1 00:00:02,520 --> 00:00:08,840 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. Here to briefast this 2 00:00:08,880 --> 00:00:12,320 Speaker 1: morning with a new Pittsburgh Pirates cap is Dan Ives 3 00:00:12,360 --> 00:00:14,200 Speaker 1: for those of you on radio, You're lucky. 4 00:00:14,640 --> 00:00:15,960 Speaker 2: What's the p on your hat? 5 00:00:16,040 --> 00:00:19,440 Speaker 3: It's Arnold Palmer hat from Arna Palmer torn him big, 6 00:00:19,480 --> 00:00:20,560 Speaker 3: big Arma Palmer fan. 7 00:00:20,680 --> 00:00:22,720 Speaker 1: Let's get this out of the way. You signed as 8 00:00:22,760 --> 00:00:26,800 Speaker 1: a chairman of a crypto thing this week. Explain what 9 00:00:26,840 --> 00:00:28,240 Speaker 1: the game is you're doing there? 10 00:00:28,400 --> 00:00:28,600 Speaker 2: Yep. 11 00:00:29,000 --> 00:00:31,640 Speaker 3: So you know we announce that I'm gonna be chairman 12 00:00:31,760 --> 00:00:35,520 Speaker 3: of ECO and AKO. You know is you know when 13 00:00:35,520 --> 00:00:38,400 Speaker 3: you think about Sam Altman in the build out of World, 14 00:00:39,000 --> 00:00:42,440 Speaker 3: what Dave essentially done is it's really gonna be the 15 00:00:42,560 --> 00:00:48,000 Speaker 3: infrastructure authentication for AI in the future. And you know, 16 00:00:48,080 --> 00:00:50,199 Speaker 3: I was a huge believer in this. You know, I'm 17 00:00:50,200 --> 00:00:52,000 Speaker 3: not taking this on just for any crypto. 18 00:00:52,479 --> 00:00:56,880 Speaker 1: Is that equity in this a bias? Is a rasearch channelist? 19 00:00:57,120 --> 00:00:58,400 Speaker 1: This is a sidecard deal. 20 00:00:58,640 --> 00:01:02,000 Speaker 3: Yeah, this is This is a total separate initiative, uh, 21 00:01:02,120 --> 00:01:05,000 Speaker 3: you know, total separate from my web bush. But but 22 00:01:05,360 --> 00:01:09,280 Speaker 3: Tom factors really into my view of the AI revolution. 23 00:01:09,440 --> 00:01:11,160 Speaker 3: I'm doing this because I think this is gonna be 24 00:01:11,160 --> 00:01:14,520 Speaker 3: the factor standard for really you're going. 25 00:01:14,440 --> 00:01:16,440 Speaker 2: To take a minority interest in perplexity. 26 00:01:16,440 --> 00:01:20,319 Speaker 3: If they called you, we need as long as it 27 00:01:20,400 --> 00:01:21,600 Speaker 3: comes through Keen. 28 00:01:24,760 --> 00:01:27,720 Speaker 4: Earlier this week was a corrugated packaging company. 29 00:01:28,240 --> 00:01:32,200 Speaker 3: It basically is a treasury vehicle for world Coin in 30 00:01:32,280 --> 00:01:34,679 Speaker 3: terms of what we've done, and that's why I think, 31 00:01:34,680 --> 00:01:37,080 Speaker 3: you know, receptions obviously been great. You know we raised 32 00:01:37,080 --> 00:01:41,240 Speaker 3: capital and cuz that this morning, Okay, it was super 33 00:01:41,240 --> 00:01:44,399 Speaker 3: exciting to just put another you want to. 34 00:01:44,319 --> 00:01:47,880 Speaker 4: Talk, which is a workin It's a means of authentication. 35 00:01:48,040 --> 00:01:50,520 Speaker 4: You have your iris scan to know that you're the 36 00:01:50,680 --> 00:01:51,560 Speaker 4: person that you say you are. 37 00:01:51,720 --> 00:01:57,120 Speaker 2: Glad you know, Well, okay, that's enough the orb for community. 