1 00:00:02,560 --> 00:00:07,040 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:08,800 --> 00:00:13,240 Speaker 2: Bradstone, Max Chafkin, you speak to CEOs all the time 3 00:00:13,360 --> 00:00:16,440 Speaker 2: in your capacity as editor of Bloomberg BusinessWeek. Is there 4 00:00:16,480 --> 00:00:21,200 Speaker 2: a vibe shift? Are the CEOs feeling more down than usual? Max? 5 00:00:21,320 --> 00:00:22,240 Speaker 3: They're tired. 6 00:00:22,720 --> 00:00:27,160 Speaker 4: The job of CEO has become exhausting due to the 7 00:00:27,320 --> 00:00:30,720 Speaker 4: chaos of tariffs and the war, and oil shocks and 8 00:00:30,800 --> 00:00:33,920 Speaker 4: of course AI and dealing with this White House. The 9 00:00:34,080 --> 00:00:38,000 Speaker 4: job of CEO, despite the large paycheck, is becoming stressful. 10 00:00:38,200 --> 00:00:41,440 Speaker 2: I didn't know workers could become tired. That's very interesting, Brad. 11 00:00:41,800 --> 00:00:46,240 Speaker 2: We all have our limits from Bloomberg BusinessWeek. This is 12 00:00:46,280 --> 00:00:48,360 Speaker 2: everybody's business. I'm Max Chafkin, and. 13 00:00:48,320 --> 00:00:51,800 Speaker 4: I'm Bradstone and for Stacy Vanox Smith, and this is 14 00:00:51,800 --> 00:00:53,160 Speaker 4: what we're going to get into this week. 15 00:00:53,200 --> 00:00:56,640 Speaker 2: Two stories that look at both the inside and the outside, 16 00:00:56,920 --> 00:00:59,400 Speaker 2: the up and the down of being a CEO. Now, 17 00:00:59,760 --> 00:01:02,440 Speaker 2: for we have the business of weight loss, it is huge, 18 00:01:02,520 --> 00:01:06,520 Speaker 2: that's the upside. ELI Lily has catapulted to a trillion 19 00:01:06,560 --> 00:01:07,480 Speaker 2: dollar valuation. 20 00:01:08,000 --> 00:01:12,000 Speaker 4: And while these CEOs are managing their eyewatering profits, well, 21 00:01:12,000 --> 00:01:14,320 Speaker 4: look at what their workers think. 22 00:01:14,120 --> 00:01:15,600 Speaker 3: About those that run their companies. 23 00:01:16,120 --> 00:01:23,400 Speaker 2: News Flash folks, it's not that good. Brad. You had 24 00:01:23,520 --> 00:01:27,840 Speaker 2: your hands all over this big cover story that just 25 00:01:27,880 --> 00:01:30,320 Speaker 2: went out as we're recording this. It's about Eli Lilly, 26 00:01:30,440 --> 00:01:34,840 Speaker 2: the pharmaceutical company that has basically just been on a roll, 27 00:01:35,319 --> 00:01:40,240 Speaker 2: thanks largely to the popularity of its blockbuster GLP one drug, 28 00:01:40,480 --> 00:01:44,280 Speaker 2: zep Bound. Can you just just real quick explain why 29 00:01:44,360 --> 00:01:45,520 Speaker 2: this story right now? 30 00:01:46,040 --> 00:01:47,600 Speaker 4: Well, I mean, first of all, Max, I don't know 31 00:01:47,600 --> 00:01:51,280 Speaker 4: if you've consulted your Bloomberg terminal recently, but Eli Lilly 32 00:01:51,640 --> 00:01:54,920 Speaker 4: is worth over a trillion dollars. It's plugged directly into 33 00:01:54,960 --> 00:01:57,080 Speaker 4: my brain, right, so you might want to look that 34 00:01:57,200 --> 00:01:59,760 Speaker 4: at that and look, I mean that is largely on 35 00:01:59,800 --> 00:02:03,720 Speaker 4: the strength of it's anti obesity drugs zebound de Moncharro 36 00:02:03,920 --> 00:02:07,840 Speaker 4: for diabetes. But there's a reason why pharmaceutical companies aren't 37 00:02:07,960 --> 00:02:12,799 Speaker 4: valued this highly. Patents expire, competition comes in prices fall, 38 00:02:13,200 --> 00:02:17,000 Speaker 4: and so Madison Muller, my colleague, and I visited Eli 39 00:02:17,080 --> 00:02:20,760 Speaker 4: Lilly's headquarters in Indianapolis to talk to Dave Rix, the CEO, 40 00:02:21,200 --> 00:02:24,200 Speaker 4: to ask him how he was going to extend this 41 00:02:24,520 --> 00:02:27,080 Speaker 4: amazing run into the future. 42 00:02:27,320 --> 00:02:29,600 Speaker 2: I can't believe you mentioned, Madison Muller that's such a 43 00:02:29,639 --> 00:02:32,080 Speaker 2: coincidence because we have her in the studio with us 44 00:02:32,280 --> 00:02:32,639 Speaker 2: right now. 45 00:02:32,720 --> 00:02:34,679 Speaker 5: Hey Madison, Hey, thanks for having me. 46 00:02:35,240 --> 00:02:38,480 Speaker 2: Madison is a health reporter at Bloomberg. Madison, Welcome to 47 00:02:38,480 --> 00:02:41,440 Speaker 2: everybody's business. I'm very excited to be here. All right. 48 00:02:42,000 --> 00:02:45,440 Speaker 2: How did Lily wind up in this position? Because I 49 00:02:45,480 --> 00:02:47,520 Speaker 2: think when most people and I think, what I went 50 00:02:47,760 --> 00:02:49,880 Speaker 2: into in my own mind with a question going to 51 00:02:49,919 --> 00:02:52,600 Speaker 2: the story was like, I've heard of ozempic. You would 52 00:02:52,639 --> 00:02:56,880 Speaker 2: imagine that the maker of ozempic, Novodorsk. I guess ozempic. 53 00:02:57,240 --> 00:03:00,280 Speaker 2: The other one is called we Go be right, lots 54 00:03:00,280 --> 00:03:03,160 Speaker 2: of them now, but you would think, Okay, that's going 55 00:03:03,240 --> 00:03:05,440 Speaker 2: to be the one to win this market. That has 56 00:03:05,520 --> 00:03:09,239 Speaker 2: not happened. It's this other company, Lily, this American pharmaceutical 57 00:03:09,320 --> 00:03:13,239 Speaker 2: company that has, like Brad said, the mega market share. 58 00:03:13,600 --> 00:03:16,480 Speaker 2: It's even getting you know, name recognition and things like that. 59 00:03:16,919 --> 00:03:17,600 Speaker 2: What happened. 60 00:03:17,840 --> 00:03:20,480 Speaker 1: Yeah, I mean, it's interesting in the world of pharma, 61 00:03:20,639 --> 00:03:24,079 Speaker 1: having the first mover advantage is not always what ends 62 00:03:24,160 --> 00:03:25,880 Speaker 1: up making someone win in the end. 63 00:03:26,240 --> 00:03:27,840 Speaker 5: So Lily kind of came from behind. 64 00:03:27,880 --> 00:03:30,960 Speaker 1: We say that they fell backward into the obesity drug business. 65 00:03:31,120 --> 00:03:34,040 Speaker 1: Lily and Novo have been rivals for like a century. 66 00:03:34,320 --> 00:03:36,800 Speaker 1: Both of them were making insulin at the very beginning, 67 00:03:36,960 --> 00:03:39,120 Speaker 1: so they have this long storied right. 68 00:03:39,520 --> 00:03:41,640 Speaker 2: In being a GLP one. Right, it's not. 69 00:03:41,600 --> 00:03:44,320 Speaker 1: A geo pepize, but it is. It is a peptide exactly, 70 00:03:44,520 --> 00:03:48,640 Speaker 1: that is correct. They've been competing for a very long time. 71 00:03:48,920 --> 00:03:51,720 Speaker 1: One would iterate the other, one, you know, would come next, 72 00:03:51,760 --> 00:03:53,720 Speaker 1: sort of out innovate each other for years and years 73 00:03:53,760 --> 00:03:57,200 Speaker 1: and years in this road of making better insulins, better 74 00:03:57,280 --> 00:03:58,520 Speaker 1: drugs for diabetics. 75 00:03:58,920 --> 00:03:59,840 Speaker 5: Both of them in. 76 00:03:59,760 --> 00:04:03,880 Speaker 1: Like the late eighties early nineties stumbled into GLP one's. 77 00:04:04,480 --> 00:04:07,120 Speaker 1: GLP one is a gut hormone that these drugs mimic. 78 00:04:07,280 --> 00:04:10,640 Speaker 1: You know, when this gut hormone is activated, it makes 79 00:04:10,680 --> 00:04:13,440 Speaker 1: you less hungry, it makes you feel satisfied, makes you 80 00:04:13,520 --> 00:04:15,520 Speaker 1: eat less. And that's why it's been such a great 81 00:04:15,560 --> 00:04:19,040 Speaker 1: option for losing weight. I mean, both companies sort of 82 00:04:19,520 --> 00:04:23,200 Speaker 1: didn't believe in weight loss, didn't believe obesity was a disease. 83 00:04:23,360 --> 00:04:26,120 Speaker 1: But there were more resources at Novo that were dedicated 84 00:04:26,160 --> 00:04:29,320 Speaker 1: to this whole GLP one thing, whereas at Lily it 85 00:04:29,440 --> 00:04:32,160 Speaker 1: sort of fell out of scope. So Novo was able 86 00:04:32,160 --> 00:04:34,000 Speaker 1: to forge ahead and they were able to bring the 87 00:04:34,000 --> 00:04:37,200 Speaker 1: first weight loss GLP one to the market, and they 88 00:04:37,240 --> 00:04:41,520 Speaker 1: really were able to have that first mover advantage. However, 89 00:04:41,800 --> 00:04:44,839 Speaker 1: Lily came sort of from behind. They were the underdogs. 