1 00:00:01,520 --> 00:00:05,200 Speaker 1: From Mahard where Innovation of Money and Power Collie in 2 00:00:05,320 --> 00:00:06,800 Speaker 1: Silicon Valley, NBN. 3 00:00:07,160 --> 00:00:11,160 Speaker 2: This is Bloomberg Technology with Caroline Hyde and Ed Ludlow. 4 00:00:24,600 --> 00:00:26,960 Speaker 3: I'm Caroine Heidel, Bloomberg's world headquarters in New York, and 5 00:00:27,000 --> 00:00:27,960 Speaker 3: Ludlow He's off. 6 00:00:28,240 --> 00:00:29,440 Speaker 4: This is Bloomberg Technology. 7 00:00:29,600 --> 00:00:32,600 Speaker 3: Coming up, will bring you the full recap from Apple's 8 00:00:32,640 --> 00:00:36,360 Speaker 3: annual Developers Conference as shares rise to a record following 9 00:00:36,400 --> 00:00:37,200 Speaker 3: the company's event. 10 00:00:37,800 --> 00:00:40,000 Speaker 4: Plus will break down comments from Elon Muskers. 11 00:00:40,040 --> 00:00:42,800 Speaker 3: He says he would ban Apple devices from his companies 12 00:00:43,120 --> 00:00:47,000 Speaker 3: if open ai is integrated into the operating system and 13 00:00:47,200 --> 00:00:51,519 Speaker 3: troubled French IT firm atos it picks a winner for 14 00:00:51,600 --> 00:00:54,520 Speaker 3: its bailout. We'll discuss that and the state of French 15 00:00:54,600 --> 00:00:57,600 Speaker 3: tech and so much more throughout this hour. First, let's 16 00:00:57,640 --> 00:00:59,720 Speaker 3: check in on the French markets. Let's check in on 17 00:00:59,800 --> 00:01:02,200 Speaker 3: the macro perspective. More broadly, look a little bit of 18 00:01:02,240 --> 00:01:05,080 Speaker 3: anxiety as we run towards the federal reserve that CPI print, 19 00:01:05,240 --> 00:01:07,759 Speaker 3: but more broadly managing to see tech once again on top. 20 00:01:07,800 --> 00:01:09,479 Speaker 4: Thanks to Apple. Of course, We're up. 21 00:01:09,360 --> 00:01:11,440 Speaker 3: Two tenser percent on the NASDAK the cap forty, though 22 00:01:11,440 --> 00:01:14,600 Speaker 3: having a woe full time in France, political risk, some anxiety, 23 00:01:14,720 --> 00:01:18,720 Speaker 3: some rumors swirling that perhaps even Macron could step down 24 00:01:18,720 --> 00:01:21,400 Speaker 3: if indeed that legislative vote that he has just called 25 00:01:21,680 --> 00:01:24,880 Speaker 3: doesn't go his way, but that has been suppressed and 26 00:01:24,920 --> 00:01:26,479 Speaker 3: denied by people close to him. But it was still 27 00:01:26,520 --> 00:01:27,960 Speaker 3: off by one and a quarter percent in France. We 28 00:01:28,080 --> 00:01:30,959 Speaker 3: go to some interesting fundraising and news coming from France. 29 00:01:31,000 --> 00:01:33,360 Speaker 3: A little bit later in the show, Crypto is under pressure, 30 00:01:33,360 --> 00:01:36,360 Speaker 3: off by almost four percent. Interesting correlations. Basically, when bonds 31 00:01:36,360 --> 00:01:39,520 Speaker 3: sell off, so does bitcoin, and bonds are selling off today, 32 00:01:39,600 --> 00:01:41,800 Speaker 3: Crypto off by some four percent. As we head towards 33 00:01:41,840 --> 00:01:43,679 Speaker 3: those macro events, move on and have a look at 34 00:01:43,720 --> 00:01:46,679 Speaker 3: what's happening on individual movers, and I'm only singling out one. 35 00:01:46,880 --> 00:01:50,080 Speaker 3: I'm looking at Apple rising to yet a new record high. 36 00:01:50,080 --> 00:01:52,760 Speaker 3: We're now up more than five percent. I thought yesterday 37 00:01:52,800 --> 00:01:55,640 Speaker 3: we were a little bit like un or inspired by 38 00:01:55,640 --> 00:02:00,080 Speaker 3: some of the announcements coming from WWDC, but seemingly we 39 00:02:00,120 --> 00:02:00,920 Speaker 3: are now thinking this. 40 00:02:00,960 --> 00:02:03,400 Speaker 4: Will drive the purchases of new phones. 41 00:02:03,160 --> 00:02:05,760 Speaker 3: That stick with IT shares as we hit this record. 42 00:02:05,960 --> 00:02:08,640 Speaker 3: We want to delve into the AI announcements, some of 43 00:02:08,680 --> 00:02:11,320 Speaker 3: it mixed, but one tech Titan has a pretty hot take, 44 00:02:11,600 --> 00:02:14,320 Speaker 3: you know, Musk saying he'd ban Apple devices from his 45 00:02:14,400 --> 00:02:18,400 Speaker 3: companies if open AI's artificial intelligence software is integrated as 46 00:02:18,400 --> 00:02:21,760 Speaker 3: the operating system level, calling the tie up security risk. 47 00:02:22,040 --> 00:02:23,280 Speaker 4: We want to get into the announcements. 48 00:02:23,280 --> 00:02:26,240 Speaker 3: We want to get into Elon Musk's take, Bloomberg, Mark 49 00:02:26,240 --> 00:02:28,679 Speaker 3: German here with the AI breakdown. Kert Wagner, of course, 50 00:02:28,720 --> 00:02:31,000 Speaker 3: an author on all things Elon and Mark. 51 00:02:31,040 --> 00:02:34,600 Speaker 4: I want to start with you because surmise the market reaction. 52 00:02:35,160 --> 00:02:37,720 Speaker 3: You thought perhaps some of it was a bit lackluster, 53 00:02:37,800 --> 00:02:39,680 Speaker 3: but the market seems be liking the fact that we. 54 00:02:39,639 --> 00:02:41,160 Speaker 4: Might buy some new iPhones on this. 55 00:02:41,600 --> 00:02:44,280 Speaker 5: I definitely don't think this is going to drive iphon 56 00:02:44,400 --> 00:02:48,040 Speaker 5: sixteen sales this fall in any significant way. I do 57 00:02:48,120 --> 00:02:50,799 Speaker 5: think that over time, this is going to seriously drive 58 00:02:50,880 --> 00:02:53,560 Speaker 5: sales of follow up iterations of the iPhone, maybe the 59 00:02:53,600 --> 00:02:55,280 Speaker 5: one after maybe the one after that, maybe the one 60 00:02:55,280 --> 00:02:56,120 Speaker 5: after that, and. 61 00:02:56,120 --> 00:02:58,560 Speaker 6: Well into the future. I do believe it's going to 62 00:02:58,680 --> 00:03:00,960 Speaker 6: enable a set of new generation of. 63 00:03:00,919 --> 00:03:05,799 Speaker 5: Apple devices, things like arglasses, home robots, enhanced air pods 64 00:03:05,880 --> 00:03:08,919 Speaker 5: with AI, and cameras. So this really sets the stage 65 00:03:08,960 --> 00:03:11,840 Speaker 5: for Apple's future. Now, the most important part here is 66 00:03:11,880 --> 00:03:14,200 Speaker 5: Apple no longer has to worry about the risk of 67 00:03:14,200 --> 00:03:17,639 Speaker 5: people switching away from the Apple ecosystem seeking a more 68 00:03:17,680 --> 00:03:22,440 Speaker 5: aiified phone. Apple now has the same functionality that Samsung has, 69 00:03:22,680 --> 00:03:25,000 Speaker 5: that Google has, that other players have in terms of 70 00:03:25,000 --> 00:03:28,799 Speaker 5: deep AI integration into its devices. So I think from 71 00:03:28,800 --> 00:03:31,480 Speaker 5: that standpoint, it's a positive and that's making the street 72 00:03:31,760 --> 00:03:34,560 Speaker 5: quite happy. I think they're digesting. There was a lot 73 00:03:34,560 --> 00:03:37,240 Speaker 5: of stuff on Monday at the Worldwide Developers Conference. I 74 00:03:37,240 --> 00:03:39,720 Speaker 5: think they've been going through what the Apple announcements were 75 00:03:39,960 --> 00:03:43,080 Speaker 5: and they see how comprehensive the set of tools that 76 00:03:43,120 --> 00:03:47,280 Speaker 5: Apple's offering here with a quintessential Apple spin with its 77 00:03:47,280 --> 00:03:50,160 Speaker 5: privacy standpoint and very deep integration. 78 00:03:51,040 --> 00:03:55,080 Speaker 3: Let's talk about privacy and integration KAT, because privacy has 79 00:03:55,120 --> 00:03:58,160 Speaker 3: been called into question by one Elon Musk because of 80 00:03:58,200 --> 00:04:02,000 Speaker 3: the integration with chat ChiPT and can you just keep 81 00:04:02,080 --> 00:04:04,440 Speaker 3: us up to speed with what Elon Musk is accusing here? 82 00:04:04,960 --> 00:04:07,920 Speaker 7: Yeah, Well, Elon is basically saying that if chat GPT 83 00:04:08,160 --> 00:04:11,040 Speaker 7: is infused at the operating system level of these phones, 84 00:04:11,120 --> 00:04:13,360 Speaker 7: that you know, it would have access to all of 85 00:04:13,400 --> 00:04:15,320 Speaker 7: the data on the phone, which would go to Apple 86 00:04:15,360 --> 00:04:17,760 Speaker 7: and then go to Open AI. What you have to remember, 87 00:04:17,800 --> 00:04:21,280 Speaker 7: of course, is that Elon has a lot of incentive 88 00:04:21,400 --> 00:04:25,240 Speaker 7: to you know, seed this idea that this is an 89 00:04:25,360 --> 00:04:29,920 Speaker 7: unsafe in a privacy issue because he is building a 90 00:04:30,000 --> 00:04:34,480 Speaker 7: direct competitor to chat GPT with his you know, Xai 91 00:04:34,600 --> 00:04:37,800 Speaker 7: business that's building grock its own chat pots. So I 92 00:04:37,839 --> 00:04:39,360 Speaker 7: do think that this is the kind of thing that 93 00:04:39,400 --> 00:04:42,560 Speaker 7: he is you know, incentivized to do, to to kind 94 00:04:42,560 --> 00:04:45,760 Speaker 7: of pour cold water on this partnership, to you know, 95 00:04:45,800 --> 00:04:48,800 Speaker 7: make people question or doubt whether or not this is 96 00:04:48,880 --> 00:04:52,200 Speaker 7: done above board, because he stands the benefit here with 97 00:04:52,320 --> 00:04:55,320 Speaker 7: his own business and his own companies building a rival product. 98 00:04:55,640 --> 00:04:57,880 Speaker 3: Well, Mark, apart from going to Tim Cook with this, 99 00:04:58,040 --> 00:04:59,760 Speaker 3: we go to you because I don't know anyone who 100 00:04:59,800 --> 00:05:01,640 Speaker 3: can out square us up on whether this is a 101 00:05:01,680 --> 00:05:04,279 Speaker 3: key privacy risk better than you could. Mark. What do 102 00:05:04,320 --> 00:05:06,320 Speaker 3: you make of some of the accusations and whether or 103 00:05:06,320 --> 00:05:09,480 Speaker 3: not this integration would open up any privacy concerns. 104 00:05:09,720 --> 00:05:11,960 Speaker 5: Well, first of all, I completely agree with Kurt right. 105 00:05:12,240 --> 00:05:14,839 Speaker 5: Elon Moss doesn't have the best of relationships with open 106 00:05:14,839 --> 00:05:17,200 Speaker 5: Ai and Tim Altman, for one, doesn't have the best 107 00:05:17,240 --> 00:05:18,880 Speaker 5: relationship with Apple and Tim Cook. 108 00:05:18,960 --> 00:05:21,880 Speaker 6: He's not a fan of their app store, policies. He's 109 00:05:21,920 --> 00:05:23,520 Speaker 6: building grock. 110 00:05:23,360 --> 00:05:26,440 Speaker 5: Right through his own XAI company, right it's integrated for 111 00:05:26,520 --> 00:05:29,400 Speaker 5: some users into the exapp right now, so he has 112 00:05:29,400 --> 00:05:31,479 Speaker 5: an incentive to sort of pour cold water and this 113 00:05:31,560 --> 00:05:34,720 Speaker 5: idea and raise skepticism. On the other hand, I do 114 00:05:34,800 --> 00:05:37,840 Speaker 5: believe there are some privacy questions here. I don't think 115 00:05:37,839 --> 00:05:41,000 Speaker 5: there's many questions about Apple's in house AI large language models. 