1 00:00:02,720 --> 00:00:11,480 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. This is Bloomberg Intelligence 2 00:00:11,560 --> 00:00:13,680 Speaker 1: with Alex Steel and Paul Sweeney. 3 00:00:13,760 --> 00:00:16,959 Speaker 2: The real ap performance has been the US corporate high yield. 4 00:00:17,160 --> 00:00:19,520 Speaker 3: Are the companies lean enough? Have they trimmed all the fats? 5 00:00:19,600 --> 00:00:22,760 Speaker 2: The semiconductor business is a really cyclical. 6 00:00:22,360 --> 00:00:26,560 Speaker 1: Business, breaking market headlines and corporate news from across the globe. 7 00:00:26,600 --> 00:00:29,040 Speaker 3: Do investors like the M and A that we've seen? 8 00:00:29,240 --> 00:00:32,199 Speaker 2: These are two big time blue chip companies. 9 00:00:32,479 --> 00:00:35,839 Speaker 3: Window between the peak and cunt changing super fast. 10 00:00:36,120 --> 00:00:41,160 Speaker 1: Bloomberg Intelligence with Alex Steele and Paul Sweeney on Bloomberg Radio. 11 00:00:42,600 --> 00:00:45,040 Speaker 2: On Today's Bloomberg Intelligence Show, we dig inside the big 12 00:00:45,040 --> 00:00:47,479 Speaker 2: business stories impacting Wall Street and the global markets. 13 00:00:47,520 --> 00:00:49,560 Speaker 4: Each and every week we provide in depth research and 14 00:00:49,640 --> 00:00:51,559 Speaker 4: data on some of the two thousand companies and one 15 00:00:51,640 --> 00:00:54,320 Speaker 4: hundred and thirty industries our analysts cover worldwide. 16 00:00:54,360 --> 00:00:56,720 Speaker 2: Today, we'll look at how drug makers are being impacted 17 00:00:56,720 --> 00:00:58,120 Speaker 2: by policy in Washington, DC. 18 00:00:58,320 --> 00:01:00,880 Speaker 4: Plus, we'll discuss how one bank is abandoning its net 19 00:01:00,960 --> 00:01:02,480 Speaker 4: zero financed emission goals. 20 00:01:02,720 --> 00:01:05,120 Speaker 2: At first, we begin with the airlines industry. This week, 21 00:01:05,160 --> 00:01:07,920 Speaker 2: Delta Airlines withdrew its full year financial guidance due to 22 00:01:08,040 --> 00:01:11,320 Speaker 2: uncertainty surrounding global trade, and this comes despite the airline 23 00:01:11,319 --> 00:01:13,520 Speaker 2: reporting better than expected first quarter profit. 24 00:01:13,680 --> 00:01:15,640 Speaker 4: For more on this and the state of the airline industry, 25 00:01:15,680 --> 00:01:18,880 Speaker 4: we were drawn by George ferguson Bloomberg Intelligence in your Aerospace, 26 00:01:18,920 --> 00:01:20,240 Speaker 4: Defense and Airlines analyst. 27 00:01:20,440 --> 00:01:22,520 Speaker 2: We first asked George to break down what happened during 28 00:01:22,600 --> 00:01:24,280 Speaker 2: Delta's first quarter earnings call. 29 00:01:24,959 --> 00:01:28,320 Speaker 5: The call wasn't as bad I think as a lot feared. 30 00:01:29,000 --> 00:01:31,399 Speaker 5: You know, A lot of what we heard was the 31 00:01:31,480 --> 00:01:35,399 Speaker 5: premium markets are still good. Europe is still good, but 32 00:01:35,440 --> 00:01:40,479 Speaker 5: they're watching it very closely. Asia Pacific was a good 33 00:01:40,480 --> 00:01:45,720 Speaker 5: market as well. Non premium back of the airplane travel 34 00:01:45,880 --> 00:01:50,560 Speaker 5: in the domestic market is poor. And because of all that, 35 00:01:50,800 --> 00:01:55,200 Speaker 5: you know, they're gonna cap You're gonna flatline capacity, no 36 00:01:55,320 --> 00:01:58,920 Speaker 5: growth for the second half of the year. So it 37 00:01:59,040 --> 00:02:04,280 Speaker 5: sounded like things are okay. Maybe they're okay, but we're 38 00:02:04,280 --> 00:02:05,400 Speaker 5: watching things very close. 39 00:02:05,520 --> 00:02:08,560 Speaker 2: But I remember that Delta and the other US carriers 40 00:02:08,919 --> 00:02:12,280 Speaker 2: probably several weeks ago cut their guidance. This was before 41 00:02:12,280 --> 00:02:16,440 Speaker 2: I think an investor conference, so they've already cut guidance once. 42 00:02:16,520 --> 00:02:20,600 Speaker 2: Here agree, So where are we there? I mean, do 43 00:02:20,639 --> 00:02:22,560 Speaker 2: you feel like street estimates need to come down. 44 00:02:22,360 --> 00:02:26,000 Speaker 5: Here, agreed. Well, so when I looked at the preliminary 45 00:02:26,000 --> 00:02:28,760 Speaker 5: guidance for two Q, it did seem like street estimates 46 00:02:28,760 --> 00:02:33,080 Speaker 5: for two Q had to come down, right because Delta 47 00:02:33,120 --> 00:02:35,760 Speaker 5: gave some pretty broad ranges. But it looks like capacity 48 00:02:35,840 --> 00:02:38,760 Speaker 5: is going to rise five percent when I look at 49 00:02:38,800 --> 00:02:41,480 Speaker 5: schedules for them in the second quarter, and they said 50 00:02:41,520 --> 00:02:44,400 Speaker 5: revenue could be up to to down two and if 51 00:02:44,400 --> 00:02:46,280 Speaker 5: I did my math right, that means that I think 52 00:02:46,560 --> 00:02:52,320 Speaker 5: either way fares are softening again. It's we're definitely working 53 00:02:52,360 --> 00:02:56,959 Speaker 5: off lower expectations after they cut earnings expectations after the 54 00:02:57,080 --> 00:03:01,600 Speaker 5: JP Morgan conference. But so Caesar Trappie here, Georgia. 55 00:03:01,680 --> 00:03:05,919 Speaker 2: I know every year you take a boondoggle over to Europe, 56 00:03:05,960 --> 00:03:09,160 Speaker 2: either to London or Parish for these air shows, and 57 00:03:09,160 --> 00:03:12,600 Speaker 2: this is where these big airlines make place big orders 58 00:03:12,639 --> 00:03:16,280 Speaker 2: with the airplane suppliers bowing and airbus principally. Are we 59 00:03:16,320 --> 00:03:19,240 Speaker 2: going to get to a period, George where if they 60 00:03:19,240 --> 00:03:21,360 Speaker 2: even allow you to go to Paris of the French 61 00:03:21,440 --> 00:03:26,160 Speaker 2: late let you in, will European carriers buy Boeing planes 62 00:03:26,200 --> 00:03:30,920 Speaker 2: and vice versa. Will European carriers by or you know, Airbus. 63 00:03:32,520 --> 00:03:35,520 Speaker 5: I think they will. I think they will because the 64 00:03:35,600 --> 00:03:38,600 Speaker 5: queues for airplanes are so long you're not going to 65 00:03:38,680 --> 00:03:40,160 Speaker 5: get out of the queue you're in and go to 66 00:03:40,200 --> 00:03:43,520 Speaker 5: someone else's queue and wait longer. You'd have to wait 67 00:03:43,560 --> 00:03:47,560 Speaker 5: seven eight years for an A three twenty out of Airbus. 68 00:03:47,920 --> 00:03:49,520 Speaker 5: I think, as near as we could tell from the 69 00:03:49,520 --> 00:03:52,560 Speaker 5: backlog their show. But what I will tell you about 70 00:03:52,920 --> 00:03:58,280 Speaker 5: discussions with Ed Bastion about taking Airbus airplanes and who 71 00:03:58,320 --> 00:04:01,440 Speaker 5: pays a tariff? And he said he's not going to 72 00:04:01,480 --> 00:04:03,440 Speaker 5: pay a tariff, and he's not going to take any 73 00:04:03,440 --> 00:04:07,920 Speaker 5: deliveries or sorry, very few deliveries this year. So it 74 00:04:08,000 --> 00:04:11,320 Speaker 5: does sound like Delta has a tariff problem and isn't 75 00:04:11,360 --> 00:04:14,520 Speaker 5: ready to take new airplanes. Now I know, you know 76 00:04:14,520 --> 00:04:16,600 Speaker 5: their flatlining capacity for the back half of the year, 77 00:04:16,640 --> 00:04:19,960 Speaker 5: so maybe they don't need them. But if the market 78 00:04:20,040 --> 00:04:23,440 Speaker 5: was growing significantly right now, I think he'd have a problem. 79 00:04:23,720 --> 00:04:25,960 Speaker 2: So you mentioned kind of the weakness Delta was calling 80 00:04:25,960 --> 00:04:27,360 Speaker 2: out in the back of the plane, maybe some of 81 00:04:27,400 --> 00:04:31,760 Speaker 2: the more economy prices and seats. So does that mean 82 00:04:31,800 --> 00:04:34,960 Speaker 2: the discount airlines they're really going to face some trouble. 