1 00:00:02,759 --> 00:00:10,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,640 --> 00:00:14,600 Speaker 1: Bloomberg Intelligence podcast. Catch us Live weekdays at ten am 3 00:00:14,640 --> 00:00:17,880 Speaker 1: Easterned on Apple Coarclay, and Android Auto with the Bloomberg 4 00:00:17,960 --> 00:00:21,080 Speaker 1: Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,400 --> 00:00:23,560 Speaker 1: or watch us live on YouTube. 6 00:00:24,079 --> 00:00:27,280 Speaker 2: Looking at the news, Met Sarah shares tumbled after Noboode 7 00:00:27,280 --> 00:00:30,280 Speaker 2: nord Dick's declined to further raise its offer for the 8 00:00:30,360 --> 00:00:33,800 Speaker 2: US maker of an experimental weight loss drug, bringing a 9 00:00:33,840 --> 00:00:35,720 Speaker 2: bidding war with Pfizer to an end. 10 00:00:35,760 --> 00:00:38,040 Speaker 3: I like the good bidding war. Being a former. 11 00:00:37,760 --> 00:00:40,440 Speaker 2: Banker, Sam Fazzelli joins US here director of research for 12 00:00:40,440 --> 00:00:44,840 Speaker 2: Global Industries. He covers all the healthcare stuff for Bloomberg Intelligence. 13 00:00:44,840 --> 00:00:45,760 Speaker 3: He's based in London. 14 00:00:45,960 --> 00:00:50,240 Speaker 2: So how good is this Met Sarah company? Sam and 15 00:00:51,360 --> 00:00:53,560 Speaker 2: their drug? How good is met Sarah? Because boy, it 16 00:00:53,560 --> 00:00:55,400 Speaker 2: seemed like everybody wanted a piece of it. 17 00:00:56,920 --> 00:01:02,080 Speaker 4: Yeah. So, Paul, before this last week, sorry, I've been 18 00:01:02,120 --> 00:01:03,800 Speaker 4: off and you know what happens to your brain when 19 00:01:03,840 --> 00:01:07,120 Speaker 4: you're off for a few days. Before last week, which 20 00:01:07,160 --> 00:01:11,000 Speaker 4: is called we had the obesity week right where my 21 00:01:11,040 --> 00:01:13,640 Speaker 4: colleague mug Show was at. There was a little bit 22 00:01:13,680 --> 00:01:16,280 Speaker 4: of confusion around how good their data was, how good 23 00:01:16,319 --> 00:01:20,480 Speaker 4: their assets were in the obesity space, and some questions 24 00:01:20,520 --> 00:01:23,600 Speaker 4: about can they really be dosed once a month if 25 00:01:23,600 --> 00:01:26,800 Speaker 4: people wanted to do that. Do we really know what 26 00:01:26,840 --> 00:01:29,840 Speaker 4: the side effect profile is like? Given the way that 27 00:01:30,040 --> 00:01:32,160 Speaker 4: disclosed so far, and of course last week you cleared 28 00:01:32,200 --> 00:01:34,920 Speaker 4: most of it up. The side effect profile is the 29 00:01:34,959 --> 00:01:37,200 Speaker 4: same as most of these GLP wilogy. You get some nausea, 30 00:01:37,800 --> 00:01:42,600 Speaker 4: in some tough cases, you get some vomiting, but those 31 00:01:42,640 --> 00:01:44,600 Speaker 4: are early on and they get out of the way 32 00:01:44,720 --> 00:01:46,800 Speaker 4: if you can withstand them. You seem to get the 33 00:01:46,840 --> 00:01:49,360 Speaker 4: benefit and it seems to work pretty well as a 34 00:01:49,360 --> 00:01:52,240 Speaker 4: once monthly drug, but there's always more wood to be chopped. 35 00:01:52,240 --> 00:01:55,080 Speaker 4: You know what these things are like. So the assets 36 00:01:55,120 --> 00:02:01,240 Speaker 4: look great, they're competitive. Adfiser just stood this ground and 37 00:02:01,480 --> 00:02:03,520 Speaker 4: put the bid up. And of course I think what 38 00:02:03,800 --> 00:02:06,559 Speaker 4: Clinch did was what we'd be going on for ages 39 00:02:06,600 --> 00:02:08,680 Speaker 4: about for the past ten days or twenty days about, 40 00:02:08,720 --> 00:02:11,919 Speaker 4: is that Nova's deal had the risk of not being 41 00:02:11,919 --> 00:02:15,960 Speaker 4: able to pass due to competition competition issue with FTC issues, 42 00:02:16,280 --> 00:02:18,520 Speaker 4: and it sounds like the FTC had had given Metzera 43 00:02:18,680 --> 00:02:20,959 Speaker 4: call saying look, if you go with that there is 44 00:02:21,000 --> 00:02:24,200 Speaker 4: a risk you won't close, so do whatever you think 45 00:02:24,280 --> 00:02:26,000 Speaker 4: is the right thing for your shareholders. And they did 46 00:02:26,040 --> 00:02:27,320 Speaker 4: in the end and find as it did a bit 47 00:02:27,360 --> 00:02:28,280 Speaker 4: spit right. 