1 00:00:00,240 --> 00:00:11,480 Speaker 1: Bloomberg Audio, Studios, podcasts, radio news. This is Bloomberg Intelligence 2 00:00:11,560 --> 00:00:13,640 Speaker 1: with Scarletfoo and Paul Sweeney. 3 00:00:13,720 --> 00:00:15,840 Speaker 2: How do you think the FED is looking at tariffs? 4 00:00:15,960 --> 00:00:17,160 Speaker 2: The uncertainty of terriffs. 5 00:00:17,280 --> 00:00:19,720 Speaker 3: Let's take a look at the sectors and how they performed. 6 00:00:19,760 --> 00:00:22,440 Speaker 2: A lot of investors getting whipsaled every day by news events, 7 00:00:22,520 --> 00:00:24,520 Speaker 2: breaking market headlines. 8 00:00:24,000 --> 00:00:26,239 Speaker 1: And corporate news from across the globe. 9 00:00:26,280 --> 00:00:28,800 Speaker 3: Could we see a market disruption of market event? 10 00:00:28,960 --> 00:00:31,000 Speaker 2: So people just too exuberant out there? 11 00:00:31,120 --> 00:00:33,640 Speaker 3: You see some so called low quality stocks driving this 12 00:00:33,760 --> 00:00:34,520 Speaker 3: short term rally. 13 00:00:34,560 --> 00:00:39,360 Speaker 1: Bloomberg Intelligence with Scarletfoo and Paul Sweeney on Bloomberg Radio, 14 00:00:39,520 --> 00:00:41,440 Speaker 1: YouTube and Bloomberg Originals. 15 00:00:42,000 --> 00:00:44,239 Speaker 2: On today's Bloomberg Intelligence Show, we dig inside the big 16 00:00:44,280 --> 00:00:46,600 Speaker 2: business story is impacting Wall Street and the global markets. 17 00:00:46,800 --> 00:00:49,040 Speaker 3: Each and every week we provide in depth research and 18 00:00:49,120 --> 00:00:50,960 Speaker 3: data on some of the two thousand companies and one 19 00:00:51,040 --> 00:00:53,640 Speaker 3: hundred and thirty industries are analysts covered worldwide. 20 00:00:53,720 --> 00:00:55,639 Speaker 2: Today, we'll look at how the automaker Ford is being 21 00:00:55,680 --> 00:00:57,520 Speaker 2: impacted by its struggling ev business. 22 00:00:57,600 --> 00:00:59,480 Speaker 3: Plus we'll dive into why the food and beverage giant 23 00:00:59,520 --> 00:01:01,160 Speaker 3: Craft High is replacing its CEO. 24 00:01:01,480 --> 00:01:04,600 Speaker 2: But first we begin with research. Bloomberg Intelligence recently put 25 00:01:04,600 --> 00:01:06,720 Speaker 2: out on companies to watch for in the new year. 26 00:01:06,880 --> 00:01:09,520 Speaker 3: It's titled fifty Companies to Watch in twenty twenty six. 27 00:01:09,640 --> 00:01:12,119 Speaker 3: We were joined by Tim Craig head, Bloomberg Intelligence Global 28 00:01:12,200 --> 00:01:13,240 Speaker 3: Chief Content Officer. 29 00:01:13,480 --> 00:01:16,039 Speaker 2: We first asked Tim to break down this research put 30 00:01:16,040 --> 00:01:17,119 Speaker 2: a little bit of context. 31 00:01:17,200 --> 00:01:20,800 Speaker 4: This group of fifty are all part of what we 32 00:01:20,840 --> 00:01:23,440 Speaker 4: call focus ideas. It's a broader group of about one hundred. 33 00:01:24,000 --> 00:01:31,120 Speaker 4: These are all high conviction ideas. They have high confiction 34 00:01:31,240 --> 00:01:35,160 Speaker 4: ideas where we see something very different from what we 35 00:01:35,480 --> 00:01:40,040 Speaker 4: think is embedded in market expectations and there's catalysts ahead 36 00:01:40,080 --> 00:01:43,840 Speaker 4: to change the market mindset. Those catalysts coming up in 37 00:01:43,840 --> 00:01:47,319 Speaker 4: twenty twenty six, and that's where these fifty come into 38 00:01:48,040 --> 00:01:54,000 Speaker 4: and across the group this year. The biggest bucket are two. 39 00:01:54,560 --> 00:01:59,320 Speaker 4: One is just simply new product innovation that is being 40 00:01:59,480 --> 00:02:03,360 Speaker 4: rapped out into twenty twenty six. The other no surprise 41 00:02:03,760 --> 00:02:07,320 Speaker 4: AI related, and some of it's the tech companies. Some 42 00:02:07,400 --> 00:02:10,360 Speaker 4: of it are companies that are feeding into the process 43 00:02:10,400 --> 00:02:13,200 Speaker 4: and happy to get into some of those or other 44 00:02:13,280 --> 00:02:17,280 Speaker 4: topics as well. Suches, cyclical pressures and competitive concerns. On 45 00:02:17,320 --> 00:02:20,000 Speaker 4: the negative side, and there's a couple of other things 46 00:02:20,040 --> 00:02:20,440 Speaker 4: as well. 47 00:02:21,000 --> 00:02:22,840 Speaker 2: So on the new products, give us an example of 48 00:02:22,880 --> 00:02:25,280 Speaker 2: a new product that you guys think might really be 49 00:02:25,280 --> 00:02:26,600 Speaker 2: important for a company in a stock. 50 00:02:27,720 --> 00:02:28,080 Speaker 5: Yeah. 51 00:02:28,160 --> 00:02:30,720 Speaker 4: So, you know, it's interesting because some of these can 52 00:02:30,760 --> 00:02:34,520 Speaker 4: be quite technical, Paul. You know, you think a Nilan 53 00:02:35,160 --> 00:02:39,840 Speaker 4: Pharma or Bridge Bio are two biotech companies that have 54 00:02:40,000 --> 00:02:45,880 Speaker 4: new products coming. One of them relates to heart issues, 55 00:02:45,880 --> 00:02:50,040 Speaker 4: another relates to dwarfism. But it's new products that will 56 00:02:50,080 --> 00:02:53,800 Speaker 4: expand to market and drive we think, significantly better revenue 57 00:02:53,800 --> 00:02:57,200 Speaker 4: and earnings. On the other hand, there's some good old 58 00:02:57,200 --> 00:03:00,840 Speaker 4: fashioned names that you know and you love. Canada Goose 59 00:03:01,680 --> 00:03:05,600 Speaker 4: has new product flow coming through that we think reinvigorates 60 00:03:05,639 --> 00:03:09,919 Speaker 4: the top line. Brinker, I think Chili's the restaurant are 61 00:03:09,919 --> 00:03:13,079 Speaker 4: going through a whole new upgrade of their menu and 62 00:03:14,120 --> 00:03:19,639 Speaker 4: up selling clients with good stuff like Margarita's with Patron 63 00:03:20,360 --> 00:03:26,720 Speaker 4: and so the new product idea can expand across a 64 00:03:26,800 --> 00:03:29,680 Speaker 4: whole number of different segments. It's quite interesting. 65 00:03:29,960 --> 00:03:30,120 Speaker 5: Yeah. 66 00:03:30,160 --> 00:03:32,240 Speaker 3: I'm looking at Decker's as one of the new products 67 00:03:32,240 --> 00:03:34,920 Speaker 3: companies you highlight, and their ug is introducing styles to 68 00:03:34,920 --> 00:03:38,200 Speaker 3: stay relevant beyond the winter months. Let's talk a little 69 00:03:38,240 --> 00:03:40,400 Speaker 3: bit about AI because that's going to continue to be 70 00:03:40,440 --> 00:03:43,839 Speaker 3: a big theme, even as investors are starting to make 71 00:03:43,880 --> 00:03:47,320 Speaker 3: distinctions between companies that are in it for good and 72 00:03:47,360 --> 00:03:50,240 Speaker 3: those that maybe kind of fat ish. What are some 73 00:03:50,360 --> 00:03:53,320 Speaker 3: new names that surprised you in terms of their making 74 00:03:53,320 --> 00:03:53,680 Speaker 3: the list. 75 00:03:54,520 --> 00:03:57,200 Speaker 4: Yeah, it's it's interesting. I'll give you the new names 76 00:03:57,240 --> 00:03:59,440 Speaker 4: and the ones that aren't on here, and i'll do 77 00:03:59,480 --> 00:04:02,600 Speaker 4: the latter first. There's none of the big llms this 78 00:04:02,760 --> 00:04:05,840 Speaker 4: year that are on our list, or in Nvidia that's 79 00:04:05,960 --> 00:04:09,080 Speaker 4: not on a list. What you find are other either 80 00:04:09,360 --> 00:04:14,000 Speaker 4: enabling technologies, so I think LAMB Research. It's a semicap 81 00:04:14,000 --> 00:04:17,080 Speaker 4: equipment company that makes the gear that you make the 82 00:04:17,120 --> 00:04:22,719 Speaker 4: semiconductors with. That's quite well positioned. TSMC, the world's largest 83 00:04:22,760 --> 00:04:27,119 Speaker 4: foundry that's making the AI accelerator chips that feed into 84 00:04:27,120 --> 00:04:32,920 Speaker 4: the llms, or even back up in the channel of 85 00:04:33,040 --> 00:04:37,080 Speaker 4: how do you build out AI constellation, which is the 86 00:04:37,600 --> 00:04:42,159 Speaker 4: US's largest nuclear utility. That's quite important if you're going 87 00:04:42,200 --> 00:04:45,719 Speaker 4: to generate the electricity to drive the data centers to 88 00:04:45,839 --> 00:04:52,680 Speaker 4: drive AI acs. Interestingly, European construction company they own Turner, 89 00:04:52,800 --> 00:04:56,160 Speaker 4: which is the US's largest construction company. They've got the 90 00:04:56,200 --> 00:05:00,560 Speaker 4: biggest order book for building out data centers. There's a 91 00:05:00,680 --> 00:05:03,320 Speaker 4: host of different kinds of ways you can think about 92 00:05:03,960 --> 00:05:09,080 Speaker 4: leveraging AI beyond just simply the big lllms like Google 93 00:05:09,480 --> 00:05:12,719 Speaker 4: or Open AI or things along those lines that you 94 00:05:12,760 --> 00:05:13,240 Speaker 4: hear about. 