1 00:00:02,440 --> 00:00:09,119 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:09,160 --> 00:00:13,320 Speaker 1: Bloomberg Intelligence podcast. Catch us live weekdays at ten am 3 00:00:13,360 --> 00:00:16,360 Speaker 1: Eastern on Apple Cardplay and Android Auto with the Bloomberg 4 00:00:16,400 --> 00:00:19,840 Speaker 1: Business App. Listen on demand wherever you get your podcasts, 5 00:00:19,960 --> 00:00:21,680 Speaker 1: or watch us live on YouTube. 6 00:00:23,000 --> 00:00:24,520 Speaker 2: Let's get back to the other story of the morning, 7 00:00:24,520 --> 00:00:27,680 Speaker 2: and that's what's happening with Google. So joining us as man, 8 00:00:27,720 --> 00:00:30,800 Speaker 2: you've seing Bloomberg Intelligence senior tech industry analyst on a 9 00:00:30,840 --> 00:00:35,400 Speaker 2: potential Google breakup. Okay, so the DOJ considering asking a 10 00:00:35,400 --> 00:00:37,760 Speaker 2: federal judge to force Google to sell off parts of 11 00:00:37,760 --> 00:00:40,720 Speaker 2: its business. What do you think is actually going to happen? 12 00:00:41,320 --> 00:00:44,960 Speaker 3: Well, so there are three big lawsuits out there against 13 00:00:45,000 --> 00:00:48,720 Speaker 3: Google in the US, two from DOJ. One is the 14 00:00:48,800 --> 00:00:52,920 Speaker 3: monopoly lawsuit with the lost and that's where we're looking 15 00:00:52,960 --> 00:00:56,400 Speaker 3: at remedies. The other one is also from DJ against 16 00:00:56,400 --> 00:01:00,120 Speaker 3: their ad tech business, where the DOJ is looking at 17 00:01:00,160 --> 00:01:02,920 Speaker 3: their at tech stack and how you know they control 18 00:01:02,960 --> 00:01:05,640 Speaker 3: all parts of this stack. The third one is from 19 00:01:05,760 --> 00:01:10,680 Speaker 3: the you know, different state attorney journals, again targeting their 20 00:01:10,800 --> 00:01:14,480 Speaker 3: attach business. So when I look at you know, everything 21 00:01:14,720 --> 00:01:19,040 Speaker 3: that obviously regulators want to change with Google. The ad 22 00:01:19,080 --> 00:01:21,960 Speaker 3: tech piece is the one which comes up over and 23 00:01:22,040 --> 00:01:25,039 Speaker 3: over again, the fact that they control different parts of 24 00:01:25,120 --> 00:01:28,720 Speaker 3: the ads TAC. Now in the monopoly lawsuit, they're talking 25 00:01:28,720 --> 00:01:31,959 Speaker 3: about a force breakup of the Chrome business or the 26 00:01:32,040 --> 00:01:35,959 Speaker 3: play store business, Android business. I think it's very hard 27 00:01:36,319 --> 00:01:38,720 Speaker 3: to take out, you know, a single product from a 28 00:01:38,760 --> 00:01:41,480 Speaker 3: company like Google and say this is a separate entity. 29 00:01:41,520 --> 00:01:44,680 Speaker 3: It's just like it's all run or shared infrastructure. I 30 00:01:44,680 --> 00:01:49,000 Speaker 3: can't imagine you know, doing that with Google, and you know, 31 00:01:49,080 --> 00:01:51,680 Speaker 3: doing it successfully in the sense that Android can be 32 00:01:51,720 --> 00:01:55,600 Speaker 3: a separate company. Maybe YouTube, But again with YouTube, it's 33 00:01:55,680 --> 00:01:58,320 Speaker 3: run on that same infrastructure that searches run on. So 34 00:01:58,400 --> 00:02:00,800 Speaker 3: how do you split that infrastructure. It's very hard to 35 00:02:00,800 --> 00:02:01,920 Speaker 3: do it at the product level. 36 00:02:01,960 --> 00:02:03,880 Speaker 4: All right, here's some inside Bloomberg for you. You can 37 00:02:03,920 --> 00:02:06,560 Speaker 4: get really smart on a new piece of information that 38 00:02:06,640 --> 00:02:08,720 Speaker 4: just hit the tape about a company type in the 39 00:02:08,760 --> 00:02:12,800 Speaker 4: ticker goog L for Google. Hit equity, then hit BECO 40 00:02:13,040 --> 00:02:16,440 Speaker 4: BICO for Bloomberg Intelligence company Research, and you'll get what's 41 00:02:16,480 --> 00:02:18,919 Speaker 4: called a recent event reaction. So I want to know 42 00:02:19,000 --> 00:02:23,600 Speaker 4: immediately what Mandeep Singh thinks about this stuff and what 43 00:02:23,680 --> 00:02:26,040 Speaker 4: I read. I didn't expect to read we see a 44 00:02:26,080 --> 00:02:28,440 Speaker 4: breakup of Google's add tech business as the most likely 45 00:02:28,520 --> 00:02:30,919 Speaker 4: outcome for remedy in the company's monopoly case with the 46 00:02:31,000 --> 00:02:33,560 Speaker 4: US Justice Department. I thought what I would have read is, 47 00:02:33,639 --> 00:02:36,160 Speaker 4: I don't worry about it, but this has some teeth here. 48 00:02:36,520 --> 00:02:38,400 Speaker 3: This is what you're kind of well, because the loss 49 00:02:38,639 --> 00:02:41,840 Speaker 3: that first lawsuit at the dog and the second one 50 00:02:41,880 --> 00:02:45,400 Speaker 3: the ad tech as well, it's very likely that the 51 00:02:45,720 --> 00:02:49,480 Speaker 3: judge will rule against Google. So when you lose the cases, 52 00:02:49,600 --> 00:02:53,320 Speaker 3: there has to be both behavior and structural remedy. And 53 00:02:53,440 --> 00:02:56,040 Speaker 3: in the case of behavior remedy, yeah, they can't make 54 00:02:56,160 --> 00:02:59,840 Speaker 3: those payments to Apple anymore. To be the default sir, 55 00:03:00,400 --> 00:03:02,839 Speaker 3: or any other hardware maker, they will have to open 56 00:03:02,960 --> 00:03:06,040 Speaker 3: up Android to offer search screens so that you just 57 00:03:06,160 --> 00:03:09,760 Speaker 3: don't have to use Chrome or Google Search. You can 58 00:03:09,840 --> 00:03:12,640 Speaker 3: use bing search for example. So choice screens is another 59 00:03:12,720 --> 00:03:16,440 Speaker 3: behavior elder. But the structured remedy in terms of a 60 00:03:16,560 --> 00:03:20,000 Speaker 3: forced sale, I find it hard to believe that the 61 00:03:20,120 --> 00:03:22,920 Speaker 3: dot will ask them to sell a product. It has 62 00:03:22,960 --> 00:03:25,080 Speaker 3: to be more at the technology stack level. 63 00:03:25,240 --> 00:03:27,720 Speaker 2: So when we go to the ad tech stack, maybe 64 00:03:27,760 --> 00:03:30,320 Speaker 2: that just demptail with what you were saying, so what 65 00:03:30,440 --> 00:03:33,600 Speaker 2: does control the ad tech stack mean when you're talking 66 00:03:33,639 --> 00:03:34,239 Speaker 2: about Google? 67 00:03:34,440 --> 00:03:38,720 Speaker 3: So think of how an ad exchange works. You have 68 00:03:38,960 --> 00:03:42,560 Speaker 3: the supply side, you know in terms of the publisher 69 00:03:42,720 --> 00:03:45,200 Speaker 3: ad inventory, and then you have the demand side, the 70 00:03:45,320 --> 00:03:49,440 Speaker 3: advertisers who are buying those ads, and then you have 71 00:03:49,520 --> 00:03:52,480 Speaker 3: the exchange in the middle, who is matching the supply 72 00:03:52,640 --> 00:03:56,800 Speaker 3: and the demand side for ads. Google has a products 73 00:03:57,000 --> 00:04:01,000 Speaker 3: across the stack where they have a man side platform, 74 00:04:01,320 --> 00:04:04,200 Speaker 3: They have a supply side AD platform. They are an 75 00:04:04,240 --> 00:04:07,640 Speaker 3: online exchange and they've built it over the years because 76 00:04:08,640 --> 00:04:11,640 Speaker 3: they made a few acquisitions. Double Click was the most 77 00:04:11,760 --> 00:04:16,760 Speaker 3: notable one where they acquired all the capabilities to really 78 00:04:16,920 --> 00:04:20,480 Speaker 3: operate as an entity that knows everything when it comes 79 00:04:20,640 --> 00:04:24,200 Speaker 3: to digital ads being sold in the marketplace. So they 80 00:04:24,320 --> 00:04:27,080 Speaker 3: control that stack end to end. That's why when you 81 00:04:27,200 --> 00:04:30,800 Speaker 3: compare Google's ad pricing to everyone else out there, they 82 00:04:30,839 --> 00:04:34,360 Speaker 3: are far superior. One they have the best targeting. The 83 00:04:34,520 --> 00:04:37,440 Speaker 3: other is when you're operating a stack where you have 84 00:04:38,120 --> 00:04:41,360 Speaker 3: the dominant product across the different pieces, you have a 85 00:04:41,440 --> 00:04:45,760 Speaker 3: pricing advantage. And that's what you know. The regulators are 86 00:04:45,920 --> 00:04:49,160 Speaker 3: saying that this company controls pretty much everything in the 87 00:04:49,279 --> 00:04:49,839 Speaker 3: ad stack. 88 00:04:51,040 --> 00:04:56,040 Speaker 4: But the advertisers themselves they're not complaining, of course not. 89 00:04:56,279 --> 00:04:59,640 Speaker 5: I mean they're getting like, who are they protecting? 90 00:04:59,760 --> 00:05:02,640 Speaker 4: This a solution in search of a problem here in 91 00:05:02,720 --> 00:05:04,920 Speaker 4: my opinion, because I have a competition in this market, 92 00:05:05,240 --> 00:05:09,680 Speaker 4: I think I have competition. I mean Google's huge, so Facebook, 93 00:05:09,880 --> 00:05:11,480 Speaker 4: and now I've got this little company in a Seattle 94 00:05:11,520 --> 00:05:16,360 Speaker 4: called Amazon. They're monster's advertising player. So where's the problem here? 95 00:05:16,480 --> 00:05:18,920 Speaker 3: So it all comes down to how you look at 96 00:05:18,960 --> 00:05:21,200 Speaker 3: the market. If you look at the market the way 97 00:05:21,240 --> 00:05:24,640 Speaker 3: you just described, where Meta is as formidable as Google 98 00:05:24,720 --> 00:05:28,160 Speaker 3: and Amazon is a big third player, then yes there 99 00:05:28,279 --> 00:05:31,599 Speaker 3: is competition. But when you look at certain type of ads, 100 00:05:31,680 --> 00:05:34,920 Speaker 3: whether it's on the desktop or you know the third 101 00:05:35,000 --> 00:05:38,440 Speaker 3: party ads that are going through Google Ad Exchange, these 102 00:05:38,520 --> 00:05:41,440 Speaker 3: companies don't overlap. Like remember, Meta is a walled garden, 103 00:05:41,960 --> 00:05:45,279 Speaker 3: even though it's big in terms of the digital ad advertising, 104 00:05:45,600 --> 00:05:49,039 Speaker 3: it's its own world garden. Amazon is its own walled 105 00:05:49,080 --> 00:05:52,880 Speaker 3: garden Google. So these companies have their own swim lanes. 106 00:05:53,360 --> 00:05:56,280 Speaker 3: They are big in terms of the digital ad dollars, 107 00:05:56,560 --> 00:05:59,240 Speaker 3: but they have their own swim lanes. They don't overlap. 