1 00:00:02,720 --> 00:00:10,559 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,600 --> 00:00:14,560 Speaker 1: Bloomberg Intelligence podcast. Catch us live weekdays at ten am 3 00:00:14,600 --> 00:00:17,840 Speaker 1: Eastern on Apple, Cocklay and Android Auto with the Bloomberg 4 00:00:17,920 --> 00:00:21,040 Speaker 1: Business app. Listen on demand wherever you get your podcasts, 5 00:00:21,360 --> 00:00:23,080 Speaker 1: or watch us live on YouTube. 6 00:00:24,000 --> 00:00:25,800 Speaker 2: It feels like this week we've seen a lot as 7 00:00:25,840 --> 00:00:27,200 Speaker 2: it released to Chinese tug as. 8 00:00:27,120 --> 00:00:29,639 Speaker 3: Well a lot based on that, and overnight there's a 9 00:00:29,720 --> 00:00:32,520 Speaker 3: Chinese AI startup called Moonshot, which I thought the name 10 00:00:32,560 --> 00:00:35,479 Speaker 3: was kind of app It sent jitters across markets, and 11 00:00:35,560 --> 00:00:38,319 Speaker 3: this is why partly we're seeing or largely rather we're 12 00:00:38,320 --> 00:00:40,720 Speaker 3: seeing an SNP and an ASDAC that's down on the day, 13 00:00:40,720 --> 00:00:43,120 Speaker 3: and that's why you're seeing the socks on a bear market. 14 00:00:43,360 --> 00:00:46,360 Speaker 3: Because of that, and for that, we have no one 15 00:00:46,400 --> 00:00:48,840 Speaker 3: else better to talk to than Men Deep seeing he's 16 00:00:48,880 --> 00:00:51,560 Speaker 3: with Bloomberg Intelligence. Men Deep, do you think this is 17 00:00:51,600 --> 00:00:54,160 Speaker 3: another Deep Seek moment or do you think that this 18 00:00:54,360 --> 00:00:57,040 Speaker 3: is something bigger changing maybe in the AI race. 19 00:00:59,320 --> 00:01:02,520 Speaker 4: I would say there, I'm off the view that you know, 20 00:01:03,120 --> 00:01:06,639 Speaker 4: every time there is a new model release, every model 21 00:01:06,680 --> 00:01:10,640 Speaker 4: provider would highlight, you know, what is unique about this release, 22 00:01:10,720 --> 00:01:14,640 Speaker 4: and in this case, they talk about, you know, token efficiency, 23 00:01:14,760 --> 00:01:17,080 Speaker 4: the fact that they have caught up in terms of 24 00:01:17,200 --> 00:01:22,160 Speaker 4: certain types of functionality that the model can provide. And look, 25 00:01:22,480 --> 00:01:26,040 Speaker 4: we were in an environment where everyone is talking about 26 00:01:26,080 --> 00:01:30,720 Speaker 4: how expensive it is to deploy these technologies, the llms, 27 00:01:31,319 --> 00:01:36,120 Speaker 4: and this model seems to be good enough at a 28 00:01:36,160 --> 00:01:39,800 Speaker 4: low price, which is what is catching attention. But that 29 00:01:39,840 --> 00:01:42,680 Speaker 4: doesn't mean, you know, they've caught up to the frontier 30 00:01:42,760 --> 00:01:46,840 Speaker 4: models that Anthropic and Open Eye have released, and so 31 00:01:46,920 --> 00:01:50,240 Speaker 4: it's really a function of pricing. And to my mind, 32 00:01:51,240 --> 00:01:54,640 Speaker 4: you can create news, but the actual adoption will have 33 00:01:54,680 --> 00:01:55,440 Speaker 4: to wait and see. 34 00:01:55,760 --> 00:01:59,800 Speaker 2: And it speaks to the nervousness that consumers and investors 35 00:01:59,800 --> 00:02:03,600 Speaker 2: have over who is prevailing in this AI race, and 36 00:02:03,720 --> 00:02:06,440 Speaker 2: very much feels like an AI race. Mandy, Why have 37 00:02:06,520 --> 00:02:09,640 Speaker 2: we gotten to the point where, even though the cutting 38 00:02:09,720 --> 00:02:12,240 Speaker 2: edge development and technology is happening in the US, it 39 00:02:12,280 --> 00:02:15,840 Speaker 2: feels increasingly like Asian markets are dictating where things go 40 00:02:15,880 --> 00:02:16,840 Speaker 2: in terms of price action. 