48 00:02:28,400 --> 00:02:31,440 Speaker 5: So Novo Nordisk one in a way in that Vizer 49 00:02:31,560 --> 00:02:33,799 Speaker 5: is paying up more. Does that actually work in Nova 50 00:02:33,840 --> 00:02:38,080 Speaker 5: Nordisks favor or does it? Is it still as desperate 51 00:02:38,120 --> 00:02:41,079 Speaker 5: as it was before to look for some new catalysts 52 00:02:41,080 --> 00:02:42,160 Speaker 5: in the obesity market. 53 00:02:43,680 --> 00:02:47,000 Speaker 4: I mean, I'm not going to call Novo desperate. I 54 00:02:47,000 --> 00:02:49,080 Speaker 4: think they have assets in there. I think they wanted 55 00:02:49,080 --> 00:02:55,240 Speaker 4: to add some more options to their their sales reps 56 00:02:55,360 --> 00:02:59,320 Speaker 4: bags over time, so I wouldn't call them desperate, but 57 00:02:59,360 --> 00:03:02,360 Speaker 4: they're obviously by going after this, they did say that 58 00:03:02,400 --> 00:03:05,120 Speaker 4: we need more assets in our bang so and Lily 59 00:03:05,160 --> 00:03:07,440 Speaker 4: wasn't in the game. So it just gives them. That 60 00:03:07,800 --> 00:03:11,720 Speaker 4: gives you that flavor that they are and I think 61 00:03:11,720 --> 00:03:13,959 Speaker 4: the market's telling you that. Look at the divergence of 62 00:03:14,000 --> 00:03:17,239 Speaker 4: the share price performance of Lily versus never noticed that 63 00:03:18,240 --> 00:03:22,040 Speaker 4: there's the market favoring the drugs that Lily has got 64 00:03:22,040 --> 00:03:24,880 Speaker 4: on the market today and to compete they needed to 65 00:03:24,960 --> 00:03:27,000 Speaker 4: get some more. So I think this is not the 66 00:03:27,120 --> 00:03:29,760 Speaker 4: end for novo at all in this space. There's lots 67 00:03:29,800 --> 00:03:34,440 Speaker 4: of other interesting obviously assets coming up with different mechanisms. 68 00:03:34,480 --> 00:03:36,320 Speaker 4: That's the thing that I think the company is now 69 00:03:36,360 --> 00:03:38,200 Speaker 4: going to have to think about rather than trying to 70 00:03:38,200 --> 00:03:40,280 Speaker 4: go after the same mechanism all the time. 71 00:03:40,920 --> 00:03:45,080 Speaker 2: So, Sam, all these big, big cap pharmaceutical companies that 72 00:03:45,080 --> 00:03:47,520 Speaker 2: you've covered for decades, I kind of always thought they 73 00:03:47,520 --> 00:03:50,600 Speaker 2: were big diversified portfolios of lots of different drugs and 74 00:03:50,640 --> 00:03:53,320 Speaker 2: therapeutics and you know, but Bay, when I look at 75 00:03:53,320 --> 00:03:56,160 Speaker 2: your stocks this year, it seems like there's halves and 76 00:03:56,200 --> 00:04:00,360 Speaker 2: have nots. If you have obesity exposure, the stocks up, 77 00:04:00,640 --> 00:04:03,000 Speaker 2: and if you don't, they're down. Is that kind of 78 00:04:03,120 --> 00:04:06,000 Speaker 2: how your world's evolved into over the last several years. 79 00:04:07,240 --> 00:04:11,000 Speaker 4: I would just give you one little caveat to the Astrosenicasenica. 80 00:04:11,040 --> 00:04:13,360 Speaker 4: I think it's doing fine. And then they have an 81 00:04:13,360 --> 00:04:16,800 Speaker 4: obesity asset, but it's not their major game. Their big 82 00:04:16,839 --> 00:04:21,400 Speaker 4: plays in oncology cardiovascular is there and they're adding it 83 00:04:21,400 --> 00:04:25,920 Speaker 4: to it. So, yes, obesity the has been the talk 84 00:04:26,000 --> 00:04:29,039 Speaker 4: of this this past twenty twenty five. I think you'll 85 00:04:29,080 --> 00:04:31,279 Speaker 4: still be the talk of twenty twenty six. But there's 86 00:04:31,279 --> 00:04:34,640 Speaker 4: a lot more going on in pharma neuroscience. Diseases of 87 00:04:34,680 --> 00:04:38,400 Speaker 4: the brain, diseases of mental health are getting much more attention. 88 00:04:38,880 --> 00:04:44,040 Speaker 4: Cardiovascular aside from obesity, is getting quite a lot of 89 00:04:44,080 --> 00:04:46,880 Speaker 4: attention in heart to treat hype atension, et cetera. I 90 00:04:46,960 --> 00:04:48,800 Speaker 4: have to tell you, I don't think there's an area, 91 00:04:49,080 --> 00:04:54,440 Speaker 4: perhaps antibiotics set aside, that is not getting a significant 92 00:04:54,440 --> 00:04:57,440 Speaker 4: amount of progress across some farmer company somewhere. 93 00:04:58,760 --> 00:05:02,560 Speaker 5: Is what happened with Metsara, no Nordisk afisor an unabashed 94 00:05:02,680 --> 00:05:04,719 Speaker 5: victory for Eli Lilly. I mean, does it just kind 95 00:05:04,720 --> 00:05:07,159 Speaker 5: of keep on moving forward or does any of this 96 00:05:07,560 --> 00:05:09,800 Speaker 5: kind of hurt Eli Lilly's market position. 