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: 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 00:00:23,880 --> 00:00:25,760 Speaker 2: Yesterday after the close, a lot of the big tech 7 00:00:25,840 --> 00:00:28,640 Speaker 2: names reporting, and it's kind of the market's kind of 8 00:00:28,640 --> 00:00:31,040 Speaker 2: trying to suss out some winners and losers. Google, I 9 00:00:31,040 --> 00:00:33,920 Speaker 2: guess on the plus side Meta, Yeah, not so Mindsight. 10 00:00:34,000 --> 00:00:36,080 Speaker 2: So let's check in with man Deep Singh. He does 11 00:00:36,120 --> 00:00:39,480 Speaker 2: all the technology stuff for Bloomberg Intelligence. Man Deep metatrating 12 00:00:39,600 --> 00:00:43,159 Speaker 2: down ten percent. Let's start there. What's the market reacting to? 13 00:00:44,600 --> 00:00:47,760 Speaker 3: Oh, the market is reacting to the capex increase when 14 00:00:47,920 --> 00:00:53,479 Speaker 3: they don't have much to show, unlike their hyperschol Cloud peers, 15 00:00:53,520 --> 00:00:57,800 Speaker 3: who clearly have seen that top line benefit. I mean, 16 00:00:57,880 --> 00:01:01,000 Speaker 3: Metta's top line growth is very strong, you know, thirty 17 00:01:01,000 --> 00:01:04,600 Speaker 3: three percent at the two hundred million dollar run rate 18 00:01:04,720 --> 00:01:07,880 Speaker 3: is very impressive. It's just that when you look for 19 00:01:07,920 --> 00:01:13,360 Speaker 3: that extra line item where AI is categorized separately, they 20 00:01:13,360 --> 00:01:15,480 Speaker 3: don't have much to show for it. And right now, 21 00:01:15,560 --> 00:01:20,000 Speaker 3: the growth in AI is around coding agents. So Meta 22 00:01:20,520 --> 00:01:24,520 Speaker 3: has a model, they've released it, but it's not something 23 00:01:24,600 --> 00:01:28,000 Speaker 3: that specializes in coding agent. They are targeting more of 24 00:01:28,040 --> 00:01:33,080 Speaker 3: the personalized superintelligence personal assystem that kind of a use case, 25 00:01:33,440 --> 00:01:36,240 Speaker 3: and they just haven't given us enough in terms of 26 00:01:36,280 --> 00:01:40,320 Speaker 3: our timeline when they will start monetizing that use case. So, 27 00:01:40,680 --> 00:01:45,160 Speaker 3: all in all, CAPEX increase tied to memory components, not 28 00:01:45,280 --> 00:01:48,960 Speaker 3: really tied to additional capacity, but it was enough to 29 00:01:49,080 --> 00:01:51,520 Speaker 3: cause this, you know, ten percent drawdown in the stock. 30 00:01:52,040 --> 00:01:56,600 Speaker 3: Overall fundamentals were still strong when they reported the quarter 31 00:01:56,720 --> 00:01:57,640 Speaker 3: for their core business. 32 00:01:57,840 --> 00:02:00,560 Speaker 4: Yeah, I guess investors don't like it to year when 33 00:02:00,720 --> 00:02:03,240 Speaker 4: the CEO is saying there isn't a very precise plan 34 00:02:03,280 --> 00:02:06,800 Speaker 4: for how each AI product will be cultivated sounds too 35 00:02:06,840 --> 00:02:09,320 Speaker 4: generic for their liking. We should mention as well. Meta 36 00:02:09,360 --> 00:02:11,239 Speaker 4: is now looking to sell up to twenty five billion 37 00:02:11,240 --> 00:02:13,720 Speaker 4: dollars in investment grade bonds to kind of fund out 38 00:02:14,080 --> 00:02:17,720 Speaker 4: all those spending plans they have. Speaking of spending plans, 39 00:02:17,840 --> 00:02:21,400 Speaker 4: alphabet is increasing its spending plans by I think about 40 00:02:21,400 --> 00:02:22,920 Speaker 4: another ten billion dollars. 41 00:02:24,040 --> 00:02:28,040 Speaker 3: Yeah, and look when you compare the magnitude of increases 42 00:02:28,080 --> 00:02:31,120 Speaker 3: from Microsoft, which raised almost you know, by thirty five 43 00:02:31,200 --> 00:02:35,880 Speaker 3: forty billion dollars in capex. Meta raised it by over 44 00:02:36,000 --> 00:02:40,480 Speaker 3: almost twenty billion, and that was mostly attributed to memory 45 00:02:40,520 --> 00:02:44,680 Speaker 3: price increases. So the question is why was Alphabet increased 46 00:02:44,800 --> 00:02:47,360 Speaker 3: not of the same magnitude. Yes, they raised, but it 47 00:02:47,440 --> 00:02:50,799 Speaker 3: was a very