116 00:05:41,040 --> 00:05:44,479 Speaker 6: I think they showed in great in great ways how. 117 00:05:44,320 --> 00:05:47,760 Speaker 5: Private they're on device AI is their own iCloud based 118 00:05:47,800 --> 00:05:51,000 Speaker 5: AI protection. But once you start working with a third party, 119 00:05:51,080 --> 00:05:54,240 Speaker 5: you're talking about servers that are powered by Microsoft Azure, 120 00:05:54,560 --> 00:05:58,440 Speaker 5: you're talking about technology that's powered by OpenAI. There isn't 121 00:05:58,600 --> 00:06:01,560 Speaker 5: a clearly explained way how Apple can verify the privacy 122 00:06:01,640 --> 00:06:04,840 Speaker 5: of your data that's input into chat GPT. In fact, 123 00:06:05,200 --> 00:06:07,840 Speaker 5: when you start moving from Apple's AI models on the 124 00:06:07,839 --> 00:06:10,480 Speaker 5: phone to the chat GPT models the phone, makes it 125 00:06:10,600 --> 00:06:12,960 Speaker 5: very clear that you're now in open AI territory. 126 00:06:13,200 --> 00:06:14,800 Speaker 6: Right, So, I think the biggest thing you're. 127 00:06:14,640 --> 00:06:17,040 Speaker 5: Doing right now is warning consumers that your data is 128 00:06:17,040 --> 00:06:18,839 Speaker 5: being input into a third party provider. 129 00:06:19,160 --> 00:06:22,320 Speaker 6: But they hadn't showed a way to verify the privacy. 130 00:06:21,839 --> 00:06:24,919 Speaker 5: Of that information However, Apple and OpenAI have said that 131 00:06:25,000 --> 00:06:27,280 Speaker 5: they are keeping that data that's input from the iPhone 132 00:06:27,360 --> 00:06:30,880 Speaker 5: especially private. They're not logging it, they're not creating data profiles. 133 00:06:31,160 --> 00:06:33,240 Speaker 5: But it is really the onus really is on open 134 00:06:33,240 --> 00:06:36,120 Speaker 5: Ai to verify that, and Apple to keep on top 135 00:06:36,160 --> 00:06:38,440 Speaker 5: of open Ai to make sure that they don't breach 136 00:06:38,480 --> 00:06:41,440 Speaker 5: any of those terms on the privacy side of that partnership, 137 00:06:41,600 --> 00:06:42,800 Speaker 5: which I honestly think they'll do. 138 00:06:43,720 --> 00:06:43,960 Speaker 1: Cut. 139 00:06:44,240 --> 00:06:47,880 Speaker 3: Maybe therefore there is some reason to the shouting that's 140 00:06:47,880 --> 00:06:48,960 Speaker 3: going on on social media. 141 00:06:49,000 --> 00:06:50,480 Speaker 4: Buy it on must but also cut. We're a bit 142 00:06:50,520 --> 00:06:53,040 Speaker 4: immune to it. We've had it on musks. 143 00:06:53,080 --> 00:06:57,159 Speaker 3: Throw some Bob comments via to Tim Cook in the past, 144 00:06:57,200 --> 00:06:59,200 Speaker 3: of course, about perhaps the way in which the app 145 00:06:59,200 --> 00:07:01,640 Speaker 3: store is run. Know that he's actually suing open Ai. 146 00:07:02,160 --> 00:07:04,000 Speaker 3: How likely do you think it is that he would 147 00:07:04,000 --> 00:07:06,640 Speaker 3: pad Apple iPhones across these six companies. 148 00:07:07,080 --> 00:07:09,880 Speaker 7: I mean, this is someone who, as we know Caroline 149 00:07:10,080 --> 00:07:13,320 Speaker 7: is not afraid of controversy and conflict and picking fights 150 00:07:13,360 --> 00:07:16,680 Speaker 7: with other very rich and powerful people, Tim Cook being one, 151 00:07:16,760 --> 00:07:19,320 Speaker 7: Sam Altman, Mark Zuckerberg, the list goes on and on. 152 00:07:19,400 --> 00:07:21,440 Speaker 7: So I do think it's the kind of thing that 153 00:07:21,680 --> 00:07:23,760 Speaker 7: you know he might do to try to prove a 154 00:07:23,800 --> 00:07:26,760 Speaker 7: point or to make a point. And you know, for him, 155 00:07:26,800 --> 00:07:29,960 Speaker 7: he's now even sort of hinting at, oh, maybe maybe 156 00:07:30,000 --> 00:07:33,320 Speaker 7: he would build his own phone someday, right, like maybe 157 00:07:33,320 --> 00:07:35,160 Speaker 7: he would partner with someone for a phone. I think 158 00:07:35,200 --> 00:07:37,800 Speaker 7: this is very Elon. It's on brand for him, right. 159 00:07:37,880 --> 00:07:40,760 Speaker 7: He sort of picks these fights. He does it very publicly. 160 00:07:40,840 --> 00:07:45,040 Speaker 7: He makes these grand claims or aspirations, and then you know, 161 00:07:45,040 --> 00:07:46,840 Speaker 7: when push comes to show, we'll see what he does. 162 00:07:46,880 --> 00:07:48,720 Speaker 7: But I don't think it's the kind of thing that 163 00:07:49,080 --> 00:07:51,360 Speaker 7: you know, for him, it's not a huge skin off 164 00:07:51,360 --> 00:07:53,480 Speaker 7: his back, right if it makes the point he's trying 165 00:07:53,480 --> 00:07:55,480 Speaker 7: to make. And I think, as Mark and I have 166 00:07:55,600 --> 00:07:58,280 Speaker 7: pointed out, that's the goal here, is to sort of 167 00:07:58,520 --> 00:08:01,320 Speaker 7: cast doubt on this whole partnership, to cast down on 168 00:08:01,360 --> 00:08:04,000 Speaker 7: these other companies that are considered rivals of his, and 169 00:08:04,040 --> 00:08:06,440 Speaker 7: to do so in a very public public way. 170 00:08:07,200 --> 00:08:10,160 Speaker 3: Well, he's got the public's attention for now, so too 171 00:08:10,280 --> 00:08:13,600 Speaker 3: does Apple. From WWDC, Mark German, great round, Loock Kirk 172 00:08:13,640 --> 00:08:18,440 Speaker 3: Wagner with all the insights on Elon's ink, we appreciate it. Meanwhile, 173 00:08:18,440 --> 00:08:20,120 Speaker 3: we've just got some breaking news. We'll keep you up 174 00:08:20,160 --> 00:08:23,800 Speaker 3: to date with what is currently happening. From a legal perspective, 175 00:08:23,880 --> 00:08:26,360 Speaker 3: Hunter Biden's jury tells the court that it hasn't eed 176 00:08:26,400 --> 00:08:29,960 Speaker 3: reached a verdict in the gun case regarding Hunter Biden. 177 00:08:30,000 --> 00:08:31,960 Speaker 3: We will bring you the updates as and when we 178 00:08:32,040 --> 00:08:34,720 Speaker 3: receive them. For now, though, we stick to our knitting, 179 00:08:34,760 --> 00:08:35,600 Speaker 3: which is technology. 180 00:08:35,640 --> 00:08:37,360 Speaker 4: On this show. Navilla popol is with US. 181 00:08:37,559 --> 00:08:40,360 Speaker 3: Senior research director with IDC to get her read on 182 00:08:40,400 --> 00:08:43,960 Speaker 3: yesterday's anounments at WWDC. And I think what the question 183 00:08:44,040 --> 00:08:46,880 Speaker 3: for me in many ways is why the market is 184 00:08:46,960 --> 00:08:49,840 Speaker 3: loving it so much when initially we thought there's no 185 00:08:49,920 --> 00:08:50,880 Speaker 3: wild factor here. 186 00:08:51,360 --> 00:08:54,520 Speaker 1: Hi, Calyne, thanks for having me. You know you're so 187 00:08:54,720 --> 00:08:57,319 Speaker 1: right because I've been like absorbing all this information as 188 00:08:57,360 --> 00:08:58,880 Speaker 1: I'm sure everyone else here. 189 00:08:59,280 --> 00:09:01,160 Speaker 6: I think it was really big, is you know? 190 00:09:01,280 --> 00:09:04,040 Speaker 1: Yesterday there might have been a lackluster response because, like 191 00:09:04,080 --> 00:09:07,120 Speaker 1: you said, there wasn't any brand new feature or use 192 00:09:07,200 --> 00:09:09,160 Speaker 1: case that we haven't seen yet right from the other 193 00:09:09,200 --> 00:09:11,959 Speaker 1: platforms or the other players in the market. But what 194 00:09:12,120 --> 00:09:14,320 Speaker 1: to me really stood I No, I think what's catching on. 195 00:09:14,760 --> 00:09:17,040 Speaker 1: You know, the wave here is this is a big, 196 00:09:17,280 --> 00:09:20,760 Speaker 1: big move. It's a bold, you know, step forward for Apple. 197 00:09:20,920 --> 00:09:23,480 Speaker 1: They Yes, sure they were you know, behind the curve 198 00:09:23,520 --> 00:09:25,160 Speaker 1: a little bit. But I think the way they've come 199 00:09:25,200 --> 00:09:28,079 Speaker 1: out right now, they've told you know, what Apple does best, right, 200 00:09:28,440 --> 00:09:32,360 Speaker 1: They've told a really compelling consumer story most consumers aren't 201 00:09:32,400 --> 00:09:34,800 Speaker 1: really aware about, you know, what's generated AI and what 202 00:09:34,840 --> 00:09:37,600 Speaker 1: it can do. What I think Apple did that, you know, 203 00:09:38,120 --> 00:09:39,920 Speaker 1: was his unius on their part is the way they 204 00:09:39,960 --> 00:09:44,000 Speaker 1: integrated it into the user experience, which is of course 205 00:09:44,040 --> 00:09:47,520 Speaker 1: central to Apple's you know history, and now it's always 206 00:09:47,520 --> 00:09:50,000 Speaker 1: been about the user experience, and it's about how bring 207 00:09:50,080 --> 00:09:53,880 Speaker 1: me an AI on device with everything that we do 208 00:09:53,960 --> 00:09:56,559 Speaker 1: right and everyday apps that we have without having to 209 00:09:56,720 --> 00:09:59,319 Speaker 1: go somewhere click on a different app or chatbot. It's 210 00:09:59,360 --> 00:10:02,680 Speaker 1: just everything integrated. And then of course there's strong message 211 00:10:02,720 --> 00:10:05,360 Speaker 1: on you know, if you do it with Apple Intelligence, 212 00:10:05,920 --> 00:10:07,560 Speaker 1: it's going to be private and secure. 213 00:10:07,760 --> 00:10:11,199 Speaker 3: But that privacy and security issue, do you think that 214 00:10:11,200 --> 00:10:12,959 Speaker 3: that's in any way You're going to be questioned by 215 00:10:12,960 --> 00:10:14,920 Speaker 3: what Musk is currently saying. Do you think it might 216 00:10:14,920 --> 00:10:17,199 Speaker 3: put off people going for the iPhone sixteen? 217 00:10:18,120 --> 00:10:21,400 Speaker 1: You know, you know, Elon Musk will be Elon Musk right, 218 00:10:21,520 --> 00:10:24,000 Speaker 1: like you just said in the earlier segment, there's definitely 219 00:10:24,080 --> 00:10:26,679 Speaker 1: going to be a lot of talk going that it's 220 00:10:26,679 --> 00:10:28,600 Speaker 1: going to be around this, but I think Apple's messaging 221 00:10:28,679 --> 00:10:31,640 Speaker 1: was clear right that if you using AI, the way 222 00:10:31,679 --> 00:10:34,240 Speaker 1: they have shown this and everything that they've shown yesterday 223 00:10:34,360 --> 00:10:37,240 Speaker 1: was it's going to give you a personalized, customized experience. 