108 00:05:59,360 --> 00:06:02,400 Speaker 3: And that's the objection that I think regulators have. 109 00:06:02,640 --> 00:06:06,440 Speaker 2: Okay, so if they wound up, you know, moving around 110 00:06:06,480 --> 00:06:08,640 Speaker 2: that ad tech stack and changing stuff up, what does 111 00:06:08,680 --> 00:06:10,960 Speaker 2: that change look like and how much money could then 112 00:06:11,120 --> 00:06:11,719 Speaker 2: Google lose? 113 00:06:12,240 --> 00:06:15,240 Speaker 3: Well, so Google Search obviously is a two hundred billion 114 00:06:15,320 --> 00:06:18,159 Speaker 3: dollar rund raiate business, still the cash cow for Google. 115 00:06:18,640 --> 00:06:21,880 Speaker 3: So that's where you know the Google network piece, which 116 00:06:22,000 --> 00:06:25,760 Speaker 3: is the ads that Google shows on third party platforms. 117 00:06:25,800 --> 00:06:29,320 Speaker 3: So one is Google showing ads on YouTube and their 118 00:06:29,360 --> 00:06:32,600 Speaker 3: own search page. The other is Google showing ad on 119 00:06:32,800 --> 00:06:36,120 Speaker 3: let's say New York Times or some other publisher. Because 120 00:06:36,160 --> 00:06:39,640 Speaker 3: it's going through the Google Ad Exchange. That's the part 121 00:06:39,760 --> 00:06:42,480 Speaker 3: that can be divested where and it's a thirty two 122 00:06:42,560 --> 00:06:45,320 Speaker 3: billion dollar rund rate business within that two hundred billion, 123 00:06:45,839 --> 00:06:48,920 Speaker 3: that's the part that's not growing. But you could argue 124 00:06:49,040 --> 00:06:51,560 Speaker 3: could be split up in a way where I think 125 00:06:51,600 --> 00:06:54,840 Speaker 3: Google maybe a smaller search ad business, But at the 126 00:06:54,880 --> 00:06:57,240 Speaker 3: same time that will appease the regulators because they're not 127 00:06:57,440 --> 00:06:59,400 Speaker 3: controlling different parts of the ads stack. 128 00:07:00,000 --> 00:07:03,440 Speaker 4: We talk to institutional investors out there these days, how 129 00:07:03,520 --> 00:07:06,560 Speaker 4: do they think about the regulatory risk over big tech 130 00:07:06,680 --> 00:07:08,720 Speaker 4: these days? And how's that change over the last three. 131 00:07:08,640 --> 00:07:09,120 Speaker 6: Or four years? 132 00:07:09,840 --> 00:07:12,840 Speaker 3: I mean right now, everyone wants to know who will 133 00:07:12,880 --> 00:07:15,680 Speaker 3: be the dominant player when it comes to LLMS and 134 00:07:15,800 --> 00:07:19,440 Speaker 3: you know, generative AI, whether Google will end up losing 135 00:07:19,560 --> 00:07:23,240 Speaker 3: its dominance in search because of these LLM players. And 136 00:07:23,360 --> 00:07:26,760 Speaker 3: that's where I think again, the products that Google has, 137 00:07:26,880 --> 00:07:31,920 Speaker 3: whether it's Android or YouTube or cloud, they're critical to 138 00:07:32,080 --> 00:07:36,760 Speaker 3: maintaining Google's lead in that LLLM and generative AI space 139 00:07:36,800 --> 00:07:40,400 Speaker 3: where they do have competition from Open AI, Microsoft, And 140 00:07:40,520 --> 00:07:43,200 Speaker 3: that's what investors are most focused on. It's always about 141 00:07:43,240 --> 00:07:46,320 Speaker 3: the future five ten years down the line, and that's 142 00:07:46,360 --> 00:07:48,960 Speaker 3: where the growth is. And the companies with the best 143 00:07:49,040 --> 00:07:52,880 Speaker 3: large languid models have an advantage. And Google, because of 144 00:07:53,000 --> 00:07:55,920 Speaker 3: the fact that they own these family of apps, they 145 00:07:56,000 --> 00:07:58,840 Speaker 3: have a data advantage. For the large anguid models, it's 146 00:07:58,920 --> 00:08:01,760 Speaker 3: their proprietary day, so they don't want to give away 147 00:08:01,840 --> 00:08:05,800 Speaker 3: YouTube or you know, just have that separate in terms 148 00:08:05,840 --> 00:08:07,320 Speaker 3: of all, Yeah. 149 00:08:07,240 --> 00:08:09,520 Speaker 2: It needs the beast in essence, for lack of a 150 00:08:09,560 --> 00:08:12,240 Speaker 2: better word, they don't have to buy to feed the beast. Okay, 151 00:08:12,360 --> 00:08:16,600 Speaker 2: So when we wind up hearing numbers and earnings, what 152 00:08:16,760 --> 00:08:19,440 Speaker 2: kind of growth are we going to see for these 153 00:08:19,520 --> 00:08:22,200 Speaker 2: big tech companies and what's going to be considered good, 154 00:08:22,480 --> 00:08:24,400 Speaker 2: like eighteen percent growth. Is that going to be good 155 00:08:24,640 --> 00:08:25,920 Speaker 2: enough for what I mean? 156 00:08:26,200 --> 00:08:29,520 Speaker 3: Right now? We look at Microsoft growing mid teens. Obviously 157 00:08:29,720 --> 00:08:32,679 Speaker 3: the growth part of the business is Azure Cloud. In 158 00:08:32,760 --> 00:08:36,760 Speaker 3: the case of Google, Look search business may probably grow 159 00:08:36,880 --> 00:08:40,600 Speaker 3: you know, low teens, it's still is growing double digit, 160 00:08:40,679 --> 00:08:43,079 Speaker 3: which is remarkable for you know, a business of two 161 00:08:43,120 --> 00:08:45,800 Speaker 3: hundred billion dollars round rate. That just goes to show 162 00:08:45,880 --> 00:08:49,760 Speaker 3: that Google Search still dominates and that's why they get 163 00:08:49,800 --> 00:08:53,760 Speaker 3: so much regulatory scrutiny. But the growth part of the 164 00:08:53,800 --> 00:08:56,640 Speaker 3: business is the Google cloud business. I think that's where 165 00:08:56,720 --> 00:08:59,320 Speaker 3: you will see the growth thirty percent growth, and it's 166 00:08:59,440 --> 00:09:03,960 Speaker 3: driven by companies deploying their you know, large angrid model, 167 00:09:04,080 --> 00:09:06,679 Speaker 3: deploying generative AI. Where do you do that? You do 168 00:09:06,800 --> 00:09:09,679 Speaker 3: that on the cloud. And the cloud side is big 169 00:09:09,840 --> 00:09:12,680 Speaker 3: enough for you know, all three players, whether it's Microsoft, 170 00:09:12,760 --> 00:09:15,360 Speaker 3: Amazon and Google, to do well. So I think we'll 171 00:09:15,440 --> 00:09:18,120 Speaker 3: see a lot of cloud business. And YouTube I think 172 00:09:18,320 --> 00:09:21,640 Speaker 3: is a great standalone business, but there is a cyclical 173 00:09:21,760 --> 00:09:24,400 Speaker 3: element to it, and that's why YouTube business growing as 174 00:09:24,520 --> 00:09:25,800 Speaker 3: fast as their cloud business. 175 00:09:25,880 --> 00:09:29,079 Speaker 4: The reason we have like twenty seven techannels of Bloomberg Intelligence, 176 00:09:29,080 --> 00:09:31,240 Speaker 4: I mean, they're all over the place is because I 177 00:09:31,280 --> 00:09:34,480 Speaker 4: think the US just said fifty years ago, just light 178 00:09:34,600 --> 00:09:36,800 Speaker 4: touch on regulatory let these guys in Silicon Valley do 179 00:09:36,840 --> 00:09:40,000 Speaker 4: their thing, and that's what created the great technology boom 180 00:09:40,040 --> 00:09:43,439 Speaker 4: in my opinion, as opposed to Europe, which you got 181 00:09:43,480 --> 00:09:46,200 Speaker 4: nothing right. So now I'm not sure if the cat's 182 00:09:46,240 --> 00:09:47,559 Speaker 4: out of the bag for a lot of these things. 183 00:09:47,800 --> 00:09:50,240 Speaker 2: Yeah, I don't know. I don't know. It makes life 184 00:09:50,320 --> 00:09:53,200 Speaker 2: more interesting though, for our intertrust to people and Mandy 185 00:09:53,800 --> 00:09:55,520 Speaker 2: a job, all right, many things a lot man you've 186 00:09:55,520 --> 00:09:57,720 Speaker 2: seeing joining us from Bloomberg Intelligence. 187 00:09:59,280 --> 00:10:03,760 Speaker 1: You're listening the Bloomberg Intelligence Podcast. Catch us live weekdays 188 00:10:03,800 --> 00:10:07,040 Speaker 1: at ten am Eastern on applecar Play and Android Auto 189 00:10:07,200 --> 00:10:09,920 Speaker 1: with the Bloomberg Business Act. You can also listen live 190 00:10:10,080 --> 00:10:13,199 Speaker 1: on Amazon Alexa from our flagship New York station, Just 191 00:10:13,280 --> 00:10:15,840 Speaker 1: Say Alexa, playing Bloomberg eleven. 192 00:10:15,640 --> 00:10:19,640 Speaker 2: Thirty from Alex Steel alongside Paul Sweeney. This is Bloomberg 193 00:10:19,679 --> 00:10:22,840 Speaker 2: Intelligence Radio. We are broadcasting to live from Interactive Broker 194 00:10:22,880 --> 00:10:25,520 Speaker 2: Studio right here in Midtown Manhattan. For the last few days, 195 00:10:25,559 --> 00:10:28,040 Speaker 2: though Paul and I were in Orlando at a Commonwealth 196 00:10:28,080 --> 00:10:31,640 Speaker 2: Advisor's conference, and Orlando was getting a little bit dicey 197 00:10:31,760 --> 00:10:33,480 Speaker 2: the winds are picking up. You had rain, and it 198 00:10:33,559 --> 00:10:36,040 Speaker 2: looks like that Hurricane Milton is just barreling towards that 199 00:10:36,120 --> 00:10:40,720 Speaker 2: west coast and it's very, very dangerous, particularly for those 200 00:10:40,840 --> 00:10:42,760 Speaker 2: on that west coast. So you want to take a 201 00:10:42,800 --> 00:10:44,640 Speaker 2: little bit of a deep dive to kind of understand 202 00:10:44,679 --> 00:10:47,559 Speaker 2: what it means, say for power and utilities and the grid, 203 00:10:47,600 --> 00:10:49,160 Speaker 2: because no doubt power is going to go out, but 204 00:10:49,240 --> 00:10:51,480 Speaker 2: how long it stays et cetera is going to be 205 00:10:51,600 --> 00:10:54,679 Speaker 2: very pivotal. Mike Sullivan is Energy and Utilities consultant at 206 00:10:54,720 --> 00:10:58,120 Speaker 2: PA Consulting joining us. Now, Mike, this is a very 207 00:10:58,240 --> 00:11:01,640 Speaker 2: silly question, but how do's a hurricane like this impact 208 00:11:01,720 --> 00:11:04,280 Speaker 2: the grid and utilities? Like, what's the sequence of events 209 00:11:04,360 --> 00:11:05,280 Speaker 2: of how this plays out? 210 00:11:07,520 --> 00:11:10,960 Speaker 6: Okay, oh, good morning, and thanks for having me. At first, 211 00:11:11,040 --> 00:11:14,559 Speaker 6: it goes without saying that Milton is on track. This 212 00:11:14,880 --> 00:11:17,520 Speaker 6: will probably be one of the most destructive hurricanes in 213 00:11:17,600 --> 00:11:21,960 Speaker 6: Florida history, and there will be extended power outages, both 214 00:11:22,000 --> 00:11:26,640 Speaker 6: from wins and the wave surge, so both of those 215 00:11:26,679 --> 00:11:30,720 Speaker 6: things will be in play. I think the most important 216 00:11:30,800 --> 00:11:37,880 Speaker 6: thing is for the public to remember that the local 217 00:11:37,960 --> 00:11:42,080 Speaker 6: officials are first and foremost their choice for information there 218 00:11:42,480 --> 00:11:47,400 Speaker 6: These emergency management organizations, they are the glue that provide 219 00:11:47,480 --> 00:11:53,600 Speaker 6: coordination between the state organizations, federal organizations, and first responders 220 00:11:53,760 --> 00:11:58,680 Speaker 6: like utility workers. And right now there are some estimates 221 00:11:58,720 --> 00:12:00,800 Speaker 6: that's saying there were over thirty five thousand out of 222 00:12:00,880 --> 00:12:04,760 Speaker 6: state utility workers who have converged on Florida to help 223 00:12:04,840 --> 00:12:10,319 Speaker 6: in restoration. So it's it's going to be a huge effort. 