41 00:02:18,600 --> 00:02:20,720 Speaker 4: Yes, I think you bring up a very good point 42 00:02:20,760 --> 00:02:23,640 Speaker 4: that you know, what's going on in Korea right now 43 00:02:23,880 --> 00:02:27,000 Speaker 4: seems to be affecting you know, the indices here and 44 00:02:27,160 --> 00:02:30,800 Speaker 4: how stocks are trading, and that's part of the nervousness 45 00:02:30,800 --> 00:02:33,560 Speaker 4: that you alluded to that you know, when things go 46 00:02:33,760 --> 00:02:37,920 Speaker 4: parabolic as they did with some of the stocks, you know, 47 00:02:38,160 --> 00:02:41,720 Speaker 4: for no reason whatsoever. Yes, the fundamentals have been great, 48 00:02:42,080 --> 00:02:44,040 Speaker 4: but that doesn't mean, you know, things have to go 49 00:02:44,240 --> 00:02:49,519 Speaker 4: up in that fashion, and that's what creates nervousness around valuations. 50 00:02:49,760 --> 00:02:53,359 Speaker 4: I mean, we are seeing even news like Apple asking, 51 00:02:53,440 --> 00:02:57,680 Speaker 4: you know, China for qualification of or sorry, the US 52 00:02:57,760 --> 00:03:01,920 Speaker 4: government for qualification of a Chinese mena rename is creating 53 00:03:02,400 --> 00:03:06,119 Speaker 4: a lot of downside for the US memory names and 54 00:03:06,440 --> 00:03:09,880 Speaker 4: you know your Micron and even ske Heinex. So that's 55 00:03:09,919 --> 00:03:12,480 Speaker 4: the kind of environment we are in where any sort 56 00:03:12,520 --> 00:03:16,480 Speaker 4: of news creates that sort of action where you know, 57 00:03:16,520 --> 00:03:20,239 Speaker 4: if socks were trading at a high valuation, they it's 58 00:03:20,280 --> 00:03:24,000 Speaker 4: going to have an impact. And I think the fundamentals 59 00:03:24,000 --> 00:03:26,160 Speaker 4: haven't really changed in a big way, which I think 60 00:03:26,200 --> 00:03:29,720 Speaker 4: will be validated when these companies report their earnings and 61 00:03:29,760 --> 00:03:32,400 Speaker 4: guide for CAPEX, which I expect numbers to go up. 62 00:03:32,840 --> 00:03:35,920 Speaker 4: But we are in an environment where news will have 63 00:03:36,000 --> 00:03:37,760 Speaker 4: an impact on day to day volativity. 64 00:03:38,360 --> 00:03:41,440 Speaker 3: Mandy, do you think that this is a sign that 65 00:03:41,560 --> 00:03:44,800 Speaker 3: investors should see this as a threat to USAI leadership 66 00:03:44,880 --> 00:03:47,080 Speaker 3: or is it just simply more competition, which is what 67 00:03:47,120 --> 00:03:48,320 Speaker 3: we should expect anyway. 68 00:03:49,520 --> 00:03:53,119 Speaker 4: I think the overall message here is you can't have 69 00:03:53,280 --> 00:03:57,680 Speaker 4: two companies dominate the LLM race. It's never going to 70 00:03:57,720 --> 00:04:02,160 Speaker 4: be good from, you know, an ecosystem perspective. They will 71 00:04:02,280 --> 00:04:06,560 Speaker 4: have very high margins, which is definitely not something that 72 00:04:07,040 --> 00:04:10,600 Speaker 4: all the other companies want in the ecosystem. So there 73 00:04:10,760 --> 00:04:15,119 Speaker 4: is a desire to have more llms and cheaper pricing 74 00:04:15,280 --> 00:04:19,320 Speaker 4: for these llms. And that's why if the option is 75 00:04:19,320 --> 00:04:23,400 Speaker 4: available through open source Chinese models, people are looking into 76 00:04:23,480 --> 00:04:26,719 Speaker 4: it now and it's across the board, and it's not 77 00:04:26,800 --> 00:04:30,200 Speaker 4: different from any other technology trend. You want to see 78 00:04:30,240 --> 00:04:33,279 Speaker 4: the costs come down as adoption goes up. That wasn't 79 00:04:33,320 --> 00:04:36,520 Speaker 4: happening here, and I think that's why you are seeing 80 00:04:36,520 --> 00:04:39,320 Speaker 4: so much interest in open source lms right now. 81 00:04:39,480 --> 00:04:42,560 Speaker 2: Okay, so China with deep Sneak and now Moonshot, these 82 00:04:42,600 --> 00:04:44,600 Speaker 2: developments when we hear about it kind of feels like 83 00:04:44,640 --> 00:04:47,000 Speaker 2: it comes fromund nowhere, mainly because we haven't been following 84 00:04:47,080 --> 00:04:50,479 Speaker 2: the incremental news on it. Are there other places or 85 00:04:50,520 --> 00:04:53,880 Speaker 2: other companies that could surprise us in the same way 86 00:04:53,920 --> 00:04:56,960 Speaker 2: where suddenly they come out with a fully formed AI 87 00:04:57,080 --> 00:04:59,159 Speaker 2: model LM that we didn't know about. 