1 00:00:00,000 --> 00:00:01,480 Speaker 1: You're gonna get right to this right now, Dan, I 2 00:00:01,480 --> 00:00:03,720 Speaker 1: have shows us some Wedbush here all over the media. 3 00:00:03,760 --> 00:00:05,960 Speaker 1: Of course, as we go into the mag eight Frenzy 4 00:00:06,720 --> 00:00:08,879 Speaker 1: Warren't buffet. He's part of the mag eate right now, 5 00:00:09,000 --> 00:00:12,280 Speaker 1: sixty five buys on Nvidio eight holds no sols like 6 00:00:12,400 --> 00:00:15,080 Speaker 1: you don't follow in video. You got a thug at 7 00:00:15,080 --> 00:00:16,960 Speaker 1: Webbush that follows it. 8 00:00:16,960 --> 00:00:19,880 Speaker 2: Right, Yeah, So our view and Nvidio, you know, we 9 00:00:19,880 --> 00:00:22,400 Speaker 2: have one hundred and thirty eight hour probably start bult 10 00:00:22,480 --> 00:00:24,040 Speaker 2: cases one seventy five. 11 00:00:24,239 --> 00:00:26,480 Speaker 1: Bernstein went to one fifty this morning, and. 12 00:00:26,480 --> 00:00:28,360 Speaker 2: I think this is just a star. I mean, look, 13 00:00:28,400 --> 00:00:30,680 Speaker 2: I think this by the end of the day or 14 00:00:30,720 --> 00:00:32,360 Speaker 2: even the next twenty four hours, this is a stock 15 00:00:32,440 --> 00:00:35,120 Speaker 2: that should be in the green based on everything we 16 00:00:35,200 --> 00:00:37,840 Speaker 2: saw from Godfather of Ai Jensen the video. 17 00:00:37,760 --> 00:00:39,720 Speaker 1: Pull get one more in here and I will so 18 00:00:39,800 --> 00:00:40,080 Speaker 1: good at that. 19 00:00:40,240 --> 00:00:42,319 Speaker 3: So, Dan, give us a sense. What did you hear 20 00:00:42,400 --> 00:00:46,920 Speaker 3: from nvidio last night? They beat numbers? Maybe the guidance 21 00:00:47,000 --> 00:00:49,320 Speaker 3: wasn't where the street was expecting, But what did you 22 00:00:49,360 --> 00:00:50,839 Speaker 3: really take away from Nvidia last night? 23 00:00:51,440 --> 00:00:55,200 Speaker 2: So three things? One demand, because the question is is 24 00:00:55,200 --> 00:00:59,840 Speaker 2: they're double ordering. What is enterprise demands actually accelerating. And 25 00:01:00,000 --> 00:01:02,160 Speaker 2: there's no better perch in terms of everything we're seeing 26 00:01:02,160 --> 00:01:06,479 Speaker 2: from AI than what Jensen sees. To Blackwell, all the 27 00:01:06,520 --> 00:01:10,520 Speaker 2: fears right, the worries is a gendle. They essentially put 28 00:01:10,560 --> 00:01:13,680 Speaker 2: those fears to rest, and that was so important. 29 00:01:13,720 --> 00:01:15,640 Speaker 1: Okay, you know I'm the only one that does Matthews 30 00:01:15,720 --> 00:01:18,440 Speaker 1: do not all this fancy dan eyes talk. You take 31 00:01:18,480 --> 00:01:20,800 Speaker 1: the ten billion share bibic of Apple, they've been doing 32 00:01:20,840 --> 00:01:23,280 Speaker 1: it for years, divided by free cash flow. You take 33 00:01:23,319 --> 00:01:26,839 Speaker 1: a fifty billion statistic divided by invidious free cash flow. 34 00:01:27,240 --> 00:01:31,560 Speaker 1: To me, it was a ginormous announcement. Everybody's saying it's 35 00:01:31,560 --> 00:01:33,399 Speaker 1: not a big deal. Was a share buy back a 36 00:01:33,400 --> 00:01:33,839 Speaker 1: big deal? 37 00:01:33,920 --> 00:01:36,800 Speaker 2: It's a monster deal. And also this also goes to 38 00:01:36,840 --> 00:01:39,760 Speaker 2: a company. You go back six months ago, out year, 39 00:01:39,800 --> 00:01:42,560 Speaker 2: by twenty five, twenty six, two dollars in earnings. Now 40 00:01:42,600 --> 00:01:43,919 Speaker 2: it's gonna be five to six hours. 