1 00:00:04,760 --> 00:00:08,080 Speaker 1: Welcome to the Bloomberg P and L Podcast. I'm Pim Fox. 2 00:00:08,119 --> 00:00:11,200 Speaker 1: Along with my co host Lisa Abramowitz. Each day we 3 00:00:11,280 --> 00:00:14,480 Speaker 1: bring you the most important, noteworthy, and useful interviews for 4 00:00:14,520 --> 00:00:16,880 Speaker 1: you and your money, whether at the grocery store or 5 00:00:16,920 --> 00:00:20,680 Speaker 1: the trading floor. Find the Bloomberg P L Podcast on iTunes, 6 00:00:20,840 --> 00:00:30,400 Speaker 1: SoundCloud and at Bloomberg dot com. Investing in the retail 7 00:00:30,480 --> 00:00:34,040 Speaker 1: market tricky, well, ask Scott rothbort. He is the president 8 00:00:34,040 --> 00:00:37,360 Speaker 1: of Lakeview Asset Management. He joins us now and Scott, 9 00:00:37,440 --> 00:00:39,959 Speaker 1: you've been a veteran coming on the program to give 10 00:00:40,000 --> 00:00:42,879 Speaker 1: us your thoughts about the retail industry, the restaurant industry 11 00:00:42,880 --> 00:00:44,800 Speaker 1: and so on. But well, I noticed that a lot 12 00:00:44,800 --> 00:00:47,680 Speaker 1: of it has to do obviously with the consumer. And 13 00:00:48,240 --> 00:00:50,040 Speaker 1: let's start off. Where do you think right now the 14 00:00:50,040 --> 00:00:53,920 Speaker 1: consumers spending money and not spending money visa these these 15 00:00:53,960 --> 00:00:56,720 Speaker 1: areas of the market. Well, I think the consumers spending 16 00:00:56,760 --> 00:01:01,360 Speaker 1: money on a lot of household items. I think finally, 17 00:01:01,400 --> 00:01:06,039 Speaker 1: consumers are after many years, are buying houses, fixing up houses. Look, 18 00:01:06,080 --> 00:01:08,560 Speaker 1: you know they took a terrible hit in two thousand 19 00:01:08,600 --> 00:01:11,280 Speaker 1: and two. A lot of people were displaced from their houses. 20 00:01:12,000 --> 00:01:14,480 Speaker 1: But the market is coming back and people starting to 21 00:01:14,880 --> 00:01:21,399 Speaker 1: buy durable goods, washing machines. Um. There they have been 22 00:01:21,400 --> 00:01:23,840 Speaker 1: buying cars for all. I think that's that's beginning to 23 00:01:23,920 --> 00:01:27,720 Speaker 1: kind of you know. Uh. And in terms of the 24 00:01:27,800 --> 00:01:31,400 Speaker 1: surgeon in the purchase of of those items, the one 25 00:01:31,560 --> 00:01:34,279 Speaker 1: the one area that that they continued to stay away 26 00:01:34,319 --> 00:01:40,759 Speaker 1: from his apparel and and that is really been boggling 27 00:01:40,880 --> 00:01:44,280 Speaker 1: a lot of investors and analysts because the apparel market 28 00:01:44,319 --> 00:01:50,120 Speaker 1: continues to be UM, very difficult to invest in. UM. 29 00:01:50,160 --> 00:01:52,560 Speaker 1: And of course what what invest what? What? What the 30 00:01:52,600 --> 00:01:57,720 Speaker 1: consumers continues to invest in? Are these electronic gadgets, um, 31 00:01:57,800 --> 00:02:03,640 Speaker 1: whether it's games, or it's smartphones or tablets. Uh. But 32 00:02:03,800 --> 00:02:06,200 Speaker 1: wearables is a big market that is only going to 33 00:02:06,320 --> 00:02:11,840 Speaker 1: expand in time. So UM, you invest money on behalf 34 00:02:11,880 --> 00:02:15,480 Speaker 1: of wealthy individuals. You also are a professor at Seton 35 00:02:15,520 --> 00:02:20,480 Speaker 1: Hall University, UM, looking at this environment. How do you 36 00:02:20,520 --> 00:02:24,120 Speaker 1: determine where the opportunities are when there's such a macro 37 00:02:25,320 --> 00:02:29,000 Speaker 1: overlay on this, not only from the consumer spending standpoint, 38 00:02:29,000 --> 00:02:32,800 Speaker 1: but also from technological advancements. And how how quickly some 39 00:02:32,880 --> 00:02:35,320 Speaker 1: of these even retailers have to catch up. Right, Well, 40 00:02:35,720 --> 00:02:38,200 Speaker 1: there's a lot of disruptive events that are taking place 41 00:02:38,240 --> 00:02:41,560 Speaker 1: in the retail markets. Okay, probably the one that people 42 00:02:41,560 --> 00:02:45,560 Speaker 1: are most familiar with is online. Amazon is probably the 43 00:02:45,560 --> 00:02:51,320 Speaker 1: most DISRUPTI development versus Walmart dot Com, Yes, versus everyone 44 00:02:52,880 --> 00:02:56,760 Speaker 1: today Warren Buffett, you know, exiting more of his Walmart 45 00:02:56,840 --> 00:03:02,840 Speaker 1: steak and it makes sense. Um, look I by Walmart. Uh, 46 00:03:03,040 --> 00:03:05,400 Speaker 1: you know, I I look at Walmart for the dividend. 47 00:03:05,520 --> 00:03:07,240 Speaker 1: I might buy it if it came down a little 48 00:03:07,240 --> 00:03:10,840 Speaker 1: bit for our dividend strategy, because it meets some of 49 00:03:10,880 --> 00:03:12,799 Speaker 1: the criteria for our different strategy in terms of growth. 