90 00:04:44,880 --> 00:04:46,600 Speaker 1: They were like, we've got to get back in this 91 00:04:46,680 --> 00:04:50,839 Speaker 1: and they went really fast and were able to develop 92 00:04:50,839 --> 00:04:52,880 Speaker 1: a drug that was actually a little bit more effective 93 00:04:53,000 --> 00:04:54,320 Speaker 1: than what Nova was doing. 94 00:04:54,880 --> 00:04:56,720 Speaker 4: Madison, I think you put your finger on something that's 95 00:04:56,800 --> 00:04:59,880 Speaker 4: very important, which is that Eli Lilly really came up 96 00:04:59,880 --> 00:05:02,760 Speaker 4: with just a better medicine. And part of the story 97 00:05:03,320 --> 00:05:06,479 Speaker 4: is telling we tell the tale of Dave Rix's right 98 00:05:06,480 --> 00:05:10,039 Speaker 4: hand guy basically at Eli Lilly, Dan Skavronsky, the chief 99 00:05:10,080 --> 00:05:13,359 Speaker 4: science officer, and how he really discovered in clinical trials 100 00:05:13,760 --> 00:05:16,839 Speaker 4: that trizeppetites were performing better than semaglue tides. 101 00:05:17,440 --> 00:05:20,839 Speaker 1: Yeah, it was shortly after Dave Rix became CEO and 102 00:05:20,960 --> 00:05:23,160 Speaker 1: he was like, we need to come up with something 103 00:05:23,200 --> 00:05:26,360 Speaker 1: better than what Novo's doing. He sent his top scientist, 104 00:05:26,480 --> 00:05:30,919 Speaker 1: Dan Skavronsky, hunting for the best science, the most promising science, 105 00:05:30,960 --> 00:05:35,120 Speaker 1: and pretty quickly found in early trials that this drug 106 00:05:35,440 --> 00:05:38,320 Speaker 1: was making people lose so much weight they were dropping 107 00:05:38,320 --> 00:05:41,960 Speaker 1: out and they were like something is, something interesting is 108 00:05:41,960 --> 00:05:44,120 Speaker 1: happening here, and we need to move as fast as 109 00:05:44,160 --> 00:05:47,200 Speaker 1: we possibly can to get this into trials and get 110 00:05:47,200 --> 00:05:48,400 Speaker 1: this to everyone. 111 00:05:48,920 --> 00:05:51,839 Speaker 2: I want to get to Dave Rix, the CEO, in 112 00:05:51,880 --> 00:05:54,719 Speaker 2: a second, but before we go there, just like stepping back. 113 00:05:55,600 --> 00:05:59,280 Speaker 2: This has been such a huge shift. I mean, Madison, 114 00:05:59,320 --> 00:06:01,640 Speaker 2: you kind of hint at it that there was a 115 00:06:01,640 --> 00:06:04,520 Speaker 2: time where we didn't regard OBCD as a disease. Now 116 00:06:04,560 --> 00:06:08,839 Speaker 2: we do. Brat you mentioned a trillion dollar market cap. 117 00:06:09,040 --> 00:06:13,080 Speaker 2: I assume that's partly an assessment of the category's promise, right, 118 00:06:13,120 --> 00:06:15,280 Speaker 2: I mean, there are a lot of investors who see 119 00:06:15,279 --> 00:06:18,600 Speaker 2: this as a game changer, you know, in ways that 120 00:06:18,680 --> 00:06:21,200 Speaker 2: go far beyond kind of where we are today, right. 121 00:06:21,440 --> 00:06:22,400 Speaker 5: Yeah, exactly. 122 00:06:22,640 --> 00:06:25,440 Speaker 1: I mean a large part of that is confidence in 123 00:06:25,480 --> 00:06:28,719 Speaker 1: the leadership at Lily, in Dave Rix's ability to steer 124 00:06:28,760 --> 00:06:31,919 Speaker 1: this company, to get in with the Trump administration to 125 00:06:32,000 --> 00:06:34,760 Speaker 1: invest in things like AI. People really think that Lily 126 00:06:34,839 --> 00:06:36,160 Speaker 1: is doing something special. 127 00:06:36,000 --> 00:06:38,919 Speaker 4: And it's a bet on the potential of this category. 128 00:06:38,960 --> 00:06:41,760 Speaker 4: I mean, if twelve or thirteen percent of Americans are 129 00:06:41,760 --> 00:06:44,400 Speaker 4: on GLP once right now, you know, forty percent of 130 00:06:44,440 --> 00:06:47,839 Speaker 4: this country is probably classified as obese. So they see, 131 00:06:48,560 --> 00:06:52,520 Speaker 4: you know, analyst firms, investors see like a long runway 132 00:06:52,640 --> 00:06:54,920 Speaker 4: in the US and around the world for this category 133 00:06:54,920 --> 00:06:55,640 Speaker 4: of drugs. 134 00:06:56,000 --> 00:07:00,960 Speaker 2: You brought up Trump Madison. There is an interesting political 135 00:07:00,960 --> 00:07:06,200 Speaker 2: angle here. Dave Rix, Republican political donor, has had what 136 00:07:06,320 --> 00:07:10,480 Speaker 2: feels like a closeish relationship with Trump and as we 137 00:07:10,560 --> 00:07:14,880 Speaker 2: record this stat News, which is like a trade magazine 138 00:07:14,920 --> 00:07:19,240 Speaker 2: for the drug industry, reported that the Lily has this 139 00:07:19,360 --> 00:07:23,560 Speaker 2: new drug, it's forthcoming. They reported that a very special 140 00:07:23,720 --> 00:07:27,320 Speaker 2: seventy nine year old who was very well, very connected, 141 00:07:27,400 --> 00:07:31,880 Speaker 2: high profile person within the US government obtained compassionate use 142 00:07:31,920 --> 00:07:36,320 Speaker 2: access to the hot new new Eli Lilly drug. I 143 00:07:36,360 --> 00:07:39,000 Speaker 2: think there's a lot of speculation who that very prominent 144 00:07:39,200 --> 00:07:42,120 Speaker 2: seventy nine year old might be, because Donald Trump, the 145 00:07:42,120 --> 00:07:44,720 Speaker 2: president just turned eighty, was seventy nine at the time. 146 00:07:45,160 --> 00:07:48,720 Speaker 2: But like, what is that relationship between the Trump administration 147 00:07:49,160 --> 00:07:51,520 Speaker 2: and Dave Rix's CEO of Lily and how has that 148 00:07:51,640 --> 00:07:54,160 Speaker 2: helped the company? Like what have they kind of gotten 149 00:07:54,160 --> 00:07:54,600 Speaker 2: out of this? 150 00:07:54,960 --> 00:07:58,000 Speaker 1: Yeah, I mean, I think we have seen across industries 151 00:07:58,080 --> 00:08:00,800 Speaker 1: that you really have to have a good relationship with 152 00:08:00,920 --> 00:08:03,200 Speaker 1: Trump and these CEOs have to come to the table. 153 00:08:03,520 --> 00:08:07,120 Speaker 1: Trump wants deals, he wants big, splashy announcements. He wants 154 00:08:07,160 --> 00:08:10,680 Speaker 1: to have these close relationships with CEOs, and Davis has 155 00:08:10,680 --> 00:08:13,000 Speaker 1: been able to do that. I mean, he spent a 156 00:08:13,040 --> 00:08:16,160 Speaker 1: lot of time in Washington over the first half of 157 00:08:16,200 --> 00:08:18,840 Speaker 1: the year and after the Trump administration sort of came 158 00:08:18,880 --> 00:08:22,400 Speaker 1: back in. Trump calls him out by name often says 159 00:08:22,440 --> 00:08:24,360 Speaker 1: that he's the hottest CEO. 160 00:08:25,960 --> 00:08:27,840 Speaker 2: He's not a CEO. Is that a comment on his 161 00:08:27,880 --> 00:08:29,080 Speaker 2: good looks or the stock? 162 00:08:29,200 --> 00:08:29,360 Speaker 6: You know? 163 00:08:29,680 --> 00:08:30,280 Speaker 5: I think both. 164 00:08:30,640 --> 00:08:33,199 Speaker 1: He's also said that he looks much younger than his age. 165 00:08:33,240 --> 00:08:34,920 Speaker 1: I mean, there is a little bit of a romance 166 00:08:35,000 --> 00:08:38,520 Speaker 1: going on there for sure, and so that has benefited Lily, 167 00:08:39,000 --> 00:08:42,560 Speaker 1: you know, Lily and Novo. To Nova's credit, they were 168 00:08:42,600 --> 00:08:44,960 Speaker 1: able to strike this deal with the Trump administration to 169 00:08:45,160 --> 00:08:48,960 Speaker 1: expand access to obesity drugs for patients with Medicare, so 170 00:08:49,040 --> 00:08:51,840 Speaker 1: people sixty five and older. Trump has also said that 171 00:08:51,880 --> 00:08:54,520 Speaker 1: Lily wouldn't be subject to tariffs because they were building 172 00:08:54,520 --> 00:08:55,000 Speaker 1: in the US. 173 00:08:55,120 --> 00:08:58,000 Speaker 5: Like it's just it's whether or not they're actually. 