224 00:10:37,280 --> 00:10:40,600 Speaker 1: It's going to keep most of things on device. It's 225 00:10:40,600 --> 00:10:43,079 Speaker 1: only when you because that's where they're not using. I 226 00:10:43,080 --> 00:10:44,720 Speaker 1: think there's a lot of confusion, and I was like 227 00:10:44,760 --> 00:10:47,360 Speaker 1: looking into this myself earlier this morning. We have our 228 00:10:47,440 --> 00:10:50,720 Speaker 1: team on ground at Apple Park to verify, you know, 229 00:10:50,760 --> 00:10:53,160 Speaker 1: what is it the models that are being used in 230 00:10:53,200 --> 00:10:55,440 Speaker 1: all of Apple Intelligence and all the features that we 231 00:10:55,480 --> 00:10:58,120 Speaker 1: saw right, what are the different whether it's gen mojis, 232 00:10:58,120 --> 00:11:02,560 Speaker 1: whether it's the summarization, description, search, everything that's on device, 233 00:11:02,640 --> 00:11:06,320 Speaker 1: it's based on Apple's own AI models. It's only the chat, 234 00:11:06,400 --> 00:11:09,640 Speaker 1: GPT and open AI comes in when you're trying to 235 00:11:09,720 --> 00:11:12,000 Speaker 1: prompt Siri for a question that serie can't use the 236 00:11:12,040 --> 00:11:15,240 Speaker 1: information that's on your device to answer, or Apple's own 237 00:11:15,280 --> 00:11:18,080 Speaker 1: AI model, and that's the opt in feature which you're 238 00:11:18,120 --> 00:11:22,400 Speaker 1: gonna give you user or serie access or you know, 239 00:11:22,480 --> 00:11:25,000 Speaker 1: give your permission to access chat GBT. 240 00:11:25,320 --> 00:11:25,880 Speaker 4: So I think the. 241 00:11:25,840 --> 00:11:28,800 Speaker 1: Way they have messaged it is pretty clear that everything 242 00:11:28,840 --> 00:11:31,120 Speaker 1: that you do on the Apple device will be secure. 243 00:11:31,320 --> 00:11:34,079 Speaker 1: And even when Apple or the device can't use its 244 00:11:34,080 --> 00:11:36,679 Speaker 1: own you know, on device AI model, it's going to 245 00:11:36,800 --> 00:11:42,080 Speaker 1: use Apples Secure cloud uh to you know, personalized clouds 246 00:11:42,080 --> 00:11:46,120 Speaker 1: to to be able to run those more complicated AI models. 247 00:11:46,160 --> 00:11:47,760 Speaker 1: But Chat g I think. 248 00:11:47,600 --> 00:11:48,120 Speaker 4: It's it was. 249 00:11:48,200 --> 00:11:50,559 Speaker 1: It was very segmented in a different way that only 250 00:11:50,679 --> 00:11:52,800 Speaker 1: you know used during serie prompts NEVLA. 251 00:11:53,080 --> 00:11:55,480 Speaker 3: What's interesting is this is a global company with a 252 00:11:55,480 --> 00:11:57,760 Speaker 3: lot of focus on China, and I'm interested is to 253 00:11:57,840 --> 00:12:01,240 Speaker 3: longer term, you know that going to perhaps be more 254 00:12:01,320 --> 00:12:04,600 Speaker 3: agnostic about which large language model they use, adopt or 255 00:12:04,600 --> 00:12:05,640 Speaker 3: indeed build their own. 256 00:12:06,160 --> 00:12:08,600 Speaker 4: But can this go live in China? Will it stimulate 257 00:12:08,640 --> 00:12:09,439 Speaker 4: demand in China? 258 00:12:10,040 --> 00:12:11,720 Speaker 1: So the key you know, and again like we were 259 00:12:11,760 --> 00:12:14,080 Speaker 1: talking to our China team this morning, because Chat GBT 260 00:12:14,200 --> 00:12:17,160 Speaker 1: isn't available in China right now. With this iteration, you know, 261 00:12:17,240 --> 00:12:20,840 Speaker 1: it's not going to benefit the upgrade cycle in China 262 00:12:21,000 --> 00:12:24,160 Speaker 1: with the with the device this year. However, the fact 263 00:12:24,160 --> 00:12:26,760 Speaker 1: that Apple's in AI, the fact that Apple is doing 264 00:12:26,800 --> 00:12:30,079 Speaker 1: these things, it's going to benefit the consumer perception which 265 00:12:30,240 --> 00:12:32,600 Speaker 1: was taking you know, a negative turn, especially in China 266 00:12:32,640 --> 00:12:36,840 Speaker 1: because consumers are you know, placing AI as a driving 267 00:12:36,880 --> 00:12:40,000 Speaker 1: factor in their device is in terms of purchasing. So 268 00:12:40,440 --> 00:12:43,560 Speaker 1: I think this this year, the upgrade cycle will probably 269 00:12:43,600 --> 00:12:46,080 Speaker 1: be more impacted because as they said, it's going to 270 00:12:46,080 --> 00:12:48,200 Speaker 1: be available in the fall and only in supporting the 271 00:12:48,240 --> 00:12:52,079 Speaker 1: English language. So countries like US, UK or any consumers 272 00:12:52,120 --> 00:12:55,120 Speaker 1: that are primarily English driven, it's going to drive because 273 00:12:55,120 --> 00:12:57,200 Speaker 1: there's plenty of you know users out there with iPhone 274 00:12:57,240 --> 00:13:00,839 Speaker 1: eleven and iPhone twelve. Because the average first cycle we're 275 00:13:00,840 --> 00:13:03,080 Speaker 1: still looking at about three to four years, right, so there's 276 00:13:03,120 --> 00:13:05,600 Speaker 1: any of those users that will you know, want these 277 00:13:05,640 --> 00:13:07,760 Speaker 1: new devices, even if it's just English support. 278 00:13:08,360 --> 00:13:09,640 Speaker 6: I'm our English speaking. 279 00:13:09,360 --> 00:13:12,400 Speaker 4: User, Nobela keeping it global for us. We thank you 280 00:13:12,480 --> 00:13:12,880 Speaker 4: so much. 281 00:13:13,200 --> 00:13:25,760 Speaker 3: Nombilla Popel, thank you, Senior research director with IDC. French 282 00:13:25,800 --> 00:13:28,600 Speaker 3: AI startup misrab It's raised six hundred and forty four 283 00:13:28,600 --> 00:13:31,440 Speaker 3: million dollars in a new funding round that now values 284 00:13:31,480 --> 00:13:34,000 Speaker 3: the company at close to six billion euros. The round, 285 00:13:34,080 --> 00:13:36,280 Speaker 3: led by Bench Capital Firm and General Catalyst, give us 286 00:13:36,280 --> 00:13:39,160 Speaker 3: a company additional resources to take on bigger global players 287 00:13:39,200 --> 00:13:40,960 Speaker 3: such as of course open AI here in the US, 288 00:13:41,120 --> 00:13:44,439 Speaker 3: mister Roll is France's prized AI champion. It's attracted more 289 00:13:44,480 --> 00:13:48,480 Speaker 3: than one billion euros in investment in this last year alone. Meanwhile, 290 00:13:48,600 --> 00:13:51,040 Speaker 3: there's a less prize French company right now. 291 00:13:51,160 --> 00:13:53,199 Speaker 4: Oh, indeed, we do have some breaking news. 292 00:13:53,040 --> 00:13:55,240 Speaker 3: Coming from the US, So before we head back out 293 00:13:55,240 --> 00:13:56,960 Speaker 3: to France, I just want to have a look that 294 00:13:57,040 --> 00:14:00,760 Speaker 3: Hunter Biden hasn't even convicted of gun charger by a 295 00:14:00,840 --> 00:14:04,640 Speaker 3: jury in a Delaware trial. The jury took three hours 296 00:14:04,679 --> 00:14:07,400 Speaker 3: to reach a verdict against the President's son, and Hunter 297 00:14:07,440 --> 00:14:11,720 Speaker 3: Biden still faces a separate tax crime trial in California. 298 00:14:12,200 --> 00:14:14,320 Speaker 3: We now want to go out to Katie Lyons, who 299 00:14:14,320 --> 00:14:16,480 Speaker 3: has been standing by for us in Washington, and Kayley. 300 00:14:16,880 --> 00:14:19,400 Speaker 4: The impact of this could be significant. 301 00:14:19,400 --> 00:14:22,280 Speaker 8: Caroline Hunter Biden here found guilty of all three counts 302 00:14:22,320 --> 00:14:24,360 Speaker 8: with which he was charged. This is the first time 303 00:14:24,440 --> 00:14:27,440 Speaker 8: in history that a child of a sitting president has 304 00:14:27,480 --> 00:14:30,200 Speaker 8: been convicted in federal court. Of course, this all stems 305 00:14:30,200 --> 00:14:32,640 Speaker 8: from his purchase of a gun in twenty eighteen when 306 00:14:32,640 --> 00:14:35,440 Speaker 8: he was addicted, according to prosecutors, to crack cocaine. And 307 00:14:35,440 --> 00:14:39,320 Speaker 8: this jury has indeed agreed with the prosecution, finding him 308 00:14:39,360 --> 00:14:42,120 Speaker 8: guilty of these three crimes, which he will be sentenced 309 00:14:42,120 --> 00:14:44,120 Speaker 8: for not today but in a number of weeks. It 310 00:14:44,120 --> 00:14:47,840 Speaker 8: potentially carries a maximum sentence of twenty five years in prison, 311 00:14:47,880 --> 00:14:50,640 Speaker 8: although it's unlikely that maximum sentence would be given for 312 00:14:50,760 --> 00:14:53,600 Speaker 8: a first time offender. But obviously this has massive both 313 00:14:53,640 --> 00:14:57,520 Speaker 8: personal and political implications for the incumbent president. Of course, 314 00:14:57,680 --> 00:14:59,960 Speaker 8: this is the son of Joe Biden we are talking about, 315 00:15:00,120 --> 00:15:04,000 Speaker 8: could potentially bring political ramification to him as well, in 316 00:15:04,040 --> 00:15:06,960 Speaker 8: addition to a great deal of personal difficulty. We have 317 00:15:07,040 --> 00:15:10,120 Speaker 8: heard from President Biden affirmed just days ago that he 318 00:15:10,160 --> 00:15:13,080 Speaker 8: would not intervene and pardon his son if he was 319 00:15:13,120 --> 00:15:16,200 Speaker 8: indeed found guilty as he has been today. There could 320 00:15:16,280 --> 00:15:19,680 Speaker 8: potentially be some political upside here in that This, of course, 321 00:15:19,720 --> 00:15:22,240 Speaker 8: follows just less than two weeks ago Donald Trump being 322 00:15:22,240 --> 00:15:24,280 Speaker 8: found guilty in the court in New York of thirty 323 00:15:24,280 --> 00:15:27,360 Speaker 8: four felony counts and allegations from Trump and other Republicans 324 00:15:27,360 --> 00:15:30,440 Speaker 8: that the justice system has been weaponized against Donald Trump. 325 00:15:30,480 --> 00:15:32,840 Speaker 8: But it's the same justice system that has now found 326 00:15:33,240 --> 00:15:36,480 Speaker 8: Hunter Biden guilty of a number of crimes, so potentially 327 00:15:36,520 --> 00:15:38,840 Speaker 8: it throws some cold water on that argument. Still, though 328 00:15:39,120 --> 00:15:43,880 Speaker 8: it does shine uncomfortable spotlight on the president's family. And 329 00:15:44,120 --> 00:15:47,240 Speaker 8: this also is just one case in which Hunter Biden 330 00:15:47,400 --> 00:15:49,960 Speaker 8: had been charged with crimes. He does face a separate 331 00:15:49,960 --> 00:15:52,120 Speaker 8: trial in September on tax crimes. 332 00:15:52,120 --> 00:15:56,160 Speaker 3: Caroline, Yes, exactly that one in California. Can you give 333 00:15:56,240 --> 00:15:59,840 Speaker 3: us a breakdown of what next? Then, Kaylee posts this verdict. 334 00:16:00,200 --> 00:16:02,960 Speaker 8: Be awaiting sentencing, Caroline, is really the question here? As 335 00:16:02,960 --> 00:16:05,280 Speaker 8: I mentioned, twenty five years is the maximum. Two of 336 00:16:05,320 --> 00:16:08,640 Speaker 8: these gun charges carries a maximum sentence of ten years each, 337 00:16:08,720 --> 00:16:11,360 Speaker 8: the third a maximum sentence of five years. But this 338 00:16:11,480 --> 00:16:13,680 Speaker 8: is the first time that Biden has a Hunter Biden 339 00:16:13,720 --> 00:16:15,520 Speaker 8: that is, has been convicted of a crime, so that 340 00:16:15,560 --> 00:16:19,080 Speaker 8: could bring potentially more leniency, But really will be looking 341 00:16:19,480 --> 00:16:23,440 Speaker 8: to see what ultimately the judge decides is it will 342 00:16:23,680 --> 00:16:26,480 Speaker 8: be up to that one individual in terms of the sentencing. 