97 00:05:11,400 --> 00:05:13,000 Speaker 4: No, I mean, at the end of the day, there'll 98 00:05:13,040 --> 00:05:15,800 Speaker 4: be multiple players in this space as that are now 99 00:05:15,839 --> 00:05:19,400 Speaker 4: too at least, and I think Eli Lily is currently 100 00:05:19,560 --> 00:05:21,800 Speaker 4: very well placed with the assets that they have today 101 00:05:22,800 --> 00:05:25,320 Speaker 4: to compete, and they're showing that they're competing very very 102 00:05:25,360 --> 00:05:28,960 Speaker 4: effectively and in some cases winning market share from Noma, 103 00:05:29,040 --> 00:05:29,560 Speaker 4: not disc. 104 00:05:29,839 --> 00:05:32,320 Speaker 2: Sam got about thirty seconds left. What's that you have 105 00:05:32,360 --> 00:05:36,400 Speaker 2: a little hindsight here, President Trump threatening medical funding at. 106 00:05:36,360 --> 00:05:37,280 Speaker 4: The university level. 107 00:05:37,360 --> 00:05:39,080 Speaker 3: What's the updated there with the status of that. 108 00:05:40,360 --> 00:05:43,000 Speaker 4: Yeah, it seems to be that some universities are getting 109 00:05:43,040 --> 00:05:47,440 Speaker 4: some reprieve from general funding issues, but medical funding is 110 00:05:47,440 --> 00:05:49,680 Speaker 4: something that I keep scratching my head on. I don't 111 00:05:49,760 --> 00:05:52,680 Speaker 4: understand why you would want to cut off funding to 112 00:05:52,800 --> 00:05:56,479 Speaker 4: research and funding to medicine in general, because that is 113 00:05:56,600 --> 00:06:00,120 Speaker 4: a major driver of economic boom in the US. And 114 00:06:00,160 --> 00:06:04,040 Speaker 4: it's not just medicine, it's also stem I don't understand it. 115 00:06:05,240 --> 00:06:08,320 Speaker 3: Stay with us more from Bloomberg Intelligence coming up after this. 116 00:06:11,960 --> 00:06:15,640 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 117 00:06:15,720 --> 00:06:18,839 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 118 00:06:18,839 --> 00:06:22,159 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 119 00:06:22,200 --> 00:06:25,760 Speaker 1: you get your podcasts, or watch us live on YouTube. 120 00:06:26,600 --> 00:06:28,599 Speaker 2: Man Deep Singh just barely made it under the wire 121 00:06:28,640 --> 00:06:30,040 Speaker 2: to get here to talk to us today. Then I 122 00:06:30,320 --> 00:06:31,480 Speaker 2: was going to give him a hard time, but then 123 00:06:31,480 --> 00:06:33,880 Speaker 2: I remember he has like five other jobs. He's like 124 00:06:34,240 --> 00:06:37,880 Speaker 2: senior research channels covering technology. He manages a bunch of people. 125 00:06:38,560 --> 00:06:44,040 Speaker 5: He's also updating the AI tech guide, that that slide 126 00:06:44,080 --> 00:06:45,159 Speaker 5: that you're always talking about. 127 00:06:45,200 --> 00:06:47,400 Speaker 2: You know, all right, we'll cut a break here. Many 128 00:06:47,400 --> 00:06:49,200 Speaker 2: Deep sing joints us here. He's our senior techauist the 129 00:06:49,200 --> 00:06:51,840 Speaker 2: Bloomberg Intelligence managing it's like hurting it. 130 00:06:52,160 --> 00:06:53,360 Speaker 4: You know, a group of cats. 131 00:06:53,080 --> 00:06:55,400 Speaker 2: And you're managing research channels because they, by definition, they 132 00:06:55,440 --> 00:06:59,720 Speaker 2: don't want to be managed. You know, Taiwan semiconductor manufacturing, 133 00:07:00,000 --> 00:07:01,599 Speaker 2: we don't pick attention to this one. 134 00:07:01,760 --> 00:07:04,000 Speaker 3: It's chips and stuff like that. That's not a lot 135 00:07:04,040 --> 00:07:04,400 Speaker 3: of fun. 136 00:07:04,800 --> 00:07:05,559 Speaker 4: But this is interesting. 137 00:07:05,560 --> 00:07:09,120 Speaker 2: They reported some numbers slower growth, and I think for 138 00:07:09,200 --> 00:07:11,280 Speaker 2: those that are concerned about the growth of this AI 139 00:07:11,400 --> 00:07:13,480 Speaker 2: juggernaut that we've all been on over a couple of years, 140 00:07:13,760 --> 00:07:16,840 Speaker 2: you're wondering does slow and growth at Taiwan Semi confector 141 00:07:16,880 --> 00:07:19,440 Speaker 2: mean anything for the industry? Written large, Andy, what do 142 00:07:19,440 --> 00:07:22,320 Speaker 2: you think when you saw the Taiwan Semiconductor numbers. 