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 --> 00:00:17,880 Speaker 1: easterne 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 --> 00:00:25,520 Speaker 2: Tech stops are really in focus. 7 00:00:25,640 --> 00:00:28,240 Speaker 3: The NASA Compson Index Paul is down two and a 8 00:00:28,320 --> 00:00:32,320 Speaker 3: quarter percent. The maximum names began reporting yesterday, and it's 9 00:00:32,360 --> 00:00:35,600 Speaker 3: really a split view here when it comes to those big, 10 00:00:35,640 --> 00:00:36,519 Speaker 3: big tech names. 11 00:00:36,640 --> 00:00:38,520 Speaker 2: And another one is on the docket tonight. 12 00:00:38,560 --> 00:00:42,680 Speaker 3: You've got Apple reporting this evening at four thirty pm 13 00:00:43,000 --> 00:00:45,800 Speaker 3: Wall Street Time, and of course we know that the 14 00:00:46,000 --> 00:00:48,520 Speaker 3: latest Apple iPhone came out. So this is a huge 15 00:00:48,640 --> 00:00:51,880 Speaker 3: quarter for the company. On o Agranta is our technology 16 00:00:51,920 --> 00:00:54,480 Speaker 3: analyst and he covers all things big tech. 17 00:00:54,640 --> 00:00:56,160 Speaker 4: Hona Microsoft here. 18 00:00:56,240 --> 00:00:59,440 Speaker 5: I mean it's north of a three billion, three trillion 19 00:00:59,480 --> 00:01:02,600 Speaker 5: dollar mark cap. Company puts up thirty eight percent, cloud 20 00:01:02,640 --> 00:01:04,600 Speaker 5: revenue growth, stock it down twelve percent. 21 00:01:04,640 --> 00:01:05,240 Speaker 4: What's going on? 22 00:01:06,040 --> 00:01:08,560 Speaker 6: Yeah? I think that's really what you're saying is you know, 23 00:01:08,720 --> 00:01:11,880 Speaker 6: last quarter the growth rate of Azure was thirty eight 24 00:01:12,160 --> 00:01:14,880 Speaker 6: or thirty nine. This quarter was thirty eight they've guided 25 00:01:14,959 --> 00:01:17,160 Speaker 6: to thirty seven to thirty eight, and that's not good 26 00:01:17,240 --> 00:01:19,360 Speaker 6: enough for investors. So I think that's really what it is. 27 00:01:20,000 --> 00:01:22,080 Speaker 6: And you know, they said it on the call that 28 00:01:22,120 --> 00:01:25,559 Speaker 6: if they allocated all the GPUs to Azure, they would 29 00:01:25,560 --> 00:01:28,360 Speaker 6: have grown north to forty percent. What's happening right now 30 00:01:28,400 --> 00:01:31,560 Speaker 6: within Microsoft is the cloud capacity that they have built, 31 00:01:31,560 --> 00:01:33,360 Speaker 6: and they've done a very good job about it in 32 00:01:33,400 --> 00:01:36,600 Speaker 6: the last twelve months. They're allocating it differently, whether it's 33 00:01:36,640 --> 00:01:39,319 Speaker 6: their kit helb co pilot, which is the coding agent, 34 00:01:39,600 --> 00:01:43,400 Speaker 6: or the the M three sixty five copilot, their Azure business, 35 00:01:43,560 --> 00:01:46,600 Speaker 6: and also internally for their R and D, and that 36 00:01:47,160 --> 00:01:49,720 Speaker 6: you if you can only have this much capacity, you 37 00:01:49,760 --> 00:01:51,880 Speaker 6: can you know, you will realize the revenue only on 38 00:01:51,920 --> 00:01:54,720 Speaker 6: the Azure side. And I think that's where the mismatch is. 39 00:01:55,080 --> 00:01:57,800 Speaker 6: The biggest question people are asking, is well, the capix 40 00:01:57,840 --> 00:02:00,520 Speaker 6: is growing in the sixties, but their cloud revenue is 41 00:02:00,600 --> 00:02:03,360 Speaker 6: growing on the thirty eeth. I think it's a bit silly, 42 00:02:03,640 --> 00:02:06,080 Speaker 6: to be very honest with you. You know, they know 43 00:02:06,120 --> 00:02:07,760 Speaker 6: what they're doing in terms of R and D for 44 00:02:07,920 --> 00:02:11,519 Speaker 6: future growth, but frankly, from our side, thirty eight percent 45 00:02:11,560 --> 00:02:13,520 Speaker 6: growth is not a bad number. 46 00:02:13,800 --> 00:02:16,640 Speaker 2: No, it's hard to hold your nose at that. 47 00:02:16,760 --> 00:02:19,720 Speaker 3: But is this a company that you know gets worried 48 00:02:19,720 --> 00:02:22,679 Speaker 3: about this kind of market reaction or like you said, 49 00:02:22,720 --> 00:02:25,080 Speaker 3: they're confident in their strategy overall. They're going to move 50 00:02:25,120 --> 00:02:28,680 Speaker 3: forward with this regardless of whatever message investors might be 51 00:02:28,680 --> 00:02:29,320 Speaker 3: trying to send. 52 00:02:30,639 --> 00:02:32,560 Speaker 6: No, I don't think they will change their strategy. I 53 00:02:32,639 --> 00:02:34,880 Speaker 