224 00:12:10,480 --> 00:12:16,199 Speaker 6: It's going to take days to restore power, and it's 225 00:12:16,280 --> 00:12:17,760 Speaker 6: quite a job the utilities are up against. 226 00:12:18,640 --> 00:12:21,480 Speaker 4: So, Mike, give us a sense here of kind of 227 00:12:21,520 --> 00:12:23,839 Speaker 4: the risk to Florida here. I mean, they've been through 228 00:12:23,880 --> 00:12:27,840 Speaker 4: this so many times. Unfortunately, what can what have they done? 229 00:12:27,920 --> 00:12:29,920 Speaker 4: What can they do? What should they do to maybe 230 00:12:29,960 --> 00:12:33,320 Speaker 4: try to I don't know, safe proof their grid perhaps 231 00:12:33,440 --> 00:12:35,079 Speaker 4: a little bit more. Is there anything that can be done? 232 00:12:36,960 --> 00:12:43,000 Speaker 6: Sure, there's actually a state law in Florida that requires 233 00:12:43,040 --> 00:12:48,920 Speaker 6: that utilities file storm protection plans every three years. You know, 234 00:12:49,000 --> 00:12:52,800 Speaker 6: the basic construct or compact that utilities have is to 235 00:12:52,880 --> 00:12:59,280 Speaker 6: provide safe, reliable, and affordable power to all customers. Over 236 00:12:59,320 --> 00:13:02,480 Speaker 6: the last decade, so that has layered on top of 237 00:13:02,600 --> 00:13:06,679 Speaker 6: that has become that has come into play two other 238 00:13:06,760 --> 00:13:13,880 Speaker 6: objectives the clean energy transition and hardened and more resilient grids. 239 00:13:14,520 --> 00:13:19,600 Speaker 6: So all the utilities have filed these plans to make 240 00:13:19,679 --> 00:13:24,679 Speaker 6: their grid stronger to withstand events like this, to be 241 00:13:24,760 --> 00:13:27,240 Speaker 6: able to restore power faster, and then you know, to 242 00:13:27,320 --> 00:13:31,320 Speaker 6: think about the overall survivability of the communities that they serve. 243 00:13:32,880 --> 00:13:38,120 Speaker 6: I think goes without saying that the number and the 244 00:13:38,760 --> 00:13:41,599 Speaker 6: impact of the kinds of events we've been seeing in 245 00:13:41,760 --> 00:13:46,840 Speaker 6: recent years requires the greater investments be made. Those protection 246 00:13:47,000 --> 00:13:52,440 Speaker 6: plans are good starts, but these grids are expansive. They've 247 00:13:52,559 --> 00:13:55,560 Speaker 6: been built over one hundred plus years, and they need 248 00:13:55,640 --> 00:14:01,599 Speaker 6: to be hardened and also expanded to to support the 249 00:14:01,679 --> 00:14:06,080 Speaker 6: Queen Energy transition and greater electrification due to data centers 250 00:14:06,160 --> 00:14:08,520 Speaker 6: and a lot of other increasing electrical load. 251 00:14:09,160 --> 00:14:10,360 Speaker 5: Who pays for that? 252 00:14:11,120 --> 00:14:13,559 Speaker 2: Is it going to be utilities and the rate payers 253 00:14:13,720 --> 00:14:15,880 Speaker 2: or is it more of a grid operator? Is it 254 00:14:15,920 --> 00:14:17,439 Speaker 2: the government? Where does that come from? 255 00:14:19,440 --> 00:14:25,160 Speaker 6: So mostly, you know, I said part of utilities compact 256 00:14:25,240 --> 00:14:29,520 Speaker 6: is to keep rates affordable. All of these the investments 257 00:14:29,560 --> 00:14:34,680 Speaker 6: cost money. I mean, you're rebuilding major parts of the grid, 258 00:14:35,400 --> 00:14:40,240 Speaker 6: and yes, ultimately it does come down to raising rates 259 00:14:40,560 --> 00:14:43,720 Speaker 6: or rate payers, all right, So. 260 00:14:44,520 --> 00:14:47,880 Speaker 4: Mike, you think about our grid and you just look 261 00:14:47,920 --> 00:14:53,120 Speaker 4: at the wires strung on these poles, It just it 262 00:14:53,280 --> 00:14:55,640 Speaker 4: just seems like so technologically out of step with where 263 00:14:56,200 --> 00:15:01,200 Speaker 4: our economy is. Underground wires, isn't that the future? I mean, 264 00:15:01,480 --> 00:15:03,480 Speaker 4: as long stuff's above ground, it's going to be at 265 00:15:03,560 --> 00:15:06,680 Speaker 4: risk to hurricanes and it all kinds of weather. 266 00:15:06,560 --> 00:15:08,600 Speaker 2: Talk about being expensive and rapairers pan or. 267 00:15:10,200 --> 00:15:14,360 Speaker 6: Sure, sure, absolutely, And for the last thirty years or so, 268 00:15:15,360 --> 00:15:21,000 Speaker 6: all new communities are supplied with underground service, So that's 269 00:15:21,000 --> 00:15:23,920 Speaker 6: been going on for some time. It's the older infrastructure. 270 00:15:24,600 --> 00:15:28,080 Speaker 6: Oftentimes communities are served they were built in the thirties 271 00:15:28,120 --> 00:15:31,760 Speaker 6: and forties with what we call real lot construction. That's 272 00:15:32,400 --> 00:15:36,960 Speaker 6: the lines that run behind people's backyards and butt up 273 00:15:36,960 --> 00:15:42,560 Speaker 6: against other backyards. And those overhead lines are the ones 274 00:15:43,600 --> 00:15:48,000 Speaker 6: that are particularly susceptible to coming down and taking an 275 00:15:48,080 --> 00:15:51,640 Speaker 6: awfully long time to put back up because they serve 276 00:15:51,760 --> 00:15:52,680 Speaker 6: only a few customers. 277 00:15:53,680 --> 00:15:56,640 Speaker 2: So when you say that, okay, so a lot of 278 00:15:56,720 --> 00:15:58,600 Speaker 2: investment needs to go in to help all of these things, 279 00:15:58,600 --> 00:16:01,320 Speaker 2: whether it's the energy transition or it's weather proofing, etc. 280 00:16:01,560 --> 00:16:03,360 Speaker 2: And you mentioned that rate payers eventually are going to 281 00:16:03,400 --> 00:16:05,600 Speaker 2: have to pay. I mean, there's only so much tolerance 282 00:16:05,680 --> 00:16:09,440 Speaker 2: for that. Do we know an estimate of what weather 283 00:16:09,560 --> 00:16:13,560 Speaker 2: proofing this industry as well as energy transitioning this industry 284 00:16:13,640 --> 00:16:14,400 Speaker 2: is going to cost. 285 00:16:16,360 --> 00:16:22,000 Speaker 6: So part of the problem is that oftentimes regulators, state 286 00:16:22,080 --> 00:16:28,800 Speaker 6: regulators who approve these plans don't adequately consider what I 287 00:16:28,880 --> 00:16:33,200 Speaker 6: call stack value. Is you are trying to build and 288 00:16:33,360 --> 00:16:39,880 Speaker 6: upgrade your grid for more renewable resources, greater electrification. That is, 289 00:16:39,880 --> 00:16:42,160 Speaker 6: they have to have more capacity and at the same 290 00:16:42,240 --> 00:16:48,840 Speaker 6: time to build build them back more resiliently. Those two things, 291 00:16:48,880 --> 00:16:51,360 Speaker 6: when you think about them as a stacked value, it 292 00:16:51,440 --> 00:16:58,320 Speaker 6: becomes more understandable, more digestible. Estimates for undergrounding, it's very expensive, 293 00:17:00,120 --> 00:17:03,840 Speaker 6: and power White has a particularly extensive undergrounding program underway 294 00:17:03,920 --> 00:17:07,960 Speaker 6: right now, but you know, it's a million dollars to 295 00:17:08,119 --> 00:17:10,200 Speaker 6: two million dollars depending on which part of the country 296 00:17:10,200 --> 00:17:14,480 Speaker 6: you're talking about to underground lines. And most of the 297 00:17:14,560 --> 00:17:17,200 Speaker 6: lines that are are overhead and cause most of the 298 00:17:17,240 --> 00:17:19,360 Speaker 6: problems are ones that run up and down city streets, 299 00:17:21,200 --> 00:17:24,600 Speaker 6: commercial areas, that kind of thing. And even in the 300 00:17:24,680 --> 00:17:28,840 Speaker 6: best case, whether they're hardened or not. You know, oftentimes 301 00:17:29,320 --> 00:17:32,800 Speaker 6: in major hurricanes like this, it's not just trees toppling 302 00:17:32,880 --> 00:17:36,080 Speaker 6: on wines, but it's flying debris hitting poles and lines 303 00:17:36,119 --> 00:17:40,240 Speaker 6: and things like that. So an event like Milton is 304 00:17:41,840 --> 00:17:46,280 Speaker 6: particularly problematic, but increased investment can certainly help. 305 00:17:46,880 --> 00:17:48,760 Speaker 4: Hey, Mike, thanks so much for joining us. Really appreciate 306 00:17:48,760 --> 00:17:52,119 Speaker 4: getting your insights here. Michael Salvin, he's the energy and 307 00:17:52,200 --> 00:17:56,879 Speaker 4: you Tooty's consultant for PA consultant. They're based down in Annapolis, Maryland. 308 00:17:56,920 --> 00:18:01,600 Speaker 4: There so again the hurricane barreling towards the west coast 309 00:18:01,680 --> 00:18:04,760 Speaker 4: of Florida. John Sucker and I read the book The Grid, 310 00:18:04,960 --> 00:18:06,000 Speaker 4: so we consider our Oh you. 311 00:18:06,040 --> 00:18:10,200 Speaker 2: Did, wait, we're now already all right, all right, fine, 312 00:18:10,200 --> 00:18:10,840 Speaker 2: I'm under list. 313 00:18:11,320 --> 00:18:14,520 Speaker 4: The technology looks like nineteen twenty oh oh yeah, and 314 00:18:14,560 --> 00:18:16,960 Speaker 4: you know, like really, I mean, can't we do anything? 315 00:18:17,000 --> 00:18:19,359 Speaker 4: But as Mike Sulin was saying, the new stuff gets built, 316 00:18:19,359 --> 00:18:22,080 Speaker 4: it's getting built on the underground. So first, after our 317 00:18:22,119 --> 00:18:24,120 Speaker 4: good friends in Florida, this is Bloomberg. 318 00:18:25,840 --> 00:18:29,680 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 319 00:18:29,800 --> 00:18:32,520 Speaker 1: weekdays at ten am Eastern on Apple car Playing and 320 00:18:32,640 --> 00:18:35,480 Speaker 1: Broid Auto with the Bloomberg Business app. Listen on demand 321 00:18:35,560 --> 00:18:39,200 Speaker 1: wherever you get your podcasts or watch us live on YouTube. 