slight increase. And that kind of goes 48 00:02:50,840 --> 00:02:55,079 Speaker 3: to show that Alphabet, out of all the hyperscalers, has 49 00:02:55,120 --> 00:02:59,720 Speaker 3: the best capex efficiency. They are able to use their 50 00:02:59,720 --> 00:03:04,880 Speaker 3: commute across their apps so that it's searched YouTube. Also, 51 00:03:05,040 --> 00:03:08,040 Speaker 3: the cloud business is growing at the fastest rate compared 52 00:03:08,040 --> 00:03:12,480 Speaker 3: to other hyperscalers, so that capex efficiency is what's driving 53 00:03:12,600 --> 00:03:15,600 Speaker 3: a lot of the margin upside, and it's reflected, you know, 54 00:03:15,639 --> 00:03:18,240 Speaker 3: in their numbers and guidance. So even though it was 55 00:03:18,280 --> 00:03:21,600 Speaker 3: a bet and race from everyone, Alphabet's beaten race was 56 00:03:21,639 --> 00:03:24,360 Speaker 3: the most impressive and hence the stock reaction. 57 00:03:25,280 --> 00:03:28,480 Speaker 2: Mandy, where do you think we are in this hyper 58 00:03:28,520 --> 00:03:32,320 Speaker 2: investment phase for AI? Is are we going to do 59 00:03:32,320 --> 00:03:34,000 Speaker 2: this for another quarter or two or is this going 60 00:03:34,040 --> 00:03:36,320 Speaker 2: to be a couple three years. 61 00:03:37,120 --> 00:03:40,480 Speaker 3: I mean, this definitely has the makings of a super cycle. 62 00:03:40,840 --> 00:03:44,840 Speaker 3: Almost everyone you know on the call yesterday from the 63 00:03:44,880 --> 00:03:50,160 Speaker 3: management teams talked about how you know demand far exceeds supply, 64 00:03:50,880 --> 00:03:54,520 Speaker 3: and look, the compute usage is showing up in the 65 00:03:54,560 --> 00:03:58,480 Speaker 3: cloud numbers. When you think about even Amazon one hundred 66 00:03:58,520 --> 00:04:02,040 Speaker 3: and fifty billion dollar business growing at twenty eight percent 67 00:04:02,480 --> 00:04:06,240 Speaker 3: and Google eighty billion dollars cloud business growing at sixty 68 00:04:06,280 --> 00:04:09,880 Speaker 3: three percent. So you are seeing that ROI with these 69 00:04:09,960 --> 00:04:14,080 Speaker 3: AI investments. There's no reason to curtail that investment when 70 00:04:14,120 --> 00:04:16,520 Speaker 3: you're seeing this kind of a top line lift. The 71 00:04:16,560 --> 00:04:20,520 Speaker 3: only thing is, you know, component pricing a memory notably, 72 00:04:21,040 --> 00:04:24,880 Speaker 3: is eating up a lot of this CAPEX increase. That's 73 00:04:25,000 --> 00:04:28,440 Speaker 3: just again a function of demand being much higher than 74 00:04:28,480 --> 00:04:31,159 Speaker 3: what these companies can supply in terms of components. 75 00:04:32,360 --> 00:04:35,240 Speaker 4: Stay with us more from Bloomberg Intelligence coming up after this. 76 00:04:38,920 --> 00:04:42,600 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 77 00:04:42,680 --> 00:04:45,800 Speaker 1: weekdays at ten am Eastern on Apple Corplay and Android 78 00:04:45,800 --> 00:04:49,080 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 79 00:04:49,160 --> 00:04:52,279 Speaker 1: you get your podcasts, or watch us live on YouTube. 80 00:04:52,360 --> 00:04:55,840 Speaker 4: Doing some of the big earnings. Meta and Microsoft are 81 00:04:56,000 --> 00:04:58,680 Speaker 4: big drags on the Nasdaq one hundred, while you have 82 00:04:58,720 --> 00:05:02,680 Speaker 4: Alphabet going off basically to the moon right now because 83 00:05:02,720 --> 00:05:04,520 Speaker 4: it's seen as the winner, and it's seen as the 84 00:05:04,520 --> 00:05:09,600 Speaker 4: most efficient user of capex. It's been able to turn 85 00:05:09,640 --> 00:05:13,720 Speaker 4: around investments and returns on that Capex. Let's bring in 86 00:05:13,760 --> 00:05:15,960 Speaker 4: on rog Rana of Bloomberg Intelligence. He is our tech 87 00:05:16,000 --> 00:05:20,080 Speaker 4: analyst joining us from Chicago. Onrag walk us through the 88 00:05:20,120 --> 00:05:24,040 Speaker 4: results from Microsoft. First of all, Alexis mentioned how the 89 00:05:24,320 --> 00:05:27,279 Speaker 4: cop business saw good growth, but perhaps not good enough 90 00:05:27,320 --> 00:05:28,440 Speaker 4: for investors. 