83 00:04:36,800 --> 00:04:37,040 Speaker 6: Yeah. 84 00:04:37,080 --> 00:04:39,960 Speaker 5: I mean the funny thing is again when sort of Delta, 85 00:04:40,120 --> 00:04:44,719 Speaker 5: United and American Ad justin earnings a month ago. The 86 00:04:44,760 --> 00:04:47,240 Speaker 5: low cost carriers did a little bit, but the moves 87 00:04:47,240 --> 00:04:51,359 Speaker 5: weren't as great, and the low cost carriers had already 88 00:04:51,400 --> 00:04:54,080 Speaker 5: been cutting capacity, right if you think about it. Spirit 89 00:04:54,120 --> 00:04:58,640 Speaker 5: Airlines went bankrupt. They cut forty percent out of their schedule, 90 00:04:58,680 --> 00:05:02,640 Speaker 5: or something like thirty percent of their schedule. Southwest significantly 91 00:05:02,720 --> 00:05:07,520 Speaker 5: slowed growth, they went close to zero. Jet Blue has 92 00:05:07,560 --> 00:05:11,359 Speaker 5: been cutting and now Delta came in today and said, look, 93 00:05:11,560 --> 00:05:13,240 Speaker 5: we're going to cut the back half of the year 94 00:05:13,320 --> 00:05:16,359 Speaker 5: to flat. So I feel like the full service have 95 00:05:16,480 --> 00:05:20,239 Speaker 5: to make up ground here because they had been growing 96 00:05:20,279 --> 00:05:22,200 Speaker 5: a little bit too fast. We had seen that at 97 00:05:22,240 --> 00:05:24,800 Speaker 5: the beginning of the year, we're going to see an 98 00:05:24,800 --> 00:05:28,000 Speaker 5: earning season. Whether or not maybe low cost got ahead 99 00:05:28,000 --> 00:05:31,960 Speaker 5: of the curve here. I still can't believe that Delta 100 00:05:32,000 --> 00:05:35,680 Speaker 5: can deliver a seat as cheap as a low cost carrier. 101 00:05:36,040 --> 00:05:39,400 Speaker 5: So I personally think the low cost carriers still have 102 00:05:39,480 --> 00:05:43,800 Speaker 5: a valid business here and they'll fill airplanes and do okay. 103 00:05:44,160 --> 00:05:46,360 Speaker 5: But when you get into times of trouble in this industry, 104 00:05:47,160 --> 00:05:49,240 Speaker 5: Trouble is big in this industry. Right, there's a lot 105 00:05:49,240 --> 00:05:52,680 Speaker 5: of operating leverage and so we're going to see, right, we're. 106 00:05:52,520 --> 00:05:56,800 Speaker 4: Gonna jetfield prices are coming down. I mean they are, 107 00:05:56,960 --> 00:06:00,880 Speaker 4: That's the thing. Thirty seconds top airline and to manage 108 00:06:00,880 --> 00:06:02,560 Speaker 4: all of this right now, what do you think. 109 00:06:02,920 --> 00:06:04,000 Speaker 5: I'd go with? Balance sheets? 110 00:06:04,080 --> 00:06:04,159 Speaker 6: Right? 111 00:06:04,200 --> 00:06:07,280 Speaker 5: And that's going to be companies like Southwest and Delta 112 00:06:07,560 --> 00:06:10,279 Speaker 5: that have strong balance sheets and weather storms. 113 00:06:10,200 --> 00:06:13,520 Speaker 2: Our Thanks to George Ferguson, Bloomberg Intelligence Senior Aerospace, Defense 114 00:06:13,560 --> 00:06:14,440 Speaker 2: and Airlines Analyst. 115 00:06:14,600 --> 00:06:17,120 Speaker 4: We move next to the consumer goods industry. This week, 116 00:06:17,160 --> 00:06:19,960 Speaker 4: Constellation Brands issued downbeat guidance for the year as new 117 00:06:20,040 --> 00:06:23,040 Speaker 4: US tariffs im muted demand. Way on the beer, wine, 118 00:06:23,240 --> 00:06:24,599 Speaker 4: and spirits maker. 119 00:06:24,440 --> 00:06:26,840 Speaker 2: For more, We were joined by Ken Sha, Bloomberg Intelligence 120 00:06:26,880 --> 00:06:28,480 Speaker 2: Senior Consumer Products Analyst. 121 00:06:28,760 --> 00:06:31,360 Speaker 4: We first asked Ken for his take on Constellation's most 122 00:06:31,400 --> 00:06:32,120 Speaker 4: recent guidance. 123 00:06:32,640 --> 00:06:36,080 Speaker 7: There's so many moving parts to the Constellation storyline here. 124 00:06:37,279 --> 00:06:40,080 Speaker 7: It's really a challenge of analysts to put it all together. 125 00:06:40,160 --> 00:06:42,320 Speaker 7: But you touch on the right points, and that is 126 00:06:43,160 --> 00:06:46,080 Speaker 7: the near term challenge is facing a Constellation and other 127 00:06:46,160 --> 00:06:50,080 Speaker 7: brewers for that matter, is weak demand. A lot of 128 00:06:50,120 --> 00:06:54,279 Speaker 7: it is economic. Constellation would also point to their key 129 00:06:54,320 --> 00:06:58,400 Speaker 7: demographic is the Hispanic demographic, and they're having a little 130 00:06:58,400 --> 00:07:02,359 Speaker 7: tougher time with the employment situation and slow down, but 131 00:07:02,440 --> 00:07:05,520 Speaker 7: they have some longer term threats also. I mean, you 132 00:07:05,680 --> 00:07:10,560 Speaker 7: have more substitute products. You have legal cannabis. You have 133 00:07:10,680 --> 00:07:14,760 Speaker 7: the hemp based CBD THHC products that are now down 134 00:07:14,800 --> 00:07:16,520 Speaker 7: main street. You don't have to go to a dispensary 135 00:07:16,560 --> 00:07:19,080 Speaker 7: to buy THC anymore, you just go to the local 136 00:07:19,840 --> 00:07:23,640 Speaker 7: liquor store. You have the GLP one drugs where people 137 00:07:23,640 --> 00:07:27,800 Speaker 7: are Our studies show that are consuming less alcohol because 138 00:07:27,840 --> 00:07:30,440 Speaker 7: they're on those drugs. All those things are weighing on 139 00:07:30,480 --> 00:07:34,360 Speaker 7: the near term and perhaps longer term sales growth potential 140 00:07:34,720 --> 00:07:36,320 Speaker 7: for beer. And that's what the anamals are trying to 141 00:07:36,320 --> 00:07:37,680 Speaker 7: wrap our heads around right now. 142 00:07:38,120 --> 00:07:42,480 Speaker 2: What is the price elasticity on alcohol? Can these companies 143 00:07:42,480 --> 00:07:43,680 Speaker 2: pass along price increases? 144 00:07:45,000 --> 00:07:47,640 Speaker 7: Well, it depends on the product pole. The good news 145 00:07:48,560 --> 00:07:53,800 Speaker 7: among that other otherwise onerous outlook is that Constellation's Corona 146 00:07:53,840 --> 00:07:56,280 Speaker 7: and Medello brands lead the market in terms of growth. 147 00:07:57,320 --> 00:08:01,840 Speaker 7: Those products continue to command reamium prices. They're growing faster 148 00:08:01,960 --> 00:08:05,880 Speaker 7: than the market, so they're they're generating best in class 149 00:08:05,960 --> 00:08:09,160 Speaker 7: operating margins on those products, but you know, they're not 150 00:08:09,160 --> 00:08:12,800 Speaker 7: immune to the slowdown, and clearly they lowered their guidance. 151 00:08:12,880 --> 00:08:14,760 Speaker 7: Well the fourth their fiscal fourth quarter came in a 152 00:08:14,800 --> 00:08:17,600 Speaker 7: little better than expected. Some of the concerns out there 153 00:08:17,720 --> 00:08:21,560 Speaker 7: is they lowered their longer term sales growth projections. Used 154 00:08:21,560 --> 00:08:23,280 Speaker 7: to be, you know, a high single digit kind of 155 00:08:23,320 --> 00:08:27,080 Speaker 7: sales growing segment for many years. They came out and said, 156 00:08:27,120 --> 00:08:28,560 Speaker 7: you know, over the next few years, you're going to 157 00:08:28,600 --> 00:08:31,600 Speaker 7: see yeah, we're like low single digit. And the analysts 158 00:08:31,600 --> 00:08:33,840 Speaker 7: were a little taken aback by that. And to Alex's 159 00:08:33,920 --> 00:08:36,320 Speaker 7: question before, how much is that near term you know, 160 00:08:36,440 --> 00:08:40,359 Speaker 7: cyclical economic issues and how much is longer term demographic 161 00:08:40,400 --> 00:08:43,680 Speaker 7: things weighing on this category? So no one really knows. 162 00:08:43,679 --> 00:08:44,600 Speaker 7: So we'll find out. 163 00:08:44,520 --> 00:08:47,280 Speaker 4: Nobody knows, right, So then what does Constellation do about that? Like, 164 00:08:47,320 --> 00:08:49,400 Speaker 4: do they go build a beer plant in the US, 165 00:08:49,520 --> 00:08:51,199 Speaker 4: Do they look for some M and A, do they 166 00:08:51,240 --> 00:08:51,760 Speaker 4: pair back? 167 00:08:51,840 --> 00:08:51,920 Speaker 6: Like? 168 00:08:51,920 --> 00:08:52,480 Speaker 3: What do they do? 169 00:08:52,840 --> 00:08:52,960 Speaker 6: Well? 170 00:08:52,960 --> 00:08:55,880 Speaker 7: They're innovating. I would argue that Constellation is one of 171 00:08:55,920 --> 00:08:59,240 Speaker 7: the more innovative beer companies. So they're taking that that 172 00:08:59,320 --> 00:09:02,760 Speaker 7: base of a real good brand family of Corona and Medelo, 173 00:09:02,840 --> 00:09:05,760 Speaker 7: and they have Pacific go but they also are extending 174 00:09:05,920 --> 00:09:12,480 Speaker 7: into chiladas, which are very flavorful malt based products. They're 175 00:09:12,480 --> 00:09:16,640 Speaker 7: getting into the malt based seltzer markets a little bit. 176 00:09:16,880 --> 00:09:18,280 Speaker 7: They used to do it, but I'm going to come 177 00:09:18,320 --> 00:09:20,440 Speaker 7: back with a better product. Now they have a no 178 00:09:20,559 --> 00:09:24,000 Speaker 7: alcohol version Corona, So it's innovation. I think that they 179 00:09:24,080 --> 00:09:28,200 Speaker 7: believe can continue to drive sales growth. But there's no 180 00:09:28,240 --> 00:09:31,199 Speaker 7: silver bullet. I mean, there's no big acquisition out there. 