1 00:00:02,720 --> 00:00:10,559 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,600 --> 00:00:14,560 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:14,600 --> 00:00:17,840 Speaker 1: Eastern on Apple, Cocklay and Android Auto with the Bloomberg 4 00:00:17,920 --> 00:00:21,040 Speaker 1: Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,360 --> 00:00:23,080 Speaker 1: or watch us live on YouTube. 6 00:00:24,040 --> 00:00:26,360 Speaker 2: Let's talk about what's going on in the healthcare space 7 00:00:26,400 --> 00:00:28,600 Speaker 2: and pharmaceuticals in particular. 8 00:00:28,680 --> 00:00:30,800 Speaker 3: A big deal here by Eli Lilly. 9 00:00:30,840 --> 00:00:32,920 Speaker 2: It's made a lot of acquisitions, Paul, I feel like 10 00:00:32,960 --> 00:00:36,360 Speaker 2: we're always talking about Eli Lilly making another purchase. Sam 11 00:00:36,400 --> 00:00:41,200 Speaker 2: Fazzelli is our Bloomberg Intelligence director of research covering healthcare, defense, industrials, 12 00:00:41,200 --> 00:00:43,199 Speaker 2: and autos. He is our drug boss, That's what we 13 00:00:43,280 --> 00:00:45,160 Speaker 2: like to call him, and he actually has a jacket. 14 00:00:44,880 --> 00:00:45,440 Speaker 3: That says that. 15 00:00:45,920 --> 00:00:48,960 Speaker 2: And Sam joins us right now from London. Sam, I 16 00:00:48,960 --> 00:00:51,080 Speaker 2: don't know if you're sharing for England, but if so, 17 00:00:51,479 --> 00:00:55,640 Speaker 2: our condolences to you. I wanted to start with this 18 00:00:55,760 --> 00:00:59,120 Speaker 2: Eli Lilly purchase, buying a tied Beckley for up to 19 00:00:59,160 --> 00:01:03,560 Speaker 2: three point eight billion dollars. That valuation strikes me as interesting. 20 00:01:03,760 --> 00:01:05,720 Speaker 2: Why for up to three point eight billion dollars are 21 00:01:05,720 --> 00:01:07,199 Speaker 2: there incentives along the way here? 22 00:01:08,240 --> 00:01:10,480 Speaker 4: Absolutely? Right? So I mean you look at the numbers. 23 00:01:10,480 --> 00:01:12,680 Speaker 5: We've got two point eight billion dollars up front cash 24 00:01:12,680 --> 00:01:16,000 Speaker 5: and a billion dollars in contingent value rights. So that's 25 00:01:16,040 --> 00:01:21,640 Speaker 5: CVRs tied to the lead assets, which are in two forms, 26 00:01:21,680 --> 00:01:24,680 Speaker 5: one in internasal the ones in under the tongue buckle 27 00:01:25,520 --> 00:01:30,760 Speaker 5: getting through phase three and also getting EA approval. Because 28 00:01:30,760 --> 00:01:35,280 Speaker 5: these are psychedelics, the drugs that are quite fashionable these 29 00:01:35,319 --> 00:01:38,360 Speaker 5: days in terms of development because of the profound effects 30 00:01:38,400 --> 00:01:43,839 Speaker 5: that we're seeing on treatment really resistant depression, on major 31 00:01:43,880 --> 00:01:48,280 Speaker 5: depressive disorder, generalized anxiety disorder, that sort of thing. So 32 00:01:48,760 --> 00:01:52,920 Speaker 5: there's a resurgers of interest in these psychedelics which are synthetic. 33 00:01:54,080 --> 00:01:56,840 Speaker 5: So that's where these extra billion dollars and condision value 34 00:01:56,880 --> 00:01:59,279 Speaker 5: rights come from, which is why the stocks trading above 35 00:01:59,360 --> 00:02:02,000 Speaker 5: the six dollars seventy five cash offer. 