91 00:05:29,839 --> 00:05:32,240 Speaker 5: You know, again, it's a question of relative growth compared 92 00:05:32,279 --> 00:05:36,200 Speaker 5: to their peers. So for Microsoft, growth accelerated one hundred 93 00:05:36,200 --> 00:05:39,240 Speaker 5: one percentage points from thirty eight percent to thirty nine 94 00:05:39,240 --> 00:05:41,760 Speaker 5: in constant currency, But when you look at Google it 95 00:05:41,839 --> 00:05:44,320 Speaker 5: went from forty eight percent to sixty three. So I 96 00:05:44,320 --> 00:05:47,719 Speaker 5: think it's all it's a relative game. Even in the 97 00:05:47,720 --> 00:05:50,640 Speaker 5: case of Amazon Web Services last quarter they grew at 98 00:05:50,640 --> 00:05:53,120 Speaker 5: twenty four percent this quarter twenty eight, So we are 99 00:05:53,120 --> 00:05:55,840 Speaker 5: really splitting hairs. But I think that's what's really happening 100 00:05:55,839 --> 00:05:56,760 Speaker 5: at this point. 101 00:05:57,120 --> 00:05:59,800 Speaker 2: There's no scenario where Microsoft's not a huge winner in 102 00:05:59,839 --> 00:06:02,520 Speaker 2: a is there on a roun. 103 00:06:02,160 --> 00:06:03,960 Speaker 6: No, No, absolutely, you're right about it. 104 00:06:04,040 --> 00:06:06,120 Speaker 5: But again it's a matter of One of the things 105 00:06:06,120 --> 00:06:08,560 Speaker 5: we discussed even yesterday was if you go back in 106 00:06:08,600 --> 00:06:12,320 Speaker 5: the history of Microsoft, they were the first company to 107 00:06:12,480 --> 00:06:16,120 Speaker 5: showcase AI revenue and they saw a lot of benefit 108 00:06:16,480 --> 00:06:18,919 Speaker 5: for that one one and a half years when everybody 109 00:06:18,920 --> 00:06:22,760 Speaker 5: thought Amazon and Google is behind. Now it's slightly on 110 00:06:22,800 --> 00:06:25,159 Speaker 5: the other side. They are seeing the benefit of AI 111 00:06:25,400 --> 00:06:27,960 Speaker 5: which they didn't see, which means relative growth rates a 112 00:06:28,040 --> 00:06:30,520 Speaker 5: higher for them. But in the case of Microsoft, they 113 00:06:30,560 --> 00:06:33,640 Speaker 5: have a very successful AI business. Their AI round rate 114 00:06:33,760 --> 00:06:36,880 Speaker 5: is much higher than anybody at this point. They have 115 00:06:36,960 --> 00:06:40,839 Speaker 5: Copilot adoption very fast paced. Azure is doing well, and 116 00:06:40,839 --> 00:06:43,080 Speaker 5: the funny thing is Azure is now one hundred plus 117 00:06:43,279 --> 00:06:45,360 Speaker 5: billion dollar business. I think we think it's somewhere around 118 00:06:45,360 --> 00:06:48,240 Speaker 5: one hundred and ten billion, growing at forty percent. I mean, 119 00:06:48,279 --> 00:06:51,479 Speaker 5: I think that's very impressive. But again it's a question 120 00:06:51,560 --> 00:06:54,200 Speaker 5: of if Google can beat by such a big margin, well, 121 00:06:54,200 --> 00:06:55,160 Speaker 5: why why couldn't you. 122 00:06:55,880 --> 00:06:58,320 Speaker 4: I'm glad you bring up copilot because isn't there some 123 00:06:58,400 --> 00:07:02,200 Speaker 4: concern that there's only a small percentage of Microsoft Office 124 00:07:02,279 --> 00:07:05,240 Speaker 4: users who are paying for Copilot AI tools. I mean, 125 00:07:05,360 --> 00:07:07,240 Speaker 4: everyone has access to it, but not everyone wants to 126 00:07:07,240 --> 00:07:07,720 Speaker 4: pay for it. 127 00:07:09,080 --> 00:07:11,600 Speaker 5: That is the biggest growth opportunity for them. Frankly, if 128 00:07:11,640 --> 00:07:14,360 Speaker 5: you see they have about four hundred plus million users. 129 00:07:14,680 --> 00:07:17,280 Speaker 5: Out of those four hundred million users, we think about 130 00:07:17,320 --> 00:07:20,320 Speaker 5: two hundred of them are power users people like you 131 00:07:20,400 --> 00:07:24,080 Speaker 5: and Paul, and then within that cohote, only twenty million 132 00:07:24,120 --> 00:07:25,440 Speaker 5: of them are paying right now. 133 00:07:25,560 --> 00:07:28,200 Speaker 6: So the penetration rate is let's say about ten percent. 