6: mean they have to. They are doing whatever it is 54 00:02:35,000 --> 00:02:38,560 Speaker 6: right for the Microsoft product of families. They and because 55 00:02:38,600 --> 00:02:41,040 Speaker 6: you think about it this way, in seven years, by 56 00:02:41,080 --> 00:02:43,720 Speaker 6: twenty thirty two, they will lose the ip that they 57 00:02:43,760 --> 00:02:46,320 Speaker 6: get from Opening Eye. They need their own models by 58 00:02:46,320 --> 00:02:48,640 Speaker 6: that they have to have it. So if they're going 59 00:02:48,680 --> 00:02:50,640 Speaker 6: to put some RND dollars to take care of that, 60 00:02:51,000 --> 00:02:53,079 Speaker 6: so be it. I mean, I don't think that's a problem. 61 00:02:53,560 --> 00:02:56,640 Speaker 6: They will be They are actually even now one of 62 00:02:56,639 --> 00:03:00,160 Speaker 6: the bigger beneficiaries of all the GENII spending that's out there. 63 00:03:00,400 --> 00:03:02,640 Speaker 6: You know, it will all come back to the cloud, 64 00:03:02,919 --> 00:03:05,160 Speaker 6: whether it takes a year, two years, I don't think 65 00:03:05,160 --> 00:03:07,320 Speaker 6: that's a that's a problem from a long term point 66 00:03:07,360 --> 00:03:07,680 Speaker 6: of view. 67 00:03:08,000 --> 00:03:10,840 Speaker 5: How about cappex, We saw a meta put a huge 68 00:03:10,919 --> 00:03:13,079 Speaker 5: CAPEX number up their way above where the street was 69 00:03:13,120 --> 00:03:19,520 Speaker 5: forecasting here from Microsoft, their CAPEX dramatically as well, up 70 00:03:19,560 --> 00:03:23,959 Speaker 5: sixty six percent from a year earlier. How do you 71 00:03:23,960 --> 00:03:26,200 Speaker 5: think about capex or how's some market thinking about capex? 72 00:03:27,240 --> 00:03:29,799 Speaker 6: So it depends on who's spending the capex. So when 73 00:03:29,800 --> 00:03:33,040 Speaker 6: we think about it, the three most important companies in 74 00:03:33,080 --> 00:03:36,520 Speaker 6: our view is Amazon, Google, and Microsoft because they have 75 00:03:36,920 --> 00:03:40,680 Speaker 6: really strong cloud business that can monetize it. How Meta 76 00:03:40,720 --> 00:03:43,880 Speaker 6: monetizes it, I don't know, And frankly, the reason for 77 00:03:43,920 --> 00:03:45,960 Speaker 6: that is because they're saying they're going to drive more 78 00:03:45,960 --> 00:03:48,480 Speaker 6: engagement internally with their products, but they don't have a 79 00:03:48,480 --> 00:03:51,160 Speaker 6: cloud business that can monetize it. Their model is not 80 00:03:51,240 --> 00:03:55,240 Speaker 6: being bought by Apple to put it in the operating system. 81 00:03:55,360 --> 00:03:57,560 Speaker 6: So I have no idea what the future for that 82 00:03:57,600 --> 00:04:00,760 Speaker 6: capex is. But I feel very comfortable the capex that's 83 00:04:00,800 --> 00:04:04,520 Speaker 6: driven by the three large hyperscale cloud providers because they 84 00:04:04,720 --> 00:04:07,120 Speaker 6: we know the business that they're in and where the 85 00:04:07,160 --> 00:04:08,640 Speaker 6: monetization is going to happen. 86 00:04:08,840 --> 00:04:11,720 Speaker 3: Okay, before we let you go, just a quick recap 87 00:04:11,760 --> 00:04:14,520 Speaker 3: of what happened with IBM good enough for an almost 88 00:04:14,520 --> 00:04:15,320 Speaker 3: five percent gain? 89 00:04:15,480 --> 00:04:17,960 Speaker 2: What were investors responding to? 90 00:04:19,160 --> 00:04:22,000 Speaker 6: Yeah, I think it's again a game of low expectations. 91 00:04:22,360 --> 00:04:25,039 Speaker 6: That's where the revenue growth rate you know, was better. 92 00:04:25,480 --> 00:04:27,960 Speaker 6: They came at the total revenue growth was nine percent, 93 00:04:28,000 --> 00:04:30,560 Speaker 6: but the software division was around eleven percent, So I 94 00:04:30,600 --> 00:04:33,240 Speaker 6: think that's really the benefit. But think about it, Service 95 00:04:33,320 --> 00:04:36,800 Speaker 6: now down so big. Their growth rate was in the twenties. Microsoft, 96 00:04:37,000 --> 00:04:40,159 Speaker 6: same thing, So it's all a matter of relative expectations, 97 00:04:40,720 --> 00:04:42,040 Speaker 6: you know today. 98 00:04:42,640 --> 00:04:45,760 Speaker 4: Same with us. More from Bloomberg Intelligence coming up after this. 99 00:04:49,640 --> 00:04:53,320 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 100 00:04:53,400 --> 00:04:56,520 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 101 00:04:56,520 --> 00:04:59,800 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 102 00:04:59,839 --> 00:05:03,400 Speaker 1: you get your podcasts, or watch us live on YouTube. 