1 00:00:02,520 --> 00:00:08,639 Speaker 1: Bloomberg Audio Studios, podcasts, radio news, joining us down. 2 00:00:08,760 --> 00:00:09,200 Speaker 2: Have you hit her? 3 00:00:09,280 --> 00:00:12,160 Speaker 1: Dan Ives from Scottsdale, Arizona. 4 00:00:12,360 --> 00:00:16,840 Speaker 3: Dan, You've got Dodgers giants, I believe tomorrow right, Yeah. 5 00:00:17,000 --> 00:00:20,680 Speaker 2: So look it's uh, we got some AI, some Nvidio 6 00:00:20,840 --> 00:00:22,079 Speaker 2: and then you got some baseball. 7 00:00:22,520 --> 00:00:25,319 Speaker 3: Well have to see on it translated video. We've really 8 00:00:25,320 --> 00:00:26,520 Speaker 3: had a focus on the show. 9 00:00:26,560 --> 00:00:29,320 Speaker 1: On it. You put out a real reaffirmation. 10 00:00:29,960 --> 00:00:33,720 Speaker 3: Now how far out are you looking on Dan Ives 11 00:00:34,320 --> 00:00:35,199 Speaker 3: on invidious? 12 00:00:35,200 --> 00:00:35,760 Speaker 1: Excuse me? 13 00:00:36,560 --> 00:00:39,680 Speaker 4: I look, these are Michael Jordan like numbers. 14 00:00:40,240 --> 00:00:42,560 Speaker 2: I mean, if you look on the data center side, 15 00:00:42,720 --> 00:00:45,560 Speaker 2: I mean you're talking about, you know, five to seven 16 00:00:45,640 --> 00:00:49,800 Speaker 2: hundred BIPs above street whisper numbers into next quarter seventy 17 00:00:49,840 --> 00:00:52,839 Speaker 2: percent growth it's seventy seven percent. I mean you talk 18 00:00:52,840 --> 00:00:56,320 Speaker 2: about love of large numbers, it doesn't apply within video. 19 00:00:56,360 --> 00:00:59,640 Speaker 2: And I think as it poys out, this is showing 20 00:01:00,160 --> 00:01:03,800 Speaker 2: the five hundred billion they talked about with Blackwell and Rubin. 21 00:01:04,160 --> 00:01:08,000 Speaker 2: It's conservative and I think his numbers look out thirty 22 00:01:08,040 --> 00:01:11,320 Speaker 2: percent growth next year probably goes close to forty percent. 23 00:01:11,640 --> 00:01:13,080 Speaker 4: And that's why I think there's a stock that. 24 00:01:13,040 --> 00:01:15,760 Speaker 2: Should be up significantly as we look into the coming 25 00:01:15,760 --> 00:01:17,000 Speaker 2: weeks and months, how. 26 00:01:16,880 --> 00:01:19,840 Speaker 5: Do you put in video Visa VI AMD. These days, 27 00:01:19,880 --> 00:01:22,720 Speaker 5: AMD seems to be really stepping up its cadence of announcements. 28 00:01:22,720 --> 00:01:25,800 Speaker 5: Obviously they deal with meta. They made another announcement today. 29 00:01:25,840 --> 00:01:28,440 Speaker 5: I know in video is the big big player there, Dan, 30 00:01:28,480 --> 00:01:30,880 Speaker 5: but how do you size up just the competitive landscape? 31 00:01:31,440 --> 00:01:32,440 Speaker 4: Look Liza's suit. 32 00:01:32,480 --> 00:01:35,320 Speaker 2: Look if Lisa's suit is flying the plane, you're in 33 00:01:35,480 --> 00:01:39,959 Speaker 2: three a drinking cabernet, watching Netflix, feeling really good. Okay, 34 00:01:40,040 --> 00:01:43,640 Speaker 2: so you know she making all the right moves from 35 00:01:43,720 --> 00:01:47,360 Speaker 2: narrow the gap because in video that's obviously the one 36 00:01:47,440 --> 00:01:50,600 Speaker 2: chip in the world fueling the AI revolution. But AMD, 37 00:01:50,840 --> 00:01:52,880 Speaker 2: you know they're going to get fifteen to twenty percent 38 00:01:52,880 --> 00:01:54,520 Speaker 2: of this market over the coming years. 