134 00:07:28,600 --> 00:07:31,840 Speaker 5: Over time, that's going to increase, and that's where the 135 00:07:31,960 --> 00:07:34,200 Speaker 5: art to increase is going to be. And see a 136 00:07:34,320 --> 00:07:38,120 Speaker 5: much rapid growth rate both in terms of the number 137 00:07:38,200 --> 00:07:40,680 Speaker 5: of users going up and then you know, taking up 138 00:07:40,720 --> 00:07:41,680 Speaker 5: dollars a long with it. 139 00:07:41,720 --> 00:07:44,240 Speaker 2: So get them hooked first, right, Paul, yep, this is 140 00:07:44,280 --> 00:07:47,000 Speaker 2: a milestone day for AI Universe. 141 00:07:47,040 --> 00:07:53,920 Speaker 7: You know why why I downloaded the chat gpt today 142 00:07:54,480 --> 00:07:56,360 Speaker 7: for the first time ever, first time? What was your 143 00:07:56,360 --> 00:07:57,640 Speaker 7: first question to chat gpt? 144 00:07:57,840 --> 00:08:00,680 Speaker 2: Well, Sarah Livesey, one of our producers, show me. She 145 00:08:00,760 --> 00:08:03,840 Speaker 2: went in said, hey, give me a picture of traders 146 00:08:04,200 --> 00:08:07,320 Speaker 2: looking for direction, you know, like in the market, and 147 00:08:07,360 --> 00:08:09,320 Speaker 2: it gave her like a great image. So I did 148 00:08:09,360 --> 00:08:11,080 Speaker 2: the same thing and it wasn't as good an image, 149 00:08:11,080 --> 00:08:12,600 Speaker 2: but it was a pretty good good image. So Sara 150 00:08:12,640 --> 00:08:16,120 Speaker 2: is much better than that than I am. But Fursing, 151 00:08:16,200 --> 00:08:19,160 Speaker 2: I'm getting there an rock. How about Amazon here their 152 00:08:19,200 --> 00:08:21,960 Speaker 2: cloud that business seems to be big and again another 153 00:08:21,960 --> 00:08:24,000 Speaker 2: one of these companies thrown a lot of money at 154 00:08:24,000 --> 00:08:24,520 Speaker 2: this business. 155 00:08:25,960 --> 00:08:28,920 Speaker 5: Now, Amazon Web Services over one hundred and fifty billion 156 00:08:28,920 --> 00:08:32,240 Speaker 5: dollars run rate. Business grew twenty eight percent. We think 157 00:08:32,280 --> 00:08:34,600 Speaker 5: that rate of growth actually improves in the next few 158 00:08:34,679 --> 00:08:38,600 Speaker 5: quarters because of the massive backlock. Imagine just a few 159 00:08:38,679 --> 00:08:42,439 Speaker 5: days ago they added open EI models into their entire ecosystem, 160 00:08:42,600 --> 00:08:45,080 Speaker 5: which they didn't have access to before. That's going to 161 00:08:45,640 --> 00:08:48,800 Speaker 5: you know, spur even more enterprise AI adoption. One of 162 00:08:48,880 --> 00:08:50,960 Speaker 5: the things people don't realize is when it comes to 163 00:08:51,040 --> 00:08:55,000 Speaker 5: Fortune two thousands, who are the biggest spenders of money, 164 00:08:55,320 --> 00:08:58,720 Speaker 5: bulk of their data is in Amazon Web Services. That's 165 00:08:58,720 --> 00:09:01,000 Speaker 5: all the cloud transition that get happening for the last 166 00:09:01,160 --> 00:09:04,360 Speaker 5: fifteen twenty years. So they are actually at the center 167 00:09:04,480 --> 00:09:08,160 Speaker 5: of this agentic shift for enterprises going from you know, 168 00:09:08,160 --> 00:09:10,520 Speaker 5: the legacy way of doing stuff towards agents. 169 00:09:11,720 --> 00:09:14,840 Speaker 7: Stay with us more from Bloomberg Intelligence coming up after this. 170 00:09:18,720 --> 00:09:22,400 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 171 00:09:22,480 --> 00:09:25,880 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Auto 172 00:09:25,960 --> 00:09:29,040 Speaker 1: with the Bloomberg Business app. Listen on demand wherever you 173 00:09:29,080 --> 00:09:32,040 Speaker 1: get your podcasts. Or watch us live on YouTube. 174 00:09:32,679 --> 00:09:33,640 Speaker 7: Let's head over to London. 175 00:09:33,679 --> 00:09:37,120 Speaker 2: Sam Fizzelli, director of Research for Global Industries, senior pharmer Analysts. 176 00:09:37,120 --> 00:09:38,600 Speaker 7: I have no idea where he is. He could be London, 177 00:09:38,640 --> 00:09:39,640 Speaker 7: convenientingwhere in the world. 