174 00:08:57,679 --> 00:09:01,520 Speaker 1: Like getting specific thing is out of this relationship with Trump. 175 00:09:01,600 --> 00:09:05,679 Speaker 1: They do have a close, very close relationship Daverix and Trump, 176 00:09:05,760 --> 00:09:08,160 Speaker 1: and I think they're kind of able to call each 177 00:09:08,200 --> 00:09:10,880 Speaker 1: other about various things, which goes a long way in 178 00:09:10,880 --> 00:09:11,760 Speaker 1: this administration. 179 00:09:12,480 --> 00:09:14,120 Speaker 4: I mean, it's interesting to look at this from a 180 00:09:14,200 --> 00:09:17,880 Speaker 4: kind of public policy perspective. I mean, we make a 181 00:09:17,960 --> 00:09:20,520 Speaker 4: kind of deal with the pharma industry. We say, you're 182 00:09:20,559 --> 00:09:22,760 Speaker 4: going to have what is it, Madison, fifteen or twenty 183 00:09:22,840 --> 00:09:26,679 Speaker 4: years of a monopoly on your drug. You've made the 184 00:09:27,000 --> 00:09:30,160 Speaker 4: massive investments in developing a bunch of drugs and trying 185 00:09:30,160 --> 00:09:33,040 Speaker 4: to get a couple promising ones through clinical trials. So 186 00:09:33,040 --> 00:09:35,120 Speaker 4: we're going to give you a monopoly on that. But 187 00:09:35,160 --> 00:09:39,600 Speaker 4: then it expires, Then competition opens, the prices come down, 188 00:09:39,760 --> 00:09:42,680 Speaker 4: you lose that asset. It's like if Amazon were to 189 00:09:42,760 --> 00:09:45,520 Speaker 4: have to burn down all its warehouses after ten years 190 00:09:45,520 --> 00:09:48,480 Speaker 4: and start over. And that's the compromise we make with 191 00:09:48,559 --> 00:09:50,920 Speaker 4: these companies, and that's why it's so hard to maintain 192 00:09:51,600 --> 00:09:54,680 Speaker 4: hegemony in the farmer market. Well, the arrival of this 193 00:09:54,760 --> 00:09:58,120 Speaker 4: peptides market, the fact that there are labs in China 194 00:09:58,200 --> 00:10:02,000 Speaker 4: that are maybe working off, you know, scientific studies and 195 00:10:02,120 --> 00:10:05,040 Speaker 4: copying like the formula for retitud trites and just selling them. 196 00:10:05,160 --> 00:10:07,840 Speaker 4: Before Eli Lilly has even had a chance to profit 197 00:10:07,920 --> 00:10:11,360 Speaker 4: from its massive investment. It really does question the entire 198 00:10:11,679 --> 00:10:15,559 Speaker 4: industry and throw its economics and that fundamental agreement into question. 199 00:10:15,760 --> 00:10:18,880 Speaker 1: Yeah, it's a massive threat to like the pharmaceutical innovation. 200 00:10:19,160 --> 00:10:22,720 Speaker 1: I mean, these companies spend billions of dollars and many, many, 201 00:10:22,720 --> 00:10:25,839 Speaker 1: many years developing these products. For them to get ripped 202 00:10:25,880 --> 00:10:28,200 Speaker 1: off before they're even able to reap any profits on 203 00:10:28,240 --> 00:10:29,960 Speaker 1: them is not a great situation. 204 00:10:30,400 --> 00:10:32,560 Speaker 4: And by the way, a lot of them are doctors, 205 00:10:32,760 --> 00:10:37,080 Speaker 4: they're scientists. I think they are genuinely appalled at the 206 00:10:37,120 --> 00:10:39,360 Speaker 4: fact that people are buying these drugs over the internet 207 00:10:39,440 --> 00:10:42,400 Speaker 4: with these crazy names and just injecting themselves. 208 00:10:42,920 --> 00:10:43,600 Speaker 5: Yeah, exactly. 209 00:10:43,600 --> 00:10:46,840 Speaker 1: I mean a lot of doctors are shocked to see 210 00:10:46,960 --> 00:10:48,800 Speaker 1: patients showing up in their office. I was talking to 211 00:10:48,840 --> 00:10:51,920 Speaker 1: a doctor recently who said that someone came in with 212 00:10:51,960 --> 00:10:55,199 Speaker 1: a ziploc bag that just had like three syringes in it, 213 00:10:55,440 --> 00:10:57,480 Speaker 1: and they were like, yeah, here's my ozebic And they 214 00:10:57,520 --> 00:11:00,920 Speaker 1: were like, what what is the that's how do you 215 00:11:00,960 --> 00:11:03,120 Speaker 1: know what's in there? And there's just no way to know. 216 00:11:03,240 --> 00:11:03,840 Speaker 1: That's the thing. 217 00:11:04,520 --> 00:11:06,880 Speaker 2: All right. So Lily obviously is going to try to 218 00:11:07,240 --> 00:11:10,560 Speaker 2: make as many versions of these you know, glp ones 219 00:11:10,600 --> 00:11:13,520 Speaker 2: and weight loss drugs as they can and make as 220 00:11:13,600 --> 00:11:15,840 Speaker 2: much money off as as they have patents. You and 221 00:11:15,880 --> 00:11:18,480 Speaker 2: Brad talked to Dave Rix about, you know, where the 222 00:11:18,480 --> 00:11:21,400 Speaker 2: company's future is, and I found it so interesting because 223 00:11:21,400 --> 00:11:25,439 Speaker 2: it's all of these categories that feel kind of similar 224 00:11:26,000 --> 00:11:29,479 Speaker 2: to the weight loss thing, where it's like, you know, beauty, 225 00:11:29,600 --> 00:11:34,240 Speaker 2: it's stuff that could be conceivably consumerized psychedelics, like these 226 00:11:34,320 --> 00:11:38,160 Speaker 2: kind of like drugs that don't seem to hit maybe 227 00:11:38,520 --> 00:11:42,480 Speaker 2: conventional medical problems with conventional medical solutions, but that also 228 00:11:42,559 --> 00:11:47,080 Speaker 2: maybe are super promising for the Eli Lilly scientific machine 229 00:11:47,160 --> 00:11:47,800 Speaker 2: or something like that. 230 00:11:47,920 --> 00:11:49,960 Speaker 1: Yeah, I mean, Lily right now is just like we're 231 00:11:50,040 --> 00:11:52,760 Speaker 1: gonna do everything. We have the money to do everything. 232 00:11:52,840 --> 00:11:55,320 Speaker 1: Let's also look at these other areas that are maybe 233 00:11:55,320 --> 00:11:58,280 Speaker 1: not super conventional but that we know patients are interested 234 00:11:58,320 --> 00:12:01,240 Speaker 1: in because of this whole PEPTI boom. So I mean, 235 00:12:01,280 --> 00:12:04,280 Speaker 1: Lily is like they're super big in neuroscience, they're super 236 00:12:04,280 --> 00:12:07,280 Speaker 1: big in cancer, they're super big in immunology. But now 237 00:12:07,320 --> 00:12:10,680 Speaker 1: they're also starting to think about, Okay, we've gotten so 238 00:12:10,720 --> 00:12:13,120 Speaker 1: close to our patients because of this whole GLP one's thing, 239 00:12:13,200 --> 00:12:15,440 Speaker 1: what else do they want? Like, what other things do 240 00:12:15,440 --> 00:12:18,120 Speaker 1: they want to make them sleep better or look better 241 00:12:18,320 --> 00:12:21,520 Speaker 1: or perform better. And so they're starting to look sort 242 00:12:21,520 --> 00:12:24,920 Speaker 1: of at more of those consumer categories. And you know, 243 00:12:25,160 --> 00:12:28,120 Speaker 1: as Brad knows very well, with the tech companies, also, 244 00:12:28,200 --> 00:12:31,400 Speaker 1: there's this sort of like obsession at Lily to be 245 00:12:31,679 --> 00:12:33,840 Speaker 1: more like a tech company, to move faster, but to 246 00:12:33,880 --> 00:12:37,200 Speaker 1: also have like more of a relationship like apple Wood 247 00:12:37,280 --> 00:12:40,920 Speaker 1: with its patients or customers and sort of invoke that 248 00:12:40,960 --> 00:12:44,319 Speaker 1: same level of brand loyalty that those companies kind of have. 249 00:12:45,080 --> 00:12:46,320 Speaker 3: And I'll add one other thing. 