1 00:00:01,480 --> 00:00:02,200 Speaker 1: From Marhart. 2 00:00:02,360 --> 00:00:06,760 Speaker 2: We're Innovation, Money and Power Collne in Silicon Valley, NBN. 3 00:00:07,120 --> 00:00:11,160 Speaker 1: This is Bloomberg Technology with Caroline Hyde and Ed Love Love. 4 00:00:25,200 --> 00:00:27,639 Speaker 3: I'm Caroline Hyde at Bloomberg's World headquarters in New. 5 00:00:27,600 --> 00:00:30,520 Speaker 4: York, and I'm Ed Lovelow in San Francisco. This is 6 00:00:30,560 --> 00:00:31,600 Speaker 4: Bloomberg Technology. 7 00:00:31,680 --> 00:00:35,000 Speaker 3: Coming up, Amazon, Meta, Apple all out with their latest earnings. 8 00:00:35,000 --> 00:00:37,440 Speaker 3: We'll dig into the latest results from Big Tech. 9 00:00:37,960 --> 00:00:41,320 Speaker 4: Plus Vision pro hits stores. We'll take a closer look 10 00:00:41,440 --> 00:00:43,960 Speaker 4: at Apple's latest bet on the future. 11 00:00:44,080 --> 00:00:47,680 Speaker 3: And an exclusive interview with the Nvidia CEO where he 12 00:00:47,760 --> 00:00:51,400 Speaker 3: sees the biggest benefit from the AI boom. But first, 13 00:00:51,760 --> 00:00:54,600 Speaker 3: let's get straight to some of these big moves. When 14 00:00:54,640 --> 00:00:56,960 Speaker 3: it comes to tech ed and we are record highs. 15 00:00:56,960 --> 00:00:59,000 Speaker 3: When it comes to Meta, extraordinary. 16 00:00:59,160 --> 00:01:02,840 Speaker 4: Yeah, record high Meta. There's like a comparing contrast here. Apple. 17 00:01:03,080 --> 00:01:05,640 Speaker 4: I kind of think it's the story we expected. They 18 00:01:05,680 --> 00:01:09,080 Speaker 4: did grow overall in the quarter, gone just just and 19 00:01:09,120 --> 00:01:12,800 Speaker 4: they avoided five straight quarters of sales decline. But the 20 00:01:12,840 --> 00:01:15,880 Speaker 4: stock is down significantly back to where it traded in November. 21 00:01:15,959 --> 00:01:19,640 Speaker 4: Why Greater China sales and Greater China missing by like 22 00:01:19,760 --> 00:01:22,959 Speaker 4: three billion dollars. But the narrative on the call. Yeah, 23 00:01:23,000 --> 00:01:25,199 Speaker 4: we are four of the top six handsets in urban 24 00:01:25,280 --> 00:01:28,639 Speaker 4: China in congruous messaging. We'll dig deep into the gross 25 00:01:28,640 --> 00:01:31,200 Speaker 4: story for this stock, and then there is meta, right 26 00:01:31,280 --> 00:01:35,319 Speaker 4: meta to me, is the story today? Probably we're on 27 00:01:35,360 --> 00:01:37,520 Speaker 4: track for the biggest jump since February of last year. 28 00:01:37,640 --> 00:01:40,760 Speaker 4: The stock is touching fresh record highs. Is this an 29 00:01:40,800 --> 00:01:44,600 Speaker 4: AI story or is this a cyclical rebound in ads? 30 00:01:44,840 --> 00:01:49,640 Speaker 4: Either way, one year ago we lamented the spending cash 31 00:01:49,680 --> 00:01:53,640 Speaker 4: burn from Facebook reality labs on the metaverse, But one 32 00:01:53,720 --> 00:01:56,560 Speaker 4: year ago we also said, Okay, your efficiency is here. 33 00:01:56,840 --> 00:01:59,560 Speaker 4: This is good. They're back to hiring, and he's thrown 34 00:01:59,600 --> 00:02:02,920 Speaker 4: in an additional fifty billion dollar buyback and a divvy 35 00:02:03,200 --> 00:02:04,680 Speaker 4: and it's a wonder what it can do for the 36 00:02:04,680 --> 00:02:05,480 Speaker 4: stock character. 37 00:02:05,840 --> 00:02:07,360 Speaker 1: Funnily enough, investors like it. 38 00:02:07,880 --> 00:02:10,120 Speaker 3: And let's dig into the meta earnings and really what 39 00:02:10,120 --> 00:02:12,640 Speaker 3: it says about cost discipline. Jusmin Enburg is with us 40 00:02:12,639 --> 00:02:15,280 Speaker 3: some piece of say principle analyst insider intelligence, where you 41 00:02:15,400 --> 00:02:18,320 Speaker 3: lead the coverage to social media the creator economy. And 42 00:02:18,400 --> 00:02:20,320 Speaker 3: before we get into some of the juiciness for the 43 00:02:20,320 --> 00:02:22,240 Speaker 3: investor base, what do you make of the out and 44 00:02:22,280 --> 00:02:25,160 Speaker 3: out numbers? Of revenue growth at this particular moment. 45 00:02:26,480 --> 00:02:29,480 Speaker 5: Yeah, well, it's clear that Meta's year of efficiency has 46 00:02:29,520 --> 00:02:32,440 Speaker 5: really paid off. Many of the measures that it took 47 00:02:32,560 --> 00:02:36,880 Speaker 5: last year helped it reduce its cost, it reduced its headcount, 48 00:02:37,000 --> 00:02:40,200 Speaker 5: and even with this leaner team and operations, it was 49 00:02:40,240 --> 00:02:44,840 Speaker 5: really able to exceed expectations really across the board, and 50 00:02:44,919 --> 00:02:47,600 Speaker 5: importantly of course, in its core line of business, which 51 00:02:47,680 --> 00:02:51,760 Speaker 5: is advertising. And to me, this is really a testament 52 00:02:51,840 --> 00:02:56,040 Speaker 5: to Meta's execution power. If you look across the social landscape, 53 00:02:56,040 --> 00:02:59,560 Speaker 5: it isn't the coolest or the most exciting social player 54 00:02:59,600 --> 00:03:02,760 Speaker 5: out there, but it is the most sophisticated and it 55 00:03:02,840 --> 00:03:06,000 Speaker 5: knows how to drive business and advertisers really like that. 56 00:03:06,360 --> 00:03:09,760 Speaker 3: Yeah, they were investing in the underlying advertising technology to 57 00:03:09,760 --> 00:03:12,040 Speaker 3: better serve their clients. But what do you make of 58 00:03:12,120 --> 00:03:15,359 Speaker 3: also the talk generative AI. The larmer has become basically 59 00:03:15,760 --> 00:03:19,760 Speaker 3: the giveaway when you go to AI events. So much 60 00:03:19,800 --> 00:03:22,239 Speaker 3: of that is a course based on their large language model, 61 00:03:22,280 --> 00:03:24,760 Speaker 3: But what does it do in terms of future revenues? Jasmine? 62 00:03:25,960 --> 00:03:28,720 Speaker 5: Look, Meta wants to be an AI heavy hitter, and 63 00:03:28,760 --> 00:03:31,120 Speaker 5: it is working hard and investing in AI to be 64 00:03:31,160 --> 00:03:31,880 Speaker 5: able to do that. 65 00:03:32,040 --> 00:03:34,760 Speaker 1: On the earnings call. Just in the prepared remarks, you. 66 00:03:34,720 --> 00:03:38,640 Speaker 5: Heard executives mention the word AI about fifty times, which 67 00:03:38,680 --> 00:03:41,480 Speaker 5: really shows how much they're trying to emphasize their work 68 00:03:41,520 --> 00:03:43,520 Speaker 5: there as well as how much they truly. 69 00:03:43,280 --> 00:03:44,120 Speaker 1: Are working there. 70 00:03:44,560 --> 00:03:47,600 Speaker 5: And It's AI investments have already proved to have a 71 00:03:47,640 --> 00:03:50,160 Speaker 5: positive impact on its ad business. 72 00:03:50,200 --> 00:03:53,960 Speaker 1: They talked a lot about its automated. 73 00:03:53,440 --> 00:03:57,400 Speaker 5: Tools and AI driven ad formats really driving performance. And 74 00:03:57,800 --> 00:04:00,880 Speaker 5: at the end of the day, advertisers they want efficiency 75 00:04:01,000 --> 00:04:05,200 Speaker 5: and they want effectiveness, and those investments have really paid 76 00:04:05,240 --> 00:04:08,200 Speaker 5: off there and that bodes well for its broader ambitions 77 00:04:08,240 --> 00:04:10,320 Speaker 5: in AI as well. 78 00:04:10,360 --> 00:04:13,440 Speaker 4: I think what we're understanding Jasmine is the relationship between 79 00:04:13,480 --> 00:04:17,720 Speaker 4: the ad business ANAI now right, and so Bloomberg writes 80 00:04:17,760 --> 00:04:21,120 Speaker 4: in the blog, Meta is still the king of digital advertising, 81 00:04:21,400 --> 00:04:23,760 Speaker 4: but what they point out is that the boost is 82 00:04:23,800 --> 00:04:28,919 Speaker 4: coming from China based companies on spending in its association 83 00:04:29,480 --> 00:04:34,359 Speaker 4: with AI generated content. Do you understand that relationship and 84 00:04:34,400 --> 00:04:38,360 Speaker 4: how AI is basically growing interest in its ad. 85 00:04:38,160 --> 00:04:42,920 Speaker 5: Base absolutely, I mean AI of course is growing interest 86 00:04:42,960 --> 00:04:45,920 Speaker 5: in its ad base and generative AI in terms of 87 00:04:46,000 --> 00:04:49,400 Speaker 5: the creative tools that Meta is also rolling out for advertisers, 88 00:04:49,400 --> 00:04:52,280 Speaker 5: will do a lot to prove that. I mean, the 89 00:04:52,360 --> 00:04:56,920 Speaker 5: China based advertisers is a potential risk factor, though I 90 00:04:57,040 --> 00:05:00,599 Speaker 5: wouldn't say it's necessarily the biggest one, because they have 91 00:05:00,720 --> 00:05:03,800 Speaker 5: been buoying spending as well throughout twenty twenty three. 92 00:05:05,720 --> 00:05:08,000 Speaker 4: Later in the program, we're going to go very deep 93 00:05:08,040 --> 00:05:11,160 Speaker 4: on Apple's vision pro and it makes you think about 94 00:05:11,160 --> 00:05:14,240 Speaker 4: the metaquest three. You know, it is hard to keep 95 00:05:14,320 --> 00:05:16,960 Speaker 4: up with meta We were a social media company and 96 00:05:16,960 --> 00:05:19,080 Speaker 4: then we were a metaverse company, but it was expensive, 97 00:05:19,120 --> 00:05:21,480 Speaker 4: so we stopped. And now we're in an AI company. 