38 00:01:57,320 --> 00:02:00,760 Speaker 2: Next time, What did mag five learned from the Oracle 39 00:02:00,920 --> 00:02:01,920 Speaker 2: pop last night? 40 00:02:02,600 --> 00:02:05,840 Speaker 3: This AI party, it's ten pm going to four am. 41 00:02:05,960 --> 00:02:09,280 Speaker 3: I mean, the point is the infrastructure was that's gonna 42 00:02:09,280 --> 00:02:11,560 Speaker 3: be a historic quarter when you look at orcle and 43 00:02:11,720 --> 00:02:14,799 Speaker 3: it shows the type of cap backs we're seeing and 44 00:02:14,880 --> 00:02:18,600 Speaker 3: the use cases are exploding. We've talked about so much here. 45 00:02:18,520 --> 00:02:20,960 Speaker 2: In the Change My Life. I mean, as simple as 46 00:02:21,000 --> 00:02:21,760 Speaker 2: that look. 47 00:02:21,880 --> 00:02:26,680 Speaker 3: And the reality is anyone that thinks hype not real, right, 48 00:02:26,840 --> 00:02:30,280 Speaker 3: that oracle number is a validation. That's a drop the 49 00:02:30,480 --> 00:02:34,680 Speaker 3: mic from Saffra and Ellison. That shows to me, Okay, 50 00:02:35,080 --> 00:02:37,280 Speaker 3: what's gonna happen? The rest attack and it's abrahma. 51 00:02:37,400 --> 00:02:40,000 Speaker 1: Did we have a drop the moment with mister Cook yesterday? 52 00:02:40,040 --> 00:02:42,760 Speaker 1: I tuned in for twelve seconds. It's so manipulated. I 53 00:02:42,880 --> 00:02:45,240 Speaker 1: can't watch it. You and had Ludlow saw it. Were 54 00:02:45,320 --> 00:02:46,720 Speaker 1: your thumbs up, like Gene Munster. 55 00:02:47,240 --> 00:02:50,840 Speaker 3: Look, it's a thumbs up relative to I think expectations. 56 00:02:50,919 --> 00:02:53,320 Speaker 3: Our view here is that the elf in the room 57 00:02:53,360 --> 00:02:55,200 Speaker 3: continues to be as we talk about AI. But I 58 00:02:55,320 --> 00:02:58,480 Speaker 3: do believe with the DOJ Google situation, now you know 59 00:02:58,560 --> 00:03:01,160 Speaker 3: in the rearview mirror they will down. Then that's going 60 00:03:01,240 --> 00:03:04,480 Speaker 3: to be ultimately their AI partnership. But in terms of 61 00:03:04,520 --> 00:03:07,560 Speaker 3: the actual iPhone, look, three hundred million plus have an 62 00:03:07,639 --> 00:03:09,720 Speaker 3: upgrade four plus years. The point is this is going 63 00:03:09,760 --> 00:03:13,560 Speaker 3: to be includes John Tucker, including Talker. So if you 64 00:03:13,680 --> 00:03:15,880 Speaker 3: think about on a scale one to ten from an 65 00:03:15,960 --> 00:03:19,160 Speaker 3: upgrade cycle supercycle being a ten, it's probably gonna be 66 00:03:19,160 --> 00:03:21,239 Speaker 3: about an eight point five. But what I tell you 67 00:03:21,360 --> 00:03:24,480 Speaker 3: is the street right now numbers are conservative New York 68 00:03:24,520 --> 00:03:27,720 Speaker 3: City cab driver or uber is still barish on Apple, 69 00:03:28,080 --> 00:03:30,679 Speaker 3: and I think that to me sets it up well 70 00:03:31,160 --> 00:03:33,680 Speaker 3: as well as you add AI and they actually make 71 00:03:33,760 --> 00:03:36,120 Speaker 3: a big move there. You tell about another you know, 72 00:03:36,120 --> 00:03:37,800 Speaker 3: one hundred dollars per share to the stock. 