50 00:03:12,919 --> 00:03:15,760 Speaker 1: Is no growth in Walmart. Um. So, so we have 51 00:03:15,800 --> 00:03:18,320 Speaker 1: Amazon is one of the disrupt dividend just a fair 52 00:03:18,600 --> 00:03:21,360 Speaker 1: two point percent prices seventy bucks a share, right, yes, 53 00:03:21,400 --> 00:03:24,359 Speaker 1: and and and and I'd rather see that dividend close 54 00:03:24,440 --> 00:03:26,480 Speaker 1: to three percent, but a two point percent it's beating 55 00:03:26,480 --> 00:03:29,359 Speaker 1: the SNP average divent which is just around two percent, 56 00:03:29,400 --> 00:03:31,880 Speaker 1: maybe even slightly less than that right now. Although you 57 00:03:32,000 --> 00:03:34,800 Speaker 1: have treasure yields rising, So if you just want the dividend, 58 00:03:34,840 --> 00:03:36,800 Speaker 1: you can just invest in a tenure treasury and get 59 00:03:36,800 --> 00:03:39,280 Speaker 1: three percent. You could, but then you won't get the 60 00:03:39,320 --> 00:03:42,320 Speaker 1: benefit of economic growth. Um. And if you invest in 61 00:03:42,560 --> 00:03:44,680 Speaker 1: the tenure treasure, you'll be locked into that for the 62 00:03:44,720 --> 00:03:47,360 Speaker 1: next ten years. And if you need to take your 63 00:03:47,360 --> 00:03:49,680 Speaker 1: money out of that treasury's interest rates rise, you're gonna 64 00:03:49,680 --> 00:03:52,040 Speaker 1: wind up as a lot of people are learning that 65 00:03:52,080 --> 00:03:54,760 Speaker 1: the price of bonds can go down. All right, So 66 00:03:54,840 --> 00:03:57,280 Speaker 1: let's go some names. All right, let's go through some names. Right, 67 00:03:57,320 --> 00:03:59,160 Speaker 1: So Walmart you like for the dividend? Who else? Let's 68 00:03:59,200 --> 00:04:03,960 Speaker 1: go to I was thinking Sonic years of the three 69 00:04:04,040 --> 00:04:09,040 Speaker 1: years I think of that. That's that's okay. So yeah, 70 00:04:09,680 --> 00:04:13,200 Speaker 1: um look, you know we we we run a restaurant portfolio. Um, 71 00:04:13,360 --> 00:04:15,520 Speaker 1: the name that always comes up is Chipalti. What's going 72 00:04:15,560 --> 00:04:18,400 Speaker 1: on with what happened? But you know Chipalte has lost 73 00:04:18,440 --> 00:04:21,720 Speaker 1: its way. Um I put Chipaldi in in in in 74 00:04:21,080 --> 00:04:24,520 Speaker 1: the penalty box. After they had all these problems in 75 00:04:24,600 --> 00:04:27,720 Speaker 1: terms of uh, you know, the diseases that people were 76 00:04:27,720 --> 00:04:30,359 Speaker 1: getting but eating there, but and and and the CEO 77 00:04:30,480 --> 00:04:33,279 Speaker 1: came out yesterday and said, look, we're just not providing 78 00:04:33,680 --> 00:04:37,320 Speaker 1: the type of service that is consummate with what people 79 00:04:37,320 --> 00:04:40,000 Speaker 1: are expecting from us. But this is the company that's 80 00:04:40,040 --> 00:04:42,080 Speaker 1: lost its way. Now I'm gonna be very cynical with him. 81 00:04:42,120 --> 00:04:48,359 Speaker 1: About to say stocks down's going lower? Right? Um? I 82 00:04:48,360 --> 00:04:51,799 Speaker 1: mean you know they're they're they're starting to develop these 83 00:04:51,920 --> 00:04:56,560 Speaker 1: smaller concepts like shop House, which is an Asian fusion concept, 84 00:04:57,080 --> 00:05:00,280 Speaker 1: a pizzeria concept. Uh. And now they're gonna going to 85 00:05:00,360 --> 00:05:04,960 Speaker 1: the burger market. Um. And I'm telling to myself, why, um, 86 00:05:05,040 --> 00:05:06,839 Speaker 1: why are they doing all this? Why are you going 87 00:05:06,880 --> 00:05:08,800 Speaker 1: into the pizza and burger market, two of the most 88 00:05:09,200 --> 00:05:12,720 Speaker 1: saturated markets out there. You know, what what edge does 89 00:05:12,800 --> 00:05:14,720 Speaker 1: chappolt they have? And in the meantime, I look at 90 00:05:14,920 --> 00:05:18,800 Speaker 1: the Chapulti restaurants itself, and the menu hasn't changed in years. 91 00:05:19,080 --> 00:05:21,880 Speaker 1: You know, Pim and I we've talked about McDonald's at nauseam. 92 00:05:21,920 --> 00:05:25,240 Speaker 1: I think, and what helped McDonald's from two thousand and 93 00:05:25,320 --> 00:05:27,800 Speaker 1: three to two thousand and thirteen was that they changed 94 00:05:27,839 --> 00:05:30,720 Speaker 1: the menu. They didn't mind taking with what they did 95 00:05:30,760 --> 00:05:33,760 Speaker 1: the McCafe and then they're even now trying to retransition 96 00:05:33,839 --> 00:05:37,640 Speaker 1: the roll it out. It's independent like. But but I 97 00:05:37,680 --> 00:05:40,560 Speaker 1: think Chapolty, um, they need to take a second look. 98 00:05:40,920 --> 00:05:44,640 Speaker 1: And I know that that they talked about food with integrity, 99 00:05:44,680 --> 00:05:48,240 Speaker 1: But the problem with Chapulti is that, um that's coming 100 00:05:48,800 --> 00:05:51,680 Speaker 1: around to haunt them right now. Um, one of the 101 00:05:51,680 --> 00:05:54,760 Speaker 1: fastest growing menu items if you go to restaurants UM 102 00:05:54,920 --> 00:05:57,560 Speaker 1: is fish tacos, so I said a long time ago 103 00:05:57,640 --> 00:05:59,640 Speaker 1: on on this program. As a matter of fact, you 104 00:05:59,640 --> 00:06:04,120 Speaker 1: know what all for a fish. So for Chipotle, the 105 00:06:04,120 --> 00:06:09,400 Speaker 1: fish tackle will be the egg McMuffin for McDonald. Scott Rothbert, 106 00:06:09,400 --> 00:06:11,520 Speaker 1: thank you so much for being with us. Scott Rothbert, 107 00:06:11,560 --> 00:06:26,080 Speaker 1: President and founder of Lakeview Asset Management, uh PIM FOX. 108 00:06:26,240 --> 00:06:29,040 Speaker 1: We have been talking a lot today about the drop 109 00:06:29,120 --> 00:06:33,000 Speaker 1: in biotech shares, the end of the uh fervor in 110 00:06:33,000 --> 00:06:36,520 Speaker 1: the wake of Donald Trump's election as the next US president. 