98 00:05:21,960 --> 00:05:24,960 Speaker 4: Did you get any sense of like where the hardware 99 00:05:25,080 --> 00:05:27,840 Speaker 4: fits into all of this and if the metaverse dream 100 00:05:27,920 --> 00:05:28,600 Speaker 4: is still alive? 101 00:05:30,040 --> 00:05:32,360 Speaker 1: Well, the metaverse dream is very much still alive. 102 00:05:32,440 --> 00:05:34,960 Speaker 5: They didn't talk about it as much on the earnings 103 00:05:34,960 --> 00:05:37,720 Speaker 5: call yesterday. Again, the focus was really on AI, and 104 00:05:38,040 --> 00:05:40,919 Speaker 5: for me, the big challenge now is for Meta to 105 00:05:41,440 --> 00:05:44,000 Speaker 5: be able to prove that those two big bets, one 106 00:05:44,080 --> 00:05:47,840 Speaker 5: being AI and the other being the metaverse, really are complementary. 107 00:05:48,120 --> 00:05:50,640 Speaker 5: It started to lay some of the foundation for that 108 00:05:50,760 --> 00:05:53,600 Speaker 5: thinking about the ray Bank smart glasses, and you know, 109 00:05:53,880 --> 00:05:57,720 Speaker 5: it talked about good sales for its metaquest in the 110 00:05:57,800 --> 00:06:01,800 Speaker 5: last quarter, so there are some signs of progress there 111 00:06:02,000 --> 00:06:05,040 Speaker 5: still for me, you know, the meta versus is somewhat 112 00:06:05,080 --> 00:06:09,600 Speaker 5: of an ill defined concept, and it's something that you know, 113 00:06:09,920 --> 00:06:15,120 Speaker 5: Meta is going to have to continue to prove as 114 00:06:15,240 --> 00:06:19,599 Speaker 5: it continues to form this vision. It also has to 115 00:06:19,760 --> 00:06:22,080 Speaker 5: store that it can keep up the momentum in its 116 00:06:22,120 --> 00:06:26,080 Speaker 5: advertising business, or investors won't be as willing to overlook 117 00:06:26,120 --> 00:06:29,600 Speaker 5: those losses that continue to mount in reality labs. 118 00:06:29,839 --> 00:06:33,560 Speaker 3: Interestingly, maybe Apple's vision pro serves as some boost to 119 00:06:33,680 --> 00:06:36,760 Speaker 3: sales to Meta going forward as they help with outlining 120 00:06:36,800 --> 00:06:39,559 Speaker 3: the vision. Jasmine, I'm interested though you said that China, 121 00:06:39,600 --> 00:06:42,280 Speaker 3: for example, isn't the biggest risk for you. What is 122 00:06:42,720 --> 00:06:44,240 Speaker 3: the biggest risk? Is it regulation? 123 00:06:45,880 --> 00:06:46,920 Speaker 1: It's certainly one of them. 124 00:06:46,960 --> 00:06:49,880 Speaker 5: I mean, just this week as well, CEO Mark Zuckerberg 125 00:06:50,000 --> 00:06:53,880 Speaker 5: testified in front of Congress about protecting children online. That 126 00:06:54,000 --> 00:06:57,640 Speaker 5: was a really heated conversation and it's clearly going to be. 127 00:06:57,600 --> 00:06:59,560 Speaker 1: One of their biggest challenges this year. 128 00:07:00,200 --> 00:07:03,960 Speaker 5: Teen popularity has become, you know, somewhat of a liability, 129 00:07:03,960 --> 00:07:06,839 Speaker 5: at least in the eyes of lawmakers, but young people 130 00:07:06,880 --> 00:07:11,679 Speaker 5: also represent Facebook and Instagram's largest or one of their largest, 131 00:07:11,720 --> 00:07:13,280 Speaker 5: really opportunities for growth. 132 00:07:13,280 --> 00:07:16,160 Speaker 1: And it's going to have to walk a really fine line. 133 00:07:15,960 --> 00:07:18,960 Speaker 5: In terms of protecting their safety on these platforms and 134 00:07:19,120 --> 00:07:21,800 Speaker 5: generating revenue. There's also, of course a lot of other 135 00:07:21,880 --> 00:07:25,720 Speaker 5: regulated regulation that Meta has to think about, both here 136 00:07:25,760 --> 00:07:27,440 Speaker 5: in the US and in the EU. 137 00:07:27,600 --> 00:07:29,640 Speaker 1: And then there's the digital ad market. 138 00:07:29,720 --> 00:07:29,920 Speaker 6: You know. 139 00:07:30,040 --> 00:07:34,560 Speaker 5: I think Meta was able to allay some concerns already 140 00:07:34,680 --> 00:07:38,320 Speaker 5: in the earnings call yesterday, but it is susceptible to 141 00:07:38,640 --> 00:07:44,200 Speaker 5: fluctuations in the economy that really can impact advertiser demand. 142 00:07:45,400 --> 00:07:48,480 Speaker 4: Jasmine Mberg, principal analysts over in Insider Intelligence, with the 143 00:07:48,520 --> 00:07:50,960 Speaker 4: Meta story, thank you very much. Let's get to the 144 00:07:51,000 --> 00:07:54,160 Speaker 4: Apple story and Apple earnings with Dani's, senior analysts of 145 00:07:54,200 --> 00:07:57,480 Speaker 4: equity research at web Bush Securities, Danish real quick. The 146 00:07:57,560 --> 00:08:00,720 Speaker 4: stock is pairing its decline were now six tenths of 147 00:08:00,800 --> 00:08:04,720 Speaker 4: a percent. We had been down significantly more. What is 148 00:08:04,760 --> 00:08:08,120 Speaker 4: the story? A return to growth overall or China is 149 00:08:08,120 --> 00:08:09,920 Speaker 4: a problem. 150 00:08:10,080 --> 00:08:13,760 Speaker 7: Yeah, I mean the streets reading through this is iPhone 151 00:08:13,840 --> 00:08:19,320 Speaker 7: growths coming back next quarter is essentially massively conservative guidance. 152 00:08:20,040 --> 00:08:22,640 Speaker 7: And now you have AI coming into the Apple store, 153 00:08:23,080 --> 00:08:27,400 Speaker 7: so Jo nor One's selling Apple heading into that narrative, 154 00:08:28,360 --> 00:08:30,920 Speaker 7: and in my opinion, this is the start of the 155 00:08:30,960 --> 00:08:32,760 Speaker 7: renaissance of growth or. 156 00:08:32,800 --> 00:08:37,920 Speaker 4: Apple conservative guidance. So I mean go back, like what 157 00:08:38,000 --> 00:08:40,760 Speaker 4: we hang on are the words of Luca Maistreet. Basically 158 00:08:40,840 --> 00:08:43,640 Speaker 4: he said that that December quarter would be essentially flat. 159 00:08:43,920 --> 00:08:47,480 Speaker 4: We ended up with slight growth overall and weakness in China. 160 00:08:48,320 --> 00:08:52,320 Speaker 4: You know, we're not talking about like a big rebound here, Dan, 161 00:08:52,360 --> 00:08:56,520 Speaker 4: We're talking about them staying out of five consecutive quarters 162 00:08:56,520 --> 00:09:00,720 Speaker 4: of growth declines. If there is growth, where does it 163 00:09:00,760 --> 00:09:01,520 Speaker 4: come from. 164 00:09:02,880 --> 00:09:05,880 Speaker 7: What our view is you don't need to have hypergrowth 165 00:09:05,880 --> 00:09:09,040 Speaker 7: and iPhones row to mid single digit iPhone growth is 166 00:09:09,080 --> 00:09:12,280 Speaker 7: really what you need. Services is the key to evaluation 167 00:09:12,480 --> 00:09:15,760 Speaker 7: one point five to one point six trillion. And then 168 00:09:15,800 --> 00:09:18,240 Speaker 7: look at their active in Starblands when they just need 169 00:09:18,240 --> 00:09:22,040 Speaker 7: the update two point two billion. So you now have 170 00:09:22,360 --> 00:09:25,840 Speaker 7: that that golden and stall base and now you're selling 171 00:09:25,880 --> 00:09:29,120 Speaker 7: AI and so that that's a narrative that in my 172 00:09:29,559 --> 00:09:32,040 Speaker 7: investors are just going to continue to sit here and 173 00:09:32,080 --> 00:09:33,000 Speaker 7: buy up the depths. 174 00:09:33,360 --> 00:09:38,440 Speaker 3: So when you're looking at the overall strength of new products, Dan, 175 00:09:38,760 --> 00:09:41,480 Speaker 3: there has been so much hand ringing about the iPhone fifteen, 176 00:09:42,200 --> 00:09:44,120 Speaker 3: then today we're going to talk about it. 177 00:09:44,160 --> 00:09:44,439 Speaker 1: A lot. 178 00:09:44,480 --> 00:09:47,040 Speaker 3: In a moment the Vision Pro goes on sale. How 179 00:09:47,120 --> 00:09:48,600 Speaker 3: much is that in any way going to be a 180 00:09:48,640 --> 00:09:52,160 Speaker 3: catalyst for liking Apple's tech because it was under pressure 181 00:09:52,160 --> 00:09:54,080 Speaker 3: when we started to think about, well, the fact that 182 00:09:54,120 --> 00:09:57,640 Speaker 3: the overall watch was pulled and we questioned ultimately the 183 00:09:57,720 --> 00:09:58,959 Speaker 3: underlying technology of Apple. 184 00:10:00,040 --> 00:10:02,560 Speaker 7: Look, I think, but again again and Apple continues to 185 00:10:02,559 --> 00:10:04,959 Speaker 7: count out. I mean, you will talk more about the 186 00:10:05,040 --> 00:10:07,920 Speaker 7: Vision Pro, but originally we had three hundred thousand units 187 00:10:07,960 --> 00:10:09,760 Speaker 7: for Vision Pro. Now we think for the year it's 188 00:10:09,800 --> 00:10:13,160 Speaker 7: six hundred two thousand and two years from now, I 189 00:10:13,160 --> 00:10:16,439 Speaker 7: think this is a sub fifteen hundred dollar device that's 190 00:10:16,440 --> 00:10:19,280 Speaker 7: going to look like Sunblosh. And it just goes back 191 00:10:19,320 --> 00:10:22,640 Speaker 7: to the form factor and why you own Apple here 192 00:10:23,080 --> 00:10:25,480 Speaker 7: some of the parts. I believe a year from now, 193 00:10:25,559 --> 00:10:28,280 Speaker 7: it's a four trillion dollar market. 