36 00:02:02,680 --> 00:02:05,920 Speaker 6: So the psychedelics talk to us about kind of the 37 00:02:06,040 --> 00:02:10,000 Speaker 6: that just that part of the therapeutic space there, Sam, 38 00:02:10,520 --> 00:02:13,000 Speaker 6: is it a big part of it? 39 00:02:13,000 --> 00:02:13,760 Speaker 4: It is? It is. 40 00:02:13,840 --> 00:02:15,760 Speaker 5: There are quite a few companies there, wrote a few 41 00:02:15,800 --> 00:02:23,240 Speaker 5: names do gh Research, Mindmann, Compass, just naming a few Alto, Cybin. 42 00:02:23,720 --> 00:02:25,680 Speaker 4: Realmada, etc. Who are in this. 43 00:02:25,720 --> 00:02:30,680 Speaker 5: Space, which is a significant issue for society in terms 44 00:02:30,680 --> 00:02:31,600 Speaker 5: of depression. 45 00:02:32,840 --> 00:02:36,119 Speaker 4: But also it's the fact that there's psychedelics I think takes. 46 00:02:35,919 --> 00:02:38,640 Speaker 5: Away or adds a little bit of I wonder what 47 00:02:38,680 --> 00:02:40,480 Speaker 5: they're like, you know, magic mushroom, that sort of stuff. 48 00:02:40,480 --> 00:02:41,200 Speaker 4: It's conjured up. 49 00:02:41,320 --> 00:02:46,200 Speaker 5: In fact, this particular drug originates from a specific desert toad, 50 00:02:47,200 --> 00:02:50,440 Speaker 5: which is one of the major sources of it. But 51 00:02:50,560 --> 00:02:53,440 Speaker 5: this is synthetic. The fact is they work on something 52 00:02:53,520 --> 00:02:56,680 Speaker 5: specific in the brain, and it's been shown that they 53 00:02:56,680 --> 00:03:00,320 Speaker 5: can help you to a degree rewire. Your brain is 54 00:03:00,320 --> 00:03:04,200 Speaker 5: a very plastic organ in terms of how it's learning, right, 55 00:03:04,240 --> 00:03:07,480 Speaker 5: there's plasticity. We learn new stuff all the time. So 56 00:03:07,840 --> 00:03:11,959 Speaker 5: unfortunately in the depressive state or a PTSD state, that's 57 00:03:11,960 --> 00:03:15,600 Speaker 5: a learned behavior to a degree. To put it very simply, 58 00:03:15,919 --> 00:03:17,680 Speaker 5: So that's where I think there's a lot of interest 59 00:03:17,720 --> 00:03:20,200 Speaker 5: to try and treat patients and help patients here. 60 00:03:20,960 --> 00:03:21,240 Speaker 7: Sam. 61 00:03:21,280 --> 00:03:24,280 Speaker 2: I also want to turn to MRK getting FDA approval 62 00:03:24,360 --> 00:03:26,799 Speaker 2: for a new cholesterol pill. It's going to cost thirty 63 00:03:26,800 --> 00:03:29,600 Speaker 2: eight hundred dollars a year, which sounds pretty expensive if 64 00:03:29,600 --> 00:03:32,680 Speaker 2: it's not covered by insurance. How is this different? This 65 00:03:32,800 --> 00:03:36,800 Speaker 2: new medication lipvehendra different from the world's most popular cholesterol 66 00:03:36,840 --> 00:03:38,360 Speaker 2: lawing drug, which is libtor. 67 00:03:39,680 --> 00:03:43,040 Speaker 4: Yeah. So these are drugs that work via a different mechanism. 68 00:03:43,560 --> 00:03:47,760 Speaker 5: It's an inhibitor of something in the in the within 69 00:03:47,800 --> 00:03:50,480 Speaker 5: the system called PCSK and nine that are involved in 70 00:03:50,520 --> 00:03:57,320 Speaker 5: the in the metabolism uptake production of cholesterol. And there 71 00:03:57,320 --> 00:04:00,680 Speaker 5: are other drugs that are under market that do that 72 00:04:00,920 --> 00:04:03,200 Speaker 5: work the same way, which would. 73 00:04:02,880 --> 00:04:11,840 Speaker 8: Be injectables or ones that interfere with RNA, et cetera. 74 00:04:11,960 --> 00:04:14,320 Speaker 8: You know, in terms of trying to here's the first 75 00:04:14,440 --> 00:04:17,600 Speaker 8: oral druck that we've got, and that's where I actually 76 00:04:17,600 --> 00:04:20,039 Speaker 8: don't think three hundred three thousand, eight hundred dollars. 