41 00:01:44,160 --> 00:01:46,600 Speaker 1: I'm extended time here this morning with Dani's were welcome 42 00:01:46,720 --> 00:01:50,600 Speaker 1: you all around the world on YouTube and Android, Android 43 00:01:50,600 --> 00:01:53,920 Speaker 1: auto Apple car play as well. Okay, I go to Apple, 44 00:01:54,000 --> 00:01:57,440 Speaker 1: I go to the famed aggregation of Tom Secunda in 45 00:01:57,440 --> 00:01:59,640 Speaker 1: the Bloomberg news, and I'm just gonna read these Paul 46 00:01:59,720 --> 00:02:04,840 Speaker 1: quick mashable. Apple music playlists now transferable to YouTube music. 47 00:02:05,360 --> 00:02:09,440 Speaker 1: University of Wisconsin deny new trial as that go after somebody. 48 00:02:09,840 --> 00:02:13,800 Speaker 1: Apple orders ten percent more iPhones than last year. Apple 49 00:02:13,880 --> 00:02:17,720 Speaker 1: iPhone seventeen rumored to arrive at the Sweeney House before 50 00:02:17,800 --> 00:02:22,720 Speaker 1: September fifteenth. And on the last headline, Dan Ives on 51 00:02:22,840 --> 00:02:25,320 Speaker 1: Bloomberg Right now, I mean, here's the news out of 52 00:02:25,360 --> 00:02:29,840 Speaker 1: Tokyo shock. There's more iPhone orders. How do you translate that? 53 00:02:30,200 --> 00:02:33,160 Speaker 2: I mean, this is the start of an AI driven 54 00:02:33,240 --> 00:02:35,640 Speaker 2: super psych with iPhone sixteen. I think it's gonna be 55 00:02:35,720 --> 00:02:38,360 Speaker 2: historical period. Look, we've talked about a lot on the show. 56 00:02:38,880 --> 00:02:43,760 Speaker 2: Three hundred million of one point five billion iPhones, including Sweeney, 57 00:02:44,160 --> 00:02:49,079 Speaker 2: haven't upgraded in four plus years AI. Twenty five percent 58 00:02:49,080 --> 00:02:51,880 Speaker 2: of the world is going to access AI through an 59 00:02:51,919 --> 00:02:54,520 Speaker 2: Apple device. The consumer revolution all starts. 60 00:02:54,560 --> 00:02:57,919 Speaker 1: Stop it a push against you, Tom Keen and Paul Sweeney. 61 00:02:57,919 --> 00:03:01,040 Speaker 1: Don't give a damn about AI. Just want an iPhone 62 00:03:01,320 --> 00:03:03,959 Speaker 1: to know where our kids are. What's a big deal 63 00:03:03,960 --> 00:03:06,520 Speaker 1: about AI If Paul Sweeney's not gonna use it? 64 00:03:06,800 --> 00:03:09,679 Speaker 2: So that's today. If you look at the app There's 65 00:03:09,680 --> 00:03:13,880 Speaker 2: gonna be hundreds of apps built on Apple Intelligence that 66 00:03:13,919 --> 00:03:18,000 Speaker 2: are gonna be AI driven as well as this open AI. 67 00:03:18,080 --> 00:03:20,280 Speaker 2: It's good. It's essentially gonna be a personal assistant that 68 00:03:20,360 --> 00:03:24,359 Speaker 2: really from a data perspective, understands paul sway understands, can 69 00:03:24,560 --> 00:03:27,840 Speaker 2: understand your habits. This is gonna change. This is how 70 00:03:27,919 --> 00:03:31,560 Speaker 2: most consumers are now going to interact with AI. 71 00:03:32,400 --> 00:03:35,600 Speaker 3: China. What's the latest on China? My concern always in 72 00:03:35,640 --> 00:03:38,240 Speaker 3: the back of my mind is that the average Chinese 73 00:03:38,240 --> 00:03:40,880 Speaker 3: consumer is saying, I'm just not buying American. Is that 74 00:03:40,960 --> 00:03:43,560 Speaker 3: an issue for Apple in terms of market share? 