95 00:05:13,480 --> 00:05:15,800 Speaker 2: Tim On this list, you and the bi analysts also 96 00:05:16,160 --> 00:05:20,359 Speaker 2: highlight stocks that might be have pressure on the downside, 97 00:05:20,360 --> 00:05:25,680 Speaker 2: whether it's cyclical pressure, competition, MNA, project delay. Give us 98 00:05:25,920 --> 00:05:28,560 Speaker 2: a name or two that might have some downside risk 99 00:05:28,680 --> 00:05:29,080 Speaker 2: this year. 100 00:05:30,200 --> 00:05:35,760 Speaker 4: Yeah, it's interesting on that think about what's going on 101 00:05:35,920 --> 00:05:40,960 Speaker 4: from the standpoint of you're just talking about airlines from 102 00:05:41,000 --> 00:05:44,839 Speaker 4: a European vantage point, we've got wage pressures that are 103 00:05:44,880 --> 00:05:50,320 Speaker 4: a rising and for Air France KLM, a big chunk 104 00:05:50,360 --> 00:05:53,640 Speaker 4: of their business is the Transatlantic market, which is getting 105 00:05:53,680 --> 00:05:58,240 Speaker 4: more and more competitive. And with both of those factors, 106 00:05:58,720 --> 00:06:02,760 Speaker 4: we think that there's risks to estimates. China Railway Group 107 00:06:02,839 --> 00:06:06,560 Speaker 4: it's a big state owned enterprise in China. It's one 108 00:06:06,600 --> 00:06:10,640 Speaker 4: of the big four engineering companies. And to the degree 109 00:06:10,680 --> 00:06:17,480 Speaker 4: that China is shifting towards more technology and innovation driven 110 00:06:17,520 --> 00:06:21,360 Speaker 4: investment and less away from bridges and roads and railroads 111 00:06:21,360 --> 00:06:24,600 Speaker 4: and things along those lines. China Railway Group we think 112 00:06:24,920 --> 00:06:29,800 Speaker 4: has downside risk. A couple little companies that are unusual 113 00:06:29,880 --> 00:06:35,200 Speaker 4: but intriguing. Dino Polska, which you've never heard of, I'm sure, 114 00:06:35,640 --> 00:06:39,799 Speaker 4: is a Polish supermarket company, but they've got two big 115 00:06:39,839 --> 00:06:43,880 Speaker 4: European competitors that are coming into the Polish market. Again, 116 00:06:44,080 --> 00:06:46,760 Speaker 4: downside risk to earnings. And the same thing can be 117 00:06:46,800 --> 00:06:50,000 Speaker 4: said about Joined Labs. We talked about a couple of 118 00:06:50,040 --> 00:06:53,760 Speaker 4: positive healthcare companies. This is one of the contract research 119 00:06:53,920 --> 00:07:01,240 Speaker 4: companies that helps a pharmaceutical do their drug development. China 120 00:07:01,520 --> 00:07:05,680 Speaker 4: is now looking to go broad and global with approvals 121 00:07:05,800 --> 00:07:09,760 Speaker 4: on new pharmaceutical products. Join, who focuses in all in 122 00:07:09,840 --> 00:07:12,760 Speaker 4: China is losing some of their business, So there's lots 123 00:07:12,800 --> 00:07:14,720 Speaker 4: of ways we can think about this our. 124 00:07:14,600 --> 00:07:18,040 Speaker 3: Thanks to Tim Kraik, head Bloomberg Intelligence Chief Content Officer, we. 125 00:07:18,120 --> 00:07:21,120 Speaker 2: Recently focused on a Bloomberg Big Takes story entitled Saudi's 126 00:07:21,120 --> 00:07:25,000 Speaker 2: Sisters wieled fifty billion dollar fortune as global powerbrokers. You 127 00:07:25,040 --> 00:07:27,280 Speaker 2: can find out on Bloomberg dot com and the Terminal. 128 00:07:27,400 --> 00:07:29,840 Speaker 3: The story looks at the Olion Group, a Saudi empire 129 00:07:29,920 --> 00:07:32,560 Speaker 3: led by sisters that has grown in influence. It has 130 00:07:32,560 --> 00:07:35,239 Speaker 3: a nearly thirteen billion dollars stock portfolio in the US, 131 00:07:35,520 --> 00:07:37,560 Speaker 3: as well as steaks and companies like black Rock and 132 00:07:37,640 --> 00:07:38,559 Speaker 3: JP Morgan Chase. 133 00:07:38,760 --> 00:07:39,080 Speaker 5: For more. 134 00:07:39,160 --> 00:07:42,560 Speaker 2: Scarlett and I were joined by Devin Pendleton, Bloomberg Wealth Reporter. 135 00:07:42,800 --> 00:07:45,600 Speaker 2: We first asked Devin to explain what the allion is 136 00:07:45,800 --> 00:07:47,440 Speaker 2: and who the sisters are behind it. 137 00:07:47,880 --> 00:07:48,520 Speaker 6: So it is. 138 00:07:48,640 --> 00:07:52,080 Speaker 7: Lubna and her sister Husam Allion. They're both in their 139 00:07:52,840 --> 00:07:54,960 Speaker 7: early seventies and they have been at the helm of 140 00:07:55,000 --> 00:07:59,320 Speaker 7: this family enterprise for decades, for more than forty years. 141 00:07:59,560 --> 00:07:59,880 Speaker 5: Wow. 142 00:08:00,600 --> 00:08:03,200 Speaker 3: And they have fairly low profiles too. That's the thing 143 00:08:03,280 --> 00:08:06,360 Speaker 3: that is striking. They have these low profiles, but they 144 00:08:06,440 --> 00:08:10,600 Speaker 3: are known as steally negotiators. Tell us what they've done. 145 00:08:10,880 --> 00:08:14,160 Speaker 7: Yeah, they've done an incredible job building this family business, 146 00:08:14,160 --> 00:08:16,360 Speaker 7: which was started by their father, who was a really 147 00:08:16,960 --> 00:08:20,200 Speaker 7: unbelievable character. He basically worked his way up from nothing. 148 00:08:20,280 --> 00:08:22,120 Speaker 7: You know, he's not a royal, was not connected to 149 00:08:22,160 --> 00:08:24,320 Speaker 7: the royals at a young age, but he built an 150 00:08:24,320 --> 00:08:29,720 Speaker 7: oil servicing company which he grew striking deals with all 151 00:08:29,760 --> 00:08:32,679 Speaker 7: sorts of consumer brand companies in the US, bringing them 152 00:08:32,720 --> 00:08:37,520 Speaker 7: to Saudi Arabia, everything from Coca Cola to cheese its 153 00:08:37,600 --> 00:08:41,840 Speaker 7: to Oreos, and he came over to the US in 154 00:08:41,920 --> 00:08:45,400 Speaker 7: the early nineteen sixties, was very inspired by what he 155 00:08:45,440 --> 00:08:48,319 Speaker 7: saw and bought some bank stocks, and basically his daughters 156 00:08:48,480 --> 00:08:50,880 Speaker 7: took over that business which was sprawling. I mean it 157 00:08:50,920 --> 00:08:55,200 Speaker 7: was in all sorts of sectors real estate, oil, filled services, 158 00:08:56,000 --> 00:09:00,959 Speaker 7: consumer goods, and hung on to those equity stakes, banking stakes. 159 00:09:01,400 --> 00:09:04,520 Speaker 7: So now they have this incredible portfolio of investments in 160 00:09:04,559 --> 00:09:06,720 Speaker 7: the US on Wall Street as well as this you know, 161 00:09:06,800 --> 00:09:11,040 Speaker 7: booming multi sector business in Saudi Arabia. 162 00:09:12,040 --> 00:09:16,800 Speaker 2: So but people in power know these two sisters, they 163 00:09:16,800 --> 00:09:19,560 Speaker 2: were at the White House recently tell us about that. 164 00:09:19,720 --> 00:09:22,240 Speaker 2: How do they subtlely wield their influence? 165 00:09:22,840 --> 00:09:25,959 Speaker 7: They are not noisy people. I think it's one thing 166 00:09:26,040 --> 00:09:28,480 Speaker 7: to do business and thrive in Saudi Arabia as you 167 00:09:28,559 --> 00:09:32,800 Speaker 7: have to really sort of be be quiet, be force full, 168 00:09:33,000 --> 00:09:36,160 Speaker 7: sort of no be a little bit deferential to you know, 169 00:09:36,240 --> 00:09:38,720 Speaker 7: who's really in charge, which would be the government and 170 00:09:38,760 --> 00:09:42,880 Speaker 7: the king and the Crown Prince. But they have had 171 00:09:43,080 --> 00:09:45,280 Speaker 7: long term ties with the US. I mean, you really 172 00:09:45,280 --> 00:09:47,320 Speaker 7: saw that at the White House dinner. You mentioned Paul, 173 00:09:47,440 --> 00:09:49,600 Speaker 7: she was sitting right next to Elon Musk. But you know, 174 00:09:49,720 --> 00:09:51,760 Speaker 7: arguably one of the most important people in the room 175 00:09:51,840 --> 00:09:55,000 Speaker 7: because she has these connections on Wall Street through their 176 00:09:55,040 --> 00:09:59,200 Speaker 7: long term equity investments. It's really important right now, especially 177 00:09:59,240 --> 00:10:01,800 Speaker 7: because the Kingdom is trying to bring in a lot 178 00:10:01,840 --> 00:10:05,559 Speaker 7: of inbound investment to transform their economy past oil. It's 179 00:10:05,600 --> 00:10:07,720 Speaker 7: a big deal for them to be bringing in money. 