111 00:06:37,000 --> 00:06:40,279 Speaker 1: Somebody who has been predicting this for weeks now is 112 00:06:40,320 --> 00:06:43,120 Speaker 1: Max Neeson of Bloomberg Gadfly, and we are lucky enough 113 00:06:43,160 --> 00:06:45,279 Speaker 1: to have him in studio with us to talk a 114 00:06:45,279 --> 00:06:48,520 Speaker 1: little bit about whether this is just the beginning of 115 00:06:48,560 --> 00:06:51,000 Speaker 1: a sell off or or whether you know what we 116 00:06:51,040 --> 00:06:53,000 Speaker 1: can glean from today. So Max, thanks so much for 117 00:06:53,080 --> 00:06:55,200 Speaker 1: joining us. So can you just set the set the 118 00:06:55,200 --> 00:06:59,240 Speaker 1: backdrop here? It was a tweet by Trump. Yeah, of course, 119 00:06:59,400 --> 00:07:01,200 Speaker 1: thanks so much for having me. So what happened is. 120 00:07:01,400 --> 00:07:04,760 Speaker 1: In an interview with Time, Trump was quoted as saying 121 00:07:04,920 --> 00:07:07,599 Speaker 1: I'm going to bring down drug prices. I don't like 122 00:07:07,720 --> 00:07:10,680 Speaker 1: what's happened with drug prices. So I think this is 123 00:07:10,720 --> 00:07:13,840 Speaker 1: really a bit of a return to reality for the sector, 124 00:07:14,200 --> 00:07:16,200 Speaker 1: which had something of a rally in the aftermath of 125 00:07:16,200 --> 00:07:20,280 Speaker 1: Trump selection. There's kind of this blanket assumption that Trump 126 00:07:20,360 --> 00:07:24,080 Speaker 1: is better than Clinton. Um more Leanian drug pricing policy, 127 00:07:24,440 --> 00:07:28,480 Speaker 1: fewer nasty tweets about price hikes. They kind of expected. 128 00:07:28,560 --> 00:07:31,840 Speaker 1: Trump to government is a kind of adoption of Republican Well, 129 00:07:31,920 --> 00:07:34,640 Speaker 1: lo and behold, he's a populist. People hate high drug 130 00:07:34,680 --> 00:07:38,760 Speaker 1: prices and they hate drug price hikes, so it's not 131 00:07:38,840 --> 00:07:41,480 Speaker 1: all that surprising to me that he would kind of 132 00:07:41,520 --> 00:07:44,240 Speaker 1: pick up on this as an issue to kind of 133 00:07:44,640 --> 00:07:48,600 Speaker 1: make a run at Fiser down two and a half percent, 134 00:07:48,800 --> 00:07:51,640 Speaker 1: ab Vied down three and a half percent, Bristol Myers 135 00:07:51,680 --> 00:07:55,640 Speaker 1: squib down two and a half percent, Eli Lily down 136 00:07:55,680 --> 00:07:58,200 Speaker 1: one and a half. I could keep going Mark down 137 00:07:58,280 --> 00:08:03,920 Speaker 1: to Johnson and Johnson down. Is this a buying opportunity? Um, 138 00:08:04,000 --> 00:08:07,080 Speaker 1: you know, I'm not sure that it is, because even 139 00:08:07,120 --> 00:08:10,280 Speaker 1: those big names that you mentioned, well, they haven't done 140 00:08:10,280 --> 00:08:12,680 Speaker 1: the sort of extreme price hiking that you saw from 141 00:08:13,040 --> 00:08:16,240 Speaker 1: kind of more notorious form firms like Valiant, they do 142 00:08:16,520 --> 00:08:20,240 Speaker 1: to some extent rely on your kind of annual bi 143 00:08:20,320 --> 00:08:23,400 Speaker 1: annual ten or more percent price hikes on some of 144 00:08:23,440 --> 00:08:26,000 Speaker 1: their older drugs as they try to kind of fill 145 00:08:26,000 --> 00:08:29,960 Speaker 1: in the gaps in their research pipelines. So there's kind 146 00:08:29,960 --> 00:08:33,760 Speaker 1: of a fundamental drug pressure drug pricing pressure even beyond 147 00:08:33,880 --> 00:08:37,440 Speaker 1: what you're seeing from you know, rhetorically or potentially on 148 00:08:37,480 --> 00:08:40,679 Speaker 1: the policy side, as a pharmacy benefit managers get more 149 00:08:40,720 --> 00:08:45,760 Speaker 1: aggressive about leavering competition and negotiating price prices down on drugs, 150 00:08:45,800 --> 00:08:48,360 Speaker 1: so that there's really fundamental pressure, it's not just noise. 151 00:08:48,440 --> 00:08:51,800 Speaker 1: I think President elect Trump is one thing, and it's 152 00:08:51,840 --> 00:08:54,599 Speaker 1: unclear how much exactly he'll have his hands in the 153 00:08:54,679 --> 00:08:59,600 Speaker 1: day to day policies that govern drug pricing. But we 154 00:08:59,640 --> 00:09:04,040 Speaker 1: do know that Dr Tom Price, Georgia Republican representative is 155 00:09:04,240 --> 00:09:06,240 Speaker 1: going to be the head of the Department of Health 156 00:09:06,280 --> 00:09:10,040 Speaker 1: and Human Services. Barring something unexpected, do we have a 157 00:09:10,080 --> 00:09:13,280 Speaker 1: sense of what his policy is with respect to drug pricing. 158 00:09:14,000 --> 00:09:15,800 Speaker 1: So I think it would be a bit more of 159 00:09:15,840 --> 00:09:19,040 Speaker 1: a surprise if he was particularly aggressive on the policy front. 160 00:09:19,200 --> 00:09:22,079 Speaker 1: And that's really the big question right now. If Trump's 161 00:09:22,120 --> 00:09:26,400 Speaker 1: comments today actually feed through into his administration's policy or 162 00:09:26,440 --> 00:09:29,720 Speaker 1: into how he directs price and UM, you know, it's 163 00:09:29,760 --> 00:09:33,000 Speaker 1: a little bit hard to imagine that the Senate lawmakers 164 00:09:33,040 --> 00:09:35,520 Speaker 1: and Price or something going to reverse course and really 165 00:09:35,559 --> 00:09:40,160 Speaker 1: aggressively start to legislate on drug prices, or for Trump 166 00:09:40,160 --> 00:09:44,320 Speaker 1: to join hands with Senate Democrats to do something about it. 167 00:09:44,360 --> 00:09:47,160 Speaker 1: But I think something that we've really learned over the 168 00:09:47,200 --> 00:09:49,679 Speaker 1: course of this campaign in the past years that it 169 00:09:49,800 --> 00:09:55,560 Speaker 1: doesn't necessarily take concrete policy action to drive down the 170 00:09:55,600 --> 00:09:58,080 Speaker 1: prices of these shares. All it takes is a tweet. 