250 00:12:46,440 --> 00:12:49,839 Speaker 4: I think that they're trying to use this tremendous success 251 00:12:50,040 --> 00:12:54,120 Speaker 4: and the accompanying kind of bank account that they have 252 00:12:54,880 --> 00:12:58,120 Speaker 4: to take a higher probability bet. So they're making a 253 00:12:58,200 --> 00:13:01,839 Speaker 4: lot of acquisitions of drugs that and Madison correct me 254 00:13:01,840 --> 00:13:04,520 Speaker 4: if I'm getting the terms wrong, are farther along and 255 00:13:04,559 --> 00:13:07,800 Speaker 4: the development cycle like are in phase two trials. So 256 00:13:07,840 --> 00:13:10,360 Speaker 4: they're looking for sure bets to kind of fill out 257 00:13:10,400 --> 00:13:12,760 Speaker 4: their pipeline so that when their patents on the GLP 258 00:13:12,840 --> 00:13:16,120 Speaker 4: once do expire, they've got other winners lined up. Now, 259 00:13:16,200 --> 00:13:19,600 Speaker 4: nobody in pharma has ever pulled that off, including Eli 260 00:13:19,640 --> 00:13:22,360 Speaker 4: Lilly in the past. Coming off the strength of drugs 261 00:13:22,360 --> 00:13:25,000 Speaker 4: like prozac. So it's still a kind of long shot, bet, 262 00:13:25,400 --> 00:13:27,040 Speaker 4: but this is what they're trying to do. They're trying 263 00:13:27,080 --> 00:13:29,760 Speaker 4: to defeat the historic boom and bus cycles of the 264 00:13:29,760 --> 00:13:31,400 Speaker 4: farm industry exactly. 265 00:13:31,679 --> 00:13:34,600 Speaker 1: It'll be really interesting to see what happens, because, like 266 00:13:34,640 --> 00:13:36,560 Speaker 1: Brad said, no one really has been able to pull 267 00:13:36,559 --> 00:13:39,760 Speaker 1: this off yet, and so you know, if anyone is 268 00:13:39,800 --> 00:13:41,839 Speaker 1: able to be in that position to do something different 269 00:13:41,880 --> 00:13:43,800 Speaker 1: right now, it's Lily because they have just such a 270 00:13:43,800 --> 00:13:47,080 Speaker 1: massive windfall from all the success of their obesity drugs. 271 00:13:47,600 --> 00:13:49,800 Speaker 2: All right, Madison, thank you so much for being here. 272 00:13:49,880 --> 00:13:50,840 Speaker 5: Thank you, it was fun. 273 00:13:57,800 --> 00:13:58,160 Speaker 3: Max. 274 00:13:58,200 --> 00:14:01,560 Speaker 4: I want you to answer this delicately. Have you ever 275 00:14:02,200 --> 00:14:03,880 Speaker 4: have you ever had a bad boss? 276 00:14:05,400 --> 00:14:09,000 Speaker 2: I've had bad bosses, but my current boss is the best. 277 00:14:10,120 --> 00:14:13,040 Speaker 4: But not everybody feels that way. And so we sent 278 00:14:13,080 --> 00:14:16,800 Speaker 4: our producers Jasmine JT. Green and Stacy Wong out under 279 00:14:16,800 --> 00:14:18,959 Speaker 4: the streets of New York to get a pulse on 280 00:14:19,000 --> 00:14:21,680 Speaker 4: what people think about CEOs these days. 281 00:14:21,920 --> 00:14:27,040 Speaker 7: I'm curious, like, what are your thoughts particularly around like 282 00:14:27,760 --> 00:14:29,760 Speaker 7: CEOs and like management. 283 00:14:30,320 --> 00:14:34,360 Speaker 8: I would say that the reason people know don't like 284 00:14:34,440 --> 00:14:38,640 Speaker 8: CEOs and that CEOs in general are like starting to 285 00:14:39,680 --> 00:14:42,640 Speaker 8: be afraid of having that job is because people know 286 00:14:42,760 --> 00:14:44,760 Speaker 8: now that the only way to be a CEO of 287 00:14:44,800 --> 00:14:51,520 Speaker 8: a large company is to like manipulate and essentially scam 288 00:14:51,600 --> 00:14:58,520 Speaker 8: your workers with terrible labor, just labor environments, terrible pay 289 00:14:58,520 --> 00:15:03,280 Speaker 8: oftentimes with terrible hours, on top of just bad conditions 290 00:15:03,320 --> 00:15:04,200 Speaker 8: and workplaces. 291 00:15:05,080 --> 00:15:07,320 Speaker 6: It just feels a little bit weird, you know, because 292 00:15:07,760 --> 00:15:11,480 Speaker 6: you're employing people, you're using their services and profit half 293 00:15:11,520 --> 00:15:13,840 Speaker 6: of that. You need to charge a higher price to 294 00:15:13,840 --> 00:15:16,360 Speaker 6: wherever you are selling you to. It felt a little 295 00:15:16,360 --> 00:15:20,280 Speaker 6: bit exploitative. So I downsize. I don't want to be 296 00:15:20,320 --> 00:15:23,640 Speaker 6: see you. I guess you need to manage people. I 297 00:15:23,680 --> 00:15:25,680 Speaker 6: don't want that on my burden. I don't want to. 298 00:15:25,720 --> 00:15:26,320 Speaker 3: Beat that person. 299 00:15:26,520 --> 00:15:28,800 Speaker 9: Yes, I would want to be one. N I am one. 300 00:15:28,920 --> 00:15:31,280 Speaker 9: I own a dance school in Brooklyn. It's a ballet 301 00:15:31,320 --> 00:15:34,000 Speaker 9: school because I'm a vallet dancer. 302 00:15:34,160 --> 00:15:37,240 Speaker 7: So what is it like being like the owner and 303 00:15:37,360 --> 00:15:38,520 Speaker 7: running of a space. 304 00:15:38,800 --> 00:15:41,560 Speaker 9: It's like a double edged sword. I think it's very, very, 305 00:15:41,640 --> 00:15:43,960 Speaker 9: very stressful. It's like you got to wear so many 306 00:15:43,960 --> 00:15:46,840 Speaker 9: hats and it's very worth it though, it's very worthy. 307 00:15:47,040 --> 00:15:49,200 Speaker 10: I am my own employee. I like the freedom of 308 00:15:49,240 --> 00:15:51,720 Speaker 10: being able to come out and work the hours that 309 00:15:52,040 --> 00:15:54,560 Speaker 10: work for me and being able to create stuff that 310 00:15:55,280 --> 00:15:58,000 Speaker 10: is aligned with who I am and my values. I 311 00:15:58,040 --> 00:16:01,240 Speaker 10: think starting it was the hardest part. Maintaining it is 312 00:16:01,400 --> 00:16:04,160 Speaker 10: just staying educated. At the end of the day. 313 00:16:04,480 --> 00:16:06,840 Speaker 7: Is it worse now than it was, like, let's say, five, 314 00:16:07,080 --> 00:16:07,720 Speaker 7: ten years ago. 315 00:16:08,040 --> 00:16:10,640 Speaker 8: I feel like it's always been I feel like it's 316 00:16:10,640 --> 00:16:13,800 Speaker 8: always been bad. But people were more complacent ten le 317 00:16:14,040 --> 00:16:17,320 Speaker 8: likes ten years ago because honestly, it was probably it 318 00:16:17,400 --> 00:16:19,560 Speaker 8: was most likely we could do to the economy being better. 319 00:16:19,920 --> 00:16:23,240 Speaker 8: Because the economy is so bad now people are looking 320 00:16:23,280 --> 00:16:26,760 Speaker 8: at the billion dollar companies and saying, why are you 321 00:16:26,840 --> 00:16:29,360 Speaker 8: not helping us? We gave you all this profit and 322 00:16:29,400 --> 00:16:32,280 Speaker 8: now you just keep upping prices. 323 00:16:32,560 --> 00:16:36,480 Speaker 4: Okay, interesting accountability coming for CEOs. 324 00:16:36,560 --> 00:16:36,720 Speaker 6: Well. 325 00:16:36,760 --> 00:16:40,280 Speaker 4: We are joined by Bloomberg opinion columnist Beth Kowit, who 326 00:16:40,400 --> 00:16:42,200 Speaker 4: also listened in on these New Yorkers. 327 00:16:42,200 --> 00:16:44,440 Speaker 3: Beth, what did you think about what you just heard? 328 00:16:44,840 --> 00:16:47,200 Speaker 11: I mean, I think that tracks with what we're seeing 329 00:16:47,200 --> 00:16:51,240 Speaker 11: in the polling. People are their opinions of capitalism of 330 00:16:51,320 --> 00:16:55,320 Speaker 11: business are declining, and I think that that is hurting 331 00:16:55,320 --> 00:16:57,320 Speaker 11: the image of CEOs who are running these companies. 332 00:16:57,360 --> 00:16:59,880 Speaker 2: For sure, we can get into what that means for 333 00:17:00,080 --> 00:17:02,680 Speaker 2: CEOs and the fact that CEOs are now it's harder 334 00:17:02,720 --> 00:17:04,520 Speaker 2: to be a CEO. Maybe arguably we can. We talked 335 00:17:04,520 --> 00:17:06,960 Speaker 2: about that, but before we get there, where do you 336 00:17:06,960 --> 00:17:09,159 Speaker 2: see this shift? I'm both of you. I'm actually curious 337 00:17:09,160 --> 00:17:10,760 Speaker 2: where is this shift coming from? 338 00:17:10,920 --> 00:17:13,280 Speaker 11: Maybe that you start, Yeah, I think a big piece 339 00:17:13,280 --> 00:17:16,520 Speaker 11: of it is rising inequality. Right we see some of 340 00:17:16,560 --> 00:17:19,320 Speaker 11: these enormous pay packages, and on the other end, we 341 00:17:19,320 --> 00:17:22,119 Speaker 11: have people who are really struggling, and I think I 342 00:17:22,119 --> 00:17:24,919 Speaker 11: think that's visceral and people are feeling that, and I 343 00:17:24,920 --> 00:17:27,600 Speaker 11: think this is why we're seeing threats against CEOs increase. 