75 00:03:43,760 --> 00:03:46,160 Speaker 2: I mean, as someone that spends time in the region, 76 00:03:46,640 --> 00:03:50,400 Speaker 2: the average Chinese consumer wants the best product in the world, 77 00:03:50,480 --> 00:03:53,600 Speaker 2: which is an Apple device. So I'm not saying that 78 00:03:53,640 --> 00:03:57,880 Speaker 2: there aren't some geopolitical headwinds. We're actually seeing more tail 79 00:03:57,920 --> 00:04:01,200 Speaker 2: wins out of China, especially iPhone sixteen. You have one 80 00:04:01,240 --> 00:04:04,120 Speaker 2: hundred million iPhones that are basically having upgrade four years, 81 00:04:04,240 --> 00:04:07,320 Speaker 2: So I think any headwinds there starting now come down. 82 00:04:07,520 --> 00:04:11,160 Speaker 2: That's why I cook ninety percent CEO ten percent politician. 83 00:04:11,480 --> 00:04:13,920 Speaker 3: Right, Yeah, it's smart. How about India? We were just 84 00:04:13,920 --> 00:04:15,480 Speaker 3: I was just talking about this with somebody at the 85 00:04:15,520 --> 00:04:17,360 Speaker 3: club last night. Tom at the bar, we were talking 86 00:04:17,480 --> 00:04:20,160 Speaker 3: iPhones in India. How that came about? I have no 87 00:04:20,200 --> 00:04:24,239 Speaker 3: idea you at the club last night. There's no club 88 00:04:24,279 --> 00:04:26,919 Speaker 3: that would take or would I want to be in 89 00:04:26,960 --> 00:04:27,360 Speaker 3: that club? 90 00:04:27,920 --> 00:04:29,799 Speaker 2: Or were you at the watch party for a video? 91 00:04:30,320 --> 00:04:33,839 Speaker 1: Yes, wisan Thal was that whatever? 92 00:04:34,920 --> 00:04:36,600 Speaker 2: I thought Sweeney was going to be at that watch 93 00:04:36,640 --> 00:04:38,360 Speaker 2: But I. 94 00:04:38,160 --> 00:04:40,760 Speaker 1: At least day trading office couch at the cottage. I 95 00:04:41,279 --> 00:04:43,760 Speaker 1: can only say my club last night, I was a club. 96 00:04:43,800 --> 00:04:47,040 Speaker 1: Do the dishes club? India? 97 00:04:47,360 --> 00:04:50,240 Speaker 3: What's the opportunity there for Apple in India? Don't they 98 00:04:50,279 --> 00:04:53,040 Speaker 3: have to have a lower price phone in that market? 99 00:04:53,279 --> 00:04:56,320 Speaker 2: But in India you've actually had a rising middle class, 100 00:04:56,360 --> 00:04:58,600 Speaker 2: and I think if you that's always been a tough 101 00:04:58,640 --> 00:05:03,280 Speaker 2: market for Apple. Three percent iPhones we think called by 102 00:05:03,279 --> 00:05:05,520 Speaker 2: the next two years it's gonna be ten to twelve 103 00:05:05,520 --> 00:05:09,760 Speaker 2: percent overall iPhones. India is actually gonna be robust for Apple, 104 00:05:09,880 --> 00:05:11,200 Speaker 2: especially on different price points. 105 00:05:11,279 --> 00:05:14,960 Speaker 1: How many iPhones are purchased a wise one on a 106 00:05:15,000 --> 00:05:18,159 Speaker 1: plan from a phone company and not where somebody spends 107 00:05:18,240 --> 00:05:20,359 Speaker 1: eight hundred or one thousand dollars on the toy. 108 00:05:20,720 --> 00:05:22,839 Speaker 2: I mean, it's a huge number. I mean, it's a 109 00:05:22,920 --> 00:05:26,159 Speaker 2: huge number. And if you look at the carrier discounts 110 00:05:26,160 --> 00:05:28,160 Speaker 2: that's gonna come and this is the big thing. 