77 00:04:19,760 --> 00:04:21,800 Speaker 4: Is a lot. You know, we're living in a world where. 78 00:04:21,800 --> 00:04:24,200 Speaker 5: Rocks come to market at ten twenty thirty fifty thousand 79 00:04:24,240 --> 00:04:27,640 Speaker 5: dollars here and here you're having a very profound effect 80 00:04:27,640 --> 00:04:28,200 Speaker 5: on LDL. 81 00:04:29,640 --> 00:04:32,760 Speaker 6: Hey, switching gears a little bit. Abbot reported some good 82 00:04:32,880 --> 00:04:35,640 Speaker 6: number stocks up the most in I don't know a 83 00:04:35,760 --> 00:04:37,960 Speaker 6: million years here. What's going on on, Abbot? 84 00:04:39,279 --> 00:04:41,520 Speaker 5: Yeah, I mean, look, so, Paul, that's not a space 85 00:04:41,560 --> 00:04:43,719 Speaker 5: that I'm particularly familiar with. But I'll tell you something. 86 00:04:44,000 --> 00:04:46,640 Speaker 5: What was interesting is yesterday we had Jonathan and Johnson report, 87 00:04:46,880 --> 00:04:50,080 Speaker 5: and you know, they have a medical devices business that 88 00:04:50,120 --> 00:04:53,120 Speaker 5: they're still ongoing with and that didn't do so well. 89 00:04:53,160 --> 00:04:54,720 Speaker 5: That was a bit of a dragon if you remember 90 00:04:54,760 --> 00:04:57,960 Speaker 5: where the share price was behaving yesterday. Abbots, of course 91 00:04:58,279 --> 00:05:01,919 Speaker 5: in more of a diagno a stake and a different 92 00:05:02,360 --> 00:05:06,440 Speaker 5: area of focus. So it's quite nice to see that working. 93 00:05:06,640 --> 00:05:08,719 Speaker 5: And there's a lot of interest in diagnostics and the 94 00:05:08,960 --> 00:05:12,200 Speaker 5: quality diagnostics, especially when they're married with therapeutics. 95 00:05:13,240 --> 00:05:16,200 Speaker 3: Stay with us more from Bloomberg Intelligence coming up after this. 96 00:05:20,360 --> 00:05:24,040 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 97 00:05:24,160 --> 00:05:27,200 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 98 00:05:27,240 --> 00:05:30,560 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 99 00:05:30,600 --> 00:05:34,119 Speaker 1: you get your podcasts, or watch us live on YouTube. 100 00:05:35,040 --> 00:05:39,680 Speaker 6: Abbott Laboratories stock is soaring today, the most since two 101 00:05:39,720 --> 00:05:43,160 Speaker 6: thousand and two. I guess the street liked their earnings 102 00:05:43,200 --> 00:05:45,880 Speaker 6: for the second quarter and probably more importantly, their guidance 103 00:05:45,920 --> 00:05:49,560 Speaker 6: going forward. Let's check in with the analyst that covers ABT, 104 00:05:49,839 --> 00:05:52,960 Speaker 6: Matt Hendrickson, Senior equity analyst from Bloomberg Intelligence. Matt talk 105 00:05:53,000 --> 00:05:56,000 Speaker 6: to us about it. Abbot Laboratories and what they disclose 106 00:05:56,000 --> 00:05:57,000 Speaker 6: here when their earnings released. 107 00:05:57,080 --> 00:05:59,960 Speaker 9: Yeah, this earnings was a huge cyber relief for investors. 108 00:06:01,279 --> 00:06:04,960 Speaker 9: They went into the call some headwinds were or some 109 00:06:05,200 --> 00:06:09,840 Speaker 9: headnt wind risks were in the nutrition segment and that 110 00:06:09,920 --> 00:06:12,320 Speaker 9: was going to be diluted to the overall growth. There 111 00:06:12,360 --> 00:06:15,600 Speaker 9: was also questions about the CGM market, which is their 112 00:06:15,640 --> 00:06:18,320 Speaker 9: core growth driver, continuous glucose monitors. 