480 --> 00:02:35,240 Speaker 3: But if you if you step back and look at 45 00:02:35,240 --> 00:02:37,840 Speaker 3: the broader trend over the next three years, Let's say 46 00:02:38,200 --> 00:02:40,480 Speaker 3: I think that this is gonna continue to be a 47 00:02:40,480 --> 00:02:43,920 Speaker 3: bull market. I think it's gonna go materially higher, and 48 00:02:44,080 --> 00:02:46,320 Speaker 3: ultimately I think it's going to end in a in 49 00:02:46,360 --> 00:02:47,680 Speaker 3: a bursting of a bubble. 50 00:02:48,200 --> 00:02:50,120 Speaker 2: Uh. And the reason why I mentioned that kind. 51 00:02:49,919 --> 00:02:52,880 Speaker 3: Of that that that that rough edge of kind of 52 00:02:52,880 --> 00:02:55,680 Speaker 3: how this plays out is that if I'm right about 53 00:02:55,680 --> 00:02:58,080 Speaker 3: what the next three years look like and we get 54 00:02:58,240 --> 00:03:02,359 Speaker 3: just across the board optimism levels that I think are 55 00:03:02,360 --> 00:03:05,200 Speaker 3: hard to kind of comprehend, I think that ultimately there 56 00:03:05,200 --> 00:03:07,280 Speaker 3: probably is some sort of bubble bursting. But Tom, to 57 00:03:07,280 --> 00:03:09,959 Speaker 3: answer question, I think that you know, we're very. 58 00:03:09,800 --> 00:03:11,120 Speaker 2: Optimistic deep water. 59 00:03:11,200 --> 00:03:14,160 Speaker 3: We are about seventy percent of our investments are AI 60 00:03:14,320 --> 00:03:16,440 Speaker 3: related and I sleep well at night. 61 00:03:17,440 --> 00:03:20,040 Speaker 1: Jem, you said you were maybe a little bit cautious 62 00:03:20,080 --> 00:03:22,440 Speaker 1: on Microsoft that looked at the A and R function 63 00:03:22,480 --> 00:03:27,640 Speaker 1: for Microsoft sixty five buys seven holds zero cells. What's 64 00:03:27,680 --> 00:03:29,160 Speaker 1: your current view of Microsoft here? 65 00:03:30,560 --> 00:03:35,320 Speaker 3: You just have better places to invest in they've study revenue. 66 00:03:35,480 --> 00:03:38,640 Speaker 3: There is a lot of that predictability, which is attractive. 67 00:03:39,480 --> 00:03:41,360 Speaker 3: I just maybe to give some context to why the 68 00:03:41,400 --> 00:03:42,200 Speaker 3: stock is working. 69 00:03:42,240 --> 00:03:43,280 Speaker 2: That piece is attractive. 70 00:03:43,320 --> 00:03:47,720 Speaker 3: And second is Microsoft has probably been the most forward 71 00:03:47,720 --> 00:03:51,920 Speaker 3: thinking company when it comes to using AI to save costs. 72 00:03:51,920 --> 00:03:54,800 Speaker 3: They've talked about this five hundred million dollars in annual 73 00:03:54,840 --> 00:03:57,880 Speaker 3: savings just in terms of coding moving that over to 74 00:03:58,080 --> 00:04:01,960 Speaker 3: the machine. And so I think that investors are expecting 75 00:04:02,000 --> 00:04:04,600 Speaker 3: some margin expansion. So I think that, you know, that's 76 00:04:04,640 --> 00:04:08,800 Speaker 3: the reason why it's moving up. But the reason why I. 77 00:04:08,000 --> 00:04:10,520 Speaker 2: Just think there are better places to be is that. 78 00:04:10,640 --> 00:04:14,360 Speaker 3: Ultimately the upside to the numbers, if you look at 79 00:04:14,760 --> 00:04:17,280 Speaker 3: across the rest of the mag seven, I think there's 80 00:04:17,360 --> 00:04:20,640 Speaker 3: just more upside to you know, Microsoft, for example, is 81 00:04:20,680 --> 00:04:23,400 Speaker 3: not going to grow at twenty percent, Micro at fourteen 82 00:04:23,400 --> 00:04:25,640 Speaker 3: and a half percent, whereas you have a company like Apple, 83 00:04:26,600 --> 00:04:29,880 Speaker 3: surprisingly the streets looking for mid single digit growth next 84 00:04:29,920 --> 00:04:31,640 Speaker 3: year and you could see percent growth. 