171 00:09:58,080 --> 00:10:00,760 Speaker 1: Also takes is this kind of common and I think 172 00:10:00,760 --> 00:10:02,920 Speaker 1: if we see more of this over the next few years, 173 00:10:03,200 --> 00:10:05,760 Speaker 1: this sense of uncertainty, the sense that you might pop 174 00:10:05,760 --> 00:10:08,440 Speaker 1: off at any point, I don't think it will necessarily 175 00:10:08,520 --> 00:10:11,800 Speaker 1: matter quite so much that that price has not been 176 00:10:11,840 --> 00:10:14,640 Speaker 1: an outspoken critic of drug prices. Um. Is there a 177 00:10:14,640 --> 00:10:19,440 Speaker 1: particular company, biopharmaceutical company that will suffer the most from 178 00:10:19,600 --> 00:10:23,720 Speaker 1: potential restrictions of of drug price heights? Um. I think 179 00:10:24,360 --> 00:10:28,640 Speaker 1: it's pretty broadly based because everyone's exposed. You've got these 180 00:10:28,640 --> 00:10:32,840 Speaker 1: big companies like Fiser that high prices on their older drugs, 181 00:10:32,920 --> 00:10:35,360 Speaker 1: and you've got new companies that are hoping to set 182 00:10:35,640 --> 00:10:39,200 Speaker 1: their prices really high when they actually hit the market. Um. 183 00:10:39,320 --> 00:10:41,760 Speaker 1: And then you've got companies with drugs on the market 184 00:10:41,760 --> 00:10:45,319 Speaker 1: that are seeing the uptake of their drugs restricted basically, 185 00:10:45,720 --> 00:10:49,160 Speaker 1: and the really unfortunate tradeoff when it comes to lowering 186 00:10:49,200 --> 00:10:51,400 Speaker 1: drug prices. If you want to lower prices, you have 187 00:10:51,440 --> 00:10:53,959 Speaker 1: to lower access for people. If everyone can get all 188 00:10:54,000 --> 00:10:57,160 Speaker 1: the drugs they want, um, and you don't put any 189 00:10:57,160 --> 00:11:00,360 Speaker 1: restrictions in place, it becomes really hard to enforce any 190 00:11:00,480 --> 00:11:02,719 Speaker 1: lower drug prices. So I think it's really going to 191 00:11:02,760 --> 00:11:05,280 Speaker 1: be a broad based issue. Can I take you down 192 00:11:05,360 --> 00:11:08,480 Speaker 1: to the health insurance industry for just a second and 193 00:11:08,559 --> 00:11:11,440 Speaker 1: absolute get me, get to get us all your thoughts there, 194 00:11:11,440 --> 00:11:14,439 Speaker 1: because I'm just looking for example, that Humana shares it 195 00:11:14,480 --> 00:11:17,520 Speaker 1: down about one and a quarter percent. Who benefits? Then? 196 00:11:17,559 --> 00:11:19,680 Speaker 1: I mean, is it? Is it the insurance companies? What 197 00:11:19,720 --> 00:11:24,080 Speaker 1: about them? Um? They might see some benefit from lower 198 00:11:24,120 --> 00:11:26,680 Speaker 1: prices if they get a bit more power to push 199 00:11:26,679 --> 00:11:29,439 Speaker 1: for rebates or generally start to pay less for drugs, 200 00:11:29,480 --> 00:11:32,160 Speaker 1: that's good. But in a broader sense for insurers, I 201 00:11:32,200 --> 00:11:34,240 Speaker 1: think this is just a This is a case where 202 00:11:34,240 --> 00:11:36,360 Speaker 1: it might be a buying opportunities to general sell off 203 00:11:36,360 --> 00:11:39,520 Speaker 1: in healthcare stalks. Nothing in particular that would indicate that 204 00:11:39,880 --> 00:11:43,160 Speaker 1: this has any negative read through to insures um. You know, Max, 205 00:11:43,280 --> 00:11:46,040 Speaker 1: something that you were talking about, the fact that shares 206 00:11:46,080 --> 00:11:50,439 Speaker 1: would drop so much and so uniformly on one Twitter 207 00:11:50,520 --> 00:11:54,280 Speaker 1: post is indicative in and of itself, and I think 208 00:11:54,280 --> 00:11:56,680 Speaker 1: that that's an important point. I mean, biotech was accused 209 00:11:57,160 --> 00:11:59,840 Speaker 1: back in two thousand fifteen of being in a bubble? 210 00:12:00,040 --> 00:12:04,640 Speaker 1: Have the FED actually naming the biotech industry specifically? It 211 00:12:04,679 --> 00:12:07,480 Speaker 1: has come down substantially since then, But does this sort 212 00:12:07,520 --> 00:12:11,199 Speaker 1: of underscore how difficult it is to really place a 213 00:12:11,320 --> 00:12:13,280 Speaker 1: value on some of these companies and how that's a 214 00:12:13,320 --> 00:12:17,280 Speaker 1: problem for stock investors. I mean, it couldn't possibly be 215 00:12:17,400 --> 00:12:19,320 Speaker 1: more difficult that. That's what's so much fun about the 216 00:12:19,400 --> 00:12:22,280 Speaker 1: sector that there there's such a wide variety of things. 217 00:12:22,280 --> 00:12:24,720 Speaker 1: I mean, you're you have companies they're placing you know, 218 00:12:24,800 --> 00:12:27,920 Speaker 1: they're completely binary propositions. The trial is going to read 219 00:12:27,920 --> 00:12:30,719 Speaker 1: out or won't. The drug will be commercially successful or 220 00:12:30,760 --> 00:12:33,840 Speaker 1: you won't. And you're really making your best guests because 221 00:12:34,200 --> 00:12:37,920 Speaker 1: you know, unless you're a trained scientists with particular insight 222 00:12:37,960 --> 00:12:42,000 Speaker 1: into a company's drug candidate. You know, you're you're really 223 00:12:42,080 --> 00:12:44,679 Speaker 1: kind of making a broadcast. So it's it's really risking 224 00:12:44,760 --> 00:12:47,280 Speaker 1: a bet on the sector. It's just such a kind 225 00:12:47,280 --> 00:12:49,560 Speaker 1: of a risk on move that you know, we we 226 00:12:49,600 --> 00:12:51,280 Speaker 1: think this is gonna go well, or there's gonna be 227 00:12:51,280 --> 00:12:53,600 Speaker 1: a broad policy which it's gonna help these things. So 228 00:12:53,679 --> 00:12:57,920 Speaker 1: anything negative um really has a disproportionate effect. And I 229 00:12:57,920 --> 00:12:59,920 Speaker 1: think we're seeing that today and I've seen that through 230 00:13:00,000 --> 00:13:02,920 Speaker 1: at the year. Any any hope for these investors, I mean, 231 00:13:03,080 --> 00:13:06,319 Speaker 1: just get out now. I think there is some hope 232 00:13:06,360 --> 00:13:09,440 Speaker 1: that you know, this is probably a bit of you know, 233 00:13:09,840 --> 00:13:13,679 Speaker 1: you know, so this thing we thought was, yeah, that 234 00:13:13,760 --> 00:13:15,400 Speaker 1: the GOP was gonna you know, the Trump and the 235 00:13:15,400 --> 00:13:17,880 Speaker 1: GUP we're gonna be way more friendly. Now it might not. 236 00:13:18,160 --> 00:13:20,880 Speaker 1: Everyone kind of panics, but it might um in the 237 00:13:21,200 --> 00:13:24,319 Speaker 1: Great Trunk tradition be be all words and no actions. 