113 00:06:18,320 --> 00:06:20,440 Speaker 6: Oh, that's the I see on people's arms. 114 00:06:20,480 --> 00:06:22,640 Speaker 9: Yeah, exactly. So it's at a little like the size 115 00:06:22,640 --> 00:06:25,880 Speaker 9: of a quarter on the army. That's a ten billion 116 00:06:25,920 --> 00:06:29,040 Speaker 9: dollar revenue run rate for the company. There were some 117 00:06:29,520 --> 00:06:32,640 Speaker 9: concerns that it was decelerating growth from kind of the 118 00:06:32,680 --> 00:06:36,320 Speaker 9: mid teens high teens from last year to below high 119 00:06:36,360 --> 00:06:40,919 Speaker 9: single digits this year. Basically, their results kind of calmed 120 00:06:40,960 --> 00:06:45,320 Speaker 9: all those nerves. Nutrition is recovering nicely after they implemented 121 00:06:45,360 --> 00:06:52,000 Speaker 9: new pricing mechanics into their their business model. The CGM business, uh, 122 00:06:52,360 --> 00:06:55,200 Speaker 9: you know, growing at nine point five percent, kind of 123 00:06:55,200 --> 00:07:00,960 Speaker 9: slightly below the double digit expectations that management had, but overall, 124 00:07:01,040 --> 00:07:03,719 Speaker 9: you know, it wasn't worse than what was expected, so 125 00:07:03,760 --> 00:07:05,400 Speaker 9: we eliminated that worst case scenario. 126 00:07:05,600 --> 00:07:07,600 Speaker 3: Okay, why was there so much concern. 127 00:07:07,680 --> 00:07:11,200 Speaker 2: I think about healthcare, and I think about United Health 128 00:07:11,200 --> 00:07:13,720 Speaker 2: in particular and some of the issues it's had with 129 00:07:13,920 --> 00:07:18,920 Speaker 2: Medicare reimbursement and government changes to reimbursement plans overall. Is 130 00:07:18,920 --> 00:07:22,040 Speaker 2: that a concern for a company like Abbot. 131 00:07:21,520 --> 00:07:26,679 Speaker 7: It's always going to be an overhang, and we saw 132 00:07:26,720 --> 00:07:30,880 Speaker 7: that earlier this week when h HCA reported and they 133 00:07:31,080 --> 00:07:36,680 Speaker 7: highlighted some headwinds from ACA related insurance patients. 134 00:07:37,560 --> 00:07:39,800 Speaker 9: We have not seen that yet in the medtech side 135 00:07:39,960 --> 00:07:41,160 Speaker 9: so far. In the second quarter. 136 00:07:41,280 --> 00:07:41,640 Speaker 10: J and J. 137 00:07:43,120 --> 00:07:46,680 Speaker 9: Talked about stable procedure volumes. Abbot talked about the same 138 00:07:47,280 --> 00:07:50,440 Speaker 9: procedure volume stability. One of the reasons I think is 139 00:07:50,440 --> 00:07:53,679 Speaker 9: that your Abbot and j J they're focusing on those 140 00:07:53,840 --> 00:07:58,320 Speaker 9: more high acuity cases more. You know, these patients need 141 00:07:58,360 --> 00:08:01,360 Speaker 9: to be treated regardless of what their insurance coverage is, 142 00:08:01,440 --> 00:08:05,160 Speaker 9: and so the hospitals almost have an obligation to treat 143 00:08:05,200 --> 00:08:08,840 Speaker 9: those patients, where some of those low acuity cases will 144 00:08:08,880 --> 00:08:10,560 Speaker 9: be deferred the longer term. 145 00:08:11,200 --> 00:08:14,000 Speaker 6: I'm looking at the PGO function on the Bloomberg terminals 146 00:08:14,040 --> 00:08:16,880 Speaker 6: shows me kind of where they get their revenue. There's 147 00:08:16,920 --> 00:08:18,520 Speaker 6: a lot of places where they get their revenue it's 148 00:08:18,560 --> 00:08:22,560 Speaker 6: highly diversified. It is highly diversified medical device company. What 149 00:08:22,680 --> 00:08:24,800 Speaker 6: is the