39 00:01:54,800 --> 00:01:55,360 Speaker 1: One of the. 40 00:01:55,120 --> 00:01:57,400 Speaker 3: Theme I see in the research notes this morning is 41 00:01:57,440 --> 00:01:59,960 Speaker 3: most people like Dan ives lift up their price target. 42 00:02:00,080 --> 00:02:04,040 Speaker 3: It's some concervatively, some with a little more aggression. Is Dan, 43 00:02:04,120 --> 00:02:07,280 Speaker 3: I's the idea that they will expand beyond five or 44 00:02:07,400 --> 00:02:08,680 Speaker 3: six vendors. 45 00:02:09,080 --> 00:02:11,320 Speaker 1: Is that an assured thing? Or is it? 46 00:02:11,360 --> 00:02:14,160 Speaker 3: Would you put that under risk factors that they can't 47 00:02:14,160 --> 00:02:16,000 Speaker 3: get the rest of the world to pay up for 48 00:02:16,080 --> 00:02:16,600 Speaker 3: in Vidia? 49 00:02:18,040 --> 00:02:20,640 Speaker 4: Yeah, look, I think right now yeah, you don't have 50 00:02:20,680 --> 00:02:21,200 Speaker 4: a choice. 51 00:02:21,760 --> 00:02:24,880 Speaker 2: And that's when you look at margins, gross margins seventy 52 00:02:24,880 --> 00:02:29,360 Speaker 2: five percent. Over the coming years, you will have competition. 53 00:02:29,520 --> 00:02:32,960 Speaker 2: Big tech companies are gonna try building own chips, obviously AMD, 54 00:02:33,320 --> 00:02:37,160 Speaker 2: you see Huawei and China and others. But the reality is, 55 00:02:37,240 --> 00:02:40,640 Speaker 2: especially when it comes like physical AI autonomous robotics, you're 56 00:02:40,639 --> 00:02:43,880 Speaker 2: gonna have no choice right now where in VIDIA. You're 57 00:02:43,919 --> 00:02:46,960 Speaker 2: gonna ultimately have to go down that route within Vidia. 58 00:02:47,880 --> 00:02:52,400 Speaker 2: But this is gonna spread five, seven, ten vendors over time, 59 00:02:52,800 --> 00:02:55,800 Speaker 2: but at least the next eighteen twenty four months, probably 60 00:02:55,800 --> 00:02:58,680 Speaker 2: thirty six months. If you're calling the red phone for 61 00:02:58,760 --> 00:03:01,959 Speaker 2: a chip, it's the godfather of AI, black. 62 00:03:01,800 --> 00:03:04,079 Speaker 4: Leather Jack of Jensen. Who's answering that phone? 63 00:03:04,639 --> 00:03:08,680 Speaker 5: Dan, what's the uh, what's the conversation you're having these 64 00:03:08,800 --> 00:03:13,160 Speaker 5: days with your tech clients as it relates to software 65 00:03:13,240 --> 00:03:17,640 Speaker 5: and just the threat potential real? I don't know, uh, 66 00:03:17,880 --> 00:03:20,560 Speaker 5: that AI may pose to some of these software vendors, 67 00:03:20,919 --> 00:03:22,960 Speaker 5: because boy, those stocks have been taken out to the woodshit. 