103 00:05:04,200 --> 00:05:06,080 Speaker 5: It's been tech here. We had a lot of tech 104 00:05:06,160 --> 00:05:09,120 Speaker 5: numbers after the close yesterday. One of the ones that 105 00:05:09,240 --> 00:05:11,680 Speaker 5: just I think surprising people is just is Microsoft and 106 00:05:11,720 --> 00:05:13,679 Speaker 5: we talked about that with Anorak Grana Meta. 107 00:05:13,720 --> 00:05:15,520 Speaker 4: We want to talk about meta as well. 108 00:05:15,520 --> 00:05:18,680 Speaker 5: Here men, Deep Singh joins this global tech research head 109 00:05:18,880 --> 00:05:21,599 Speaker 5: for Bloomberg Intelligence, joining us live here in our studio. 110 00:05:23,000 --> 00:05:26,320 Speaker 5: Their top line came in better than expected, gave a 111 00:05:26,360 --> 00:05:29,839 Speaker 5: pretty strong forecast for the current period. So from a 112 00:05:30,279 --> 00:05:32,760 Speaker 5: revenue perspective, the story seems very much on track, would 113 00:05:32,800 --> 00:05:34,440 Speaker 5: you take away, Mandy, Yeah. 114 00:05:34,279 --> 00:05:37,440 Speaker 7: I mean it's hard to find a business in max 115 00:05:37,520 --> 00:05:41,040 Speaker 7: seven that's growing thirty percent top line at the revenue 116 00:05:41,080 --> 00:05:44,880 Speaker 7: base that Meta is at, and that probably explains why 117 00:05:45,360 --> 00:05:47,440 Speaker 7: they got a green light when it comes to the 118 00:05:47,520 --> 00:05:51,440 Speaker 7: CAPEX increase that they had in their guide. And I 119 00:05:51,440 --> 00:05:54,799 Speaker 7: mean Mark was asked a number of questions around large 120 00:05:54,800 --> 00:05:58,240 Speaker 7: angrid models and what he's doing, and his answer was, 121 00:05:58,360 --> 00:06:00,640 Speaker 7: I don't have a ton of clarity in terms of 122 00:06:00,720 --> 00:06:03,359 Speaker 7: what those products are going to look like. All I 123 00:06:03,440 --> 00:06:06,000 Speaker 7: know is we have a great team, we have all 124 00:06:06,000 --> 00:06:09,480 Speaker 7: the compute. In fact, they're renting compute from third party 125 00:06:10,520 --> 00:06:15,240 Speaker 7: neocloud providers because they feel they've got a lot of 126 00:06:15,320 --> 00:06:18,880 Speaker 7: ideas and they'll be launching a lot of new products 127 00:06:19,120 --> 00:06:22,120 Speaker 7: this year. So that's what got everyone excited. 128 00:06:21,960 --> 00:06:23,960 Speaker 3: Right, But they didn't give any details on these new 129 00:06:23,960 --> 00:06:28,680 Speaker 3: products or services Person three, So I wonder is this 130 00:06:28,920 --> 00:06:33,080 Speaker 3: just he was able to craft a better tell, a 131 00:06:33,080 --> 00:06:35,479 Speaker 3: better story than he had in the quarters past. 132 00:06:36,000 --> 00:06:40,240 Speaker 7: Yeah, and look when you are raising your guide. So 133 00:06:40,400 --> 00:06:43,880 Speaker 7: consensus was twenty five percent growth for one que they 134 00:06:43,920 --> 00:06:46,440 Speaker 7: said will do thirty three percent at. 135 00:06:46,320 --> 00:06:48,040 Speaker 2: The high end but no details. 136 00:06:48,279 --> 00:06:52,000 Speaker 4: No, that's just core advertising, rebit core advertising. 137 00:06:52,080 --> 00:06:55,000 Speaker 7: And they said this quarter so they beat this quarter 138 00:06:55,200 --> 00:06:58,880 Speaker 7: fourth quarters print by two hundred basis points. They attributed 139 00:06:58,920 --> 00:07:02,760 Speaker 7: that to you know, all the AI ad conversions that 140 00:07:02,800 --> 00:07:06,000 Speaker 7: they are seeing in the current So without even launching 141 00:07:06,360 --> 00:07:10,400 Speaker 7: an LLM or a new product, they're applying AI and 142 00:07:10,520 --> 00:07:13,000 Speaker 7: GPU clusters to the existing ads. 143 00:07:13,040 --> 00:07:14,120 Speaker 2: That's the execution. 144 00:07:14,440 --> 00:07:19,360 Speaker 7: It is execution, and they're able to do it when Pinterests, Snapchat, 145 00:07:19,440 --> 00:07:22,800 Speaker 7: Reddit are not even able to grow twenty percent. So 146 00:07:22,920 --> 00:07:25,840 Speaker 7: that's the difference between you know, a company like Meta 147 00:07:25,880 --> 00:07:28,640 Speaker 7: and what the smaller digital ad companies are doing. 148 00:07:29,400 --> 00:07:32,640 Speaker 5: Can that be their AI story or does the market 149 00:07:32,680 --> 00:07:36,080 Speaker 5: longer term want to see new products? 