322 00:18:40,760 --> 00:18:43,480 Speaker 2: All right, in the markets, what do you do if 323 00:18:43,520 --> 00:18:45,440 Speaker 2: it's still going to be higher for longer? In that 324 00:18:45,760 --> 00:18:48,520 Speaker 2: maybe we're pricing out some cuts by the Fed in 325 00:18:48,600 --> 00:18:50,960 Speaker 2: twenty twenty five this year, maybe a done deal next 326 00:18:51,040 --> 00:18:53,320 Speaker 2: year though the market has repriced a bit. So let's 327 00:18:53,320 --> 00:18:56,000 Speaker 2: get some details with Shelby McFadden investment analyst and Motley 328 00:18:56,040 --> 00:18:59,920 Speaker 2: Fool asset Management. Shelby, it's always so wonderful to speak 329 00:19:00,080 --> 00:19:02,520 Speaker 2: with you. One of my big questions is if we 330 00:19:02,640 --> 00:19:05,119 Speaker 2: do get a longer economic cycle and the idea is 331 00:19:05,240 --> 00:19:07,439 Speaker 2: higher rates for a little bit longer, lower than they 332 00:19:07,440 --> 00:19:11,560 Speaker 2: are today, but still relatively higher, can stocks continue to 333 00:19:11,680 --> 00:19:14,240 Speaker 2: beat bonds? And if so, wear in stocks? 334 00:19:16,160 --> 00:19:18,480 Speaker 7: Yeah, I do think that the battle starts to get 335 00:19:18,480 --> 00:19:21,240 Speaker 7: a little bit closer, because really the question is when 336 00:19:22,480 --> 00:19:27,000 Speaker 7: will consumers or investors rather make that switch from bonds 337 00:19:27,080 --> 00:19:29,760 Speaker 7: to risky assets. Right, So, the fact that stocks have 338 00:19:29,880 --> 00:19:33,280 Speaker 7: continued to beat bonds thus far has already been something 339 00:19:33,359 --> 00:19:35,200 Speaker 7: that's a bit more of a phenomenon, and we know 340 00:19:35,320 --> 00:19:37,840 Speaker 7: the main leaders that are driving that. So it would 341 00:19:37,880 --> 00:19:39,960 Speaker 7: really have to be a matter of in my view, 342 00:19:40,640 --> 00:19:42,520 Speaker 7: you know, yields coming down to such a level that 343 00:19:42,600 --> 00:19:44,399 Speaker 7: they are higher than we've been used to over the 344 00:19:44,520 --> 00:19:47,400 Speaker 7: last four years or so, but not quite high enough 345 00:19:47,480 --> 00:19:50,760 Speaker 7: to justify completely coming out of risk assets. So I 346 00:19:50,800 --> 00:19:53,000 Speaker 7: think that's the sort of fundamental part of it. I 347 00:19:53,080 --> 00:19:56,639 Speaker 7: think the second part really comes from the narrative, Right, 348 00:19:56,760 --> 00:19:59,520 Speaker 7: what is it that these growth companies claim to be offering. 349 00:19:59,640 --> 00:20:03,440 Speaker 7: What is the secular shift that's going to propel so 350 00:20:03,600 --> 00:20:05,280 Speaker 7: much of this growth? If the growth is not going 351 00:20:05,359 --> 00:20:07,680 Speaker 7: to be broad, if it's going to continue to be concentrated, 352 00:20:08,040 --> 00:20:09,479 Speaker 7: then I think it might be a little bit more 353 00:20:09,520 --> 00:20:11,400 Speaker 7: of a tussle between the two for stocks to keep 354 00:20:11,440 --> 00:20:11,800 Speaker 7: on winning. 355 00:20:13,080 --> 00:20:15,880 Speaker 4: Shelby, I'm just a little uncertain about the consumer. Yes, 356 00:20:15,960 --> 00:20:17,880 Speaker 4: I like rates coming down, and I think that's good 357 00:20:17,920 --> 00:20:20,400 Speaker 4: for the consumer, But how do you guys think about 358 00:20:20,400 --> 00:20:23,520 Speaker 4: the consumer and owning stocks that are dependent upon the 359 00:20:23,560 --> 00:20:25,159 Speaker 4: consumer and retail spending? 360 00:20:26,480 --> 00:20:26,680 Speaker 6: Yeah? 361 00:20:26,680 --> 00:20:27,160 Speaker 5: Absolutely. 362 00:20:27,320 --> 00:20:29,520 Speaker 7: I mean from what we've seen from a lot of 363 00:20:29,560 --> 00:20:32,640 Speaker 7: the banks, the payment processors thus far, and of course 364 00:20:32,720 --> 00:20:35,200 Speaker 7: knowing that we've got banks coming up soon, has been 365 00:20:35,280 --> 00:20:38,840 Speaker 7: that consumers for the most part are doing okay. That's 366 00:20:38,880 --> 00:20:40,960 Speaker 7: not to say that inflation is completely over. That's not 367 00:20:41,080 --> 00:20:43,119 Speaker 7: to diminish the fact that in some locales it's a 368 00:20:43,160 --> 00:20:45,760 Speaker 7: bit more significant and over certain goods and surfaces, but 369 00:20:45,880 --> 00:20:48,000 Speaker 7: for the most part, people seem to have adjusted. They 370 00:20:48,119 --> 00:20:51,320 Speaker 7: have definitely spent downsaving, so discretionary is a little bit lower, 371 00:20:51,960 --> 00:20:54,800 Speaker 7: but they have figured out how to live on the 372 00:20:54,880 --> 00:20:56,960 Speaker 7: income that they have. The job switching has slowed down 373 00:20:56,960 --> 00:20:59,440 Speaker 7: a lot, so we're not as barish on the consumer 374 00:20:59,480 --> 00:21:01,840 Speaker 7: as a whole some others might be. But in terms 375 00:21:01,880 --> 00:21:04,680 Speaker 7: of playing the consumer, that's where the active management comes in. 376 00:21:05,040 --> 00:21:07,320 Speaker 7: We take the time to pick the companies that are 377 00:21:07,400 --> 00:21:10,080 Speaker 7: run well. They have great operational leverage, they can go 378 00:21:10,119 --> 00:21:12,800 Speaker 7: ahead and move with the consumer as they need to. 379 00:21:13,119 --> 00:21:15,560 Speaker 7: So that's why we've got companies like Costco in our 380 00:21:15,760 --> 00:21:19,040 Speaker 7: Malipul one hundred in our Global Opportunities Fund. Those are 381 00:21:19,160 --> 00:21:21,560 Speaker 7: names that are consumer facing, but they tend to do 382 00:21:21,680 --> 00:21:23,920 Speaker 7: the best out of their peers because of how nimble 383 00:21:23,960 --> 00:21:24,199 Speaker 7: they are. 384 00:21:24,680 --> 00:21:27,200 Speaker 2: Which also on your list is American Express, and the 385 00:21:27,280 --> 00:21:30,200 Speaker 2: idea typically is that, oh, American Express caters to higher 386 00:21:30,200 --> 00:21:32,680 Speaker 2: income earners, so if you're looking at the K shape economy, 387 00:21:33,080 --> 00:21:34,560 Speaker 2: that part of the K is actually going to do 388 00:21:34,680 --> 00:21:37,639 Speaker 2: really well. BTIG actually cut the credit card company to 389 00:21:37,720 --> 00:21:41,480 Speaker 2: sell from neutral saying that fundamentals are slowing for those 390 00:21:41,560 --> 00:21:43,119 Speaker 2: super prime customers. 391 00:21:43,160 --> 00:21:43,680 Speaker 5: What do you see? 392 00:21:45,160 --> 00:21:46,720 Speaker 7: Yeah, so, for the one thing, we do know that 393 00:21:46,760 --> 00:21:49,240 Speaker 7: they're a little bit sticky, and yes we have that 394 00:21:49,840 --> 00:21:53,880 Speaker 7: slightly longer runway for higher end consumers, but they tend 395 00:21:54,000 --> 00:21:56,679 Speaker 7: to have already made the big decisions to get rid 396 00:21:56,680 --> 00:21:59,119 Speaker 7: of large bills, right, So if they've sort of held 397 00:21:59,160 --> 00:22:02,000 Speaker 7: on to that end fee card for about two years 398 00:22:02,080 --> 00:22:04,760 Speaker 7: in this tightening cycle, they tend to be in that 399 00:22:05,440 --> 00:22:08,239 Speaker 7: part of that what is it, a less seity curve 400 00:22:08,280 --> 00:22:09,880 Speaker 7: where it's kind of like, you know what, we're good 401 00:22:09,920 --> 00:22:12,000 Speaker 7: to go here, even though we may be in a 402 00:22:12,000 --> 00:22:14,520 Speaker 7: little bit of a higher for longer situation. There has 403 00:22:14,640 --> 00:22:17,040 Speaker 7: been some relief, right, There has been some relief on 404 00:22:17,200 --> 00:22:20,600 Speaker 7: credit conditions, and if we even get another twenty five 405 00:22:20,640 --> 00:22:23,320 Speaker 7: basis point cut this year and maybe another one in 406 00:22:23,480 --> 00:22:26,320 Speaker 7: Q one, that makes even better conditions for going a 407 00:22:26,359 --> 00:22:29,160 Speaker 7: little bit down market. Now in looking at American Express, 408 00:22:29,280 --> 00:22:31,880 Speaker 7: they're not interested in going completely down the river. That's 409 00:22:31,960 --> 00:22:35,280 Speaker 7: not really their prerogative, but there is an opportunity in 410 00:22:35,359 --> 00:22:39,000 Speaker 7: the high earning categories of gen Z and young millennials 411 00:22:39,119 --> 00:22:41,200 Speaker 7: that they have an opportunity to go ahead and catch, 412 00:22:41,280 --> 00:22:43,359 Speaker 7: but also knowing that these earners have a little bit 413 00:22:43,359 --> 00:22:46,159 Speaker 7: short of a credit history, so as credit conditions soften, 414 00:22:46,240 --> 00:22:48,560 Speaker 7: there is an opportunity there to go ahead and get 415 00:22:48,600 --> 00:22:50,919 Speaker 7: a little bit more of the market, to go ahead 416 00:22:50,960 --> 00:22:54,680 Speaker 7: and sort of adhere with they're already sticky premium base. 417 00:22:55,480 --> 00:22:58,320 Speaker 4: I'm still a Green card holder. They try to sell me, 418 00:22:58,600 --> 00:23:00,520 Speaker 4: upsell me for all the other stuff, like I'm staying 419 00:23:00,560 --> 00:23:02,280 Speaker 4: with the classic green card. 420 00:23:02,359 --> 00:23:03,280 Speaker 2: Okay, here's my thing with you. 421 00:23:03,480 --> 00:23:03,920 Speaker 7: What you need. 422 00:23:04,400 --> 00:23:07,440 Speaker 2: So my husband has the purple fancy one, right, somehow 423 00:23:07,480 --> 00:23:09,119 Speaker 2: I only have the silver one. But I'm the one 424 00:23:09,160 --> 00:23:11,879 Speaker 2: that spends all the money and pays the bills, and 425 00:23:12,000 --> 00:23:13,840 Speaker 2: I don't like them. But I don't like that at all. 426 00:23:13,880 --> 00:23:15,760 Speaker 2: And somehow I'm not in charge of this. It's still 427 00:23:15,800 --> 00:23:21,480 Speaker 2: in their hist him nothing me. I think it's five 428 00:23:21,600 --> 00:23:22,280 Speaker 2: hundred dollars. 429 00:23:22,400 --> 00:23:24,480 Speaker 4: Oh that's such a company. 430 00:23:24,880 --> 00:23:27,280 Speaker 2: Please, all right, Shelby, let's get remembers. 431 00:23:27,440 --> 00:23:30,200 Speaker 4: Let's go where John and I shop Costco. It's not 432 00:23:30,359 --> 00:23:32,720 Speaker 4: just for the dollar fifty hot dog. Talk to us 433 00:23:32,720 --> 00:23:33,840 Speaker 4: about the Costco story. 434 00:23:35,320 --> 00:23:38,280 Speaker 7: Yeah, the Costco story is one of just prime operators. 