1 00:00:02,480 --> 00:00:08,080 Speaker 1: Bloomberg Audio Studios, podcasts, radio, news and earnings Palooza. 2 00:00:08,360 --> 00:00:12,560 Speaker 2: Looking at shares of meta platforms right now. They are 3 00:00:12,720 --> 00:00:15,920 Speaker 2: lower in the after hours, but not by much. They 4 00:00:15,920 --> 00:00:18,319 Speaker 2: were bouncing around a little bit, but now down about 5 00:00:18,360 --> 00:00:21,840 Speaker 2: one point one percent. We got news at the company. 6 00:00:22,680 --> 00:00:24,759 Speaker 2: He's fourth quarter revenue coming pretty much in line with 7 00:00:24,840 --> 00:00:27,720 Speaker 2: estimates forty five billion to forty eight billion dollars. Mark 8 00:00:27,800 --> 00:00:31,000 Speaker 2: Zuckerberg himself calling it a pretty good quarter, a good 9 00:00:31,040 --> 00:00:33,840 Speaker 2: quarter in the press release. Let's see what Mandeep Saying 10 00:00:33,920 --> 00:00:36,839 Speaker 2: has to say about that. Mandeep joins us here in 11 00:00:37,000 --> 00:00:40,800 Speaker 2: the Bloomberg Interactive Broker Studio's Bloomberg Intelligence senior technology analyst. 12 00:00:40,880 --> 00:00:43,519 Speaker 2: He's looking at these numbers. What sticks out to you, 13 00:00:43,600 --> 00:00:45,800 Speaker 2: especially in the wake of what we heard yesterday from Alphabet. 14 00:00:46,080 --> 00:00:49,000 Speaker 3: Yeah, I think most of the numbers that I see 15 00:00:49,040 --> 00:00:51,440 Speaker 3: are in line with the expectations. I mean, the one 16 00:00:51,479 --> 00:00:55,040 Speaker 3: thing is ad pricing. So ad pricing continues to tick up. 17 00:00:55,120 --> 00:00:56,800 Speaker 3: If you look at this quarter, I think it was 18 00:00:56,840 --> 00:01:00,360 Speaker 3: around eleven percent. Impressions went down a little bit, and 19 00:01:00,960 --> 00:01:03,520 Speaker 3: it's just the function of how well they have been 20 00:01:03,600 --> 00:01:08,240 Speaker 3: executing in terms of, you know, implementing generative AI and 21 00:01:08,319 --> 00:01:14,440 Speaker 3: really making changes that compared to Snap who reported yesterday 22 00:01:14,800 --> 00:01:18,520 Speaker 3: we saw snaps at pricing decline. So you know, that 23 00:01:18,680 --> 00:01:21,280 Speaker 3: just goes to show at what scale care we really 24 00:01:21,319 --> 00:01:25,160 Speaker 3: compare the two well, I mean, digital ads is a 25 00:01:25,200 --> 00:01:29,080 Speaker 3: function of how much you are better in terms of 26 00:01:29,120 --> 00:01:32,840 Speaker 3: targeting versus the other platforms. So Google Search at pricing 27 00:01:32,880 --> 00:01:36,880 Speaker 3: grew seven percent, Meta platforms at pricing grew eleven percent, 28 00:01:37,319 --> 00:01:40,559 Speaker 3: Snap at pricing down seven percent. So it just goes 29 00:01:40,560 --> 00:01:43,840 Speaker 3: to show it's easy to monetize on Snap, but you 30 00:01:43,880 --> 00:01:46,480 Speaker 3: are not getting the ROI. In the case of Google 31 00:01:46,600 --> 00:01:49,760 Speaker 3: and Meta, you are getting an ROI on your ad 32 00:01:49,800 --> 00:01:52,600 Speaker 3: spend and that's why advertisers are willing to spend more. 33 00:01:52,680 --> 00:01:55,840 Speaker 3: So it's a function of scale, but the effectiveness is there, 34 00:01:55,880 --> 00:01:59,240 Speaker 3: and that's evident in meta platforms. 35 00:02:00,160 --> 00:02:02,000 Speaker 4: To talk about all kookie things that they're still spending 36 00:02:02,040 --> 00:02:05,040 Speaker 4: money on. Reality Labs posting a four point four billion 37 00:02:05,120 --> 00:02:08,600 Speaker 4: dollar loss in the third quarter, it's revenue did rise 38 00:02:08,680 --> 00:02:11,200 Speaker 4: twenty nine percent year over year to two hundred and 39 00:02:11,200 --> 00:02:13,639 Speaker 4: seventy million dollars in the third quarter. That was actually 40 00:02:13,639 --> 00:02:17,200 Speaker 4: below analyst expectations four point four billion dollars. What are 41 00:02:17,240 --> 