143 00:07:22,480 --> 00:07:25,440 Speaker 6: I mean, Taiwan Semi is unique because they give you 144 00:07:25,560 --> 00:07:28,560 Speaker 6: monthly numbers. So all of our companies report on a 145 00:07:28,680 --> 00:07:32,920 Speaker 6: quarterly basis. And when I look at Taiwan Semi's quarterly results, 146 00:07:33,440 --> 00:07:37,080 Speaker 6: they had over thirty percent growth. Gave a guide where 147 00:07:37,240 --> 00:07:40,600 Speaker 6: AI would be growing, you know, almost fifty percent plus 148 00:07:40,640 --> 00:07:44,160 Speaker 6: over the next five years. And so if you know 149 00:07:44,280 --> 00:07:48,280 Speaker 6: this deceleration is happening for a reason, you know I 150 00:07:48,320 --> 00:07:51,800 Speaker 6: would attribute it to the diversification of their business, because 151 00:07:51,840 --> 00:07:54,040 Speaker 6: you have to remember Apple is more than twenty percent 152 00:07:54,080 --> 00:07:57,000 Speaker 6: of their revenue and video is close to twenty percent now, 153 00:07:57,480 --> 00:08:01,360 Speaker 6: and then they also have some auto's revenues, some analog business. 154 00:08:01,480 --> 00:08:06,280 Speaker 6: So what is happening right now is everyone is putting 155 00:08:06,280 --> 00:08:10,240 Speaker 6: their dollars in AI capex, but then they have to 156 00:08:10,320 --> 00:08:14,040 Speaker 6: take away spending from elsewhere, and so the non AI 157 00:08:14,320 --> 00:08:18,400 Speaker 6: piece of the hardware spend that seems to be slowing down, 158 00:08:18,520 --> 00:08:21,640 Speaker 6: although we haven't really seen that. Even with PC sales 159 00:08:22,000 --> 00:08:24,600 Speaker 6: things seem to be steady. But that could be one 160 00:08:24,640 --> 00:08:26,880 Speaker 6: reason I can think of in terms of why the 161 00:08:27,040 --> 00:08:30,640 Speaker 6: monthly number was slightly weak, And there could be seasonality 162 00:08:30,680 --> 00:08:34,640 Speaker 6: as well. I mean, this is a monthly number. Could 163 00:08:34,679 --> 00:08:37,600 Speaker 6: happen that the next two months actually are above thirty percent, 164 00:08:37,679 --> 00:08:39,920 Speaker 6: and then the overall quarter may still look solid. 165 00:08:40,240 --> 00:08:43,040 Speaker 5: Very good point. And just to recap the numbers, a 166 00:08:43,080 --> 00:08:46,120 Speaker 5: sixteen point nine percent increase in October sales, which was 167 00:08:46,160 --> 00:08:48,800 Speaker 5: on track with analyst estimates, but that is the slowest 168 00:08:48,840 --> 00:08:52,600 Speaker 5: pace in about eighteen months. Well, I keep reading how 169 00:08:52,640 --> 00:08:56,960 Speaker 5: TSMC is constrained by limited capacity, so if it wanted to, 170 00:08:57,120 --> 00:09:00,560 Speaker 5: it would want to actually have higher sales. It's just 171 00:09:00,960 --> 00:09:02,400 Speaker 5: physically limited. 172 00:09:02,240 --> 00:09:05,720 Speaker 6: Well limited capacity again on the AI side. Okay, so 173 00:09:06,040 --> 00:09:09,240 Speaker 6: you know TSMC does one hundred and twenty billion dollars 174 00:09:09,400 --> 00:09:12,160 Speaker 6: run rate business in a year, so out of that 175 00:09:12,360 --> 00:09:15,840 Speaker 6: AI is still fifteen percent, you know. And so from 176 00:09:15,840 --> 00:09:20,720 Speaker 6: that perspective, not everything that TSMC manufacturers is at the 177 00:09:20,760 --> 00:09:23,120 Speaker 6: cutting edge. And then you can slice it by leading 178 00:09:23,240 --> 00:09:26,640 Speaker 6: versus you know, some of the trailing notes. So from 179 00:09:26,679 --> 00:09:30,640 Speaker 6: that perspective, the utilization is far higher in terms of 180 00:09:30,679 --> 00:09:33,400 Speaker 6: the leading notes versus some of the other notes that 181 00:09:33,440 --> 00:09:36,520 Speaker 6: they manufacture on. And it could happen that, you know, 182 00:09:37,120 --> 00:09:40,240 Speaker 6: because of the lower utilization they're not seeing as much 183 00:09:41,040 --> 00:09:45,040 Speaker 6: customer orders flow in. And look, I mean it's hard 184 00:09:45,040 --> 00:09:48,160 Speaker 6: to say for sure, given you know the book of 185 00:09:48,240 --> 00:09:51,440 Speaker 6: their business and how many customers they have, and for 186 00:09:51,640 --> 00:09:55,040 Speaker 6: some customers, they're still the only game in town. You know. 187 00:09:55,520 --> 00:09:59,719 Speaker 5: So TSMC makes custom chips for companies that order it 188 00:09:59,760 --> 00:10:04,040 Speaker 5: from TSMC. It's a manufacturer overall. We know that all 189 00:10:04,040 --> 00:10:06,240 Speaker 5: these big tech companies in the US are starting to 190 00:10:07,480 --> 00:10:10,360 Speaker 5: turn on their own capabilities of making their own chips. 