194 00:10:28,360 --> 00:10:32,600 Speaker 3: Okay, So give us that catalyst. Give us what is 195 00:10:32,600 --> 00:10:36,240 Speaker 3: it a slow grind, a slow belief, a commitment of investors, 196 00:10:36,559 --> 00:10:39,120 Speaker 3: or is there something that snaps down that makes us 197 00:10:39,160 --> 00:10:41,200 Speaker 3: rebuy and decide to drive the stock back to a 198 00:10:41,240 --> 00:10:43,000 Speaker 3: four trillion Well. 199 00:10:42,920 --> 00:10:45,320 Speaker 7: I think it's the AI app store, we believe starts 200 00:10:45,320 --> 00:10:50,200 Speaker 7: to get talked about it. WWBC in June and then 201 00:10:50,240 --> 00:10:53,520 Speaker 7: iPhone sixteen as well as iPhone seventeen. They're gonna have 202 00:10:53,559 --> 00:10:58,240 Speaker 7: more AI technology, generative AI driven into that. And then 203 00:10:58,280 --> 00:11:00,400 Speaker 7: you look at that install based two point gwo billion. 204 00:11:00,400 --> 00:11:02,640 Speaker 7: There was one hundred million more than we were expecting. 205 00:11:03,400 --> 00:11:06,559 Speaker 7: This is the start of a renaissance of growth. It's 206 00:11:06,679 --> 00:11:09,400 Speaker 7: my view of where Meta was eighteen months ago. Street 207 00:11:09,480 --> 00:11:12,200 Speaker 7: did not realize at the time. I think eighteen months 208 00:11:12,200 --> 00:11:14,960 Speaker 7: from now we worked back at This is a seminal moment. 209 00:11:16,360 --> 00:11:18,319 Speaker 4: Dan, I want to go back to China. I want 210 00:11:18,320 --> 00:11:21,360 Speaker 4: to understand what's happening. This is what Luka Maistreet told 211 00:11:21,440 --> 00:11:25,720 Speaker 4: us that Apple's disappointed with the decline in China, but 212 00:11:25,800 --> 00:11:29,120 Speaker 4: it's a very competitive market. Compare that with what he 213 00:11:29,200 --> 00:11:32,360 Speaker 4: said in his opening remarks on the call. He cited 214 00:11:32,400 --> 00:11:36,880 Speaker 4: that Cantar data that Apple occupies four of the top 215 00:11:36,920 --> 00:11:40,760 Speaker 4: six handset slots in Greater China in the prior quarter. 216 00:11:40,800 --> 00:11:43,600 Speaker 4: They said, this isn't an iPhone problem, this is Mac 217 00:11:43,640 --> 00:11:46,640 Speaker 4: and iPad where we had not had a refresh cycle. 218 00:11:48,280 --> 00:11:51,679 Speaker 4: Explain the contrast in those two statements. 219 00:11:52,920 --> 00:11:57,920 Speaker 7: Yeah, Well, there's definitely not Chimpan and Rosemes in Beijing. 220 00:11:59,200 --> 00:12:02,679 Speaker 7: I mean they're clearly going through a headwinds. Huawe to geopolitical. 221 00:12:03,120 --> 00:12:05,520 Speaker 7: But our view is, you have two hundred million iPhones 222 00:12:05,679 --> 00:12:07,880 Speaker 7: in China and they gained three inchre BIPs of market 223 00:12:07,920 --> 00:12:11,640 Speaker 7: share the last eighteen months. But Apple has been here before. 224 00:12:11,920 --> 00:12:16,040 Speaker 7: They've navigated challenges again and again. So I think when 225 00:12:16,040 --> 00:12:17,800 Speaker 7: you look for you've been able to do and the 226 00:12:17,840 --> 00:12:21,720 Speaker 7: installers they're basically being cautious. But I think we see 227 00:12:21,840 --> 00:12:25,040 Speaker 7: growth second after the year return and we view this 228 00:12:25,120 --> 00:12:27,920 Speaker 7: as more of them navigating headwinds rather than the start 229 00:12:28,400 --> 00:12:30,840 Speaker 7: of some structural problem that the bears have been talking 230 00:12:30,880 --> 00:12:33,720 Speaker 7: about for the last two trillion of marketcap. 231 00:12:33,840 --> 00:12:34,280 Speaker 8: Up con. 232 00:12:35,840 --> 00:12:37,960 Speaker 3: Dan, I's always great to catch up with you. Where 233 00:12:38,000 --> 00:12:40,640 Speaker 3: in the world are you? We don't know. Potentially, it 234 00:12:40,679 --> 00:12:43,360 Speaker 3: looks like an airport at the moment analysts of equity 235 00:12:43,480 --> 00:12:47,360 Speaker 3: research where Bush Securities stay well, friend, have a great weekend. 236 00:12:47,520 --> 00:12:49,040 Speaker 3: If you are coming up, we're going to be breaking 237 00:12:49,080 --> 00:12:51,800 Speaker 3: down the latest numbers from the jobs report. Sylvia and 238 00:12:51,880 --> 00:12:54,040 Speaker 3: Martin shivik Is can be joining our CEO of the 239 00:12:54,080 --> 00:13:05,839 Speaker 3: Workforce Management Platform, Deputy. Let's go back to where these 240 00:13:05,840 --> 00:13:08,319 Speaker 3: markets are training at the moment. In amongst the earnings 241 00:13:08,679 --> 00:13:11,840 Speaker 3: there is a whole load of impact coming from the 242 00:13:11,880 --> 00:13:15,200 Speaker 3: macro picture. Today NASDAK drives higher one point two percent, lead, 243 00:13:15,240 --> 00:13:17,240 Speaker 3: of course, by some mega moves in meta that we 244 00:13:17,240 --> 00:13:19,280 Speaker 3: were just discussing Amazon doing well. We're digging into that 245 00:13:19,280 --> 00:13:22,400 Speaker 3: in a moment. But the ten year yield phenomenal sell 246 00:13:22,440 --> 00:13:24,280 Speaker 3: off eighteen basis points higher on the two year. We're 247 00:13:24,280 --> 00:13:26,520 Speaker 3: seeing significant moves on the tenure as well across the curve. 248 00:13:26,600 --> 00:13:29,680 Speaker 3: Why absolutely blow out report when it comes to the 249 00:13:29,679 --> 00:13:32,760 Speaker 3: overall job surge three undred fifty three thousand in the 250 00:13:32,840 --> 00:13:35,880 Speaker 3: last month. What then, of all the tech layoffs that 251 00:13:35,880 --> 00:13:38,040 Speaker 3: we've been seeing. It seems as though this economy is 252 00:13:38,080 --> 00:13:40,080 Speaker 3: still going strong, and it means the Federal Reserve is 253 00:13:40,160 --> 00:13:42,960 Speaker 3: unlikely to be cutting anytime as soon as March, and 254 00:13:43,000 --> 00:13:46,160 Speaker 3: certainly it's vindicated and holding rates steady. Bitcoin, as I show, 255 00:13:46,160 --> 00:13:48,840 Speaker 3: actually up six cents percent despite the US dollar managing 256 00:13:48,840 --> 00:13:50,800 Speaker 3: to rally on the back of those numbers that make 257 00:13:50,880 --> 00:13:53,880 Speaker 3: macro data as well. But ed, this picture is so 258 00:13:53,960 --> 00:13:56,520 Speaker 3: surprising when you think of our area of technology and 259 00:13:56,600 --> 00:13:59,000 Speaker 3: just the ongoing narrative of job losses. 260 00:14:00,040 --> 00:14:02,040 Speaker 4: I'm just going to read the numbers again, because you're 261 00:14:02,080 --> 00:14:04,240 Speaker 4: exactly right and if you've got X look at the 262 00:14:04,320 --> 00:14:07,520 Speaker 4: number of finn what do we used to call it whatever? 263 00:14:07,559 --> 00:14:09,800 Speaker 4: People that talk about finance on formerly known as Twitter 264 00:14:09,840 --> 00:14:14,160 Speaker 4: platform finish number exactly, but it's a blowout, right, three 265 00:14:14,280 --> 00:14:17,680 Speaker 4: hundred and fifty three thousand jobs added in January, higher 266 00:14:17,720 --> 00:14:21,080 Speaker 4: than all economist estimates. The bulk of the data showing 267 00:14:21,120 --> 00:14:25,440 Speaker 4: more employment, higher pay, and payroll increases across all industries. 268 00:14:25,520 --> 00:14:28,640 Speaker 4: I guess the question where do we sit with technology? 269 00:14:28,680 --> 00:14:31,400 Speaker 4: So let's bring in Sylvia Martinshevik for her take on this. 270 00:14:31,480 --> 00:14:35,120 Speaker 4: She's the CEO of Global Software Platform Deputy, which recently 271 00:14:35,160 --> 00:14:37,760 Speaker 4: put out a report on the change is expected in 272 00:14:37,800 --> 00:14:42,120 Speaker 4: the workforce this year. We're trying to understand what's happening 273 00:14:42,120 --> 00:14:45,360 Speaker 4: in the economy and in the technology sector. There is, 274 00:14:45,480 --> 00:14:50,520 Speaker 4: forgive the pun, but an artificial thing happening with artificial intelligence, 275 00:14:50,800 --> 00:14:54,480 Speaker 4: the muddies the picture of hiring, in particular your reaction 276 00:14:54,600 --> 00:14:56,040 Speaker 4: to that number this morning. 277 00:14:57,840 --> 00:15:01,560 Speaker 6: Good morning, and thank you so much for having me. Yes, 278 00:15:01,720 --> 00:15:06,200 Speaker 6: we are seeing that for the twenty fourth consecutive month, 279 00:15:06,760 --> 00:15:11,120 Speaker 6: the unemployment rate is sub four percent. And yet you know, 280 00:15:11,160 --> 00:15:17,160 Speaker 6: we're hearing so much about AI taking jobs away and 281 00:15:17,440 --> 00:15:21,440 Speaker 6: what we at Deputy obsess about is how will AI 282 00:15:21,640 --> 00:15:25,640 Speaker 6: impact hourly workers? These are the frontline workers, whether they're 283 00:15:25,760 --> 00:15:31,600 Speaker 6: nurses or retail workers. And what we're hearing from hourly workers, 284 00:15:31,640 --> 00:15:34,320 Speaker 6: they themselves are reading the same reports, and you know, 285 00:15:34,360 --> 00:15:37,280 Speaker 6: they believe that AI is going to impact and change 286 00:15:37,320 --> 00:15:41,040 Speaker 6: their jobs and roles. But what we find is that 287 00:15:41,120 --> 00:15:45,440 Speaker 6: in most scenarios, AI is more likely to complement specific 288 00:15:45,480 --> 00:15:48,680 Speaker 6: work tasks rather than replace the workers. 