180 00:10:07,720 --> 00:10:10,480 Speaker 7: And these Alliance Sisters have had these connections for a 181 00:10:10,520 --> 00:10:12,520 Speaker 7: long long time, so they're more important than ever. 182 00:10:13,160 --> 00:10:14,920 Speaker 3: So they have the connections with the right people in 183 00:10:14,960 --> 00:10:17,640 Speaker 3: Saudi Arabia. How does their I mean when I think 184 00:10:17,640 --> 00:10:21,360 Speaker 3: about prominent investors in the kingdom, I think about Prince 185 00:10:21,360 --> 00:10:24,040 Speaker 3: Abolid beIN to Lull and how he's been very vocal 186 00:10:24,080 --> 00:10:28,280 Speaker 3: about his positions. He's often seen on media networks. You 187 00:10:28,360 --> 00:10:31,400 Speaker 3: don't hear about these Alliance Sisters at all, and I 188 00:10:31,480 --> 00:10:35,640 Speaker 3: wonder how much of that is, you know, is part 189 00:10:35,679 --> 00:10:36,920 Speaker 3: of their success story. 190 00:10:36,920 --> 00:10:40,840 Speaker 7: Totally, it's so so important. I think they are extremely discreet. 191 00:10:42,120 --> 00:10:44,679 Speaker 7: They are, like I said, like they really know their 192 00:10:44,760 --> 00:10:47,200 Speaker 7: role in the kingdom, like they're important. They step in 193 00:10:47,280 --> 00:10:49,480 Speaker 7: and help when they need to. For example, in Saudi 194 00:10:49,559 --> 00:10:53,360 Speaker 7: Ramco Ipo. Back in twenty nineteen, the kingdom was having 195 00:10:53,360 --> 00:10:55,600 Speaker 7: trouble kind of getting people excited and really getting the 196 00:10:55,600 --> 00:10:59,640 Speaker 7: investors they needed early to get backstop this IPO. They 197 00:10:59,720 --> 00:11:02,760 Speaker 7: ask some influential families and the Alliance were one that 198 00:11:02,880 --> 00:11:06,680 Speaker 7: you know, they really showed up. That matters for the kingdom, 199 00:11:06,720 --> 00:11:09,520 Speaker 7: and it also gives them, you know, license to really 200 00:11:09,559 --> 00:11:13,040 Speaker 7: expand their business as much as they need to into 201 00:11:13,120 --> 00:11:16,080 Speaker 7: being a position of power to help out, but also 202 00:11:16,320 --> 00:11:17,600 Speaker 7: you know, have favors in return. 203 00:11:18,080 --> 00:11:22,040 Speaker 2: And the Bloomberg the Rich Go function lists their wealth 204 00:11:22,080 --> 00:11:24,600 Speaker 2: of the family at approximately fifty billion dollars US. 205 00:11:24,679 --> 00:11:28,280 Speaker 7: Right, Yes, fifty billion dollars US. But I can guarantee 206 00:11:28,280 --> 00:11:29,960 Speaker 7: you that that is a conservative estimate. 207 00:11:30,120 --> 00:11:32,440 Speaker 2: Is that right now? I understand that they while they 208 00:11:32,480 --> 00:11:34,880 Speaker 2: keep a low profile of these sisters, they have good 209 00:11:34,920 --> 00:11:36,800 Speaker 2: relationships with some of the big folks on Wall Street 210 00:11:36,840 --> 00:11:38,840 Speaker 2: and like Larry Fink of black Rock and things like that. 211 00:11:39,080 --> 00:11:40,520 Speaker 2: So that's got to be useful. 212 00:11:41,080 --> 00:11:45,000 Speaker 7: Yeah, absolutely. I mean, just through one portfolio alone, they 213 00:11:45,040 --> 00:11:49,000 Speaker 7: have their big investors in Blackrock, the equity investors. They 214 00:11:49,000 --> 00:11:50,560 Speaker 7: have a one and a half billion dollar steak in 215 00:11:50,600 --> 00:11:53,959 Speaker 7: black Rock. They own an almost billion dollar steak in 216 00:11:54,040 --> 00:11:56,720 Speaker 7: JP Morgan. It's actually where lived No Lion first got 217 00:11:56,720 --> 00:12:00,800 Speaker 7: her start. She was initially working a low level banker 218 00:12:00,800 --> 00:12:05,679 Speaker 7: at JP Morgan right after college. So they're really worldly, 219 00:12:06,000 --> 00:12:11,200 Speaker 7: very well traveled and just tough, tough in this sort 220 00:12:11,240 --> 00:12:16,280 Speaker 7: of very you know, meaningful business sense, like negotiators. They're 221 00:12:16,400 --> 00:12:17,920 Speaker 7: very involved in their investments. 222 00:12:18,600 --> 00:12:21,600 Speaker 3: Our thanks to Devin Pendleton, Bloomberg Wealth Reporter. Coming up, 223 00:12:21,640 --> 00:12:23,920 Speaker 3: we'll move to the biotech sector and why my aloma 224 00:12:23,960 --> 00:12:25,800 Speaker 3: patients are failing to get the treatment they need. 225 00:12:25,960 --> 00:12:28,840 Speaker 2: You're listening to Bloomberg Intelligence on Bloomberg Radio, providing in 226 00:12:28,840 --> 00:12:31,000 Speaker 2: depth research and data on two thousand companies and one 227 00:12:31,080 --> 00:12:32,160 Speaker 2: hundred and thirty industries. 228 00:12:32,280 --> 00:12:35,320 Speaker 3: You can access Bloomberg Intelligence via bi go on the terminal. 229 00:12:35,400 --> 00:12:36,559 Speaker 3: I'm Scarlet Food and. 230 00:12:36,480 --> 00:12:38,520 Speaker 2: I'm Paul Sweeney, and this is Bloomberg. 231 00:12:41,840 --> 00:12:46,360 Speaker 1: This is Bloomberg Intelligence with Scarlet Foo and Paul Sweeney 232 00:12:46,679 --> 00:12:48,000 Speaker 1: on Bloomberg Radio. 233 00:12:48,800 --> 00:12:51,079 Speaker 2: We moved now to loose in the auto sector. 234 00:12:51,280 --> 00:12:53,839 Speaker 3: This week, automaker Ford announced it will take nineteen and 235 00:12:53,880 --> 00:12:56,600 Speaker 3: a half billion dollars in charges tied to an overhaul 236 00:12:56,640 --> 00:12:59,160 Speaker 3: of its EV business. And this comes after years of 237 00:12:59,240 --> 00:13:01,959 Speaker 3: Ford struggling to make its electric vehicle business profitable. 238 00:13:02,120 --> 00:13:04,760 Speaker 2: From what we were joined by Steven Mann Bloomberg Intelligence 239 00:13:04,760 --> 00:13:06,840 Speaker 2: Global Autos and Industrials research analysts. 240 00:13:07,080 --> 00:13:09,439 Speaker 3: We began by asking Steve for his reaction to the 241 00:13:09,520 --> 00:13:11,400 Speaker 3: nineteen and a half billion dollar charge. 242 00:13:11,640 --> 00:13:14,680 Speaker 8: Yeah, it is a very big number. It pretty much 243 00:13:14,800 --> 00:13:19,880 Speaker 8: backed up the truck on these charges. But the important 244 00:13:19,920 --> 00:13:22,680 Speaker 8: thing is it's clearing the deck for next year. 245 00:13:23,240 --> 00:13:23,440 Speaker 5: Right. 246 00:13:24,120 --> 00:13:29,200 Speaker 8: There is a couple of earning's tailwind for Ford and 247 00:13:29,240 --> 00:13:35,320 Speaker 8: actually to their competitors in Detroit as well. So the biggest, 248 00:13:35,640 --> 00:13:38,600 Speaker 8: I think the biggest write down. Two biggest write down 249 00:13:38,840 --> 00:13:43,320 Speaker 8: is writing down the losses on their Mustang Mochy. You 250 00:13:43,320 --> 00:13:46,160 Speaker 8: know they've been losing around twenty five thousand dollars on 251 00:13:46,200 --> 00:13:50,080 Speaker 8: the EBIT line per vehicle, so it's massive. The other 252 00:13:50,559 --> 00:13:54,720 Speaker 8: is the charges really on their joint venture with their 253 00:13:54,760 --> 00:13:58,160 Speaker 8: battery supplier in Korea. So you know they're going to 254 00:13:58,200 --> 00:14:04,120 Speaker 8: repurpose one of those plants for energy storage. So again 255 00:14:04,200 --> 00:14:07,319 Speaker 8: it's really clearing the deck. There's a couple of tailwinds 256 00:14:07,480 --> 00:14:11,720 Speaker 8: for twenty twenty six, which includes you know, Trump's loosening 257 00:14:12,120 --> 00:14:14,120 Speaker 8: the MPG miles per gallon rule. 258 00:14:14,760 --> 00:14:18,960 Speaker 2: Yeah, absolutely, does that reflect Steve. Investors want these auto 259 00:14:19,000 --> 00:14:22,680 Speaker 2: companies to kind of back away or proceed more cautiously 260 00:14:22,920 --> 00:14:24,400 Speaker 2: towards their move towards EV's. 261 00:14:25,000 --> 00:14:31,160 Speaker 8: Yeah, definitely, especially in the US. And look, Ford is 262 00:14:31,600 --> 00:14:35,200 Speaker 8: you know, not just pivoting in the US, but they're 263 00:14:35,240 --> 00:14:38,080 Speaker 8: also pivoting in Europe. You know, they just announced a 264 00:14:38,160 --> 00:14:42,840 Speaker 8: joint venture with Renault to develop EVS over in Europe. 