344 00:17:27,840 --> 00:17:30,399 Speaker 11: You know, I just CEOs definitely they have an image 345 00:17:30,480 --> 00:17:31,080 Speaker 11: problem right now. 346 00:17:31,119 --> 00:17:33,200 Speaker 3: For sure. I thought it was so interesting. 347 00:17:33,200 --> 00:17:35,240 Speaker 4: You know, Bethew wrote the story for us being a 348 00:17:35,359 --> 00:17:39,439 Speaker 4: CEO Today's stinks except for the salary in the in 349 00:17:39,520 --> 00:17:42,639 Speaker 4: the July issue of Business Week, and we promoted the 350 00:17:42,640 --> 00:17:46,119 Speaker 4: story on social media and the comments. 351 00:17:45,680 --> 00:17:47,880 Speaker 3: To our Instagram post We're so rich. 352 00:17:47,960 --> 00:17:51,240 Speaker 4: I just want to read a few world's smallest violin 353 00:17:51,720 --> 00:17:54,399 Speaker 4: one person rates just no sympathy. 354 00:17:54,480 --> 00:17:56,120 Speaker 2: So are we expected? 355 00:17:56,320 --> 00:17:59,840 Speaker 4: Are we expected to feel empathy for the suddenly stressful 356 00:18:00,000 --> 00:18:02,240 Speaker 4: flight of the people who are running our companies, running 357 00:18:02,240 --> 00:18:02,840 Speaker 4: the economy. 358 00:18:03,320 --> 00:18:05,159 Speaker 11: So I don't think so okay, so this is not 359 00:18:05,240 --> 00:18:07,439 Speaker 11: a boohoo story, right, I think again, they make a 360 00:18:07,440 --> 00:18:09,679 Speaker 11: lot of money, they know what they're taking on. But 361 00:18:09,760 --> 00:18:13,000 Speaker 11: I think the bigger point here is that the job 362 00:18:13,040 --> 00:18:15,680 Speaker 11: has gotten more challenging and that has implications for who 363 00:18:15,680 --> 00:18:17,480 Speaker 11: wants to do it. And I think that's the reason 364 00:18:17,520 --> 00:18:19,520 Speaker 11: that we should all care, not even so much that 365 00:18:19,720 --> 00:18:23,320 Speaker 11: this job has gotten harder. I think you know, they're compensated, 366 00:18:23,320 --> 00:18:27,000 Speaker 11: they're paid well, but that it's going to mean that 367 00:18:27,040 --> 00:18:30,280 Speaker 11: the pool of candidates is slimming down, and that that 368 00:18:30,320 --> 00:18:32,320 Speaker 11: really does matter when we think about who do you 369 00:18:32,359 --> 00:18:33,320 Speaker 11: want to be your boss. 370 00:18:33,800 --> 00:18:37,960 Speaker 2: So to me, there are sort of two categories, maybe three, 371 00:18:38,040 --> 00:18:41,560 Speaker 2: in the way that this job got harder, and one 372 00:18:41,600 --> 00:18:44,960 Speaker 2: of them applies to pretty much every worker. So in 373 00:18:45,000 --> 00:18:46,840 Speaker 2: your story, there are a lot of CEOs saying it's 374 00:18:46,880 --> 00:18:49,280 Speaker 2: a twenty four to seven job right now, and like, 375 00:18:49,320 --> 00:18:54,520 Speaker 2: these are things that affect everyone, and CEOs have to 376 00:18:54,560 --> 00:18:57,080 Speaker 2: deal with the fact that if they embarrass themselves publicly, 377 00:18:57,080 --> 00:18:59,360 Speaker 2: it could affect them professionally. Again, that is a thing 378 00:18:59,359 --> 00:19:01,800 Speaker 2: that affects and I think that may be part of 379 00:19:01,880 --> 00:19:05,600 Speaker 2: the reason that some people reacted to the story the 380 00:19:05,600 --> 00:19:08,760 Speaker 2: way they did, because because you're saying, oh, being a 381 00:19:08,800 --> 00:19:12,640 Speaker 2: CEO has gotten really hard, but working being a white 382 00:19:12,640 --> 00:19:15,400 Speaker 2: collar worker has gotten harder since the pandemic as well. 383 00:19:15,480 --> 00:19:16,760 Speaker 5: Sure, I think that's a fair point. 384 00:19:16,840 --> 00:19:19,080 Speaker 11: I just think that the stakes are so much higher 385 00:19:19,119 --> 00:19:22,840 Speaker 11: when you are at the top. CEOs lose their jobs 386 00:19:22,880 --> 00:19:25,119 Speaker 11: faster than they ever have. Boards are I have a 387 00:19:25,119 --> 00:19:27,240 Speaker 11: lot less tolerance for mistakes than they used to. And 388 00:19:27,280 --> 00:19:29,119 Speaker 11: maybe again you can say that for any boss, but 389 00:19:29,160 --> 00:19:32,080 Speaker 11: I do think when you're operating at that level that 390 00:19:32,119 --> 00:19:34,080 Speaker 11: the stakes, the pressure is higher. 391 00:19:34,560 --> 00:19:37,240 Speaker 2: How much bet do you think this is political? We 392 00:19:37,320 --> 00:19:41,840 Speaker 2: have a CEO president or a president who you know 393 00:19:41,840 --> 00:19:44,240 Speaker 2: at times has been CEO and who you know, really 394 00:19:44,280 --> 00:19:47,159 Speaker 2: identifies himself his public image as a as a manager. 395 00:19:47,240 --> 00:19:51,240 Speaker 2: He's the you're fired guy. He also Donald Trump, you know, 396 00:19:51,400 --> 00:19:54,919 Speaker 2: was elected with this kind of unprecedented a lot. You know, 397 00:19:54,920 --> 00:19:58,800 Speaker 2: there's this really close alliance between the business world and 398 00:19:58,880 --> 00:20:02,280 Speaker 2: the Trump administration. And so I do wonder if some 399 00:20:02,359 --> 00:20:06,040 Speaker 2: of this has to do with politics where where people 400 00:20:06,119 --> 00:20:09,040 Speaker 2: are sort of especially left leaning people, younger people. We 401 00:20:09,359 --> 00:20:12,560 Speaker 2: heard a lot of young voices in that segment are 402 00:20:12,600 --> 00:20:15,919 Speaker 2: sort of taking their political feelings and putting them on 403 00:20:16,400 --> 00:20:19,159 Speaker 2: senior managers in a way they might not have like 404 00:20:19,240 --> 00:20:20,359 Speaker 2: during the Obama. 405 00:20:20,080 --> 00:20:22,040 Speaker 5: Er say, I think that's true. 406 00:20:22,280 --> 00:20:25,040 Speaker 11: I do think that's true, and I think that I've 407 00:20:25,040 --> 00:20:26,679 Speaker 11: written about this quite a bit, but I do think 408 00:20:26,720 --> 00:20:29,440 Speaker 11: we have seen a real reversal here in terms of 409 00:20:29,920 --> 00:20:35,160 Speaker 11: how CEOs respond to cultural issues. They've stopped speaking up, 410 00:20:35,359 --> 00:20:37,520 Speaker 11: They've you know, I think that the complete one eighty 411 00:20:37,560 --> 00:20:42,840 Speaker 11: there has made people question what do these CEOs really 412 00:20:42,840 --> 00:20:43,199 Speaker 11: stand for? 413 00:20:43,240 --> 00:20:44,680 Speaker 5: What do these companies really stand for? 414 00:20:44,920 --> 00:20:47,480 Speaker 4: It's interesting also, I mean in some ways, like CEOs 415 00:20:47,480 --> 00:20:51,159 Speaker 4: are taking themselves out of the political discussion publicly, but 416 00:20:51,200 --> 00:20:54,320 Speaker 4: they're also expected to court the White House in a 417 00:20:54,320 --> 00:20:57,919 Speaker 4: way that they haven't in the past. You know, Trump 418 00:20:58,040 --> 00:21:00,840 Speaker 4: is a king maker. It's incumbent the on these companies 419 00:21:00,840 --> 00:21:03,800 Speaker 4: to kind of woo this president. They can't rely on 420 00:21:03,800 --> 00:21:06,920 Speaker 4: their lobbyists anymore. They got to work the halls of power. Yeah, 421 00:21:06,960 --> 00:21:08,880 Speaker 4: a lot of pressure in that recard too well. 422 00:21:08,880 --> 00:21:10,760 Speaker 2: And then the other side of this coin, I mean, 423 00:21:10,760 --> 00:21:14,040 Speaker 2: the reason they're in Washington all the time is that 424 00:21:14,119 --> 00:21:17,240 Speaker 2: we have a very unstable policy environment. So like CEOs 425 00:21:17,280 --> 00:21:20,160 Speaker 2: are always Historically they probably wouldn't say a public because 426 00:21:20,160 --> 00:21:21,840 Speaker 2: they don't want to get side by sideways with Trump. 