181 00:09:31,400 --> 00:09:34,360 Speaker 7: I don't believe that they're going to make to enhance 182 00:09:34,400 --> 00:09:36,199 Speaker 7: their growth. I think they have a good brand and 183 00:09:36,920 --> 00:09:41,360 Speaker 7: a good asset to grow. But again, you're not going 184 00:09:41,400 --> 00:09:45,960 Speaker 7: to escape the long term headwinds facing alcoholic products, alcoholic 185 00:09:45,960 --> 00:09:48,199 Speaker 7: beverage products in general as a matter of fact. 186 00:09:48,200 --> 00:09:51,080 Speaker 2: So can you follow the beverages, the tobacco and the 187 00:09:51,080 --> 00:09:53,480 Speaker 2: cannabis companies? Is there a place to hide in your 188 00:09:53,720 --> 00:09:56,040 Speaker 2: sector here in a world where where you're going to 189 00:09:56,040 --> 00:09:59,360 Speaker 2: see potentially slower growth from some of these trade policies. 190 00:10:00,000 --> 00:10:03,040 Speaker 7: Well, of the ones you mentioned, Paul, I mean the tobacco, 191 00:10:03,040 --> 00:10:06,200 Speaker 7: particularly cigarette company lit cigarettes are some ninety percent of 192 00:10:06,200 --> 00:10:09,800 Speaker 7: that business. Still they are pretty much immune to the 193 00:10:09,880 --> 00:10:13,720 Speaker 7: tariff situation. It's pretty much a domestic business. Yes, there's 194 00:10:13,760 --> 00:10:16,080 Speaker 7: some tobacco leaf imports that come in and so on, 195 00:10:16,120 --> 00:10:19,000 Speaker 7: but by and large that's a domestic business. So if 196 00:10:19,160 --> 00:10:21,640 Speaker 7: if you're worried about tariffs, perhaps that's a place where 197 00:10:21,760 --> 00:10:28,040 Speaker 7: can can go in terms of, you know, beyond tariff threats. 198 00:10:28,080 --> 00:10:31,040 Speaker 7: Really the soft drink side of beverages is a good 199 00:10:31,040 --> 00:10:35,600 Speaker 7: place to be. I would argue that even the you know, 200 00:10:35,760 --> 00:10:39,120 Speaker 7: tried and true carbonated beverage sodas, you know, the diet sodas, 201 00:10:39,160 --> 00:10:43,640 Speaker 7: are still performing pretty well. They're innovating well. Cure Doctor 202 00:10:43,640 --> 00:10:47,440 Speaker 7: Pepper continues to come out with new innovation that's moving 203 00:10:47,440 --> 00:10:50,240 Speaker 7: that category. They're kind of leading that category's growth right now, 204 00:10:50,280 --> 00:10:52,200 Speaker 7: but they're doing a pretty good job doing it. So 205 00:10:52,280 --> 00:10:54,120 Speaker 7: that's a good place to go in terms of the 206 00:10:54,200 --> 00:10:57,000 Speaker 7: universe that I cover. Cannabis is tough. Cannabis. You know, 207 00:10:57,040 --> 00:11:01,000 Speaker 7: the regulation on cannabis is not easing. The Trump administration 208 00:11:01,120 --> 00:11:04,920 Speaker 7: is not being kind to the acadamist industry, and we're 209 00:11:04,960 --> 00:11:09,160 Speaker 7: not expecting much on the way of legalization liberalization near term, 210 00:11:09,600 --> 00:11:13,600 Speaker 7: with the exception of some states. Some states will probably 211 00:11:13,679 --> 00:11:17,120 Speaker 7: continue to legalize, but from a federal point of view, 212 00:11:17,240 --> 00:11:19,440 Speaker 7: I would wait for the next Administration. 213 00:11:19,640 --> 00:11:23,400 Speaker 2: Our thanks to Ken Shay, Bloomberg Intelligence senior consumer products analysts. 214 00:11:23,120 --> 00:11:26,240 Speaker 4: Coming up a conversation with Workday's chief technology officer on 215 00:11:26,400 --> 00:11:27,640 Speaker 4: artificial intelligence. 216 00:11:27,760 --> 00:11:30,640 Speaker 2: You're listening to Bloomberg Intelligence on Bloomberg Radio, providing in 217 00:11:30,679 --> 00:11:32,960 Speaker 2: depth research and data on two thousand companies and one 218 00:11:33,040 --> 00:11:36,040 Speaker 2: hundred and thirty industries. You can access Bloomberg Intelligence via 219 00:11:36,080 --> 00:11:37,120 Speaker 2: bi go on the terminal. 220 00:11:37,200 --> 00:11:40,000 Speaker 4: I'm Paul Sweeney and a Malex Steel, and this is Bloomberg. 221 00:11:45,480 --> 00:11:49,160 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 222 00:11:49,240 --> 00:11:52,360 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 223 00:11:52,360 --> 00:11:55,679 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 224 00:11:55,720 --> 00:12:00,360 Speaker 1: you get your podcasts, or watch us live on YouTube. 225 00:12:00,240 --> 00:12:03,520 Speaker 4: We look at research from Bloomberg n EF previously known 226 00:12:03,520 --> 00:12:05,920 Speaker 4: as New Energy Finance. They're the team at Bloomberg that 227 00:12:06,040 --> 00:12:11,120 Speaker 4: tracks and analyzes the energy transition from commodities to power, transport, industries, buildings, 228 00:12:11,160 --> 00:12:12,880 Speaker 4: and the agricultural sectors. 229 00:12:13,200 --> 00:12:15,560 Speaker 2: We recently looked at the effect of President Donald Trump's 230 00:12:15,600 --> 00:12:19,360 Speaker 2: policies on clean energy markets. This week, President Trump announced 231 00:12:19,360 --> 00:12:21,080 Speaker 2: he's raising tariffs on Chinese goods. 232 00:12:21,200 --> 00:12:23,920 Speaker 4: Many critical minerals and energy products come from China and 233 00:12:23,960 --> 00:12:26,480 Speaker 4: are subject to these tariffs, and that could have a 234 00:12:26,520 --> 00:12:28,720 Speaker 4: big impact on clean energy moving forward. 235 00:12:29,040 --> 00:12:33,320 Speaker 2: Separately, a Trump administration executive order said it's exempting forty 236 00:12:33,360 --> 00:12:36,720 Speaker 2: seven coal fired power plants from stringent air pollution mandates 237 00:12:36,920 --> 00:12:39,319 Speaker 2: and the goal is to revitalize the coal industry. 238 00:12:39,600 --> 00:12:41,240 Speaker 4: For more on all of this, we are joined by 239 00:12:41,240 --> 00:12:44,760 Speaker 4: Derek flackl b any F, lead US policy analysts. 240 00:12:44,960 --> 00:12:47,560 Speaker 2: We first asked Derek what he makes of the executive 241 00:12:47,679 --> 00:12:48,440 Speaker 2: order on coal. 242 00:12:48,840 --> 00:12:51,160 Speaker 8: Well, the executive order is interesting because this is sort 243 00:12:51,200 --> 00:12:52,880 Speaker 8: of a replay of what Trump tried to do in 244 00:12:52,880 --> 00:12:53,480 Speaker 8: his first term. 245 00:12:53,559 --> 00:12:53,719 Speaker 6: Right. 246 00:12:53,760 --> 00:12:57,160 Speaker 8: He had previously talked about increasing payments to or using 247 00:12:57,160 --> 00:13:01,240 Speaker 8: emergency powers for preserving existing coal plants, maybe bringing old 248 00:13:01,240 --> 00:13:04,040 Speaker 8: ones back online, and as we can see from the 249 00:13:04,080 --> 00:13:06,280 Speaker 8: power generation data, that didn't really work out. Coal is 250 00:13:06,280 --> 00:13:09,080 Speaker 8: now fifteen percent of generation in the US per year, 251 00:13:09,200 --> 00:13:13,120 Speaker 8: down from considerably higher levels before. So there's a lot 252 00:13:13,160 --> 00:13:15,400 Speaker 8: of different moving parts to this. You might see more 253 00:13:15,520 --> 00:13:19,760 Speaker 8: say coal exports, more long term gathering of coal leases, 254 00:13:19,800 --> 00:13:22,280 Speaker 8: which have been sort of moving back and forth from 255 00:13:22,360 --> 00:13:24,840 Speaker 8: Obama to Trump one, to Biden and now to Trump two. 256 00:13:25,160 --> 00:13:28,319 Speaker 8: But in general it's hard to say that this will 257 00:13:28,320 --> 00:13:32,040 Speaker 8: be a huge boon to coal build out or restoration, 258 00:13:32,160 --> 00:13:34,640 Speaker 8: especially when you have tariffs weighing on any kind of 259 00:13:34,640 --> 00:13:35,720 Speaker 8: big capital project. 260 00:13:36,679 --> 00:13:40,439 Speaker 2: All right, so talk about, you know, the energy ecosystem. 