150 00:07:36,320 --> 00:07:37,000 Speaker 7: Absolutely? 151 00:07:37,120 --> 00:07:37,920 Speaker 4: And what would those be? 152 00:07:38,400 --> 00:07:42,080 Speaker 7: Well AI assistant And there were references of you know, 153 00:07:42,240 --> 00:07:45,640 Speaker 7: Meta's AI is going to look different from the leading 154 00:07:46,200 --> 00:07:50,120 Speaker 7: frontier models like Open AI or you know Gemini, So 155 00:07:50,240 --> 00:07:54,040 Speaker 7: they their standalone app Meta AI doesn't have any usage 156 00:07:54,080 --> 00:07:56,040 Speaker 7: right now, so you compare that to a Gemini and 157 00:07:56,120 --> 00:07:59,040 Speaker 7: chat gipt Meta nobody uses Meta AI. But what they're 158 00:07:59,080 --> 00:08:02,280 Speaker 7: saying is will have something different in terms of the 159 00:08:02,400 --> 00:08:05,920 Speaker 7: content what you can do with Meta AI and you 160 00:08:06,240 --> 00:08:08,680 Speaker 7: have to take a leap of faith with marks that be. 161 00:08:08,960 --> 00:08:12,000 Speaker 5: Embedded in Facebook in every Graham that's what the kids 162 00:08:12,000 --> 00:08:16,120 Speaker 5: call it, the Graham instaf It'll be embedded in those apps, 163 00:08:16,160 --> 00:08:18,360 Speaker 5: and that will be the use case. 164 00:08:18,760 --> 00:08:22,840 Speaker 7: I mean, imagine Facebook groups, They've got so many users. 165 00:08:22,880 --> 00:08:26,440 Speaker 7: If you have meta AI that actually works, how many 166 00:08:26,600 --> 00:08:29,720 Speaker 7: things a user can ask a meta AI when you are, 167 00:08:29,840 --> 00:08:33,679 Speaker 7: you know, reading the group notes or something like that, 168 00:08:33,760 --> 00:08:36,640 Speaker 7: So it can be very conversational. And that's where the 169 00:08:36,679 --> 00:08:40,440 Speaker 7: audio part, the text, chat pot part, all that would 170 00:08:40,440 --> 00:08:42,440 Speaker 7: be customized to the family of fams. 171 00:08:43,120 --> 00:08:45,079 Speaker 3: So when it comes to the advertising business, I wonder 172 00:08:45,200 --> 00:08:48,839 Speaker 3: if what Meta told us based on how it's implementing 173 00:08:48,880 --> 00:08:52,920 Speaker 3: AI might inform how a Snap, a Pinterest, a Yelp, 174 00:08:53,040 --> 00:08:56,319 Speaker 3: or Reddit might harness that technology as well, because you 175 00:08:56,360 --> 00:08:58,400 Speaker 3: look at the share price reaction in those stocks and 176 00:08:58,400 --> 00:09:00,960 Speaker 3: it's pretty mixed. Reddit is change, but all the other 177 00:09:01,080 --> 00:09:02,920 Speaker 3: names are down I think. 178 00:09:03,160 --> 00:09:05,880 Speaker 7: I mean, there's nothing that's stopping a Pinterest or a 179 00:09:05,920 --> 00:09:09,480 Speaker 7: Snap from applying AI to their ad ecosystem, So do 180 00:09:09,559 --> 00:09:12,920 Speaker 7: my MI. In fact, Meta called out e commerce specifically 181 00:09:13,000 --> 00:09:15,640 Speaker 7: as a vertical where they're seeing the most traction in 182 00:09:15,760 --> 00:09:19,360 Speaker 7: terms of ad convergence, and these are companies smaller ones. 183 00:09:19,400 --> 00:09:23,840 Speaker 7: Pinterest is heavily exposed to e commerce, so to my mind, 184 00:09:23,880 --> 00:09:26,200 Speaker 7: they should come out with a print where they also 185 00:09:26,679 --> 00:09:30,040 Speaker 7: talk about some benefits of leveraging AI and their ads stack. 186 00:09:30,880 --> 00:09:34,000 Speaker 4: Stay with us. More from Bloomberg Intelligence coming up after this. 187 00:09:37,920 --> 00:09:41,600 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 188 00:09:41,679 --> 00:09:44,800 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 189 00:09:44,800 --> 00:09:48,120 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 190 00:09:48,160 --> 00:09:51,280 Speaker 1: you get your podcasts, or watch us live on YouTube. 191 00:09:52,160 --> 00:09:54,400 Speaker 4: Tesla reported numbers last night. 192 00:09:54,720 --> 00:09:56,000 Speaker 5: One of the things that jumped out of folks is 193 00:09:56,040 --> 00:09:58,960 Speaker 5: Tesla said it will spend over twenty billion dollars on 194 00:09:59,000 --> 00:10:02,520 Speaker 5: a dramatic reshow a factory line to ramp up production 195 00:10:02,640 --> 00:10:05,480 Speaker 5: of cars, batteries and robots. 196 00:10:05,280 --> 00:10:07,400 Speaker 4: Across the hast a dozen plans. So a lot going 197 00:10:07,440 --> 00:10:08,760 Speaker 4: on at Tesla as usual. 