111 00:05:28,240 --> 00:05:30,520 Speaker 1: Do you have information on them? You'd like to break 112 00:05:30,640 --> 00:05:31,240 Speaker 1: on Bloomberg. 113 00:05:31,320 --> 00:05:35,760 Speaker 2: So everything we're seeing, we think it was gonna essentially 114 00:05:35,800 --> 00:05:42,080 Speaker 2: be unprecedented types of promotion from especially US carriers at 115 00:05:42,200 --> 00:05:46,360 Speaker 2: and just because this is the time in other words, 116 00:05:46,480 --> 00:05:49,080 Speaker 2: when you think about five G when that came out, 117 00:05:49,400 --> 00:05:52,359 Speaker 2: and now essentially AI, this is really gonna be the 118 00:05:52,400 --> 00:05:56,160 Speaker 2: opportunity in terms of carrier discounts and what really starts 119 00:05:56,279 --> 00:05:59,880 Speaker 2: to about maturity on a smartphone cycle. This is now 120 00:06:00,520 --> 00:06:03,719 Speaker 2: that consumer AI revolution that actually will go through Cooper 121 00:06:03,760 --> 00:06:06,440 Speaker 2: Tino and we think that's how we have a four 122 00:06:06,560 --> 00:06:08,800 Speaker 2: trillion dollar mark cap as you know going to early 123 00:06:08,839 --> 00:06:09,440 Speaker 2: next year. 124 00:06:09,360 --> 00:06:11,039 Speaker 1: Do you have some of the parts on Apple you 125 00:06:11,080 --> 00:06:11,559 Speaker 1: can update? 126 00:06:11,760 --> 00:06:15,160 Speaker 2: Yeah, so we have one point seven trillion is what 127 00:06:15,160 --> 00:06:18,560 Speaker 2: what I view is the services value. And when you 128 00:06:18,640 --> 00:06:21,559 Speaker 2: sort of some of the parts that that's something where 129 00:06:21,600 --> 00:06:23,440 Speaker 2: you know, you got a one hundred billion a rev 130 00:06:23,640 --> 00:06:27,719 Speaker 2: growing mid teens, free cash margins are double the hardware business. 131 00:06:27,960 --> 00:06:30,920 Speaker 2: You combine it, it's over four trillion. I think bull 132 00:06:31,040 --> 00:06:33,320 Speaker 2: cases ultimately you know over over three. 133 00:06:33,200 --> 00:06:37,200 Speaker 3: Hundred Microsoft, which I know you've been very bullish on Microsoft. 134 00:06:37,279 --> 00:06:38,640 Speaker 3: What's the thought these days? 135 00:06:38,760 --> 00:06:41,520 Speaker 2: You look in a video's call last night, you also 136 00:06:41,560 --> 00:06:44,680 Speaker 2: buy Microsoft because Nadella and Redmud are weeding. Then on 137 00:06:44,720 --> 00:06:47,960 Speaker 2: the software side, you look at open Ai. They're really 138 00:06:48,040 --> 00:06:51,760 Speaker 2: dominating in that amount rushmore. That's where Nadella is along 139 00:06:51,800 --> 00:06:52,600 Speaker 2: with Jensen. 140 00:06:52,960 --> 00:06:59,279 Speaker 1: Does Blackwell compete with Azure or do they cohabitate They're complementary. 141 00:06:59,440 --> 00:07:01,920 Speaker 1: Thing about I don't understand that exploits. 142 00:07:01,720 --> 00:07:05,560 Speaker 2: So essentially Blackwell is almost the architecture, the foundation of 143 00:07:05,600 --> 00:07:10,680 Speaker 2: a house. Microsoft is the actual house. The actual rooms 144 00:07:10,920 --> 00:07:14,680 Speaker 2: will be different software players, service now you know called 145 00:07:14,720 --> 00:07:18,360 Speaker 2: salesforce and others. What protects the house, cybersecurity names like 146 00:07:18,400 --> 00:07:21,640 Speaker 2: pale out though and others. Look, I continue to think 147 00:07:21,760 --> 00:07:26,800 Speaker 2: in Vidia today it's