73 00:03:37,920 --> 00:03:40,000 Speaker 4: What does Apple have to do when it comes to AI? 74 00:03:40,120 --> 00:03:42,320 Speaker 4: So I look at Meta for instance, and they pay 75 00:03:42,320 --> 00:03:43,680 Speaker 4: a lot of money. They're hiring a lot of big 76 00:03:43,760 --> 00:03:44,920 Speaker 4: name people. And I think if you look at the 77 00:03:45,000 --> 00:03:47,080 Speaker 4: history of Apple that had a bad luck of bringing 78 00:03:47,120 --> 00:03:51,280 Speaker 4: in outside talent, particularly the executive level, to mix things 79 00:03:51,360 --> 00:03:53,360 Speaker 4: up and to change things around. Are they able to 80 00:03:53,400 --> 00:03:54,680 Speaker 4: do that? What do they have to do to kind 81 00:03:54,680 --> 00:03:57,480 Speaker 4: of re establish themselves here at the vanguard of AI. 82 00:03:57,800 --> 00:04:00,000 Speaker 3: There's a better chance of me playing in Beth paid 83 00:04:00,200 --> 00:04:04,440 Speaker 3: Ryder Cup in September. Then then then AI innovation happening 84 00:04:04,520 --> 00:04:06,720 Speaker 3: from Apple, and I think that's the issue that they 85 00:04:06,800 --> 00:04:07,840 Speaker 3: got to go outside. 86 00:04:08,320 --> 00:04:10,080 Speaker 4: It has to be good to make that work. 87 00:04:10,240 --> 00:04:13,280 Speaker 1: Dan I's with Red Bush with us this morning, David Gerrin, 88 00:04:13,320 --> 00:04:15,920 Speaker 1: Tim Can Good Morning across the Nation and the way 89 00:04:16,000 --> 00:04:18,040 Speaker 1: you listen to us on radio Good Morning ninety to 90 00:04:18,200 --> 00:04:21,920 Speaker 1: nine FM in Boston, on YouTube and your home at 91 00:04:21,960 --> 00:04:24,920 Speaker 1: your office floored by the sign up Thank you so much, 92 00:04:25,560 --> 00:04:29,880 Speaker 1: Bloomberg Podcast, go out to YouTube and subscribe it Bloomberg Podcasts. 93 00:04:30,360 --> 00:04:32,880 Speaker 1: Thank you for your attention to our new dan Ives 94 00:04:33,040 --> 00:04:35,840 Speaker 1: like digital. Maybe I should start wearing bright pink. 95 00:04:35,920 --> 00:04:37,480 Speaker 2: What do you think, David, I could see that. Why 96 00:04:37,520 --> 00:04:38,520 Speaker 2: don't you continue with. 97 00:04:39,040 --> 00:04:43,360 Speaker 3: Mister, I've talked about the pink bowtie for I know what. 98 00:04:43,520 --> 00:04:45,240 Speaker 4: The hoodie beneath the jacket would be a good look 99 00:04:45,240 --> 00:04:45,400 Speaker 4: for you. 100 00:04:45,520 --> 00:04:48,480 Speaker 3: I think I thought dan Ives clothing we could add 101 00:04:48,680 --> 00:04:51,000 Speaker 3: potentially a bow tie and it would be called a. 102 00:04:51,920 --> 00:04:54,200 Speaker 2: Everything is like two X, you know, it's like for 103 00:04:54,360 --> 00:04:57,040 Speaker 2: little people. What's the name of the company. 