261 00:13:40,840 --> 00:13:43,960 Speaker 2: Where do we get stuff for the energy ecosystem, whether 262 00:13:44,000 --> 00:13:47,600 Speaker 2: it's fossil fuels, clean energy, where do we get the 263 00:13:47,840 --> 00:13:51,120 Speaker 2: equipment and is that something that's going to be impacted 264 00:13:51,160 --> 00:13:51,920 Speaker 2: by these tariffs? 265 00:13:52,640 --> 00:13:53,360 Speaker 9: Oh, very heavily. 266 00:13:53,720 --> 00:13:57,040 Speaker 8: Even for fossil fuels, which are often a very domestically 267 00:13:57,080 --> 00:14:01,880 Speaker 8: extracted resource, there's reliance on steel, luminum, specialized equipment that's imported, 268 00:14:02,040 --> 00:14:04,600 Speaker 8: which is why you saw the Dallas Fed register such 269 00:14:04,760 --> 00:14:08,840 Speaker 8: negative opinions about the tariffs coming in generally, more broadly 270 00:14:09,440 --> 00:14:13,160 Speaker 8: in terms of say solar equipment that mostly comes from 271 00:14:13,160 --> 00:14:16,520 Speaker 8: Southeast Asia, because we've had batteries, we've had tariffs in 272 00:14:16,600 --> 00:14:18,960 Speaker 8: China for a long time. Batteries themselves tend to come 273 00:14:19,000 --> 00:14:22,400 Speaker 8: from China. Electric vehicles are imported from a variety of places, 274 00:14:22,800 --> 00:14:25,080 Speaker 8: but especially you know, it's very domestic, with the fair 275 00:14:25,080 --> 00:14:27,680 Speaker 8: amount of Canada and Mexico in there. And lastly, if 276 00:14:27,680 --> 00:14:31,640 Speaker 8: you're thinking about say offshore wind, that's pretty dependent on Europe. 277 00:14:31,960 --> 00:14:36,360 Speaker 8: The only thing that's really effectively on shore and minimally 278 00:14:36,520 --> 00:14:39,320 Speaker 8: dependent on trade is onshore wind in the US. 279 00:14:40,480 --> 00:14:42,920 Speaker 4: What is the future of offshore wind in the US? 280 00:14:42,920 --> 00:14:45,360 Speaker 4: I mean, if we're talking about ramping up coal and 281 00:14:45,400 --> 00:14:49,520 Speaker 4: sort of there's zero love from the administration on offshore wind. 282 00:14:49,600 --> 00:14:52,200 Speaker 4: Have we seen sort of I don't know, leases or 283 00:14:52,240 --> 00:14:55,160 Speaker 4: any contracts be broken or do you feel like companies 284 00:14:55,160 --> 00:14:57,720 Speaker 4: that are still are still committed to the longer term 285 00:14:57,880 --> 00:14:59,080 Speaker 4: world of offshore wind. 286 00:15:00,080 --> 00:15:02,080 Speaker 8: Well, I mean what the offshore win companies will tell you. 287 00:15:02,440 --> 00:15:05,920 Speaker 8: This is a multi year, long term process of building 288 00:15:05,920 --> 00:15:09,080 Speaker 8: that's beyond any one administration. We have seen one lease 289 00:15:09,440 --> 00:15:13,080 Speaker 8: be canceled by the federal government for an ongoing project, 290 00:15:13,520 --> 00:15:15,760 Speaker 8: but generally speaking, we haven't seen a lot more movement 291 00:15:15,800 --> 00:15:17,960 Speaker 8: for things that have already been permitted and leased. Now 292 00:15:18,000 --> 00:15:19,720 Speaker 8: that's important because the federal government has a lot of 293 00:15:19,800 --> 00:15:22,040 Speaker 8: leverage over that process. We're not seeing a lot more 294 00:15:22,040 --> 00:15:24,880 Speaker 8: being added to the pipeline. But the real issue is 295 00:15:24,920 --> 00:15:27,880 Speaker 8: going to come in the form of costs, inflation, and 296 00:15:28,000 --> 00:15:30,880 Speaker 8: also potentially interest rates. We saw a major slowan an 297 00:15:30,880 --> 00:15:33,160 Speaker 8: offshore win under Biden, which is a very supportive administration, 298 00:15:33,400 --> 00:15:35,520 Speaker 8: simply because the cost of inputs went up and as 299 00:15:35,520 --> 00:15:38,120 Speaker 8: inflation went up. The FED height rates and wind is 300 00:15:38,120 --> 00:15:41,360 Speaker 8: a very large capital intensive project category and especially sensitive 301 00:15:41,360 --> 00:15:43,040 Speaker 8: to those kinds of things. So if the terrorists lead 302 00:15:43,040 --> 00:15:45,000 Speaker 8: to those broader impacts, we might see some fairly negative 303 00:15:45,040 --> 00:15:47,480 Speaker 8: results for even the offshore win projects that are already 304 00:15:47,520 --> 00:15:48,360 Speaker 8: allowed to go forward. 305 00:15:49,080 --> 00:15:51,720 Speaker 2: Derek, I think even folks that are you know that 306 00:15:51,800 --> 00:15:55,360 Speaker 2: question the value of the economic value of tariff in general, 307 00:15:55,400 --> 00:15:58,560 Speaker 2: they kind of recognize that some of this strategically important 308 00:15:58,560 --> 00:16:02,160 Speaker 2: stuff maybe that we ourn was strategically important from the 309 00:16:02,200 --> 00:16:06,160 Speaker 2: pandemic when they trade the cycles were all disrupted, the 310 00:16:06,240 --> 00:16:09,320 Speaker 2: trade routes were disrupted. That makes some sense. Is a 311 00:16:09,400 --> 00:16:13,000 Speaker 2: clean energy did they have a focus on bringing this 312 00:16:13,000 --> 00:16:14,640 Speaker 2: stuff on shore as much as possible. 313 00:16:15,000 --> 00:16:17,920 Speaker 8: There's been a lot of discussion of that across multiple administrations. 314 00:16:17,960 --> 00:16:20,320 Speaker 8: The Bide administration was in favor of that. The Trump 315 00:16:20,320 --> 00:16:23,800 Speaker 8: administration is in favor of on shory manufacturing generally and 316 00:16:23,880 --> 00:16:27,160 Speaker 8: of energy security independence, even dominance, as they like to 317 00:16:27,160 --> 00:16:30,360 Speaker 8: say generally, but that's a hard thing to achieve with 318 00:16:30,400 --> 00:16:34,600 Speaker 8: tariffs alone. Ultimately, a lot of the solar factories, battery factories, 319 00:16:34,600 --> 00:16:36,720 Speaker 8: ev factories that are coming up in the US are 320 00:16:36,760 --> 00:16:40,040 Speaker 8: dependent on imports, whether those are imports of upstream components 321 00:16:40,320 --> 00:16:43,200 Speaker 8: or of the manufacturing equipment needed to make the final 322 00:16:43,200 --> 00:16:46,840 Speaker 8: products solar panels and batteries themselves. And right now we're 323 00:16:46,840 --> 00:16:49,720 Speaker 8: seeing costs go up on those across the board. Unless 324 00:16:49,880 --> 00:16:54,160 Speaker 8: you have more reliable revenue streams like tax credits, for example, 325 00:16:54,280 --> 00:16:57,560 Speaker 8: it's kind of hard to imagine new decisions to build 326 00:16:57,560 --> 00:16:59,840 Speaker 8: that stuff out. Even things that are already being built 327 00:16:59,840 --> 00:17:02,560 Speaker 8: are facing uncertainty not only from the Trump tariffs, from 328 00:17:02,600 --> 00:17:05,119 Speaker 8: other investigations into tariffs being run at the Department of 329 00:17:05,119 --> 00:17:07,600 Speaker 8: Commerce and US Trade Representative, but also on the fate 330 00:17:07,640 --> 00:17:09,640 Speaker 8: of those tax credits, which is going to help guarantee 331 00:17:09,640 --> 00:17:10,760 Speaker 8: their revenues in the long term. 332 00:17:10,880 --> 00:17:13,200 Speaker 4: Yeah, there's a great point which leads us to the IRA, 333 00:17:13,359 --> 00:17:16,359 Speaker 4: the Inflation Reduction Act, which I mean, clearly President Trump 334 00:17:16,440 --> 00:17:18,520 Speaker 4: hates that thing, but there are is a lot of 335 00:17:18,600 --> 00:17:21,399 Speaker 4: value in it through the tax credits and subsidies for 336 00:17:21,600 --> 00:17:24,480 Speaker 4: companies that supposedly he is a fan of, like the 337 00:17:24,520 --> 00:17:27,199 Speaker 4: oil industry for example. When do you think we're going 338 00:17:27,280 --> 00:17:30,160 Speaker 4: to know the fate of the IRA and those tax credits. 