88 00:05:00,320 --> 00:05:05,520 Speaker 4: Yeah, I mean look at Meta announcing the Muse models 89 00:05:05,560 --> 00:05:08,240 Speaker 4: and you know, trying to become a cloud provider and 90 00:05:08,320 --> 00:05:13,040 Speaker 4: selling their APIs externally. We've heard about Grock, you know 91 00:05:13,400 --> 00:05:18,039 Speaker 4: SpaceX Grock, and now with the merger with Cursor, they 92 00:05:18,040 --> 00:05:21,159 Speaker 4: have released a new model. So all these could be 93 00:05:21,320 --> 00:05:25,000 Speaker 4: viable options in terms of using llms at a lower 94 00:05:25,040 --> 00:05:29,240 Speaker 4: token pricing than what the frontier models are currently giving. 95 00:05:29,360 --> 00:05:32,640 Speaker 4: And so that's where the competition is going to increase. 96 00:05:33,120 --> 00:05:36,240 Speaker 4: But I go back to that functionality point. All these 97 00:05:36,400 --> 00:05:40,200 Speaker 4: lms are still trailing in terms of the functionality that 98 00:05:40,320 --> 00:05:43,800 Speaker 4: pable or you know, the open AI models have, so 99 00:05:43,960 --> 00:05:46,760 Speaker 4: that gap needs to close and then people will route 100 00:05:47,400 --> 00:05:50,279 Speaker 4: the query to the LM that's most appropriate for that 101 00:05:50,440 --> 00:05:53,480 Speaker 4: task and you don't need the frontier lms for every query. 102 00:05:53,520 --> 00:05:55,440 Speaker 4: And I think that's the direction we're headed. 103 00:05:56,120 --> 00:05:56,760 Speaker 1: Stay with us. 104 00:05:56,800 --> 00:05:58,960 Speaker 2: More from Boomberg Intelligence coming up after this. 105 00:06:03,200 --> 00:06:06,880 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 106 00:06:06,960 --> 00:06:10,080 Speaker 1: weekdays at ten am Eastern on Apple Cocklay and Android 107 00:06:10,080 --> 00:06:13,400 Speaker 1: Auto with the Bloomberg Business app. Listen on demand. Wherever 108 00:06:13,440 --> 00:06:16,760 Speaker 1: you get your podcasts or watch us live on YouTube. 109 00:06:17,240 --> 00:06:20,360 Speaker 3: I'm Isabelle sitting in for Scarlettfoo and Paul Sweeney. Both 110 00:06:20,400 --> 00:06:22,240 Speaker 3: are away at the moment. Paul is at the beach, 111 00:06:22,320 --> 00:06:24,760 Speaker 3: I think, and Scarlettfoo is with her TV duties. But 112 00:06:24,839 --> 00:06:27,840 Speaker 3: beside me is a legendary Charlie Pellett. So I am 113 00:06:27,920 --> 00:06:29,520 Speaker 3: in fantastic company. 114 00:06:29,800 --> 00:06:31,680 Speaker 5: I'm very glad to be here. We shut just a 115 00:06:31,720 --> 00:06:33,560 Speaker 5: few minutes together, but we are going to make the 116 00:06:33,560 --> 00:06:35,000 Speaker 5: most of it. And let us talk about one of 117 00:06:35,040 --> 00:06:39,080 Speaker 5: the most popular stocks to cover, and that is Apple, Apple. 118 00:06:38,880 --> 00:06:41,520 Speaker 3: Apple, And we have no other than markom and Bloomberg 119 00:06:41,560 --> 00:06:44,919 Speaker 3: News Managing editor for Global Consumer Tech on Apple and 120 00:06:45,000 --> 00:06:46,720 Speaker 3: all things Apple. Here is what I call in my 121 00:06:46,800 --> 00:06:50,160 Speaker 3: old scoop machine, because anything anytime I see on Apple headline, 122 00:06:50,160 --> 00:06:52,720 Speaker 3: I know it has to be Mark. So Mark, first 123 00:06:52,760 --> 00:06:55,000 Speaker 3: of all, we have to talk about Apple briefly or 124 00:06:55,040 --> 00:06:57,160 Speaker 3: at one point they're passing in video as a most 125 00:06:57,240 --> 00:06:59,960 Speaker 3: valuable company in the world. Maybe talk to us about 126 00:07:00,120 --> 00:07:02,320 Speaker 3: significance of that. What is Apple doing right because the 127 00:07:02,360 --> 00:07:04,839 Speaker 3: rest of the big tech is kind of languishing. 128 00:07:05,080 --> 00:07:09,000 Speaker 6: Apple stock's been on a tear lately. I think investors 129 00:07:09,080 --> 00:07:13,200 Speaker 6: might finally be reading my articles where I talk about 130 00:07:13,280 --> 00:07:16,600 Speaker 6: that we're about to enter a tremendous new period for 131 00:07:16,640 --> 00:07:22,320 Speaker 6: the company, with so many new products home devices, foldable iPhones, 132 00:07:22,520 --> 00:07:28,320 Speaker 6: AI wearables, integrating AI deep into the hardware. Apple's a 133 00:07:28,360 --> 00:07:31,400 Speaker 6: hardware company. They make basically all their money from hardware sales. 