238 00:13:24,400 --> 00:13:27,480 Speaker 1: So that's something definitely to watch out for. And if 239 00:13:27,480 --> 00:13:30,120 Speaker 1: you're an optimist to maybe bet on well. And also 240 00:13:30,240 --> 00:13:33,960 Speaker 1: if you're a chief executive, just be aware that you're 241 00:13:34,000 --> 00:13:35,920 Speaker 1: going to be kept on your toes. I guess with 242 00:13:36,640 --> 00:13:40,000 Speaker 1: this barrage of communication via tweet. Yeah, and then as 243 00:13:40,320 --> 00:13:44,280 Speaker 1: biotech index is down more than since the peak last 244 00:13:44,400 --> 00:13:49,600 Speaker 1: year on July fifteen. Something to note, Max Neeson, thanks 245 00:13:49,679 --> 00:13:51,600 Speaker 1: very much for coming in and sharing all your knowledge 246 00:13:51,640 --> 00:13:54,599 Speaker 1: with as always some pleasure. Max Neison expert when it 247 00:13:54,679 --> 00:13:57,960 Speaker 1: comes to pharmaceuticals, healthcare and all things science from us 248 00:13:58,000 --> 00:14:13,000 Speaker 1: here at Bloomberg. Taking a look. In North Dakota, there's 249 00:14:13,040 --> 00:14:17,480 Speaker 1: been an ongoing confrontation between protesters and law enforcement over 250 00:14:17,640 --> 00:14:21,920 Speaker 1: the Dakota Access Pipeline. Sunday, the U. S. Army Corps 251 00:14:21,920 --> 00:14:25,320 Speaker 1: of Engineers, the direction of Obama and his administration. President 252 00:14:25,400 --> 00:14:29,080 Speaker 1: Obama said that it would refuse to grant the final 253 00:14:29,200 --> 00:14:32,400 Speaker 1: permit needed to complete the three point eight billion dollar project. 254 00:14:32,600 --> 00:14:35,040 Speaker 1: I want to bring in Brandon Barnes. He's senior litigation 255 00:14:35,080 --> 00:14:38,880 Speaker 1: analyst for Energy at Bloomberg Intelligence, coming to us from Washington, 256 00:14:39,040 --> 00:14:43,360 Speaker 1: d C. Brandon, isn't likely that the Dakota Access Pipelines 257 00:14:43,520 --> 00:14:48,360 Speaker 1: owners could overturn this refusal in short order. In other words, 258 00:14:48,480 --> 00:14:50,400 Speaker 1: how big is the hurdle for them to now move 259 00:14:50,480 --> 00:14:54,440 Speaker 1: forward with this project? Well, it's their pathways have changed 260 00:14:54,440 --> 00:14:56,040 Speaker 1: a little bit. Now they're kind of down to two. 261 00:14:56,360 --> 00:14:59,400 Speaker 1: So they've got one in the courtroom, which has been 262 00:14:59,480 --> 00:15:03,800 Speaker 1: ongoing since the tribes actually sued Army Corps earlier in 263 00:15:03,880 --> 00:15:07,040 Speaker 1: the year, and that continues. There's a status conference coming 264 00:15:07,160 --> 00:15:09,360 Speaker 1: up at the end of this week. They also have 265 00:15:09,440 --> 00:15:14,480 Speaker 1: the opportunity, potentially, if President elect Trump wants to reverse 266 00:15:14,560 --> 00:15:16,760 Speaker 1: the decision on the Army Corps, for him to influence 267 00:15:17,200 --> 00:15:20,200 Speaker 1: that decision and revisit that once he's in office. Now, 268 00:15:20,320 --> 00:15:23,400 Speaker 1: let's just set this scene here. This is bachan shale 269 00:15:23,600 --> 00:15:27,680 Speaker 1: oil that is going or the plan is to pipe 270 00:15:27,720 --> 00:15:33,800 Speaker 1: it underneath the Mississippi River. Correct, that's okay, And there 271 00:15:33,840 --> 00:15:38,560 Speaker 1: are already pipelines underneath the Mississippi River in the vicinity 272 00:15:38,600 --> 00:15:42,000 Speaker 1: of where they have cited this Dakota pipeline. That's right. 273 00:15:42,040 --> 00:15:44,760 Speaker 1: They'd be running parallel to an existing natural gas pipeline. 274 00:15:44,880 --> 00:15:47,200 Speaker 1: So if it would be running in parallel to an 275 00:15:47,280 --> 00:15:51,920 Speaker 1: existing natural gas pipeline, why has this become such a 276 00:15:51,960 --> 00:15:54,400 Speaker 1: big issue? As am I I was just reading, by 277 00:15:54,440 --> 00:15:57,400 Speaker 1: the way, op ed piece in the Walster Journal by 278 00:15:57,880 --> 00:16:03,200 Speaker 1: the Congressman Cramer Kevin Kramer of he's a Republican from 279 00:16:03,280 --> 00:16:07,400 Speaker 1: North Dakota. He says it doesn't even touch tribal land. 280 00:16:08,080 --> 00:16:10,240 Speaker 1: That's right. It's so there are a lot of different 281 00:16:10,360 --> 00:16:13,000 Speaker 1: conceptions flowing out there, and and a lot of them 282 00:16:13,040 --> 00:16:17,320 Speaker 1: are misconceptions. So the threat here from crude is different 283 00:16:17,360 --> 00:16:19,560 Speaker 1: than what you would have from natural gas if it 284 00:16:19,640 --> 00:16:21,720 Speaker 1: were to leak out of a pipeline, because natural gas 285 00:16:21,760 --> 00:16:26,320 Speaker 1: dissipates relatively quickly when it hits water. So, um, this 286 00:16:26,560 --> 00:16:29,560 Speaker 1: is all about water worries and those who are downstream 287 00:16:29,760 --> 00:16:33,520 Speaker 1: of this pipeline crossing, which would be the Standing Rock 288 00:16:33,600 --> 00:16:36,960 Speaker 1: tribe and