68 00:03:23,919 --> 00:03:28,080 Speaker 2: Yeah, Paul, it's it's the most in my opinion, disconnected 69 00:03:28,720 --> 00:03:33,080 Speaker 2: trade that I've seen in my career. Because and Jensen 70 00:03:33,160 --> 00:03:36,480 Speaker 2: hit on it last night on the Earnings called software 71 00:03:36,640 --> 00:03:40,040 Speaker 2: will be the hearts and lungs from a data perspective 72 00:03:40,040 --> 00:03:40,560 Speaker 2: and use. 73 00:03:40,440 --> 00:03:44,440 Speaker 4: Cases of AI. So the concept that Claw and. 74 00:03:44,400 --> 00:03:47,360 Speaker 2: Others are going to unseat these you know when you 75 00:03:47,400 --> 00:03:50,840 Speaker 2: look at sales for a service now, Microsoft, others, it's 76 00:03:50,880 --> 00:03:54,240 Speaker 2: a fictional tell and I think investors trying to figure out, like, 77 00:03:54,560 --> 00:03:57,520 Speaker 2: how do you play software? Right now? Everyone's running for 78 00:03:57,560 --> 00:03:59,960 Speaker 2: the hills. You're owning Semi's in hardware, no one's in 79 00:04:00,080 --> 00:04:03,040 Speaker 2: touch and software. But I viewed as the opportunity to 80 00:04:03,080 --> 00:04:04,480 Speaker 2: own some of these core winners. 81 00:04:05,200 --> 00:04:07,960 Speaker 5: I mean, what's the conversation you're having. I would think 82 00:04:08,000 --> 00:04:11,119 Speaker 5: the hedge funds would be really If I'm a hedge 83 00:04:11,120 --> 00:04:13,440 Speaker 5: fund manager, I'm going right to my tech ontos and saying, 84 00:04:14,520 --> 00:04:17,600 Speaker 5: I think this might be once in a lifetime opportunity 85 00:04:17,680 --> 00:04:20,520 Speaker 5: to buy some of these names. I mean, but you 86 00:04:20,560 --> 00:04:23,640 Speaker 5: can be obviously really right or really wrong here. 87 00:04:23,680 --> 00:04:26,920 Speaker 4: What do you think the conversation is the conversation? 88 00:04:27,320 --> 00:04:30,040 Speaker 2: You'd think it's that, but it's actually I think it's 89 00:04:30,080 --> 00:04:33,440 Speaker 2: almost the opposite. You're saying, everyone just run to Semis 90 00:04:33,440 --> 00:04:33,720 Speaker 2: and arms. 91 00:04:35,120 --> 00:04:36,120 Speaker 1: This is important, Dan. 92 00:04:36,240 --> 00:04:39,520 Speaker 3: On this Thursday, you can report right now that what 93 00:04:39,800 --> 00:04:42,960 Speaker 3: you what you're observing is people are still running. 94 00:04:44,160 --> 00:04:48,960 Speaker 2: Running for the hills like you know they're being chased 95 00:04:48,960 --> 00:04:49,839 Speaker 2: by a dinosaur. 96 00:04:49,960 --> 00:04:52,599 Speaker 3: Okay, well let me let me interrupt here because you 97 00:04:52,720 --> 00:04:55,320 Speaker 3: killed this in April. We were running for the hills 98 00:04:55,320 --> 00:04:58,440 Speaker 3: on April, the first week of April. 99 00:04:58,320 --> 00:05:02,360 Speaker 1: Last year, and you know you nailed that along with 100 00:05:02,400 --> 00:05:03,880 Speaker 1: some other people. You weren't alone. 101 00:05:04,279 --> 00:05:07,400 Speaker 3: Is this the same equivalent, the same analog now? Is 102 00:05:07,440 --> 00:05:10,360 Speaker 3: the running there of April, you know a year ago? 103 00:05:11,400 --> 00:05:15,479 Speaker 2: Generally it would be like being negative on Aaron Judge 104 00:05:15,880 --> 00:05:17,239 Speaker 2: because of the way you play. 105 00:05:17,400 --> 00:05:18,960 Speaker 4: Is the first week of a season. 