289 00:15:49,120 --> 00:15:50,640 Speaker 1: And really, when you think. 290 00:15:50,440 --> 00:15:53,880 Speaker 6: About the workers that we support at Deputy, whether that 291 00:15:54,160 --> 00:15:58,400 Speaker 6: again are workers and elderly care or hospitality or services, 292 00:15:59,000 --> 00:16:01,920 Speaker 6: we all prefer the human touch in those jobs, and 293 00:16:02,280 --> 00:16:06,040 Speaker 6: those jobs are there's still a lot of lack of 294 00:16:06,120 --> 00:16:07,560 Speaker 6: employees in those jobs. 295 00:16:07,800 --> 00:16:10,160 Speaker 3: And what's interesting about your report as well, humans are 296 00:16:10,160 --> 00:16:13,120 Speaker 3: still cheaper than AI in many of these roles at 297 00:16:13,120 --> 00:16:16,320 Speaker 3: the moment, and well, we're still all testing artificial intelligence, 298 00:16:16,360 --> 00:16:18,840 Speaker 3: whether or not we really get the implication of being 299 00:16:18,840 --> 00:16:22,000 Speaker 3: able to do more with less. But Sylvia, what's really 300 00:16:22,000 --> 00:16:25,400 Speaker 3: interesting this job support was women one hundred and ninety 301 00:16:25,440 --> 00:16:29,640 Speaker 3: eight thousand increase in employment for women, so participation going up, 302 00:16:29,680 --> 00:16:32,080 Speaker 3: making up for a callback in men. And you had 303 00:16:32,080 --> 00:16:34,320 Speaker 3: some interesting thoughts about how much AI is going to 304 00:16:34,320 --> 00:16:36,240 Speaker 3: help or hinder females in the workforce. 305 00:16:37,560 --> 00:16:42,520 Speaker 6: Absolutely, we cannot talk about labor markets without talking about women. 306 00:16:42,960 --> 00:16:47,400 Speaker 6: The constitute over fifty percent of hourly workforce, So this 307 00:16:47,480 --> 00:16:49,200 Speaker 6: is an incredibly important topic. 308 00:16:49,880 --> 00:16:51,200 Speaker 1: And when you think about. 309 00:16:50,920 --> 00:16:54,600 Speaker 6: Historically what were the barriers to women entering workforce, we 310 00:16:54,720 --> 00:16:59,320 Speaker 6: know it's childcare, accessibility, and affordability, and it's also lack 311 00:16:59,360 --> 00:17:02,800 Speaker 6: of predicative But you know, at Deputy we ask what 312 00:17:02,840 --> 00:17:06,600 Speaker 6: do women want from their work and how can technology 313 00:17:06,720 --> 00:17:09,960 Speaker 6: enable that? And what we found is that women want 314 00:17:10,160 --> 00:17:14,159 Speaker 6: more predictability and they want more flexibility when it comes 315 00:17:14,200 --> 00:17:17,920 Speaker 6: to their weekly work schedules. And you know, our mothers 316 00:17:17,920 --> 00:17:21,639 Speaker 6: and grandmothers work nine to five, but women of today 317 00:17:21,760 --> 00:17:24,520 Speaker 6: Gen Z and millennials, they don't want nine to five shifts, 318 00:17:25,040 --> 00:17:29,120 Speaker 6: And so how can technology help that is Actually. 319 00:17:28,680 --> 00:17:31,000 Speaker 1: We believe that it can be a great enabler. 320 00:17:32,200 --> 00:17:36,840 Speaker 6: Micro shifts is one specific trend that we're seeing where 321 00:17:36,880 --> 00:17:39,399 Speaker 6: women work for a couple of hours in the morning, 322 00:17:39,920 --> 00:17:43,439 Speaker 6: then they take care of their kids or their aging parents, 323 00:17:43,840 --> 00:17:45,760 Speaker 6: and then they go back to work and work a 324 00:17:45,760 --> 00:17:50,240 Speaker 6: couple of hours at night. So that micro shift trend 325 00:17:50,440 --> 00:17:53,639 Speaker 6: is something that we believe technology can help. So We 326 00:17:53,760 --> 00:17:57,879 Speaker 6: really do believe that more tech in this space will 327 00:17:57,920 --> 00:18:01,240 Speaker 6: provide more opportunities for women to continue to re enter 328 00:18:01,359 --> 00:18:03,640 Speaker 6: workforce after childbearing. 329 00:18:04,440 --> 00:18:07,520 Speaker 3: Love a bit of optimism around the AI story on 330 00:18:07,560 --> 00:18:10,639 Speaker 3: what felt like a week weather wasn't much. Sylvia mantinshevik me, 331 00:18:10,680 --> 00:18:13,919 Speaker 3: thank you so much, CEO of Deputy. 332 00:18:14,720 --> 00:18:18,040 Speaker 4: It's the official release day for Apple's big bet on 333 00:18:18,160 --> 00:18:20,120 Speaker 4: virtual reality, the Vision Pro. 334 00:18:20,200 --> 00:18:20,680 Speaker 1: Bloomberg. 335 00:18:20,800 --> 00:18:25,040 Speaker 4: Stavely is live from Manhattan outside the flagship Apple's store. 336 00:18:25,960 --> 00:18:28,439 Speaker 4: The doors are open, it's on sale. What have you 337 00:18:28,480 --> 00:18:28,879 Speaker 4: been up to? 338 00:18:32,000 --> 00:18:34,320 Speaker 9: Well, I've been here since about seven o'clock when it 339 00:18:34,400 --> 00:18:36,240 Speaker 9: was slightly warm than it is now, I have to say. 340 00:18:36,440 --> 00:18:39,240 Speaker 9: And at seven there was a healthy line of people 341 00:18:39,720 --> 00:18:42,479 Speaker 9: waiting to head straight in and be some of the 342 00:18:42,480 --> 00:18:45,440 Speaker 9: first to buy this new Vision Pro, which of course 343 00:18:45,480 --> 00:18:48,920 Speaker 9: went on sale today for thirty five hundred dollars. Tim Cook, 344 00:18:48,920 --> 00:18:51,920 Speaker 9: the Apple CEO, has expected. He was here. He opened 345 00:18:51,920 --> 00:18:55,040 Speaker 9: the store, came out, greeted everyone said thanks very much, 346 00:18:55,080 --> 00:18:57,400 Speaker 9: and all the usual things we've come to expect from 347 00:18:57,400 --> 00:19:00,080 Speaker 9: these first sales days for Apple, and then downstairs to 348 00:19:00,119 --> 00:19:02,800 Speaker 9: say there's a decent amount of excitement people. It takes 349 00:19:02,800 --> 00:19:05,200 Speaker 9: about twenty minutes to get this thing fitted. So people 350 00:19:05,200 --> 00:19:07,880 Speaker 9: were doing that and you know, seeing all the features 351 00:19:07,880 --> 00:19:10,840 Speaker 9: were and then emerging shortly after. So it's not quite 352 00:19:10,840 --> 00:19:13,560 Speaker 9: an iPhone day ed. I mean, the line is definitely 353 00:19:13,560 --> 00:19:15,560 Speaker 9: gone now you can just head straight in if you'd like. 354 00:19:16,160 --> 00:19:18,440 Speaker 9: But a significant amount of excitement I think for the 355 00:19:19,119 --> 00:19:21,080 Speaker 9: vision pro on this first morning. 356 00:19:21,320 --> 00:19:24,000 Speaker 3: Dave as lucky enough to be flanking you at seven 357 00:19:24,040 --> 00:19:26,760 Speaker 3: am and heading down there and having a chat with 358 00:19:26,800 --> 00:19:29,160 Speaker 3: Tim Cook, and he seemed to be thinking that really 359 00:19:29,200 --> 00:19:32,320 Speaker 3: it's the intuitive nature of this device that's got people 360 00:19:32,400 --> 00:19:34,680 Speaker 3: really excited. The fact that you're just using your eyes, 361 00:19:34,720 --> 00:19:36,320 Speaker 3: the fact that you're just using your own hands, you 362 00:19:36,359 --> 00:19:39,439 Speaker 3: haven't got a controller. He himself also really liking the 363 00:19:39,440 --> 00:19:43,119 Speaker 3: productivity use of it. But from your perspective, what do 364 00:19:43,240 --> 00:19:45,400 Speaker 3: you like about it? You've tried and I know you're 365 00:19:45,400 --> 00:19:47,600 Speaker 3: a bit of an addict to the quest for example, 366 00:19:48,119 --> 00:19:53,240 Speaker 3: what about this particular iteration. Well, let's see what I. 367 00:19:53,240 --> 00:19:55,359 Speaker 9: Think is interesting here, Caroline, is you know, what are 368 00:19:55,359 --> 00:19:57,960 Speaker 9: we going to use these things for? And in Apple's case, 369 00:19:58,000 --> 00:20:02,359 Speaker 9: they seem to you know, they're targeting extremely premium I guess, 370 00:20:02,400 --> 00:20:07,400 Speaker 9: more immersive, higher quality experience where productivity and entertainment seem 371 00:20:07,440 --> 00:20:10,639 Speaker 9: to be the focus. Meta's approach has been something a 372 00:20:10,640 --> 00:20:13,119 Speaker 9: bit cheaper. It's only five hundred dollars compared to thirty 373 00:20:13,119 --> 00:20:15,720 Speaker 9: five hundred dollars, and you can move around with it. 374 00:20:15,760 --> 00:20:17,439 Speaker 9: You can do the exercise is something I think is 375 00:20:17,800 --> 00:20:21,280 Speaker 9: really fun on that device. They're two sort of different philosophies, 376 00:20:21,320 --> 00:20:25,119 Speaker 9: and Apple's philosophy comes with that bigger price point as well. 377 00:20:26,320 --> 00:20:29,720 Speaker 9: Where I think Apple may over time get the upper 378 00:20:29,760 --> 00:20:32,200 Speaker 9: hand is that, you know, this is the V one 379 00:20:32,240 --> 00:20:34,040 Speaker 9: of this product, and Tim Cook has been kind of 380 00:20:34,040 --> 00:20:37,080 Speaker 9: stressing that as well, but this is a new entry 381 00:20:37,119 --> 00:20:40,199 Speaker 9: for them into a new computing format. The idea that 382 00:20:40,200 --> 00:20:42,720 Speaker 9: this is going to get better and cheaper, you know, 383 00:20:42,760 --> 00:20:45,560 Speaker 9: that's clear and the same way the iPhone improves over time. 384 00:20:45,880 --> 00:20:47,520 