others. Um, So what what is this dispute 289 00:16:37,000 --> 00:16:40,560 Speaker 1: really about? Well, it depends whether you're on the ground 290 00:16:40,600 --> 00:16:43,920 Speaker 1: with the protesters and sort of the more celebrity aspect 291 00:16:44,080 --> 00:16:46,680 Speaker 1: with the public, or if you're in the courtroom, because 292 00:16:46,680 --> 00:16:48,840 Speaker 1: I think once it boils down to the legal fight 293 00:16:49,080 --> 00:16:52,440 Speaker 1: is this is whether the tribe actually can come in 294 00:16:52,560 --> 00:16:54,720 Speaker 1: and assert some of these issues in front of a 295 00:16:54,800 --> 00:16:58,000 Speaker 1: court when it's not actually crossing their land, and to 296 00:16:58,160 --> 00:17:02,360 Speaker 1: what extent Army Corps has authority to move the pieces 297 00:17:02,400 --> 00:17:05,200 Speaker 1: around once it appears that they've already made their decisions. So, 298 00:17:05,200 --> 00:17:07,159 Speaker 1: in other words, do they have standing? Do they have 299 00:17:07,200 --> 00:17:09,879 Speaker 1: standing to even block this well? And then and do 300 00:17:10,000 --> 00:17:13,680 Speaker 1: they have the kind of claims without the crew actually 301 00:17:13,800 --> 00:17:16,359 Speaker 1: leaking to come in and ask the court to do 302 00:17:16,480 --> 00:17:19,000 Speaker 1: something right to forestall something that may or may not 303 00:17:19,160 --> 00:17:22,879 Speaker 1: happen in the future exactly. The question then to you 304 00:17:23,200 --> 00:17:27,840 Speaker 1: is do they already have other legal actions against the 305 00:17:28,080 --> 00:17:34,040 Speaker 1: pipeline operators because that are already upstream from that water supply, 306 00:17:34,240 --> 00:17:38,000 Speaker 1: Because it seems as though you've got refined product, as 307 00:17:38,040 --> 00:17:41,399 Speaker 1: you said, gas transmission lines and so on. Isn't that 308 00:17:41,480 --> 00:17:45,440 Speaker 1: all upstream of the water. Yes, certainly they've and there 309 00:17:45,480 --> 00:17:48,680 Speaker 1: have been fights over water and water withdrawals in the 310 00:17:48,800 --> 00:17:52,119 Speaker 1: past related to to these reservations, to these reservations and 311 00:17:52,240 --> 00:17:55,400 Speaker 1: these tribes. But this UM, you know, this is sort 312 00:17:55,440 --> 00:17:58,879 Speaker 1: of the first concerned effort we've seen from UM from 313 00:17:58,920 --> 00:18:00,600 Speaker 1: one of the tribes in the Middle West and in 314 00:18:00,680 --> 00:18:03,439 Speaker 1: that area where most of the opposition we've seen has 315 00:18:03,480 --> 00:18:07,040 Speaker 1: come out of the northeast. Interesting. So, just based on 316 00:18:07,320 --> 00:18:11,400 Speaker 1: the legal issues standing UM, what do legal experts give 317 00:18:11,440 --> 00:18:13,560 Speaker 1: as far as the chances that this will keep going 318 00:18:13,640 --> 00:18:16,600 Speaker 1: through and it will be a reality. Well, if we're 319 00:18:16,600 --> 00:18:20,520 Speaker 1: talking about just the courts, UM E. T p UH 320 00:18:20,720 --> 00:18:23,440 Speaker 1: and and Dakota Access the project have filed a motion 321 00:18:23,520 --> 00:18:25,520 Speaker 1: for summery in judgment, which is basically emotion and the 322 00:18:25,600 --> 00:18:30,640 Speaker 1: case on just the legal aspects of it. And they 323 00:18:30,800 --> 00:18:33,960 Speaker 1: have a pretty good argument that Army Corps has in 324 00:18:34,040 --> 00:18:37,560 Speaker 1: effect constructively already issued this easement based on everything they've 325 00:18:37,560 --> 00:18:40,720 Speaker 1: already said and the decisions they've reached on other permits 326 00:18:41,520 --> 00:18:43,920 Speaker 1: um And so I think that the odds right now 327 00:18:44,080 --> 00:18:46,520 Speaker 1: favorite et P and the and the project in the courts. 328 00:18:47,080 --> 00:18:50,400 Speaker 1: Brendan Barnes, thank you very much as senior litigation analyst 329 00:18:50,520 --> 00:19:06,080 Speaker 1: for Bloomberg Intelligence. All Right, when we want results when 330 00:19:06,119 --> 00:19:10,080 Speaker 1: it comes to technology and the confluence of money and technology, 331 00:19:10,160 --> 00:19:14,040 Speaker 1: we turn. We turned to Shira ov Day and she 332 00:19:14,200 --> 00:19:17,040 Speaker 1: is our Bloomberg Gadfly columnist and joins us now in studio. 333 00:19:17,280 --> 00:19:19,400 Speaker 1: Great to see you as always here. Thanks for being here. 334 00:19:19,800 --> 00:19:21,560 Speaker 1: I want you to just dial back the news cycle 335 00:19:21,640 --> 00:19:23,840 Speaker 1: for just a moment and tell us what you believe 336 00:19:24,000 --> 00:19:28,280 Speaker 1: or what we know about a meeting between President elect 337 00:19:28,320 --> 00:19:31,959 Speaker 1: Donald Trump and mash Yoshi San who is the founder 338 00:19:32,080 --> 00:19:34,800 Speaker 1: of soft Bank, which happens to also I believe, be 339 00:19:34,880 --> 00:19:38,600 Speaker 1: the majority show shareholder controlling interest in Sprint. That's right, 340 00:19:38,640 --> 00:19:41,440 Speaker 1: So the two met yesterday and Trump Tower during this 341 00:19:41,560 --> 00:19:46,000 Speaker 1: you know, endless series of Trump e meetings and afterwards, 342 00:19:46,400 --> 00:19:52,000 Speaker 1: Donald Trump tweeted that Muscle Son committed to investing fifty 343 00:19:52,040 --> 00:19:56,479 Speaker 1: billion dollars in the United States and to creating fifty 344 00:19:56,600 --> 00:20:02,280 Speaker 1: thousand jobs in this country. Did massa Son edify or 345 00:20:02,520 --> 00:20:08,960 Speaker 1: or sort of confirm President Elected Trump's tweets? So, like 346 00:20:09,200 --> 00:20:13,160 Speaker 1: most political policy statements given in a hundred and forty 347 00:20:13,280 --> 00:20:17,239 Speaker 1: character bursts, uh, this one from Donald Trump has um 348 00:20:17,600 --> 00:20:20,480 Speaker 1: lots of bogus elements. So let's take the fifty billion 349 00:20:20,520 --> 00:20:24,480 Speaker 1: dollar number first. So massa Son confirmed later that the 350 00:20:24,560 --> 00:20:29,760 Speaker 1: fifty billion dollar figure was basically a reference to a 351 00:20:30,000 --> 00:20:33,960 Speaker 1: pre existing announcement that they he and others made in 352 00:20:34,400 --> 00:20:38,200 Speaker 1: earlier this fall about a hundred billion dollar investment fund 353 00:20:38,680 --> 00:20:42,159 Speaker 1: in startups around the world includes money from Saudi Arabia. 