134 00:07:32,240 --> 00:07:34,480 Speaker 6: If you're an Apple investor, it's a good time because 135 00:07:34,520 --> 00:07:36,560 Speaker 6: they're about to make a boatload of more money, and 136 00:07:36,600 --> 00:07:39,480 Speaker 6: so you'll probably have some success there on the on 137 00:07:39,560 --> 00:07:41,080 Speaker 6: the days they announced. 138 00:07:40,680 --> 00:07:42,880 Speaker 5: Their all right, I go to the Bloomberg. I look 139 00:07:42,920 --> 00:07:45,600 Speaker 5: at Apple shares up twenty two point five percent year 140 00:07:45,640 --> 00:07:48,040 Speaker 5: to date. I look at in video by Comparison up 141 00:07:48,160 --> 00:07:51,600 Speaker 5: nine point nine percent. When a story like this saying 142 00:07:51,640 --> 00:07:53,920 Speaker 5: Apple is now number one in terms of market cap 143 00:07:54,320 --> 00:07:58,600 Speaker 5: clears the Bloomberg. What is the reaction, respectively, in either 144 00:07:58,840 --> 00:08:03,000 Speaker 5: Coopertino or Santa Clara. Are the folks that Nvidia looking going, 145 00:08:03,120 --> 00:08:05,880 Speaker 5: oh my god, what a terrible day this is? Folks 146 00:08:05,880 --> 00:08:08,480 Speaker 5: in Coopertino are they going woohoo? Or is it really 147 00:08:08,520 --> 00:08:11,720 Speaker 5: a case of nobody cares other than the folks who 148 00:08:11,840 --> 00:08:12,920 Speaker 5: own those stocks. 149 00:08:13,040 --> 00:08:15,640 Speaker 6: I think it's the ladder. But if you're in Vidia, 150 00:08:16,000 --> 00:08:17,360 Speaker 6: right this might be a little bit of a wake 151 00:08:17,400 --> 00:08:21,200 Speaker 6: up call. I mean, they were the hard charging company 152 00:08:21,400 --> 00:08:24,040 Speaker 6: making all the money with the insane revenue growth over 153 00:08:24,040 --> 00:08:27,120 Speaker 6: the past couple of years, and now investors are beginning 154 00:08:27,160 --> 00:08:29,560 Speaker 6: to become a little bit more skeptical over AI and 155 00:08:29,600 --> 00:08:32,640 Speaker 6: how AI is being driven. I think there's a little 156 00:08:32,640 --> 00:08:36,080 Speaker 6: bit more optimism for what Apple's doing because of their 157 00:08:36,600 --> 00:08:39,600 Speaker 6: decision to go more on device for AI processing, and 158 00:08:39,640 --> 00:08:43,040 Speaker 6: so their capex is slim compared to the competition, and 159 00:08:43,120 --> 00:08:45,640 Speaker 6: I think that the lower spending that Apple is doing, 160 00:08:45,880 --> 00:08:49,920 Speaker 6: I think it makes investors actually pretty excited. But again, 161 00:08:50,000 --> 00:08:53,200 Speaker 6: the quality of the AI that you're getting from the 162 00:08:53,240 --> 00:08:55,720 Speaker 6: cloud versus on device are still a big, you know, 163 00:08:56,000 --> 00:08:58,800 Speaker 6: deviation there. But the gap will close at some point, 164 00:08:58,800 --> 00:08:59,120 Speaker 6: I think. 165 00:08:59,320 --> 00:09:01,520 Speaker 3: And then you said that Apple is set to make 166 00:09:01,559 --> 00:09:03,600 Speaker 3: a boatload of money. Where will that come from? We 167 00:09:03,640 --> 00:09:06,000 Speaker 3: do know that they're raising their prices across devices. Is 168 00:09:06,040 --> 00:09:06,880 Speaker 3: that coming from there? 169 00:09:07,280 --> 00:09:10,719 Speaker 6: Well, the revenue will go up because of the price increases. 170 00:09:11,160 --> 00:09:13,680 Speaker 6: I don't think the price increases are enough to slow 171 00:09:13,800 --> 00:09:18,000 Speaker 6: unit sales to any significant degree. Profit not going to 172 00:09:18,280 --> 00:09:24,440 Speaker 6: change much because the offset the price increases are designed 173 00:09:24,440 --> 00:09:27,040 Speaker 6: to simply offset the memory they're not making additional profit 174 00:09:27,080 --> 00:09:29,800 Speaker 6: on that. We're talking about new iPads. There'll be a 175 00:09:29,880 --> 00:09:32,080 Speaker 6: new ole at iPad, so a better screen like the 176 00:09:32,080 --> 00:09:33,280 Speaker 6: iPhone and iPad pro. 177 00:09:33,360 --> 00:09:33,920 Speaker 5: This fall. 178 00:09:34,160 --> 00:09:36,719 Speaker 6: The foldable iPhone is going to be about twenty five 179 00:09:36,800 --> 00:09:38,400 Speaker 6: hundred bucks. I'm super pumped. 