265 00:14:42,920 --> 00:14:45,440 Speaker 8: And you know, Ford doesn't really have a big presence 266 00:14:45,760 --> 00:14:50,440 Speaker 8: in Europe, so they're taking that approach of partnership. GM 267 00:14:50,600 --> 00:14:53,200 Speaker 8: is doing the same thing. Remember they took one point 268 00:14:53,240 --> 00:14:57,400 Speaker 8: six billion dollar charge, much more modest than the nineteen 269 00:14:57,440 --> 00:15:01,040 Speaker 8: billion that Ford is taking. But you know, GM is 270 00:15:01,080 --> 00:15:04,960 Speaker 8: dialing back but keeping one foot on the EV's. I 271 00:15:04,960 --> 00:15:07,880 Speaker 8: think they I believe they still think that they're you know, 272 00:15:07,960 --> 00:15:11,960 Speaker 8: they still can succeed, especially when they introduce the Chevy 273 00:15:11,960 --> 00:15:13,320 Speaker 8: Bolt in the new year. 274 00:15:13,880 --> 00:15:17,520 Speaker 2: So, Steve, you know, we're many years into this transition 275 00:15:17,600 --> 00:15:20,600 Speaker 2: to EV's and you know, I know there are many 276 00:15:20,880 --> 00:15:24,080 Speaker 2: there are European country, Scandinavian countries where it's almost one 277 00:15:24,120 --> 00:15:27,320 Speaker 2: hundred percent of their fleets are are their new car 278 00:15:27,400 --> 00:15:30,800 Speaker 2: sales are EV's. That ain't the case here in the US. 279 00:15:31,600 --> 00:15:36,000 Speaker 2: With some hindsight here, why hasn't why haven't EV's taken 280 00:15:36,240 --> 00:15:38,120 Speaker 2: a better hold here in this US market. 281 00:15:38,760 --> 00:15:43,480 Speaker 8: Yeah, it definitely needs more, you know, regulatory support for 282 00:15:43,560 --> 00:15:48,960 Speaker 8: EV to take grow because you know, EV uh, there's 283 00:15:49,000 --> 00:15:51,320 Speaker 8: a lot of three hurdles right that consumers have to 284 00:15:51,360 --> 00:15:55,080 Speaker 8: get over, which is the price, the range, and the 285 00:15:55,120 --> 00:16:01,000 Speaker 8: convenience right of charging infrastructure. You know, without government support 286 00:16:01,080 --> 00:16:03,280 Speaker 8: to actually build that out, it's going to take some 287 00:16:03,360 --> 00:16:08,360 Speaker 8: time for the electrification transition. I think a lot of 288 00:16:08,400 --> 00:16:13,200 Speaker 8: people in the industry still feels that electrification, battery EV, 289 00:16:14,280 --> 00:16:18,400 Speaker 8: maybe hybrids in between is the way to go in 290 00:16:18,440 --> 00:16:22,160 Speaker 8: the future. But you know, I think there's a huge 291 00:16:22,160 --> 00:16:27,200 Speaker 8: paradigm shift that consumers hair have to get over, and 292 00:16:27,240 --> 00:16:30,680 Speaker 8: it's really challenging to do that without government support. 293 00:16:30,680 --> 00:16:33,680 Speaker 2: Here our thanks to Steve Man Bloomberg Intelligence, Global, Autos 294 00:16:33,720 --> 00:16:35,160 Speaker 2: and Industrials Research Channels. 295 00:16:35,240 --> 00:16:36,920 Speaker 3: We move next to some news in the food and 296 00:16:36,960 --> 00:16:37,800 Speaker 3: beverage industry. 297 00:16:37,960 --> 00:16:40,440 Speaker 2: This week, craft Times announced it would be replacing its 298 00:16:40,480 --> 00:16:45,520 Speaker 2: CEO with former Kelenova CEO Steve Kahaling on January first. 299 00:16:45,800 --> 00:16:47,960 Speaker 3: This comes as the company plans to split into two 300 00:16:48,000 --> 00:16:52,000 Speaker 3: separate publicly traded companies. One will sell condiments and boxed meals, 301 00:16:52,000 --> 00:16:54,960 Speaker 3: while the other will include its slower growing grocery products 302 00:16:55,120 --> 00:16:56,160 Speaker 3: like lunchibles for. 303 00:16:56,160 --> 00:16:59,120 Speaker 2: More, Scarlett and I were joined by Christina Peterson Bloomberg 304 00:16:59,120 --> 00:17:02,560 Speaker 2: Food Industry. We first asked Christina to break down the 305 00:17:02,600 --> 00:17:03,520 Speaker 2: CEO change. 306 00:17:03,840 --> 00:17:07,240 Speaker 6: We had expected in September that the current CEO would 307 00:17:07,320 --> 00:17:10,760 Speaker 6: lead one of the two new companies, specifically the one 308 00:17:11,160 --> 00:17:14,520 Speaker 6: that it's the grocery Staples. They actually don't have official 309 00:17:14,640 --> 00:17:18,000 Speaker 6: names yet, but that was a collection of the least 310 00:17:18,119 --> 00:17:22,000 Speaker 6: profitable or less profitable food items there, including things like 311 00:17:22,080 --> 00:17:26,640 Speaker 6: lunch a Bowles and Oscar Meyer Deli Meats. The surprise 312 00:17:26,680 --> 00:17:28,560 Speaker 6: came this morning that he is in fact not going 313 00:17:28,560 --> 00:17:30,919 Speaker 6: to lead that company, and instead they are bringing in 314 00:17:31,080 --> 00:17:37,280 Speaker 6: Steve kay Helene from Kelenova to lead the second company 315 00:17:37,680 --> 00:17:40,800 Speaker 6: after the split has gone through. That is being called 316 00:17:40,800 --> 00:17:45,240 Speaker 6: the Global Taste Elevation Company, and that's going to have Heinz, Ketchup, Kraft, 317 00:17:45,320 --> 00:17:48,280 Speaker 6: mac and Cheese, some of those beloved iconic products. 318 00:17:48,520 --> 00:17:50,800 Speaker 3: So that's the fastcoring part of the company, and the 319 00:17:50,840 --> 00:17:53,480 Speaker 3: other one is kind of the you know, the equivalent 320 00:17:53,520 --> 00:17:56,879 Speaker 3: of CNN TNT and you know, the leave it behind 321 00:17:56,960 --> 00:17:59,919 Speaker 3: assets that you know are are you're managing the decline? 322 00:18:00,400 --> 00:18:02,919 Speaker 3: What can you tell us about Steve cal Lane, the 323 00:18:02,960 --> 00:18:06,360 Speaker 3: former Kelenova CEO. What is his approach his philosophy. 324 00:18:07,119 --> 00:18:09,040 Speaker 6: Well, I just spoke with him and he said that 325 00:18:09,119 --> 00:18:11,560 Speaker 6: he's going to be focused on bringing organic growth to 326 00:18:11,600 --> 00:18:14,600 Speaker 6: the company. We talked a little bit about focusing on 327 00:18:14,640 --> 00:18:16,800 Speaker 6: some of the health and wellness trends that consumers are 328 00:18:16,800 --> 00:18:21,159 Speaker 6: looking for, increasing offerings with protein, with fiber, with shorter 329 00:18:21,359 --> 00:18:24,639 Speaker 6: ingredient lists, you know, the so called cleaner labels. So 330 00:18:24,680 --> 00:18:26,960 Speaker 6: they'll definitely be leaning into that. It sounds like a 331 00:18:26,960 --> 00:18:31,480 Speaker 6: little bit more. He also led Kellogg through its split. 332 00:18:32,080 --> 00:18:35,400 Speaker 6: The Kellig Company split into w K Kellogg and then Kelenova. 333 00:18:35,760 --> 00:18:39,840 Speaker 6: Both of those companies were then separately acquired. I asked 334 00:18:39,920 --> 00:18:41,960 Speaker 6: him if he thought that could be a path here, 335 00:18:42,040 --> 00:18:44,080 Speaker 6: and he said, it's hard to predict the future, so 336 00:18:44,359 --> 00:18:45,160 Speaker 6: not rolling it out. 337 00:18:45,359 --> 00:18:48,040 Speaker 2: So what's been the challenge for craft Minds over the 338 00:18:48,119 --> 00:18:49,639 Speaker 2: last number of years? 339 00:18:50,320 --> 00:18:54,000 Speaker 6: I mean, in general, the food companies are all struggling 340 00:18:54,040 --> 00:18:59,359 Speaker 6: with this shift as consumers move towards healthier, less processed food. 341 00:18:59,400 --> 00:19:02,320 Speaker 6: The company says that they just had too many brands 342 00:19:02,400 --> 00:19:05,159 Speaker 6: and that splitting into two will help them focus on 343 00:19:05,440 --> 00:19:10,359 Speaker 6: each component. I think that there is some analyst chatter 344 00:19:10,440 --> 00:19:12,760 Speaker 6: that that's what companies say when they just need to 345 00:19:13,400 --> 00:19:16,480 Speaker 6: know spin off some of their less profitable items. But 346 00:19:17,359 --> 00:19:19,720 Speaker 6: they will tell you that they expect both companies will 347 00:19:20,080 --> 00:19:22,680 Speaker 6: have better value when there's an ability to focus more 348 00:19:22,720 --> 00:19:25,199 Speaker 6: on the condiments and box meals and then on some 349 00:19:25,240 --> 00:19:26,000 Speaker 6: of the other foods. 350 00:19:26,280 --> 00:19:28,520 Speaker 3: Put this all into context for us when Paul talks 351 00:19:28,520 --> 00:19:31,000 Speaker 3: about how you know this group has been kind of 352 00:19:31,040 --> 00:19:35,439 Speaker 3: struggling overall. We also saw that with PepsiCo with Coca Cola, 353 00:19:35,480 --> 00:19:38,560 Speaker 3: I mean, they have had to rethink their strategy completely. 