street focus on is are there two or 150 00:08:24,840 --> 00:08:28,120 Speaker 6: three business lines that Yeah, because even with the stock 151 00:08:28,200 --> 00:08:31,320 Speaker 6: up today eleven percent is still down twenty percent year 152 00:08:31,400 --> 00:08:34,360 Speaker 6: to date. So what's kind of the investment call on 153 00:08:34,400 --> 00:08:34,760 Speaker 6: this name. 154 00:08:35,120 --> 00:08:37,160 Speaker 9: Yeah, So the first one goes back to that to 155 00:08:37,200 --> 00:08:39,720 Speaker 9: the cgms. That being that you know, kind of ten 156 00:08:39,760 --> 00:08:43,560 Speaker 9: billion revenue run rate. If you're looking at it being 157 00:08:43,679 --> 00:08:46,720 Speaker 9: back to that double digit revenue growth, that's going to 158 00:08:46,720 --> 00:08:51,680 Speaker 9: be a promising growth driver for them. That nutrition recovery, 159 00:08:52,200 --> 00:08:54,960 Speaker 9: because that is still almost twenty five percent of their sales. 160 00:08:55,000 --> 00:08:57,679 Speaker 9: If they can get that back to growth, that's going 161 00:08:57,760 --> 00:09:00,640 Speaker 9: to be a good contributor for them. And the newest 162 00:09:00,679 --> 00:09:03,720 Speaker 9: growth driver actually is the Exact Science acquisition that they made. 163 00:09:03,760 --> 00:09:06,440 Speaker 9: So when you think about you see those TV commercials 164 00:09:06,480 --> 00:09:10,200 Speaker 9: for Coli Guard, that's Exact Sciences. So now Abbott has 165 00:09:10,320 --> 00:09:14,760 Speaker 9: entered that cancer diagnostic segment and that's a business that's 166 00:09:15,280 --> 00:09:17,880 Speaker 9: they were expecting it to be mid teens growth this 167 00:09:17,960 --> 00:09:22,079 Speaker 9: year for that cancer diagnostic segment, and so if they 168 00:09:22,080 --> 00:09:24,600 Speaker 9: are able to deliver that throughout the full year, they've 169 00:09:24,640 --> 00:09:27,319 Speaker 9: grown at thirteen percent so far in the first half. 170 00:09:28,240 --> 00:09:29,920 Speaker 9: That will be a creative to kind of their six 171 00:09:29,960 --> 00:09:32,120 Speaker 9: and a half to seven and a half growth guidance. 172 00:09:33,000 --> 00:09:35,839 Speaker 2: Is there any talk about M and A when it 173 00:09:35,880 --> 00:09:39,360 Speaker 2: comes to Abbot, whether it's maybe going to divest some 174 00:09:39,800 --> 00:09:42,800 Speaker 2: businesses so that can get a higher share price, or 175 00:09:43,200 --> 00:09:46,240 Speaker 2: you know, maybe even add on because it has. 176 00:09:46,080 --> 00:09:47,760 Speaker 3: Done a pretty good job with diversification. 177 00:09:47,920 --> 00:09:49,680 Speaker 9: Yeah, let's let's I'll serve with the add ons first. 178 00:09:49,679 --> 00:09:53,600 Speaker 9: So that Exact Science deal closed early early in the 179 00:09:53,600 --> 00:09:55,880 Speaker 9: first quarter, and so that was a twenty three billion 180 00:09:55,920 --> 00:09:59,720 Speaker 9: dollar deal that they have to digest that deal. They 181 00:09:59,760 --> 00:10:02,720 Speaker 9: have they degraded, They raised twenty billion in debt, so 182 00:10:02,760 --> 00:10:04,360 Speaker 9: they have they had the free cash lit just pay 183 00:10:04,400 --> 00:10:07,800 Speaker 9: down that debt. That's the first step. Divestitures, I mean, 184 00:10:07,800 --> 00:10:11,439 Speaker 9: there's always because they're so diverse, there are some you know, 185 00:10:11,600 --> 00:10:14,720 Speaker 9: probably differentiated features like nutrition that could be able to 186 00:10:15,040 --> 00:10:16,440 Speaker 9: potentially divest in the future. 