180 00:09:38,520 --> 00:09:39,960 Speaker 3: I want to see that in real life. 181 00:09:40,000 --> 00:09:41,960 Speaker 6: I can't wait. Yeah, it's going to be the biggest 182 00:09:42,040 --> 00:09:44,880 Speaker 6: change to the iPhone in the product's history. So it's 183 00:09:44,920 --> 00:09:46,640 Speaker 6: a really really big deal full time. 184 00:09:47,200 --> 00:09:49,880 Speaker 5: I'm not necessarily a skeptic with things like this, but 185 00:09:50,120 --> 00:09:53,000 Speaker 5: why do I need a folding phone? Thank you? As well? 186 00:09:53,040 --> 00:09:55,800 Speaker 5: Regardless of whether it's Apple, regardless of whether it's sound 187 00:09:56,040 --> 00:09:57,400 Speaker 5: well gen Z influced, well. 188 00:09:57,320 --> 00:09:58,840 Speaker 6: I would say you need a foldable phone like you 189 00:09:58,840 --> 00:10:00,720 Speaker 6: need a hole in your head, because it doesn't really 190 00:10:00,760 --> 00:10:05,400 Speaker 6: make you know, it's not really uh that necessary. It's 191 00:10:05,400 --> 00:10:08,760 Speaker 6: sort of a technology showcase, right, It's over the top. 192 00:10:09,120 --> 00:10:12,160 Speaker 5: It's very cool. I mean when I've seen these foldable phones, 193 00:10:12,200 --> 00:10:15,120 Speaker 5: I'm always looking for the line and I don't see it. 194 00:10:15,200 --> 00:10:17,200 Speaker 5: I don't see the line between the two screens. 195 00:10:17,240 --> 00:10:20,480 Speaker 6: We've gotten better and Apple is going to be pretty 196 00:10:20,520 --> 00:10:24,840 Speaker 6: much industry leading in how you know invisible that line 197 00:10:24,880 --> 00:10:27,439 Speaker 6: is going to be. One of the problems you've had 198 00:10:27,440 --> 00:10:30,320 Speaker 6: with foldable phones over the past several years is durability. 199 00:10:31,160 --> 00:10:33,440 Speaker 6: Apples is not going to be as durable as you 200 00:10:33,440 --> 00:10:39,120 Speaker 6: know the slab phone, right, I mean the Promax, the 201 00:10:39,160 --> 00:10:42,160 Speaker 6: seventeen Promacs. This thing is built like a tank. You 202 00:10:42,200 --> 00:10:45,400 Speaker 6: can throw it across wherever, you can throw it in 203 00:10:45,440 --> 00:10:47,040 Speaker 6: the pool. This thing is not going to break. 204 00:10:47,120 --> 00:10:47,679 Speaker 5: It's a tank. 205 00:10:48,920 --> 00:10:53,199 Speaker 6: At the same time, what you really need to understand 206 00:10:53,240 --> 00:10:54,640 Speaker 6: is that Apples hold the phone is going to be 207 00:10:54,640 --> 00:10:56,120 Speaker 6: more durable than the competitive devices. 208 00:10:56,280 --> 00:10:58,719 Speaker 3: Yeah, okay, so we have around one minute left, and 209 00:10:58,760 --> 00:11:01,040 Speaker 3: as Apple invests more in AI and new devices, do 210 00:11:01,080 --> 00:11:03,560 Speaker 3: you think it can maintain its premium position because we 211 00:11:03,600 --> 00:11:06,720 Speaker 3: also know that smartphone growth is slowing a little. 212 00:11:08,240 --> 00:11:10,679 Speaker 6: I think that Apple, if you look at it as 213 00:11:10,720 --> 00:11:14,400 Speaker 6: a complete package, you look at the hardware, software services, 214 00:11:15,160 --> 00:11:16,880 Speaker 6: they still think they have the most competitive phone on 215 00:11:16,880 --> 00:11:19,240 Speaker 6: the market on a global scale. I think it's the 216 00:11:19,240 --> 00:11:24,840 Speaker 6: best combination of user accessibility, interface services, things like my Message. 