198 00:10:08,800 --> 00:10:11,760 Speaker 5: Let's get the latest analysis there from Steve Man, covers 199 00:10:11,800 --> 00:10:15,400 Speaker 5: all the auto companies globally for Bloomberg Intelligency. Stand there 200 00:10:15,400 --> 00:10:18,640 Speaker 5: in Princeton, home of the best Bloomberg Lunch. I'll tell 201 00:10:18,640 --> 00:10:20,760 Speaker 5: you that right now. Steve, talk to us about Tesla. 202 00:10:20,760 --> 00:10:21,520 Speaker 5: What's going on there? 203 00:10:21,520 --> 00:10:23,800 Speaker 4: With Elon. How's he kind of shuffling up this company? 204 00:10:24,520 --> 00:10:27,080 Speaker 8: Yeah, Paul, I think the most what stood out for 205 00:10:27,200 --> 00:10:31,280 Speaker 8: me was really that the AI investments that they've made 206 00:10:31,679 --> 00:10:36,679 Speaker 8: in the past few years, it's actually being converted into returns, 207 00:10:37,200 --> 00:10:41,040 Speaker 8: and that visibility of that return is much better after 208 00:10:41,080 --> 00:10:45,600 Speaker 8: the call. You know, they actually codified and putting black 209 00:10:45,640 --> 00:10:50,559 Speaker 8: and white in their presentation the rollout plan for the Robotaxi, 210 00:10:51,760 --> 00:10:55,040 Speaker 8: and you know they're looking to roll out into nine 211 00:10:55,080 --> 00:10:58,600 Speaker 8: different cities, mostly in the South, in the first half 212 00:10:59,080 --> 00:10:59,720 Speaker 8: of this year. 213 00:11:01,120 --> 00:11:03,880 Speaker 3: Okay, so some visibility is always great when it comes 214 00:11:03,920 --> 00:11:07,480 Speaker 3: to Tesla because so much of the story driving Tesla 215 00:11:07,679 --> 00:11:11,800 Speaker 3: is Elon Musk's storytelling skills and capabilities. Here tell us 216 00:11:11,840 --> 00:11:13,959 Speaker 3: a little bit more about what Elon Musk said when 217 00:11:13,960 --> 00:11:17,240 Speaker 3: it comes to Tesla needing to build its own semiconductor factory. 218 00:11:17,280 --> 00:11:19,439 Speaker 3: I mean, we're just getting our head around the cars 219 00:11:19,800 --> 00:11:24,400 Speaker 3: and the you know, the self driving vehicles, AI robotics, 220 00:11:24,400 --> 00:11:25,640 Speaker 3: and now we're talking about chip making. 221 00:11:26,440 --> 00:11:30,319 Speaker 8: Yeah, that's that's that's the that's the Tesla business model. 222 00:11:30,400 --> 00:11:35,480 Speaker 8: They they are vertically integrating. They're looking at the whole 223 00:11:35,520 --> 00:11:38,600 Speaker 8: supply chain, whole value chain to see where they can 224 00:11:38,679 --> 00:11:41,720 Speaker 8: cut costs. But the other thing that you know Elon 225 00:11:41,840 --> 00:11:45,920 Speaker 8: must mention is geopolitics. That plays a role in why 226 00:11:46,000 --> 00:11:49,240 Speaker 8: they want to build their own chips. But the other 227 00:11:49,280 --> 00:11:52,560 Speaker 8: thing is there is a huge demand for chips across 228 00:11:52,600 --> 00:11:56,559 Speaker 8: the board, AI chips, memory chips. We've already are seeing 229 00:11:56,679 --> 00:12:00,680 Speaker 8: some shortages on memory chips in the automotive apply chain. 230 00:12:01,040 --> 00:12:04,640 Speaker 8: So it's not a surprise that they're going vertical. They 231 00:12:04,640 --> 00:12:07,880 Speaker 8: want to ensure there's a source and they want to 232 00:12:07,920 --> 00:12:11,640 Speaker 8: make sure that the technology stays in house and they 233 00:12:11,640 --> 00:12:13,600 Speaker 8: have control of that technology. 234 00:12:14,440 --> 00:12:18,600 Speaker 5: Optimist humanoids what is that and is that something that's 235 00:12:18,600 --> 00:12:20,000 Speaker 5: going to be material for this company. 236 00:12:20,840 --> 00:12:24,880 Speaker 8: Yeah, according to what the company's saying, they are making progress. 237 00:12:25,200 --> 00:12:28,560 Speaker 8: They're going to launch the next version of the humanoid robot. 238 00:12:28,600 --> 00:12:32,840 Speaker 8: They're actually stopping the Model S and X production in 239 00:12:32,920 --> 00:12:38,000 Speaker 8: sales it's pretty low anyway, and converting that factory to 240 00:12:38,200 --> 00:12:41,520 Speaker 8: two humanium robots. But we still think it's years away. 241 00:12:41,679 --> 00:12:46,680 Speaker 8: I think for it to be commercially viable and interest 242 00:12:46,720 --> 00:12:49,760 Speaker 8: from the marketplace, it's probably won't be until the end 243 00:12:49,760 --> 00:12:51,680 Speaker 8: of the decade, but they will use some of that 244 00:12:51,800 --> 00:12:53,520 Speaker 8: robot within their own factories. 