343 00:16:26,520 --> 00:16:28,680 Speaker 8: Will also be looking to see whether there is an 344 00:16:28,680 --> 00:16:30,720 Speaker 8: appeal on the part of the defense and whether or 345 00:16:30,760 --> 00:16:33,240 Speaker 8: not they then look ahead to that trial that is 346 00:16:33,280 --> 00:16:35,640 Speaker 8: set to happen in September. If there is an appellate 347 00:16:35,680 --> 00:16:38,200 Speaker 8: process still paying out in this case, could they successfully 348 00:16:38,720 --> 00:16:41,920 Speaker 8: delay that trial potentially though they have not yet had 349 00:16:42,040 --> 00:16:44,440 Speaker 8: success in doing so, And It's worth keeping in mind 350 00:16:44,440 --> 00:16:47,479 Speaker 8: that September tax trial he will be facing in California 351 00:16:47,520 --> 00:16:51,000 Speaker 8: brings us ever closer to the presidential election in which 352 00:16:51,520 --> 00:16:54,520 Speaker 8: Joe Biden, his father, is trying to seek a re 353 00:16:54,640 --> 00:16:57,240 Speaker 8: election for a second term, and that timing potentially could 354 00:16:57,240 --> 00:17:00,440 Speaker 8: add even greater political difficulty than what we're seeing here 355 00:17:00,440 --> 00:17:02,880 Speaker 8: today with the conviction of the president's son the first 356 00:17:02,880 --> 00:17:05,480 Speaker 8: time in history. Again, Caroline, that this has happened to. 357 00:17:05,400 --> 00:17:08,800 Speaker 3: The child of a sitting president, and as he said, already, 358 00:17:08,960 --> 00:17:11,760 Speaker 3: President Biden has said he would not pardon. But I'm 359 00:17:11,760 --> 00:17:13,960 Speaker 3: interested as to whether we will hear from him, if 360 00:17:13,960 --> 00:17:16,119 Speaker 3: there's any idea as to whether he will speak on 361 00:17:16,160 --> 00:17:16,440 Speaker 3: the matter. 362 00:17:16,960 --> 00:17:19,640 Speaker 8: Well, he does have a scheduled speaking engagement today, He'll 363 00:17:19,640 --> 00:17:22,640 Speaker 8: actually be speaking at a gun safety event here in Washington, 364 00:17:22,640 --> 00:17:25,399 Speaker 8: and he's set to travel to the G seven in Italy. 365 00:17:25,440 --> 00:17:28,960 Speaker 8: This is where the personal and the presidential duty potentially 366 00:17:28,960 --> 00:17:32,040 Speaker 8: come into conflict, Caroline is obviously this is likely a 367 00:17:32,119 --> 00:17:34,680 Speaker 8: very difficult day for the Biden family. We will see 368 00:17:34,720 --> 00:17:37,600 Speaker 8: if he makes any statement on this before departing to Italy, 369 00:17:37,640 --> 00:17:39,480 Speaker 8: but when he does so, attends the G seven that 370 00:17:39,520 --> 00:17:42,080 Speaker 8: will be carrying out the duties of the presidency, trying 371 00:17:42,080 --> 00:17:45,040 Speaker 8: to focus on geopolitics, foreign policy, all of the other 372 00:17:45,119 --> 00:17:48,080 Speaker 8: responsibilities of this office, while also having to deal with 373 00:17:48,080 --> 00:17:51,600 Speaker 8: the difficulty of having your son the only living person 374 00:17:51,720 --> 00:17:54,040 Speaker 8: from the car crash that killed his first wife and 375 00:17:54,160 --> 00:17:57,560 Speaker 8: daughter many years ago. And of course, Bobiden, who had 376 00:17:57,560 --> 00:18:01,119 Speaker 8: survived that crash, died of cancer back in twenty fifteen, 377 00:18:01,119 --> 00:18:03,600 Speaker 8: and that is when many of Hunter Biden's addiction problems 378 00:18:03,760 --> 00:18:05,800 Speaker 8: really began, and that really was what was at the 379 00:18:05,800 --> 00:18:08,040 Speaker 8: heart of this case, Caroline. This is a story of 380 00:18:08,040 --> 00:18:10,600 Speaker 8: someone who was struggling with an addiction. This was very 381 00:18:10,640 --> 00:18:14,760 Speaker 8: painful as we saw ex girlfriends, ex wives, even Naomi Biden, 382 00:18:14,840 --> 00:18:18,720 Speaker 8: hunter Biden's daughter, testifying throughout this trial about the personal 383 00:18:18,760 --> 00:18:21,880 Speaker 8: difficulty and what he was grappling with over the course 384 00:18:21,920 --> 00:18:24,600 Speaker 8: of those years that he was an addict, And obviously 385 00:18:24,640 --> 00:18:27,760 Speaker 8: just shines a very uncomfortable spotlight on the first family. 386 00:18:28,640 --> 00:18:32,720 Speaker 3: Very personal, Kayleie, but very political in nature. And I 387 00:18:32,760 --> 00:18:36,440 Speaker 3: therefore wonder what impact you think it will have longer 388 00:18:36,560 --> 00:18:38,040 Speaker 3: term as we enter the election. 389 00:18:38,520 --> 00:18:40,760 Speaker 8: It's going to be hard to tell immediately, Caroline, as 390 00:18:40,800 --> 00:18:42,400 Speaker 8: it has been hard to tell just in the last 391 00:18:42,400 --> 00:18:44,800 Speaker 8: few weeks what the real impact of Donald Trump's own 392 00:18:45,200 --> 00:18:47,680 Speaker 8: felony conviction has been, as we haven't seen any great 393 00:18:47,720 --> 00:18:50,119 Speaker 8: shift in pulling thus far, so we'll see if it 394 00:18:50,160 --> 00:18:52,320 Speaker 8: actually has a material impact on the way that Joe 395 00:18:52,359 --> 00:18:54,680 Speaker 8: Biden is pulling. What I would point out here is 396 00:18:54,720 --> 00:18:57,200 Speaker 8: there is a very important distinction. What we are talking 397 00:18:57,200 --> 00:18:59,840 Speaker 8: about in this case is a conviction of the sun 398 00:19:00,080 --> 00:19:02,480 Speaker 8: the president, not someone who has held the office himself 399 00:19:02,720 --> 00:19:06,080 Speaker 8: or seeking to be president. That is different than Donald Trump, 400 00:19:06,080 --> 00:19:08,320 Speaker 8: who not only is a former president of the United States, 401 00:19:08,320 --> 00:19:11,840 Speaker 8: but currently is the presumptive Republican nominee. So while this 402 00:19:11,920 --> 00:19:14,680 Speaker 8: may complicate the messaging that Joe Biden and other Democrats 403 00:19:14,720 --> 00:19:17,280 Speaker 8: may want it to have utilized in this election cycle, 404 00:19:17,320 --> 00:19:21,200 Speaker 8: the idea that Donald Trump is morally questionable by being 405 00:19:21,200 --> 00:19:24,399 Speaker 8: a convicted felon, perhaps that argument gets more difficult to 406 00:19:24,400 --> 00:19:28,040 Speaker 8: make when your own son is also convicted of crime, 407 00:19:28,160 --> 00:19:30,760 Speaker 8: So that could be politically complicated. And of course, there 408 00:19:30,800 --> 00:19:33,399 Speaker 8: has been a lot of scrutiny in Congress of Hunter 409 00:19:33,440 --> 00:19:36,439 Speaker 8: Biden and the entire Biden family, a lot of allegations 410 00:19:36,480 --> 00:19:39,800 Speaker 8: made by many different members as part of the impeachment 411 00:19:39,800 --> 00:19:42,560 Speaker 8: inquiry that largely seems to have died down, but it'll 412 00:19:42,600 --> 00:19:45,080 Speaker 8: be interesting to see if this revs anything up in 413 00:19:45,119 --> 00:19:48,560 Speaker 8: that regard further congressionally as well. All that said, we're 414 00:19:48,600 --> 00:19:50,480 Speaker 8: really just going to have to be paying attention to 415 00:19:50,520 --> 00:19:52,520 Speaker 8: the polls. As right now it is June, we still 416 00:19:52,520 --> 00:19:55,240 Speaker 8: have almost five full months to go before the election 417 00:19:55,320 --> 00:19:57,600 Speaker 8: on November fifth, and a lot could happen between now 418 00:19:57,640 --> 00:20:00,879 Speaker 8: and then, including a second criminal trial of Hunter Biden. 419 00:20:01,160 --> 00:20:04,280 Speaker 3: Kaylie, We are, of course a business network. Is there 420 00:20:04,320 --> 00:20:09,480 Speaker 3: any implication on companies surrounding gunlow and indeed the way 421 00:20:09,520 --> 00:20:13,240 Speaker 3: that might direct travel for purchases, for demand for. 422 00:20:13,240 --> 00:20:17,119 Speaker 8: Supply, That's an interesting question, Caroline. Obviously, Joe Biden is 423 00:20:17,240 --> 00:20:20,359 Speaker 8: largely a president who has spoken about gun safety. He 424 00:20:20,400 --> 00:20:22,359 Speaker 8: will in fact be doing so at in every town 425 00:20:22,440 --> 00:20:25,040 Speaker 8: for a gun safety event later on today, which of 426 00:20:25,040 --> 00:20:27,200 Speaker 8: course is affiliated with Michael Bloomberg, the founder and. 427 00:20:27,160 --> 00:20:28,879 Speaker 4: Majority owner of Bloomberg LP. 428 00:20:29,040 --> 00:20:31,119 Speaker 8: But largely he is a president that has advocated for 429 00:20:31,200 --> 00:20:36,320 Speaker 8: greater gun control measures, which is difficult for perhaps explanation wise, 430 00:20:36,320 --> 00:20:39,679 Speaker 8: when your own son illegally purchased a firearmist, as he 431 00:20:39,760 --> 00:20:42,920 Speaker 8: was found guilty of doing today with this crack cocaine addiction. 432 00:20:43,359 --> 00:20:46,560 Speaker 8: Will it, though, materially change anything around gun laws, Caroline, 433 00:20:46,600 --> 00:20:49,520 Speaker 8: It's very unlikely, given that no matter what developments we 434 00:20:49,560 --> 00:20:52,000 Speaker 8: have seen in the gun violence area, mass shooting after 435 00:20:52,000 --> 00:20:54,600 Speaker 8: mass shooting in the United States, nothing really has ever 436 00:20:54,640 --> 00:20:57,680 Speaker 8: done legislatively. Joe Biden has signed a number of executive 437 00:20:57,760 --> 00:21:02,000 Speaker 8: orders looking to restrain gun purchases in some areas, but 438 00:21:02,520 --> 00:21:04,840 Speaker 8: it's something that you really can't crack down on with 439 00:21:04,840 --> 00:21:07,840 Speaker 8: that congressional approval, and with Republicans in control of the House, 440 00:21:07,880 --> 00:21:10,960 Speaker 8: that is unlikely to be happening, at least in this Congress. 441 00:21:11,200 --> 00:21:13,920 Speaker 3: The coolest of being put through the test at the moment, Kaylee, 442 00:21:13,960 --> 00:21:16,879 Speaker 3: Are we likely to anticipate more of this as a 443 00:21:16,880 --> 00:21:19,520 Speaker 3: political narrative, as a political way of doing business here 444 00:21:19,560 --> 00:21:20,359 Speaker 3: in the United States. 445 00:21:20,880 --> 00:21:23,280 Speaker 8: Yeah, it's an interesting question, Caroline, because we are at 446 00:21:23,280 --> 00:21:25,399 Speaker 8: this really unique moment in time where we now have 447 00:21:25,560 --> 00:21:28,199 Speaker 8: not just a former president and presumptive nominee who has 448 00:21:28,240 --> 00:21:31,080 Speaker 8: been convicted of crimes, but a president's son convicted of 449 00:21:31,080 --> 00:21:33,600 Speaker 8: crimes within the same week, both or with two week period. 