354 00:20:42,200 --> 00:20:44,359 Speaker 1: For correct, includes money from Saudi Arabia. In fact, the 355 00:20:44,400 --> 00:20:47,359 Speaker 1: majority of money and that fund is not from soft 356 00:20:47,400 --> 00:20:51,159 Speaker 1: Bank itself, but from Saudi Arabia and others. So the 357 00:20:51,240 --> 00:20:55,240 Speaker 1: fifty billion figure seems merely to be confirming that they'll 358 00:20:55,280 --> 00:20:58,480 Speaker 1: spend half or so of that hundred billion dollar fund 359 00:20:58,720 --> 00:21:02,119 Speaker 1: in the United States, which natural given the prevalence of 360 00:21:02,280 --> 00:21:04,520 Speaker 1: the tech industry here in the U. Okay, but I 361 00:21:04,560 --> 00:21:06,920 Speaker 1: mean it is true or or it is at least 362 00:21:07,040 --> 00:21:10,320 Speaker 1: possible in the way that possibly it is possibly it 363 00:21:10,440 --> 00:21:13,400 Speaker 1: is possibly true, yes, which is you know, not not nothing, 364 00:21:13,520 --> 00:21:17,240 Speaker 1: although again I don't know that Trump can claim credit 365 00:21:17,320 --> 00:21:21,919 Speaker 1: for that. Fifty is correct. Well, Talking just more broadly 366 00:21:21,960 --> 00:21:26,120 Speaker 1: about President elect Trump's engagement with the tech industry, He's 367 00:21:26,160 --> 00:21:29,919 Speaker 1: holding a meeting with a lot of tech executives. Um, 368 00:21:30,040 --> 00:21:33,080 Speaker 1: are we getting any hints of what different sides are 369 00:21:33,119 --> 00:21:36,439 Speaker 1: hoping will come of that? It should be very interesting 370 00:21:36,520 --> 00:21:39,439 Speaker 1: to see what happens when the tech community and Trump 371 00:21:39,600 --> 00:21:42,440 Speaker 1: get together. This is a technology as an industry that 372 00:21:43,400 --> 00:21:47,959 Speaker 1: maybe more than any other, was horrified by the election 373 00:21:48,040 --> 00:21:51,200 Speaker 1: of Donald Trump. You know, they sort of felt both 374 00:21:51,400 --> 00:21:55,760 Speaker 1: politically and culturally that Trump does not stand for what 375 00:21:56,160 --> 00:21:58,800 Speaker 1: they believe The tech industry stands for. A lot of 376 00:21:58,880 --> 00:22:05,160 Speaker 1: them a posed Trump's campaign publicly with their checkbooks also, 377 00:22:05,720 --> 00:22:10,320 Speaker 1: so it'll really be interesting public in his support of 378 00:22:11,000 --> 00:22:14,040 Speaker 1: former Secretary of State Hillary Clintons, as I recall, I 379 00:22:14,119 --> 00:22:15,760 Speaker 1: want to just get thoughts just a little bit more 380 00:22:15,840 --> 00:22:19,400 Speaker 1: on Sprint, you know, connected with a soft bank Sprint 381 00:22:19,560 --> 00:22:22,480 Speaker 1: shares after that was announced in the tweet, I guess 382 00:22:22,640 --> 00:22:25,360 Speaker 1: up one and a half percent. Uh, Now you've got 383 00:22:25,760 --> 00:22:30,120 Speaker 1: the shares are up about six percent, So clearly somebody 384 00:22:30,320 --> 00:22:33,600 Speaker 1: believes that there is a value in having the ear 385 00:22:33,680 --> 00:22:36,160 Speaker 1: of the president elect. That's exactly right. So the issue 386 00:22:36,200 --> 00:22:39,200 Speaker 1: here is that Muscleson has made no secret of his 387 00:22:39,359 --> 00:22:44,240 Speaker 1: desire to merge Sprint with T Mobile to mobile companies 388 00:22:44,560 --> 00:22:47,120 Speaker 1: that under the Obama administration that has not been possible 389 00:22:47,160 --> 00:22:49,960 Speaker 1: for regulatory reasons. So the hopes are that with this 390 00:22:50,119 --> 00:22:54,320 Speaker 1: new administration in Washington soon can finally make that merger, 391 00:22:54,640 --> 00:22:58,000 Speaker 1: which would probably lead to significant savings at Sprint um 392 00:22:58,080 --> 00:23:01,200 Speaker 1: ironically probably via I think in job losses, and it 393 00:23:01,240 --> 00:23:05,000 Speaker 1: would be something based maybe on your reporting that John Ledger, 394 00:23:05,040 --> 00:23:09,840 Speaker 1: the chief executive T Mobile, has already entertained let's say, Yeah, 395 00:23:10,080 --> 00:23:13,040 Speaker 1: I think probably there's desire on the part of both 396 00:23:13,160 --> 00:23:16,320 Speaker 1: Sprint and T Mobile to do that merger if regulators 397 00:23:16,400 --> 00:23:19,080 Speaker 1: would allow it. That's just so fascinating and would would 398 00:23:19,200 --> 00:23:21,480 Speaker 1: would President elect Trump, you know, latterly be able to 399 00:23:21,560 --> 00:23:24,199 Speaker 1: sort of see that thing through. Yeah, I mean, it's 400 00:23:24,240 --> 00:23:26,160 Speaker 1: hard to know, right, These are decisions that are made 401 00:23:26,200 --> 00:23:30,440 Speaker 1: by regulatory bodies, not the White House. But obviously the 402 00:23:30,480 --> 00:23:34,040 Speaker 1: President of the United States has control over who runs 403 00:23:34,400 --> 00:23:37,480 Speaker 1: federal agencies like the FCC just just to switch topics 404 00:23:37,560 --> 00:23:40,200 Speaker 1: is a little bit. Since we have you here, Verizon 405 00:23:40,359 --> 00:23:44,480 Speaker 1: announced yesterday that it plans to sell twenty nine of 406 00:23:44,560 --> 00:23:46,920 Speaker 1: its data centers for three point six billion dollars. And 407 00:23:46,960 --> 00:23:49,240 Speaker 1: typically when you hear data centers and this, you know, 408 00:23:49,359 --> 00:23:51,280 Speaker 1: you sort of like your eyes glaze over and it's 409 00:23:51,320 --> 00:23:54,560 Speaker 1: like we care why, um, but you made it really interesting. 