191 00:10:10,800 --> 00:10:13,280 Speaker 5: Is that competition or is that out of necessity? I mean, 192 00:10:13,280 --> 00:10:15,640 Speaker 5: does that take away market share from TSMC down the road. 193 00:10:15,880 --> 00:10:19,360 Speaker 6: I mean, look, if Intel is successful in terms of 194 00:10:19,400 --> 00:10:23,040 Speaker 6: reviving itself on the manufacturing side, and that's what everyone 195 00:10:23,400 --> 00:10:26,400 Speaker 6: is hoping, you know, with the initiative with the government 196 00:10:26,400 --> 00:10:29,920 Speaker 6: taking a ten percent stake Intel, that the fab side 197 00:10:30,000 --> 00:10:33,760 Speaker 6: really gets a lift in terms of other companies using 198 00:10:33,800 --> 00:10:37,079 Speaker 6: Intel fabs to manufacture chips. That's when you got to 199 00:10:37,120 --> 00:10:40,679 Speaker 6: be worried about TSMC. But for now, there is nothing 200 00:10:40,760 --> 00:10:43,680 Speaker 6: on the horizon where you think and Open Ai or 201 00:10:43,760 --> 00:10:45,680 Speaker 6: any of these chip companies is going to go to 202 00:10:45,760 --> 00:10:47,880 Speaker 6: Intel for manufacturing their chips. 203 00:10:48,000 --> 00:10:52,760 Speaker 2: And TSMC marketcap one point five trillion, stock up fifty 204 00:10:52,840 --> 00:10:54,200 Speaker 2: five zero percent this year. 205 00:10:54,480 --> 00:10:56,280 Speaker 3: Maybe I should pay a little more attention to this one. 206 00:10:56,320 --> 00:10:56,800 Speaker 3: What do you think? 207 00:10:57,360 --> 00:11:01,600 Speaker 2: In a related story in Nvidia, more Bloomberg News reporting 208 00:11:01,640 --> 00:11:05,480 Speaker 2: these people are everywhere in Nvidia, chief executive officer Jensen 209 00:11:05,520 --> 00:11:08,680 Speaker 2: Wang said he had asked Taiwan Semiconductor Manufacturing for more 210 00:11:08,800 --> 00:11:12,400 Speaker 2: chips supplies as artificial intelligence demand remained strong. 211 00:11:12,840 --> 00:11:15,680 Speaker 3: So there you go. I mean, I mean, that's hey, 212 00:11:15,800 --> 00:11:18,720 Speaker 3: is this thing slowing down? Well, not the Gensen Wong. 213 00:11:18,800 --> 00:11:22,199 Speaker 6: The Blackwell ramp up is actually accelerating. And if all 214 00:11:22,240 --> 00:11:25,360 Speaker 6: the hyperscalers are telling you they're raising their capex for 215 00:11:25,440 --> 00:11:27,960 Speaker 6: twenty twenty six and it's going to be another fifty 216 00:11:28,000 --> 00:11:32,079 Speaker 6: percent plus year. They need more TSMC capacity, and Nvidia 217 00:11:32,160 --> 00:11:36,680 Speaker 6: needs more TSMC allocation because TSMC can allocate to anyone 218 00:11:36,760 --> 00:11:39,680 Speaker 6: outside of Nvidia as well. So from that perspective, you 219 00:11:39,720 --> 00:11:43,800 Speaker 6: can see how much Nvidia cares about TSMC capacity. 220 00:11:44,040 --> 00:11:45,000 Speaker 4: Let me ask a dumb question. 221 00:11:45,120 --> 00:11:47,079 Speaker 5: I used to cover Taiwan equities when I worked in 222 00:11:47,160 --> 00:11:49,440 Speaker 5: Hong Kong, and there are two big companies in Taiwan, 223 00:11:49,520 --> 00:11:53,480 Speaker 5: TSMC and UMC United Microelectronics, and it feels like TSMC 224 00:11:53,640 --> 00:11:55,800 Speaker 5: just ran away with it and UMC is kind of 225 00:11:55,800 --> 00:11:59,400 Speaker 5: a shadow of its former self. Is there anyone any 226 00:11:59,440 --> 00:12:03,160 Speaker 5: company with in Taiwan that can really compete or even 227 00:12:03,800 --> 00:12:05,240 Speaker 5: hope to compete against TSMC? 228 00:12:05,920 --> 00:12:09,000 Speaker 6: Not right now, and especially when it comes to leading notes. 229 00:12:09,080 --> 00:12:12,880 Speaker 6: I think that's where our TSMC talking about two nanometer. 