104 00:04:57,240 --> 00:04:58,200 Speaker 3: It's snow milk. 105 00:04:58,279 --> 00:05:00,600 Speaker 2: My carse snow milk. They got to make like adult 106 00:05:00,720 --> 00:05:02,520 Speaker 2: sizes like we have six. 107 00:05:03,200 --> 00:05:04,840 Speaker 3: I think we go down the route with a keen 108 00:05:04,920 --> 00:05:08,080 Speaker 3: bow tie. I have been I'm actually average a very. 109 00:05:08,040 --> 00:05:09,080 Speaker 2: Good David jump in. 110 00:05:09,240 --> 00:05:11,320 Speaker 4: Can I go back to Oracle? I diverted over to 111 00:05:11,400 --> 00:05:13,839 Speaker 4: to appled love to go back to Oracle? What should 112 00:05:13,839 --> 00:05:15,200 Speaker 4: we make How quickly they were able to make this, 113 00:05:15,400 --> 00:05:16,960 Speaker 4: this pivot, What does it say about sort of the 114 00:05:17,200 --> 00:05:21,320 Speaker 4: future direction of Oracle moving into cloud computing as rapidly 115 00:05:21,320 --> 00:05:23,080 Speaker 4: as it did, as successfully as it did. Certainly, when 116 00:05:23,080 --> 00:05:23,920 Speaker 4: you look at the numbers. 117 00:05:24,120 --> 00:05:26,440 Speaker 3: Guess who's watching quot so you see what they did. 118 00:05:26,680 --> 00:05:30,760 Speaker 3: It's Bennioff, it's Adobee, it's software where right now they're 119 00:05:30,800 --> 00:05:32,720 Speaker 3: not the cool kids table. I mean what Oracle has 120 00:05:32,760 --> 00:05:36,280 Speaker 3: been able to do because of the stack, right it's 121 00:05:36,480 --> 00:05:40,080 Speaker 3: it's been transformational. And I think that more is where 122 00:05:40,120 --> 00:05:43,120 Speaker 3: we're seeing. Everyone wants that. That two to three trillion 123 00:05:43,200 --> 00:05:45,200 Speaker 3: of cat backs, everyone wants it. 124 00:05:45,520 --> 00:05:48,880 Speaker 1: Doug Cass emails in Okay, he's beside himself about the 125 00:05:48,960 --> 00:05:49,760 Speaker 1: Yankees defense. 126 00:05:49,960 --> 00:05:51,760 Speaker 2: They're averaging like three years a game. 127 00:05:51,920 --> 00:05:54,880 Speaker 1: I mean, it's sad. Aaron Judge should be at first base, 128 00:05:55,240 --> 00:05:58,440 Speaker 1: Dan ives. Doug Cass has a question for you, the 129 00:05:58,680 --> 00:06:02,920 Speaker 1: backlog dynamic versus the accounting on the statements. 130 00:06:03,400 --> 00:06:04,719 Speaker 2: Is this an accounting issue to. 131 00:06:04,760 --> 00:06:08,200 Speaker 1: Come not only for Oracle but for other mag seven 132 00:06:08,920 --> 00:06:12,600 Speaker 1: and that there's so much future business that needs to 133 00:06:12,839 --> 00:06:14,760 Speaker 1: adjust in the accounting statement. 134 00:06:14,920 --> 00:06:15,600 Speaker 2: Is that a risk? 135 00:06:16,200 --> 00:06:18,960 Speaker 3: And I hope Doug's doing well. It's a good question. 136 00:06:19,480 --> 00:06:22,440 Speaker 3: I think there's definitely some normalization that's going to have 137 00:06:22,520 --> 00:06:24,560 Speaker 3: to happen there over the coming quarters. So you got 138 00:06:24,640 --> 00:06:27,920 Speaker 3: to normalize it, you know, from a backlock perspective in 139 00:06:28,080 --> 00:06:31,200 Speaker 3: terms of arr look, I think the reality is is 140 00:06:31,279 --> 00:06:34,720 Speaker 3: that over the coming quarters. That's where like look for Oracle, 141 00:06:34,800 --> 00:06:36,480 Speaker 3: if you got if you're the amount of stock that 142 00:06:36,520 --> 00:06:38,640 Speaker 3: could go to three fifty four hundred. You got to 143 00:06:38,720 --> 00:06:42,679 Speaker 3: continue to show this because you as the normalization starts 144 00:06:42,720 --> 00:06:45,839 Speaker 3: to happen, the comps ultimately start take place. You need 145 00:06:45,960 --> 00:06:47,119 Speaker 3: to continue to see that growth. 