410 00:23:55,320 --> 00:23:58,480 Speaker 1: It depends for you. Are you wrote a story that 411 00:23:58,720 --> 00:24:02,040 Speaker 1: had the most fantastically ever, here's a curse to hurl 412 00:24:02,119 --> 00:24:04,919 Speaker 1: at your worst enemy. May you be forced to operate 413 00:24:05,040 --> 00:24:08,359 Speaker 1: data centers? Why is it such a problem. Yes, it's 414 00:24:08,359 --> 00:24:10,879 Speaker 1: a little bit ironic because nobody thinks about data centers. 415 00:24:10,960 --> 00:24:13,520 Speaker 1: I agree with you. Great you cover tech and you 416 00:24:13,560 --> 00:24:15,560 Speaker 1: can understand why people's eyes glaze over. I hear you. 417 00:24:15,680 --> 00:24:18,280 Speaker 1: It is not uh, you know, jet packs and and 418 00:24:18,440 --> 00:24:21,040 Speaker 1: drones delivering packages to your door. It is boring. But 419 00:24:21,160 --> 00:24:25,879 Speaker 1: data centers are the essential components of everything we do online. 420 00:24:25,920 --> 00:24:28,480 Speaker 1: These are you know, giant buildings packed with computer servers. 421 00:24:28,800 --> 00:24:31,000 Speaker 1: Without them, we could not order an uber, or we 422 00:24:31,040 --> 00:24:33,440 Speaker 1: cannot send an email. We could not do anything. The 423 00:24:33,560 --> 00:24:37,840 Speaker 1: problem is the economics of the computer industry are changing 424 00:24:37,880 --> 00:24:41,240 Speaker 1: to the point where Owning these essential engines of the 425 00:24:41,320 --> 00:24:47,720 Speaker 1: digital age is an incredibly difficult business unless you are Google, Amazon, Facebook, 426 00:24:47,840 --> 00:24:50,520 Speaker 1: and a handful of other rich tech companies. And Verizon 427 00:24:50,560 --> 00:24:53,440 Speaker 1: found that out basically, and I believe at one point 428 00:24:53,480 --> 00:24:56,840 Speaker 1: they were putting server farms in cold locations in order 429 00:24:56,920 --> 00:25:01,199 Speaker 1: to save money and also to increase perform elements because 430 00:25:01,440 --> 00:25:04,560 Speaker 1: it mattered. I mean, that is part of the innovation 431 00:25:04,920 --> 00:25:07,720 Speaker 1: that the giant tech companies have brought to this business. 432 00:25:07,800 --> 00:25:11,240 Speaker 1: That one of the biggest expenses of owning buildings packed 433 00:25:11,280 --> 00:25:14,360 Speaker 1: with computer servers is that those servers get really, really 434 00:25:14,440 --> 00:25:17,159 Speaker 1: hot from all the calculations they're doing. And it is 435 00:25:17,520 --> 00:25:21,200 Speaker 1: cheaper if you put those buildings in cold weather locations 436 00:25:21,240 --> 00:25:23,520 Speaker 1: where you pay less to cool down those buildings. You're 437 00:25:23,520 --> 00:25:28,120 Speaker 1: talking Canada and Canada, Scandinavia, Oregon, right, and I think 438 00:25:28,400 --> 00:25:31,119 Speaker 1: and just before we got to ask you the uh 439 00:25:31,400 --> 00:25:35,520 Speaker 1: Qualcom Intel, I keep thinking Snapdragon for Qualcom because that's 440 00:25:35,520 --> 00:25:37,080 Speaker 1: what goes in the mobile phone. But there's a different 441 00:25:37,119 --> 00:25:39,520 Speaker 1: kind of chip. Yeah, this is this is a big deal, 442 00:25:39,560 --> 00:25:42,040 Speaker 1: another one of these nerdy tech things that no one 443 00:25:42,080 --> 00:25:45,280 Speaker 1: will care about, but it is incredibly important. So quality. 444 00:25:45,760 --> 00:25:49,960 Speaker 1: Intel is the computer chip company that makes every personal 445 00:25:50,000 --> 00:25:53,960 Speaker 1: computer chip and has basically on market share of the 446 00:25:54,000 --> 00:25:56,879 Speaker 1: computer chips that go in those computer servers and data centers, 447 00:25:57,440 --> 00:26:00,879 Speaker 1: and that's been a great business for Intel. Central thesis 448 00:26:00,920 --> 00:26:03,840 Speaker 1: of investing in Intel is because of their dominance in 449 00:26:04,000 --> 00:26:08,920 Speaker 1: these computer server chips. So Qualcom, which is Intel's big rival, 450 00:26:09,800 --> 00:26:14,159 Speaker 1: said today, we have produced these chips for computer servers 451 00:26:14,400 --> 00:26:17,240 Speaker 1: that at least in principle, are competitive with what Intel 452 00:26:17,359 --> 00:26:23,359 Speaker 1: is doing, and that should be um A a big scare. 453 00:26:29,000 --> 00:26:31,440 Speaker 1: Thanks for listening to the Bloomberg P and L podcast. 454 00:26:31,840 --> 00:26:35,600 Speaker 1: You can subscribe and listen to interviews at iTunes, SoundCloud, 455 00:26:35,840 --> 00:26:40,040 Speaker 1: or whatever podcast platform you prefer. I'm pim Fox. I'm 456 00:26:40,040 --> 00:26:42,959 Speaker 1: out there on Twitter at pim Fox. I'm out there 457 00:26:43,000 --> 00:26:46,240 Speaker 1: on Twitter at Lisa Abramo. It's one before the podcast. 458 00:26:46,320 --> 00:26:49,000 Speaker 1: You can always catch us worldwide on Bloomberg Radio.