217 00:11:24,920 --> 00:11:27,319 Speaker 6: So I think it remains an elite product and I 218 00:11:27,360 --> 00:11:29,080 Speaker 6: don't think the phone is going away as quickly as 219 00:11:29,120 --> 00:11:29,560 Speaker 6: some people do. 220 00:11:29,960 --> 00:11:33,600 Speaker 5: Mark very briefly, Isabelle asked about revenue. Whenever Apple earnings 221 00:11:33,679 --> 00:11:35,360 Speaker 5: hit the Bloomberg one of the first things I look 222 00:11:35,400 --> 00:11:38,520 Speaker 5: at is China revenue. Speak to us about what is 223 00:11:38,520 --> 00:11:41,120 Speaker 5: happening in terms of Apple and China. I know there 224 00:11:41,160 --> 00:11:43,680 Speaker 5: was some news announced about the iPhone in China. What's 225 00:11:43,720 --> 00:11:44,280 Speaker 5: going on there? 226 00:11:44,440 --> 00:11:46,400 Speaker 6: So Apple will finally be able to roll out its 227 00:11:46,440 --> 00:11:49,680 Speaker 6: AI in China. This is the first generation version of 228 00:11:49,760 --> 00:11:52,160 Speaker 6: its new AI, so the Apple intelligence that got the 229 00:11:52,200 --> 00:11:54,319 Speaker 6: head of AI fired. So I don't think this is 230 00:11:54,360 --> 00:11:56,280 Speaker 6: a needle mover. I don't think people in China are 231 00:11:56,320 --> 00:11:58,079 Speaker 6: going to want it. But the second generation, the new 232 00:11:58,120 --> 00:12:00,800 Speaker 6: SERIAI and the new Apple Intelligence is pretty good, so 233 00:12:00,800 --> 00:12:02,600 Speaker 6: we'll see how long it takes for that to get approved. 234 00:12:03,400 --> 00:12:06,280 Speaker 2: Stay with us more from Bloomberg Intelligence coming up after this. 235 00:12:09,920 --> 00:12:13,640 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 236 00:12:13,720 --> 00:12:16,800 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 237 00:12:16,840 --> 00:12:20,120 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 238 00:12:20,200 --> 00:12:23,720 Speaker 1: you get your podcasts, or watch us live on YouTube. 239 00:12:24,520 --> 00:12:26,880 Speaker 3: I myself, I am a binge watcher when it comes 240 00:12:26,920 --> 00:12:29,400 Speaker 3: to Netflix. But you made a point earlier, Scarlette. There 241 00:12:29,400 --> 00:12:31,600 Speaker 3: are already many people in Netflix account and where do 242 00:12:31,640 --> 00:12:32,439 Speaker 3: they take their growth. 243 00:12:32,679 --> 00:12:36,120 Speaker 2: Yeah, well, aside from making sure that your brother or 244 00:12:36,240 --> 00:12:38,480 Speaker 2: your husband is not using your. 245 00:12:38,320 --> 00:12:40,920 Speaker 3: Account, that is true, and that's why you're seeing this 246 00:12:40,960 --> 00:12:44,040 Speaker 3: stock down as alexis eluded more than nine percent. It's 247 00:12:44,080 --> 00:12:46,920 Speaker 3: the biggest inter dated client since April twenty twenty two. 248 00:12:46,960 --> 00:12:49,480 Speaker 3: And joining us now to help us make sense of this, 249 00:12:49,600 --> 00:12:53,520 Speaker 3: it's Githa Aganathan, Bloomberg Intelligence Analysts on US Media. Githa, 250 00:12:53,640 --> 00:12:55,800 Speaker 3: thank you so much for joining us. Do you think 251 00:12:55,840 --> 00:12:58,240 Speaker 3: that this is that this slow and growth is the 252 00:12:58,320 --> 00:12:59,960 Speaker 3: short term issue or do you think it's a sign 253 00:13:00,120 --> 00:13:03,200 Speaker 3: that Netflix maybe is becoming a more mature market. 254 00:13:04,160 --> 00:13:08,040 Speaker 7: Definitely, Isabelle. You know, we are seeing signs of maturity 255 00:13:08,080 --> 00:13:11,400 Speaker 7: across the entire landscape and definitely for Netflix as well. 256 00:13:11,440 --> 00:13:16,319 Speaker 7: So you know, moderating revenue growth is definitely a big 257 00:13:16,360 --> 00:13:19,280 Speaker 7: red flag here, and we've seen the revenue growth actually 258 00:13:19,280 --> 00:13:22,360 Speaker 7: come down pretty substantially, which is what I think is 259 00:13:22,400 --> 00:13:24,760 Speaker 7: really spooking investors, right because in the first quarter you 260 00:13:24,800 --> 00:13:27,440 Speaker 7: had about sixteen percent revenue growth, almost fourteen percent for 261 00:13:27,480 --> 00:13:29,560 Speaker 7: the second quarter, and now when you look at their 262 00:13:29,600 --> 00:13:32,360 Speaker 7: guidance for the third quarter, it's eleven point seven percent, 263 00:13:32,440 --> 00:13:35,880 Speaker 7: which was well below what consensus was expecting. So this, 264 00:13:35,880 --> 00:13:40,000 Speaker 7: this really I think feeds into that whole investor anxiety 265 00:13:40,120 --> 00:13:43,360 Speaker 7: about you know, what the catalysts are going. 