230 00:12:13,240 --> 00:12:15,640 Speaker 6: I mean, we have seen why Intel has struggled in 231 00:12:15,679 --> 00:12:17,960 Speaker 6: the last five years because they are not able to 232 00:12:18,000 --> 00:12:20,760 Speaker 6: make the note transitions even though they are a leading 233 00:12:20,800 --> 00:12:24,360 Speaker 6: note manufacturer. So from that perspective, I mean TSMC, it 234 00:12:24,400 --> 00:12:27,640 Speaker 6: feels like they have an unassailable mode, and not just 235 00:12:27,679 --> 00:12:30,480 Speaker 6: in terms of manufacturing, but also their efficiency when it 236 00:12:30,520 --> 00:12:34,559 Speaker 6: comes to using these semicap equipment tools, like they are 237 00:12:34,679 --> 00:12:37,800 Speaker 6: probably the best in terms of the leverage they have 238 00:12:37,880 --> 00:12:41,000 Speaker 6: shown in terms of the useful life of these tools 239 00:12:41,040 --> 00:12:44,360 Speaker 6: that other manufacturing companies haven't been able to show. 240 00:12:45,000 --> 00:12:47,160 Speaker 2: All Right, got about a minute and a half left. 241 00:12:47,200 --> 00:12:49,080 Speaker 2: Instead of me asking a dumb question, why don't I 242 00:12:49,120 --> 00:12:49,920 Speaker 2: just say, Hey. 243 00:12:49,880 --> 00:12:51,560 Speaker 3: What are you and your keem working on? What's the 244 00:12:51,559 --> 00:12:53,760 Speaker 3: next cool thing we need to be we're reading about 245 00:12:53,800 --> 00:12:54,319 Speaker 3: from you guys. 246 00:12:54,440 --> 00:12:56,840 Speaker 6: I mean, we are in the process of updating our 247 00:12:56,920 --> 00:13:00,920 Speaker 6: GENII numbers and they are going up for twenty twenty six. 248 00:13:00,960 --> 00:13:04,120 Speaker 6: And also there's a heavy emphasis on data centers. So 249 00:13:04,240 --> 00:13:07,120 Speaker 6: our next big report our dashboard is going to be 250 00:13:07,320 --> 00:13:12,000 Speaker 6: on data center utilization, data center capacity editions. Everyone is 251 00:13:12,040 --> 00:13:14,920 Speaker 6: talking in terms of gigawatts, so opening I said, they'll 252 00:13:14,920 --> 00:13:18,240 Speaker 6: be adding thirty gigawatts over the next five years. Well, 253 00:13:18,240 --> 00:13:22,319 Speaker 6: we want to track overall gigawats from all these vendors, Microsoft, 254 00:13:22,520 --> 00:13:23,400 Speaker 6: all the Hyperscaler. 255 00:13:23,480 --> 00:13:24,800 Speaker 3: Do we have a utilities analyst? 256 00:13:25,120 --> 00:13:25,520 Speaker 4: We do? 257 00:13:25,640 --> 00:13:26,400 Speaker 2: Who is that? 258 00:13:26,679 --> 00:13:30,000 Speaker 6: Well, I mean it's covered by multiple people. Craw Barnett 259 00:13:30,080 --> 00:13:30,680 Speaker 6: and because. 260 00:13:30,880 --> 00:13:34,360 Speaker 3: Guys, those guys become front center. I mean, do we 261 00:13:34,400 --> 00:13:36,880 Speaker 3: have the grid to power all this stuff? 262 00:13:37,080 --> 00:13:40,480 Speaker 6: I mean everyone has called that power. In fact, right now, 263 00:13:40,920 --> 00:13:44,440 Speaker 6: the consensus is your power is the biggest constraint, even 264 00:13:44,480 --> 00:13:46,760 Speaker 6: more so than the GPUs, which was the case for 265 00:13:46,800 --> 00:13:47,640 Speaker 6: the past three years. 266 00:13:47,640 --> 00:13:49,400 Speaker 5: So it's always going to be something. 267 00:13:49,400 --> 00:13:52,760 Speaker 2: Yeah, all right, And how many analysts aren't covering like 268 00:13:52,840 --> 00:13:56,199 Speaker 2: technology browding defined for BI We're close to twenty people, 269 00:13:56,520 --> 00:13:59,120 Speaker 2: twenty people globally, right, They're not just stuck in New 270 00:13:59,160 --> 00:14:00,000 Speaker 2: York everywhere? 271 00:14:00,160 --> 00:14:03,360 Speaker 4: Right there? You need that stay with us. 272 00:14:03,520 --> 00:14:05,920 Speaker 3: More from Bloomberg Intelligence coming up after this. 273 00:14:09,800 --> 00:14:13,480 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 274 00:14:13,559 --> 00:14:16,679 Speaker 1: weekdays at ten am easterne on Apple, Cocklay and Android 275 00:14:16,679 --> 00:14:20,000 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 276 00:14:20,040 --> 00:14:23,160 Speaker 1: you get your podcasts, or watch us live on YouTube. 277 00:14:23,800 --> 00:14:26,400 Speaker 5: Let's head over now to company news, because we do 278 00:14:26,480 --> 00:14:30,520 Speaker 5: still have companies reporting earnings, and Tyson is the latest 279 00:14:31,160 --> 00:14:34,000 Speaker 5: to do so. Tyson of course reporting results today and 280 00:14:34,080 --> 00:14:37,160 Speaker 5: it looks like we had a fourth quarter adjusted earnings 281 00:14:37,160 --> 00:14:40,960 Speaker 5: for share Beat. And Jennifer Bartashis is joining us now. 282 00:14:41,080 --> 00:14:45,520 Speaker 5: Jen Covers Senior she's the senior retail staples and packaged 283 00:14:45,560 --> 00:14:49,240 Speaker 5: food analysts for us here at Bloomberg Intelligence, and Jen, 284 00:14:49,920 --> 00:14:51,920 Speaker 5: you know, we think about Tyson, I think about chicken 285 00:14:52,000 --> 00:14:55,320 Speaker 5: right away, and hired