427 00:21:21,920 --> 00:21:24,800 Speaker 2: But like the general message from the business world from 428 00:21:24,800 --> 00:21:27,000 Speaker 2: as long as I've been a journalist, just like you know, 429 00:21:27,040 --> 00:21:29,600 Speaker 2: over twenty years, is like, we want stability, we don't 430 00:21:29,600 --> 00:21:32,280 Speaker 2: want chifts in policy. And if there's one thing about 431 00:21:32,280 --> 00:21:36,119 Speaker 2: the Trump administration, it's that it's been very volatile. You 432 00:21:36,200 --> 00:21:38,160 Speaker 2: have a giant tariff one day and then we get 433 00:21:38,200 --> 00:21:41,280 Speaker 2: rid of the tariff. You have super low oil prices 434 00:21:41,280 --> 00:21:43,160 Speaker 2: one day, and now all of a sudden, we're fighting 435 00:21:43,240 --> 00:21:45,200 Speaker 2: a war that causes straight up horror moves the most 436 00:21:45,240 --> 00:21:48,600 Speaker 2: you know, the most important you know, thruway for petroleum 437 00:21:48,680 --> 00:21:51,480 Speaker 2: to be closed. So the CEOs, in addition to having 438 00:21:51,560 --> 00:21:54,320 Speaker 2: to deal with the fact that the public and their 439 00:21:54,320 --> 00:21:57,720 Speaker 2: workers may feel differently, just have to deal with policy 440 00:21:57,800 --> 00:22:00,240 Speaker 2: changes like that. That's a that's a headache, that's that's 441 00:22:00,280 --> 00:22:02,520 Speaker 2: not something that has anything to do with public opinion. 442 00:22:02,480 --> 00:22:05,680 Speaker 11: Right, and that means there's it's impossible to do long 443 00:22:05,760 --> 00:22:08,040 Speaker 11: term planning. That was something that I that's something I've 444 00:22:08,160 --> 00:22:10,840 Speaker 11: heard pretty regularly is that you know a lot of 445 00:22:10,840 --> 00:22:12,720 Speaker 11: these executives that's what they're trained to do, that's what 446 00:22:12,760 --> 00:22:14,520 Speaker 11: they are good at. And how do you come up 447 00:22:14,520 --> 00:22:18,040 Speaker 11: with a five to ten year plan when things are 448 00:22:18,400 --> 00:22:20,720 Speaker 11: changing so much day to day. I think it's I 449 00:22:20,760 --> 00:22:22,960 Speaker 11: think that is an enormous struggle and. 450 00:22:23,000 --> 00:22:25,800 Speaker 4: Key to that uncertainty has to be ai right And 451 00:22:26,000 --> 00:22:31,359 Speaker 4: is it this productivity and efficiency boosting wave that's going 452 00:22:31,440 --> 00:22:34,399 Speaker 4: to accelerate your growth? And if so, what happens to 453 00:22:34,480 --> 00:22:39,000 Speaker 4: your employees? How do you manage growth with what the 454 00:22:39,040 --> 00:22:42,000 Speaker 4: market is expecting? And in terms of layoffs as well? 455 00:22:42,359 --> 00:22:45,440 Speaker 2: Do you all remember the like, it wasn't that long 456 00:22:45,440 --> 00:22:48,199 Speaker 2: ago when I think CEOs were having this kind of 457 00:22:48,720 --> 00:22:52,840 Speaker 2: really positive time, right, the girl Boss era, the rise 458 00:22:52,880 --> 00:22:55,440 Speaker 2: and grind, Like there was a time in the not 459 00:22:55,560 --> 00:22:58,280 Speaker 2: so distant past where it was kind of cool to 460 00:22:58,280 --> 00:23:01,119 Speaker 2: be a CEO, which it's it's kind of strange to 461 00:23:01,160 --> 00:23:01,879 Speaker 2: think about today. 462 00:23:02,280 --> 00:23:05,679 Speaker 11: Yeah, I think it's funny because I think, especially if 463 00:23:05,720 --> 00:23:08,520 Speaker 11: you look back to you know, Trump one point zero, 464 00:23:08,520 --> 00:23:13,000 Speaker 11: I think CEOs were viewed as a counterweight to the administration. 465 00:23:13,359 --> 00:23:15,680 Speaker 11: They would push back, they would stand up for what 466 00:23:15,720 --> 00:23:18,840 Speaker 11: they felt was wrong. And I think we're just you know, 467 00:23:19,359 --> 00:23:21,840 Speaker 11: it's now, it's just get along. I think that really 468 00:23:21,840 --> 00:23:24,680 Speaker 11: sort of encapsulates that shift you're talking about, right, I 469 00:23:25,720 --> 00:23:28,159 Speaker 11: think they stood up for something then and now we 470 00:23:28,480 --> 00:23:33,400 Speaker 11: just don't really see that anymore to nearly the same frequency. 471 00:23:33,640 --> 00:23:34,240 Speaker 2: But let's be. 472 00:23:34,200 --> 00:23:37,880 Speaker 3: Real, is anybody really deferring their ambition? Has? 473 00:23:38,080 --> 00:23:39,679 Speaker 4: I mean, I guess we could probably come up with 474 00:23:39,720 --> 00:23:42,600 Speaker 4: a couple of examples, but it feels like, you know, 475 00:23:42,760 --> 00:23:45,960 Speaker 4: it's still the top spot. Ambition is still real, people 476 00:23:46,000 --> 00:23:52,120 Speaker 4: are still human, CEO really being CEO really become an attractive. 477 00:23:51,840 --> 00:23:53,800 Speaker 11: So I was a little skeptical about this too, but 478 00:23:53,920 --> 00:23:57,600 Speaker 11: I talked to a number of executive recruiters who told 479 00:23:57,600 --> 00:24:01,040 Speaker 11: me that they have heard from several candidates that this 480 00:24:01,200 --> 00:24:04,440 Speaker 11: is the rethinking whether they want this job. Last year, 481 00:24:04,440 --> 00:24:08,359 Speaker 11: we had this really interesting example of senior executive at 482 00:24:08,480 --> 00:24:11,960 Speaker 11: JP Morgan explicitly say she did not want the CEO job. 483 00:24:13,280 --> 00:24:17,760 Speaker 11: We had three very senior women leave CEO jobs to 484 00:24:18,080 --> 00:24:19,880 Speaker 11: go work at open AI. And again, you can say 485 00:24:19,880 --> 00:24:22,440 Speaker 11: that's for a lot of different reasons, right, an enormous 486 00:24:22,480 --> 00:24:23,199 Speaker 11: opportunity for a. 487 00:24:23,320 --> 00:24:26,680 Speaker 2: Job, exploding valuation, maybe more money, right. 488 00:24:26,760 --> 00:24:29,200 Speaker 11: And I think I think maybe this idea of ambition 489 00:24:29,359 --> 00:24:32,119 Speaker 11: is shifting, particularly for women, which is something I've written about, 490 00:24:32,119 --> 00:24:37,399 Speaker 11: but it's maybe more about impact than it is about title. 491 00:24:38,320 --> 00:24:41,080 Speaker 11: And I think people are looking at this job and saying, 492 00:24:41,240 --> 00:24:43,600 Speaker 11: maybe there are ways I can have more impact without 493 00:24:43,600 --> 00:24:45,159 Speaker 11: having to take on this burden. 494 00:24:45,440 --> 00:24:47,640 Speaker 2: There's only one way to fix this best. I've got 495 00:24:47,640 --> 00:24:51,360 Speaker 2: to pay CEOs more. 496 00:24:48,760 --> 00:24:49,359 Speaker 6: I mean. 497 00:24:52,200 --> 00:24:57,080 Speaker 2: Enough. How long before we get the vibe shift in 498 00:24:57,080 --> 00:24:59,080 Speaker 2: the other direction? I mean, or is that or do 499 00:24:59,080 --> 00:25:00,720 Speaker 2: you think that's so far off that it's not even 500 00:25:00,720 --> 00:25:01,480 Speaker 2: worth talking about? 501 00:25:01,720 --> 00:25:02,880 Speaker 5: Oh, that's a good one. 502 00:25:03,359 --> 00:25:08,000 Speaker 2: There's gonna be uh, you know, eventually, like political climate 503 00:25:08,000 --> 00:25:10,879 Speaker 2: will change and we'll be back in the what's the 504 00:25:10,880 --> 00:25:14,840 Speaker 2: Sheryl Sandberg book called Lean in the Lean era two 505 00:25:14,880 --> 00:25:17,119 Speaker 2: point zero will come back and we'll be back to, 506 00:25:17,600 --> 00:25:20,199 Speaker 2: you know, feeling positive about being a manager. 507 00:25:20,280 --> 00:25:23,400 Speaker 11: I think maybe that could happen. But I do think 508 00:25:23,480 --> 00:25:27,760 Speaker 11: the skepticism from employees will last longer. I think they've 509 00:25:27,760 --> 00:25:31,680 Speaker 11: been seeing a different side of corporate America than than 510 00:25:31,960 --> 00:25:34,919 Speaker 11: they expected. I think some of the things that you know, 511 00:25:35,680 --> 00:25:37,120 Speaker 11: it feels disingenuous now. 512 00:25:37,280 --> 00:25:40,280 Speaker 2: I mean, I think this whole sort of rise of populism, 513 00:25:40,480 --> 00:25:43,760 Speaker 2: they're going to be CEOs and marketers who figure out 514 00:25:44,320 --> 00:25:46,280 Speaker 2: how to kind of harness this who get to be 515 00:25:46,359 --> 00:25:48,879 Speaker 2: the champions of the working class or whatever? And I 516 00:25:48,880 --> 00:25:51,479 Speaker 2: think we'll see that, Uh, we'll see companies do that. 517 00:25:51,520 --> 00:25:54,399 Speaker 2: We're obviously seeing like political leaders do that. I mean 518 00:25:54,400 --> 00:25:56,840 Speaker 2: they'll take advantage of this in some way I imagine. 