85 00:04:32,160 --> 00:04:35,120 Speaker 1: Geo's in a Klaim Bloomberg food court the other day 86 00:04:35,360 --> 00:04:37,400 Speaker 1: looking at the Red Sox box scores. I don't know 87 00:04:37,400 --> 00:04:39,800 Speaker 1: if you're word gene, but the Red Sox have won 88 00:04:39,880 --> 00:04:43,400 Speaker 1: ten in a row and one of our fancy artificial 89 00:04:43,440 --> 00:04:46,160 Speaker 1: intelligence people walked up to me and said, you know, Tom, 90 00:04:46,240 --> 00:04:49,520 Speaker 1: you need a brief So I got briefed. Do you 91 00:04:49,720 --> 00:04:56,320 Speaker 1: parse a difference between Chat, GBT, Google, Gemini? Help me here? 92 00:04:56,400 --> 00:05:01,880 Speaker 1: Anthropic perplexity is something? Are these all equal things? Gene 93 00:05:01,960 --> 00:05:04,960 Speaker 1: Munster or for our listeners and viewers? Do we need 94 00:05:05,000 --> 00:05:08,520 Speaker 1: to learn nuances of them? 95 00:05:08,680 --> 00:05:10,839 Speaker 2: Well, the answers, it's nuanced. 96 00:05:10,880 --> 00:05:13,160 Speaker 3: And this is something we're actually working on a bigger 97 00:05:13,200 --> 00:05:16,400 Speaker 3: project right now. We're going through and testing these different models, 98 00:05:16,720 --> 00:05:21,560 Speaker 3: and there are there's like broadly accepted testing benchmarking like 99 00:05:21,680 --> 00:05:25,880 Speaker 3: chat Bottterina for example, which is widely recognized, but there's 100 00:05:25,920 --> 00:05:28,240 Speaker 3: a lot of gamification in terms of how the companies 101 00:05:29,120 --> 00:05:32,200 Speaker 3: go up against those those benchmarks. And then there's just 102 00:05:32,760 --> 00:05:34,680 Speaker 3: the coding side, how well there's a code, And then 103 00:05:34,680 --> 00:05:36,600 Speaker 3: there's just like the real world, like does give you 104 00:05:36,640 --> 00:05:39,159 Speaker 3: the answer you're looking for? And it turns out that 105 00:05:39,320 --> 00:05:41,880 Speaker 3: each of these models, the exception of Lama Lama is 106 00:05:41,920 --> 00:05:43,520 Speaker 3: pretty weak and so but if you look at the 107 00:05:43,560 --> 00:05:47,440 Speaker 3: other four primary models, they all have kind of different strengths. 108 00:05:47,520 --> 00:05:51,760 Speaker 3: And so ultimately is that I think of AI as 109 00:05:51,880 --> 00:05:54,719 Speaker 3: more of like a personality is that the world isn't 110 00:05:54,720 --> 00:05:57,040 Speaker 3: going to be centered on one personality. 111 00:05:57,040 --> 00:05:57,960 Speaker 2: We won't want that. 112 00:05:58,120 --> 00:06:00,960 Speaker 3: And so each of these models as a slightly different 113 00:06:01,000 --> 00:06:03,520 Speaker 3: personality and slightly different strengths. And so that's what we 114 00:06:03,760 --> 00:06:05,760 Speaker 3: are seeing is if you're going to say, what's like 115 00:06:05,880 --> 00:06:09,440 Speaker 3: the BS model kind of putting everything all together, it's 116 00:06:09,920 --> 00:06:14,960 Speaker 3: it's probably open AI GPT today, and then GROC and 117 00:06:15,520 --> 00:06:17,240 Speaker 3: Gemini kind of close behind. 118 00:06:18,160 --> 00:06:18,960 Speaker 2: So Gene today. 119 00:06:19,000 --> 00:06:22,479 Speaker 1: The news is on the chip side. The US government says, 120 00:06:22,640 --> 00:06:25,680 Speaker 1: I don't know in Vidia AMD they can start sending 121 00:06:25,680 --> 00:06:28,360 Speaker 1: some of these advanced AI chips to China. What's the 122 00:06:28,400 --> 00:06:31,000 Speaker 1: backstory there with stocks are trading up on this news. 123 00:06:32,960 --> 00:06:35,320 Speaker 3: Well, it's big news obviously from Vidia, and they talked 124 00:06:35,320 --> 00:06:39,080 Speaker 3: three months ago about this impact being a negative fifteen percent. 