245 00:12:55,360 --> 00:12:59,560 Speaker 3: Steve what about Tesla sinking another two billion dollars into 246 00:12:59,640 --> 00:13:03,520 Speaker 3: Elon Musk's own startup, the Xai. Have we I mean, 247 00:13:03,559 --> 00:13:06,079 Speaker 3: do people have a way of seeing whether that has 248 00:13:06,120 --> 00:13:08,760 Speaker 3: a return on that investment? I mean, is it just 249 00:13:08,800 --> 00:13:10,240 Speaker 3: money that goes that one direction. 250 00:13:11,320 --> 00:13:14,000 Speaker 8: Yeah, there seems to be a lot of confusion in 251 00:13:14,000 --> 00:13:16,760 Speaker 8: the market, but to me, it is actually a right 252 00:13:16,800 --> 00:13:19,840 Speaker 8: thing to do because, first of all, Grock, which is 253 00:13:19,880 --> 00:13:24,760 Speaker 8: part of Xai, it's already in their vehicles, operating in 254 00:13:24,760 --> 00:13:29,720 Speaker 8: their vehicles as a navigational assistant. And then as robo 255 00:13:29,760 --> 00:13:33,520 Speaker 8: Taxi rolls out, I think they want to personalize those 256 00:13:33,600 --> 00:13:37,880 Speaker 8: robal taxis, and Grock through Xai is the perfect tool 257 00:13:37,960 --> 00:13:41,120 Speaker 8: to do that. System to do that. So you know, 258 00:13:41,200 --> 00:13:44,960 Speaker 8: if this Tesla is going to use the services from Xai, 259 00:13:45,000 --> 00:13:46,800 Speaker 8: I think they need to pay for it. So two 260 00:13:46,840 --> 00:13:49,960 Speaker 8: billion dollar investment in the Xai makes sense. 261 00:13:51,720 --> 00:13:54,840 Speaker 4: Stay with us more from Bloomberg Intelligence coming up after this. 262 00:13:58,320 --> 00:14:01,679 Speaker 1: You're listening to The Bloomberg Intelli Leigion's podcast. Catch us 263 00:14:01,760 --> 00:14:05,160 Speaker 1: live weekdays at ten am Eastern on Applecarclay and Android 264 00:14:05,200 --> 00:14:08,480 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 265 00:14:08,559 --> 00:14:11,680 Speaker 1: you get your podcasts, or watch us live on YouTube. 266 00:14:12,360 --> 00:14:14,720 Speaker 4: All right, you're looking for an AI stock. How about 267 00:14:14,720 --> 00:14:16,360 Speaker 4: this one? I bet you didn't think about this one. 268 00:14:16,400 --> 00:14:21,080 Speaker 5: Caterpillar got an earning spoost from selling power generation equipment 269 00:14:21,080 --> 00:14:24,840 Speaker 5: to AI data centers in its fourth quarter. Stocks trading 270 00:14:24,920 --> 00:14:26,240 Speaker 5: up today, it's hitting. 271 00:14:26,080 --> 00:14:29,240 Speaker 4: A fifty two week high. How about that, Chris. 272 00:14:29,120 --> 00:14:32,720 Speaker 5: Gilino, he covers a Caterpillar and all those other construction companies, 273 00:14:32,720 --> 00:14:37,920 Speaker 5: manufacturing companies, senior US machinery analysts for Bloemberg Intelligence. So, Chris, 274 00:14:38,000 --> 00:14:39,560 Speaker 5: I bet you didn't think early in your career that 275 00:14:39,920 --> 00:14:42,520 Speaker 5: Caterpillar would be a tech play. Talk to us about 276 00:14:42,520 --> 00:14:42,960 Speaker 5: their quarter. 277 00:14:44,200 --> 00:14:45,280 Speaker 9: Yeah, No, certainly not. 278 00:14:45,480 --> 00:14:46,840 Speaker 10: And you know it was one of the I think 279 00:14:46,880 --> 00:14:49,880 Speaker 10: the top performers last year in the market, and certainly 280 00:14:49,960 --> 00:14:53,760 Speaker 10: off to a good start this year quarter with solid, 281 00:14:53,800 --> 00:14:56,280 Speaker 10: you know, beats both on the top and bottom line, 282 00:14:56,760 --> 00:15:00,000 Speaker 10: really driven by higher than expected volume in their power 283 00:15:00,240 --> 00:15:03,720 Speaker 10: energy business, as you alluded to. But I think the 284 00:15:04,200 --> 00:15:07,000 Speaker 10: real standout and the takeaway this quarter was really the 285 00:15:07,200 --> 00:15:11,280 Speaker 10: unprecedented order and backlog growth that we saw. Now we 286 00:15:11,320 --> 00:15:13,720 Speaker 10: came into the quarter with backlog already sitting at a 287 00:15:13,760 --> 00:15:17,320 Speaker 10: record level, but we saw orders increase more than seventy percent, 288 00:15:17,360 --> 00:15:21,000 Speaker 10: which drove nearly a thirty percent increase sequentially in the backlog. 289 00:15:22,200 --> 00:15:24,600 Speaker 10: And what's encouraging it seems that it's pretty broad based. 