354 00:19:38,920 --> 00:19:41,359 Speaker 6: Yet there's just been a lot of movement in the 355 00:19:41,359 --> 00:19:45,320 Speaker 6: food industry right now. PepsiCo announced some pretty dramatic changes. 356 00:19:45,320 --> 00:19:47,600 Speaker 6: They're going to reduce the number of products they sell 357 00:19:47,640 --> 00:19:50,080 Speaker 6: by twenty percent and lower prices in some of their 358 00:19:50,160 --> 00:19:54,000 Speaker 6: key brands as part of agreement with activist investor Elliott 359 00:19:54,000 --> 00:19:57,960 Speaker 6: Investment Management. Coke has a new CEO. I think coc 360 00:19:58,080 --> 00:20:02,160 Speaker 6: is in pretty solid shape. They've been doing their shares 361 00:20:02,200 --> 00:20:03,960 Speaker 6: have been doing really well compared to some of the 362 00:20:03,960 --> 00:20:08,199 Speaker 6: other business companies. But yet, in general, the companies that 363 00:20:08,240 --> 00:20:10,960 Speaker 6: I think are really tapping into this health and wellness 364 00:20:10,960 --> 00:20:14,560 Speaker 6: interest in consumers are often the smaller startup brands and 365 00:20:14,600 --> 00:20:16,960 Speaker 6: the big companies are playing catch up not only with them, 366 00:20:17,000 --> 00:20:18,959 Speaker 6: but some of the private label companies too that are 367 00:20:19,000 --> 00:20:21,639 Speaker 6: really nimble and able to get some of these new 368 00:20:21,640 --> 00:20:22,879 Speaker 6: products to market really fast. 369 00:20:23,160 --> 00:20:26,080 Speaker 3: Are thanks to Christina Peterson Bloomberg, a food industry reporter. 370 00:20:26,400 --> 00:20:29,320 Speaker 2: We move next to the biotech sector. Bloomberg Intelligence recent 371 00:20:29,400 --> 00:20:31,960 Speaker 2: came out with research which gives an overview of the 372 00:20:31,960 --> 00:20:33,359 Speaker 2: blood cancer myloma. 373 00:20:33,680 --> 00:20:37,240 Speaker 3: According to Bloomberg Intelligence, multiple maloma patient numbers are rising 374 00:20:37,280 --> 00:20:40,359 Speaker 3: globally due to the aging population and just by an 375 00:20:40,359 --> 00:20:44,400 Speaker 3: evolved treatment landscape that's leveraged the FDA's accelerated drug approval. 376 00:20:44,760 --> 00:20:46,920 Speaker 3: There's still unmet need for more. 377 00:20:46,760 --> 00:20:48,919 Speaker 2: On this and the latest in the biotech sector. We 378 00:20:48,960 --> 00:20:52,040 Speaker 2: were joined by Sam Fazzelli, Bloomberg Intelligence, director of Research 379 00:20:52,080 --> 00:20:54,720 Speaker 2: for Global Industries and senior pharmaceuticals analysts. 380 00:20:54,840 --> 00:20:57,160 Speaker 3: We began by asking Sam, where we are in terms 381 00:20:57,200 --> 00:20:58,040 Speaker 3: of treating maloma. 382 00:20:58,280 --> 00:21:01,119 Speaker 5: Well, let me tell you about these cancers, treatments and 383 00:21:01,160 --> 00:21:05,240 Speaker 5: these cancer areas where patient numbers in terms of those 384 00:21:05,280 --> 00:21:08,760 Speaker 5: who live rather than those who die is fundamentally changing. 385 00:21:09,240 --> 00:21:12,080 Speaker 5: Breast cancer has been one of them. Prostate cancers another one, 386 00:21:12,760 --> 00:21:16,200 Speaker 5: melanoma is another one which of course people are familiar with, 387 00:21:16,200 --> 00:21:18,200 Speaker 5: and of course myloma has been one that we've also 388 00:21:18,240 --> 00:21:21,360 Speaker 5: got there. There are patients who are alive today who 389 00:21:21,400 --> 00:21:26,080 Speaker 5: were diagnosed in nineteen ninety six, nineteen ninety eight, and 390 00:21:26,119 --> 00:21:29,639 Speaker 5: there are and there have been people developments in that 391 00:21:29,720 --> 00:21:33,960 Speaker 5: space that literally are changing completely the way that people 392 00:21:34,040 --> 00:21:36,439 Speaker 5: end up living with their disease. Of course, it's not 393 00:21:36,480 --> 00:21:39,879 Speaker 5: for everybody that ends up like that, but the average 394 00:21:42,000 --> 00:21:45,240 Speaker 5: mortality or the average life expectance you have the patients 395 00:21:45,240 --> 00:21:48,720 Speaker 5: with maloma has significantly changed. And what is it. It's 396 00:21:48,720 --> 00:21:51,000 Speaker 5: a cancer of the bone marrow, which then of course 397 00:21:51,359 --> 00:21:54,080 Speaker 5: translates to some changes in your blood, so he's a 398 00:21:54,119 --> 00:21:58,399 Speaker 5: hematological cancer. And yet another major development in the last 399 00:21:58,920 --> 00:22:02,600 Speaker 5: week or so that came out at Orlando, a conference 400 00:22:02,680 --> 00:22:04,600 Speaker 5: that was held last week. 401 00:22:05,240 --> 00:22:07,640 Speaker 3: What is the treatment landscape then for myloma? 402 00:22:08,840 --> 00:22:11,800 Speaker 5: Yeah, so, given that it goes on for so long, 403 00:22:11,920 --> 00:22:16,040 Speaker 5: now we've got first line, second line, third line, fourth line, fifth, 404 00:22:16,680 --> 00:22:19,080 Speaker 5: et cetera. Right, there's so many patients. There are some 405 00:22:19,119 --> 00:22:21,320 Speaker 5: patients that enter trials these days that have had eight 406 00:22:21,400 --> 00:22:24,520 Speaker 5: lines of therapy. But that's I would say, a good thing. 407 00:22:24,680 --> 00:22:26,760 Speaker 5: That means we have drugs to treat people every time 408 00:22:26,800 --> 00:22:30,960 Speaker 5: they fail a previous one. The most exciting recent development 409 00:22:31,080 --> 00:22:33,280 Speaker 5: was this data that came out of Johnson and Johnson's 410 00:22:33,520 --> 00:22:37,800 Speaker 5: trial called Majestic three, which takes a special type of antibody, 411 00:22:39,080 --> 00:22:42,240 Speaker 5: married it with a well known accepted drug on the 412 00:22:42,240 --> 00:22:45,359 Speaker 5: market today called Darzelex. Also another J and J Rug 413 00:22:45,800 --> 00:22:49,920 Speaker 5: and Lo and behold. At thirty six months therapy, eighty 414 00:22:49,960 --> 00:22:53,800 Speaker 5: three percent of patients were alive versus the next big thing, 415 00:22:54,040 --> 00:22:57,480 Speaker 5: best thing that we've just had recently added to the 416 00:22:57,880 --> 00:23:02,719 Speaker 5: armamentarium at about fifty the massive shift in survival. I mean, 417 00:23:02,760 --> 00:23:06,040 Speaker 5: these are things that we don't often see in oncology. 418 00:23:06,440 --> 00:23:08,639 Speaker 5: Do you see it? You get standing ovations and you 419 00:23:08,680 --> 00:23:11,119 Speaker 5: get celebrations because it makes a huge different to patience. 420 00:23:11,359 --> 00:23:12,960 Speaker 5: So that's what we've been seeing recently. 421 00:23:13,280 --> 00:23:15,320 Speaker 2: I say, I'm here in the United States. The Trump 422 00:23:15,320 --> 00:23:18,760 Speaker 2: administration has taking a real hard line against some federal 423 00:23:18,800 --> 00:23:21,760 Speaker 2: funding of universities, and I know a lot of universities 424 00:23:21,800 --> 00:23:26,480 Speaker 2: are saying that's really hitting their funding for their medical centers, 425 00:23:27,080 --> 00:23:30,280 Speaker 2: for example, some of the medical research. Are you seeing that? 426 00:23:30,359 --> 00:23:33,280 Speaker 2: Are you hearing that from the companies? Is the effects 427 00:23:33,720 --> 00:23:35,679 Speaker 2: are they being felt yet? Or is that something in 428 00:23:35,680 --> 00:23:36,119 Speaker 2: the future. 