519 00:25:56,480 --> 00:25:59,119 Speaker 11: Oh for sure. Yeah, I think that's right, the diminishing 520 00:25:59,160 --> 00:26:01,719 Speaker 11: trust and institute. I think you're right that we are 521 00:26:01,720 --> 00:26:04,040 Speaker 11: going to see CEO's capitalize on. 522 00:26:03,960 --> 00:26:04,960 Speaker 5: This at some point. 523 00:26:05,800 --> 00:26:08,600 Speaker 2: Beth, thanks for joining us, Thanks for having me stick around. 524 00:26:08,640 --> 00:26:11,159 Speaker 2: We're going to talk underrated stories, and we'd love for 525 00:26:11,240 --> 00:26:13,160 Speaker 2: you to join and weigh in on both of these. 526 00:26:13,520 --> 00:26:14,360 Speaker 5: Great love to. 527 00:26:21,280 --> 00:26:24,679 Speaker 2: Brad. It's time for underrated stories. Beth is here, she 528 00:26:24,800 --> 00:26:26,760 Speaker 2: is listening. She doesn't know what we're going to say, 529 00:26:26,760 --> 00:26:28,920 Speaker 2: but I'm sure I'm ready with the hot take. 530 00:26:29,359 --> 00:26:31,240 Speaker 4: What do you got from? Okay, Well, you guys are 531 00:26:31,280 --> 00:26:33,480 Speaker 4: New Yorkers. I'm over here on the West coast, but 532 00:26:33,600 --> 00:26:37,199 Speaker 4: I'm going to select a New York underrated story. It was, 533 00:26:37,240 --> 00:26:40,720 Speaker 4: of course, the event primaries this week. Zoron Mamdani, mayor 534 00:26:40,760 --> 00:26:45,199 Speaker 4: in New York City, had a spectacular week. Three candidates 535 00:26:45,600 --> 00:26:48,720 Speaker 4: for the House of Representatives that he endorsed one two 536 00:26:48,760 --> 00:26:51,760 Speaker 4: of them were Democratic Socialists, and I just think, you know, 537 00:26:51,800 --> 00:26:56,920 Speaker 4: it says a lot about Mam Donnie's political popularity his movement, 538 00:26:57,240 --> 00:27:00,600 Speaker 4: But I think the underrated story here is the surprising 539 00:27:00,640 --> 00:27:06,800 Speaker 4: popularity of the democratic socialist agenda. Issues like strengthening unions, 540 00:27:07,119 --> 00:27:10,760 Speaker 4: a federal jobs guarantee, the Green New Deal is back 541 00:27:10,800 --> 00:27:15,480 Speaker 4: in play, immigration rights, of course, hostility to Israel, and 542 00:27:15,520 --> 00:27:19,080 Speaker 4: support of Palestine. All of these things I think portend 543 00:27:19,160 --> 00:27:21,479 Speaker 4: a very interesting twenty twenty eight election cycle. 544 00:27:21,880 --> 00:27:22,800 Speaker 5: I think that's so true. 545 00:27:22,840 --> 00:27:24,520 Speaker 11: And actually one of them, one of the winners, was 546 00:27:24,560 --> 00:27:27,200 Speaker 11: in my district, so it was interesting to watch that 547 00:27:27,400 --> 00:27:27,880 Speaker 11: play out. 548 00:27:28,400 --> 00:27:30,640 Speaker 2: I mean, the thing for me, and this comes back 549 00:27:30,680 --> 00:27:33,520 Speaker 2: to best story, like do you all remember where kind 550 00:27:33,560 --> 00:27:36,120 Speaker 2: of some of the most influential business leaders were on 551 00:27:36,320 --> 00:27:39,639 Speaker 2: Mom Donnie's political chances, like as recently as I don't know, 552 00:27:39,800 --> 00:27:43,040 Speaker 2: nine months ago. I mean, you had some of the 553 00:27:43,080 --> 00:27:46,880 Speaker 2: smartest minds in business basically saying this guy is a joke, 554 00:27:46,960 --> 00:27:50,760 Speaker 2: his supporters are stupid. Jamie Diamond said something along those lines, 555 00:27:51,080 --> 00:27:53,160 Speaker 2: and man, they really got it wrong. I mean they 556 00:27:53,359 --> 00:27:56,280 Speaker 2: really really miss this one. 557 00:27:56,720 --> 00:27:59,399 Speaker 11: Yeah, And I think to your point, it does show 558 00:27:59,480 --> 00:28:01,720 Speaker 11: that they made have taken their finger off the post 559 00:28:01,760 --> 00:28:03,800 Speaker 11: a little bit if you think that these candidates are 560 00:28:03,840 --> 00:28:07,000 Speaker 11: not popular if they don't have traction with a large 561 00:28:07,280 --> 00:28:08,320 Speaker 11: swath of the population. 562 00:28:08,680 --> 00:28:11,199 Speaker 4: President Trump likes to say America, who will never be 563 00:28:11,280 --> 00:28:13,800 Speaker 4: a communist country, and he likes to sort of, you know, 564 00:28:14,359 --> 00:28:18,119 Speaker 4: generalize and sweep this movement under one big rug. But 565 00:28:18,160 --> 00:28:22,000 Speaker 4: I think that, you know, democratic socialism is something that 566 00:28:22,160 --> 00:28:24,160 Speaker 4: will have to be kind of contended with. 567 00:28:24,520 --> 00:28:27,320 Speaker 2: Well. I think also it's interesting Trump of course sort 568 00:28:27,320 --> 00:28:30,760 Speaker 2: of famously has embraced Mam Donnie, so he in certain 569 00:28:30,760 --> 00:28:35,000 Speaker 2: ways has been much savvier about this than many of 570 00:28:35,160 --> 00:28:37,800 Speaker 2: you know, many of his friends and in the business community. 571 00:28:37,920 --> 00:28:40,960 Speaker 2: He even even as Mandannie criticizes him, he's he's aware. 572 00:28:40,960 --> 00:28:43,960 Speaker 2: And I think that's partly because Trump and Mom Donnie 573 00:28:44,040 --> 00:28:45,760 Speaker 2: have a lot in common, not not just in the 574 00:28:45,760 --> 00:28:48,360 Speaker 2: sense that they are both good at, you know, on 575 00:28:48,400 --> 00:28:51,320 Speaker 2: social media and that they're savvy politicians, but they're both 576 00:28:51,400 --> 00:28:53,120 Speaker 2: kind of tapping into some of the same stuff. As 577 00:28:53,200 --> 00:28:55,200 Speaker 2: much as Trump is a you know, an ally of 578 00:28:55,200 --> 00:28:57,200 Speaker 2: the business world, he's he's very much been able to 579 00:28:57,280 --> 00:28:59,240 Speaker 2: channel some of these anti boss feelings. 580 00:28:59,280 --> 00:29:00,600 Speaker 3: He recognizes game. 581 00:29:02,000 --> 00:29:05,120 Speaker 2: Exactly. All right, I've got an underrated story for the 582 00:29:05,160 --> 00:29:08,960 Speaker 2: two of you, and I know you're probably following the 583 00:29:09,040 --> 00:29:12,760 Speaker 2: drama around the reflecting pool. There are there are more 584 00:29:13,120 --> 00:29:16,040 Speaker 2: bigger problems to worry about. But I have just been 585 00:29:16,120 --> 00:29:21,240 Speaker 2: delighted with this story about the reflecting pool in Washington 586 00:29:21,720 --> 00:29:24,560 Speaker 2: that they are trying to get ready for the big 587 00:29:24,720 --> 00:29:28,080 Speaker 2: Sequis centennial. Let's just give a listen to how the 588 00:29:28,360 --> 00:29:29,720 Speaker 2: how the news is covering this. 589 00:29:30,000 --> 00:29:31,840 Speaker 12: We're out here at the reflecting pool. There are the 590 00:29:31,960 --> 00:29:34,960 Speaker 12: usual collection of warning joggers. Lucky them who get to 591 00:29:34,960 --> 00:29:37,600 Speaker 12: show up here in far more casual clothing. I did 592 00:29:37,640 --> 00:29:39,240 Speaker 12: a lapper on the pool a little earlier to check 593 00:29:39,280 --> 00:29:42,560 Speaker 12: on things. It is definitely cleaner. There is far less algae. 594 00:29:42,640 --> 00:29:43,720 Speaker 12: The ducks are out swimming. 595 00:29:43,800 --> 00:29:44,479 Speaker 3: They are alive. 596 00:29:45,280 --> 00:29:46,200 Speaker 2: Are you two following this? 597 00:29:46,360 --> 00:29:46,560 Speaker 8: Oh? 598 00:29:46,840 --> 00:29:49,480 Speaker 5: I love the Yeah the duck wellness check there. 599 00:29:50,000 --> 00:29:53,320 Speaker 2: Love it well because I think several ducks have been No, 600 00:29:53,480 --> 00:29:55,680 Speaker 2: I don't know if that's unusual. Like I mean, some 601 00:29:55,760 --> 00:29:57,520 Speaker 2: ducks die of natural cause. I don't know if the 602 00:29:57,520 --> 00:30:01,120 Speaker 2: reflecting pool is the cause, but it is also concerning. 