Speaker 9: So I think that's what's going to be interesting here. 385 00:20:47,600 --> 00:20:49,520 Speaker 9: Is not V one as we've seen today, but V two, 386 00:20:49,640 --> 00:20:51,679 Speaker 9: v three. If you can come down in price, be 387 00:20:51,720 --> 00:20:54,840 Speaker 9: a bit lighter, maybe less bulky, I think that would 388 00:20:54,840 --> 00:20:57,560 Speaker 9: be when you can really tell whether this is genuinely 389 00:20:57,560 --> 00:21:00,320 Speaker 9: a new, a smash hit, new Apple product, or whether 390 00:21:00,320 --> 00:21:01,120 Speaker 9: it's something a bit more. 391 00:21:01,119 --> 00:21:05,679 Speaker 3: Niche savely doing your duty down there in rain, we 392 00:21:05,760 --> 00:21:08,760 Speaker 3: really appreciate your opinion on this particular device. We thank 393 00:21:08,800 --> 00:21:11,600 Speaker 3: you for it. Davely on Fifth Avenue, I said a 394 00:21:11,680 --> 00:21:13,919 Speaker 3: quick check on these markets, said because, but the NASDAK 395 00:21:13,960 --> 00:21:16,359 Speaker 3: manages to outperform even though we're worried about a strong 396 00:21:16,400 --> 00:21:19,359 Speaker 3: macro picture. That means perhaps a federal reserve ain't going 397 00:21:19,400 --> 00:21:21,520 Speaker 3: to be cunning as soon as Mart. But dig into 398 00:21:21,560 --> 00:21:24,399 Speaker 3: what's driving the Nasdaq one hundred, just sea of Green. 399 00:21:24,560 --> 00:21:27,600 Speaker 3: Even Apple turns up to run well less than a 400 00:21:27,600 --> 00:21:30,359 Speaker 3: point higher, but that's after their numbers showed, yes, a 401 00:21:30,480 --> 00:21:33,040 Speaker 3: return to revenue growth, aching out that two percent. The 402 00:21:33,080 --> 00:21:35,800 Speaker 3: market had anticipated a one percent. But remember after four 403 00:21:35,840 --> 00:21:39,320 Speaker 3: straight quarters of declines in revenue, that was a standout. 404 00:21:39,400 --> 00:21:41,480 Speaker 3: Despite that weakness in China where we saw revenue off 405 00:21:41,480 --> 00:21:44,919 Speaker 3: by thirteen percent, but better absolute extraordinary up twenty percent, 406 00:21:44,960 --> 00:21:47,560 Speaker 3: new record high, and we're still seeing of course, they're 407 00:21:47,560 --> 00:21:50,480 Speaker 3: managing to be tripling profit. They're really driving up revenue growth. 408 00:21:50,480 --> 00:21:52,239 Speaker 3: They're going back to the basis of what's good at 409 00:21:52,280 --> 00:21:55,320 Speaker 3: advertising as well as still investing in their AI. And 410 00:21:55,359 --> 00:21:58,399 Speaker 3: then we leave you to Amazon up more than seven percent, 411 00:21:58,800 --> 00:22:02,000 Speaker 3: best online sales growth since early in the pandemic. This 412 00:22:02,080 --> 00:22:04,119 Speaker 3: is about quickert shipping times. It's about job cuts. This 413 00:22:04,160 --> 00:22:06,199 Speaker 3: is about discipline, and we can get to it with 414 00:22:06,240 --> 00:22:06,960 Speaker 3: our next guest ed. 415 00:22:07,840 --> 00:22:11,360 Speaker 4: Yeah, I think that there's a really interesting difference with Amazon, 416 00:22:11,440 --> 00:22:15,000 Speaker 4: and that is principally, hey, look at the profit we're 417 00:22:15,040 --> 00:22:16,600 Speaker 4: going to hit in the current course, so let's stick 418 00:22:16,600 --> 00:22:20,400 Speaker 4: with Amazon. With Stephan Slewinski, global head of Software Research 419 00:22:20,440 --> 00:22:24,120 Speaker 4: at BNP powabout exam and it just goes down to fundamentals. 420 00:22:24,200 --> 00:22:28,240 Speaker 4: We love exciting stories metas about AI and competition in 421 00:22:28,280 --> 00:22:31,199 Speaker 4: ads and apples about China and vision pro. For me, 422 00:22:31,400 --> 00:22:33,280 Speaker 4: Amazon is just about we're going to make a lot 423 00:22:33,280 --> 00:22:34,960 Speaker 4: of money in the current period, and it's a lot 424 00:22:34,960 --> 00:22:35,960 Speaker 4: more than the street thought. 425 00:22:38,480 --> 00:22:42,760 Speaker 10: Hi, thanks for having me on. So you're absolutely right. Aws. 426 00:22:42,840 --> 00:22:46,280 Speaker 10: Amazon Web Services squeaked by with thirteen percent growth, but 427 00:22:46,320 --> 00:22:49,000 Speaker 10: that was good enough. They are still losing share, we think, 428 00:22:49,000 --> 00:22:53,800 Speaker 10: to Microsoft Azure, but we're seeing a recovery in cloud computing, 429 00:22:54,240 --> 00:22:59,119 Speaker 10: large deals being signed, optimization ending, and that allowed for 430 00:22:59,160 --> 00:23:02,760 Speaker 10: the market to focus on those North American margins, which 431 00:23:02,760 --> 00:23:05,800 Speaker 10: they're able to lift and beat expectations. And I think 432 00:23:05,840 --> 00:23:08,399 Speaker 10: what was important as well is with the Q one guidance, 433 00:23:09,119 --> 00:23:11,080 Speaker 10: they've actually left more room for upside. So if you 434 00:23:11,119 --> 00:23:13,520 Speaker 10: look at the Q one guide eight to twelve billion 435 00:23:13,560 --> 00:23:17,560 Speaker 10: of EBIT, if you assume Amazon Web Services margins remain 436 00:23:17,680 --> 00:23:21,240 Speaker 10: flatish at twenty nine thirty percent, you assume internationals to 437 00:23:21,320 --> 00:23:24,240 Speaker 10: loses some money, that actually implies the North American margins 438 00:23:24,280 --> 00:23:27,440 Speaker 10: would go down from six to four percent. That's unlikely. 439 00:23:27,840 --> 00:23:30,040 Speaker 10: The company gave us reasons why we should continue to 440 00:23:30,040 --> 00:23:32,800 Speaker 10: see efficiencies there, so I think people see potential for 441 00:23:32,880 --> 00:23:34,120 Speaker 10: beats coming ahead as well. 442 00:23:35,600 --> 00:23:38,560 Speaker 4: I've not ever heard of that a company guiding conservatively 443 00:23:38,800 --> 00:23:43,520 Speaker 4: and leaving room for upside. I'm just kidding the thing 444 00:23:43,520 --> 00:23:47,320 Speaker 4: that I'm interested into the advertising business because aws one 445 00:23:47,320 --> 00:23:50,280 Speaker 4: on one with Azure, we know the competition there, but 446 00:23:50,359 --> 00:23:54,400 Speaker 4: Microsoft doesn't have that right now, add business, how much 447 00:23:54,400 --> 00:23:55,920 Speaker 4: of a strength is that for Amazon? 448 00:23:57,560 --> 00:23:59,720 Speaker 10: I mean, certainly the ad business plays a good part 449 00:23:59,720 --> 00:24:03,119 Speaker 10: of their online business, and that's been growing healthily in 450 00:24:03,119 --> 00:24:05,840 Speaker 10: the mid twenties, and that's helping that margin as well. So, 451 00:24:05,880 --> 00:24:08,119 Speaker 10: as you pointed out earlier, you know, Amazon was a 452 00:24:08,160 --> 00:24:11,560 Speaker 10: company that in twenty twenty two was doing sort of 453 00:24:11,560 --> 00:24:14,479 Speaker 10: a one percent margin. The market thinks that that can 454 00:24:14,520 --> 00:24:17,320 Speaker 10: get up towards ten percent. Here in twenty twenty five, 455 00:24:17,400 --> 00:24:20,760 Speaker 10: and growing ADS is a part of that. But I 456 00:24:20,800 --> 00:24:22,280 Speaker 10: do think we need to keep an eye on what's 457 00:24:22,280 --> 00:24:26,679 Speaker 10: happening with AWS versus Azure. Amazon Web Services is fifty 458 00:24:26,720 --> 00:24:29,880 Speaker 10: percent of the cloud computing market if you look at 459 00:24:29,960 --> 00:24:33,680 Speaker 10: just Microsoft, Amazon, and Google together, But in twenty twenty three, 460 00:24:33,840 --> 00:24:36,480 Speaker 10: if you just look at the incremental revenue those three 461 00:24:36,560 --> 00:24:39,760 Speaker 10: generated in twenty twenty three, actually Amazon's share was down 462 00:24:39,760 --> 00:24:43,240 Speaker 10: to thirty five percent, with Microsoft Azure at forty five percent, 463 00:24:43,600 --> 00:24:46,399 Speaker 10: and that's thanks to obviously the open eye relationship and 464 00:24:46,440 --> 00:24:50,239 Speaker 10: what Microsoft and Google are doing on AI. I do 465 00:24:50,280 --> 00:24:53,640 Speaker 10: think that gap may close again as AWS benefits maybe 466 00:24:53,640 --> 00:24:56,040 Speaker 10: a bit more from the end of optimization, but that 467 00:24:56,160 --> 00:24:58,040 Speaker 10: is something to watch as some of those share losses 468 00:24:58,080 --> 00:25:00,560 Speaker 10: continuing on the cloud computing side. 469 00:25:01,320 --> 00:25:04,159 Speaker 3: I'm interested in your price target an ultimate sort of 470 00:25:04,400 --> 00:25:07,360 Speaker 3: neutral rating on this stop when we're thinking of one 471 00:25:07,359 --> 00:25:11,560 Speaker 3: point seven trillion dollar market capitalization, that's still enormous. You see, though, 472 00:25:11,560 --> 00:25:13,439 Speaker 3: what I think a price targeting correct me if I'm 473 00:25:13,440 --> 00:25:15,600 Speaker 3: wrong of one hundred and fifty so below where we're 474 00:25:15,640 --> 00:25:19,640 Speaker 3: currently trading. Why that conservative nature of coming from U Steffan. 