00:02:19,000 Speaker 4: they doing over at Reality Labs. 42 00:02:19,280 --> 00:02:23,000 Speaker 3: Mean, we know, it's the investments in the VR headsets, 43 00:02:23,080 --> 00:02:25,440 Speaker 3: the ray bang glasses we have talked about at Land 44 00:02:25,560 --> 00:02:29,200 Speaker 3: and look, I think they will always be a drag 45 00:02:29,280 --> 00:02:32,680 Speaker 3: on the overall operating profit because even if they sell 46 00:02:32,720 --> 00:02:36,840 Speaker 3: you know, one hundreds thousands millions of these, the margins 47 00:02:36,840 --> 00:02:39,959 Speaker 3: will never be comparable to their core ADS business, which 48 00:02:40,000 --> 00:02:44,400 Speaker 3: is north of fifty percent. So hardware is a money 49 00:02:44,480 --> 00:02:47,440 Speaker 3: losing business for Meta right now. And that's what's evident 50 00:02:47,480 --> 00:02:49,320 Speaker 3: in that four point four billion dollar loss. 51 00:02:49,440 --> 00:02:51,200 Speaker 2: One of the headlines coming out of these numbers. Meta 52 00:02:51,240 --> 00:02:54,919 Speaker 2: still sees significant capital expenditures growth in twenty twenty five. 53 00:02:55,560 --> 00:02:57,400 Speaker 2: I feel like I'm talking to someone right now about 54 00:02:57,480 --> 00:03:02,320 Speaker 2: the Federal Reserve minutes. What does quote significant mean here? 55 00:03:02,480 --> 00:03:03,160 Speaker 4: Help us? 56 00:03:03,280 --> 00:03:07,520 Speaker 3: Well, So, look at how much the capex grew in 57 00:03:07,600 --> 00:03:11,160 Speaker 3: twenty twenty four so far, and we're talking about already, 58 00:03:11,240 --> 00:03:14,680 Speaker 3: you know, a twenty percent bump. In the case of Microsoft, 59 00:03:15,040 --> 00:03:18,840 Speaker 3: it's fifty percent, so significant could be fifty percent from 60 00:03:19,840 --> 00:03:23,520 Speaker 3: you know, forty billion this year, and that would get 61 00:03:23,520 --> 00:03:26,360 Speaker 3: it closer to sixty billion. Now. The difference between Meta 62 00:03:26,440 --> 00:03:30,560 Speaker 3: and Microsoft is the capex intensity for Meta is already 63 00:03:30,639 --> 00:03:34,160 Speaker 3: north of twenty percent. Normally for large tech companies, CAPEX 64 00:03:34,200 --> 00:03:37,200 Speaker 3: intensity is like ten to fifteen percent. That's where Alphabet 65 00:03:37,280 --> 00:03:37,760 Speaker 3: is at. 66 00:03:38,160 --> 00:03:40,480 Speaker 2: So where are they spending this money? Katie mentioned that 67 00:03:40,560 --> 00:03:44,760 Speaker 2: about ten percent of in Nvidia's revenue comes from Meta platforms, 68 00:03:44,800 --> 00:03:48,120 Speaker 2: about twenty percent coming from Microsoft. Yeah, where's where does 69 00:03:48,120 --> 00:03:49,400 Speaker 2: Meta spend this money next year? 70 00:03:50,000 --> 00:03:53,880 Speaker 3: It's going towards GPUs. I mean it's every large tech 71 00:03:53,880 --> 00:03:57,920 Speaker 3: company right now is looking to build bigger data centers 72 00:03:58,200 --> 00:04:00,800 Speaker 3: where they can train their AI. And Meta has that 73 00:04:00,880 --> 00:04:04,760 Speaker 3: distinction of owning a large ANGLD model, their Lama language model, 74 00:04:04,960 --> 00:04:07,040 Speaker 3: which they didn't mention a lot in their release, but 75 00:04:07,080 --> 00:04:08,760 Speaker 3: it will come up on the call. And they have 76 00:04:08,840 --> 00:04:12,280 Speaker 3: talked about Meta AI having five hundred million monthly active 77 00:04:12,360 --> 00:04:15,240 Speaker 3: users that is powered by Lama. In fact, there was 78 00:04:15,280 --> 00:04:19,200 Speaker 3: some talk about Lama being licensed to an Amazon AWS 79 00:04:19,600 --> 00:04:22,440 Speaker 3: so they could start monetizing that. I mean, there's no 80 00:04:22,560 --> 00:04:25,520 Speaker 3: mention of it in the press release, but we will 81 00:04:25,560 --> 00:04:26,560 Speaker 3: hear about that on. 82 00:04:26,440 --> 00:04:27,120 Speaker 1: The earning spot. 83 00:04:27,400 --> 00:04:30,120 Speaker 4: I want to talk a little bit about the share reaction. 