450 00:21:33,600 --> 00:21:36,440 Speaker 8: Both of these obviously incredibly historic. We have never seen 451 00:21:36,480 --> 00:21:39,120 Speaker 8: anything like this before. It will be interesting to see 452 00:21:39,160 --> 00:21:41,959 Speaker 8: how this alters the narrative because after Donald Trump's conviction 453 00:21:42,000 --> 00:21:44,959 Speaker 8: of thirty four accounts in New York just less than 454 00:21:44,960 --> 00:21:47,479 Speaker 8: two weeks ago, there has been a narrative about a 455 00:21:47,640 --> 00:21:50,840 Speaker 8: justice system that has been weaponized or targeting Donald Trump, 456 00:21:50,880 --> 00:21:52,639 Speaker 8: whether or not that is true. As Joe Biden did 457 00:21:52,640 --> 00:21:54,720 Speaker 8: not actually have the power to say direct a New 458 00:21:54,800 --> 00:21:58,119 Speaker 8: York State case against Donald Trump, he could theoretically have 459 00:21:58,160 --> 00:22:00,920 Speaker 8: the power to step in with this Special Council investigation 460 00:22:00,960 --> 00:22:03,399 Speaker 8: into Hunter Biden, with this trial, potentially with the pardon, 461 00:22:03,560 --> 00:22:05,600 Speaker 8: and he has declined to do so. He has declined 462 00:22:05,840 --> 00:22:08,680 Speaker 8: to intervene as he has really been trying to speak 463 00:22:08,720 --> 00:22:11,679 Speaker 8: a message of preserving faith in the justice system and 464 00:22:11,720 --> 00:22:14,000 Speaker 8: allowing it to do its work. So now that this 465 00:22:14,080 --> 00:22:16,400 Speaker 8: has happened to his son being found guilty of three 466 00:22:16,520 --> 00:22:18,920 Speaker 8: crimes here in Delaware, it will be interesting to see 467 00:22:18,920 --> 00:22:21,440 Speaker 8: if it does indeed alter the narrative around the way 468 00:22:21,440 --> 00:22:23,639 Speaker 8: the justice system is working. Because you can no longer 469 00:22:23,640 --> 00:22:25,600 Speaker 8: say it's only going after Donald Trump. 470 00:22:25,640 --> 00:22:27,600 Speaker 4: It has come for a Biden as well. 471 00:22:27,880 --> 00:22:31,680 Speaker 3: Kayleie Lynes, just so much information to digest and reacting 472 00:22:31,720 --> 00:22:35,280 Speaker 3: in the moment to this finding from the court and 473 00:22:35,320 --> 00:22:38,160 Speaker 3: from the jury We thank you very much. Indeed, all 474 00:22:38,200 --> 00:22:41,560 Speaker 3: Things Washington now we return to all Things Technology. Coming up, 475 00:22:41,600 --> 00:22:43,720 Speaker 3: we're going to be deciding, well the direction. 476 00:22:43,520 --> 00:22:44,800 Speaker 4: Of travel for Apple going forward. 477 00:22:44,880 --> 00:22:47,119 Speaker 3: Laura Martin and Needham joining us with her reaction on 478 00:22:47,160 --> 00:22:50,679 Speaker 3: Apple's long awaited AI strategy. Well, she makes the iPhone 479 00:22:50,680 --> 00:22:52,359 Speaker 3: maker partnership with open AI. 480 00:22:52,760 --> 00:22:53,359 Speaker 4: That's next. 481 00:22:53,800 --> 00:22:56,359 Speaker 3: Plus, we already know where Elon Musk stands on Apple's 482 00:22:56,440 --> 00:23:00,159 Speaker 3: newly announced partnership, but he's getting some empathy. New e 483 00:23:00,359 --> 00:23:02,840 Speaker 3: State Minister for AI and Digital Economy, who spoke to 484 00:23:02,880 --> 00:23:04,560 Speaker 3: Bloomberg earlier today, just. 485 00:23:04,560 --> 00:23:05,080 Speaker 4: Tic a listen. 486 00:23:05,600 --> 00:23:08,000 Speaker 9: What Elon said was, if it turns out that they're 487 00:23:08,000 --> 00:23:10,680 Speaker 9: going to deploy charg ept and open the eyes infrastructure 488 00:23:10,720 --> 00:23:14,359 Speaker 9: on the OS level, then there are some security risks. 489 00:23:14,440 --> 00:23:17,560 Speaker 9: I think given the quality of what they're doing and 490 00:23:17,640 --> 00:23:20,480 Speaker 9: the secrecy around the advancements that they're pushing forward, it 491 00:23:20,520 --> 00:23:22,160 Speaker 9: makes a lot of sense for him to think, aren't. 492 00:23:21,920 --> 00:23:39,040 Speaker 3: We welcome back to Bluemberg Technology. I'm Carolin Hide in 493 00:23:39,040 --> 00:23:41,720 Speaker 3: New York and moments ago with the breaking news that 494 00:23:41,760 --> 00:23:45,359 Speaker 3: a Delaware jury has reached a verdict finding Hunter Biden 495 00:23:45,480 --> 00:23:49,640 Speaker 3: guilty of gun charges. Now he was found guilty by 496 00:23:49,640 --> 00:23:52,120 Speaker 3: a federal court jury and has become the first child 497 00:23:52,160 --> 00:23:54,960 Speaker 3: of a sitting US president to be convicted of such crimes. 498 00:23:55,440 --> 00:23:57,320 Speaker 3: Now we know that the verdict came less than two 499 00:23:57,320 --> 00:24:00,160 Speaker 3: weeks after his father's chief rival for the president see 500 00:24:00,200 --> 00:24:02,520 Speaker 3: Donald Trump was found guilty by New York during his 501 00:24:02,640 --> 00:24:06,080 Speaker 3: thirty four counts of falsifying business records late last month. 502 00:24:07,000 --> 00:24:10,399 Speaker 3: Political system intertwines with the legal system, and to do 503 00:24:10,440 --> 00:24:14,320 Speaker 3: that with us, as bloombergs Greg Farrell, and extraordinary really 504 00:24:14,359 --> 00:24:19,159 Speaker 3: what we're currently seeing in terms of how the legal 505 00:24:19,200 --> 00:24:22,240 Speaker 3: system is becoming a focus for both presidential candidates. But 506 00:24:22,280 --> 00:24:24,159 Speaker 3: this one is novel in terms of the son of 507 00:24:24,200 --> 00:24:25,000 Speaker 3: a sitting president. 508 00:24:25,240 --> 00:24:30,280 Speaker 10: Yes, absolutely, Caroen, It's extraordinary. It's extraordinary because I think 509 00:24:30,320 --> 00:24:32,920 Speaker 10: Hunter Biden believed he had he you know, was totally 510 00:24:32,920 --> 00:24:34,760 Speaker 10: he had a deal a year ago to put this 511 00:24:34,840 --> 00:24:37,880 Speaker 10: behind him, and that fell apart. And it's a question 512 00:24:37,920 --> 00:24:41,200 Speaker 10: of timing with Donald Trump being charged in several places, 513 00:24:41,560 --> 00:24:45,240 Speaker 10: it's just so patently would be unfair. It looked the 514 00:24:45,280 --> 00:24:48,400 Speaker 10: optics would be terrible if Hunter Biden weren't charged and 515 00:24:49,400 --> 00:24:50,720 Speaker 10: you know, taken to trial. 516 00:24:52,119 --> 00:24:54,560 Speaker 4: How what did you make of the swiftness or not? 517 00:24:54,760 --> 00:24:57,080 Speaker 3: Many had felt that perhaps they're coming back a second day, 518 00:24:57,080 --> 00:24:59,159 Speaker 3: it hadn't been an immediate decision coming from the jury. 519 00:24:59,359 --> 00:25:01,439 Speaker 10: Well, I think it's of course, we don't know what 520 00:25:01,480 --> 00:25:03,560 Speaker 10: goes on in the room, but I think that if 521 00:25:03,600 --> 00:25:06,199 Speaker 10: they get it in the afternoon, let's think about it. 522 00:25:06,240 --> 00:25:09,080 Speaker 10: This is a serious thing. Let's not just drump fraternity conclusions. 523 00:25:09,119 --> 00:25:11,520 Speaker 10: Everybody sleeps on it. This is a normal thing, and 524 00:25:11,520 --> 00:25:13,320 Speaker 10: they all come back the next day. It's a pretty 525 00:25:13,320 --> 00:25:15,960 Speaker 10: simple case. And unfortunately for Hunter Biden, he wrote it 526 00:25:15,960 --> 00:25:18,359 Speaker 10: in a book what his condition was at the time, 527 00:25:18,680 --> 00:25:20,840 Speaker 10: and he didn't take the stand. So it's really not 528 00:25:20,880 --> 00:25:23,159 Speaker 10: a surprise in terms of the verdict. It's more, as 529 00:25:23,200 --> 00:25:26,480 Speaker 10: you pointed out, the magnitude of this, that this strangeness 530 00:25:26,480 --> 00:25:29,159 Speaker 10: of the world we're in where one former president's been 531 00:25:29,160 --> 00:25:31,119 Speaker 10: convicted one week and then the son of the current 532 00:25:31,160 --> 00:25:32,560 Speaker 10: president right now. 533 00:25:33,520 --> 00:25:35,720 Speaker 3: I asked this previously of Kayley, and I put it 534 00:25:35,720 --> 00:25:39,359 Speaker 3: to you as someone who so understands and embodies what 535 00:25:39,359 --> 00:25:41,960 Speaker 3: the legal system means for US politics, but the US 536 00:25:41,960 --> 00:25:42,760 Speaker 3: economy as well. 537 00:25:43,040 --> 00:25:45,560 Speaker 4: Is this the way of the land now? 538 00:25:45,600 --> 00:25:48,600 Speaker 3: Are we going to see far more legal system taking 539 00:25:48,640 --> 00:25:51,080 Speaker 3: action around political decision making? 540 00:25:51,320 --> 00:25:55,800 Speaker 10: Unfortunately, I don't believe necessary in the weaponization of the 541 00:25:56,040 --> 00:26:00,119 Speaker 10: Justice Department that's been claimed. However, now that we've gone there, 542 00:26:00,400 --> 00:26:04,119 Speaker 10: now that a local district attorney has riught charges against 543 00:26:04,119 --> 00:26:07,960 Speaker 10: the former president, it's you know, this is going to 544 00:26:07,960 --> 00:26:10,520 Speaker 10: get worse before it gets better. I don't think there's 545 00:26:10,520 --> 00:26:12,280 Speaker 10: going to be cooler heads that are going to prevail. 546 00:26:12,560 --> 00:26:17,040 Speaker 10: Whoever loses the election in November, might you know, get 547 00:26:17,040 --> 00:26:20,919 Speaker 10: even more galvanized, or whoever wins to you know, exact 548 00:26:20,960 --> 00:26:24,640 Speaker 10: some retribution. So it's a concerning time that way, Greg. 549 00:26:24,359 --> 00:26:28,879 Speaker 3: We really appreciate you analyzing what is another unprecedented finding 550 00:26:28,920 --> 00:26:32,040 Speaker 3: here Ander Biden found guilty of gun charges by a 551 00:26:32,040 --> 00:26:33,600 Speaker 3: federal court jury in Delaware. 552 00:26:34,119 --> 00:26:35,520 Speaker 4: Greg Farrell, we appreciate him. 553 00:26:35,560 --> 00:26:38,440 Speaker 3: Meanwhile, let's go back to what we do at Bloomberg. 554 00:26:38,440 --> 00:26:41,679 Speaker 3: The markets currently seeing course political risk evident over in 555 00:26:41,720 --> 00:26:44,439 Speaker 3: Europe and France in particular, under pressure, we close the 556 00:26:44,440 --> 00:26:46,639 Speaker 3: market down with the stocks it's undered off by almost 557 00:26:46,640 --> 00:26:49,879 Speaker 3: a percentage point France in particular, as Macron calls a 558 00:26:49,960 --> 00:26:53,360 Speaker 3: key vote and rumors did swirl as to what would 559 00:26:53,400 --> 00:26:55,600 Speaker 3: be the longevity of his own presidency. He of course 560 00:26:55,640 --> 00:26:57,920 Speaker 3: has refuted that for now and says that he would 561 00:26:58,000 --> 00:27:00,760 Speaker 3: remain Now's that one hundred the big tech benchmark currently 562 00:27:00,800 --> 00:27:02,879 Speaker 3: up at tenth f per percent. Apple guiding us higher. 563 00:27:03,040 --> 00:27:05,080 Speaker 3: Bitcoin on the downside of by more than four percent 564 00:27:05,119 --> 00:27:08,040 Speaker 3: as bonds sell off, a key correlation happening, and indeed 565 00:27:08,320 --> 00:27:11,520 Speaker 3: much trepidation as we look towards a federal reserve decision 566 00:27:11,560 --> 00:27:14,639 Speaker 3: this week and indeed an inflation print move on some 567 00:27:14,680 --> 00:27:16,879 Speaker 3: individual stocks for you. Look, we did get some earnings 568 00:27:16,920 --> 00:27:18,840 Speaker 3: coming out of Autodesk, and not good enough when it 569 00:27:18,840 --> 00:27:20,679 Speaker 3: comes to this software provider. We're off by five percent. 