435 00:23:38,320 --> 00:23:40,040 Speaker 7: I mean, I think that's the simplest way to put it, 436 00:23:40,680 --> 00:23:43,840 Speaker 7: so they were able to navigate not only supply shortages 437 00:23:44,440 --> 00:23:47,119 Speaker 7: in sort of the mid days of the pandemic recovery period, 438 00:23:47,560 --> 00:23:50,879 Speaker 7: but also navigating the depths of inflation or the heights, 439 00:23:50,920 --> 00:23:53,640 Speaker 7: if you will. They were one of the few companies 440 00:23:53,680 --> 00:23:56,440 Speaker 7: that was boasting about lowering prices. So not only do 441 00:23:56,520 --> 00:23:58,560 Speaker 7: they have this annuity model where they're going to be 442 00:23:59,040 --> 00:24:01,760 Speaker 7: making the majority of their money in terms of absolute dollars, 443 00:24:01,800 --> 00:24:06,119 Speaker 7: but in margin on the annual fee that they're charging, 444 00:24:06,680 --> 00:24:09,359 Speaker 7: but they're able to garner more consumers by saying, hey, 445 00:24:09,440 --> 00:24:11,680 Speaker 7: we're going to give you the best deal you can get. 446 00:24:12,200 --> 00:24:13,879 Speaker 7: Obviously in a large amount, so as long as you 447 00:24:13,920 --> 00:24:16,119 Speaker 7: have another room in your house. But they're able to 448 00:24:16,240 --> 00:24:18,680 Speaker 7: keep people in that regard, and because it's an annual fee, 449 00:24:18,760 --> 00:24:22,280 Speaker 7: it's something you budget for once and then it stick. Also, 450 00:24:22,440 --> 00:24:24,880 Speaker 7: knowing that they were probably going to have more in stock, 451 00:24:25,000 --> 00:24:28,680 Speaker 7: having that really robust shifting network allowed them to hold 452 00:24:28,760 --> 00:24:31,840 Speaker 7: on to people. So I think consumers knowing that Costco 453 00:24:31,920 --> 00:24:33,960 Speaker 7: is sort of on their side is a breath of 454 00:24:34,040 --> 00:24:36,800 Speaker 7: fresh air compared to some of the other retailers. So 455 00:24:36,880 --> 00:24:39,520 Speaker 7: the operators they have the succession planning went fantastic Over 456 00:24:39,560 --> 00:24:41,960 Speaker 7: the last twelve months, no one's really had any concerns, 457 00:24:42,000 --> 00:24:44,080 Speaker 7: and there's a huge opportunity. 458 00:24:43,760 --> 00:24:44,320 Speaker 8: For e comm. 459 00:24:44,640 --> 00:24:47,000 Speaker 7: A lot of folks really just kind of trudged through 460 00:24:47,080 --> 00:24:50,480 Speaker 7: it on the sort of legacy platform. There's that Instacart 461 00:24:50,600 --> 00:24:53,080 Speaker 7: partnership they have right now, but we give Costco to 462 00:24:53,119 --> 00:24:55,000 Speaker 7: the five to ten years. They may really have something 463 00:24:55,080 --> 00:24:56,600 Speaker 7: to compete with some of the peers on e comm. 464 00:24:56,840 --> 00:24:58,800 Speaker 2: All right, Shelby, we always appreciate you. You have the 465 00:24:59,000 --> 00:25:01,520 Speaker 2: best stuff, honestly, thank you so much. Shelby mcfadd investment 466 00:25:01,560 --> 00:25:05,280 Speaker 2: analyst in Motley Fool Asset Management, joining us from Alexandria, Virginia. 467 00:25:05,280 --> 00:25:06,639 Speaker 2: Wait a second, they have one hundred. They have a 468 00:25:06,800 --> 00:25:07,800 Speaker 2: dollar fifty hot dog. 469 00:25:08,080 --> 00:25:10,040 Speaker 5: Still yeah, still fifty? 470 00:25:10,080 --> 00:25:10,359 Speaker 8: What is it? 471 00:25:10,440 --> 00:25:10,640 Speaker 3: John? 472 00:25:10,920 --> 00:25:11,840 Speaker 2: I buy him at bulk? 473 00:25:12,240 --> 00:25:13,440 Speaker 4: No, it's what is the dollar fifty? 474 00:25:13,600 --> 00:25:14,680 Speaker 2: But the one where you go and you get it 475 00:25:14,760 --> 00:25:17,359 Speaker 2: like in in maybe to get it long rack of the. 476 00:25:17,640 --> 00:25:18,920 Speaker 6: Door there, it's to die for. 477 00:25:19,880 --> 00:25:21,200 Speaker 1: I still don't have a membership. 478 00:25:21,400 --> 00:25:23,880 Speaker 2: I mean, at least happened your shot there without a membership. 479 00:25:24,400 --> 00:25:24,960 Speaker 4: He doesn't show you. 480 00:25:25,040 --> 00:25:27,439 Speaker 3: You want to tell her, oh, you. 481 00:25:27,520 --> 00:25:28,600 Speaker 2: Use someone else in membership? 482 00:25:28,760 --> 00:25:29,200 Speaker 5: I got it. 483 00:25:29,320 --> 00:25:31,800 Speaker 2: I admit, I admit to not pick look at me 484 00:25:31,920 --> 00:25:32,880 Speaker 2: being all smart. 485 00:25:33,040 --> 00:25:38,440 Speaker 1: All right, you're listening to the Bloomberg Intelligence Podcast. Catch 486 00:25:38,520 --> 00:25:41,520 Speaker 1: us live weekdays at ten am Eastern on Apple, card 487 00:25:41,600 --> 00:25:44,719 Speaker 1: Play and Android Otto with the Bloomberg Business. You can 488 00:25:44,760 --> 00:25:48,000 Speaker 1: also listen live on Amazon Alexa from our flagship New 489 00:25:48,080 --> 00:25:51,720 Speaker 1: York station Just say Alexa playing Bloomberg eleven thirty. 490 00:25:53,280 --> 00:25:56,119 Speaker 2: You know, so Disney was closing, Yes, Paul got in 491 00:25:56,200 --> 00:25:56,960 Speaker 2: in the nick of time. 492 00:25:57,080 --> 00:25:59,359 Speaker 4: Yeah, so I was there. When was that there? 493 00:25:59,560 --> 00:26:01,040 Speaker 2: Sunday, Sunday, Monday. 494 00:26:00,840 --> 00:26:04,359 Speaker 4: Sunday, Monday, a little bit Monday, and even during the 495 00:26:04,440 --> 00:26:07,359 Speaker 4: rain and it was raining, it didn't stop people at all. 496 00:26:07,480 --> 00:26:11,560 Speaker 4: You buy the poncho for like fifteen bucks each, but 497 00:26:11,720 --> 00:26:14,920 Speaker 4: you buy the poncho and they're just standing there and yeah, Yeah, 498 00:26:15,240 --> 00:26:17,520 Speaker 4: Disney's a place. It's kind of like when I go skiing, 499 00:26:17,720 --> 00:26:20,040 Speaker 4: I don't even think about the money I'm spending because 500 00:26:20,040 --> 00:26:22,639 Speaker 4: that would be too upsetting and impact your enjoyment of 501 00:26:22,680 --> 00:26:24,160 Speaker 4: what you're doing. She just kind of shut your eyes 502 00:26:24,200 --> 00:26:26,159 Speaker 4: and go That's how you do it at Disney. But 503 00:26:26,200 --> 00:26:28,719 Speaker 4: apparently there's gonna be a financial impact to this whole thing. 504 00:26:28,880 --> 00:26:30,600 Speaker 2: Interesting, and wonder how long it gets depends on how 505 00:26:30,600 --> 00:26:32,760 Speaker 2: long it's gonna be closed and if there's gonna be flooding. 506 00:26:33,080 --> 00:26:33,680 Speaker 8: And all the like. 507 00:26:34,119 --> 00:26:36,840 Speaker 4: Fortunately, we pay somebody to think about this stuff, Keitha Ranganath, 508 00:26:36,880 --> 00:26:39,080 Speaker 4: and she's a media analyst for Bloomberg Intelligence. One of 509 00:26:39,119 --> 00:26:41,600 Speaker 4: the big names that she covers is the Walt Disney Company. 510 00:26:41,680 --> 00:26:44,520 Speaker 4: She knows it back, you know, inside and out. And 511 00:26:45,119 --> 00:26:46,840 Speaker 4: you know, Githa, you know, I've covered Disney for a 512 00:26:46,880 --> 00:26:49,800 Speaker 4: long time and we never really cared that much about 513 00:26:49,880 --> 00:26:52,160 Speaker 4: the theme parks. They were in nice business, they contributed 514 00:26:52,280 --> 00:26:56,160 Speaker 4: nice profits, they kind of grew every year. But now 515 00:26:56,680 --> 00:26:58,560 Speaker 4: if you think about the Walt Disney Company investing in 516 00:26:58,600 --> 00:27:01,480 Speaker 4: the Walt Disney Company, you better be really bullish on 517 00:27:01,640 --> 00:27:03,920 Speaker 4: the theme park business because that's now the major part 518 00:27:03,960 --> 00:27:06,240 Speaker 4: of the profitability. So talk to us about the theme 519 00:27:06,280 --> 00:27:08,120 Speaker 4: park business and what might be some of the risks 520 00:27:08,160 --> 00:27:09,600 Speaker 4: for shutting down Walt Disney World. 521 00:27:10,640 --> 00:27:13,240 Speaker 8: Yeah, absolutely right, Paul. So it's it's about a third 522 00:27:13,320 --> 00:27:16,680 Speaker 8: of revenue, but it's about two thirds of profits. 523 00:27:16,720 --> 00:27:16,920 Speaker 1: Wow. 524 00:27:17,440 --> 00:27:20,880 Speaker 8: So almost yeah, almost sixty to sixty five percent of profits. 525 00:27:20,920 --> 00:27:24,120 Speaker 8: And that is a complete shift, as you correctly pointed out, 526 00:27:24,119 --> 00:27:25,840 Speaker 8: from just a few years ago, maybe even just five 527 00:27:25,920 --> 00:27:28,359 Speaker 8: years ago before they kind of went into the streaming 528 00:27:28,400 --> 00:27:31,240 Speaker 8: business before the linear TV business kind of is seeing 529 00:27:31,280 --> 00:27:33,720 Speaker 8: the circular declines that it is right now. So it 530 00:27:33,880 --> 00:27:35,960 Speaker 8: really the picture has kind of completely changed, and that 531 00:27:36,160 --> 00:27:38,399 Speaker 8: means there is a lot of attention and a lot 532 00:27:38,480 --> 00:27:42,119 Speaker 8: of focus on the theme parks. We do have, you know, 533 00:27:42,280 --> 00:27:45,439 Speaker 8: some prior hurricane closures to go by, So they had 534 00:27:45,520 --> 00:27:48,920 Speaker 8: one in twenty twenty two, which was Hurricane Ian when 535 00:27:49,000 --> 00:27:51,880 Speaker 8: they closed the park for two days. With Hurricane Ian, 536 00:27:51,920 --> 00:27:55,159 Speaker 8: they lost about sixty five million dollars. That was the 537 00:27:55,240 --> 00:27:59,080 Speaker 8: operating income impact. You had Hurricane Irma in you know, 538 00:27:59,160 --> 00:28:02,000 Speaker 8: twenty seventeen it was one hundred million dollar impact. We 539 00:28:02,160 --> 00:28:05,240 Speaker 8: think though that with more and more reliance on the 540 00:28:05,320 --> 00:28:08,080 Speaker 8: theme parks, just with the fact you know that it's 541 00:28:08,119 --> 00:28:11,520 Speaker 8: become a bigger revenue contributor, a bigger profit contributor, obviously 542 00:28:11,640 --> 00:28:15,360 Speaker 8: the financial hit is also going to be larger. Remember 543 00:28:15,680 --> 00:28:18,399 Speaker 8: just the Florida parks pull in roughly one hundred and 544 00:28:18,480 --> 00:28:21,320 Speaker 8: thirty five to one hundred and forty thousand visitors every 545 00:28:21,480 --> 00:28:25,240 Speaker 8: single day. It's fifty million visitors a year, so you know, 546 00:28:25,359 --> 00:28:28,520 Speaker 8: it obviously has huge ramifications it's losing roughly, you know, 547 00:28:28,680 --> 00:28:33,080 Speaker 8: fifty million dollars per day. We think the operating income 548 00:28:33,200 --> 00:28:35,720 Speaker 8: impact will be at least at least one hundred and 549 00:28:35,720 --> 00:28:36,440 Speaker 8: twenty five million. 