84 00:04:30,200 --> 00:04:33,600 Speaker 4: Meta shares currently down over three percent right now, but 85 00:04:33,800 --> 00:04:36,720 Speaker 4: I mean it's been an incredible run for Meta. You 86 00:04:36,760 --> 00:04:39,480 Speaker 4: talk about price to Perfection. I don't know if Perfection 87 00:04:39,600 --> 00:04:41,880 Speaker 4: exactly was priced in, but the bar was certainly high 88 00:04:41,920 --> 00:04:42,400 Speaker 4: for this stock. 89 00:04:42,720 --> 00:04:45,239 Speaker 3: And look at the multiple. The price to earnings multiple 90 00:04:45,279 --> 00:04:48,280 Speaker 3: of Meta is twenty five times forwardunnings compared to an 91 00:04:48,279 --> 00:04:51,840 Speaker 3: Alphabet which is still below twenty times forward earning. So 92 00:04:51,920 --> 00:04:55,640 Speaker 3: clearly there is that gap that Alphabet could catch up 93 00:04:55,680 --> 00:04:58,440 Speaker 3: to these guys in terms of multiples, and Microsoft is 94 00:04:58,480 --> 00:05:01,920 Speaker 3: close to thirty times earning. When you know, the setup 95 00:05:01,960 --> 00:05:05,360 Speaker 3: is such that expectations are higher. I mean, Microsoft had 96 00:05:05,400 --> 00:05:08,160 Speaker 3: thirty four percent growth in Azure. Still that wasn't good 97 00:05:08,279 --> 00:05:11,280 Speaker 3: enough to drive up those stock, So that's where expectations 98 00:05:11,279 --> 00:05:12,600 Speaker 3: come into play. 99 00:05:12,800 --> 00:05:19,480 Speaker 2: You mentioned Lama and the potential integration. Explain to everyone 100 00:05:20,520 --> 00:05:24,280 Speaker 2: what Lama is and how Meta Platforms is actually using 101 00:05:24,279 --> 00:05:27,000 Speaker 2: it outside of sort of internally. I mean, I know, 102 00:05:27,400 --> 00:05:28,839 Speaker 2: I don't know. Am I seeing Lama when I go 103 00:05:28,839 --> 00:05:30,719 Speaker 2: search on Instagram, when I search on WhatsApp? 104 00:05:31,000 --> 00:05:31,240 Speaker 3: Yeah? 105 00:05:31,279 --> 00:05:32,240 Speaker 2: So Lama. 106 00:05:32,360 --> 00:05:35,960 Speaker 3: We've started hearing about Meta getting into their own search business. 107 00:05:36,120 --> 00:05:36,320 Speaker 4: Yeah. 108 00:05:36,400 --> 00:05:40,400 Speaker 3: And look, Google and Meta have that distinction of owning 109 00:05:40,440 --> 00:05:44,039 Speaker 3: their large anglid model, whereas everyone else is dependent on 110 00:05:44,120 --> 00:05:47,839 Speaker 3: open Ai or Anthropic, which are independent companies. So in 111 00:05:47,880 --> 00:05:51,400 Speaker 3: the case of Meta, they've had a lot of success. 112 00:05:52,120 --> 00:05:54,839 Speaker 3: It's like Lama is on three point two release and 113 00:05:54,920 --> 00:05:58,560 Speaker 3: every release is getting better in terms of the native capabilities. 114 00:05:58,640 --> 00:06:00,640 Speaker 2: But can I download Yama as at and alone app 115 00:06:00,720 --> 00:06:01,040 Speaker 2: right now? 116 00:06:01,160 --> 00:06:03,520 Speaker 3: No? No, So this is a large I can't. 117 00:06:03,560 --> 00:06:05,640 Speaker 2: I can't download it like I download Chat GPT and 118 00:06:05,720 --> 00:06:06,440 Speaker 2: use Chat GPT. 119 00:06:06,800 --> 00:06:09,360 Speaker 3: I mean, they're looking to go towards that model where 120 00:06:09,480 --> 00:06:12,520 Speaker 3: you can use Lama in that form. But right now, 121 00:06:12,600 --> 00:06:15,119 Speaker 3: Lama is just being deployed across their family of apps, 122 00:06:15,120 --> 00:06:18,240 Speaker 3: which is Instagram, you know, WhatsApp and Core Blue App. 123 00:06:18,520 --> 00:06:21,880 Speaker 3: But again, owning a large anglid model is such a 124 00:06:22,080 --> 00:06:25,320 Speaker 3: huge moat, and that's where you know, all these companies 125 00:06:25,360 --> 00:06:29,719 Speaker 3: spending on data centers, the compute capacity. What they're looking 126 00:06:29,760 --> 00:06:32,600 Speaker 3: to do is to really build on that large anglid 127 00:06:32,600 --> 00:06:34,280 Speaker 3: model mode. 128 00:06:34,520 --> 00:06:38,400 Speaker 2: There you go, There you go, and deep. We should 129 00:06:38,440 --> 00:06:40,839 Speaker 2: let him get back to work. Call to listen to. 130 00:06:41,320 --> 00:06:44,360 Speaker 2: He's got a report to write, he's busy after Alphabet 131 00:06:44,360 --> 00:06:46,520 Speaker 2: and Snap. Yesterday we made him talk about Reddit. He 132 00:06:46,520 --> 00:06:48,400 Speaker 2: didn't even know he was going to talk about Reddit. Yesterday. 