290 00:15:24,640 --> 00:15:27,880 Speaker 10: It's not just the data centers and AI, it's construction 291 00:15:27,960 --> 00:15:31,480 Speaker 10: starting to contribute, mining starting to contribute. So you're really 292 00:15:31,560 --> 00:15:33,960 Speaker 10: starting to see a lot of momentum starting to build 293 00:15:34,080 --> 00:15:36,880 Speaker 10: moving into twenty six. As we get these not only 294 00:15:36,920 --> 00:15:40,760 Speaker 10: the cyclical recovery start to materialize, but also the secular 295 00:15:40,800 --> 00:15:42,320 Speaker 10: tailwinds kind of converging here. 296 00:15:42,800 --> 00:15:44,600 Speaker 3: So it sounds like a number of different drivers and 297 00:15:44,640 --> 00:15:47,280 Speaker 3: do they all move to their own timeline in terms 298 00:15:47,320 --> 00:15:49,800 Speaker 3: of that cycle, you know, they're all kind of hitting 299 00:15:49,800 --> 00:15:50,880 Speaker 3: their stride at the same time. 300 00:15:52,560 --> 00:15:55,440 Speaker 10: Yeah, I think as we go into twenty six, you 301 00:15:55,520 --> 00:15:58,480 Speaker 10: are starting to see those those cycles converge. 302 00:15:59,120 --> 00:16:00,880 Speaker 9: The more cyclical mining. 303 00:16:00,600 --> 00:16:03,720 Speaker 10: And construction businesses have kind of been bouncing. 304 00:16:03,320 --> 00:16:04,800 Speaker 9: Along trough for a couple of years. 305 00:16:04,840 --> 00:16:08,440 Speaker 10: Now we're finally starting to see some stronger order activity 306 00:16:08,560 --> 00:16:12,880 Speaker 10: and activity momentum building on the non resident and even 307 00:16:12,920 --> 00:16:15,720 Speaker 10: on the residential side. In the North America mining, you're 308 00:16:15,760 --> 00:16:18,720 Speaker 10: starting to hear of some more projects on copper and gold, 309 00:16:19,120 --> 00:16:22,440 Speaker 10: and then obviously they can't add capacity fast enough. 310 00:16:22,440 --> 00:16:24,560 Speaker 9: When it comes to power generation. 311 00:16:24,360 --> 00:16:26,760 Speaker 10: They're going to be more than doubling their large engine 312 00:16:26,800 --> 00:16:29,440 Speaker 10: capacity through the end of the decade. So that's more 313 00:16:29,480 --> 00:16:32,520 Speaker 10: of a supply constraint as we look here at least. 314 00:16:32,520 --> 00:16:35,800 Speaker 5: And then your term, Chris, So when you talk to 315 00:16:35,800 --> 00:16:38,840 Speaker 5: institutional investors about your group, do people just buy the 316 00:16:38,880 --> 00:16:43,480 Speaker 5: group ie machinery, construction and when the cycles are coming together, 317 00:16:43,520 --> 00:16:44,520 Speaker 5: and then sell them on or not? 318 00:16:44,680 --> 00:16:47,200 Speaker 4: Is that where do I have to be real bottoms 319 00:16:47,280 --> 00:16:48,320 Speaker 4: up on individual companies? 320 00:16:49,640 --> 00:16:52,160 Speaker 10: You know, it varies, and I think it is becoming 321 00:16:52,200 --> 00:16:56,840 Speaker 10: a little bit more bottom up. You know, historically, for example, trucks, right, 322 00:16:56,840 --> 00:16:59,440 Speaker 10: you'd always buy when truck orders were at their worst 323 00:16:59,440 --> 00:17:02,360 Speaker 10: and bottom that's a short cycle business. You'd kind of 324 00:17:02,360 --> 00:17:06,000 Speaker 10: pile into those names at that point in time. Agg 325 00:17:06,440 --> 00:17:09,400 Speaker 10: is a little bit idiosyncratic in terms of how those 326 00:17:09,400 --> 00:17:12,119 Speaker 10: cycles work and a little bit detached from your traditional 327 00:17:12,160 --> 00:17:15,400 Speaker 10: economic cycles in that it's more driven by crop prices 328 00:17:15,400 --> 00:17:19,720 Speaker 10: and farmer incomes and then construction equipment certainly more cyclical 329 00:17:19,800 --> 00:17:23,760 Speaker 10: GDP type play. But what you're seeing now is you're 330 00:17:23,800 --> 00:17:26,800 Speaker 10: starting to see some divergence between those names that have 331 00:17:27,240 --> 00:17:29,919 Speaker 10: the data center AI exposure like the Caterpillars in the 332 00:17:29,920 --> 00:17:32,640 Speaker 10: comings of the world, and those have really outperformed over 333 00:17:32,640 --> 00:17:35,840 Speaker 10: the last twelve months because of their exposure, where a 334 00:17:35,840 --> 00:17:38,000 Speaker 10: lot of the other machinery names just aren't as a 335 00:17:38,280 --> 00:17:40,600 Speaker 10: lever to the data center play. 336 00:17:41,119 --> 00:17:43,280 Speaker 2: How exposed is Caterpillar to tariffs? 337 00:17:43,359 --> 00:17:45,199 Speaker 3: I mean there are some tariffs in place, and there 338 00:17:45,240 --> 00:17:48,160 Speaker 3: is on a daily basis, threats of new tariffs being 339 00:17:48,160 --> 00:17:48,760 Speaker 3: put in place. 