125 00:06:38,800 --> 00:06:39,880 Speaker 2: To the overall growth. 126 00:06:40,360 --> 00:06:43,000 Speaker 3: So if you think about the street numbers, maybe just 127 00:06:43,000 --> 00:06:44,520 Speaker 3: to Paul the kind of zero in on what's going 128 00:06:44,560 --> 00:06:47,440 Speaker 3: on with Nvidia is company three months ago says we 129 00:06:47,520 --> 00:06:50,920 Speaker 3: can't sell these age twenties to China and that's going 130 00:06:51,000 --> 00:06:54,400 Speaker 3: to cost us fifteen percent of our revenue. The reason 131 00:06:54,440 --> 00:06:56,320 Speaker 3: why that the street numbers are not going to go 132 00:06:56,520 --> 00:06:59,640 Speaker 3: up by fifteen percent today is twofold. Number one is 133 00:06:59,680 --> 00:07:02,960 Speaker 3: the four analysts that cover in VideA, about eight of 134 00:07:02,960 --> 00:07:07,320 Speaker 3: them had anticipated that these curbs be released in this 135 00:07:07,360 --> 00:07:10,160 Speaker 3: current quarter, and so you saw some of the analysts 136 00:07:10,240 --> 00:07:14,560 Speaker 3: already expecting this announcement. And then separately, is that this 137 00:07:14,600 --> 00:07:17,240 Speaker 3: is good news. It's good news for Nvidia, but like 138 00:07:17,280 --> 00:07:21,480 Speaker 3: the whole geopolitical conversation around how chips play into rare 139 00:07:21,560 --> 00:07:22,600 Speaker 3: minerals and all. 140 00:07:22,520 --> 00:07:24,120 Speaker 2: That, that hasn't been solved. 141 00:07:24,120 --> 00:07:26,040 Speaker 3: And if one thing we've learned over the last three 142 00:07:26,120 --> 00:07:29,120 Speaker 3: months is that you really can't take one development in 143 00:07:29,160 --> 00:07:31,320 Speaker 3: a day and extrapolate over the next couple of years. 144 00:07:31,520 --> 00:07:33,800 Speaker 3: So that's why this stock's up five percent a day, 145 00:07:33,920 --> 00:07:34,960 Speaker 3: not fifteen percent. 146 00:07:35,120 --> 00:07:37,720 Speaker 1: Quickly, Let's do that with the Apple. Why not? Okay, 147 00:07:38,080 --> 00:07:40,840 Speaker 1: chine monster on Apple? Are they going to surprise people 148 00:07:40,880 --> 00:07:43,120 Speaker 1: with a plus plus here in the announcement? 149 00:07:45,360 --> 00:07:45,560 Speaker 2: You know? 150 00:07:45,640 --> 00:07:49,520 Speaker 3: As far as like the geopolitical side, like announcements there, 151 00:07:49,560 --> 00:07:51,840 Speaker 3: I don't know if anything's going to happen there. I 152 00:07:51,880 --> 00:07:53,600 Speaker 3: can say this is that if you look at the 153 00:07:53,680 --> 00:07:57,320 Speaker 3: mag seven and look at where is the likely most 154 00:07:57,480 --> 00:08:01,120 Speaker 3: upside in the September quarter, so pretty narrow near term focused. 155 00:08:01,400 --> 00:08:02,680 Speaker 2: Apple's at the top of the list. 156 00:08:02,680 --> 00:08:05,600 Speaker 3: The streets looking for flat revenue growth in the September quarter, 157 00:08:06,000 --> 00:08:08,960 Speaker 3: They're continuing they're going to benefit from that huge thirty 158 00:08:09,080 --> 00:08:11,480 Speaker 3: seven percent growth back in twenty twenty one. Of those 159 00:08:11,520 --> 00:08:14,680 Speaker 3: upgrades are going to be coming in. It's not flashy, 160 00:08:14,680 --> 00:08:17,520 Speaker 3: it's not AI. But in terms of going into this 161 00:08:17,640 --> 00:08:20,680 Speaker 3: print and the commentary about the September quarter, I think 162 00:08:20,680 --> 00:08:22,280 Speaker 3: Apple is gonna show well. 163 00:08:22,440 --> 00:08:24,400 Speaker 1: Jane, thanks for the brief. She Monster with us Steve 164 00:08:24,440 --> 00:08:26,080 Speaker 1: Water on technologists