133 00:06:48,560 --> 00:06:50,320 Speaker 2: We made you go everywhere Mannie, thanks so much for 134 00:06:50,720 --> 00:06:54,440 Speaker 2: joining us. Really do appreciate it. Okay, so Meta platform 135 00:06:54,480 --> 00:06:58,160 Speaker 2: shares moving in the after hours, they were down as 136 00:06:58,240 --> 00:07:01,200 Speaker 2: much as three percent, now down about two point seven percent. Katie, 137 00:07:01,279 --> 00:07:04,360 Speaker 2: help me out with Microsoft and what Microsoft is doing. 138 00:07:04,440 --> 00:07:05,960 Speaker 4: I mean, I think it comes back to those high 139 00:07:06,000 --> 00:07:09,520 Speaker 4: expectations as well. You see shares right now was a 140 00:07:09,520 --> 00:07:12,960 Speaker 4: pretty clean quarter overall, and I can't seem to quite 141 00:07:13,000 --> 00:07:15,080 Speaker 4: get off the ground in the after hours trade. We've 142 00:07:15,120 --> 00:07:19,040 Speaker 4: been toggling around what thirty four times earnings, that's what 143 00:07:19,080 --> 00:07:21,760 Speaker 4: it's trading at. That's a pretty high bar, tim. 144 00:07:21,960 --> 00:07:26,120 Speaker 2: Yeah, it is Microsoft clouds computing business, the office software fields, 145 00:07:26,160 --> 00:07:30,800 Speaker 2: stronger then expected quarterly revenue growth. It's a sign that 146 00:07:30,840 --> 00:07:35,040 Speaker 2: the company's heavy investments in AI are starting to pay off. 147 00:07:35,680 --> 00:07:36,640 Speaker 2: All right, let's get more. 148 00:07:36,680 --> 00:07:36,840 Speaker 5: Now. 149 00:07:36,880 --> 00:07:40,160 Speaker 2: We got aniog Rana joining us. He has been looking 150 00:07:40,200 --> 00:07:43,400 Speaker 2: at these numbers for the past thirteen minutes or so. 151 00:07:43,760 --> 00:07:46,720 Speaker 2: He's from Bloomberg Intelligence. Aniog what sticks out to you 152 00:07:46,760 --> 00:07:47,520 Speaker 2: from this report? 153 00:07:49,160 --> 00:07:51,440 Speaker 5: Yeah, the Azure number sticks out to us. That's thirty 154 00:07:51,440 --> 00:07:55,040 Speaker 5: four percent increase in constant currency. That's fairly impressive given 155 00:07:55,080 --> 00:07:57,920 Speaker 5: the size of that business. And another thing they basically 156 00:07:57,960 --> 00:08:01,800 Speaker 5: mentioned was it includes our twelve percentage points of growth 157 00:08:01,800 --> 00:08:05,080 Speaker 5: coming from AI related workloads, and Microsoft is the only 158 00:08:05,120 --> 00:08:09,120 Speaker 5: company that's really quantifying it at a very, very, i 159 00:08:09,120 --> 00:08:11,920 Speaker 5: would say, credible way at this point compared to any 160 00:08:11,920 --> 00:08:14,880 Speaker 5: of the other companies. So you know, But at the 161 00:08:14,880 --> 00:08:17,360 Speaker 5: same time, they're going to give guidance on the conference 162 00:08:17,360 --> 00:08:19,760 Speaker 5: call that's going to be an hour from now, and 163 00:08:19,800 --> 00:08:22,040 Speaker 5: I think that dictates what happens to the stock tomorrow. 164 00:08:22,520 --> 00:08:25,520 Speaker 4: Yeah, and of course it'll be interesting to see how 165 00:08:25,560 --> 00:08:28,840 Speaker 4: the market continues to digest these numbers bouncing around all 166 00:08:28,880 --> 00:08:31,320 Speaker 4: over in the after hours trade. Talk to us a 167 00:08:31,320 --> 00:08:33,760 Speaker 4: little bit more about the conference call, I mean, in 168 00:08:33,800 --> 00:08:36,559 Speaker 4: addition to some more details on the cloud, what else 169 00:08:36,600 --> 00:08:38,000 Speaker 4: will you be listening. 