570 00:27:20,720 --> 00:27:23,760 Speaker 3: Tesla down by more than three percent. Interesting what we're 571 00:27:23,760 --> 00:27:26,640 Speaker 3: seeing currently with Tesla and JP Morgan having a note 572 00:27:26,640 --> 00:27:29,760 Speaker 3: out today really saying that having spoken to investor relations 573 00:27:29,760 --> 00:27:32,040 Speaker 3: over at the company, they worry that the revenue generation 574 00:27:32,080 --> 00:27:34,160 Speaker 3: of a robotaxi ain't coming anytime soon. 575 00:27:34,440 --> 00:27:35,560 Speaker 4: We're off by more than three percent. 576 00:27:35,600 --> 00:27:38,160 Speaker 3: But of course Elon Musk, the leader of Tesla, currently 577 00:27:38,200 --> 00:27:42,919 Speaker 3: distracted by well the frustrations he sees with Apple's relationship 578 00:27:42,960 --> 00:27:46,359 Speaker 3: with now Open ai and an integration of chatchpt within 579 00:27:46,680 --> 00:27:48,080 Speaker 3: Apple's operating system. 580 00:27:48,280 --> 00:27:49,320 Speaker 4: Apple currently up more. 581 00:27:49,160 --> 00:27:51,600 Speaker 3: Than six percent a new record high two hundred and 582 00:27:51,600 --> 00:27:53,680 Speaker 3: five is where we trade. And that's all because of 583 00:27:53,720 --> 00:27:57,480 Speaker 3: the WWDC conference, which of course opened yesterday with a 584 00:27:57,520 --> 00:28:00,679 Speaker 3: whole slate of software updates across products, partnership, as I 585 00:28:00,680 --> 00:28:03,160 Speaker 3: mentioned with Open AI, and of course it's long awaited 586 00:28:03,200 --> 00:28:05,560 Speaker 3: Apple Intelligence, his CEO Tim Cook. 587 00:28:06,600 --> 00:28:11,119 Speaker 2: Recent developments and generative intelligence and large language models offer 588 00:28:11,359 --> 00:28:15,920 Speaker 2: powerful capabilities that provide the opportunity to take the experience 589 00:28:15,960 --> 00:28:21,160 Speaker 2: of using Apple products to new heights. Introducing Apple Intelligence, 590 00:28:21,760 --> 00:28:25,320 Speaker 2: the new personal intelligence system that makes your most personal 591 00:28:25,440 --> 00:28:28,159 Speaker 2: products even more useful and delightful. 592 00:28:29,320 --> 00:28:31,840 Speaker 3: Apparently that video will being short in Apple devices as well. 593 00:28:31,920 --> 00:28:34,359 Speaker 3: Jackie Devlos who was there on the ground yesterday and 594 00:28:34,400 --> 00:28:37,199 Speaker 3: now life from San Francisco for us, and it felt 595 00:28:37,200 --> 00:28:40,000 Speaker 3: in the moment that perhaps there wasn't that wow factor, 596 00:28:40,040 --> 00:28:41,680 Speaker 3: but today the market showing there is. 597 00:28:42,040 --> 00:28:42,920 Speaker 4: That's right, Carolina. 598 00:28:42,920 --> 00:28:45,320 Speaker 11: It took the market a little while to catch up. 599 00:28:45,320 --> 00:28:49,680 Speaker 11: But notice how Tim Cook emphasized the word useful, that 600 00:28:49,880 --> 00:28:53,760 Speaker 11: theme utility. They mentioned AI for the rest of us, 601 00:28:53,760 --> 00:28:56,800 Speaker 11: and I think this really showed through in the features 602 00:28:56,800 --> 00:29:00,560 Speaker 11: that they highlighted yesterday as part of the Apple Intelligence rollout. 603 00:29:00,800 --> 00:29:04,320 Speaker 11: Let's like, look at the summarization capabilities that we now have, 604 00:29:04,480 --> 00:29:09,440 Speaker 11: transcription of audio. You can also personalize AI emojis. When 605 00:29:09,440 --> 00:29:11,640 Speaker 11: you think about just kind of the mass appeal that 606 00:29:11,720 --> 00:29:15,600 Speaker 11: can have, that was really key. They also emphasized privacy, 607 00:29:15,960 --> 00:29:19,520 Speaker 11: but outside of the AI features as well, that iOS 608 00:29:19,640 --> 00:29:23,720 Speaker 11: eighteen upgrade has some pretty cool things coming down the pipeline. 609 00:29:23,760 --> 00:29:27,280 Speaker 11: For example, you can tap back messages with different emojis, 610 00:29:27,320 --> 00:29:30,480 Speaker 11: You can schedule messages to be sent later. You can 611 00:29:30,560 --> 00:29:33,040 Speaker 11: access more apps in different ways in your control center, 612 00:29:33,440 --> 00:29:36,040 Speaker 11: organize them differently on the home screen. They really gave 613 00:29:36,080 --> 00:29:38,880 Speaker 11: a lot to people here in this rollout, but look, 614 00:29:38,960 --> 00:29:41,000 Speaker 11: we were sitting there for an hour and a half 615 00:29:41,040 --> 00:29:44,760 Speaker 11: before the AI highlights really came through, so there was 616 00:29:44,800 --> 00:29:47,680 Speaker 11: a lot of anticipation and look, this is their first swing, 617 00:29:48,120 --> 00:29:50,600 Speaker 11: and from what we could tell, you know, it's just 618 00:29:50,720 --> 00:29:53,880 Speaker 11: the first step in this broader AI rollout, and many. 619 00:29:53,720 --> 00:29:56,600 Speaker 3: Felt that actually only sort of name checking open AI 620 00:29:56,720 --> 00:30:00,800 Speaker 3: for two minutes within that ninety minute thereabouts present, it 621 00:30:00,880 --> 00:30:04,200 Speaker 3: was trying to suppress the actual real integration but really 622 00:30:04,280 --> 00:30:06,120 Speaker 3: lean into what it will do for you as a 623 00:30:06,160 --> 00:30:09,800 Speaker 3: consumer a user. I'm really trying to identify privacy and 624 00:30:09,880 --> 00:30:12,760 Speaker 3: protection being key, but you know, musk cooling that into. 625 00:30:12,720 --> 00:30:16,360 Speaker 11: Question exactly you know Siria was a major highlight because 626 00:30:16,960 --> 00:30:21,280 Speaker 11: that digital assistant will have the opportunity to basically be 627 00:30:21,320 --> 00:30:25,640 Speaker 11: able to pull information from Chat GPT when answering questions. Now, 628 00:30:25,800 --> 00:30:28,720 Speaker 11: you're absolutely right, privacy was highlighted, Caroline. 629 00:30:28,960 --> 00:30:30,480 Speaker 4: They made sure to note. 630 00:30:30,240 --> 00:30:32,800 Speaker 11: That you can opt out of this, that you have 631 00:30:32,880 --> 00:30:36,800 Speaker 11: to give Siri permission to tap into chat GPT and 632 00:30:36,840 --> 00:30:40,440 Speaker 11: when you think about the concerns that Elon Musk is raising, well, 633 00:30:40,440 --> 00:30:43,760 Speaker 11: it does also shine a spotlight on the other questions 634 00:30:43,760 --> 00:30:46,320 Speaker 11: that Apple has to answer. What exactly happens to the 635 00:30:46,440 --> 00:30:50,120 Speaker 11: data does open Ai have access to kind of seeing 636 00:30:50,120 --> 00:30:53,800 Speaker 11: how you interact with the app on the screen. There's 637 00:30:53,840 --> 00:30:56,040 Speaker 11: a lot that I think people want to know and 638 00:30:56,360 --> 00:30:58,080 Speaker 11: some of those details will come out, but they were 639 00:30:59,200 --> 00:31:02,720 Speaker 11: key to actually highlight that users will be asked for permission, 640 00:31:02,800 --> 00:31:06,240 Speaker 11: their request and informations will not be logged, so of course, 641 00:31:06,440 --> 00:31:09,560 Speaker 11: really keeping with that Apple privacy ethos. 642 00:31:09,520 --> 00:31:12,080 Speaker 3: Jackie Davis with a roundup, We thank you so much. 643 00:31:12,120 --> 00:31:14,240 Speaker 3: It was a long day yesterday and up early with 644 00:31:14,320 --> 00:31:16,680 Speaker 3: us today. We thank you. Let's keep this conversation going. 645 00:31:16,720 --> 00:31:19,120 Speaker 3: Laura Marson, Senior Entertainment and Internet Analyst. They wre at 646 00:31:19,200 --> 00:31:22,040 Speaker 3: Needham and Co. You join us for more after Well, 647 00:31:22,160 --> 00:31:24,720 Speaker 3: you're a buy on Apple, you've overall think that the 648 00:31:24,760 --> 00:31:26,400 Speaker 3: price point is going to go even higher than this, 649 00:31:26,440 --> 00:31:28,920 Speaker 3: to a two hundred and twenty dollars price point. But 650 00:31:29,560 --> 00:31:33,000 Speaker 3: what happened at the event yesterday and what galvanizes it today? 651 00:31:33,480 --> 00:31:33,680 Speaker 6: Right? 652 00:31:33,800 --> 00:31:35,760 Speaker 12: So, I mean, I think I think we were very 653 00:31:35,760 --> 00:31:39,280 Speaker 12: disappointed at the Apple generative of AI stuff. First they 654 00:31:39,320 --> 00:31:41,160 Speaker 12: put it last, As you said, they talked for sixty 655 00:31:41,200 --> 00:31:44,640 Speaker 12: five minutes about new colors and new things that felt 656 00:31:44,680 --> 00:31:48,320 Speaker 12: like Snapchat type of functionality, and then in minutes sixty 657 00:31:48,320 --> 00:31:50,600 Speaker 12: five they started talking about the only thing Wall Street 658 00:31:50,640 --> 00:31:54,400 Speaker 12: cares about because this company has very anemic growth. They're 659 00:31:54,440 --> 00:31:58,440 Speaker 12: going to report one percent revenue growth this year, and 660 00:31:59,160 --> 00:32:01,440 Speaker 12: what we really want to hear was what's going on 661 00:32:01,480 --> 00:32:04,000 Speaker 12: with jenerator of I that's going to force an iPhone 662 00:32:04,040 --> 00:32:08,240 Speaker 12: replacement cycle to drive that one percent revenue growth higher 663 00:32:08,320 --> 00:32:11,280 Speaker 12: to two three four percent? And there is nothing I 664 00:32:11,360 --> 00:32:14,600 Speaker 12: felt that they'd announced that made consumers want to run 665 00:32:14,640 --> 00:32:17,400 Speaker 12: out and replace their iPhone And now we have to 666 00:32:17,400 --> 00:32:20,320 Speaker 12: wait a year because they have an annual replacement cycle. 667 00:32:20,440 --> 00:32:22,480 Speaker 12: So now if you didn't like what you heard yesterday, 668 00:32:22,720 --> 00:32:24,600 Speaker 12: you have to wait a year till the next cool 669 00:32:24,680 --> 00:32:27,400 Speaker 12: generative AI stuff. So I mean, I thought it was 670 00:32:27,440 --> 00:32:29,520 Speaker 12: a very disappointing day, which is why the shares were 671 00:32:29,560 --> 00:32:32,120 Speaker 12: down two percent as soon as they finished speaking. 672 00:32:32,440 --> 00:32:33,680 Speaker 6: Today they're up six percent. 