603 00:30:01,320 --> 00:30:02,200 Speaker 3: I love the story. 604 00:30:02,480 --> 00:30:04,760 Speaker 4: I mean, if you look back in sort of like 605 00:30:04,840 --> 00:30:08,920 Speaker 4: recent presidential history, there are certain moments that become metaphors. 606 00:30:09,280 --> 00:30:14,120 Speaker 4: Gerald Ford stumbling on the stairs, George Bush vomiting on 607 00:30:14,160 --> 00:30:17,480 Speaker 4: the Japanese Prime Minister. And what we have here is 608 00:30:17,520 --> 00:30:21,120 Speaker 4: a fight over what could be the defining metaphor of 609 00:30:21,160 --> 00:30:23,880 Speaker 4: the Trump administration. And he is savvy enough to know it, 610 00:30:23,920 --> 00:30:26,280 Speaker 4: and so he is fighting tooth and nail with all 611 00:30:26,360 --> 00:30:30,440 Speaker 4: of the tools at his disposal to try to change 612 00:30:30,480 --> 00:30:33,200 Speaker 4: the narrative from the obvious, which is that you know, 613 00:30:33,240 --> 00:30:36,840 Speaker 4: he has inadvertently created this kind of oleaginous swamp in 614 00:30:36,880 --> 00:30:38,120 Speaker 4: the middle of Washington, d C. 615 00:30:38,680 --> 00:30:41,320 Speaker 2: Brad, you are talking about the metaphor. For me, the 616 00:30:41,360 --> 00:30:43,880 Speaker 2: actual mechanics of this story have been it's like the 617 00:30:43,880 --> 00:30:46,280 Speaker 2: best part because I feel like it's so relatable. Like 618 00:30:46,600 --> 00:30:50,920 Speaker 2: Trump is going through basically the personal drama that many 619 00:30:50,960 --> 00:30:55,120 Speaker 2: suburban homeowners face, which is that the algae in their pool. 620 00:30:55,640 --> 00:30:58,040 Speaker 2: Caring for a pool is very difficult, as my father 621 00:30:58,400 --> 00:31:02,840 Speaker 2: can attest. I've never see my dad like so relate 622 00:31:02,920 --> 00:31:05,960 Speaker 2: to Trump as he talked about talking about this algae issue. 623 00:31:06,000 --> 00:31:08,240 Speaker 5: You know, So, is this just a move to seem relatable? 624 00:31:08,640 --> 00:31:10,840 Speaker 2: Maybe? And you know, I've spent a bunch of time 625 00:31:10,880 --> 00:31:13,840 Speaker 2: going down the like pool Reddit rabbit hole to try 626 00:31:13,880 --> 00:31:16,160 Speaker 2: to figure out, you know, what Trump is doing, does 627 00:31:16,200 --> 00:31:19,600 Speaker 2: it make any sense? I mean, clearly painting is not 628 00:31:19,640 --> 00:31:22,800 Speaker 2: going to fix the algae problem. The other thing that's 629 00:31:22,840 --> 00:31:25,880 Speaker 2: funny is that Trump himself has offered some sort of 630 00:31:25,880 --> 00:31:28,880 Speaker 2: practical ideas for what may be going wrong. Let's let's 631 00:31:28,880 --> 00:31:29,440 Speaker 2: give a listen to. 632 00:31:29,440 --> 00:31:32,880 Speaker 12: That we still can't find is that alleged three hundred 633 00:31:32,880 --> 00:31:34,840 Speaker 12: and fifty foot gash along the floor of the pool 634 00:31:34,840 --> 00:31:36,200 Speaker 12: that the President says is there. 635 00:31:36,600 --> 00:31:38,680 Speaker 2: Who would think that somebody would go into a pool 636 00:31:38,680 --> 00:31:40,200 Speaker 2: and take a knife and start cutting it? 637 00:31:40,280 --> 00:31:42,360 Speaker 12: But do you approof of that that they use the Knight? 638 00:31:42,440 --> 00:31:44,200 Speaker 2: Do you have photos or videos? Well, let's put it 639 00:31:44,200 --> 00:31:46,840 Speaker 2: this way. When you have a three hundred and fifty 640 00:31:46,840 --> 00:31:49,880 Speaker 2: I think it's three fifty three hundred and fifty foot 641 00:31:49,960 --> 00:31:51,800 Speaker 2: slid from one. 642 00:31:51,720 --> 00:31:54,320 Speaker 8: End to the other, do you think that's proved? 643 00:31:54,760 --> 00:31:58,480 Speaker 2: So he's referring to the fact that the paint on 644 00:31:58,520 --> 00:32:00,000 Speaker 2: the bottom of the pool that they just painted as 645 00:32:00,080 --> 00:32:03,600 Speaker 2: and peeling. There's also apparently a long gash in the 646 00:32:03,920 --> 00:32:07,640 Speaker 2: some foam. He the Trump administration has alleged that that's 647 00:32:07,800 --> 00:32:11,360 Speaker 2: you know, essentially Antifa, you know, some some activists uh 648 00:32:11,480 --> 00:32:14,719 Speaker 2: defacing the pool in the Parks Department. I think has 649 00:32:14,800 --> 00:32:18,200 Speaker 2: arrested six people. But doesn't it seem possible that, you know, 650 00:32:18,240 --> 00:32:19,960 Speaker 2: it could have just been that this could just be 651 00:32:20,040 --> 00:32:22,800 Speaker 2: like a natural failure at the bottom of the pool. 652 00:32:23,200 --> 00:32:24,640 Speaker 11: I don't know about you guys, but it makes me 653 00:32:24,680 --> 00:32:27,880 Speaker 11: feel good that my president is so focused on the 654 00:32:27,920 --> 00:32:30,240 Speaker 11: important issues. I mean, this is this is really what 655 00:32:30,240 --> 00:32:31,480 Speaker 11: we should what we should be talking about. 656 00:32:31,480 --> 00:32:34,680 Speaker 2: Okay. My counter contrarian take here is like the green 657 00:32:34,840 --> 00:32:37,840 Speaker 2: wasn't that bad? Like, why didn't they do it? Looked nice? 658 00:32:37,920 --> 00:32:40,040 Speaker 2: It just looked a little a little green. 659 00:32:40,560 --> 00:32:42,280 Speaker 5: Ris pretend it was supposed to be green? 660 00:32:42,640 --> 00:32:42,880 Speaker 2: Max. 661 00:32:42,920 --> 00:32:45,840 Speaker 4: I love how you're approaching this. This is about This 662 00:32:45,920 --> 00:32:48,800 Speaker 4: is not about the details. This is about the memes, okay. 663 00:32:48,840 --> 00:32:51,560 Speaker 4: And the memes are rich and they're damaging. My favorite 664 00:32:51,600 --> 00:32:55,280 Speaker 4: one is, uh, there's one of Yoda lifting the X 665 00:32:55,320 --> 00:32:57,880 Speaker 4: Wing from the you know, like like at the swamp 666 00:32:57,920 --> 00:33:01,240 Speaker 4: planet in Star Wars, out from the pool and he 667 00:33:01,360 --> 00:33:03,800 Speaker 4: knows these things are politically damaging. 668 00:33:04,160 --> 00:33:06,360 Speaker 2: The thing I need is a smell check. Does the 669 00:33:06,400 --> 00:33:09,560 Speaker 2: algae does it smell okay? Or is it starting to 670 00:33:09,560 --> 00:33:11,360 Speaker 2: give an odor? Because I think once you get an 671 00:33:11,400 --> 00:33:13,000 Speaker 2: odor that starts to become concerned. 672 00:33:13,000 --> 00:33:13,760 Speaker 3: It looks smelly. 673 00:33:13,840 --> 00:33:18,000 Speaker 2: It does look smelly, Beth, thank you. You will have 674 00:33:18,040 --> 00:33:21,120 Speaker 2: to come back and join us on another episode to 675 00:33:21,360 --> 00:33:24,560 Speaker 2: talk more about pool care, algae. 676 00:33:24,360 --> 00:33:26,240 Speaker 5: And metaphors that thank you. I would love to These 677 00:33:26,240 --> 00:33:27,920 Speaker 5: are things I have deep opinions about. 678 00:33:34,800 --> 00:33:37,040 Speaker 2: This show is produced by Jasmine J. T. Green and 679 00:33:37,080 --> 00:33:41,120 Speaker 2: Stacy Wong. Mangus Hendrickson is our supervising producer, Sam Rogich, 680 00:33:41,160 --> 00:33:44,600 Speaker 2: Handle's engineering, and Dave Purcell fact checks. Special thanks to 681 00:33:44,640 --> 00:33:48,360 Speaker 2: Jeff Muskus, Julia Rubin, Angel Recchio, and Maria Ling. If 682 00:33:48,360 --> 00:33:50,120 Speaker 2: you have a minute, please rate and review the show. 683 00:33:50,160 --> 00:33:51,520 Speaker 2: It'll mean a lot to us. And if you have 684 00:33:51,560 --> 00:33:54,000 Speaker 2: a story that should be our business, email us at 685 00:33:54,040 --> 00:33:56,760 Speaker 2: Everybody's at Bloomberg dot net. That's everybody with an S 686 00:33:57,080 --> 00:33:59,600 Speaker 2: at Bloomberg dot net. Thank you for listening. We will 687 00:33:59,640 --> 00:34:03,920 Speaker 2: see you. Sweet sum