339 00:17:30,680 --> 00:17:33,200 Speaker 8: That's a great question, and I've been wondering at myself. Obviously, 340 00:17:33,200 --> 00:17:35,000 Speaker 8: we're seeing a lot of wrangling between the House and 341 00:17:35,000 --> 00:17:37,840 Speaker 8: Senate about the top lights on their big budget bill 342 00:17:37,920 --> 00:17:39,399 Speaker 8: they're going to try and pass by the end of 343 00:17:39,440 --> 00:17:41,280 Speaker 8: the year. Obviously, the end of the year is when 344 00:17:41,320 --> 00:17:43,080 Speaker 8: individual tax rates go up, and so that's one of 345 00:17:43,080 --> 00:17:46,040 Speaker 8: the big forcing functions. You also are seeing the x 346 00:17:46,040 --> 00:17:49,439 Speaker 8: state the debt ceiling occurring somewhere between July and maybe September, 347 00:17:49,680 --> 00:17:51,040 Speaker 8: and that's going to be a point where there's going 348 00:17:51,080 --> 00:17:52,800 Speaker 8: to be a lot of pressure to pass a big 349 00:17:52,840 --> 00:17:56,160 Speaker 8: budget package, raise the debt ceiling, and probably also get 350 00:17:56,240 --> 00:17:59,600 Speaker 8: some of this tax material done. But we've seen a 351 00:17:59,640 --> 00:18:02,239 Speaker 8: lot of debt lines blown already for when we were 352 00:18:02,280 --> 00:18:04,440 Speaker 8: allegedly going to get top line packages, which are a 353 00:18:04,480 --> 00:18:06,640 Speaker 8: preconditioned to figure out what's going to happen what tax 354 00:18:06,680 --> 00:18:09,200 Speaker 8: credit and we don't even know that yet at this point. 355 00:18:09,240 --> 00:18:10,639 Speaker 8: We don't even know if they're going to use this 356 00:18:10,640 --> 00:18:13,679 Speaker 8: particular budget commit called current Policy, which would really reduce 357 00:18:13,720 --> 00:18:16,399 Speaker 8: the pressures to cut more. And as they're trying to 358 00:18:16,480 --> 00:18:18,080 Speaker 8: use that, we're seeing a lot of blowback from physical 359 00:18:18,119 --> 00:18:21,040 Speaker 8: conservatives in both the Senate but especially in the House, 360 00:18:21,480 --> 00:18:23,120 Speaker 8: and so we'll see. 361 00:18:23,000 --> 00:18:25,440 Speaker 4: Thank you so much to Derek flackl bn EF lead 362 00:18:25,520 --> 00:18:29,600 Speaker 4: US policy analyst. BLOOMERIG Intelligence recently hosted its fourth Generative 363 00:18:29,640 --> 00:18:32,800 Speaker 4: Artificial Intelligence conference and there were some great lineups in 364 00:18:32,920 --> 00:18:35,720 Speaker 4: terms of how you apply and make AI for more. 365 00:18:35,760 --> 00:18:38,680 Speaker 2: Alex and I were joined by Jim Stratton Workday, chief 366 00:18:38,720 --> 00:18:42,760 Speaker 2: technology officer the AI platform. Workday trades under the NASDAK 367 00:18:42,840 --> 00:18:44,479 Speaker 2: ticker wday. 368 00:18:44,720 --> 00:18:48,040 Speaker 4: We first asked Jim where workday sits in the AI space. 369 00:18:48,600 --> 00:18:54,600 Speaker 9: Workday builds and deploys and serves enterprise finance and HR 370 00:18:54,840 --> 00:19:02,200 Speaker 9: for major corporations, for state higher ed for large institutions, 371 00:19:02,480 --> 00:19:06,480 Speaker 9: and AI really is built directly into the products that 372 00:19:06,520 --> 00:19:09,520 Speaker 9: we build. So if you think about the different types 373 00:19:09,560 --> 00:19:13,440 Speaker 9: of workflows around running a business, around running a major business, 374 00:19:14,000 --> 00:19:16,879 Speaker 9: all of that is right to be infused with AI 375 00:19:17,160 --> 00:19:20,800 Speaker 9: for automation, for ease of use, and that's really what 376 00:19:20,840 --> 00:19:21,480 Speaker 9: we're building into. 377 00:19:21,480 --> 00:19:24,920 Speaker 2: Pointing now, so to what extent, I guess a lot 378 00:19:24,960 --> 00:19:26,360 Speaker 2: of US lay people we're trying to get a sense 379 00:19:26,400 --> 00:19:28,680 Speaker 2: of this is just the next step in the evolution 380 00:19:28,760 --> 00:19:32,040 Speaker 2: of tech or is AI elite a step function? How 381 00:19:32,040 --> 00:19:35,480 Speaker 2: do you think about the technology of AI, the compute 382 00:19:35,480 --> 00:19:38,199 Speaker 2: that it and the applications coming from that. 383 00:19:38,760 --> 00:19:42,160 Speaker 9: It is the next step really the next evolution and technology. 384 00:19:42,760 --> 00:19:44,680 Speaker 9: But I think the leverage that we can get out 385 00:19:44,720 --> 00:19:46,800 Speaker 9: of AI, it really is a leap in terms of 386 00:19:46,920 --> 00:19:50,840 Speaker 9: it's in exponential growth, in terms of productivity, in terms 387 00:19:50,880 --> 00:19:53,679 Speaker 9: of enhancing humans and the capabilities of what we have 388 00:19:53,760 --> 00:19:56,480 Speaker 9: in the workplace. It really is an exponential leap for 389 00:19:56,600 --> 00:19:58,440 Speaker 9: us in the technology space. 390 00:19:58,560 --> 00:19:59,760 Speaker 4: So give me a use case. So some of your 391 00:19:59,760 --> 00:20:02,119 Speaker 4: client like GE or Visa, right, I come to you 392 00:20:02,119 --> 00:20:03,600 Speaker 4: and say, hey, Jim, what are you going to do 393 00:20:03,680 --> 00:20:06,080 Speaker 4: for me? And how does it help me and make 394 00:20:06,119 --> 00:20:08,240 Speaker 4: me more productive or something along those lines. What does 395 00:20:08,240 --> 00:20:09,119 Speaker 4: that use case look like? 396 00:20:09,320 --> 00:20:11,840 Speaker 9: So if you think about across I'll give you a 397 00:20:11,880 --> 00:20:15,520 Speaker 9: couple examples across HR and finance. So think about the 398 00:20:15,640 --> 00:20:20,119 Speaker 9: recruiting space a talent acquisition. You have in many cases 399 00:20:20,160 --> 00:20:22,760 Speaker 9: thousands of jobs, hundreds of thousands of jobs that are 400 00:20:22,800 --> 00:20:26,320 Speaker 9: open across even just the US. Here within a particular 401 00:20:26,320 --> 00:20:29,760 Speaker 9: company you may be sourcing for you know, ten fifty 402 00:20:29,960 --> 00:20:33,720 Speaker 9: one hundred jobs or literally thousands of jobs across a 403 00:20:33,800 --> 00:20:37,159 Speaker 9: large enterprise, and you're getting in some cases hundreds of thousands, 404 00:20:37,280 --> 00:20:40,560 Speaker 9: millions of resumes into those jobs. Literally that many resumes, 405 00:20:40,640 --> 00:20:43,359 Speaker 9: it's really hard to go through and source that. AI 406 00:20:43,440 --> 00:20:46,520 Speaker 9: is a terrific space, and actually we have a recruiting 407 00:20:46,560 --> 00:20:50,439 Speaker 9: agent out in the market now that helps significantly with 408 00:20:50,520 --> 00:20:53,359 Speaker 9: that sourcing problem in terms of weeding through who are 409 00:20:53,400 --> 00:20:56,160 Speaker 9: the best candidates, what are the best skills, depths of skills, 410 00:20:56,320 --> 00:20:59,040 Speaker 9: even some of those skills are hidden. AI is actually 411 00:20:59,080 --> 00:21:02,040 Speaker 9: really good at map that into a job requisition and saying, 412 00:21:02,080 --> 00:21:04,320 Speaker 9: you know what, these are probably your top ten candidates, 413 00:21:04,359 --> 00:21:06,840 Speaker 9: and then handing that off to a recruiter to then 414 00:21:06,920 --> 00:21:10,960 Speaker 9: go do the human engagement interacting with those candidates and 415 00:21:11,000 --> 00:21:14,280 Speaker 9: finding the best, the best one, the best fit that's 416 00:21:14,320 --> 00:21:16,600 Speaker 9: already out in the market. And we're seeing incredible improvements 417 00:21:16,640 --> 00:21:19,959 Speaker 9: in terms of talent acquisition efficiency, what the recruiters are 418 00:21:20,000 --> 00:21:23,399 Speaker 9: able to source, how quickly they can fill roles. On 419 00:21:23,440 --> 00:21:25,320 Speaker 9: the on the finance side, I'll give you a quick 420 00:21:25,320 --> 00:21:28,720 Speaker 9: example there as well. Our finance teams and every finance 421 00:21:28,720 --> 00:21:31,520 Speaker 9: team at every every major company out there spend tons 422 00:21:31,520 --> 00:21:34,679 Speaker 9: of time pouring over contracts to understand the details in 423 00:21:34,720 --> 00:21:37,880 Speaker 9: those contracts and how that maps directly into their into 424 00:21:37,920 --> 00:21:41,199 Speaker 9: their books, into their financials. AI is fantastic at not 425 00:21:41,240 --> 00:21:44,600 Speaker 9: only extracting information off of contracts, but summarizing that and 426 00:21:44,600 --> 00:21:47,600 Speaker 9: actually directly mapping that back into the gl of a 427 00:21:47,640 --> 00:21:50,439 Speaker 9: company that's also out in the market for us UH 428 00:21:50,720 --> 00:21:52,960 Speaker 9: and and we're seeing great gains in that in terms 429 00:21:52,960 --> 00:21:56,000 Speaker 9: of efficiency of what the legal and finance teams can do. 430 00:21:56,280 --> 00:21:58,320 Speaker 2: So with what love