146 00:06:47,800 --> 00:06:51,840 Speaker 2: You mentioned Google and Gemini. What are they waiting for? 147 00:06:52,520 --> 00:06:55,240 Speaker 3: They were waiting they were waiting for DOJ mean that? 148 00:06:55,880 --> 00:06:58,920 Speaker 3: And now the candlelight dinner could happen between the soon 149 00:06:59,040 --> 00:07:03,080 Speaker 3: Dar and Cook And I believe that is Look because 150 00:07:03,160 --> 00:07:05,560 Speaker 3: I truly and we've talked about if did doo J 151 00:07:05,880 --> 00:07:08,920 Speaker 3: went negative toward an Apple Google, then they have no 152 00:07:09,120 --> 00:07:11,520 Speaker 3: choice called proplexity on the red phone and they have 153 00:07:11,600 --> 00:07:14,840 Speaker 3: to do that deal. But now I think they double 154 00:07:14,920 --> 00:07:16,360 Speaker 3: down the job they're waiting for. 155 00:07:16,520 --> 00:07:18,400 Speaker 2: Is it literally like just Egos, they have to wait 156 00:07:18,440 --> 00:07:19,160 Speaker 2: a little bit of time. 157 00:07:19,200 --> 00:07:20,920 Speaker 3: I think you wait a little time. Look, and we 158 00:07:21,040 --> 00:07:24,400 Speaker 3: also know like in Cooper Tino, there is a part 159 00:07:24,440 --> 00:07:26,880 Speaker 3: of it that runs like a motor vehicle in New Jersey, 160 00:07:26,960 --> 00:07:29,520 Speaker 3: and that's been some of the issue in terms of 161 00:07:29,560 --> 00:07:32,240 Speaker 3: some of the bureaucracy that they're trying to get rid 162 00:07:32,240 --> 00:07:33,440 Speaker 3: of in terms of the red tape. 163 00:07:34,200 --> 00:07:37,160 Speaker 4: Going back to the Oracle numbers, So say Sundor is 164 00:07:37,480 --> 00:07:41,400 Speaker 4: tuning in to watch Romain and number yesterday, care or 165 00:07:41,480 --> 00:07:44,600 Speaker 4: Andy stealing it up in that Seattle? What do they 166 00:07:44,680 --> 00:07:46,400 Speaker 4: make of those Oracle numbers? How much are they worried 167 00:07:46,400 --> 00:07:47,720 Speaker 4: about the progress of the Oracles made here? 168 00:07:47,720 --> 00:07:50,400 Speaker 3: And how did they I think they actually love seeing 169 00:07:50,560 --> 00:07:52,960 Speaker 3: those numbers because they view it. And that's why I 170 00:07:53,120 --> 00:07:55,600 Speaker 3: like what you see with Google's jesz B. It's it's 171 00:07:55,640 --> 00:07:58,960 Speaker 3: a barometer that shows where that's coming. That's why Nadella, 172 00:07:59,400 --> 00:08:03,320 Speaker 3: he's sitting there with the Mimosa right now watching those numbers. 173 00:08:03,520 --> 00:08:05,720 Speaker 1: I mean, do you want to mention Oracles put their 174 00:08:05,760 --> 00:08:08,600 Speaker 1: support by in Bloomberg surveillance. We thank Oracle for their 175 00:08:08,640 --> 00:08:11,480 Speaker 1: support each and every day. What's your single best buy? 176 00:08:12,200 --> 00:08:14,400 Speaker 3: I mean, to me, single best buy here continues to 177 00:08:14,480 --> 00:08:17,880 Speaker 3: be Microsoft just because of my view of because of 178 00:08:18,120 --> 00:08:22,720 Speaker 3: where the hyperscalers are. It's in their backyard. Stock actually 179 00:08:22,720 --> 00:08:25,040 Speaker 3: sold off a little postcord and I think that's one 180 00:08:25,320 --> 00:08:28,240 Speaker 3: they will ultimately join in video what's eventually. 