673 00:32:33,760 --> 00:32:36,480 Speaker 12: Maybe because the developers are finding cool ways that they 674 00:32:36,480 --> 00:32:40,360 Speaker 12: can integrate these functionality into their own individual apps. But 675 00:32:40,880 --> 00:32:42,920 Speaker 12: I thought it was too little, too late. They continue 676 00:32:42,960 --> 00:32:45,000 Speaker 12: to be way behind on janitor of AI and they 677 00:32:45,040 --> 00:32:45,880 Speaker 12: need to catch up. 678 00:32:45,800 --> 00:32:47,440 Speaker 3: And they seem to be trying to catch up with 679 00:32:47,560 --> 00:32:51,320 Speaker 3: for now third party relationships. What is the flow of 680 00:32:51,440 --> 00:32:54,000 Speaker 3: money here, Laura, Because they're not going to be charging 681 00:32:54,080 --> 00:32:56,800 Speaker 3: us for the joy of being suddenly able to use 682 00:32:57,120 --> 00:32:59,560 Speaker 3: chatchipts should we wish to do? How much are they 683 00:32:59,560 --> 00:33:01,480 Speaker 3: going to be paid and open a How much money 684 00:33:01,520 --> 00:33:03,000 Speaker 3: are they going to be having to spend or is 685 00:33:03,040 --> 00:33:05,640 Speaker 3: it good that they don't need all their own GPU 686 00:33:05,720 --> 00:33:08,200 Speaker 3: hole to a sad extent, Yeah, they say they're. 687 00:33:08,000 --> 00:33:10,840 Speaker 12: Going to be using their own servers within the to 688 00:33:10,880 --> 00:33:13,640 Speaker 12: so to hold on to the iOS data in their 689 00:33:13,680 --> 00:33:17,240 Speaker 12: own service in the cloud over at Microsoft. So I 690 00:33:17,280 --> 00:33:20,480 Speaker 12: do think they are still continuing to focus on privacy, 691 00:33:20,880 --> 00:33:23,720 Speaker 12: but I think the way the money works. 692 00:33:23,480 --> 00:33:24,160 Speaker 6: Is that they will. 693 00:33:24,200 --> 00:33:26,280 Speaker 12: The way these deals typically work is that Apple will 694 00:33:26,320 --> 00:33:29,840 Speaker 12: pay the Microsoft Cloud and Chat GPT probably a fixed 695 00:33:29,920 --> 00:33:32,800 Speaker 12: fee per month, and then they'll put it into your 696 00:33:32,840 --> 00:33:35,080 Speaker 12: iPhone price. So your iPhone price is going to go 697 00:33:35,120 --> 00:33:37,640 Speaker 12: from fourteen hundred dollars to fifteen hundred dollars and you'll 698 00:33:37,640 --> 00:33:41,160 Speaker 12: pay for it upfront. If they find there are heavy users, 699 00:33:41,200 --> 00:33:43,200 Speaker 12: my guess is they add a monthly tier. You know, 700 00:33:43,240 --> 00:33:45,360 Speaker 12: I pay twenty dollars a month right now for Chat 701 00:33:45,360 --> 00:33:48,480 Speaker 12: GPT four. My guess is Apple gets that for a 702 00:33:48,520 --> 00:33:51,840 Speaker 12: lower price, but they probably search charge heavy users of 703 00:33:51,840 --> 00:33:54,520 Speaker 12: that particular functionality. I think a lot of people because 704 00:33:54,560 --> 00:33:56,760 Speaker 12: of the privacy issue, will not use it, will not 705 00:33:56,840 --> 00:33:59,160 Speaker 12: call out to the cloud to chat GPT. 706 00:33:59,800 --> 00:34:01,280 Speaker 6: The Apple doesn't, isn't. 707 00:34:01,360 --> 00:34:03,640 Speaker 12: It's not costing Apple anymore for those users. 708 00:34:04,240 --> 00:34:07,680 Speaker 3: So maybe this key concern reference bytal Musk will be 709 00:34:07,800 --> 00:34:10,880 Speaker 3: listened to by some in the crowd. Laura, the reason 710 00:34:10,920 --> 00:34:12,920 Speaker 3: we love having on the show is the breadth of 711 00:34:12,920 --> 00:34:15,640 Speaker 3: analysis you do across so many of the tech pays 712 00:34:15,680 --> 00:34:16,400 Speaker 3: and entertainment. 713 00:34:16,600 --> 00:34:19,360 Speaker 4: I'm interested is to you know who is winning the. 714 00:34:19,440 --> 00:34:22,200 Speaker 3: Charge of any of the actual device makers or operating 715 00:34:22,239 --> 00:34:23,120 Speaker 3: system providers. 716 00:34:23,160 --> 00:34:25,640 Speaker 4: I mean, is alphabet doing any better with the Google offering? 717 00:34:25,920 --> 00:34:26,640 Speaker 4: The only thing. 718 00:34:26,480 --> 00:34:30,839 Speaker 12: That's strategic position for Google. Alphabet is better because they 719 00:34:30,880 --> 00:34:33,920 Speaker 12: have Cloud, so they get it cheaper because they own it. 720 00:34:34,160 --> 00:34:37,480 Speaker 12: They have Android, which is the direct competitor to iOS. 721 00:34:37,719 --> 00:34:40,120 Speaker 12: They have an ad driven business, which in search, which 722 00:34:40,160 --> 00:34:41,839 Speaker 12: means you have a lot of first party data. They 723 00:34:41,840 --> 00:34:44,080 Speaker 12: have YouTube in the world's moving to video. As we know, 724 00:34:44,239 --> 00:34:46,759 Speaker 12: YouTube is the number one streamer and makes a lot 725 00:34:46,800 --> 00:34:49,799 Speaker 12: of money now. It's the largest subscription streaming service as 726 00:34:49,800 --> 00:34:52,360 Speaker 12: well as the largest ad driven service, which gives them 727 00:34:52,400 --> 00:34:55,520 Speaker 12: first party data. So it feels like their strategic position 728 00:34:55,760 --> 00:34:58,600 Speaker 12: is a lot better. Even if they're sort of inferior 729 00:34:58,719 --> 00:35:01,040 Speaker 12: at every one of those things, they the fact they 730 00:35:01,080 --> 00:35:05,239 Speaker 12: do them all gives them really strong, better data on 731 00:35:05,280 --> 00:35:07,759 Speaker 12: you and also more ways to make money from you. 732 00:35:08,480 --> 00:35:11,000 Speaker 12: And they don't feel like they're strategically in a box. 733 00:35:11,120 --> 00:35:13,480 Speaker 12: Apple feels to me like it's strategically in a box. 734 00:35:13,520 --> 00:35:17,160 Speaker 12: It can't participate in Jenerator AI except for through it's 735 00:35:17,200 --> 00:35:21,160 Speaker 12: a million of billion five users, and that isn't really 736 00:35:21,160 --> 00:35:23,239 Speaker 12: true of Google. It feels like it's going to participate 737 00:35:23,440 --> 00:35:26,359 Speaker 12: across the globe and it's three billion users a day 738 00:35:26,600 --> 00:35:27,880 Speaker 12: that come in for search. 739 00:35:28,440 --> 00:35:30,120 Speaker 4: Such great context. 740 00:35:30,320 --> 00:35:32,799 Speaker 3: Laura Martin, thank you for joining us, senior Entertainment and 741 00:35:32,880 --> 00:35:35,759 Speaker 3: Internet Internet analyst over at Needham and Co. Didn't even 742 00:35:35,760 --> 00:35:38,560 Speaker 3: get onto paramount with her. Next time we were coming up, 743 00:35:38,680 --> 00:35:41,600 Speaker 3: Masha Boucher's Day one Ventures announces it's biggest fun yet. 744 00:35:42,080 --> 00:35:45,120 Speaker 4: We're backing from nine female limited partners. We sit down 745 00:35:45,120 --> 00:35:45,359 Speaker 4: with her. 746 00:35:46,120 --> 00:35:48,000 Speaker 3: I mean, well, let's just look at what's happening on 747 00:35:48,000 --> 00:35:51,760 Speaker 3: the stock market elsewhere. Spotify up a percentage point. Now 748 00:35:51,880 --> 00:35:54,320 Speaker 3: we're understanding here at Bloomberg. But the company will introduce 749 00:35:54,360 --> 00:35:57,520 Speaker 3: a new higher price premium plan for some of its 750 00:35:57,600 --> 00:35:59,399 Speaker 3: users later this year. The plan is going to cost 751 00:35:59,400 --> 00:36:02,279 Speaker 3: at least five dollars more per month, but it's going 752 00:36:02,320 --> 00:36:05,600 Speaker 3: to include access to high fidelity audio, to new playlisting tools. 753 00:36:05,800 --> 00:36:06,960 Speaker 4: If you're an addict, you're gonna want it. 754 00:36:07,000 --> 00:36:32,520 Speaker 3: Apparently from New York, this will been my technology. 755 00:36:22,600 --> 00:36:23,120 Speaker 4: At this stage. 756 00:36:23,200 --> 00:36:25,719 Speaker 3: VC firm Day one Ventures has announced it's raised one 757 00:36:25,760 --> 00:36:28,359 Speaker 3: hundred and fifty million dollars for its latest fun Fun 758 00:36:28,440 --> 00:36:31,880 Speaker 3: three joining us now Masha Buche, founder general partner at 759 00:36:31,960 --> 00:36:34,120 Speaker 3: Day one Ventures, and it is the biggest haul of 760 00:36:34,120 --> 00:36:36,759 Speaker 3: money thus far and some interesting LPs talk to us 761 00:36:36,760 --> 00:36:37,880 Speaker 3: about how you brought them together. 762 00:36:38,560 --> 00:36:41,200 Speaker 13: Hi, I think lots of nice to be here, and 763 00:36:41,239 --> 00:36:43,520 Speaker 13: I think a lot of that of what we have 764 00:36:43,600 --> 00:36:47,200 Speaker 13: accomplished this because of the great work of the founders 765 00:36:47,200 --> 00:36:49,920 Speaker 13: that we've had a luck investing in and working together with. 766 00:36:50,440 --> 00:36:53,480 Speaker 3: So interestingly, some of those founders are now your investors. 767 00:36:53,680 --> 00:36:56,800 Speaker 3: How many of your original portfolio companies from initial funds 768 00:36:57,080 --> 00:36:58,520 Speaker 3: have put money in you now? 769 00:36:59,719 --> 00:37:02,080 Speaker 13: We were likely to be backed by a few dozens 770 00:37:02,120 --> 00:37:07,040 Speaker 13: of founders, including ten Unicorn founders, and including fourteen founders 771 00:37:07,080 --> 00:37:09,840 Speaker 13: that were previously backed, which is beautiful to see because 772 00:37:10,120 --> 00:37:13,240 Speaker 13: it just approves that we, on the one hand, partnered 773 00:37:13,320 --> 00:37:17,640 Speaker 13: with very successful and promising entrepreneurs who became successful financially 774 00:37:17,880 --> 00:37:18,319 Speaker 13: so they. 775 00:37:18,239 --> 00:37:19,759 Speaker 4: Can afford to be backing the fund. 776 00:37:20,040 --> 00:37:21,960 Speaker 13: And on the other hand, it's also proved that we 777 00:37:21,960 --> 00:37:25,120 Speaker 13: were able to build this partnerships that's like were like 778 00:37:25,160 --> 00:37:27,360 Speaker 13: a very strong bond and they were happy with the 779 00:37:27,400 --> 00:37:29,360 Speaker 13: experience they got as founders. 780 00:37:29,520 --> 00:37:30,960 Speaker 4: Yeah, let's talk about the partnership. 781 00:37:30,960 --> 00:37:34,719 Speaker 3: Because you got an interesting route into venture funding, and 782 00:37:35,200 --> 00:37:38,279 Speaker 3: initially you built a public relations company. You help these 783 00:37:38,360 --> 00:37:42,200 Speaker 3: founders tell their stories, and did that allow you therefore 784 00:37:42,239 --> 00:37:45,640 Speaker 3: to get access to early opportunities to invest and you 785 00:37:45,680 --> 00:37:46,160 Speaker 3: built from that. 786 00:37:46,719 --> 00:37:49,720 Speaker 13: Yeah, I think what started I started, like I started 787 00:37:49,719 --> 00:37:53,239 Speaker 13: two companies before. In previous company was PR Studios that 788 00:37:53,440 --> 00:37:57,000 Speaker 13: I created, and we're out of thirty customers that I 789 00:37:57,080 --> 00:38:00,439 Speaker 13: took out of a few hundreds, ten became you Courns 790 00:38:00,440 --> 00:38:03,279 Speaker 13: in twenty seventeen. And it just brought me to understanding 791 00:38:03,320 --> 00:38:07,120 Speaker 13: that lots of companies im betting on as a PR 792 00:38:07,560 --> 00:38:10,719 Speaker 13: as a publicist of becoming successful. So I pivoted and 793 00:38:10,800 --> 00:38:13,520 Speaker 13: change your Investor, which also like went very well, and 794 00:38:13,560 --> 00:38:16,080 Speaker 13: I had a lot of exits and few unicorns, and 795 00:38:16,200 --> 00:38:19,000 Speaker 13: that enabled me to get experience to be able to 796 00:38:19,200 --> 00:38:21,600 Speaker 13: create new funds in twenty eighteen. 