170 00:08:37,600 --> 00:08:42,280 Speaker 5: For capital expenditures and how much more are they're going 171 00:08:42,320 --> 00:08:45,199 Speaker 5: to spend and what is it going to do for margins. 172 00:08:45,480 --> 00:08:47,720 Speaker 5: This is the first year where we're going to see 173 00:08:48,320 --> 00:08:51,600 Speaker 5: Microsoft's operating margin dip probably about one hundred to one 174 00:08:51,640 --> 00:08:54,400 Speaker 5: hundred and fifty basis points because of all the investments 175 00:08:54,440 --> 00:08:57,360 Speaker 5: that they're doing, and they need to convince the street 176 00:08:57,440 --> 00:09:00,520 Speaker 5: that these investments are worth the effort. 177 00:09:00,720 --> 00:09:01,760 Speaker 1: That means they're. 178 00:09:01,559 --> 00:09:03,240 Speaker 5: Going to spend the money this year and over the 179 00:09:03,280 --> 00:09:05,320 Speaker 5: next few years, You're going to see that money come back, 180 00:09:05,440 --> 00:09:06,960 Speaker 5: and I think that's going to be a lot of 181 00:09:06,960 --> 00:09:10,760 Speaker 5: discussion around capital expenditure as well as you know, growth. 182 00:09:10,440 --> 00:09:13,200 Speaker 4: And ansure, and of course we're coming off the heels 183 00:09:13,200 --> 00:09:16,280 Speaker 4: a pretty strong alphabet results. I want to talk about 184 00:09:16,320 --> 00:09:19,040 Speaker 4: the search business in particular. It feels like BANG has 185 00:09:19,080 --> 00:09:21,080 Speaker 4: been the butt of the joke forever. 186 00:09:21,600 --> 00:09:24,200 Speaker 2: Really is it still you doing things? 187 00:09:24,440 --> 00:09:26,360 Speaker 4: I don't just bring it? 188 00:09:26,440 --> 00:09:27,760 Speaker 2: Yeah, you got a question, just bring it. 189 00:09:27,800 --> 00:09:30,680 Speaker 4: I'm going to start saying that. Are people saying that more? 190 00:09:30,720 --> 00:09:30,880 Speaker 2: Though? 191 00:09:30,920 --> 00:09:33,800 Speaker 4: You think about all these investments that Microsoft has made 192 00:09:33,920 --> 00:09:37,599 Speaker 4: in AI in particular, is the search business seeing the 193 00:09:37,600 --> 00:09:38,080 Speaker 4: fruits of that? 194 00:09:39,840 --> 00:09:40,880 Speaker 1: No, I would not say that. 195 00:09:40,880 --> 00:09:43,160 Speaker 5: I've been Their market share has remained kind of in that, 196 00:09:43,360 --> 00:09:47,520 Speaker 5: you know, same number compared to the pre AI era. 197 00:09:48,160 --> 00:09:50,440 Speaker 5: Microsoft made a big deal about it when they launched, 198 00:09:50,840 --> 00:09:54,160 Speaker 5: you know, their bing with AI features, and that was 199 00:09:54,200 --> 00:09:56,000 Speaker 5: the big thing that it's going to take down Google 200 00:09:56,120 --> 00:09:58,280 Speaker 5: or take some market share away from it. So far 201 00:09:58,360 --> 00:10:00,360 Speaker 5: it hasn't happened. But I think, you know, my Microsoft 202 00:10:00,480 --> 00:10:03,000 Speaker 5: is making a big noise about it. I also feel 203 00:10:03,040 --> 00:10:05,640 Speaker 5: they are trying to do this because they may want 204 00:10:05,679 --> 00:10:07,839 Speaker 5: to be you know, get a deal with Apple for 205 00:10:08,400 --> 00:10:13,040 Speaker 5: the search in that particular ecosystem. So it's a good business, frankly, 206 00:10:13,080 --> 00:10:15,280 Speaker 5: but that's not what's going to drive the stock. The 207 00:10:15,320 --> 00:10:17,200 Speaker 5: stock is going to be driven by how the cloud 208 00:10:17,240 --> 00:10:19,720 Speaker 5: growth is and how stable their office business is. 209 00:10:20,080 --> 00:10:23,040 Speaker 2: One thing that was pretty remarkable about yesterday's results on 210 00:10:23,080 --> 00:10:27,360 Speaker 2: IRAQ from Alphabet, the parent of Google, is the