181 00:08:27,880 --> 00:08:30,880 Speaker 2: Gonna be there? Twent this year and you say way more. 182 00:08:31,120 --> 00:08:33,880 Speaker 3: Just to we've talked about it's just to begin. We 183 00:08:33,960 --> 00:08:37,319 Speaker 3: are in the second inning of the Ai Revolution, going 184 00:08:37,400 --> 00:08:40,079 Speaker 3: ninth and we've talked about the party start at nine pm, 185 00:08:40,240 --> 00:08:42,559 Speaker 3: is now ten pm goes to four am on the 186 00:08:42,679 --> 00:08:45,960 Speaker 3: dance for is Nedella Jensen, Pound Teer Carp and others. 187 00:08:47,120 --> 00:08:49,880 Speaker 1: People think guy says a romantic life. Let's make it clear. 188 00:08:50,200 --> 00:08:52,079 Speaker 1: You just got off the romantic red eye. 189 00:08:52,200 --> 00:08:54,680 Speaker 3: I just got off the romainer Carol and Tim. Right, Yeah, 190 00:08:54,679 --> 00:08:57,439 Speaker 3: I was there rocking today and actually I went. I 191 00:08:57,520 --> 00:09:02,439 Speaker 3: went from Australia to Huntington Beach to now here with 192 00:09:02,600 --> 00:09:03,040 Speaker 3: you guys. 193 00:09:03,160 --> 00:09:06,640 Speaker 4: Appreciate that lay flat beds as you were talking about yesterday. 194 00:09:06,800 --> 00:09:09,920 Speaker 2: But he's a little guy. It's like it's a little guy. No, No, 195 00:09:10,080 --> 00:09:13,240 Speaker 2: the lafe flat bed works. There's no light flat bed 196 00:09:13,400 --> 00:09:14,080 Speaker 2: for me. Yeah. 197 00:09:14,080 --> 00:09:15,719 Speaker 3: But the problem is that's why you're the one that 198 00:09:15,880 --> 00:09:18,760 Speaker 3: does like the special cabin in emerates so the player, 199 00:09:20,000 --> 00:09:25,760 Speaker 3: but the keen cabin and the whole king shower in this. 200 00:09:26,120 --> 00:09:29,920 Speaker 2: Disclosure law premiere in France. But it's great. 201 00:09:30,040 --> 00:09:32,680 Speaker 3: It's like a huge cabin, of course, but you set 202 00:09:32,720 --> 00:09:33,520 Speaker 3: a higher standard. 203 00:09:33,800 --> 00:09:36,360 Speaker 2: It does. I don't know, I don't know. Some tennis 204 00:09:36,400 --> 00:09:37,640 Speaker 2: player was sitting next to me. 205 00:09:37,760 --> 00:09:40,520 Speaker 3: It's actually it's actually Keyn's where we all pay rent. 206 00:09:43,240 --> 00:09:46,920 Speaker 1: Dan, thank you for explaining whatever your new business transaction is. 207 00:09:47,200 --> 00:09:48,120 Speaker 1: I still don't get. 208 00:09:49,240 --> 00:09:51,840 Speaker 3: ORBS coming to you soon, and I'll bring it next time. Okay, 209 00:09:53,840 --> 00:09:56,840 Speaker 3: that's really small. We'll bring the orban next time. Will 210 00:09:56,880 --> 00:09:57,439 Speaker 3: get skinned? 211 00:09:57,559 --> 00:09:59,960 Speaker 4: John skeptical keep those eyes closed. 212 00:10:00,400 --> 00:10:04,360 Speaker 3: Uh, we're bringing in for him too, Dan, thank you 213 00:10:04,440 --> 00:10:04,719 Speaker 3: so much. 214 00:10:04,720 --> 00:10:07,600 Speaker 2: I gotta sell the show. Dan Hight's Wedbush Securities