178 00:09:39,760 --> 00:09:41,680 Speaker 2: That's how this guy rolls, but he covers all the 179 00:09:41,720 --> 00:09:44,880 Speaker 2: pharmer for Bloomberg Intelligence. Sam, I assume you and your 180 00:09:44,880 --> 00:09:46,320 Speaker 2: team have been kind of busy here. We've got some 181 00:09:46,360 --> 00:09:49,760 Speaker 2: earnings coming out of the farmer companies here Eli Lilly 182 00:09:50,400 --> 00:09:54,200 Speaker 2: raising its annual sales and profit forecast to high demand 183 00:09:54,240 --> 00:09:57,120 Speaker 2: forro BC medications, where that's just like perfect for this 184 00:09:57,160 --> 00:09:58,840 Speaker 2: market and a stocks up nine percent today. 185 00:09:59,040 --> 00:10:02,079 Speaker 7: What did you hear from Lill Yeah. 186 00:10:01,840 --> 00:10:02,319 Speaker 6: So, Paul. 187 00:10:02,840 --> 00:10:06,760 Speaker 8: I mean, the interesting thing here is that there's been 188 00:10:06,840 --> 00:10:07,720 Speaker 8: quite a lot of skipts. 189 00:10:07,920 --> 00:10:11,320 Speaker 6: Particularly everybody was so focused on this oral drug, you know. 190 00:10:11,240 --> 00:10:13,959 Speaker 8: The pill that they've got launched in the US, YEP, 191 00:10:14,360 --> 00:10:17,199 Speaker 8: and so focused on that and tracking the weekly prescriptions 192 00:10:17,480 --> 00:10:19,839 Speaker 8: that they forgot. Actually there's an en homeost Jugger note 193 00:10:19,880 --> 00:10:22,880 Speaker 8: of a business behind it and was driven this two 194 00:10:22,880 --> 00:10:25,160 Speaker 8: billion dollar increase from eighty to eighty two. On the 195 00:10:25,200 --> 00:10:29,200 Speaker 8: little side of the guidance for twenty twenty six in 196 00:10:29,320 --> 00:10:34,600 Speaker 8: sales is x US sales. So that's actually quite good 197 00:10:34,640 --> 00:10:37,760 Speaker 8: because a lot of people always just keep thinking that 198 00:10:38,080 --> 00:10:40,199 Speaker 8: everything is all US based and everything's. 199 00:10:39,800 --> 00:10:40,760 Speaker 6: Going to be driven by US. 200 00:10:40,800 --> 00:10:43,720 Speaker 8: But of course here we've got that increase and that's 201 00:10:43,760 --> 00:10:47,439 Speaker 8: what's driving it. High quality beat nine percent, nine point 202 00:10:47,480 --> 00:10:49,240 Speaker 8: one percent up this minute. 203 00:10:49,559 --> 00:10:51,679 Speaker 4: All right, so good news for those who are investors 204 00:10:51,720 --> 00:10:54,280 Speaker 4: in Eli Lilly. That's a massive move nine percent up 205 00:10:54,320 --> 00:10:55,520 Speaker 4: for the company. 206 00:10:56,280 --> 00:11:00,240 Speaker 8: It had been suffering Scarlett because of the issues people 207 00:11:00,280 --> 00:11:01,280 Speaker 8: worrying about that pill. 208 00:11:01,440 --> 00:11:03,400 Speaker 4: Ah, so maybe a little bit of catch up there 209 00:11:03,440 --> 00:11:06,680 Speaker 4: as well. Mark also reported results and it beat its 210 00:11:06,679 --> 00:11:10,320 Speaker 4: sales estimates. Demand for newer drugs remind me, does Mark 211 00:11:10,400 --> 00:11:12,480 Speaker 4: have a weight loss drug on the market or is 212 00:11:12,520 --> 00:11:13,959 Speaker 4: it developing any weight. 213 00:11:13,760 --> 00:11:15,160 Speaker 6: Loss drug they are developing. 214 00:11:15,200 --> 00:11:18,199 Speaker 8: They're developing one, yes, there, I think everybody is kind 215 00:11:18,240 --> 00:11:21,480 Speaker 8: of they've got one that they've licensed. Pretty much everybody's 216 00:11:21,480 --> 00:11:24,960 Speaker 8: got their finger in that pie. I can't say absolutely everybody. 217 00:11:25,200 --> 00:11:27,280 Speaker 8: Most people have got their finger in the pie trying 218 00:11:27,320 --> 00:11:32,000 Speaker 8: to get a something on the market. And rash AstraZeneca 219 00:11:32,640 --> 00:11:34,640 Speaker 8: and time will tell whether they can compete in this. 220 00:11:35,280 --> 00:11:37,840 Speaker 8: Clearly these guys are sewing up the market. Between themselves 221 00:11:37,880 --> 00:11:40,720 Speaker 8: and Nova Noor Disk. So Mark's results were a little 222 00:11:40,760 --> 00:11:43,320 Speaker 8: bit more I would say, meh, and as a sure 223 00:11:43,360 --> 00:11:46,920 Speaker 8: price suggested pointy six percent up, there was a beat. 224 00:11:46,960 --> 00:11:48,640 Speaker 8: But then of course that much of that was driven 225 00:11:48,679 --> 