429 00:23:37,520 --> 00:23:40,199 Speaker 5: No, I would say that type of research funding is 430 00:23:40,240 --> 00:23:43,159 Speaker 5: something that's going to translate into trouble in five to 431 00:23:43,200 --> 00:23:47,480 Speaker 5: ten years time if indeed it sticks, and if indeed 432 00:23:47,600 --> 00:23:50,120 Speaker 5: you really end up with people not being able to 433 00:23:50,160 --> 00:23:52,679 Speaker 5: start a scientific career because they can't get money to 434 00:23:52,680 --> 00:23:56,399 Speaker 5: do their research. Now, I had a conversation with somebody 435 00:23:56,480 --> 00:23:59,520 Speaker 5: who said, actually, it's not as bad as it sounds, 436 00:23:59,640 --> 00:24:01,920 Speaker 5: only some areas that are being caught. The budget hasn't 437 00:24:01,960 --> 00:24:05,159 Speaker 5: been halved, And then others tell me something different. So 438 00:24:05,240 --> 00:24:07,440 Speaker 5: let's see how this all pans out in twenty twenty six. 439 00:24:07,520 --> 00:24:10,040 Speaker 5: But if it goes in the bad way that you 440 00:24:10,080 --> 00:24:12,240 Speaker 5: were just referring to, you're going to end up with 441 00:24:12,320 --> 00:24:15,320 Speaker 5: fewer scientists in five to ten years time in US 442 00:24:15,480 --> 00:24:19,879 Speaker 5: universities developing these new ideas. And then of course betters 443 00:24:19,920 --> 00:24:24,080 Speaker 5: that all go China and they are doing a fantastic 444 00:24:24,200 --> 00:24:28,720 Speaker 5: job of getting their research funded and pushed. And that's 445 00:24:28,800 --> 00:24:32,000 Speaker 5: where I think we all US and Europe need to 446 00:24:32,040 --> 00:24:34,679 Speaker 5: watch because you will lose the competitiveness angle. 447 00:24:34,840 --> 00:24:37,840 Speaker 2: Our Thanks to Sam Fazelli, Bloomberg Intelligence, Director of Research 448 00:24:37,840 --> 00:24:40,760 Speaker 2: for Global Industries and Senior Pharmaceuticals analyst. 449 00:24:40,600 --> 00:24:43,040 Speaker 3: Coming up, Well, look at why the global management consulting 450 00:24:43,040 --> 00:24:45,080 Speaker 3: firm McKenzie is cutting headcount. 451 00:24:45,200 --> 00:24:47,960 Speaker 2: You're listening to Bloomberg Intelligence on Bloomberg Radio of writing 452 00:24:48,000 --> 00:24:50,119 Speaker 2: in depth research and data on two thousand companies and 453 00:24:50,119 --> 00:24:51,320 Speaker 2: one hundred and thirty industries. 454 00:24:51,400 --> 00:24:53,679 Speaker 3: You can access Bloomberg Intelligence through b I go on 455 00:24:53,760 --> 00:24:55,440 Speaker 3: the terminal. I'm Scarlett Faxe. 456 00:24:55,280 --> 00:24:57,320 Speaker 2: And I'm Paul Sweeney, and this is Bloomberg. 457 00:25:05,119 --> 00:25:09,600 Speaker 1: This is Bloomberg Intelligence with Scarlett foo and Paul Sweeney 458 00:25:09,960 --> 00:25:11,440 Speaker 1: on Bloomberg Radio. 459 00:25:12,080 --> 00:25:14,480 Speaker 2: We move next to some news at the global management 460 00:25:14,480 --> 00:25:15,959 Speaker 2: consulting firm McKenzie and Company. 461 00:25:16,080 --> 00:25:18,400 Speaker 3: This week, the firm announced its leadership is cutting about 462 00:25:18,400 --> 00:25:22,000 Speaker 3: ten percent of headcount across non client facing departments. 463 00:25:21,560 --> 00:25:24,560 Speaker 2: Good amount to a few thousand job cups over eighteen 464 00:25:24,600 --> 00:25:26,399 Speaker 2: to twenty four months. And this comes even as the 465 00:25:26,480 --> 00:25:28,840 Speaker 2: firm marks its one hundred year anniversary. 466 00:25:28,920 --> 00:25:31,760 Speaker 3: McKenzie's revenue growth has flatlined in the last five years, 467 00:25:31,840 --> 00:25:34,280 Speaker 3: leading to a reset after some rapid hiring over the 468 00:25:34,359 --> 00:25:35,240 Speaker 3: prior decade. 469 00:25:35,320 --> 00:25:36,800 Speaker 2: For more on all of this, we were joined by 470 00:25:36,880 --> 00:25:40,280 Speaker 2: shri Na Aranjin, Bloomberg News Chief Wall Street correspondent. 471 00:25:40,440 --> 00:25:42,639 Speaker 3: We began by asking Tree to breakdown why the firm's 472 00:25:42,680 --> 00:25:44,680 Speaker 3: last five years have been so disappointing. 473 00:25:45,080 --> 00:25:48,720 Speaker 9: Around twenty twenty one, McKenzie revenue at the fifteen billion 474 00:25:48,720 --> 00:25:50,680 Speaker 9: dollar monk. Here we are in twenty twenty four to 475 00:25:50,680 --> 00:25:52,879 Speaker 9: twenty five. By the timesas y RNZ, we're going to 476 00:25:52,880 --> 00:25:55,200 Speaker 9: be sixteen billion, just a little bit over. So they've 477 00:25:55,200 --> 00:25:58,280 Speaker 9: operated in this narrow band of fifteen billion dollars to 478 00:25:58,320 --> 00:26:01,520 Speaker 9: sixteen billion dollars an annual revenue, which is great. Any 479 00:26:01,560 --> 00:26:05,480 Speaker 9: other management consulting firm would absolutely love to post numbers 480 00:26:05,520 --> 00:26:07,880 Speaker 9: like that. For McKinsey, it is a sense that their 481 00:26:07,920 --> 00:26:11,120 Speaker 9: revenue has flatlined a little bit. And you did mention 482 00:26:11,320 --> 00:26:14,960 Speaker 9: their one hundred year celebrations right which twenty twenty six, 483 00:26:15,000 --> 00:26:17,360 Speaker 9: that is when they will turn one hundred. So they 484 00:26:17,400 --> 00:26:20,480 Speaker 9: had this annual partner gathering which also doubled up as 485 00:26:20,520 --> 00:26:23,119 Speaker 9: this kickoff for their one hundred year festivities. And for 486 00:26:23,160 --> 00:26:26,119 Speaker 9: those who were there who listened to Bob's Turnfels, the 487 00:26:26,160 --> 00:26:29,520 Speaker 9: global managing partner at McKenzie, the de facto leader, you 488 00:26:29,600 --> 00:26:33,600 Speaker 9: could sense some plan spoken bravado. He was asking people, 489 00:26:33,680 --> 00:26:36,200 Speaker 9: are you in for this mission? And those who say yes, 490 00:26:36,640 --> 00:26:38,879 Speaker 9: I can assure you good times are ahead, because it 491 00:26:38,920 --> 00:26:40,919 Speaker 9: is also an acknowledgment that the last few years have 492 00:26:41,000 --> 00:26:44,480 Speaker 9: been rocky, not just from its standpoint of its financial health, 493 00:26:44,560 --> 00:26:46,320 Speaker 9: but you have to think about some of the challenges 494 00:26:46,320 --> 00:26:49,439 Speaker 9: in the controversies that McKenzie has had to navigate, the 495 00:26:49,480 --> 00:26:52,080 Speaker 9: opioid scandal, some of the criticism over their work in 496 00:26:52,240 --> 00:26:54,240 Speaker 9: China and Saudi Arabia and even back home here in 497 00:26:54,280 --> 00:26:58,480 Speaker 9: the US with Ice for instance. These are questions that 498 00:26:58,560 --> 00:27:00,840 Speaker 9: were asked and stuff that McKenzie has had to answer, 499 00:27:01,240 --> 00:27:06,040 Speaker 9: and it presented an unwelcome distraction. But the bottom line 500 00:27:06,119 --> 00:27:09,320 Speaker 9: is for this firm is when it looks at its numbers, 501 00:27:09,760 --> 00:27:13,399 Speaker 9: it does realize people weren't like hearing this, but at 502 00:27:13,440 --> 00:27:15,960 Speaker 9: management levels that's how they talk about it. It realized 503 00:27:15,960 --> 00:27:19,040 Speaker 9: that there was some bloat and the message that's percolating 504 00:27:19,040 --> 00:27:21,679 Speaker 9: through the firm right now is it's time to get leaner. 505 00:27:22,520 --> 00:27:24,800 Speaker 2: I was interviewing with McKinsey when I was in business school, 506 00:27:25,040 --> 00:27:26,960 Speaker 2: and like the second round, they asked me to get 507 00:27:27,040 --> 00:27:29,199 Speaker 2: up in on a whiteboard and sketch out kind of 508 00:27:29,240 --> 00:27:32,399 Speaker 2: like a business flow model. I just turned to them 509 00:27:32,440 --> 00:27:34,320 Speaker 2: and said thank you, but no thank you and walked 510 00:27:34,359 --> 00:27:36,800 Speaker 2: out the door. Anytime you bring a whiteboard, I'm out 511 00:27:36,800 --> 00:27:40,320 Speaker 2: of there. I can't think like it. So when trade 512 00:27:40,359 --> 00:27:43,720 Speaker 2: it stocks for a living? After that, shre Why has 513 00:27:43,840 --> 00:27:47,320 Speaker 2: revenue been flat? Here? Is there some concern that maybe 514 00:27:47,359 --> 00:27:52,200 Speaker 2: all this AI spending is taken away from other budgets 515 00:27:52,240 --> 00:27:54,320 Speaker 2: where maybe I don't need the consulting or. 516 00:27:54,680 --> 00:27:58,359 Speaker 9: That's certainly the concern on the forward perhaps, but just 517 00:27:58,400 --> 00:28:01,520 Speaker 9: in the last few years, the the reality of the industry, 518 00:28:01,520 --> 00:28:03,439 Speaker 9: and McKinsey in some ways is the flag bearer for 519 00:28:03,480 --> 00:28:07,080 Speaker 9: the industry. But there are perhaps other major consulting firms 520 00:28:07,119 --> 00:28:08,919 Speaker 9: that are struggling even more. And the fact is that 521 00:28:09,000 --> 00:28:13,080 Speaker 9: the demand for traditional consulting services may not be as 522 00:28:13,160 --> 00:28:16,160 Speaker 9: high as it used to be. Companies and clients are 523 00:28:16,200 --> 00:28:20,480 Speaker 9: getting cost conscious. When your clients are not able to 524 00:28:20,560 --> 00:28:24,479 Speaker 9: post great revenue growth, the only other level that they 525 00:28:24,520 --> 00:28:28,320 Speaker 9: can pull is expenses, and consulting fees are the first 526 00:28:28,320 --> 00:28:29,280 Speaker 9: ones thrown out. 527 00:28:29,119 --> 00:28:30,960 Speaker 2: The window, right Advertising is the first one. 528 00:28:30,960 --> 00:28:35,520 Speaker 3: I think, advertising, then consulting perhaps, But is mckensey's solutions 529 00:28:35,560 --> 00:28:37,280 Speaker 3: so out of the box. I mean, at this point 530 00:28:37,480 --> 00:28:40,800 Speaker 3: what McKinsey recommends is kind of dogma in corporate boardrooms. 