demand for chicken certainly was a 286 00:14:55,440 --> 00:14:59,360 Speaker 5: factor that helped fourth quarter results. But beef is going 287 00:14:59,400 --> 00:15:00,800 Speaker 5: to be a problem on the road, isn't it. 288 00:15:01,680 --> 00:15:05,040 Speaker 7: Well, it's an interesting thing because obviously Tyson has been 289 00:15:05,040 --> 00:15:07,680 Speaker 7: doing very well with the chicken business. They've invested in 290 00:15:07,720 --> 00:15:10,600 Speaker 7: the last couple of years and improving their operations and 291 00:15:10,640 --> 00:15:12,880 Speaker 7: we've seen that come through with a better margin, better 292 00:15:12,960 --> 00:15:17,320 Speaker 7: operating usage, and that sort of thing. But when we 293 00:15:17,360 --> 00:15:20,000 Speaker 7: look at the guidance for next year, over half of 294 00:15:20,040 --> 00:15:22,960 Speaker 7: their adjusted operating income is expected to come from chicken. 295 00:15:23,400 --> 00:15:26,840 Speaker 7: And for a diversified protein company, that's putting a lot 296 00:15:26,840 --> 00:15:28,800 Speaker 7: of eggs in one basket, so to speak. And so 297 00:15:29,840 --> 00:15:33,480 Speaker 7: you know it, it's doing well. There's there's a lot 298 00:15:33,480 --> 00:15:37,240 Speaker 7: of momentum behind chicken in general, but Tyson is going 299 00:15:37,320 --> 00:15:39,520 Speaker 7: to be very dependent on the continued success of that 300 00:15:39,520 --> 00:15:41,840 Speaker 7: segment to hit its guidance for next year. 301 00:15:42,480 --> 00:15:45,720 Speaker 2: Talk to us about the cattle herd in this country, 302 00:15:45,720 --> 00:15:48,720 Speaker 2: how does that work here? I mean, prices are so high, 303 00:15:48,760 --> 00:15:51,160 Speaker 2: and I thought, for like a lot of commodities, when 304 00:15:51,160 --> 00:15:53,920 Speaker 2: you see a price, you know, move materially higher, it 305 00:15:54,000 --> 00:15:55,960 Speaker 2: brings on more supply. But I guess it's a little 306 00:15:55,960 --> 00:15:58,520 Speaker 2: different in the cattle business. What's your understanding. 307 00:15:59,200 --> 00:16:01,360 Speaker 7: Yeah, it's a little bit harder in the cattle business. 308 00:16:01,640 --> 00:16:03,880 Speaker 7: You know, you have to remember that raising cattle is 309 00:16:03,880 --> 00:16:07,520 Speaker 7: a it's a capital intensive activity, and so there have 310 00:16:07,560 --> 00:16:09,680 Speaker 7: been a lot of things that have held ranchers back 311 00:16:09,960 --> 00:16:12,840 Speaker 7: from increasing the size of their herds. We've had high 312 00:16:12,920 --> 00:16:15,880 Speaker 7: interest rates because a lot of them have to borrow 313 00:16:16,120 --> 00:16:19,280 Speaker 7: in order to rebuild herds. We've had drought conditions, especially 314 00:16:19,280 --> 00:16:22,120 Speaker 7: in the West and in the South, which make it 315 00:16:22,160 --> 00:16:25,240 Speaker 7: difficult to commit to raising more animals if your land 316 00:16:25,280 --> 00:16:28,040 Speaker 7: can't sustain them. And so those are some of the 317 00:16:28,160 --> 00:16:30,920 Speaker 7: kind of structural impediments that have really held us back 318 00:16:30,960 --> 00:16:34,200 Speaker 7: from what we would typically at this point have expected 319 00:16:34,240 --> 00:16:37,720 Speaker 7: to see some rebuilding of those herds already. You know, 320 00:16:37,880 --> 00:16:40,360 Speaker 7: Tyson says they see a couple of indicators in the 321 00:16:40,400 --> 00:16:43,960 Speaker 7: Northwest and sorry in the Upper Midwest that there's some 322 00:16:43,960 --> 00:16:48,800 Speaker 7: some heifer retention coming that means that cows are not 323 00:16:48,880 --> 00:16:51,920 Speaker 7: being sent to slaughter, but it's not enough to really 324 00:16:51,960 --> 00:16:54,680 Speaker 7: move the needle. So from our estimate, we're not looking 325 00:16:54,720 --> 00:16:57,600 Speaker 7: at a meaningful change in supply until twenty twenty eight, 326 00:16:58,440 --> 00:17:02,000 Speaker 7: So you know, expect high beef pace beef prices to continue. 327 00:17:02,160 --> 00:17:04,600 Speaker 5: Yeah, okay, so not great news if you're a hamburger lover. 