00:11:52,240 Speaker 8: by inventory build, which is not something that the market 226 00:11:52,280 --> 00:11:55,360 Speaker 8: gets too excited by because it's one off. And then 227 00:11:55,400 --> 00:11:57,400 Speaker 8: of course one of the reasons I think they've been 228 00:11:57,400 --> 00:12:00,520 Speaker 8: able to guide to a higher EPIS is because they're 229 00:12:00,520 --> 00:12:05,800 Speaker 8: going to have lower charges associated with an ideal they've 230 00:12:05,800 --> 00:12:09,280 Speaker 8: done and that's not really that's not a quigh quality beat. 231 00:12:09,720 --> 00:12:13,040 Speaker 6: So business steady issue. 232 00:12:12,800 --> 00:12:17,200 Speaker 7: Goes Mark based in Rahway, New Jersey station stop Rahway. 233 00:12:17,400 --> 00:12:17,800 Speaker 3: There you go. 234 00:12:17,880 --> 00:12:20,840 Speaker 7: That's how I know Rahway station stop Rahway, Like I 235 00:12:20,920 --> 00:12:24,040 Speaker 7: never get off. That's where k is is big farmer land. 236 00:12:24,280 --> 00:12:26,880 Speaker 7: It is Jersey that you can just have an that's 237 00:12:26,920 --> 00:12:28,160 Speaker 7: the entire state practically. 238 00:12:29,480 --> 00:12:33,720 Speaker 2: Mark so sam for these oral obesity drugs. To what 239 00:12:34,000 --> 00:12:36,040 Speaker 2: degree do you think that's going to expand the market. 240 00:12:38,000 --> 00:12:41,240 Speaker 6: Yeah, so I think cann get down these expectations. 241 00:12:41,520 --> 00:12:43,440 Speaker 8: Folks are looking for one and a half billion dollars 242 00:12:43,440 --> 00:12:47,000 Speaker 8: from a Lily's pill this year and it's only. 243 00:12:46,840 --> 00:12:48,480 Speaker 6: Been on the market for a couple of a couple of. 244 00:12:48,480 --> 00:12:52,920 Speaker 8: Weeks to or three weeks, right, so, and that might 245 00:12:53,000 --> 00:12:55,320 Speaker 8: be a tough number to get to, especially listening to 246 00:12:55,360 --> 00:12:57,280 Speaker 8: what the management were saying a little bit about the 247 00:12:57,280 --> 00:12:59,040 Speaker 8: fact that they need to activate a whole bunch of 248 00:13:00,400 --> 00:13:03,319 Speaker 8: et cetera. And there is a question that comes to mind. 249 00:13:03,480 --> 00:13:06,439 Speaker 8: We know that there we go VW pill. Although it's 250 00:13:06,440 --> 00:13:07,880 Speaker 8: a bit more of a cumbersome thing. You have to 251 00:13:07,920 --> 00:13:10,520 Speaker 8: take it half an hour before eating breakfast, et cetera. 252 00:13:12,160 --> 00:13:14,360 Speaker 8: It gives you a better weight loss in terms of 253 00:13:14,400 --> 00:13:17,760 Speaker 8: the average weight loss, say fourteen percent versus twelve Let's 254 00:13:17,760 --> 00:13:20,760 Speaker 8: say let's say that's about the delta between them and we. 255 00:13:21,720 --> 00:13:24,280 Speaker 8: So what are you going to do? You're going to 256 00:13:24,320 --> 00:13:28,600 Speaker 8: worry so much about your breakfast. I mean, nobody gets 257 00:13:28,679 --> 00:13:31,120 Speaker 8: up and eats straight away, right, so they're going to 258 00:13:31,280 --> 00:13:34,560 Speaker 8: take their job, potentially, shower, get ready, et cetera. So 259 00:13:35,160 --> 00:13:38,960 Speaker 8: maybe it's a bit more likely that people will continue 260 00:13:38,960 --> 00:13:40,720 Speaker 8: on that and that really will have a tough time 261 00:13:41,120 --> 00:13:43,600 Speaker 8: gaining momentum with its aural pill, which is an aural 262 00:13:43,679 --> 00:13:46,360 Speaker 8: pill literally an oral pill. You just pop it, nothing 263 00:13:46,400 --> 00:13:50,640 Speaker 8: to do with its fasting or anything. And then of 264 00:13:50,640 --> 00:13:52,520 Speaker 8: course you go to twenty thirty, you get to twenty 265 00:13:52,520 --> 00:13:58,080 Speaker 8: eight billion dollars. So look, they have the better obesity 266 00:13:58,160 --> 00:14:00,880 Speaker 8: injection today in terms of efficacy. 267 00:14:02,760 --> 00:14:05,360 Speaker 6: Nova has the better pill in terms of efficacy. 