531 00:28:40,800 --> 00:28:42,680 Speaker 3: You don't need to hire McKenzie to tell you how 532 00:28:42,680 --> 00:28:43,680 Speaker 3: to do some of these things. 533 00:28:44,000 --> 00:28:46,640 Speaker 9: Look, and I think the way you're framing it is 534 00:28:46,680 --> 00:28:49,560 Speaker 9: just a little bit more of a polite way of 535 00:28:49,880 --> 00:28:51,720 Speaker 9: some of the memes that you see out there right, 536 00:28:51,760 --> 00:28:55,000 Speaker 9: which is this idea that all that consulting firms do 537 00:28:55,280 --> 00:29:00,360 Speaker 9: is prescribe, grow revenue and cut costs. You know, in 538 00:29:00,360 --> 00:29:02,760 Speaker 9: the moment, it might be funny, but to some extent 539 00:29:02,920 --> 00:29:07,120 Speaker 9: it is an oversimplification of what they do because if 540 00:29:07,160 --> 00:29:10,280 Speaker 9: you look at the list of clients that they've wrapped up. 541 00:29:10,400 --> 00:29:12,720 Speaker 9: We talked about them starting out in nineteen twenty six 542 00:29:13,480 --> 00:29:18,720 Speaker 9: university professor who advised a local meatpacker, Armors and company. 543 00:29:19,040 --> 00:29:21,920 Speaker 9: From that, what they've grown up to they are the 544 00:29:22,080 --> 00:29:25,200 Speaker 9: go to advisor to blue chip companies from Coca Cola 545 00:29:25,280 --> 00:29:27,960 Speaker 9: and Goldman Sacks to everyone else, and also countries that 546 00:29:28,040 --> 00:29:30,000 Speaker 9: span the globe, and a lot of these people are 547 00:29:30,040 --> 00:29:32,560 Speaker 9: repeat clients. So you have to assume that it's not 548 00:29:32,760 --> 00:29:36,240 Speaker 9: as simple as wrote advice that they're doling out, because 549 00:29:36,480 --> 00:29:39,040 Speaker 9: for these big companies to turn to McKinzie again and 550 00:29:39,080 --> 00:29:42,120 Speaker 9: again tells you that they see value in most of 551 00:29:42,200 --> 00:29:45,240 Speaker 9: what they do. There might be some extreme cases on 552 00:29:45,280 --> 00:29:48,000 Speaker 9: either side. One it might be some undesirable work and 553 00:29:48,040 --> 00:29:51,120 Speaker 9: two it might just be obvious advice. But for the 554 00:29:51,160 --> 00:29:54,000 Speaker 9: most part, they're clearly doing something that companies value and 555 00:29:54,080 --> 00:29:55,160 Speaker 9: country's value. 556 00:29:55,360 --> 00:29:58,560 Speaker 3: Speaking of countries, you mentioned China and Saudi Arabia, China 557 00:29:59,040 --> 00:30:03,480 Speaker 3: wants its company is to continue to bring in consults, 558 00:30:03,480 --> 00:30:05,600 Speaker 3: but they just want them to be homegrown. 559 00:30:05,200 --> 00:30:07,640 Speaker 9: Consultants, right and like that seems to be the push 560 00:30:07,640 --> 00:30:10,200 Speaker 9: in China, which is a good job relying on all 561 00:30:10,280 --> 00:30:12,520 Speaker 9: of these Western firms to figure out how you need 562 00:30:12,560 --> 00:30:15,400 Speaker 9: to modernize and be ready to compete on a global scale, 563 00:30:15,520 --> 00:30:17,640 Speaker 9: but they are also encouraging them now to turn to 564 00:30:17,920 --> 00:30:21,280 Speaker 9: homegrown consulting firms. Saudi Arabia is a completely different channel. 565 00:30:21,320 --> 00:30:24,440 Speaker 9: We have a person at McKenzie. You estimated that in 566 00:30:24,480 --> 00:30:26,760 Speaker 9: the prior decades are twenty fourteen to twenty twenty for 567 00:30:26,920 --> 00:30:30,720 Speaker 9: McKinsey earned at least five hundred million dollars a year 568 00:30:30,720 --> 00:30:33,800 Speaker 9: from the kingdom, which is either with companies affiliated with 569 00:30:33,880 --> 00:30:37,080 Speaker 9: Saudi Arabia or the government itself. But the challenge in 570 00:30:37,120 --> 00:30:39,880 Speaker 9: Saudi Arabia is also obviously you've seen some of the 571 00:30:39,920 --> 00:30:43,400 Speaker 9: recent headlines where they're pulling back on consulting expenses. Some 572 00:30:43,480 --> 00:30:45,719 Speaker 9: of these pie in the sky projects are not working 573 00:30:45,760 --> 00:30:48,680 Speaker 9: out as they had hoped for, and again consulting fees 574 00:30:48,680 --> 00:30:51,440 Speaker 9: are going away. And Saudi Arabia had become one of 575 00:30:51,520 --> 00:30:55,800 Speaker 9: mckinzie's most important clients globally, so that is obviously also 576 00:30:56,200 --> 00:30:59,360 Speaker 9: a place where they don't necessarily see a lot of 577 00:30:59,480 --> 00:30:59,920 Speaker 9: room for. 578 00:31:01,040 --> 00:31:04,680 Speaker 2: Our Thanks to shred Narajen, Bloomberg News Chief Wall Street correspondent. 579 00:31:05,000 --> 00:31:07,400 Speaker 3: This week we looked at another Bloomberg Big Take story 580 00:31:07,400 --> 00:31:10,680 Speaker 3: called a Shadowy Global Network helped Trump make millions and 581 00:31:10,760 --> 00:31:11,400 Speaker 3: meme coins. 582 00:31:11,560 --> 00:31:14,120 Speaker 2: You can find out on Bloomberg dot Com and The Terminal. 583 00:31:14,240 --> 00:31:16,440 Speaker 2: The story looks at how Donald and Melania Trump have 584 00:31:16,520 --> 00:31:18,640 Speaker 2: made millions from meme cooin hip. 585 00:31:18,880 --> 00:31:20,320 Speaker 3: For more on this, we're joined by one of the 586 00:31:20,320 --> 00:31:23,320 Speaker 3: stories authors, Zeke Fox, Bloomberg investigative reporter. 587 00:31:23,680 --> 00:31:26,000 Speaker 2: We first asked Zeke to give us more context on 588 00:31:26,040 --> 00:31:26,560 Speaker 2: this story. 589 00:31:27,200 --> 00:31:29,280 Speaker 10: During his first term, just a couple of years ago, 590 00:31:29,360 --> 00:31:34,720 Speaker 10: Trump was calling crypto a scam. But as he prepared 591 00:31:34,760 --> 00:31:37,720 Speaker 10: to take office this time, he and his family started 592 00:31:39,520 --> 00:31:44,080 Speaker 10: two big crypto ventures. And for this story, I went 593 00:31:44,320 --> 00:31:48,080 Speaker 10: deep on kind of the silliest one, which is the 594 00:31:48,160 --> 00:31:50,280 Speaker 10: Trump and Millennia meme coins. 595 00:31:50,400 --> 00:31:51,280 Speaker 2: I forgot about that one. 596 00:31:51,520 --> 00:31:51,680 Speaker 5: Yeah. 597 00:31:51,720 --> 00:31:54,640 Speaker 10: So this was on the eve of inauguration the president 598 00:31:54,720 --> 00:31:56,880 Speaker 10: and then his wife both announced they were creating new 599 00:31:56,880 --> 00:32:01,600 Speaker 10: cryptocurrencies that didn't do anything at all. And these are 600 00:32:01,680 --> 00:32:05,680 Speaker 10: like transparently useless. It's kind of like a gambling game. 601 00:32:06,680 --> 00:32:08,800 Speaker 10: And at the time this was really hot in crypto, 602 00:32:09,280 --> 00:32:12,520 Speaker 10: so many people dived in that on paper for just 603 00:32:12,560 --> 00:32:16,560 Speaker 10: a second, the Trump meme coin. The Trump family had 604 00:32:16,960 --> 00:32:20,080 Speaker 10: fifty billion dollars of holdings of this meme coin. But 605 00:32:21,520 --> 00:32:23,920 Speaker 10: this is a crypto world where things can go poof overnight. 606 00:32:25,080 --> 00:32:29,160 Speaker 10: The best estimates we've found from chainalysis and bubble maps 607 00:32:29,160 --> 00:32:32,040 Speaker 10: to crypto research firms were that the Trump family made 608 00:32:32,040 --> 00:32:35,520 Speaker 10: about three hundred and fifty million dollars of real profit 609 00:32:35,640 --> 00:32:37,280 Speaker 10: on these meme coins. 610 00:32:38,160 --> 00:32:41,959 Speaker 3: Wow, help them market these coins? Who helped them, you know, 611 00:32:42,760 --> 00:32:46,800 Speaker 3: presumably profit off of that. That's the gist of your story. 612 00:32:46,920 --> 00:32:49,680 Speaker 3: And was it a difficult question to answer? 