cloud 211 00:10:27,400 --> 00:10:30,280 Speaker 2: growth for that company. And men Deep was in here 212 00:10:30,320 --> 00:10:33,120 Speaker 2: reminding us that when it comes to the cloud race, 213 00:10:33,360 --> 00:10:36,280 Speaker 2: you got Aws, you got Microsoft, and then in third 214 00:10:36,280 --> 00:10:40,040 Speaker 2: place you have Alphabet. So you're focused on Microsoft, the 215 00:10:40,120 --> 00:10:42,480 Speaker 2: number two player when it comes to cloud. Why does 216 00:10:42,480 --> 00:10:45,600 Speaker 2: somebody go to Microsoft that somebody who isn't Open AI 217 00:10:45,679 --> 00:10:47,920 Speaker 2: for example, why do they go to Microsoft instead of 218 00:10:47,960 --> 00:10:50,280 Speaker 2: going to AWS or Google. 219 00:10:51,840 --> 00:10:52,760 Speaker 1: That's a very good question. 220 00:10:52,800 --> 00:10:54,319 Speaker 5: And you know, if you go back to the history 221 00:10:54,360 --> 00:10:57,840 Speaker 5: of cloud, Aws was the first company that really championed 222 00:10:57,880 --> 00:11:01,520 Speaker 5: the cause of public cloud services. Microsoft game and said, listen, 223 00:11:01,880 --> 00:11:03,800 Speaker 5: go back to the companies that have been doing a 224 00:11:03,800 --> 00:11:06,280 Speaker 5: lot of tech spending and say, you already have a 225 00:11:06,400 --> 00:11:11,240 Speaker 5: lot of your workloads on Microsoft's products, which is Microsoft servers, 226 00:11:11,480 --> 00:11:15,720 Speaker 5: Microsoft operating system in databases. Why don't you port over 227 00:11:15,800 --> 00:11:16,880 Speaker 5: that workloads? 228 00:11:16,920 --> 00:11:17,880 Speaker 1: To Micloud. 229 00:11:18,040 --> 00:11:21,040 Speaker 5: So they really sold a lot of services as a 230 00:11:21,120 --> 00:11:24,080 Speaker 5: function of hybrid cloud services, and that's really their bread 231 00:11:24,080 --> 00:11:26,520 Speaker 5: and butter. But while when it comes to AWS in 232 00:11:26,600 --> 00:11:29,440 Speaker 5: Google they're going after startups and trying to get more 233 00:11:29,679 --> 00:11:30,360 Speaker 5: money from them. 234 00:11:30,880 --> 00:11:33,600 Speaker 4: How do you gain share in the cloud business? Is 235 00:11:33,640 --> 00:11:36,880 Speaker 4: it a game of inches? I mean, what does that 236 00:11:36,920 --> 00:11:38,760 Speaker 4: look like? That competitive landscape? 237 00:11:39,920 --> 00:11:41,760 Speaker 1: This is probably the most important thing we try to 238 00:11:41,760 --> 00:11:42,400 Speaker 1: tell people that. 239 00:11:42,480 --> 00:11:44,000 Speaker 5: You know, if you go back and look at ten 240 00:11:44,080 --> 00:11:47,480 Speaker 5: years ago, AWS has held its market share just in 241 00:11:47,520 --> 00:11:51,040 Speaker 5: the cloud infrastructure space, there's somewhere roughly around thirty five 242 00:11:51,040 --> 00:11:53,679 Speaker 5: to forty percent, somewhere in that range. But the size 243 00:11:53,679 --> 00:11:56,160 Speaker 5: of the cloud market has become so big. When it 244 00:11:56,240 --> 00:11:58,199 Speaker 5: was about one hundred two hundred billion at this point, 245 00:11:58,240 --> 00:12:00,000 Speaker 5: you know, this is probably six hundred and seve hundred 246 00:12:00,040 --> 00:12:03,360 Speaker 5: billion and above at that point. So the whole market 247 00:12:03,400 --> 00:12:05,480 Speaker 5: is growing and I think one of the places where 248 00:12:05,520 --> 00:12:08,520 Speaker 5: people don't talk about because of Genai, we think cloud 249 00:12:08,520 --> 00:12:11,360 Speaker 5: growth is going to be even bigger. So in our view, 250 00:12:11,520 --> 00:12:15,120 Speaker 5: all three companies and for that matter, the fourth vender, Oracle, 251 00:12:15,400 --> 00:12:16,160 Speaker 5: they're all going to. 252 00:12:16,240 --> 00:12:18,160 Speaker 1: Make good money over the next few years. 253 00:12:18,400 --> 00:12:21,280 Speaker 5: Because it's easy to run those AI workload and experiments 254 00:12:22,120 --> 00:12:24,120 Speaker 5: on the cloud rather than doing it on premise. 