266 00:13:43,200 --> 00:13:46,120 Speaker 2: Forward for this name, and this is not something that 267 00:13:46,160 --> 00:13:49,319 Speaker 2: can be solved with more spending on content and making 268 00:13:49,360 --> 00:13:52,640 Speaker 2: sure you have the latest hot show or the latest franchise. 269 00:13:52,760 --> 00:13:57,480 Speaker 7: Is it well, they actually scarlett to that point. They're 270 00:13:57,520 --> 00:14:01,200 Speaker 7: actually boosting content spending pretty significant this year, almost ten 271 00:14:01,240 --> 00:14:04,280 Speaker 7: percent to twenty billion dollars. That's the highest ever that 272 00:14:04,320 --> 00:14:06,800 Speaker 7: they would be spending on content. But you know, if 273 00:14:06,840 --> 00:14:10,160 Speaker 7: you look at the Engagement Report which they published yesterday, 274 00:14:10,360 --> 00:14:13,560 Speaker 7: yes they do have, you know, this very broad swath 275 00:14:13,640 --> 00:14:17,600 Speaker 7: of content, and but at the end of the day, 276 00:14:17,840 --> 00:14:22,160 Speaker 7: we're not necessarily seeing that resonate into what, you know, 277 00:14:22,360 --> 00:14:25,880 Speaker 7: the metric that all investors are focused on, which is engagement, 278 00:14:25,960 --> 00:14:28,960 Speaker 7: because while the total number of hours viewed did grow 279 00:14:29,240 --> 00:14:33,800 Speaker 7: slightly two percent from last year, the viewing hours per 280 00:14:33,960 --> 00:14:37,480 Speaker 7: subscriber is actually declining. And the big worry I think 281 00:14:37,520 --> 00:14:41,000 Speaker 7: for investors is that as we get disruption from short 282 00:14:41,040 --> 00:14:44,920 Speaker 7: form video, from YouTube, from you know, Instagram, TikTok and 283 00:14:44,960 --> 00:14:48,560 Speaker 7: all of these other social media platforms, can Netflix actually 284 00:14:48,800 --> 00:14:51,920 Speaker 7: retain that you know, engagement metric and is it only 285 00:14:51,960 --> 00:14:52,960 Speaker 7: going to slip further. 286 00:14:54,840 --> 00:14:56,680 Speaker 3: So, Githa, do you think we're heading towards a more 287 00:14:56,720 --> 00:15:01,120 Speaker 3: consolidation in streaming maybe as companies chase scale and profits. 288 00:15:02,400 --> 00:15:05,000 Speaker 7: I think we already saw that, right. So Netflix actually 289 00:15:05,000 --> 00:15:09,960 Speaker 7: did go after Warner Brothers Discovery streaming and studio business 290 00:15:10,000 --> 00:15:14,160 Speaker 7: last year pretty aggressively until they finally lost to Paramount Skuidance. 291 00:15:14,800 --> 00:15:17,680 Speaker 7: I think you know at this point, yes, Netflix is 292 00:15:17,720 --> 00:15:21,360 Speaker 7: doing little little things, you know, whether it's adding you know, 293 00:15:21,440 --> 00:15:24,320 Speaker 7: short form content, whether it's going into live events, whether 294 00:15:24,360 --> 00:15:26,720 Speaker 7: it's you know, doing a little bit more in gaming, 295 00:15:27,160 --> 00:15:30,280 Speaker 7: but none of these are transformative enough. You know, we 296 00:15:30,400 --> 00:15:33,760 Speaker 7: need some kind of a step change catalyst here and 297 00:15:33,800 --> 00:15:36,640 Speaker 7: we're really not seeing anything. So maybe M and A, 298 00:15:36,880 --> 00:15:39,400 Speaker 7: maybe some kind of a transformative partnership, maybe some kind 299 00:15:39,400 --> 00:15:43,200 Speaker 7: of a big acquisition will finally move the needle for Netflix, 300 00:15:43,280 --> 00:15:45,000 Speaker 7: but we have to wait and watch. 