550 00:28:36,720 --> 00:28:37,680 Speaker 7: So this is the first time. 551 00:28:39,080 --> 00:28:40,720 Speaker 4: This is the first time I've been to a Disney 552 00:28:40,720 --> 00:28:43,360 Speaker 4: property as a civilian. The other times I've been to 553 00:28:43,480 --> 00:28:46,320 Speaker 4: a Disney property is always with Bob Iger walking next 554 00:28:46,400 --> 00:28:48,280 Speaker 4: to me, so we have that analyst and investors and 555 00:28:48,320 --> 00:28:50,800 Speaker 4: things like that. When they either close the park so 556 00:28:50,880 --> 00:28:52,440 Speaker 4: we're the only ones there, or they give us like 557 00:28:52,520 --> 00:28:55,760 Speaker 4: some super duper passes that we can zip at any line. 558 00:28:55,960 --> 00:28:57,880 Speaker 4: This is the first time I wanted, like a civilian 559 00:28:57,920 --> 00:28:59,360 Speaker 4: red to kind of wait in line and do all 560 00:28:59,400 --> 00:29:02,360 Speaker 4: that kind of stuff. But and jillions of people do 561 00:29:02,400 --> 00:29:02,760 Speaker 4: it as key. 562 00:29:03,160 --> 00:29:03,320 Speaker 9: Yeah. 563 00:29:04,000 --> 00:29:07,600 Speaker 2: At the airport, there were definitely reports of little children 564 00:29:07,720 --> 00:29:10,720 Speaker 2: being just sobbing because they had to leave Disney. So 565 00:29:11,280 --> 00:29:13,520 Speaker 2: just okay, you said they're losing fifty million dollars per 566 00:29:13,600 --> 00:29:15,800 Speaker 2: day by shutting down Disney World, Like that's that's how 567 00:29:15,920 --> 00:29:20,360 Speaker 2: big that Florida resort is for them. I heard that right, Yes, absolutely, yes, 568 00:29:20,560 --> 00:29:23,760 Speaker 2: So it go ahead. Do they wind up? Do they 569 00:29:23,840 --> 00:29:26,600 Speaker 2: make that up? Is it in the pent up demand 570 00:29:26,760 --> 00:29:27,960 Speaker 2: or is this just lost. 571 00:29:29,160 --> 00:29:31,600 Speaker 8: This will pretty much be lost, because remember it's not 572 00:29:31,880 --> 00:29:34,200 Speaker 8: just the par closure. There is obviously going to be 573 00:29:34,480 --> 00:29:38,240 Speaker 8: some you know, longer ranging repercussions for you know, all 574 00:29:38,320 --> 00:29:42,120 Speaker 8: of the theme park businesses in Florida, in the Orlando area. 575 00:29:42,800 --> 00:29:46,720 Speaker 8: So we are actually expecting attendance itself for the fiscal 576 00:29:46,760 --> 00:29:49,120 Speaker 8: first quarter, which is the current quarter, to actually beat 577 00:29:49,160 --> 00:29:53,600 Speaker 8: down maybe about mid single digits. Attendance was flatish in 578 00:29:53,720 --> 00:29:56,680 Speaker 8: the you know, in the September quarter. It is definitely 579 00:29:56,760 --> 00:29:59,959 Speaker 8: that there is definitely pressure all around and this obviously 580 00:30:00,200 --> 00:30:02,560 Speaker 8: is not going to help them at all. The other 581 00:30:02,680 --> 00:30:05,080 Speaker 8: thing that we're watching for alex as we kind of 582 00:30:05,120 --> 00:30:07,880 Speaker 8: get into twenty twenty five, and this is going to 583 00:30:07,920 --> 00:30:11,080 Speaker 8: be a special pain point for Disney, is that Universal, 584 00:30:11,360 --> 00:30:14,440 Speaker 8: its closest rival, actually has a new theme part that 585 00:30:14,480 --> 00:30:18,840 Speaker 8: they're opening in Orlando, and that basically doubles Universal's footprint. 586 00:30:19,000 --> 00:30:23,320 Speaker 8: They're adding Epic Universe sometime in March April of next year. Again, 587 00:30:23,400 --> 00:30:26,120 Speaker 8: a lot of people have been holding back on their 588 00:30:26,880 --> 00:30:29,000 Speaker 8: you know, travel to Universal because they knew, they know 589 00:30:29,120 --> 00:30:31,280 Speaker 8: this new attraction is coming, and so again we think 590 00:30:31,320 --> 00:30:32,640 Speaker 8: that's going to be a little bit of a hit 591 00:30:32,760 --> 00:30:35,160 Speaker 8: for Disney once we get into twenty twenty five. 592 00:30:35,240 --> 00:30:37,320 Speaker 4: It's funny you mentioned that gig because I wrote Home 593 00:30:37,520 --> 00:30:40,120 Speaker 4: with a Scottish family. They're on their way back to 594 00:30:40,160 --> 00:30:43,080 Speaker 4: their home in Dundee, Scotland, and my seat my new 595 00:30:43,320 --> 00:30:45,479 Speaker 4: buddy Rarely. I thought he was eighteen. He turns out 596 00:30:45,520 --> 00:30:46,080 Speaker 4: he's thirteen. 597 00:30:46,480 --> 00:30:46,720 Speaker 7: Huge. 598 00:30:46,760 --> 00:30:48,800 Speaker 4: The girl in a big over there. But they came 599 00:30:48,880 --> 00:30:51,560 Speaker 4: as a family. They came over from Scotland to Orlando 600 00:30:52,200 --> 00:30:54,360 Speaker 4: just to go to Universal. They didn't go to Disney. 601 00:30:54,400 --> 00:30:56,600 Speaker 4: They're wait a minute, So I turned on to asked 602 00:30:56,640 --> 00:30:58,640 Speaker 4: this mom, this kid's tell me you guys came all 603 00:30:58,680 --> 00:31:01,040 Speaker 4: the way here and you just went Universal, and she said, yeah, 604 00:31:01,040 --> 00:31:02,840 Speaker 4: they're big like Harry Potter fans, so they do all 605 00:31:02,840 --> 00:31:05,240 Speaker 4: that kind of yeah stuff. So that's and that's a 606 00:31:05,320 --> 00:31:07,600 Speaker 4: Comcast property, Isn't that right, Keitha. 607 00:31:08,040 --> 00:31:10,320 Speaker 8: That is a Comcast dropped And you're absolutely right. I 608 00:31:10,400 --> 00:31:12,560 Speaker 8: mean it's for the younger kids, like the two to ten. 609 00:31:13,000 --> 00:31:15,080 Speaker 8: I think Disney still continues to be the go to, 610 00:31:15,440 --> 00:31:17,120 Speaker 8: but once you get into the teenage years, Yeah, you're 611 00:31:17,120 --> 00:31:19,440 Speaker 8: absolutely right. Harry Potter seems to be like the bigger 612 00:31:19,480 --> 00:31:22,560 Speaker 8: attraction you find a lot of families going there, and 613 00:31:22,640 --> 00:31:24,200 Speaker 8: Epic Universe is going to have a lot of that 614 00:31:24,320 --> 00:31:24,640 Speaker 8: as well. 615 00:31:24,760 --> 00:31:26,520 Speaker 2: Also, to be fair, can't they just like hop over 616 00:31:26,680 --> 00:31:28,720 Speaker 2: pairs to go to Disney World there? It's not the same, 617 00:31:28,760 --> 00:31:30,560 Speaker 2: it's not the same. Okay, well, fair enough. 618 00:31:30,440 --> 00:31:32,920 Speaker 4: Been there, done that. Hey, Keith it I know Disney 619 00:31:33,800 --> 00:31:36,160 Speaker 4: is really ramping up their investment in their parks, right, 620 00:31:36,360 --> 00:31:38,920 Speaker 4: Didn't they like double their capex over the next number 621 00:31:38,920 --> 00:31:39,280 Speaker 4: of years. 622 00:31:40,240 --> 00:31:44,000 Speaker 8: Yes, sixty billion dollars in capex spending over the next 623 00:31:44,040 --> 00:31:46,680 Speaker 8: ten years. Almost twelve to fifteen billion dollars of that 624 00:31:46,800 --> 00:31:49,360 Speaker 8: will just be for new cruise ships. They're really kind 625 00:31:49,360 --> 00:31:52,120 Speaker 8: of doubling down on the cruises, so that's going to 626 00:31:52,160 --> 00:31:54,800 Speaker 8: be a big part of their business going forward. But absolutely, 627 00:31:54,840 --> 00:31:57,840 Speaker 8: they're almost doubling their footprint in some of the areas, 628 00:31:57,880 --> 00:32:00,760 Speaker 8: like especially in California, they're kind of going to their footprint, 629 00:32:00,880 --> 00:32:05,080 Speaker 8: going to almost add a whole new park in you know, 630 00:32:05,240 --> 00:32:07,920 Speaker 8: in Orlando when all is said and done. So, yeah, 631 00:32:08,000 --> 00:32:10,480 Speaker 8: big investment in in the parks, and they're kind of 632 00:32:10,560 --> 00:32:13,440 Speaker 8: hoping that's going to pay off as they keep increasing prices. 633 00:32:13,720 --> 00:32:15,880 Speaker 2: So I sent Paul an article this morning. Was one 634 00:32:15,880 --> 00:32:17,640 Speaker 2: of the first things, I read that when it ran, 635 00:32:17,720 --> 00:32:20,680 Speaker 2: it came in that Disneyland raises prices by about six 636 00:32:20,800 --> 00:32:25,240 Speaker 2: percent on the most popular days. So the most expensive 637 00:32:25,280 --> 00:32:28,040 Speaker 2: tickets now, typically weekends and holidays, are climbing over six 638 00:32:28,120 --> 00:32:31,040 Speaker 2: percent two hundred and six dollars a day. At what 639 00:32:31,280 --> 00:32:34,440 Speaker 2: point here are we capping out on price increases. I mean, 640 00:32:34,440 --> 00:32:36,000 Speaker 2: if you have a family of four and there are 641 00:32:36,040 --> 00:32:38,680 Speaker 2: two parents, it's twelve hundred dollars for one day. 642 00:32:40,640 --> 00:32:42,320 Speaker 8: I don't think we're capping out. I think, you know, 643 00:32:42,400 --> 00:32:44,640 Speaker 8: Paul kind of summed this up perfectly. You know, once 644 00:32:44,720 --> 00:32:47,280 Speaker 8: you go there, you're not thinking of how much you're spending. 645 00:32:47,760 --> 00:32:50,400 Speaker 8: And so actually, as we kind of model out the 646 00:32:50,520 --> 00:32:53,200 Speaker 8: average prices, you know, it's close to about it's about 647 00:32:53,200 --> 00:32:55,960 Speaker 8: one hundred and ninety dollars right now, the average you know, 648 00:32:56,040 --> 00:32:59,480 Speaker 8: per capita spending per person. We think this pretty much 649 00:32:59,520 --> 00:33:02,160 Speaker 8: goes to a about three hundred dollars over the course 650 00:33:02,200 --> 00:33:03,520 Speaker 8: of the next four to five years. 651 00:33:04,120 --> 00:33:06,600 Speaker 4: And nobody does it better than Disney. I mean, you 652 00:33:06,680 --> 00:33:09,440 Speaker 4: get this little wristband, so you know, you're not even 653 00:33:09,520 --> 00:33:11,320 Speaker 4: physically taking out your credit card. 654 00:33:11,280 --> 00:33:13,400 Speaker 5: So easy to tap it and you just tap and go, 655 00:33:13,680 --> 00:33:15,560 Speaker 5: and you know, it's just and you. 656 00:33:15,520 --> 00:33:17,080 Speaker 2: Don't see it until you look at your credit card 657 00:33:17,120 --> 00:33:18,800 Speaker 2: statement in like a month or something exactly. 658 00:33:18,960 --> 00:33:22,040 Speaker 4: So it's nobody's better at it than Disney. All right, 659 00:33:22,080 --> 00:33:25,080 Speaker 4: So let's step back on the Disney story here, the 660 00:33:25,080 --> 00:33:27,920 Speaker 4: theme parks. We've got a good handle on that. Where 661 00:33:28,040 --> 00:33:31,440 Speaker 4: are we in terms of profitability of the streaming business? 