475 00:25:21,520 --> 00:25:23,639 Speaker 10: We did raise that today one sixty, but we are 476 00:25:23,680 --> 00:25:26,600 Speaker 10: still neutral. But we do think that all three cloud 477 00:25:26,640 --> 00:25:31,000 Speaker 10: computing companies benefit this year from Jenai. So that's Microsoft Azure, 478 00:25:31,040 --> 00:25:34,600 Speaker 10: that's Google Cloud, that's Amazon Web Services, and we actually 479 00:25:34,640 --> 00:25:37,080 Speaker 10: think that that's a better way of playing Jenai this 480 00:25:37,200 --> 00:25:39,920 Speaker 10: year than the SaaS companies where we may see some disappointments, 481 00:25:39,920 --> 00:25:43,960 Speaker 10: and that's Microsoft Copilot, it's maybe Adobe Firefly or even 482 00:25:44,000 --> 00:25:46,760 Speaker 10: Service now with proclus where we may not see that 483 00:25:46,800 --> 00:25:51,000 Speaker 10: revenue generation this year. When we look at Amazon versus Microsoft, 484 00:25:51,040 --> 00:25:54,199 Speaker 10: we do prefer Microsoft. We are outperformed there, there is 485 00:25:54,240 --> 00:25:57,320 Speaker 10: a valuation gap. It's shrunk, but you are on sort 486 00:25:57,320 --> 00:26:00,360 Speaker 10: of twenty seven times earnings for Microsoft on twenty twenty five, 487 00:26:00,720 --> 00:26:03,840 Speaker 10: about thirty times for Amazon, and you still do have 488 00:26:04,320 --> 00:26:07,560 Speaker 10: much higher margins, of course, much better returns at Microsoft, 489 00:26:07,840 --> 00:26:10,520 Speaker 10: and probably even higher revenue growth. So we think all 490 00:26:10,560 --> 00:26:12,760 Speaker 10: three will benefit, but we have to have some preferences, 491 00:26:12,800 --> 00:26:14,480 Speaker 10: and that's why we sick with Microsoft. 492 00:26:14,920 --> 00:26:17,879 Speaker 3: Stefan great for that context into play for us. We 493 00:26:17,920 --> 00:26:20,520 Speaker 3: thank you so much. Stefan Stowinski, Global head of Software 494 00:26:20,560 --> 00:26:24,199 Speaker 3: research over at BMP parabat Exam. We thank him for it. Meanwhile, 495 00:26:24,280 --> 00:26:27,280 Speaker 3: let's get back to the other big stock on Deck 496 00:26:27,280 --> 00:26:30,640 Speaker 3: Capital's earnings. BlueBag Intelligence senior analyst an rag Rana joins 497 00:26:30,680 --> 00:26:33,120 Speaker 3: us An Anurag. Well, the share is actually turning positive 498 00:26:33,160 --> 00:26:36,440 Speaker 3: after a four percent slump. Are we managing to counteract 499 00:26:36,480 --> 00:26:38,520 Speaker 3: it with the Vision pro news or is it more 500 00:26:38,520 --> 00:26:40,879 Speaker 3: that we're getting okay in fact, that China will be 501 00:26:41,000 --> 00:26:41,919 Speaker 3: short term in nature. 502 00:26:43,040 --> 00:26:45,000 Speaker 11: Yeah, I have no idea. I'm a bit surprised at 503 00:26:45,040 --> 00:26:47,320 Speaker 11: that too. I mean, I think the print last night 504 00:26:47,359 --> 00:26:50,200 Speaker 11: basically said there's going to be very little growth this year. 505 00:26:50,280 --> 00:26:54,399 Speaker 11: So it is concerning, and I don't think Vision broken 506 00:26:54,440 --> 00:26:57,240 Speaker 11: off said that. Listen, even if you sell one million units, 507 00:26:57,320 --> 00:26:59,600 Speaker 11: which is way above anybody else in the world, as 508 00:26:59,600 --> 00:27:01,760 Speaker 11: the model as well, that's three and a half billion 509 00:27:01,800 --> 00:27:05,000 Speaker 11: in revenue Apple generates, or you know, the consensus is 510 00:27:05,000 --> 00:27:07,399 Speaker 11: around three around four hundred billion, so that would be 511 00:27:07,680 --> 00:27:10,479 Speaker 11: you know, less than one percent of total you know, 512 00:27:10,520 --> 00:27:13,600 Speaker 11: revenue addition to Apple. So this is not a needle 513 00:27:13,600 --> 00:27:16,280 Speaker 11: movement when it comes to sales. I mean, China is 514 00:27:16,280 --> 00:27:19,160 Speaker 11: a big factor and then we see nothing but disappointment there. 515 00:27:20,840 --> 00:27:24,040 Speaker 4: Karen Ana Rag's keeping it real, which if you read 516 00:27:24,040 --> 00:27:26,320 Speaker 4: some of the notes out this morning, is a bit 517 00:27:26,359 --> 00:27:28,399 Speaker 4: of a standout in that respect because a lot of 518 00:27:28,440 --> 00:27:32,919 Speaker 4: people do see growth. I still don't understand this issue 519 00:27:32,920 --> 00:27:34,720 Speaker 4: of China. You know, we've done a lot of it 520 00:27:34,760 --> 00:27:37,080 Speaker 4: on the show, but one thing that we haven't discussed 521 00:27:37,359 --> 00:27:41,920 Speaker 4: is services revenue in Europe and the installed base. You know, 522 00:27:42,000 --> 00:27:44,520 Speaker 4: the installed base continues to grow. So even if you 523 00:27:44,520 --> 00:27:48,000 Speaker 4: look at one market geographically and say weakness in China 524 00:27:48,119 --> 00:27:52,280 Speaker 4: or one product category, weakness in whatever, overall more people 525 00:27:52,320 --> 00:27:54,760 Speaker 4: are buying Apple products and they have Apple products, and 526 00:27:54,800 --> 00:27:56,240 Speaker 4: the services side is doing good. 527 00:27:57,840 --> 00:27:58,040 Speaker 8: Yeah. 528 00:27:58,119 --> 00:27:59,639 Speaker 11: See one of the things I have to talk about. 529 00:27:59,800 --> 00:28:03,280 Speaker 11: We all know Apple's a phenomenal company, amazing you know, 530 00:28:03,359 --> 00:28:07,119 Speaker 11: install based services, all sorts of things that's going. But 531 00:28:07,200 --> 00:28:08,600 Speaker 11: at the same time, you want to talk about the 532 00:28:08,600 --> 00:28:12,720 Speaker 11: revenue model. How much can this grow this year, next year. 533 00:28:13,640 --> 00:28:15,479 Speaker 11: This year it's going to be less than five percent. 534 00:28:16,000 --> 00:28:18,679 Speaker 11: Next year maybe five percent. So the question is how 535 00:28:18,760 --> 00:28:20,920 Speaker 11: much do you pay for a stock it's going to grow, 536 00:28:21,040 --> 00:28:23,040 Speaker 11: you know, four five percent. And you know, I was 537 00:28:23,040 --> 00:28:25,919 Speaker 11: listening to your colleague before. When you look at somebody 538 00:28:26,000 --> 00:28:28,440 Speaker 11: something like an aw sort of Microsoft, you're going to 539 00:28:28,440 --> 00:28:31,840 Speaker 11: get double digit growth for multiple years to come. So 540 00:28:31,960 --> 00:28:33,440 Speaker 11: you you take that into account. 541 00:28:33,480 --> 00:28:34,920 Speaker 12: And then you you know, match up. 542 00:28:35,480 --> 00:28:38,560 Speaker 11: Apple has a lot to explain here that how do 543 00:28:38,600 --> 00:28:40,680 Speaker 11: they get to that seven eight percent growth here? And 544 00:28:40,720 --> 00:28:42,560 Speaker 11: I think it's it's going to be a challenging task 545 00:28:42,680 --> 00:28:44,680 Speaker 11: at least for this year and next year because at. 546 00:28:44,600 --> 00:28:46,760 Speaker 3: The moment, the market price is for yet another revenue 547 00:28:46,800 --> 00:28:49,760 Speaker 3: decline in their fiscal second quarter. So back to what 548 00:28:49,800 --> 00:28:52,280 Speaker 3: we were seeing all of last year. I mean, any 549 00:28:52,320 --> 00:28:56,560 Speaker 3: exuberance about this new VRAR reality that we get on 550 00:28:56,600 --> 00:28:57,520 Speaker 3: sale today on our. 551 00:28:58,880 --> 00:29:01,480 Speaker 11: No, not on that, but you know he did utter 552 00:29:01,520 --> 00:29:04,760 Speaker 11: the magic word Jenny I on the call, and then 553 00:29:04,960 --> 00:29:08,160 Speaker 11: you're gonna talk about launching some new tubes and Slash 554 00:29:08,200 --> 00:29:10,840 Speaker 11: products sometime in the second half of this year. I 555 00:29:10,880 --> 00:29:13,680 Speaker 11: think that's a wild guard that could you know, basically 556 00:29:14,120 --> 00:29:17,040 Speaker 11: prove me wrong, because if they're able to come up 557 00:29:17,040 --> 00:29:20,160 Speaker 11: with certain things that are embedded in iOS eighteen that 558 00:29:20,280 --> 00:29:23,280 Speaker 11: will really make productivity higher, then you don't really need 559 00:29:23,320 --> 00:29:25,360 Speaker 11: to download an app and do a lot of that stuff. 560 00:29:25,560 --> 00:29:27,720 Speaker 11: And for that maybe you need to go to iPhone 561 00:29:27,760 --> 00:29:30,400 Speaker 11: sixteen or the next version of the iPhone that may 562 00:29:30,440 --> 00:29:34,360 Speaker 11: have some capabilities and then can drive the refresh cycle 563 00:29:34,400 --> 00:29:35,920 Speaker 11: of iPhone that we've been. 564 00:29:35,840 --> 00:29:40,800 Speaker 4: All waiting for Bloomberg Intelligence senior analysts Andamgrana keeping it real. 565 00:29:41,120 --> 00:29:41,840 Speaker 4: Thank you very much. 566 00:29:41,880 --> 00:29:42,560 Speaker 1: Happy Friday. 