268 00:14:05,679 --> 00:14:07,880 Speaker 8: So it's just going to be both of them are 269 00:14:07,880 --> 00:14:09,880 Speaker 8: going to be finding for that market share, and Nova's 270 00:14:09,920 --> 00:14:11,160 Speaker 8: kind of corrected quite a lot. 271 00:14:12,480 --> 00:14:13,120 Speaker 7: Stay with us. 272 00:14:13,160 --> 00:14:14,959 Speaker 4: More from Bloomberg Intelligence. 273 00:14:14,480 --> 00:14:15,320 Speaker 7: Coming up after this. 274 00:14:18,679 --> 00:14:22,400 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 275 00:14:22,480 --> 00:14:25,520 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 276 00:14:25,560 --> 00:14:28,880 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 277 00:14:28,920 --> 00:14:32,040 Speaker 1: you get your podcasts, or watch us live on YouTube. 278 00:14:32,800 --> 00:14:35,680 Speaker 2: All right, let's get back to some of these earnings here. 279 00:14:36,160 --> 00:14:38,960 Speaker 2: Caterpillar some really strong numbers here, and when we want 280 00:14:38,960 --> 00:14:40,720 Speaker 2: to talk all that big machinery stuff, we go to 281 00:14:40,760 --> 00:14:44,080 Speaker 2: Chris Giolino. He's a Bloomberg Intelligence follows all those big 282 00:14:44,520 --> 00:14:47,080 Speaker 2: engineering companies and construction companies. 283 00:14:47,200 --> 00:14:50,080 Speaker 7: Chris talked to us about Caterpillar here and their quarter. 284 00:14:51,560 --> 00:14:54,480 Speaker 9: Yeah, you know, kat continues to deliver against pretty lofty 285 00:14:54,520 --> 00:14:57,720 Speaker 9: expectations with another top and bottom line beat this quarter, 286 00:14:58,640 --> 00:15:02,640 Speaker 9: really solid across the highlighted by better than expected performance 287 00:15:02,680 --> 00:15:06,480 Speaker 9: in their construction business and sustain momentum power and energy. 288 00:15:06,880 --> 00:15:10,440 Speaker 9: But I think really more importantly here, their record backlog 289 00:15:10,520 --> 00:15:15,800 Speaker 9: continues to grow significantly quarter over quarter, and management raised 290 00:15:15,800 --> 00:15:19,800 Speaker 9: their long term twenty thirty growth targets. They also announced 291 00:15:19,840 --> 00:15:22,480 Speaker 9: that they're going to invest in some additional large engine 292 00:15:22,520 --> 00:15:27,240 Speaker 9: capacity expansion. So the long term visibility just continues to improve, 293 00:15:27,320 --> 00:15:30,080 Speaker 9: which we think, you know, should continue to drive these 294 00:15:30,280 --> 00:15:32,080 Speaker 9: upward earning cycle revision. 295 00:15:32,680 --> 00:15:35,080 Speaker 4: And this is something that Matt Griffin of Bloomberg News 296 00:15:35,080 --> 00:15:37,200 Speaker 4: has highlighted. He came on to talk to us about 297 00:15:37,200 --> 00:15:40,280 Speaker 4: how Caterpillar was another way to play the AI boom. 298 00:15:40,680 --> 00:15:45,000 Speaker 4: How much of this backlog and the growth that Caterpillar 299 00:15:45,040 --> 00:15:47,760 Speaker 4: is seeing is directly tied to AI build out. 300 00:15:49,440 --> 00:15:52,760 Speaker 9: So it's a large portion, right, It's you know, now 301 00:15:52,880 --> 00:15:55,880 Speaker 9: power and energy is approaching, you know, roughly half the 302 00:15:55,920 --> 00:15:58,360 Speaker 9: size of the business. But I think one of the 303 00:15:58,400 --> 00:16:01,680 Speaker 9: takeaways I took from this COO was that the backlog 304 00:16:01,800 --> 00:16:05,680 Speaker 9: was really up across all businesses, and it's kind of 305 00:16:05,720 --> 00:16:08,480 Speaker 9: at a unique time for Caterpillar, and that not only 306 00:16:08,480 --> 00:16:10,960 Speaker 9: do we have all these secular tailwinds on the power 307 00:16:11,000 --> 00:16:14,000 Speaker 9: generation side, but now we're starting to see that the 308 00:16:14,200 --> 00:16:17,560 Speaker 9: cyclical tailwinds start to kick in in terms of construction 309 00:16:17,680 --> 00:16:21,320 Speaker 9: and mining, So all three businesses really starting to contribute 310 00:16:21,400 --> 00:16:23,320 Speaker 9: to the overall enterprise. 