662 00:33:32,400 --> 00:33:35,000 Speaker 4: Is this still a big big headwind for the company 663 00:33:35,040 --> 00:33:35,440 Speaker 4: in the stock? 664 00:33:36,520 --> 00:33:39,440 Speaker 8: Not anymore, Paul, So you know, the turnaround has finally 665 00:33:39,560 --> 00:33:42,720 Speaker 8: taken place. It happened last quarter, and we are actually 666 00:33:42,760 --> 00:33:45,440 Speaker 8: going to see the streaming business now become a major 667 00:33:45,640 --> 00:33:48,120 Speaker 8: contributor to actually the bottom line. So so far it 668 00:33:48,160 --> 00:33:50,720 Speaker 8: has been a huge drag. There were almost four billion 669 00:33:50,800 --> 00:33:53,280 Speaker 8: in losses just a few years ago. But now we're 670 00:33:53,360 --> 00:33:55,960 Speaker 8: seeing that it's breaking even. It's going to become a 671 00:33:56,000 --> 00:34:00,640 Speaker 8: positive profit contributor. Why, because they're increasing prices. You're going 672 00:34:00,720 --> 00:34:03,120 Speaker 8: to see a huge jump in your Disney Plus subscription 673 00:34:03,240 --> 00:34:07,360 Speaker 8: come October seventeenth. They're cracking down on password sharing. That's 674 00:34:07,400 --> 00:34:10,560 Speaker 8: something that you know, they're just copying from what Netflix did. Again, 675 00:34:10,600 --> 00:34:13,760 Speaker 8: that should lead to a nice bump in their average 676 00:34:13,800 --> 00:34:17,360 Speaker 8: revenue per user. And then they're also they've also introduced 677 00:34:17,400 --> 00:34:19,920 Speaker 8: the advertising tier, and so advertising, which is already a 678 00:34:19,960 --> 00:34:22,160 Speaker 8: pretty big business for them, they're really going to double 679 00:34:22,239 --> 00:34:25,080 Speaker 8: down on that as well. So they have multiple levers 680 00:34:25,160 --> 00:34:27,400 Speaker 8: that they're pulling now. As far as the streaming business 681 00:34:27,480 --> 00:34:28,319 Speaker 8: is concerned. 682 00:34:28,920 --> 00:34:31,760 Speaker 2: What how is the stock trading? Is the stock trading 683 00:34:32,040 --> 00:34:34,760 Speaker 2: encompassing all of this? Do you think it's undervalued? Overvalued? 684 00:34:34,800 --> 00:34:36,840 Speaker 2: I know you guys don't give actual valuations on the 685 00:34:36,880 --> 00:34:39,360 Speaker 2: equity market for that, but I'm just curious is to 686 00:34:39,400 --> 00:34:41,320 Speaker 2: see in terms of relative valuation. 687 00:34:42,360 --> 00:34:44,600 Speaker 8: I think in terms of relative valuation it's definitely a 688 00:34:44,680 --> 00:34:47,080 Speaker 8: little bit undervalued right now. And I think that's just 689 00:34:47,160 --> 00:34:49,160 Speaker 8: because you know, we kind of have to wait for 690 00:34:49,680 --> 00:34:52,560 Speaker 8: higher visibility in terms of the theme parks. So they 691 00:34:52,600 --> 00:34:55,520 Speaker 8: have clearly said that the theme park business is going 692 00:34:55,560 --> 00:34:58,759 Speaker 8: to be under pressure through most of fiscal twenty twenty five. 693 00:34:59,239 --> 00:35:03,080 Speaker 8: So we see like a nice ramp up in growth 694 00:35:03,320 --> 00:35:06,279 Speaker 8: with the parks. I think we're going to see that 695 00:35:07,280 --> 00:35:10,480 Speaker 8: somewhat of a negative sentiment and somewhat if that's sustained pressure. 696 00:35:10,480 --> 00:35:13,399 Speaker 4: Boy, because it seemed like it seemed for a while there. 697 00:35:13,520 --> 00:35:15,680 Speaker 4: Once they make that turn, that's when you want to 698 00:35:15,719 --> 00:35:17,759 Speaker 4: dive into the stock. But I guess that's at a 699 00:35:17,800 --> 00:35:20,279 Speaker 4: time where maybe the US consumers you know, a little 700 00:35:20,280 --> 00:35:22,319 Speaker 4: bit weaker on the margin, and that's going to hit 701 00:35:22,360 --> 00:35:26,480 Speaker 4: the theme parks compared to what yours or exactly yes, 702 00:35:26,800 --> 00:35:29,160 Speaker 4: spending like crazy. They're gonna have a blowout quarter this quarter, 703 00:35:29,239 --> 00:35:31,439 Speaker 4: gith that you can call it right now, all right, Githy, 704 00:35:31,440 --> 00:35:33,480 Speaker 4: thanks so much for joining us. Githa RANGANATHANCI is a 705 00:35:33,600 --> 00:35:36,960 Speaker 4: US media analyst for Bloomberg Intelligence. She covers all that stuff. 706 00:35:37,040 --> 00:35:40,439 Speaker 4: Disney obviously a huge, huge name in that sector, and again, 707 00:35:40,520 --> 00:35:43,400 Speaker 4: investors have been waiting for the turn and profitability for 708 00:35:43,480 --> 00:35:45,800 Speaker 4: the streaming business, and it looks like they're at that 709 00:35:45,880 --> 00:35:48,239 Speaker 4: point making that turn there to profitability. So we'll see 710 00:35:48,520 --> 00:35:50,480 Speaker 4: to what extent taken Rampant. I mean, you look at 711 00:35:50,520 --> 00:35:53,120 Speaker 4: the margins, the profit margins at Netflix, and I don't 712 00:35:53,120 --> 00:35:54,600 Speaker 4: think Disney is saying they're going to get to those 713 00:35:54,640 --> 00:35:57,160 Speaker 4: profit margage margins. But if they get to something close 714 00:35:57,239 --> 00:35:59,759 Speaker 4: to that, that's a lot of cash and a lot 715 00:35:59,800 --> 00:36:03,120 Speaker 4: of earnings here for the company. So but the stock, again, 716 00:36:03,160 --> 00:36:05,279 Speaker 4: it's one hundred and sixty seven billion dollar market cap stock, 717 00:36:05,320 --> 00:36:07,560 Speaker 4: but it's only up two percent year to date only 718 00:36:07,640 --> 00:36:11,440 Speaker 4: up about ten percent or trailing twelve months, badly trailing 719 00:36:11,680 --> 00:36:14,120 Speaker 4: the market there. And that's what Scott, that's been, you know, 720 00:36:14,160 --> 00:36:16,600 Speaker 4: a real concern for media investors, the sector tough for 721 00:36:16,680 --> 00:36:18,200 Speaker 4: that sector to work if Disney sstant work. 722 00:36:18,280 --> 00:36:20,840 Speaker 2: Yeah, yeah, absolutely U I've takeing a look at all 723 00:36:20,880 --> 00:36:23,640 Speaker 2: of that. As Hurricane Milton continues to bear down on 724 00:36:23,840 --> 00:36:26,640 Speaker 2: Florida with house toppling Wins. 725 00:36:28,280 --> 00:36:32,120 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 726 00:36:32,239 --> 00:36:35,760 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 727 00:36:35,800 --> 00:36:38,520 Speaker 1: Auto with the Bloomberg Business app. You can also listen 728 00:36:38,680 --> 00:36:41,719 Speaker 1: live on Amazon Alexa from our flagship New York station 729 00:36:42,120 --> 00:36:44,880 Speaker 1: just say Alexa playing Bloomberg eleven thirty. 730 00:36:46,560 --> 00:36:48,839 Speaker 4: I was just looking at an Nvidia that is within 731 00:36:48,880 --> 00:36:51,680 Speaker 4: a couple of points of its all time high again, 732 00:36:51,760 --> 00:36:53,040 Speaker 4: So there was a little bit of a solved there 733 00:36:53,080 --> 00:36:54,600 Speaker 4: in some of those AI names. But they seem to 734 00:36:54,640 --> 00:36:56,719 Speaker 4: be coming back a little bit, So see what's going 735 00:36:56,719 --> 00:36:59,120 Speaker 4: on there. Kim Forrest joins us. She's a founder and 736 00:36:59,200 --> 00:37:01,640 Speaker 4: she's a chief investment an officer at Boco Capital Partners. 737 00:37:01,640 --> 00:37:04,799 Speaker 4: She's at there in Pittsburgh and longtime technology analysts really 738 00:37:04,840 --> 00:37:07,359 Speaker 4: have some good views there and I love to Kim. 739 00:37:07,400 --> 00:37:09,279 Speaker 4: I love to get your thoughts kind of on this 740 00:37:09,480 --> 00:37:11,719 Speaker 4: AI traded. You know, had a little bit of a 741 00:37:11,840 --> 00:37:14,880 Speaker 4: lull there for a while, but it seems to be 742 00:37:14,960 --> 00:37:16,840 Speaker 4: coming back. How do you think about it? 743 00:37:19,200 --> 00:37:22,560 Speaker 10: Well, it's generative AI is the thing, and it has 744 00:37:22,640 --> 00:37:25,440 Speaker 10: been the thing for I don't know, maybe twenty four 745 00:37:25,520 --> 00:37:27,839 Speaker 10: months now, it seems like forever. But here we are, 746 00:37:28,600 --> 00:37:32,399 Speaker 10: and every once in a while people go, uh, oh, wait, 747 00:37:32,800 --> 00:37:36,520 Speaker 10: it's it's wrong, sometimes right, and then they go wait, 748 00:37:36,880 --> 00:37:39,520 Speaker 10: like it doesn't solve any problems, but we know it's cool, 749 00:37:39,680 --> 00:37:42,880 Speaker 10: So should we keep funding it, you know, as investors? 750 00:37:43,239 --> 00:37:46,200 Speaker 10: And the answer seems to be yes. But there are fears, 751 00:37:46,440 --> 00:37:50,160 Speaker 10: and I think rightly placed, that we don't really know 752 00:37:50,320 --> 00:37:53,120 Speaker 10: how big this market is. We keep being told that, 753 00:37:53,400 --> 00:37:56,120 Speaker 10: you know, data centers are going to take over large 754 00:37:56,200 --> 00:37:59,200 Speaker 10: swaths of America. I don't know that. I believe that. 755 00:37:59,640 --> 00:38:02,840 Speaker 10: I think think my biggest problem with generative AI is 756 00:38:03,320 --> 00:38:07,040 Speaker 10: there it's unclear about what problem it's solving, and then 757 00:38:07,120 --> 00:38:09,200 Speaker 10: that leads to the question how much would you pay 758 00:38:09,640 --> 00:38:12,040 Speaker 10: to solve this problem? And I don't have answers to 759 00:38:12,120 --> 00:38:13,839 Speaker 10: either one of those, And I think that's what makes 760 00:38:14,239 --> 00:38:15,920 Speaker 10: a lot of investors uncomfortable. 761 00:38:16,360 --> 00:38:19,640 Speaker 4: Well, maybe given that lack of comfort there and maybe 762 00:38:19,680 --> 00:38:22,480 Speaker 4: some of the finer points of the AI story, is 763 00:38:22,640 --> 00:38:26,759 Speaker 4: technology still a sector that can lead the broader markets higher, 764 00:38:26,840 --> 00:38:28,600 Speaker 4: like it's done for much of the last I don't know, 765 00:38:28,680 --> 00:38:29,600 Speaker 4: ten or fifteen years. 