106 00:05:19,440 --> 00:05:21,760 Speaker 2: The point is if you look at this over years, 107 00:05:22,160 --> 00:05:26,320 Speaker 2: right service now, salesforce, what Arvin doing at IBM, you 108 00:05:26,360 --> 00:05:31,600 Speaker 2: look at Microsoft, I viewed these generational opportunities and as is, 109 00:05:31,720 --> 00:05:33,760 Speaker 2: all plays out and that's why right now, like the 110 00:05:33,800 --> 00:05:37,360 Speaker 2: Bears are winning the narrative in the day that's going 111 00:05:37,400 --> 00:05:40,040 Speaker 2: to be short lived. That's how you ultimately, that's how 112 00:05:40,040 --> 00:05:41,320 Speaker 2: you make money in this market. 113 00:05:41,360 --> 00:05:43,200 Speaker 3: Okay, let's switch yours, Dan As with the stock go 114 00:05:43,360 --> 00:05:46,560 Speaker 3: out of Tech Research and Webbish Security from Scottsdale, Arizona. 115 00:05:47,520 --> 00:05:48,039 Speaker 1: This morning. 116 00:05:48,080 --> 00:05:50,239 Speaker 3: We welcome all of you around the world and across 117 00:05:50,279 --> 00:05:53,120 Speaker 3: the nation. Apple's going to do some soire right now. 118 00:05:53,160 --> 00:05:55,720 Speaker 3: I see all the Apple gossip. I think they did 119 00:05:55,760 --> 00:06:00,240 Speaker 3: a product refresh last year. What's the product refresh look 120 00:06:00,360 --> 00:06:01,400 Speaker 3: like this year? 121 00:06:02,440 --> 00:06:04,920 Speaker 2: Yeah, I mean that'll be like on when you look 122 00:06:04,960 --> 00:06:08,960 Speaker 2: at different models from the iPhone, the sc You're gonna 123 00:06:08,960 --> 00:06:12,760 Speaker 2: have some lower cost models that they release. And I 124 00:06:12,800 --> 00:06:17,080 Speaker 2: think this is one where they start to tiptoe into iOS. 125 00:06:17,400 --> 00:06:19,560 Speaker 2: We talk about twenty six four to twenty sixty five 126 00:06:19,600 --> 00:06:25,400 Speaker 2: where that's gonna finally be Serie AI, which all leads 127 00:06:25,400 --> 00:06:30,280 Speaker 2: into WWDC and iPhone eighteen. Look at the way, and 128 00:06:30,960 --> 00:06:33,240 Speaker 2: like we obviously thought about all the time, look at 129 00:06:33,240 --> 00:06:34,320 Speaker 2: the way Apple's trading. 130 00:06:34,680 --> 00:06:36,560 Speaker 4: I am telling you right now, this. 131 00:06:36,440 --> 00:06:40,320 Speaker 2: Is the stock Google in twenty twenty five will be 132 00:06:40,440 --> 00:06:42,040 Speaker 2: Apple in twenty twenty six. 133 00:06:42,120 --> 00:06:43,840 Speaker 4: Between the proc refreshers in AI. 134 00:06:43,960 --> 00:06:47,280 Speaker 3: I'll listen to you, Okay, I've been using AI here 135 00:06:47,800 --> 00:06:49,840 Speaker 3: and all I know is Penn State has to play 136 00:06:49,880 --> 00:06:54,320 Speaker 3: Wisconsin USC and October seventeenth Michigan. 137 00:06:54,640 --> 00:06:57,080 Speaker 1: I mean, Penn State State is a tough schedule. 138 00:06:56,760 --> 00:06:58,160 Speaker 5: But they don't have to play Ohio State. 