340 00:17:50,359 --> 00:17:54,119 Speaker 10: Yeah, if you want to pick apart one negative in 341 00:17:54,160 --> 00:17:56,240 Speaker 10: the quarter, it was the tariffs. They did come in 342 00:17:56,280 --> 00:17:58,520 Speaker 10: a little bit higher than we expected, and it continues 343 00:17:58,560 --> 00:18:01,840 Speaker 10: to weigh on margins, particularly in the construction and mining businesses. 344 00:18:02,760 --> 00:18:06,000 Speaker 10: Tariffs and aggregate we're roughly a one point seven billion 345 00:18:06,040 --> 00:18:08,960 Speaker 10: dollar headwind in twenty twenty five. That's going to step 346 00:18:09,040 --> 00:18:11,679 Speaker 10: up in twenty twenty six to about two point six billion. 347 00:18:12,520 --> 00:18:15,760 Speaker 10: We've really seen Caterpillar with kind of hesitant to push 348 00:18:15,800 --> 00:18:18,760 Speaker 10: price to start to offset these I think that's really 349 00:18:18,800 --> 00:18:21,919 Speaker 10: been a concerted effort to try to gain market share, 350 00:18:22,119 --> 00:18:24,760 Speaker 10: particularly as we are at a softer part in the cycle. 351 00:18:25,000 --> 00:18:26,639 Speaker 10: I think pricing is going to become much more of 352 00:18:26,680 --> 00:18:29,399 Speaker 10: a contributor as we look into twenty six. Right now, 353 00:18:29,440 --> 00:18:32,080 Speaker 10: they're guidding to about a two percent contribution on the 354 00:18:32,080 --> 00:18:34,399 Speaker 10: pricing side, but I won't be surprised to see that 355 00:18:34,440 --> 00:18:36,440 Speaker 10: go a little bit higher, particularly as some of their 356 00:18:36,480 --> 00:18:38,000 Speaker 10: end markets start to recover. 357 00:18:42,119 --> 00:18:44,919 Speaker 4: Those front loaders, dump trucks, all that kind of stuff. 358 00:18:44,960 --> 00:18:47,720 Speaker 4: Where do they actually manufacture this stuff. 359 00:18:48,800 --> 00:18:49,920 Speaker 9: All over the world? Right? 360 00:18:49,960 --> 00:18:53,600 Speaker 10: They are the largest equipment producer globally. They have a 361 00:18:53,640 --> 00:18:57,199 Speaker 10: pretty extensive manufacturing footprint here in North America, but it 362 00:18:57,320 --> 00:19:00,760 Speaker 10: is a very global business and they certainly have a 363 00:19:00,800 --> 00:19:03,920 Speaker 10: market leadership position in most of the products that they sell. 364 00:19:04,760 --> 00:19:06,639 Speaker 3: I know, we'd like to look at Caterpillar as kind 365 00:19:06,640 --> 00:19:10,000 Speaker 3: of this barometer for global GDP because it's so exposed 366 00:19:10,000 --> 00:19:12,760 Speaker 3: to all over the world. Did the company say anything 367 00:19:12,800 --> 00:19:15,760 Speaker 3: in regards to what it is anticipating for growth for 368 00:19:15,880 --> 00:19:19,040 Speaker 3: this year, like hotspots and maybe slower parts of the world. 369 00:19:20,440 --> 00:19:20,680 Speaker 9: Yeah. 370 00:19:20,680 --> 00:19:23,880 Speaker 10: So they put out back in November at their analyst 371 00:19:24,000 --> 00:19:27,280 Speaker 10: a a five to seven percent revenue cag or target 372 00:19:27,280 --> 00:19:30,000 Speaker 10: through the end of the decade. They're kind of guiding 373 00:19:30,040 --> 00:19:32,480 Speaker 10: us to twenty six, being kind of towards the top 374 00:19:32,560 --> 00:19:34,719 Speaker 10: end of that range. So think, you know, seven percent 375 00:19:35,080 --> 00:19:38,040 Speaker 10: plus type growth. We actually think that might end up 376 00:19:38,080 --> 00:19:41,080 Speaker 10: being a little conservative, just given the strength that we're 377 00:19:41,080 --> 00:19:43,920 Speaker 10: seeing in the order book, just given that the backlock 378 00:19:43,960 --> 00:19:45,879 Speaker 10: continues to sit at a record level. So we have 379 00:19:46,000 --> 00:19:49,959 Speaker 10: really extended production visibility here for twenty twenty six. So 380 00:19:50,080 --> 00:19:52,760 Speaker 10: I actually think that outlook could be a little bit conservative, 381 00:19:53,200 --> 00:19:55,400 Speaker 10: particularly as we continue to see a lot of their 382 00:19:55,480 --> 00:19:56,920 Speaker 10: end markets come off to draw. 383 00:19:58,160 --> 00:20:02,879 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 384 00:20:03,040 --> 00:20:06,520 Speaker 1: and anywhere else you get your podcasts. 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