255 00:12:24,960 --> 00:12:27,880 Speaker 2: Okay, so is there anything we should be focused on 256 00:12:28,400 --> 00:12:31,760 Speaker 2: in these results that don't have to do with Azure 257 00:12:31,840 --> 00:12:35,120 Speaker 2: or the cloud, the capital expenditures? 258 00:12:35,160 --> 00:12:37,560 Speaker 5: I think, yeah, well, you can talk about gaming and 259 00:12:37,600 --> 00:12:39,679 Speaker 5: a few other things. But to be very honest, the 260 00:12:39,760 --> 00:12:43,280 Speaker 5: valuation Microsoft and AWS and Google have at this point, 261 00:12:43,559 --> 00:12:46,120 Speaker 5: it's largely driven by how they're going to monetize the 262 00:12:46,200 --> 00:12:48,120 Speaker 5: AI investments. 263 00:12:48,640 --> 00:12:50,079 Speaker 1: Everything else is secondary. 264 00:12:50,320 --> 00:12:53,439 Speaker 5: The good thing about Microsoft is it has the Windows 265 00:12:53,480 --> 00:12:57,120 Speaker 5: operating system. It has office that provides a lot of 266 00:12:57,160 --> 00:12:59,800 Speaker 5: cash flow where they can invest without investors. 267 00:12:59,840 --> 00:13:00,840 Speaker 1: Get letty about it. 268 00:13:01,120 --> 00:13:04,600 Speaker 2: Okay, Katie reminding me throughout the day that twenty percent 269 00:13:04,640 --> 00:13:06,839 Speaker 2: of in Vidia's revenue. 270 00:13:07,160 --> 00:13:11,040 Speaker 4: Click eighteen point nine percent, but close enough, Almost twenty 271 00:13:11,080 --> 00:13:14,640 Speaker 4: percent of in Vidia's revenue comes from this one company, 272 00:13:14,760 --> 00:13:19,040 Speaker 4: Microsoft another roughly ten percent. Ten percent Meta. 273 00:13:18,800 --> 00:13:23,480 Speaker 2: Platforms is according to the SPLC function on the Bloomberg 274 00:13:23,600 --> 00:13:28,439 Speaker 2: terminal on IRAQ, how should we think about CAPEX from 275 00:13:28,600 --> 00:13:31,160 Speaker 2: and then, look, I know you don't cover in video, 276 00:13:31,640 --> 00:13:35,960 Speaker 2: but how should we think about CAPEX spend from Microsoft? Also, 277 00:13:35,960 --> 00:13:38,920 Speaker 2: what we heard from other companies this week with regard 278 00:13:38,920 --> 00:13:41,080 Speaker 2: to in Vidia, because that's certainly a focus for us 279 00:13:41,120 --> 00:13:42,600 Speaker 2: and for our audience this week. 280 00:13:43,760 --> 00:13:45,839 Speaker 5: Yeah, and again it's you know, it's very difficult to 281 00:13:45,920 --> 00:13:49,160 Speaker 5: tie at what part of capex is going towards data center, 282 00:13:49,280 --> 00:13:51,679 Speaker 5: what is going to GPU. Well, one of the analysis 283 00:13:51,720 --> 00:13:55,080 Speaker 5: that we did in recent weeks was from two thousand 284 00:13:55,080 --> 00:13:57,360 Speaker 5: and three to two thousand and five, we are looking 285 00:13:57,360 --> 00:14:00,160 Speaker 5: at an incremental ninety billion dollars from the life so 286 00:14:00,280 --> 00:14:04,240 Speaker 5: the top cloud providers and Apple and some other companies, and. 287 00:14:04,200 --> 00:14:06,520 Speaker 1: A lot of that is going to build the infrastructure. 288 00:14:06,880 --> 00:14:08,679 Speaker 5: I think one of the things that can you know, 289 00:14:08,760 --> 00:14:12,160 Speaker 5: break down some of the AI craze would be when 290 00:14:12,200 --> 00:14:14,000 Speaker 5: all these companies said, wait, we're not going to be 291 00:14:14,000 --> 00:14:15,040 Speaker 5: investing as much as. 292 00:14:14,920 --> 00:14:15,600 Speaker 1: We did before. 