Lebron in high school. That's essentially 148 00:07:26,800 --> 00:07:31,080 Speaker 2: where they are. Lebron in high school, in Vidia, that's 149 00:07:31,120 --> 00:07:31,720 Speaker 2: where they are. 150 00:07:32,360 --> 00:07:35,120 Speaker 3: So I guess so when we think about this AI 151 00:07:35,240 --> 00:07:38,520 Speaker 3: spending here, the numbers are just almost numbing. That is 152 00:07:38,680 --> 00:07:42,880 Speaker 3: so big. How much of the AI capital spending the 153 00:07:43,280 --> 00:07:46,120 Speaker 3: is it incremental versus just taken away from other tech 154 00:07:46,440 --> 00:07:47,720 Speaker 3: budgets like it or something. 155 00:07:47,840 --> 00:07:51,720 Speaker 2: So I'd say about eight hundred billion of the trillion 156 00:07:52,520 --> 00:07:55,880 Speaker 2: is incremental. Wow, so there's two hundred billion that. Of 157 00:07:55,920 --> 00:07:59,040 Speaker 2: course there's accounnibalization impact and there will be losers on that, 158 00:07:59,400 --> 00:08:01,600 Speaker 2: but it really is incremental, and it just speaks to 159 00:08:02,000 --> 00:08:04,640 Speaker 2: strong get stronger in tech. And then you can say 160 00:08:04,640 --> 00:08:08,200 Speaker 2: about about regulatory. Regulatory is in a minivan going forty 161 00:08:08,200 --> 00:08:10,360 Speaker 2: miles an hour in the right lane, and the technology 162 00:08:10,400 --> 00:08:13,040 Speaker 2: is in a Ferrari key in the Ferrari left leane 163 00:08:13,080 --> 00:08:14,160 Speaker 2: going one hundred miles an hour. 164 00:08:14,360 --> 00:08:17,160 Speaker 1: What is the free cash flow growth of the MAG 165 00:08:17,280 --> 00:08:20,600 Speaker 1: seven when you aggregate them together. There's a secret Exel 166 00:08:20,800 --> 00:08:23,400 Speaker 1: spreadsheet in the basement of the eyves. 167 00:08:23,000 --> 00:08:26,680 Speaker 2: Of free cash for growth of MAG seven is i'd 168 00:08:26,720 --> 00:08:29,960 Speaker 2: say upper teams into potentially. 169 00:08:29,600 --> 00:08:31,280 Speaker 1: Really, you're gonna give me a two zero one. 170 00:08:31,320 --> 00:08:34,560 Speaker 2: I think it could start to now get that high 171 00:08:34,679 --> 00:08:37,280 Speaker 2: till we go into next two three. And that's why, look, 172 00:08:37,320 --> 00:08:40,439 Speaker 2: I get it. The bears continue to you know, they 173 00:08:40,480 --> 00:08:44,679 Speaker 2: sit there with their spreadsheets DCF being negative. Ontack, I'm 174 00:08:44,679 --> 00:08:45,319 Speaker 2: gonna stop there. 175 00:08:45,360 --> 00:08:48,280 Speaker 1: This is too important. You're going to DCF. I asked 176 00:08:48,280 --> 00:08:51,240 Speaker 1: this with Paul yesterday. How do you do with terminal 177 00:08:51,360 --> 00:08:55,199 Speaker 1: value on these juggernuts. This does not see FA one 178 00:08:55,240 --> 00:08:56,079 Speaker 1: on one, but you. 179 00:08:56,160 --> 00:09:00,160 Speaker 2: Have to ultimately trajectory out what the capax looks like, 180 00:09:00,880 --> 00:09:04,760 Speaker 2: what's the incremental dollars and what that ultimately means to 181 00:09:04,800 --> 00:09:05,160 Speaker 2: the WARLD. 