of confidence can you say that 431 00:21:58,640 --> 00:22:01,640 Speaker 2: all this money that's being spent on AI is generating 432 00:22:01,720 --> 00:22:04,320 Speaker 2: a positive return or will generate a positive return in 433 00:22:04,320 --> 00:22:05,040 Speaker 2: a reasonable time. 434 00:22:05,480 --> 00:22:07,639 Speaker 9: Actually, it's a great question. There's a huge amount of 435 00:22:07,640 --> 00:22:10,879 Speaker 9: money that's being spent just on the pure advancement of 436 00:22:11,040 --> 00:22:14,640 Speaker 9: frontier models of really research AI, and we are seeing 437 00:22:14,680 --> 00:22:18,280 Speaker 9: incredible gains in terms of those moving to what we 438 00:22:18,320 --> 00:22:20,960 Speaker 9: call reasoning models, so the ability to actually think through 439 00:22:21,000 --> 00:22:23,960 Speaker 9: a problem in multiple steps and then actually go action 440 00:22:24,040 --> 00:22:26,200 Speaker 9: against that. I think that's going to have really broad 441 00:22:26,240 --> 00:22:29,320 Speaker 9: application across lots of things, not just enterprise software, but 442 00:22:29,760 --> 00:22:32,119 Speaker 9: just how we interact with everything in the world. But 443 00:22:32,359 --> 00:22:36,280 Speaker 9: directly within the enterprise world. We're now very much focused 444 00:22:36,280 --> 00:22:37,760 Speaker 9: and I spent a lot of my time talking with 445 00:22:37,840 --> 00:22:40,800 Speaker 9: CIOs out in the community, and they're thinking about this 446 00:22:40,880 --> 00:22:43,560 Speaker 9: exactly the same way. It is, how do we we've 447 00:22:43,600 --> 00:22:46,440 Speaker 9: already spent a bunch of money trying to trying things out, 448 00:22:46,480 --> 00:22:49,360 Speaker 9: playing around. Now we need to show direct ROI back 449 00:22:49,359 --> 00:22:51,720 Speaker 9: in those investments. And that's the part where we are 450 00:22:51,840 --> 00:22:54,760 Speaker 9: now is the products that are being built. The problems 451 00:22:54,760 --> 00:22:57,960 Speaker 9: that people like Workday, Companies like work Day are focused 452 00:22:58,000 --> 00:23:00,960 Speaker 9: on solving are direct ROI. How do we get efficiency 453 00:23:01,000 --> 00:23:03,080 Speaker 9: back into the business. How do we reduce risk in 454 00:23:03,119 --> 00:23:05,960 Speaker 9: the business. Those are the primary areas where we're going now. 455 00:23:06,280 --> 00:23:09,800 Speaker 2: Thanks to Jim Stratton, Workday's chief technology officer. 456 00:23:09,560 --> 00:23:11,240 Speaker 4: Coming up on the program, We're going to break down 457 00:23:11,240 --> 00:23:14,320 Speaker 4: how drug makers are being impacted by policy in Washington, DC. 458 00:23:14,640 --> 00:23:17,359 Speaker 2: You're listening to the Bloomberg Intelligence on Bloomberg Radio, providing 459 00:23:17,359 --> 00:23:19,760 Speaker 2: in depth research and data on two thousand companies and 460 00:23:19,760 --> 00:23:22,720 Speaker 2: one hundred and thirty industries. You can access Bloomberg Intelligence 461 00:23:22,800 --> 00:23:24,080 Speaker 2: via Bigo on the terminal. 462 00:23:24,200 --> 00:23:27,160 Speaker 4: I'm Paul Sweeney and am Alex Steele, and this is Bloomberg. 463 00:23:34,720 --> 00:23:38,640 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch the program 464 00:23:38,720 --> 00:23:42,160 Speaker 1: live weekdays at ten am Eastern on Applecarplay and Android 465 00:23:42,160 --> 00:23:45,159 Speaker 1: Auto with the Bloomberg Business app. You can also listen 466 00:23:45,240 --> 00:23:48,520 Speaker 1: live on Amazon Alexa from our flagship New York station 467 00:23:49,040 --> 00:23:51,720 Speaker 1: Just say Alexa play Bloomberg, eleven thirty. 468 00:23:52,640 --> 00:23:54,960 Speaker 4: We move next to the drug and pharmaceutical space. 469 00:23:55,000 --> 00:23:57,639 Speaker 2: The Trump administration recently rejected a plan to pay for 470 00:23:57,720 --> 00:23:59,200 Speaker 2: OBCD drugs for Medicare. 471 00:23:59,200 --> 00:24:02,520 Speaker 4: Patients may now need to rely on Congress to expand 472 00:24:02,520 --> 00:24:06,120 Speaker 4: OBC drug coverage, with a potential scale down expansion possibly 473 00:24:06,160 --> 00:24:07,960 Speaker 4: emerging in a future Republican bill. 474 00:24:08,240 --> 00:24:10,080 Speaker 2: For more on this and the latest news in the 475 00:24:10,119 --> 00:24:13,160 Speaker 2: obesity drug space, we were joined by Sam Fazzelli, Bloomberg Intelligence, 476 00:24:13,280 --> 00:24:16,560 Speaker 2: Director of Research for Global Industries and senior pharmaceuticals analysts. 477 00:24:16,640 --> 00:24:19,760 Speaker 4: We first asked Sam how President Trump projecting obesity coverage 478 00:24:19,760 --> 00:24:20,800 Speaker 4: impacts that market. 479 00:24:21,160 --> 00:24:23,200 Speaker 10: Of course, what happened is that this has been something 480 00:24:23,240 --> 00:24:27,240 Speaker 10: that was put together in the Biden era in terms 481 00:24:27,280 --> 00:24:31,520 Speaker 10: of trying to get Medicare coverage for these obesity drugs. Remember, 482 00:24:31,920 --> 00:24:34,359 Speaker 10: medicare are folks that are over sixty five years old 483 00:24:35,160 --> 00:24:37,840 Speaker 10: and more likely to be overweight. 484 00:24:38,080 --> 00:24:39,480 Speaker 6: Not necessarily right. 485 00:24:39,800 --> 00:24:41,960 Speaker 10: But more likely to be overweight and more likely to 486 00:24:42,040 --> 00:24:44,720 Speaker 10: have issues to do with overweight. 487 00:24:45,920 --> 00:24:46,760 Speaker 6: So it's a. 488 00:24:46,760 --> 00:24:51,480 Speaker 10: Very important group of individuals to have this products available for. 489 00:24:52,119 --> 00:24:53,960 Speaker 10: But I think there is a general sense and I 490 00:24:53,960 --> 00:24:55,960 Speaker 10: think we had expected this, So this is not an 491 00:24:56,040 --> 00:25:02,160 Speaker 10: unexpected outcome that the Secretary of the HHS Human Health 492 00:25:02,200 --> 00:25:05,719 Speaker 10: Services in the US is not necessarily a fan of 493 00:25:06,480 --> 00:25:10,840 Speaker 10: obesity drugs. However, there's a little aspect here that's important. 494 00:25:11,359 --> 00:25:14,359 Speaker 10: These drugs are also covered by Medicare for those who 495 00:25:14,400 --> 00:25:20,239 Speaker 10: suffer from sleep apnea and cardiovascular morbidities, those indications, and 496 00:25:20,359 --> 00:25:23,160 Speaker 10: that usage has not been withdrawn. It's just the use 497 00:25:23,200 --> 00:25:26,399 Speaker 10: for obesity that's been withdrawn or at least is not 498 00:25:26,480 --> 00:25:27,600 Speaker 10: being proposed anymore. 499 00:25:28,160 --> 00:25:30,520 Speaker 4: So what I mean, can that be real? That doesn't 500 00:25:30,520 --> 00:25:33,120 Speaker 4: make any sense to me, And like, the whole point 501 00:25:33,119 --> 00:25:36,479 Speaker 4: of these drugs is to help obesity. How are they 502 00:25:36,480 --> 00:25:37,600 Speaker 4: going to keep that distinction? 503 00:25:39,480 --> 00:25:42,960 Speaker 10: Yeah, but Alex, not that I'd like to necessarily agree 504 00:25:42,960 --> 00:25:44,840 Speaker 10: with the kind of decisions that are being made or 505 00:25:44,840 --> 00:25:48,240 Speaker 10: disagree with them. If you think about it, if everybody 506 00:25:48,320 --> 00:25:53,720 Speaker 10: who has a comorbidity, for example, cardiovascular disease, kidney disease, 507 00:25:54,359 --> 00:25:56,760 Speaker 10: sleep apnea, and the only people who are not going 508 00:25:56,800 --> 00:25:58,439 Speaker 10: to be able to get it other people who just 509 00:25:58,520 --> 00:26:02,359 Speaker 10: overweight nothing else, that's a little bit easier to swallow 510 00:26:02,400 --> 00:26:04,040 Speaker 10: than if they were they said, Okay, we're just going 511 00:26:04,080 --> 00:26:07,840 Speaker 10: to ban it. Because those elements of protecting patients that 512 00:26:08,040 --> 00:26:11,280 Speaker 10: is important for health. Now, if these other obius people 513 00:26:11,760 --> 00:26:15,040 Speaker 10: ended up the ones who are now not being included, 514 00:26:15,200 --> 00:26:19,000 Speaker 10: just obs and no comobidities having one of these issues, 515 00:26:19,000 --> 00:26:19,880 Speaker 10: they would be included. 