797 00:38:22,360 --> 00:38:23,800 Speaker 4: So that's how it happened. 798 00:38:23,840 --> 00:38:27,000 Speaker 13: But speaking about communication, I think if you look at 799 00:38:27,040 --> 00:38:29,799 Speaker 13: like any business problems that you want to solve, and 800 00:38:29,960 --> 00:38:32,000 Speaker 13: any business goal or task you want to solve, I 801 00:38:32,000 --> 00:38:36,440 Speaker 13: think ninety percent of business problems they actually communications problems. 802 00:38:36,520 --> 00:38:39,480 Speaker 13: And I think this is something that we train founders 803 00:38:39,520 --> 00:38:41,439 Speaker 13: to solve, and this is something that we help them 804 00:38:41,760 --> 00:38:43,000 Speaker 13: to do. 805 00:38:43,880 --> 00:38:45,160 Speaker 4: For video includes well. 806 00:38:45,200 --> 00:38:47,680 Speaker 3: Coin of course, the Cryptoi startup that was in some 807 00:38:47,719 --> 00:38:50,440 Speaker 3: ways co founded by Sam Altman. You've also got do 808 00:38:50,520 --> 00:38:53,680 Speaker 3: not Pay, You've got you dot Com. It's interesting that 809 00:38:53,719 --> 00:38:56,960 Speaker 3: these little male founders, but you focused on female LPs 810 00:38:57,000 --> 00:38:59,239 Speaker 3: to a certain extent. How many female founders do you 811 00:38:59,280 --> 00:39:00,319 Speaker 3: have within your full vido? 812 00:39:01,239 --> 00:39:05,239 Speaker 13: We are likely to beck over forty female founders, that's 813 00:39:05,400 --> 00:39:08,319 Speaker 13: our portfolio. I was also very proud that was Fund three, 814 00:39:08,360 --> 00:39:12,360 Speaker 13: we were able to bring nine female limited partners because 815 00:39:12,600 --> 00:39:15,160 Speaker 13: funds you had no limited partners and for Funds three, 816 00:39:15,200 --> 00:39:17,880 Speaker 13: I really had a big goal and North start to 817 00:39:17,920 --> 00:39:21,200 Speaker 13: be able to find their few female alps and quit 818 00:39:21,280 --> 00:39:24,080 Speaker 13: proud that we were able to find nine very successful, 819 00:39:24,280 --> 00:39:27,240 Speaker 13: mostly female interrepreneurs that decided to beg this fund. 820 00:39:27,840 --> 00:39:30,880 Speaker 3: We'll bring them on Masha Bucha. It's a really interesting story. 821 00:39:30,920 --> 00:39:32,719 Speaker 3: Biggest fun today, one hundred fifty million. 822 00:39:32,760 --> 00:39:33,560 Speaker 4: We thank you so much. 823 00:39:33,640 --> 00:39:43,960 Speaker 3: Day one Ventures, thanks for stopping Divide the studio. We 824 00:39:44,080 --> 00:39:46,680 Speaker 3: just want to return to that breaking news regarding the 825 00:39:46,719 --> 00:39:51,840 Speaker 3: Biden administration potentially considering further restrictions yet further on China's 826 00:39:51,840 --> 00:39:55,080 Speaker 3: access to chip technology use for artificial intelligence, that targetting 827 00:39:55,120 --> 00:39:59,200 Speaker 3: new hardware that's now only making its way very slowly 828 00:39:59,239 --> 00:40:02,400 Speaker 3: into the market, DEAA Gate all around, it's basically the 829 00:40:02,400 --> 00:40:06,080 Speaker 3: most cutting edge chip architecture that really at the moment 830 00:40:06,120 --> 00:40:08,719 Speaker 3: we're seeing semiconductive companies just starting to adopt and make 831 00:40:08,760 --> 00:40:11,120 Speaker 3: them more powerful. But this could be affecting the likes 832 00:40:11,120 --> 00:40:13,920 Speaker 3: of Nvidia in particular. We're seeing pressure on some of 833 00:40:13,920 --> 00:40:18,080 Speaker 3: these stocks. More broadly, let's talk about the ecosystem of 834 00:40:18,160 --> 00:40:21,880 Speaker 3: technology with Law Negier. It's an analyst portfolio manager of 835 00:40:21,920 --> 00:40:24,640 Speaker 3: at Comngest that's a boutique asset management group that's more 836 00:40:24,680 --> 00:40:27,239 Speaker 3: than thirty two billion dollars in assets under management and. 837 00:40:27,560 --> 00:40:30,240 Speaker 4: Some big great bets on some key. 838 00:40:30,040 --> 00:40:33,800 Speaker 3: Companies within the mag seven and more broadly, are you 839 00:40:33,840 --> 00:40:36,640 Speaker 3: anticipating yet more geopolitics to interfere with some of the 840 00:40:36,640 --> 00:40:38,000 Speaker 3: investing landscape here. 841 00:40:38,160 --> 00:40:38,719 Speaker 4: Yes, we do. 842 00:40:38,880 --> 00:40:41,759 Speaker 14: I mean we think it will affect sentiment. Now there 843 00:40:41,800 --> 00:40:45,080 Speaker 14: will be disentangling of sentiment and then hard reality and 844 00:40:45,120 --> 00:40:47,239 Speaker 14: the p and ls. But yes, we think geopolitics and 845 00:40:47,280 --> 00:40:49,080 Speaker 14: the impact on this sector is here to stay. 846 00:40:49,280 --> 00:40:51,520 Speaker 3: What's interesting is thus far in Video, even though it's 847 00:40:51,520 --> 00:40:54,759 Speaker 3: sold into China, significantly has not been buffeted around too 848 00:40:54,800 --> 00:40:57,000 Speaker 3: much in terms of its market capitalization because of this, 849 00:40:57,320 --> 00:41:00,120 Speaker 3: because they've had a bigger demand coming from the US 850 00:41:00,239 --> 00:41:04,680 Speaker 3: and well Western economies. Is that going to counterbalance? Is 851 00:41:04,680 --> 00:41:06,960 Speaker 3: that going to be enough to sustain these heavy valuations? 852 00:41:08,200 --> 00:41:11,319 Speaker 14: Tough one, but certainly you know the demand is very 853 00:41:11,480 --> 00:41:15,359 Speaker 14: very strong and projected to outstrip supply for a good 854 00:41:15,440 --> 00:41:15,879 Speaker 14: long while. 855 00:41:15,920 --> 00:41:19,200 Speaker 3: Yet TSMC, for example, I believe is one of the 856 00:41:19,280 --> 00:41:22,400 Speaker 3: key bets and beneficiaries you've called out in artificial intelligence? 857 00:41:22,640 --> 00:41:23,960 Speaker 4: Why those particular names. 858 00:41:23,960 --> 00:41:27,080 Speaker 3: Where are we seeing the money flow when it comes 859 00:41:27,120 --> 00:41:30,000 Speaker 3: to picks and shovels than into the application of AI. 860 00:41:30,320 --> 00:41:34,880 Speaker 14: Yeah, And when you think of Nvidia and then everything 861 00:41:35,000 --> 00:41:38,480 Speaker 14: that supplies into it, there's TSMC. Well, nvidia' is a 862 00:41:38,520 --> 00:41:41,680 Speaker 14: TSMC customer, then there's the suppliers to TSMC. 863 00:41:42,040 --> 00:41:43,640 Speaker 4: So there's very direct. 864 00:41:43,239 --> 00:41:45,200 Speaker 14: Plays in the sector, and then there's more and more 865 00:41:45,200 --> 00:41:48,279 Speaker 14: indirect place. And it's quite fun to be thinking not 866 00:41:48,360 --> 00:41:51,000 Speaker 14: just about those direct plays, but some of the indirect plays. 867 00:41:50,800 --> 00:41:53,160 Speaker 4: As yeah, has the other has a video got too crowded? 868 00:41:53,200 --> 00:41:55,839 Speaker 3: Have you felt that people aren't looking more broadly at 869 00:41:55,840 --> 00:41:57,720 Speaker 3: this overall ecosystem? 870 00:41:57,880 --> 00:41:58,600 Speaker 14: Well, it's hard to say. 871 00:41:58,640 --> 00:41:59,600 Speaker 4: Nvidia is not known. 872 00:42:00,239 --> 00:42:04,040 Speaker 14: So starting from that place, we like to think who's 873 00:42:04,120 --> 00:42:06,799 Speaker 14: supplying to them, who's a client of theirs, How can 874 00:42:06,840 --> 00:42:08,040 Speaker 14: we play this a bit differently. 875 00:42:08,080 --> 00:42:10,200 Speaker 4: Perhaps where else can you play it differently? 876 00:42:10,280 --> 00:42:13,120 Speaker 3: Because I know that we're thinking of Apple trying to 877 00:42:13,120 --> 00:42:15,600 Speaker 3: play catch up when it comes to application and use 878 00:42:15,760 --> 00:42:18,560 Speaker 3: real use case of ltificial intelligence by you and I 879 00:42:18,600 --> 00:42:21,640 Speaker 3: in a consumer way, But how is it being adopted 880 00:42:21,640 --> 00:42:23,480 Speaker 3: elsewhere and which companies are going to benefit? 881 00:42:23,920 --> 00:42:27,360 Speaker 14: So there's a supplier to TSMC that makes the EUV, 882 00:42:27,719 --> 00:42:31,879 Speaker 14: the extreme ultraviolet lithography equipment called ASML, which has become 883 00:42:31,960 --> 00:42:34,359 Speaker 14: quite well known, but just a few years ago was not. 884 00:42:35,440 --> 00:42:39,240 Speaker 14: There are companies like Hoya and Shinetsu Chemical and Japan. 885 00:42:39,840 --> 00:42:43,200 Speaker 14: They make Hoya makes the mask blanks that are used 886 00:42:43,239 --> 00:42:49,280 Speaker 14: to design the semiconductor circuits onto the wafers, and Shinetsu 887 00:42:49,360 --> 00:42:52,400 Speaker 14: Chemical is a leader in the wafer space. So those 888 00:42:52,480 --> 00:42:54,440 Speaker 14: tend to be a little bit less well known, and 889 00:42:54,520 --> 00:42:57,640 Speaker 14: yet they're very present in the supply chain and great beneficiaries. 890 00:42:57,719 --> 00:42:58,520 Speaker 4: Got to get global. 891 00:42:59,040 --> 00:43:01,400 Speaker 3: Have you got to trade and actively trade this market 892 00:43:01,600 --> 00:43:04,560 Speaker 3: or you just sit and wait for valuations to rise. 893 00:43:04,760 --> 00:43:06,880 Speaker 14: We think this has been a great buy and hold 894 00:43:07,000 --> 00:43:11,400 Speaker 14: space because you know, right now sentiment is very very buoyant, 895 00:43:11,680 --> 00:43:15,520 Speaker 14: but look back two three years ago, everyone was extremely depressed. 896 00:43:16,160 --> 00:43:18,719 Speaker 14: The geopolitics were weighing very heavily. So it's actually a 897 00:43:18,719 --> 00:43:21,000 Speaker 14: wonderful space to be a long term buy and hold 898 00:43:21,360 --> 00:43:25,000 Speaker 14: investor with the ability when you're brave to buy more 899 00:43:25,160 --> 00:43:26,239 Speaker 14: when the sentiment's down. 900 00:43:26,440 --> 00:43:27,520 Speaker 4: You're buying mil right now. 901 00:43:28,160 --> 00:43:31,000 Speaker 3: Hah, you just said sentiment results, so I suppose not. 902 00:43:32,320 --> 00:43:33,919 Speaker 4: It's great to have you here. Come back. 903 00:43:33,960 --> 00:43:37,200 Speaker 3: I know you're passing through New York, Lord Nejia talking 904 00:43:37,280 --> 00:43:40,239 Speaker 3: all things tech. Comeest analyst and portfolio manager. Meanwhile, that 905 00:43:40,280 --> 00:43:42,040 Speaker 3: does it for this edition of Blue Meg Technology. Do 906 00:43:42,080 --> 00:43:44,239 Speaker 3: not forget to check out our podcast. Provide it on 907 00:43:44,239 --> 00:43:46,880 Speaker 3: the terminal as well as online on Apple, Spotify, and 908 00:43:46,960 --> 00:43:48,840 Speaker 3: iHeart as a Blue meag Technology