311 00:16:23,600 --> 00:16:26,520 Speaker 2: And shares a Caterpillar today are up eight point eight 312 00:16:26,560 --> 00:16:29,400 Speaker 2: percent of fifty three percent this year, up one hundred 313 00:16:29,400 --> 00:16:31,880 Speaker 2: and eighty four percent on a trailing twelve month basis. Wow, 314 00:16:32,160 --> 00:16:35,200 Speaker 2: fifty two week high, an all time high for the 315 00:16:35,240 --> 00:16:37,240 Speaker 2: stock eight hundred and eighty dollars a share. 316 00:16:37,400 --> 00:16:38,200 Speaker 7: They need a ten for. 317 00:16:38,160 --> 00:16:42,720 Speaker 2: One split badly. I think so it is just because 318 00:16:42,760 --> 00:16:45,600 Speaker 2: of the power business matter. When I think it, you know, 319 00:16:45,840 --> 00:16:48,080 Speaker 2: company like Caterpillar, I think of a cyclical business. 320 00:16:48,120 --> 00:16:50,560 Speaker 7: Is this making this business less cyclical? 321 00:16:52,840 --> 00:16:56,240 Speaker 9: You know, it may help mitigate some of the cyclicality 322 00:16:56,360 --> 00:16:58,160 Speaker 9: At the end of the day, I don't think it 323 00:16:58,360 --> 00:17:01,400 Speaker 9: changes the underlying fundam mentals of the business. This is 324 00:17:01,400 --> 00:17:05,600 Speaker 9: still ultimately going to be a cyclical business over time. 325 00:17:06,680 --> 00:17:09,840 Speaker 9: But you're certainly seeing that, you know, the power gen 326 00:17:10,760 --> 00:17:14,880 Speaker 9: power energy business, that backlog just continues to grow. So 327 00:17:14,960 --> 00:17:19,320 Speaker 9: we have that additional production visibility which has really helped, 328 00:17:19,320 --> 00:17:21,560 Speaker 9: you know, provide a little bit of a floor at 329 00:17:21,640 --> 00:17:25,400 Speaker 9: least during this downturn. As construction and mining were quite 330 00:17:25,440 --> 00:17:29,159 Speaker 9: soft over the past few years. So yeah, short answer, 331 00:17:29,480 --> 00:17:32,520 Speaker 9: it helps mitigate it, but longer term it's still it's 332 00:17:32,520 --> 00:17:33,960 Speaker 9: going to be a cyclical business. 333 00:17:34,320 --> 00:17:36,720 Speaker 4: Okay, I'm still kind of stunned by some of the 334 00:17:36,800 --> 00:17:40,200 Speaker 4: numbers that Paul just rattled off. Who is Caterpillar's biggest competitor, 335 00:17:40,240 --> 00:17:42,800 Speaker 4: who picks up some of the slack that Caterpillar can't 336 00:17:42,800 --> 00:17:43,080 Speaker 4: get to. 337 00:17:44,520 --> 00:17:46,639 Speaker 9: Yeah, I mean, as Paul alluded to, I mean, the 338 00:17:46,760 --> 00:17:49,520 Speaker 9: numbers are quite staggering, and really if you look at 339 00:17:49,560 --> 00:17:53,960 Speaker 9: the valuations, it's quite hard to digest as well. But 340 00:17:54,800 --> 00:17:58,800 Speaker 9: you know, they continue to deliver and exceed expectations. It 341 00:17:58,840 --> 00:18:01,879 Speaker 9: seems like quarter and in quoter out In terms of competition, 342 00:18:02,760 --> 00:18:04,280 Speaker 9: you know, if you think about some of the more 343 00:18:04,320 --> 00:18:08,920 Speaker 9: traditional equipment, particularly in the dirt or mining, it's Comatsu. 344 00:18:09,200 --> 00:18:13,719 Speaker 9: They are the largest competitor to cat particularly on some 345 00:18:13,760 --> 00:18:17,480 Speaker 9: of the equipment businesses. You also have Deer who's trying to, 346 00:18:17,600 --> 00:18:20,879 Speaker 9: you know, make bigger inroads into construction equipment. They're launching 347 00:18:20,920 --> 00:18:24,240 Speaker 9: a whole new excavator lineup, and then there's a number 348 00:18:24,240 --> 00:18:28,080 Speaker 9: of other regional players. The hatachis Volvos of the world, 349 00:18:28,520 --> 00:18:31,480 Speaker 9: and then on the power gen side, it's pretty diverse. 350 00:18:32,119 --> 00:18:33,879 Speaker 9: You know where Cat plays, it still tends to be 351 00:18:33,920 --> 00:18:35,920 Speaker 9: kind of at the smaller end of the spectrum, right, 352 00:18:36,400 --> 00:18:39,040 Speaker 9: So think you know companies like Cummins who also have 353 00:18:39,119 --> 00:18:41,840 Speaker 9: the standby your backup power capacity. 354 00:18:43,240 --> 00:18:47,919 Speaker 1: This is the Bloomberg Intelligence podcast, available on Apple, Spotify, 355 00:18:48,119 --> 00:18:51,560 Speaker 1: and anywhere else you get your podcasts. 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