139 00:06:58,720 --> 00:06:59,160 Speaker 4: That's big. 140 00:06:59,279 --> 00:07:03,200 Speaker 3: Okay, that's we now report from State College Pennsylvania with 141 00:07:03,279 --> 00:07:04,320 Speaker 3: Daniel Ives as well. 142 00:07:04,480 --> 00:07:06,160 Speaker 1: Are they beyond the coaching. 143 00:07:05,800 --> 00:07:10,840 Speaker 2: Tobaccle Oh and we we we got the golden ticket 144 00:07:10,880 --> 00:07:13,920 Speaker 2: with Campbell's coach. Now, I told you, like we've talked 145 00:07:13,920 --> 00:07:17,360 Speaker 2: about it. It's the rebuild to a Natty in the 146 00:07:17,400 --> 00:07:19,960 Speaker 2: next few years. Big ten right now, I hate to 147 00:07:20,000 --> 00:07:21,880 Speaker 2: say for the SEC. I mean it's a Big ten 148 00:07:21,960 --> 00:07:24,880 Speaker 2: dominant league. I think Penn State is in just a 149 00:07:24,960 --> 00:07:28,240 Speaker 2: phenomenal position going into twenty six and beyond. 150 00:07:28,840 --> 00:07:31,440 Speaker 5: You know, tell them at Penn State football is good, 151 00:07:31,920 --> 00:07:36,000 Speaker 5: but the wrestling program is it like like I went back. 152 00:07:35,880 --> 00:07:37,680 Speaker 1: In kids were kids. 153 00:07:37,920 --> 00:07:40,360 Speaker 5: Yeah, and people go to the matches, they go to 154 00:07:40,560 --> 00:07:42,280 Speaker 5: like ends that Dane. 155 00:07:42,320 --> 00:07:44,920 Speaker 3: I seriously here, You've been a huge supporter as an 156 00:07:44,960 --> 00:07:47,240 Speaker 3: alumni of Penn State. You're down on the field and 157 00:07:47,280 --> 00:07:51,040 Speaker 3: all their rock star stuff. If they ruined college football, 158 00:07:51,440 --> 00:07:54,360 Speaker 3: is it now becomes so commercial it's just not the 159 00:07:54,440 --> 00:07:56,360 Speaker 3: same that you and I and Paul new years ago. 160 00:07:57,520 --> 00:08:00,400 Speaker 2: I actually I think they even the playing When I 161 00:08:00,400 --> 00:08:03,280 Speaker 2: look at Nil, I mean now it actually comes down 162 00:08:03,320 --> 00:08:07,480 Speaker 2: to like you're seeing more, You're seeing the ability. That's 163 00:08:07,480 --> 00:08:10,840 Speaker 2: why I think Big ten is obviously started becoming dominant levers, 164 00:08:10,960 --> 00:08:15,080 Speaker 2: sec look the competition and the. 165 00:08:15,080 --> 00:08:17,600 Speaker 4: Athletes ultimately, you know, they deserve to get paid. 166 00:08:17,600 --> 00:08:19,920 Speaker 2: And it just comes down to like, you know, it's 167 00:08:19,960 --> 00:08:22,960 Speaker 2: a new world, but I think it's it's it's not 168 00:08:22,960 --> 00:08:24,280 Speaker 2: going to be changing anytime soon. 169 00:08:24,320 --> 00:08:26,480 Speaker 1: You got to go, what's your single best buy this morning? 170 00:08:28,040 --> 00:08:31,840 Speaker 4: Oh, single best buy to me right here is Microsoft. Microsoft. 171 00:08:32,320 --> 00:08:38,000 Speaker 2: The way that that stocks trading, it's it's almost the 172 00:08:38,200 --> 00:08:41,240 Speaker 2: most disconnected tech stock that I've seen, probably in the 173 00:08:41,320 --> 00:08:42,200 Speaker 2: last two years. 174 00:08:42,520 --> 00:08:46,200 Speaker 1: Dennis, thank you so much. Tropper from Scott Still this morning,