293 00:14:15,840 --> 00:14:18,520 Speaker 5: I think that brings it down. But at so far, 294 00:14:18,640 --> 00:14:21,920 Speaker 5: what we have heard, investments are just ramping up right now, 295 00:14:21,960 --> 00:14:23,120 Speaker 5: they are not slowing it down. 296 00:14:24,320 --> 00:14:26,680 Speaker 2: Okay, we got you for a couple more minutes. I 297 00:14:26,680 --> 00:14:28,520 Speaker 2: want to make sure we continue to pick your brain 298 00:14:28,560 --> 00:14:31,320 Speaker 2: before you have to go and write this note on IRAQ. 299 00:14:31,680 --> 00:14:34,920 Speaker 2: But give us an idea of what you'll be listening 300 00:14:34,960 --> 00:14:38,560 Speaker 2: for on the call a little later today, And how 301 00:14:38,600 --> 00:14:39,920 Speaker 2: are you thinking about the note that you're going to 302 00:14:39,960 --> 00:14:41,240 Speaker 2: end up writing tonight or tomorrow. 303 00:14:42,320 --> 00:14:45,080 Speaker 5: Yeah, So when you look at Microsoft results again, the 304 00:14:45,160 --> 00:14:47,800 Speaker 5: question is going to be where is this growth coming from? 305 00:14:47,920 --> 00:14:50,320 Speaker 5: Is it coming from directly the AI workloads or is 306 00:14:50,320 --> 00:14:53,440 Speaker 5: it coming from non AI related cloud spending as well? 307 00:14:53,600 --> 00:14:56,040 Speaker 5: Because that matters a lot for AWS, which is going 308 00:14:56,080 --> 00:14:59,760 Speaker 5: to report Thursday night, because AWS does not have that 309 00:15:00,240 --> 00:15:03,240 Speaker 5: level of AI related revenue coming in at this point. 310 00:15:03,520 --> 00:15:05,920 Speaker 5: So there's going to be a lot of discussion whether 311 00:15:06,960 --> 00:15:09,880 Speaker 5: Google and Microsoft are taking some share away from AWS 312 00:15:10,000 --> 00:15:12,200 Speaker 5: or not. So I think over the next day or 313 00:15:12,240 --> 00:15:15,200 Speaker 5: so we get a big clarity that have we seen 314 00:15:15,240 --> 00:15:17,760 Speaker 5: a big push in all cloud spending or are we 315 00:15:17,800 --> 00:15:20,400 Speaker 5: seeing some kind of a market share shift. 316 00:15:20,440 --> 00:15:22,720 Speaker 1: I think it's all the vendors are going to benefit 317 00:15:22,760 --> 00:15:23,040 Speaker 1: from that. 318 00:15:23,280 --> 00:15:25,600 Speaker 5: But I think for us today, when we are listening 319 00:15:25,600 --> 00:15:28,400 Speaker 5: to the call, the question is going to be where 320 00:15:28,440 --> 00:15:29,640 Speaker 5: is that spend coming from? 321 00:15:29,840 --> 00:15:32,080 Speaker 2: Okay, and before we let you go, one more question 322 00:15:32,120 --> 00:15:35,640 Speaker 2: on Amazon tomorrow? What's the most Obviously AWS is important, 323 00:15:35,680 --> 00:15:37,680 Speaker 2: but given what we heard from Alphabet and what we 324 00:15:37,680 --> 00:15:42,960 Speaker 2: heard from Microsoft, what's your expectation for Amazon and AWS tomorrow? 325 00:15:42,960 --> 00:15:45,600 Speaker 5: We should see an improvement in growth rate for AWS 326 00:15:45,760 --> 00:15:49,080 Speaker 5: because after these two companies, if they don't report that, 327 00:15:49,280 --> 00:15:50,720 Speaker 5: I mean to be honest, that's not going to be 328 00:15:50,760 --> 00:15:51,320 Speaker 5: good for them. 329 00:15:51,880 --> 00:15:55,680 Speaker 1: I don't think that's unlikely. But at the same time, 330 00:15:55,680 --> 00:15:57,240 Speaker 1: we also want to know what's going to happen with 331 00:15:57,320 --> 00:15:57,920 Speaker 1: their margins. 332 00:15:57,920 --> 00:16:00,200 Speaker 5: We have heard a lot about the company, you know, 333 00:16:00,240 --> 00:16:04,040 Speaker 5: trying to rein in extra expenditures, trying to keep boots 334 00:16:04,080 --> 00:16:06,680 Speaker 5: their margins. At the same time they're investing a lot 335 00:16:06,720 --> 00:16:10,000 Speaker 5: in GENEI. So I think those two elements almost for 336 00:16:10,080 --> 00:16:12,960 Speaker 5: every cloud company or any software company right now are 337 00:16:13,320 --> 00:16:16,080 Speaker 5: what's your GENI contribution and what is happening to your 338 00:16:16,120 --> 00:16:16,880 Speaker 5: margin structure. 339 00:16:17,400 --> 00:16:21,040 Speaker 2: Anna rad Rana, senior tech analogy analyst at Bloomberg Intelligence, 340 00:16:21,080 --> 00:16:22,800 Speaker 2: joining us from Chicago.