567 00:29:42,840 --> 00:29:47,200 Speaker 4: Coming up on the program, my exclusive conversation with invidiac 568 00:29:48,120 --> 00:29:51,840 Speaker 4: Jensen Huang. This was big picture and it was t 569 00:29:52,400 --> 00:30:04,960 Speaker 4: check it out next. This is Bloomberg Technology. Jensen Wang 570 00:30:05,120 --> 00:30:08,520 Speaker 4: says that artificial intelligence will matter to every single country 571 00:30:08,520 --> 00:30:12,120 Speaker 4: and industry on the planet, and crucially that's going to 572 00:30:12,200 --> 00:30:15,520 Speaker 4: drive up sovereign AI demand for his company's products. I 573 00:30:15,520 --> 00:30:18,360 Speaker 4: spoke to Nvidia's CEO yesterday. Listen to this. 574 00:30:21,080 --> 00:30:30,080 Speaker 12: You have seen India, Japan, and France, Canada, now Southeast Asia, 575 00:30:30,160 --> 00:30:35,120 Speaker 12: Singapore speak up about the importance of investing in sovereign 576 00:30:35,160 --> 00:30:40,000 Speaker 12: AI capabilities. It has become abundantly clear to each one 577 00:30:40,040 --> 00:30:43,760 Speaker 12: of the countries that their natural resource, which is the 578 00:30:43,920 --> 00:30:48,800 Speaker 12: data of their country, should be should be refined and 579 00:30:48,960 --> 00:30:53,240 Speaker 12: produce intelligence of their country for their country. And that 580 00:30:53,360 --> 00:30:56,760 Speaker 12: capability of refining the data of their country, of their 581 00:30:56,760 --> 00:31:00,400 Speaker 12: country and turn it into their artificial intelligence, it is 582 00:31:00,480 --> 00:31:04,320 Speaker 12: now possible in quite a quite a democratized way. Almost 583 00:31:04,320 --> 00:31:06,200 Speaker 12: every country should be able to do it for themselves. 584 00:31:06,920 --> 00:31:11,320 Speaker 12: And and what's needed, of course is the technology and 585 00:31:11,360 --> 00:31:15,000 Speaker 12: the know how of standing up AI infrastructure, and that's 586 00:31:15,040 --> 00:31:19,160 Speaker 12: where we could be quite helpful to to various regions. 587 00:31:19,480 --> 00:31:22,640 Speaker 12: And so I think that the the recognition of the 588 00:31:22,640 --> 00:31:26,640 Speaker 12: importance of sovereign AI capabilities is now quite quite global. 589 00:31:26,800 --> 00:31:30,200 Speaker 4: Jensen, does that recognition and your ability to help extend 590 00:31:30,280 --> 00:31:30,880 Speaker 4: to China. 591 00:31:31,160 --> 00:31:33,840 Speaker 12: Well, we're American company and we have to comply with 592 00:31:34,000 --> 00:31:38,040 Speaker 12: American policies, and whatever the rules and regulations are and 593 00:31:38,040 --> 00:31:41,680 Speaker 12: the laws are, will number one, comply with them, work 594 00:31:41,680 --> 00:31:46,920 Speaker 12: closely with the regulators and understand understand their intentions and 595 00:31:46,960 --> 00:31:51,480 Speaker 12: their desires, work within those boundaries, and be able to 596 00:31:51,480 --> 00:31:55,880 Speaker 12: create products for for the various countries that are involved. 597 00:31:56,280 --> 00:32:00,240 Speaker 12: Fully in compliant with the regulations that are never front 598 00:32:00,240 --> 00:32:04,120 Speaker 12: of us UH and beyond that, once we once we comply, 599 00:32:04,840 --> 00:32:07,160 Speaker 12: our goal are in the United States would love to 600 00:32:07,160 --> 00:32:10,360 Speaker 12: see us be a successful country and in one of 601 00:32:10,400 --> 00:32:14,320 Speaker 12: the pillars of national security of successful industries, and it 602 00:32:14,360 --> 00:32:20,280 Speaker 12: creates jobs and allows our country to stay ahead and technologically, 603 00:32:20,320 --> 00:32:24,880 Speaker 12: and so it is of a great interest of our 604 00:32:24,960 --> 00:32:28,600 Speaker 12: nation that our American companies are successful around the world. 605 00:32:29,080 --> 00:32:32,120 Speaker 12: And so once once we comply with the regulations, we'll 606 00:32:32,120 --> 00:32:36,240 Speaker 12: do our best to serve the local markets, and we 607 00:32:36,320 --> 00:32:42,400 Speaker 12: have full the we have excellent communications with with the administration. 608 00:32:42,600 --> 00:32:47,120 Speaker 4: How should we think about sovereign AI as a business 609 00:32:47,120 --> 00:32:49,600 Speaker 4: line for you? Is there a way that we can 610 00:32:49,720 --> 00:32:54,000 Speaker 4: understand how in videos work. Even if it's building supercomputers 611 00:32:54,040 --> 00:32:57,160 Speaker 4: like in the UK, for example, what proportion of your 612 00:32:57,200 --> 00:32:59,640 Speaker 4: overall business that will represent. 613 00:32:59,720 --> 00:33:04,640 Speaker 12: That's majority of the computing market has been the United 614 00:33:04,640 --> 00:33:08,560 Speaker 12: States and to a small to a much longer smaller 615 00:33:08,560 --> 00:33:13,040 Speaker 12: degree in China. For the very first time, every industry 616 00:33:13,120 --> 00:33:16,960 Speaker 12: would be every single country will become a computer industry, 617 00:33:17,120 --> 00:33:20,640 Speaker 12: and every industry will become a technology industry. And so 618 00:33:20,840 --> 00:33:26,120 Speaker 12: artificial intelligence or the automation uh the production at scale 619 00:33:26,160 --> 00:33:29,880 Speaker 12: of intelligence matters to every single country. It matters to 620 00:33:29,880 --> 00:33:32,440 Speaker 12: every single industry. And so for the very first time, 621 00:33:32,520 --> 00:33:36,600 Speaker 12: there's a there's a whole new computer market that is 622 00:33:36,680 --> 00:33:39,400 Speaker 12: going to be uh in in every single country, in 623 00:33:39,440 --> 00:33:43,840 Speaker 12: every single every single market. And UH it starts with 624 00:33:44,080 --> 00:33:49,520 Speaker 12: it starts with, of course, uh the native computer industry itself. 625 00:33:50,240 --> 00:33:53,520 Speaker 12: But you're seeing you're seeing a great adoption in healthcare, 626 00:33:53,600 --> 00:33:58,760 Speaker 12: great adoption and logistics uh in in transportation of course, 627 00:33:59,400 --> 00:34:02,200 Speaker 12: uh in many factoring in the large industry, so heavy 628 00:34:02,240 --> 00:34:06,560 Speaker 12: industries for the very first time. Because of generative AI, 629 00:34:07,160 --> 00:34:10,040 Speaker 12: computers are going to be computer technology is going to 630 00:34:10,080 --> 00:34:13,839 Speaker 12: impact literally every single industry in every single country. 631 00:34:15,040 --> 00:34:18,000 Speaker 4: And Nvidia CEO Jensen Van Kara is saying that data 632 00:34:18,120 --> 00:34:22,240 Speaker 4: is a country's natural resource. But for them, let's be honest, 633 00:34:22,280 --> 00:34:24,080 Speaker 4: it's a big growth market opportunity. 634 00:34:24,600 --> 00:34:28,319 Speaker 3: Absolutely phenomenal interview, just so wide ranging, so global in 635 00:34:28,360 --> 00:34:31,440 Speaker 3: its nature, kind of well, exactly what you do so well, 636 00:34:31,520 --> 00:34:34,000 Speaker 3: and we thank you for it. Great deep dive. Meanwhile, 637 00:34:34,080 --> 00:34:36,160 Speaker 3: we've got some breaking news coming to us in terms 638 00:34:36,200 --> 00:34:39,680 Speaker 3: of the podcasting area. Once again, we're starting to see 639 00:34:39,680 --> 00:34:42,960 Speaker 3: that continue to mount. We have Joe Rogan set to 640 00:34:43,000 --> 00:34:47,200 Speaker 3: renew his podcast deal with Spotify. We understand so Joe Rogan, 641 00:34:47,239 --> 00:34:49,640 Speaker 3: of course one of the number one players in terms 642 00:34:49,640 --> 00:34:52,360 Speaker 3: of the Spotify podcast offering and indeed one of the 643 00:34:52,400 --> 00:34:55,440 Speaker 3: most expensive for them. Joe Rogan is set to renew 644 00:34:55,440 --> 00:34:58,239 Speaker 3: his podcast deal with Spotify, and we will bring you 645 00:34:58,280 --> 00:35:00,239 Speaker 3: the deep dive as to how much that is all 646 00:35:00,280 --> 00:35:03,440 Speaker 3: going to be costing. Spotify TikTok Well users will no 647 00:35:03,520 --> 00:35:05,759 Speaker 3: longer hear the music of artists like Taylor Swift, like 648 00:35:05,880 --> 00:35:08,879 Speaker 3: Drake while using the app, since talks between the social 649 00:35:08,920 --> 00:35:11,960 Speaker 3: media platform and Universal Music Group. They failed here with 650 00:35:12,040 --> 00:35:15,279 Speaker 3: the details blue most Chris Palmery and Chris the date 651 00:35:15,560 --> 00:35:18,200 Speaker 3: was January the thirty first. It wasn't able to be 652 00:35:18,239 --> 00:35:20,919 Speaker 3: agreed upon. And the fight seems to be what from 653 00:35:20,960 --> 00:35:24,600 Speaker 3: UMG's perspective over AI and money and from TikTok's perspective 654 00:35:24,880 --> 00:35:26,480 Speaker 3: that we'll give you loads of free advertising. 655 00:35:26,520 --> 00:35:31,239 Speaker 8: Basically, yeah, I'm smiling because this is Grammy Week in 656 00:35:31,360 --> 00:35:35,960 Speaker 8: LA parties everywhere gearing up for Sunday's awards. It may 657 00:35:35,960 --> 00:35:39,320 Speaker 8: have been a total coincidence, but this was the perfect 658 00:35:39,320 --> 00:35:42,120 Speaker 8: time for Universal to do this. I'm going to get 659 00:35:42,120 --> 00:35:44,000 Speaker 8: a lot of sympathy from artists. It's going to be 660 00:35:44,040 --> 00:35:47,440 Speaker 8: the number one topic of conversation everywhere, and very awkward 661 00:35:47,520 --> 00:35:52,840 Speaker 8: for TikTok. They're a huge part of the marketing of 662 00:35:53,000 --> 00:35:56,720 Speaker 8: music these days. You know, billion users, over one hundred 663 00:35:56,719 --> 00:35:59,960 Speaker 8: billion in revenue, and yet only one percent of Universe 664 00:36:00,320 --> 00:36:03,839 Speaker 8: Music's revenue. And so this is going to have an 665 00:36:03,840 --> 00:36:08,239 Speaker 8: impact on TikTok, lesser impact on Universal, but everyone is 666 00:36:08,640 --> 00:36:10,080 Speaker 8: going to have something to say about this. 667 00:36:11,000 --> 00:36:13,920 Speaker 4: Chris, let's get some more in this breaking news sources 668 00:36:13,920 --> 00:36:17,759 Speaker 4: and telling Bloomberg that Joe Rogan's close to renewing a 669 00:36:17,800 --> 00:36:18,759 Speaker 4: deal with Spotify. 