516 00:26:20,640 --> 00:26:21,720 Speaker 6: So I think the. 517 00:26:21,760 --> 00:26:24,920 Speaker 10: Issue here is some folks believe that all of these 518 00:26:24,960 --> 00:26:28,399 Speaker 10: things should be solved by eating better. Of course, we 519 00:26:28,480 --> 00:26:30,639 Speaker 10: all want to do that and not eating too. 520 00:26:30,520 --> 00:26:31,560 Speaker 6: Much, et cetera, et cetera. 521 00:26:32,000 --> 00:26:35,760 Speaker 10: However, society shows us that that's clearly not possible for 522 00:26:35,800 --> 00:26:37,280 Speaker 10: a lot of people, and they end up in a 523 00:26:37,280 --> 00:26:40,000 Speaker 10: situation where they gain weight and they put in more 524 00:26:40,119 --> 00:26:43,639 Speaker 10: energy and then they spend That's where the problems arise. 525 00:26:43,880 --> 00:26:46,680 Speaker 10: But so I don't think it's really as bad as 526 00:26:46,720 --> 00:26:48,480 Speaker 10: it sounds when you first look at it. 527 00:26:48,880 --> 00:26:53,080 Speaker 2: Novo Nordisk is down. Is that just the obesity play 528 00:26:53,240 --> 00:26:54,840 Speaker 2: unwinding for this name. 529 00:26:55,480 --> 00:26:57,919 Speaker 10: Well, you would think to yourself, but why would it 530 00:26:58,000 --> 00:27:00,160 Speaker 10: for this name and not for Eeli living right. We've 531 00:27:00,160 --> 00:27:03,000 Speaker 10: always believed that Lily obviously has a lot more going on, 532 00:27:03,119 --> 00:27:06,159 Speaker 10: but we all know that Lily is particularly driven with 533 00:27:06,200 --> 00:27:07,360 Speaker 10: the obesity aspect. 534 00:27:07,640 --> 00:27:10,000 Speaker 6: We also know that the obesity. 535 00:27:09,560 --> 00:27:14,080 Speaker 10: Drug from Lily, zip Bound, has outperformed NOVAL noticsts Bigov. 536 00:27:14,720 --> 00:27:17,560 Speaker 10: We also know that Novo Nordics is based in Denmark, 537 00:27:17,600 --> 00:27:20,920 Speaker 10: and there's this fight going on between or at least 538 00:27:20,920 --> 00:27:25,000 Speaker 10: a heated conversations going on between the US administration and 539 00:27:25,040 --> 00:27:28,520 Speaker 10: the and the Denmark Danish authorities. So I think you 540 00:27:28,560 --> 00:27:30,440 Speaker 10: can pilo these things up on top of each other 541 00:27:30,440 --> 00:27:32,520 Speaker 10: and worry about NOVO more than you would about. 542 00:27:33,880 --> 00:27:36,199 Speaker 4: All right, fair enough, what about the rest of the sector. 543 00:27:36,560 --> 00:27:37,520 Speaker 3: What are what are some. 544 00:27:37,600 --> 00:27:38,800 Speaker 4: Themes that are on your mind? 545 00:27:40,320 --> 00:27:43,680 Speaker 10: Yeah, so vaccines continue to be a theme on our mind, which, 546 00:27:43,720 --> 00:27:47,359 Speaker 10: of course there there's there's always words that get that 547 00:27:47,440 --> 00:27:51,760 Speaker 10: are spoken or statements that are written that seem to suggest. 548 00:27:51,400 --> 00:27:52,560 Speaker 6: That vaccines are a good thing. 549 00:27:52,840 --> 00:27:55,919 Speaker 10: MMR is a good way of stopping measles, But they 550 00:27:55,920 --> 00:27:57,600 Speaker 10: don't say you got to go out there. 551 00:27:57,520 --> 00:27:59,280 Speaker 6: And get it. That's what's missing. 552 00:27:59,560 --> 00:28:01,480 Speaker 10: On the other hand, we also have an issue with 553 00:28:01,600 --> 00:28:06,160 Speaker 10: regards to what I feel like is a I don't 554 00:28:06,160 --> 00:28:09,080 Speaker 10: want to call it an attack, but an undermining of 555 00:28:09,160 --> 00:28:12,399 Speaker 10: research in areas which are infectious diseases, which I just 556 00:28:12,440 --> 00:28:16,480 Speaker 10: do not understand why a tuber closest expert would lose 557 00:28:16,520 --> 00:28:20,600 Speaker 10: their funding. These are not diseases that no virus has 558 00:28:20,640 --> 00:28:25,400 Speaker 10: been annihilated. Maybe smallpox, but I think if you think 559 00:28:25,400 --> 00:28:27,639 Speaker 10: about it, measles, we didn't have any debts. 560 00:28:27,640 --> 00:28:28,360 Speaker 6: We have them now. 561 00:28:28,560 --> 00:28:30,560 Speaker 10: As soon as you let your guard down a little bit, 562 00:28:31,040 --> 00:28:33,720 Speaker 10: it all explodes. So that is I am worried about 563 00:28:33,720 --> 00:28:36,720 Speaker 10: that because I love the United States, I love coming there, 564 00:28:36,920 --> 00:28:40,400 Speaker 10: and that is something that clearly is a worrisome aspect 565 00:28:40,400 --> 00:28:40,640 Speaker 10: for me. 566 00:28:40,840 --> 00:28:43,360 Speaker 2: Is it shared to any extent in Europe? 567 00:28:43,440 --> 00:28:44,840 Speaker 6: Sam Oh? 568 00:28:45,000 --> 00:28:50,560 Speaker 10: I mean, of course vaccine hesitancy isn't a specific US issue. 569 00:28:50,920 --> 00:28:53,080 Speaker 10: The thing is that what you don't want is that 570 00:28:53,120 --> 00:28:57,440 Speaker 10: hesitancy to be fed from top healthcare efficients. 571 00:28:57,720 --> 00:29:00,000 Speaker 6: Over Here we have that hesitancy. 572 00:29:00,120 --> 00:29:03,400 Speaker 10: Don't forget the person who put together the MMR study 573 00:29:03,480 --> 00:29:08,720 Speaker 10: for and the discredited MMR study and Autism Link is 574 00:29:08,720 --> 00:29:13,760 Speaker 10: a UK individual but that's been discredited. But the UK 575 00:29:14,840 --> 00:29:18,640 Speaker 10: government and health services have continued to push that this 576 00:29:18,800 --> 00:29:22,000 Speaker 10: is the best way to get folks protected. 577 00:29:23,240 --> 00:29:25,680 Speaker 6: So it's not. Hesitancy is not just a US issue, 578 00:29:25,680 --> 00:29:28,600 Speaker 6: it's everywhere. What you need is health officials to be pushing. 579 00:29:28,320 --> 00:29:30,960 Speaker 2: It our Thanks to Sam Fazelli, Bloomberg Intelligence, Director of 580 00:29:31,000 --> 00:29:33,920 Speaker 2: Research for Global Industries and senior pharmaceuticals analyst. 581 00:29:34,200 --> 00:29:35,760 Speaker 4: We move next to the banking sector. 582 00:29:36,000 --> 00:29:38,640 Speaker 2: Wells Fargo recently became the first bank to abandon its 583 00:29:38,680 --> 00:29:41,760 Speaker 2: climate goals as political sentiment in Washington, DC shifts. 584 00:29:41,880 --> 00:29:44,480 Speaker 4: The firm's abandonment of net zero finance and mission goals 585 00:29:44,480 --> 00:29:46,920 Speaker 4: puts around five times of one percent of its market 586 00:29:46,960 --> 00:29:49,600 Speaker 4: value held by ESG and climate funds at risk should 587 00:29:49,640 --> 00:29:51,480 Speaker 4: investors choose to divest. 588 00:29:51,200 --> 00:29:53,160 Speaker 2: And for more, we were joined by Shaheen Contract of 589 00:29:53,160 --> 00:29:57,080 Speaker 2: Bloomberg Intelligence. Senior ESG strategist refers to ask Shaheen for 590 00:29:57,120 --> 00:29:58,840 Speaker 2: more context on what Wells Fargo did. 591 00:29:59,120 --> 00:30:03,680 Speaker 11: So, wes Fargo abandoned its climate financing goal in particular, 592 00:30:03,720 --> 00:30:06,880 Speaker 11: So that's the emissions from its loan book. Typically it's 593 00:30:06,920 --> 00:30:10,680 Speaker 11: a much bigger emissions chunk than it's sort of operations. 594 00:30:10,680 --> 00:30:12,440 Speaker 11: So just to give you a sense of scale, it's 595 00:30:12,480 --> 00:30:15,760 Speaker 11: about let'ld say ninety five percent of its total emissions. 596 00:30:16,000 --> 00:30:19,640 Speaker 11: So that's what well Fago did. Other banks like HSBC 597 00:30:20,040 --> 00:30:23,920 Speaker 11: have delayed their operational emissions. Again that's about five percent, 598 00:30:23,960 --> 00:30:25,440 Speaker 11: So that's a much smaller piece. 599 00:30:25,680 --> 00:30:28,680 Speaker 4: So how do we distinguish between, you know, headlines where 600 00:30:28,680 --> 00:30:31,600 Speaker 4: it's like forgetting climate goals and just sort of changing 601 00:30:31,600 --> 00:30:33,640 Speaker 4: climate goals for some of these things. 602 00:30:33,760 --> 00:30:36,440 Speaker 11: Well, you have to dig in. I think it's the 603 00:30:36,520 --> 00:30:41,920 Speaker 11: difference is again that operation versus financed. It's not as 604 00:30:42,400 --> 00:30:45,600 Speaker 11: how do I say this as binary? Binary as like 605 00:30:45,720 --> 00:30:48,360 Speaker 11: diversity where they can dilute the language a little bit. 606 00:30:48,480 --> 00:30:50,000 Speaker 11: Carbon goales are either there or not there. 