187 00:10:17,720 --> 00:10:20,640 Speaker 2: Stay with us more from Bloomberg Intelligence coming up after this. 188 00:10:24,280 --> 00:10:27,959 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 189 00:10:28,040 --> 00:10:31,120 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 190 00:10:31,160 --> 00:10:34,440 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 191 00:10:34,520 --> 00:10:37,600 Speaker 1: you get your podcasts or watch us live on YouTube. 192 00:10:38,440 --> 00:10:39,760 Speaker 6: Right now, let's check out the man Deep saying he 193 00:10:39,800 --> 00:10:43,120 Speaker 6: joins us year in our Bloomberg Interactive Broker's studio. He 194 00:10:43,200 --> 00:10:45,640 Speaker 6: covers all the technology stuff there for us. I want 195 00:10:45,679 --> 00:10:48,800 Speaker 6: to start with TSMC, the chip maker. What did they 196 00:10:48,840 --> 00:10:50,120 Speaker 6: what did we learn with their earnings? 197 00:10:50,559 --> 00:10:54,840 Speaker 10: And Deep, I mean again very solid print raised their 198 00:10:54,840 --> 00:10:58,960 Speaker 10: guidance for about five percentage points for the folly year, 199 00:10:59,120 --> 00:11:04,400 Speaker 10: so and top line growth if you had to find faults. 200 00:11:04,520 --> 00:11:08,400 Speaker 10: The only thing that they didn't show, which you saw 201 00:11:08,440 --> 00:11:12,080 Speaker 10: with the memory names is pricing. So pricing growth for 202 00:11:12,240 --> 00:11:15,240 Speaker 10: memory was off the charts. We were talking about, you know, 203 00:11:15,640 --> 00:11:19,480 Speaker 10: forty percent quarter over quarter pricing growth. That doesn't seem 204 00:11:19,520 --> 00:11:23,040 Speaker 10: to be the case with TSMC, partly because of how 205 00:11:23,080 --> 00:11:27,520 Speaker 10: they run their business. And I feel all these companies 206 00:11:27,559 --> 00:11:32,640 Speaker 10: are still reluctant to expand their supply, even though TSMC 207 00:11:32,800 --> 00:11:36,040 Speaker 10: raised their capex but twelve percent for the full year, 208 00:11:36,640 --> 00:11:40,319 Speaker 10: but given the supply demand mismatch, to my mind, they're 209 00:11:40,440 --> 00:11:42,840 Speaker 10: leaving a lot of revenue at the table because they 210 00:11:42,840 --> 00:11:44,000 Speaker 10: don't want to expand supply. 211 00:11:44,280 --> 00:11:45,280 Speaker 3: Why do you think that is? 212 00:11:45,280 --> 00:11:47,160 Speaker 2: Is it just they've been burned in the past when 213 00:11:47,200 --> 00:11:48,440 Speaker 2: the cycle turned against them. 214 00:11:48,600 --> 00:11:52,880 Speaker 10: It's the management teams are very conservative. They don't want 215 00:11:52,920 --> 00:11:55,680 Speaker 10: to take a chance where they double their supply in 216 00:11:55,720 --> 00:11:59,240 Speaker 10: a year and guess what, something happens on glut and 217 00:11:59,400 --> 00:12:02,320 Speaker 10: they don't want to be in that situation. But to 218 00:12:02,400 --> 00:12:05,640 Speaker 10: my mind, the reason why Intel has a shot now 219 00:12:06,200 --> 00:12:10,040 Speaker 10: is because TSMC is conservative and expanding supply. 220 00:12:11,640 --> 00:12:14,600 Speaker 2: Just clarify for us CSMC makes chips for in video, 221 00:12:14,800 --> 00:12:18,000 Speaker 2: so we're talking the super high end AI chips. 222 00:12:18,160 --> 00:12:19,360 Speaker 3: Does it make memory chips? 