613 00:32:49,880 --> 00:32:51,680 Speaker 10: Yeah, Like, on the one hand, the whole thing sort 614 00:32:51,720 --> 00:32:54,560 Speaker 10: of happened in the open, and it felt like there 615 00:32:54,680 --> 00:32:57,200 Speaker 10: was we sort of knew what happened. On the other hand, 616 00:32:57,240 --> 00:32:59,320 Speaker 10: as I tried to dive in and figure out who 617 00:32:59,440 --> 00:33:03,120 Speaker 10: was behind this. It was really tough. You'd think that 618 00:33:03,120 --> 00:33:06,040 Speaker 10: people might be proud to say that they'd helped the 619 00:33:06,080 --> 00:33:10,000 Speaker 10: president with an important business venture, but really nobody was talking. 620 00:33:10,440 --> 00:33:12,960 Speaker 10: The trail took us in a very convoluted way, but 621 00:33:13,000 --> 00:33:17,720 Speaker 10: it ended up with a guy who uses an icon 622 00:33:17,760 --> 00:33:21,480 Speaker 10: of a cartoon cat wearing an astronaut suit on Twitter. 623 00:33:21,840 --> 00:33:26,600 Speaker 10: He goes only by mew and he runs a crypto exchange. 624 00:33:26,840 --> 00:33:28,880 Speaker 10: Or he was the co founder of a crypto exchange 625 00:33:28,920 --> 00:33:33,080 Speaker 10: called Metiora that was actually home to a ton of 626 00:33:33,120 --> 00:33:36,920 Speaker 10: these giant mean coin launches, and all of them were 627 00:33:37,320 --> 00:33:39,600 Speaker 10: Most of them seemed to follow this pattern where they'd 628 00:33:40,080 --> 00:33:42,000 Speaker 10: go up a lot on hype when they got announced 629 00:33:42,000 --> 00:33:46,560 Speaker 10: and then soon crash, and we were trying to figure out, 630 00:33:46,680 --> 00:33:50,479 Speaker 10: you know, who knew what When the trail took us 631 00:33:50,480 --> 00:33:54,200 Speaker 10: to Istanbul to Singapore, you got to read the story 632 00:33:54,240 --> 00:33:56,320 Speaker 10: to see how close we got. 633 00:33:56,600 --> 00:34:01,560 Speaker 2: So what was Is the meme coins still in existence? 634 00:34:02,160 --> 00:34:05,040 Speaker 10: Yeah, these things like never really die, but there's uh, 635 00:34:05,120 --> 00:34:08,000 Speaker 10: there's no excitement around it anymore. The price is down 636 00:34:08,040 --> 00:34:10,720 Speaker 10: about ninety percent from its peak. 637 00:34:11,400 --> 00:34:12,320 Speaker 2: Do I find the price? 638 00:34:13,120 --> 00:34:16,320 Speaker 10: You know, their coin market is a pretty big uh 639 00:34:16,960 --> 00:34:21,120 Speaker 10: uh crypto tracking site. But one funny thing we found 640 00:34:21,120 --> 00:34:24,160 Speaker 10: in reporting this was talking to meme coin traders. A 641 00:34:24,200 --> 00:34:27,800 Speaker 10: lot of them said that Trump actually killed this boom. 642 00:34:28,239 --> 00:34:29,879 Speaker 10: Like for a while, we were all having a lot 643 00:34:29,880 --> 00:34:32,719 Speaker 10: of fun trading these meme coins, but the Trump's made 644 00:34:32,760 --> 00:34:36,080 Speaker 10: so much money off theirs that the gamblers in the 645 00:34:36,080 --> 00:34:40,320 Speaker 10: casino were like, you know what, we're we've emptied our pockets, 646 00:34:40,320 --> 00:34:42,560 Speaker 10: we got We're done with this. We need bring on 647 00:34:42,600 --> 00:34:44,759 Speaker 10: prediction markets. We need something different to gamble on. 648 00:34:45,040 --> 00:34:47,960 Speaker 3: So are meme coins they peaked already, they've died or 649 00:34:48,040 --> 00:34:50,839 Speaker 3: I mean they're still there, but no one's making money 650 00:34:50,840 --> 00:34:52,000 Speaker 3: off of them the way they used to. 651 00:34:52,280 --> 00:34:54,399 Speaker 10: Yeah, it's a little bit like if you remember the 652 00:34:54,640 --> 00:35:00,359 Speaker 10: NFT bubble, the like uh digital crypto art. For minute, 653 00:35:00,400 --> 00:35:03,000 Speaker 10: it's hot and people are making good money, they're telling 654 00:35:03,040 --> 00:35:09,040 Speaker 10: their friends, and then at some point people just they 655 00:35:09,080 --> 00:35:11,120 Speaker 10: crashes and people move on. So a lot of the 656 00:35:11,160 --> 00:35:14,680 Speaker 10: same people who were in on NFTs got in on 657 00:35:14,880 --> 00:35:18,800 Speaker 10: meme coins and while this was while this was running, 658 00:35:18,840 --> 00:35:21,560 Speaker 10: it was a great business. We talked to one twenty 659 00:35:21,600 --> 00:35:24,799 Speaker 10: two year old who started one of the biggest meme 660 00:35:24,880 --> 00:35:28,200 Speaker 10: coin creation and trading apps, his company, which just had 661 00:35:28,200 --> 00:35:32,560 Speaker 10: a few employees generated a billion dollars from the during 662 00:35:32,560 --> 00:35:35,600 Speaker 10: this meme coin bubble. But now a lot of the 663 00:35:35,680 --> 00:35:38,440 Speaker 10: people who are excited about meme coins have moved on 664 00:35:38,600 --> 00:35:42,719 Speaker 10: to prediction markets, where the Trump family has its own 665 00:35:43,160 --> 00:35:44,560 Speaker 10: interests as well. 666 00:35:45,000 --> 00:35:47,960 Speaker 3: Yeah, Don Junior, right, has some pretty big stakes or 667 00:35:48,000 --> 00:35:49,960 Speaker 3: it has a pretty key role in some of the companies. 668 00:35:50,160 --> 00:35:54,920 Speaker 10: Yeah, he is an advisor to both Calshie and poly Market, 669 00:35:55,160 --> 00:35:59,520 Speaker 10: the two big prediction markets. And then the Trump families 670 00:36:00,080 --> 00:36:05,680 Speaker 10: social media platform truth Social has announced plans to create 671 00:36:05,719 --> 00:36:08,840 Speaker 10: its own prediction market. But it's kind of a pattern 672 00:36:08,840 --> 00:36:12,120 Speaker 10: where the Trump family has these business interests in this 673 00:36:12,960 --> 00:36:15,959 Speaker 10: kind of gray area market, and then the Trump administration 674 00:36:16,560 --> 00:36:20,280 Speaker 10: is creating rules that are legalizing these markets and helping 675 00:36:20,360 --> 00:36:21,640 Speaker 10: make them grow. 676 00:36:22,120 --> 00:36:25,240 Speaker 2: As President Trump or his family or his administration comment 677 00:36:25,560 --> 00:36:28,919 Speaker 2: on your story or about the mean coin part of it, So. 678 00:36:30,320 --> 00:36:33,880 Speaker 10: The Press secretary got back to us, not really getting 679 00:36:33,880 --> 00:36:36,960 Speaker 10: into the specifics, but just saying, hey, the Trump family 680 00:36:37,000 --> 00:36:40,919 Speaker 10: would never engage in conflicts of interest, but not really 681 00:36:40,960 --> 00:36:45,520 Speaker 10: addressing how they manage having interests in both the business 682 00:36:45,520 --> 00:36:49,320 Speaker 10: side and being in charge of drafting the rules. 683 00:36:49,880 --> 00:36:51,520 Speaker 2: And I guess no one cares anymore. 684 00:36:53,120 --> 00:36:57,680 Speaker 10: I'd like to think that people still care. But you know, 685 00:36:57,719 --> 00:37:00,880 Speaker 10: when it came normally you have like let's say this 686 00:37:01,000 --> 00:37:03,480 Speaker 10: was the stock market and somebody created like a penny 687 00:37:03,520 --> 00:37:06,399 Speaker 10: stock that went up, you know, one thousand xs in trash. Yeah, 688 00:37:06,560 --> 00:37:09,560 Speaker 10: somebody would be diving in. They'd be digging through people's messages. 689 00:37:09,600 --> 00:37:12,000 Speaker 10: They've been trying to figure out what happened meme coins. 690 00:37:12,360 --> 00:37:14,759 Speaker 10: A few weeks after Trump was elected, the SEC has 691 00:37:14,760 --> 00:37:19,360 Speaker 10: put out a statement that basically said not our business, okay, 692 00:37:19,440 --> 00:37:22,279 Speaker 10: And nobody has stepped up to look into these yet 693 00:37:22,680 --> 00:37:23,240 Speaker 10: our Thanks. 694 00:37:23,080 --> 00:37:25,080 Speaker 3: To Zeke Fox, Bloomberg Investigative Reporter. 695 00:37:25,320 --> 00:37:28,000 Speaker 2: That's this week's edition of Bloomberg Intelligence on Bloomberg Radio, 696 00:37:28,080 --> 00:37:30,640 Speaker 2: providing in research and data on two thousand companies and 697 00:37:30,680 --> 00:37:31,920 Speaker 2: one hundred and thirty industries. 698 00:37:32,000 --> 00:37:34,600 Speaker 3: And remember you can access Bloomberg Intelligence via b I 699 00:37:34,719 --> 00:37:36,840 Speaker 3: go on the terminal. I'm Scarlett Foo and. 700 00:37:36,840 --> 00:37:39,239 Speaker 2: I'm Paul Sweeney. Stay with us. Today's top stories and 701 00:37:39,280 --> 00:37:42,319 Speaker 2: global business headlines are coming up right now