607 00:30:50,560 --> 00:30:51,800 Speaker 3: It is actually binary. 608 00:30:52,120 --> 00:30:54,479 Speaker 2: Are they walking away? Are they saying, we're not going 609 00:30:54,520 --> 00:30:58,560 Speaker 2: to restrict our lending to companies that have to fossil 610 00:30:58,560 --> 00:31:00,000 Speaker 2: fuel companies. We're not going to do that anyway. 611 00:31:00,080 --> 00:31:02,360 Speaker 11: Correct, So that's in a way what they're saying, because 612 00:31:02,640 --> 00:31:04,960 Speaker 11: what a finance goal would mean is we're going to 613 00:31:05,000 --> 00:31:07,360 Speaker 11: reduce the emissions small loone book from X to Z, 614 00:31:07,880 --> 00:31:11,320 Speaker 11: and that would probably come with reducing to these sectors. 615 00:31:11,800 --> 00:31:15,880 Speaker 2: Okay, now, what's JP Morgan, whatis City? What's Bank of America? 616 00:31:15,960 --> 00:31:16,160 Speaker 6: Said? 617 00:31:17,040 --> 00:31:21,400 Speaker 11: Nothing yet so far, so they have exited the nets 618 00:31:21,560 --> 00:31:25,600 Speaker 11: zero Alliance. That being said, they've still been on track 619 00:31:25,680 --> 00:31:28,920 Speaker 11: with their goals. They've still reduced to missions that is 620 00:31:28,960 --> 00:31:31,800 Speaker 11: in line with their targets. What's also interesting is West 621 00:31:31,800 --> 00:31:34,800 Speaker 11: Fago has also done that, but it's still abandoned its goals. 622 00:31:34,880 --> 00:31:36,800 Speaker 11: So what's to come We'll see. 623 00:31:36,560 --> 00:31:39,760 Speaker 4: What's interesting talking about abandoning goals like Airbus was just 624 00:31:39,800 --> 00:31:42,000 Speaker 4: saying that they still want to get to that net 625 00:31:42,120 --> 00:31:45,280 Speaker 4: zero by twenty fifty, but they're constrained by like infrastructure 626 00:31:45,360 --> 00:31:48,120 Speaker 4: and technology, et cetera. How much of that is wrapped 627 00:31:48,120 --> 00:31:50,640 Speaker 4: into the conversation, how much of that is aploaded not them? 628 00:31:51,240 --> 00:31:54,040 Speaker 11: So west Fago and his statement actually said that they 629 00:31:54,120 --> 00:31:57,520 Speaker 11: attribute this to changing custom behavior, to politics, to a 630 00:31:57,880 --> 00:32:02,120 Speaker 11: number of things. However, given that they're quite on track 631 00:32:02,200 --> 00:32:04,880 Speaker 11: to achieving this goal, which is also an analysis we've done, 632 00:32:04,960 --> 00:32:06,600 Speaker 11: we've attributed it to politics. 633 00:32:07,360 --> 00:32:09,960 Speaker 2: So the politics in the US are different from the 634 00:32:10,000 --> 00:32:14,480 Speaker 2: politics obviously in Europe for example. So are we seeing 635 00:32:14,520 --> 00:32:18,760 Speaker 2: any of the big European companies or sectors of companies 636 00:32:19,000 --> 00:32:23,480 Speaker 2: walk back some of the ESG goals so in a. 637 00:32:23,560 --> 00:32:27,320 Speaker 11: Much smaller way, yes, So again HSBC and UBS have 638 00:32:27,520 --> 00:32:31,600 Speaker 11: delayed their operational missions goal. Again, that's I would call 639 00:32:31,640 --> 00:32:34,800 Speaker 11: that almost insignificant for a bank. So they have the 640 00:32:34,840 --> 00:32:38,400 Speaker 11: bigger pieces of financed mission goals, which we'll see. 641 00:32:38,520 --> 00:32:41,160 Speaker 2: So if I'm a shareholder, if I'm an ESG fund 642 00:32:41,600 --> 00:32:43,960 Speaker 2: and I own Wells fargar, do I just sell my 643 00:32:44,000 --> 00:32:44,680 Speaker 2: position here? 644 00:32:45,040 --> 00:32:47,960 Speaker 11: So it could be at risk. Yes, I mean climate 645 00:32:48,200 --> 00:32:52,000 Speaker 11: is quite high up in ESG funds agenda, and we've 646 00:32:52,000 --> 00:32:55,480 Speaker 11: done the analysis. So for Wells Fargo, about zero point 647 00:32:55,640 --> 00:32:58,120 Speaker 11: five percent of its market value is held in these 648 00:32:58,360 --> 00:33:02,640 Speaker 11: ESG and climate funds. Honestly quite small, right, So the 649 00:33:02,760 --> 00:33:04,800 Speaker 11: risk lies in other more expost peers. 650 00:33:05,120 --> 00:33:07,040 Speaker 2: So just give me a sense once again. I know 651 00:33:07,080 --> 00:33:09,720 Speaker 2: we've gone over this number million times how much money 652 00:33:09,840 --> 00:33:11,760 Speaker 2: is in ESG funds roughly. 653 00:33:12,120 --> 00:33:14,760 Speaker 11: So if we look at ETFs, which is the analysis 654 00:33:14,800 --> 00:33:17,560 Speaker 11: I've done, it's about I would say, close to six 655 00:33:17,680 --> 00:33:18,880 Speaker 11: hundred billion. 656 00:33:19,000 --> 00:33:19,120 Speaker 6: Ok. 657 00:33:19,360 --> 00:33:21,320 Speaker 11: Now, let me go back. So I did this analysis 658 00:33:21,320 --> 00:33:23,880 Speaker 11: two years back. At that point, all ESG label funds 659 00:33:23,960 --> 00:33:26,280 Speaker 11: was about two point three trillion. So that's to give 660 00:33:26,280 --> 00:33:27,120 Speaker 11: you a sense of scale. 661 00:33:27,160 --> 00:33:31,880 Speaker 2: Now that's really fine in funds funds flowing out of ESG. 662 00:33:32,240 --> 00:33:34,640 Speaker 11: No, sorry, So I go back to the two point 663 00:33:34,640 --> 00:33:37,800 Speaker 11: three trillion number, which is all ESG funds. The atfs 664 00:33:37,800 --> 00:33:41,840 Speaker 11: are much smaller share, So I would say that we've 665 00:33:41,840 --> 00:33:43,880 Speaker 11: not done that analysis more recently, but it is two 666 00:33:43,920 --> 00:33:46,480 Speaker 11: point three trillion is quite large substantial share. 667 00:33:46,680 --> 00:33:46,880 Speaker 6: Yep. 668 00:33:47,200 --> 00:33:50,560 Speaker 4: When you talk about the amount of assets that are 669 00:33:50,560 --> 00:33:53,680 Speaker 4: in broader funds, not just ETFs, which is broader funds. 670 00:33:53,760 --> 00:33:55,960 Speaker 3: What the numbers that we're talking about here, So that. 671 00:33:55,960 --> 00:33:58,240 Speaker 11: Will be the two point three trillion that I mentioned. 672 00:33:58,240 --> 00:34:01,120 Speaker 11: So this is all funds with words, yes, she climate, 673 00:34:01,320 --> 00:34:01,760 Speaker 11: et cetera. 674 00:34:01,920 --> 00:34:02,560 Speaker 3: Yeah. 675 00:34:02,600 --> 00:34:05,120 Speaker 11: I would say a lot of those funds are changing names, so. 676 00:34:05,720 --> 00:34:07,040 Speaker 4: Okay, so we don't know if they're going to be 677 00:34:07,120 --> 00:34:08,759 Speaker 4: labeled that later on down the road. 678 00:34:08,800 --> 00:34:11,840 Speaker 3: Okay, okay, what's your biggest call for this industry for 679 00:34:11,880 --> 00:34:12,239 Speaker 3: this year? 680 00:34:12,239 --> 00:34:13,560 Speaker 4: Like, what do you think the biggest change is going 681 00:34:13,640 --> 00:34:13,799 Speaker 4: to be? 682 00:34:14,040 --> 00:34:16,640 Speaker 11: I think, given the recent headlines, I think a lot 683 00:34:16,680 --> 00:34:19,600 Speaker 11: of it is divestment tists, which I don't think people realize. 684 00:34:19,640 --> 00:34:22,360 Speaker 11: I don't think people realize ESG investor base that is 685 00:34:22,360 --> 00:34:24,880 Speaker 11: in a company. So if a company is like State Street, 686 00:34:24,920 --> 00:34:25,920 Speaker 11: for example. 687 00:34:25,560 --> 00:34:26,040 Speaker 6: They've. 688 00:34:27,400 --> 00:34:31,000 Speaker 11: Acts the diversity policyes the example, and three percent, well 689 00:34:31,560 --> 00:34:34,040 Speaker 11: up to three percent of their investor base is actually 690 00:34:34,080 --> 00:34:39,000 Speaker 11: in ESG funds. So I would say that's quite an exposure. 691 00:34:38,920 --> 00:34:44,200 Speaker 4: Our Thanks to Shieting contractor, Bloomberg Intelligence senior ESG strategist. 692 00:34:43,400 --> 00:34:48,080 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 693 00:34:48,280 --> 00:34:51,759 Speaker 1: and anywhere else you get your podcasts. Listen live each 694 00:34:51,760 --> 00:34:55,480 Speaker 1: weekday ten am to noon Eastern on Bloomberg dot com, 695 00:34:55,640 --> 00:34:59,200 Speaker 1: the iHeartRadio app tune In, and the Bloomberg Business app. 696 00:34:59,560 --> 00:35:02,040 Speaker 1: You can a so watch us live every weekday on 697 00:35:02,080 --> 00:35:05,160 Speaker 1: YouTube and always on the Bloomberg terminal