223 00:12:20,000 --> 00:12:24,000 Speaker 10: No, So all the memory guys have their own fabs 224 00:12:24,080 --> 00:12:27,480 Speaker 10: and they make their own chips. So TSMC does have 225 00:12:27,559 --> 00:12:30,240 Speaker 10: a very broad set of clients it served, so not 226 00:12:30,400 --> 00:12:34,800 Speaker 10: just in Vidia, but also your AMDs, squall cooms, Apple, 227 00:12:34,960 --> 00:12:37,640 Speaker 10: Apple used to be their biggest customers, so they've pivoted 228 00:12:37,760 --> 00:12:41,840 Speaker 10: from smartphone chips to more data center chips. But at 229 00:12:41,880 --> 00:12:45,480 Speaker 10: the end of the day, they have the best process notes, 230 00:12:45,600 --> 00:12:49,079 Speaker 10: the best manufacturing capabilities. If they wanted to do the 231 00:12:49,360 --> 00:12:52,600 Speaker 10: memory chips, they could do potentially, but they've just been 232 00:12:52,720 --> 00:12:55,840 Speaker 10: conservative when it comes to expanding their supply. And we 233 00:12:55,920 --> 00:12:59,680 Speaker 10: know the concentration in Taiwan. They've talked about adding new 234 00:12:59,720 --> 00:13:02,920 Speaker 10: factor is here in the US. But when you are 235 00:13:03,000 --> 00:13:07,679 Speaker 10: a company with's literally a monopoly and the balance sheet 236 00:13:07,760 --> 00:13:11,080 Speaker 10: to expand at the pace you want, why would you 237 00:13:11,200 --> 00:13:13,920 Speaker 10: not be aggressive here? And I just don't get it, 238 00:13:13,920 --> 00:13:14,360 Speaker 10: all right. 239 00:13:14,320 --> 00:13:17,439 Speaker 6: So the very little I know about the semiconductor business 240 00:13:17,480 --> 00:13:19,760 Speaker 6: I learned from honest Shreene Boston. He told me everything. 241 00:13:20,400 --> 00:13:22,000 Speaker 6: But the first thing you taught me is it's a 242 00:13:22,000 --> 00:13:22,840 Speaker 6: cyclical business. 243 00:13:22,880 --> 00:13:23,080 Speaker 4: Dude. 244 00:13:23,120 --> 00:13:25,640 Speaker 6: If you get it wrong, you're gonna get crushed. So 245 00:13:25,679 --> 00:13:27,960 Speaker 6: the question I've been asking you guys, is is it 246 00:13:28,559 --> 00:13:31,440 Speaker 6: less cyclical and maybe materially less cyclical now with this 247 00:13:31,480 --> 00:13:36,400 Speaker 6: whole AI transformation, and what I think the management team 248 00:13:36,400 --> 00:13:38,800 Speaker 6: of TSMC is saying, we're not convinced to that. 249 00:13:39,160 --> 00:13:43,240 Speaker 10: Yeah, no one is convinced, But you get you know, 250 00:13:43,360 --> 00:13:48,040 Speaker 10: technology shifts like this in maybe two or three decades, 251 00:13:48,200 --> 00:13:51,600 Speaker 10: and this is a very big technology shift, and it's 252 00:13:51,720 --> 00:13:54,320 Speaker 10: evidenced by the fact that you have a big supply 253 00:13:54,440 --> 00:13:59,120 Speaker 10: demand mismatch that continues to carry through. And the biggest 254 00:13:59,200 --> 00:14:02,800 Speaker 10: chip maker who's exposed to the trend, Nvidia, is telling 255 00:14:02,800 --> 00:14:05,680 Speaker 10: you they have visibility to a trillion dollars in revenue. 256 00:14:05,720 --> 00:14:08,480 Speaker 10: So why would you not believe in Nvidia? If you're 257 00:14:08,520 --> 00:14:11,240 Speaker 10: a big supplier to Nvidia, is TSMC. 258 00:14:10,880 --> 00:14:13,240 Speaker 2: Is, or you're in a really good position and you 259 00:14:13,280 --> 00:14:16,920 Speaker 2: want to stay in a really good position barring Intel 260 00:14:16,960 --> 00:14:20,160 Speaker 2: coming in into taking some of that business. You mentioned 261 00:14:20,200 --> 00:14:24,360 Speaker 2: that TSMC has been looking to build production capabilities in 262 00:14:24,400 --> 00:14:24,800 Speaker 2: the US. 263 00:14:24,800 --> 00:14:26,200 Speaker 3: We know, I believe, I think it's. 264 00:14:26,080 --> 00:14:29,560 Speaker 2: Arizona where they've done that. How's that going? How's that 265 00:14:29,600 --> 00:14:32,480 Speaker 2: effort going? Because for a while there was an issue 266 00:14:32,480 --> 00:14:33,760 Speaker 2: with talent shortage right. 