328 00:17:04,640 --> 00:17:07,120 Speaker 5: And it's because these consumer beef prices that are at 329 00:17:07,160 --> 00:17:10,119 Speaker 5: record highs is what prompted President Trump to ask the 330 00:17:10,160 --> 00:17:13,760 Speaker 5: DOJ to investigate the meat packing industry. He is blaming 331 00:17:14,040 --> 00:17:18,280 Speaker 5: majority foreign owned companies for driving up these beef prices. Jen, 332 00:17:18,320 --> 00:17:19,119 Speaker 5: how do you think about this? 333 00:17:19,960 --> 00:17:22,600 Speaker 7: Well, you know, when we look at this, I mean, 334 00:17:23,880 --> 00:17:26,520 Speaker 7: this seems like it's more of a political maneuver than 335 00:17:26,720 --> 00:17:29,960 Speaker 7: actually based on anything from a market perspective. At this 336 00:17:30,119 --> 00:17:32,720 Speaker 7: point we will see what the dj comes up with 337 00:17:32,800 --> 00:17:35,560 Speaker 7: and what they actually share, but this seems to be 338 00:17:35,600 --> 00:17:40,240 Speaker 7: looking for a rationalization for high beef prices versus actually 339 00:17:40,320 --> 00:17:43,159 Speaker 7: understanding what the market fundamentals are. And the other thing 340 00:17:43,200 --> 00:17:45,800 Speaker 7: you have to remember is that we import a huge 341 00:17:45,880 --> 00:17:49,600 Speaker 7: amount of beef, especially for ground beef, from Brazil, and 342 00:17:49,640 --> 00:17:53,200 Speaker 7: we have tariffs on that. So part of the part 343 00:17:53,200 --> 00:17:56,720 Speaker 7: of the government's own policy is contributing to the higher 344 00:17:56,760 --> 00:18:00,600 Speaker 7: beef prices, but that's not part of this investing at all. 345 00:18:01,320 --> 00:18:05,120 Speaker 2: All right, So what's next for Tyson is this, I mean, 346 00:18:05,280 --> 00:18:08,159 Speaker 2: are these kind of companies are they how much did 347 00:18:08,200 --> 00:18:10,040 Speaker 2: they have in their control because they don't have control 348 00:18:10,080 --> 00:18:13,680 Speaker 2: of herd sizes and bird flus and things like that, 349 00:18:13,760 --> 00:18:17,040 Speaker 2: whether the weather exactly is how do investors kind of 350 00:18:17,040 --> 00:18:19,240 Speaker 2: invest in a company like Tyson's. 351 00:18:20,000 --> 00:18:21,919 Speaker 7: Yeah, you really have to look at you know, how 352 00:18:22,200 --> 00:18:25,200 Speaker 7: how are they controlling what they can control? And so 353 00:18:25,440 --> 00:18:29,280 Speaker 7: that that comes down to their operations. Are they generating 354 00:18:29,280 --> 00:18:31,840 Speaker 7: the efficiency they need to out of their plants? You know, 355 00:18:31,960 --> 00:18:34,720 Speaker 7: are they operating at capacity? Do they still have excess 356 00:18:34,760 --> 00:18:38,520 Speaker 7: capacity to fill? It really comes down to operational execution 357 00:18:38,680 --> 00:18:40,600 Speaker 7: in this kind of backdrop when there are a lot 358 00:18:40,600 --> 00:18:45,439 Speaker 7: of unknown variables that can impact supply. But ultimately, you know, 359 00:18:45,640 --> 00:18:48,199 Speaker 7: supply at least for chicken does look pretty good. It 360 00:18:48,200 --> 00:18:52,000 Speaker 7: looks pretty solid. So if all things go well, you know, 361 00:18:52,119 --> 00:18:53,760 Speaker 7: Tyson should be in a position to be able to 362 00:18:53,800 --> 00:18:54,560 Speaker 7: hit that guidance. 363 00:18:54,840 --> 00:18:57,679 Speaker 5: Before we let you go, Jen, what does pricing for 364 00:18:57,720 --> 00:18:59,720 Speaker 5: turkeys look like as we get closer to things. 365 00:18:59,640 --> 00:19:04,320 Speaker 7: Getting Yeah, you know, turkey has been hit harder by 366 00:19:04,440 --> 00:19:10,000 Speaker 7: avian flu than chicken. And so if you're talking about 367 00:19:10,000 --> 00:19:12,520 Speaker 7: a frozen turkey, you're gonna be fine. Those turkeys have 368 00:19:12,600 --> 00:19:15,440 Speaker 7: been in frozen storage for quite a while. They'll be 369 00:19:15,480 --> 00:19:18,120 Speaker 7: ready to go. If you're more interested in the fresh bird, 370 00:19:18,160 --> 00:19:19,919 Speaker 7: your price is probably going to be a little bit 371 00:19:19,960 --> 00:19:21,600 Speaker 7: higher this year than it was last year. 372 00:19:23,040 --> 00:19:27,719 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 373 00:19:27,920 --> 00:19:31,400 Speaker 1: and anywhere else you get your podcasts. Listen live each 374 00:19:31,400 --> 00:19:35,200 Speaker 1: weekday ten am to noon Eastern on Bloomberg dot com, 375 00:19:35,280 --> 00:19:38,800 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business app. 376 00:19:39,240 --> 00:19:42,160 Speaker 1: You can also watch us live every weekday on YouTube 377 00:19:42,560 --> 00:19:44,800 Speaker 1: and always on the Bloomberg terminal