670 00:36:18,880 --> 00:36:24,680 Speaker 8: What are the details, Well, what we hear could be 671 00:36:24,680 --> 00:36:29,160 Speaker 8: announced you know this morning. It's going to be another 672 00:36:29,239 --> 00:36:32,560 Speaker 8: multi year extension. Is probably going to be an eye 673 00:36:32,560 --> 00:36:35,000 Speaker 8: popping number of the last deal was for two hundred 674 00:36:35,000 --> 00:36:37,440 Speaker 8: million for three years, although we may not get the 675 00:36:37,480 --> 00:36:41,640 Speaker 8: details immediately they Spotify has been taking a different tack 676 00:36:41,760 --> 00:36:46,400 Speaker 8: with their podcasts recently. The last deal with Rogan was exclusive, 677 00:36:46,480 --> 00:36:51,000 Speaker 8: although they put some highlights up online. This one may 678 00:36:51,040 --> 00:36:55,479 Speaker 8: be available on other platforms, so that would be a departure, all. 679 00:36:55,440 --> 00:36:58,200 Speaker 4: Right, Bloombos Chris Palm Mary with that breaking news and 680 00:36:58,239 --> 00:36:59,880 Speaker 4: some more details. Spotify up two percent. 681 00:37:00,040 --> 00:37:00,520 Speaker 12: Interesting. 682 00:37:00,800 --> 00:37:04,440 Speaker 4: Sticking with the music space, what if you could invest 683 00:37:04,480 --> 00:37:09,000 Speaker 4: in a hit song? Jukebox, which is currently seeking SEC approval, 684 00:37:09,800 --> 00:37:12,000 Speaker 4: is a platform that aims to provide people with the 685 00:37:12,040 --> 00:37:16,040 Speaker 4: opportunity to hold interests in music related investments. Here and 686 00:37:16,120 --> 00:37:19,000 Speaker 4: tell us more ahead of the Grammys is the company 687 00:37:19,120 --> 00:37:22,400 Speaker 4: CEO Scott Cohen. So for clarity, this is not something 688 00:37:22,440 --> 00:37:25,440 Speaker 4: you yet have approval for that is pending. But I 689 00:37:25,440 --> 00:37:28,000 Speaker 4: guess I start with the demand side. You must know 690 00:37:28,640 --> 00:37:31,640 Speaker 4: that this is something that either the everyday retail investor 691 00:37:32,239 --> 00:37:34,280 Speaker 4: or firms actually want to buy into. 692 00:37:35,760 --> 00:37:36,040 Speaker 9: Yeah. 693 00:37:36,120 --> 00:37:39,959 Speaker 2: I mean you're talking about maybe the first time they've 694 00:37:40,000 --> 00:37:44,560 Speaker 2: actually truly understood an investment they made. When we're talking 695 00:37:44,560 --> 00:37:47,520 Speaker 2: about the retail investor, they may invest in a tech sta, 696 00:37:47,760 --> 00:37:51,080 Speaker 2: but do they really know what's driving that. But when 697 00:37:51,120 --> 00:37:54,680 Speaker 2: you talk about music, there's something fundamental that people know 698 00:37:54,840 --> 00:37:58,279 Speaker 2: about music that this is a hit song and I'm 699 00:37:58,280 --> 00:38:01,000 Speaker 2: gonna listen to it at my ten year high school 700 00:38:01,000 --> 00:38:03,840 Speaker 2: reunion and my twenty year reunion, and we'll play it 701 00:38:03,880 --> 00:38:07,160 Speaker 2: at my wedding. You have a real feel for what 702 00:38:07,360 --> 00:38:09,239 Speaker 2: songs are valuable and what are not. 703 00:38:10,200 --> 00:38:14,440 Speaker 3: You've got the music rights yourself exclusively secured. I think 704 00:38:14,560 --> 00:38:16,480 Speaker 3: last time we wrote about it, is it about one 705 00:38:16,480 --> 00:38:19,839 Speaker 3: point seven billion dollars worth. Where are you sourcing that from? 706 00:38:19,840 --> 00:38:23,440 Speaker 3: There's been so many interesting deals. Beaver selling his catalog 707 00:38:23,960 --> 00:38:26,319 Speaker 3: to of course Hignosis. We seen Bob Dylan do the same, 708 00:38:26,400 --> 00:38:29,280 Speaker 3: John Legend. But where do you access the assets from? 709 00:38:30,000 --> 00:38:34,040 Speaker 2: What exactly those types of players? You know, as people 710 00:38:34,120 --> 00:38:37,840 Speaker 2: are acquiring these these catalogs, they're looking for new ways 711 00:38:37,960 --> 00:38:40,680 Speaker 2: to exploit them. And when I say exploit them, it's 712 00:38:40,920 --> 00:38:43,520 Speaker 2: bring it to the very people that made these artists 713 00:38:43,520 --> 00:38:46,520 Speaker 2: big in the first place, and allow the retail investor 714 00:38:46,560 --> 00:38:49,640 Speaker 2: to get in on these deals because we've all read 715 00:38:49,680 --> 00:38:52,359 Speaker 2: about it, you know, Bruce, and as you said, Bob 716 00:38:52,440 --> 00:38:55,840 Speaker 2: Dylan and Justin Bieber, like, these are amazing deals, but 717 00:38:56,400 --> 00:38:59,280 Speaker 2: nobody offered up any piece of it to the public. 718 00:38:59,320 --> 00:39:01,920 Speaker 2: So for the first time, now the public can join in. 719 00:39:03,040 --> 00:39:06,879 Speaker 4: So there's a question on value and valuation and appreciation. 720 00:39:07,120 --> 00:39:09,719 Speaker 4: Like we've done this on this show about sneakers. There 721 00:39:09,760 --> 00:39:13,800 Speaker 4: are platforms where you can trade sneakers and part of 722 00:39:13,840 --> 00:39:17,719 Speaker 4: the value relates to their scarcity or rarity. In the 723 00:39:18,080 --> 00:39:21,440 Speaker 4: context of a song, Isn't it just like whether everyone 724 00:39:21,640 --> 00:39:22,640 Speaker 4: likes that song or not. 725 00:39:23,600 --> 00:39:26,040 Speaker 2: No, No, I would look at it a very different way. 726 00:39:26,160 --> 00:39:30,920 Speaker 2: I mean, think about it. When music is played, somebody's 727 00:39:30,920 --> 00:39:33,120 Speaker 2: getting paid. I mean, I don't care. 728 00:39:33,239 --> 00:39:35,400 Speaker 1: You can go back however far you want, you know, 729 00:39:35,760 --> 00:39:38,600 Speaker 1: So what if it doesn't get played, what if it's 730 00:39:38,760 --> 00:39:40,200 Speaker 1: not get well. 731 00:39:40,840 --> 00:39:44,399 Speaker 2: What we're doing is listing songs that already will have 732 00:39:44,760 --> 00:39:48,200 Speaker 2: an earning's history. It's not songs that have never made it. 733 00:39:48,239 --> 00:39:51,960 Speaker 2: This isn't speculating on whether a song will be successful. 734 00:39:52,200 --> 00:39:55,640 Speaker 2: This is looking at once a song is successful, it's 735 00:39:55,680 --> 00:39:56,760 Speaker 2: always making money. 736 00:39:57,040 --> 00:40:01,319 Speaker 3: I mean making much money. Scott given for example, at 737 00:40:01,320 --> 00:40:04,080 Speaker 3: the moment UMG is at a loggerheads with TikTok because 738 00:40:04,080 --> 00:40:04,879 Speaker 3: they're not paying enough. 739 00:40:06,800 --> 00:40:10,480 Speaker 2: That's, if anything, that supports the thesis that music is 740 00:40:10,520 --> 00:40:14,640 Speaker 2: really valuable and and and and that is why they're 741 00:40:14,680 --> 00:40:17,799 Speaker 2: fighting for it. When we look at music, there's a 742 00:40:17,840 --> 00:40:20,919 Speaker 2: there's a very typical decay curve. Sure a song makes 743 00:40:20,960 --> 00:40:23,200 Speaker 2: a lot of money when it's first released and it 744 00:40:23,239 --> 00:40:26,200 Speaker 2: becomes a hit, and then it drops off pretty steadily 745 00:40:26,239 --> 00:40:29,520 Speaker 2: over the next few years. But then it hits its floor, 746 00:40:29,800 --> 00:40:33,400 Speaker 2: which is non zero, and then it earns money forever. 747 00:40:33,640 --> 00:40:35,960 Speaker 2: And if you look at the Goldman Sacks Report, I 748 00:40:36,000 --> 00:40:38,720 Speaker 2: think they're pegging it somewhere between six and eight percent 749 00:40:39,360 --> 00:40:42,320 Speaker 2: annual growth for the music industry over the next decade. 750 00:40:42,480 --> 00:40:42,719 Speaker 3: Yeah. 751 00:40:42,760 --> 00:40:45,759 Speaker 2: I mean, once a song makes money, it makes a 752 00:40:45,760 --> 00:40:48,520 Speaker 2: lot at the beginning, drops to a new level and 753 00:40:48,560 --> 00:40:51,799 Speaker 2: then slowly climbs. But then there's always this kind of 754 00:40:51,880 --> 00:40:55,200 Speaker 2: wild card. Maybe it gets into a big film or 755 00:40:55,760 --> 00:40:59,080 Speaker 2: you know TV, Like think about what happened on Stranger 756 00:40:59,160 --> 00:40:59,960 Speaker 2: Things last season. 757 00:41:00,200 --> 00:41:01,600 Speaker 1: Kate Bushy. 758 00:41:03,080 --> 00:41:06,799 Speaker 3: Jukebox CEO Scott Cohen diversification of investment. There, we thank you. 759 00:41:06,840 --> 00:41:08,799 Speaker 3: That does it for this edition of Bloomberg Technology. 760 00:41:09,920 --> 00:41:12,719 Speaker 4: Check out the pod. What a week this is Bloomberg 761 00:41:14,600 --> 00:41:14,640 Speaker 6: M