267 00:14:34,280 --> 00:14:38,720 Speaker 10: There is and look, they've been actually adding to their 268 00:14:38,800 --> 00:14:43,440 Speaker 10: capex for expansion here. So a lot of these fabs 269 00:14:43,560 --> 00:14:46,960 Speaker 10: take up to two years just for that initial factory 270 00:14:47,000 --> 00:14:50,080 Speaker 10: to start producing chips, and they may not be at 271 00:14:50,080 --> 00:14:53,640 Speaker 10: the leading notes like your three nanometers, so it would 272 00:14:53,680 --> 00:14:56,440 Speaker 10: be more like five six nanometer chips before they can 273 00:14:56,480 --> 00:14:59,840 Speaker 10: get to three nanometers. Partly because of the talent shortage, 274 00:15:00,080 --> 00:15:03,920 Speaker 10: they need those kind of people who can do things 275 00:15:04,000 --> 00:15:07,000 Speaker 10: at the leading note. But all of this combines with 276 00:15:07,080 --> 00:15:10,880 Speaker 10: the fact that the lead times are very long to 277 00:15:11,000 --> 00:15:11,600 Speaker 10: set these up. 278 00:15:11,680 --> 00:15:13,680 Speaker 2: The reason I asked about the talent issue is because 279 00:15:14,040 --> 00:15:16,800 Speaker 2: we're not making it easy for companies to bring in 280 00:15:17,680 --> 00:15:22,480 Speaker 2: engineers and folks with the capabilities from overseas. If that 281 00:15:22,560 --> 00:15:24,080 Speaker 2: talent is not available in the US. 282 00:15:24,280 --> 00:15:27,640 Speaker 10: Absolutely, And look, I think even when it comes to 283 00:15:27,720 --> 00:15:32,000 Speaker 10: getting permits, getting the resources, water and you know, all 284 00:15:32,080 --> 00:15:35,120 Speaker 10: the kind of supplies you need to set up a 285 00:15:35,440 --> 00:15:38,720 Speaker 10: leading semiconductor fab, it takes a lot more time here 286 00:15:38,800 --> 00:15:41,520 Speaker 10: than if it probably takes anywhere. 287 00:15:41,200 --> 00:15:44,560 Speaker 6: Else thirty seconds. Uber bought delivery Hero for close to 288 00:15:44,600 --> 00:15:47,960 Speaker 6: fifteen billion. What is delivery Hero wants to do for Uber? 289 00:15:48,520 --> 00:15:52,880 Speaker 10: I mean the playbook with all marketplaces is consolidation. Uber 290 00:15:53,200 --> 00:15:56,200 Speaker 10: Ceo did that back in the day with Expedia. He's 291 00:15:56,240 --> 00:15:59,880 Speaker 10: doing the same. And the big thread for a company 292 00:16:00,040 --> 00:16:03,720 Speaker 10: Koober is autonomous rides. So this for them is a 293 00:16:03,760 --> 00:16:07,040 Speaker 10: way to diversify that I kind of expand to now 294 00:16:07,040 --> 00:16:09,960 Speaker 10: one hundred countries. Autonomous is not going to be there 295 00:16:09,960 --> 00:16:12,520 Speaker 10: in one hundred countries, So from that perspective, there's a 296 00:16:12,600 --> 00:16:13,280 Speaker 10: question here. 297 00:16:14,200 --> 00:16:18,880 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 298 00:16:19,080 --> 00:16:22,560 Speaker 1: and anywhere else you get your podcasts. 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