182 00:09:05,520 --> 00:09:06,920 Speaker 1: How far out does Dana ives go? 183 00:09:07,040 --> 00:09:10,360 Speaker 2: You basically have to go out six, eight, ten years 184 00:09:10,360 --> 00:09:12,280 Speaker 2: to actually do a tradrest like when you look at 185 00:09:12,280 --> 00:09:15,199 Speaker 2: Microsoft the way that you get four and a half 186 00:09:15,280 --> 00:09:18,160 Speaker 2: five trillion, okay, just for you have to bas gonna 187 00:09:18,160 --> 00:09:20,800 Speaker 2: say how much of percentage of cappacks they're gonna get, 188 00:09:21,000 --> 00:09:24,680 Speaker 2: what demonization, what does the free cash will incrementally look like? 189 00:09:25,520 --> 00:09:27,760 Speaker 2: And that's where all these stories change. But then there's 190 00:09:27,760 --> 00:09:31,160 Speaker 2: other names like a pall and Teer, the Messi of AI. 191 00:09:31,679 --> 00:09:33,920 Speaker 2: It wasn't even on the radar. Now they're Lebron and 192 00:09:35,360 --> 00:09:36,640 Speaker 2: their core AI play. 193 00:09:37,080 --> 00:09:39,160 Speaker 3: Hey, Dan, one of the key action which of your 194 00:09:39,200 --> 00:09:41,320 Speaker 3: research is that you travel the globe. You see people 195 00:09:41,360 --> 00:09:42,920 Speaker 3: all over the place. What's your next trip? 196 00:09:43,480 --> 00:09:45,640 Speaker 2: So you'll be going to Asia on Monday, be there 197 00:09:45,679 --> 00:09:48,839 Speaker 2: for two weeks and look to me, that's where we've 198 00:09:48,840 --> 00:09:51,720 Speaker 2: got That's where we get edged. Because I think a 199 00:09:51,720 --> 00:09:54,880 Speaker 2: lot of investors how they've missed AI Revolution. They try 200 00:09:54,920 --> 00:09:58,160 Speaker 2: to find it on the Metro North Jersey transit on 201 00:09:58,240 --> 00:09:59,920 Speaker 2: the tenth four of their office building in New York. 202 00:10:00,040 --> 00:10:02,680 Speaker 2: Her Sam Frand you gotta travel to see it, And 203 00:10:02,720 --> 00:10:03,840 Speaker 2: I think that, So what. 204 00:10:03,720 --> 00:10:06,240 Speaker 1: Do you see when you go to We see. 205 00:10:06,000 --> 00:10:09,800 Speaker 2: The suppliers, we see the component players. I also think 206 00:10:09,840 --> 00:10:13,840 Speaker 2: by seeing global investors you get a very good sense 207 00:10:14,160 --> 00:10:16,200 Speaker 2: in terms of where things are, and I think it 208 00:10:16,280 --> 00:10:18,520 Speaker 2: just gives you a little more perspective. 209 00:10:18,600 --> 00:10:21,720 Speaker 1: Final, can you convince John Tucker to upgrade this time around? 210 00:10:21,960 --> 00:10:22,000 Speaker 2: No? 211 00:10:22,200 --> 00:10:26,360 Speaker 4: I think I think I think Tucker after going to 212 00:10:26,440 --> 00:10:29,680 Speaker 4: the Inn video watch party last night, that he might 213 00:10:29,840 --> 00:10:32,720 Speaker 4: now potentially upgrade to an iPhone. 214 00:10:33,440 --> 00:10:35,840 Speaker 1: O cursonally Blackwell Ship Where have I heard that name? 215 00:10:36,000 --> 00:10:38,840 Speaker 1: Remember mister Blackwell, the guy who did the best and 216 00:10:38,920 --> 00:10:40,400 Speaker 1: worst stress less? Oh yeah? 217 00:10:40,320 --> 00:10:40,520 Speaker 3: Where? 218 00:10:42,840 --> 00:10:45,280 Speaker 2: I think Kean would be at the top. Kean would 219 00:10:45,280 --> 00:10:46,960 Speaker 2: be at the top, and I'd be and maybe like 220 00:10:47,040 --> 00:10:48,840 Speaker 2: the like other category. 221 00:10:48,679 --> 00:10:53,080 Speaker 1: Mister travels qugely valuable well curse future, mister Rymes, mister 222 00:10:53,200 --> 00:10:56,959 Speaker 1: Munster together today on Bloomberg Surveillance. That's the way that 223 00:10:57,000 --> 00:10:57,439 Speaker 1: we roll