301 00:15:45,360 --> 00:15:47,280 Speaker 2: That's so interesting, and I know this is something you've 302 00:15:47,280 --> 00:15:49,920 Speaker 2: written about, Gita, this idea that Netflix now has M 303 00:15:49,920 --> 00:15:53,080 Speaker 2: and A ambitions when it had kind of denied that 304 00:15:53,280 --> 00:15:56,280 Speaker 2: it was looking to do that. It's always prioritize organic 305 00:15:56,280 --> 00:15:59,120 Speaker 2: growth and reinvesting in its own business. What does that 306 00:15:59,240 --> 00:16:03,240 Speaker 2: say about the state of the streaming wars overall? That 307 00:16:03,320 --> 00:16:07,960 Speaker 2: Netflix needs to buy to consolidate its grip on the market. 308 00:16:09,200 --> 00:16:12,360 Speaker 7: Yeah, I mean, we're really seeing competition kind of intensifying, 309 00:16:12,400 --> 00:16:15,080 Speaker 7: and we're going to see that only intensified further, Scarlett 310 00:16:15,160 --> 00:16:18,520 Speaker 7: once Paramount closes on its acquisition of you know, Warner 311 00:16:18,520 --> 00:16:21,560 Speaker 7: Brothers and HBO, and Netflix really needs to kind of 312 00:16:21,880 --> 00:16:24,800 Speaker 7: beef up the content because obviously it's the lack of 313 00:16:24,880 --> 00:16:27,960 Speaker 7: those breakout hits. Yes, they did have great content, they 314 00:16:27,960 --> 00:16:30,560 Speaker 7: did have a great pipeline. Yes we did see good 315 00:16:30,560 --> 00:16:33,520 Speaker 7: growth in viewing hours, but that's just not enough as 316 00:16:33,520 --> 00:16:36,960 Speaker 7: we have more and more of you know, it's not 317 00:16:37,000 --> 00:16:39,800 Speaker 7: just competition and streaming though, that's that's the problem. It's 318 00:16:39,840 --> 00:16:42,640 Speaker 7: competition from all kinds of platforms. You know, we talked 319 00:16:42,640 --> 00:16:46,680 Speaker 7: about the social media platforms, and that's really what Netflix 320 00:16:46,680 --> 00:16:49,160 Speaker 7: has to kind of defend its surf against. And for that, 321 00:16:49,200 --> 00:16:53,240 Speaker 7: they have to come up with bigger, better, more engaging 322 00:16:53,320 --> 00:16:56,800 Speaker 7: content and they might very well need to buy a 323 00:16:56,840 --> 00:16:57,720 Speaker 7: studio for that. 324 00:16:58,480 --> 00:17:02,320 Speaker 3: What about the live sports podcast and ads initiatives? How 325 00:17:02,360 --> 00:17:04,520 Speaker 3: meaningful are those when it comes to driving growth. Are 326 00:17:04,560 --> 00:17:06,200 Speaker 3: you bullish on them? 327 00:17:06,280 --> 00:17:06,480 Speaker 4: Do you? 328 00:17:06,760 --> 00:17:08,359 Speaker 3: I feel like Scarlett and I were talking about it, 329 00:17:08,359 --> 00:17:10,680 Speaker 3: and almost everyone has a podcast these days. 330 00:17:11,440 --> 00:17:14,080 Speaker 7: Yeah, So on the margin, I think it definitely helps 331 00:17:14,119 --> 00:17:16,520 Speaker 7: because you know, at the end of the day, Netflix is, 332 00:17:16,520 --> 00:17:18,480 Speaker 7: you know, something you go home to in the evening 333 00:17:18,480 --> 00:17:21,159 Speaker 7: and then you're watching it. But I think with podcasts, 334 00:17:21,240 --> 00:17:24,240 Speaker 7: it's something that they're trying to build on through the day, right, 335 00:17:24,280 --> 00:17:27,879 Speaker 7: They're trying to build on engagement. You know, anytime you 336 00:17:28,240 --> 00:17:30,000 Speaker 7: pick up your phone, you have some content that you 337 00:17:30,040 --> 00:17:33,280 Speaker 7: can kind of listen to or look at, and that 338 00:17:33,359 --> 00:17:36,840 Speaker 7: is really what they were trying to go after. But 339 00:17:36,960 --> 00:17:39,560 Speaker 7: at the you know, again it's on the margin. Yes, 340 00:17:39,640 --> 00:17:41,800 Speaker 7: it helps, but doesn't move the needle. 341 00:17:43,760 --> 00:17:48,440 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 342 00:17:48,640 --> 00:17:52,120 Speaker 1: and anywhere else you get your podcasts. Listen live each 343 00:17:52,119 --> 00:17:55,840 Speaker 1: weekday ten am to noon Eastern on Bloomberg dot Com, 344 00:17:56,000 --> 00:17:59,600 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business app. 345 00:18:00,040 --> 00:18:02,920 Speaker 1: You can also watch us live every weekday on YouTube 346 00:18:03,280 --> 00:18:05,520 Speaker 1: and always on the Bloomberg terminal