766 00:38:31,000 --> 00:38:35,279 Speaker 10: Absolutely, I'm a cute you know, even though I'm like 767 00:38:35,440 --> 00:38:37,360 Speaker 10: a little bit of a doubting Thomas here on the 768 00:38:37,400 --> 00:38:38,359 Speaker 10: whole generative AI. 769 00:38:39,120 --> 00:38:40,759 Speaker 3: I used to work in AI, and I. 770 00:38:40,880 --> 00:38:43,760 Speaker 10: Know the power of the problems that it can solve, 771 00:38:44,200 --> 00:38:47,360 Speaker 10: and they're much smaller than somebody talking to a computer 772 00:38:47,480 --> 00:38:50,399 Speaker 10: and say design me a new car. Computer, Like, that's 773 00:38:50,480 --> 00:38:53,799 Speaker 10: not a thing, you know, ridiculous, you know, just one 774 00:38:53,960 --> 00:38:58,040 Speaker 10: sentence problem solving, you know what I mean. But I 775 00:38:58,239 --> 00:39:03,239 Speaker 10: do think that productivity is the thing that drives businesses 776 00:39:03,320 --> 00:39:07,520 Speaker 10: to invest, and that drives technology companies to try to 777 00:39:08,040 --> 00:39:11,080 Speaker 10: solve those business problems. And at the end of the day, 778 00:39:11,320 --> 00:39:15,239 Speaker 10: that is what drives technology. Although people like to use it, 779 00:39:15,400 --> 00:39:18,440 Speaker 10: it's fun, it's interesting, but they don't pay nearly as 780 00:39:18,520 --> 00:39:20,879 Speaker 10: much as businesses do to run technology. 781 00:39:21,560 --> 00:39:24,160 Speaker 4: All Right, Kim, We've got a federal reserve that isn't 782 00:39:24,400 --> 00:39:26,759 Speaker 4: a rate cutting mode. Maybe there's some debate about how 783 00:39:27,200 --> 00:39:29,799 Speaker 4: far and how quickly they do that if you look 784 00:39:29,800 --> 00:39:33,000 Speaker 4: at the bond market. But earnings, I think they still matter, 785 00:39:33,239 --> 00:39:35,120 Speaker 4: and JP Morgan is going to really kick things off 786 00:39:35,160 --> 00:39:37,920 Speaker 4: on Friday. What are you looking for out of corporate 787 00:39:37,920 --> 00:39:38,920 Speaker 4: American this earning season? 788 00:39:40,040 --> 00:39:44,440 Speaker 10: Sure? Well, October is really the twitchiest earning season because 789 00:39:44,680 --> 00:39:48,160 Speaker 10: a lot of companies didn't know if they were going 790 00:39:48,280 --> 00:39:51,640 Speaker 10: to make their quarter because of the vacation schedule of everybody, 791 00:39:51,760 --> 00:39:55,160 Speaker 10: So that always adds a layer of uncertainty. 792 00:39:54,760 --> 00:39:55,439 Speaker 4: To this time. 793 00:39:56,000 --> 00:39:58,480 Speaker 10: But that being said, I think the bar was set 794 00:39:58,560 --> 00:40:01,440 Speaker 10: low enough. I haven't seen very many, if any pre 795 00:40:01,560 --> 00:40:06,680 Speaker 10: announcements from companies. That's still ongoing as they tally things 796 00:40:06,760 --> 00:40:10,800 Speaker 10: and the SEC forces a company to give in meaningful 797 00:40:11,000 --> 00:40:14,680 Speaker 10: material information to its investors, so we always look for that, 798 00:40:14,840 --> 00:40:17,200 Speaker 10: but I don't see very much much in the way 799 00:40:17,239 --> 00:40:20,319 Speaker 10: of pre announcements. Now. What we're going to now look 800 00:40:20,400 --> 00:40:23,560 Speaker 10: at is what do companies see going forward. I think 801 00:40:23,600 --> 00:40:26,240 Speaker 10: there are some questions about whether or not this economy 802 00:40:26,400 --> 00:40:30,080 Speaker 10: is truly as strong as some of the numbers forecast, 803 00:40:30,880 --> 00:40:33,040 Speaker 10: So that is what we're going to be looking for 804 00:40:33,320 --> 00:40:37,360 Speaker 10: all season long. All earning season is do the company 805 00:40:37,520 --> 00:40:40,520 Speaker 10: see the next six months to a year strong week 806 00:40:40,840 --> 00:40:42,040 Speaker 10: or somewhere in between. 807 00:40:43,200 --> 00:40:45,640 Speaker 2: Do you think it's going to be mag seven or 808 00:40:45,719 --> 00:40:47,799 Speaker 2: the other four hundred and ninety three stocks this time? 809 00:40:48,280 --> 00:40:50,560 Speaker 10: Oh my god, I wish Meg seven would just take 810 00:40:50,600 --> 00:40:54,640 Speaker 10: a break sometimes, you know, Oh gosh, But I think 811 00:40:54,719 --> 00:40:58,440 Speaker 10: mag seven still has that generative AI magic going on. 812 00:40:59,600 --> 00:41:03,120 Speaker 10: But there is room for other companies, especially in a 813 00:41:03,200 --> 00:41:07,440 Speaker 10: declining rate the smaller companies get bought by larger companies, 814 00:41:07,880 --> 00:41:10,520 Speaker 10: and that's really been in quite a lot because of 815 00:41:10,600 --> 00:41:13,719 Speaker 10: the high interest rate environment. Now that companies know that 816 00:41:13,920 --> 00:41:17,000 Speaker 10: the or have a pretty good idea that the interest 817 00:41:17,080 --> 00:41:20,359 Speaker 10: rates are dropping, they are going to go back into 818 00:41:20,440 --> 00:41:23,400 Speaker 10: the shopping mode, which is always exciting for me because 819 00:41:23,400 --> 00:41:24,960 Speaker 10: I own some of those smaller names. 820 00:41:25,880 --> 00:41:28,600 Speaker 4: So small cap again, we've heard it that maybe in 821 00:41:28,640 --> 00:41:30,880 Speaker 4: a lower interest rate environment they will do better on 822 00:41:30,960 --> 00:41:34,319 Speaker 4: a relative basis. Certainly there's valuation. There are there certain 823 00:41:34,440 --> 00:41:37,960 Speaker 4: sectors on a small MidCap that screen well for you guys. 824 00:41:39,200 --> 00:41:43,719 Speaker 10: Well you know, there's technology that's always good. And you 825 00:41:43,800 --> 00:41:48,640 Speaker 10: know one of our smaller companies is getting bought by Synopsis. 826 00:41:48,760 --> 00:41:52,840 Speaker 10: So that's really the key here is a small company 827 00:41:52,920 --> 00:41:56,200 Speaker 10: that can fit into the larger companies product suite or 828 00:41:56,280 --> 00:41:59,759 Speaker 10: expand its total addressable market. That's what you're looking for 829 00:42:00,040 --> 00:42:03,479 Speaker 10: in a takeover candidate. And I think just about every 830 00:42:03,600 --> 00:42:08,399 Speaker 10: industry has, you know, some smaller companies that could get 831 00:42:08,440 --> 00:42:10,200 Speaker 10: bought by larger companies. 832 00:42:10,600 --> 00:42:11,000 Speaker 4: You like. 833 00:42:13,719 --> 00:42:19,759 Speaker 2: Like, yeah, say individual names, just give me Like, where 834 00:42:19,760 --> 00:42:21,600 Speaker 2: are the sectors where that might make the most sense. 835 00:42:22,880 --> 00:42:26,520 Speaker 10: Well, there's banking, there's always banking, right, there's too many banks. 836 00:42:26,800 --> 00:42:31,080 Speaker 10: There's that technology. There's lots of point products that would 837 00:42:31,120 --> 00:42:35,719 Speaker 10: go nicely into a larger, larger companies suite of products. 838 00:42:37,600 --> 00:42:40,440 Speaker 10: Retail not so much, God knows, we love to talk 839 00:42:40,480 --> 00:42:44,399 Speaker 10: about retail, but I think that's that looks pretty good 840 00:42:44,520 --> 00:42:50,360 Speaker 10: for right now. Maybe industrials again, point products going into 841 00:42:50,480 --> 00:42:54,120 Speaker 10: a larger company to allow that larger company to satisfy 842 00:42:54,239 --> 00:42:57,960 Speaker 10: its customers with a broader suite of products. So those 843 00:42:58,000 --> 00:42:59,919 Speaker 10: are the key areas that I look at. 844 00:43:00,320 --> 00:43:02,040 Speaker 4: All right, Kim, thanks so much for joining us. Always 845 00:43:02,040 --> 00:43:04,760 Speaker 4: appreciate getting your thoughts. Kim Farst. She is the founder 846 00:43:04,960 --> 00:43:08,000 Speaker 4: and the chief investment officer Boca Capital Partners. There are 847 00:43:08,040 --> 00:43:09,760 Speaker 4: out there in Pittsburgh, PA. 848 00:43:11,440 --> 00:43:15,279 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 849 00:43:15,400 --> 00:43:18,920 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 850 00:43:18,960 --> 00:43:21,680 Speaker 1: Auto with the Bloomberg Business app. You can also listen 851 00:43:21,840 --> 00:43:24,919 Speaker 1: live on Amazon Alexa from our flagship New York station, 852 00:43:25,320 --> 00:43:28,320 Speaker 1: Just say Alexa play Bloomberg eleven thirty. 853 00:43:29,239 --> 00:43:31,480 Speaker 4: Alex Olpaul Sweeney. You live here in our Bloomberg Interactive 854 00:43:31,480 --> 00:43:34,840 Speaker 4: Brokers studio. We're streaming live on YouTube as well, so 855 00:43:34,960 --> 00:43:37,359 Speaker 4: go over to that internet thing, YouTube dot com, Charch 856 00:43:37,440 --> 00:43:40,080 Speaker 4: Bloomberg Local Radio, and that's where you'll find us. All right. 857 00:43:41,200 --> 00:43:44,560 Speaker 4: Sustainable aviation fuel, I didn't know it was a thing. 858 00:43:45,120 --> 00:43:46,600 Speaker 4: Alex knows it's a thing. I did not know it 859 00:43:46,680 --> 00:43:48,680 Speaker 4: was a thing. Fortunately, we have people actually do that 860 00:43:48,760 --> 00:43:51,200 Speaker 4: stuff here. Anna Davies is one of them. She's head 861 00:43:51,239 --> 00:43:54,839 Speaker 4: of Renewable Fuels at b n EF. Joining us live 862 00:43:54,840 --> 00:43:58,600 Speaker 4: here in our Bloomberg Interactive Brokers studio. And I just 863 00:43:58,960 --> 00:44:01,239 Speaker 4: use jet fuel, throw it in my jet and I go, 864 00:44:01,680 --> 00:44:02,000 Speaker 4: what is. 865 00:44:02,040 --> 00:44:03,839 Speaker 2: Sustainablen't have an actual private jet. 866 00:44:04,640 --> 00:44:07,680 Speaker 4: Just in my mind, what is a sustainable aviation fuel? 867 00:44:07,719 --> 00:44:08,080 Speaker 3: What is it? 868 00:44:08,239 --> 00:44:11,160 Speaker 4: And is it being used? And how well is it 869 00:44:11,239 --> 00:44:12,000 Speaker 4: being used these days? 870 00:44:12,239 --> 00:44:15,520 Speaker 9: So hey, nice to be here. What is sustainable aviation fuel. 871 00:44:15,600 --> 00:44:17,440 Speaker 9: You use it exactly like that. You can throw it 872 00:44:17,480 --> 00:44:19,920 Speaker 9: in your private jet and go and it'll work just 873 00:44:19,960 --> 00:44:23,239 Speaker 9: the same way. Really, it is in as simplest form, 874 00:44:23,560 --> 00:44:26,640 Speaker 9: molecularly pretty much identical to fossil jet fuel. The only 875 00:44:26,680 --> 00:44:29,640 Speaker 9: difference is it doesn't come from fossil fuels, so mostly 876 00:44:29,760 --> 00:44:32,400 Speaker 9: it comes at the moment from biofuels. So instead of 877 00:44:32,520 --> 00:44:36,200 Speaker 9: having a crude oil, you're using a biooil, so something 878 00:44:36,239 --> 00:44:39,040 Speaker 9: like soybean oil, or use cooking oil the leftover oils 879 00:44:39,080 --> 00:44:40,759 Speaker 9: from your deep fryer. 880 00:44:40,960 --> 00:44:44,160 Speaker 2: Which would be the issue now, supply or demand when 881 00:44:44,200 --> 00:44:45,040 Speaker 2: it comes to staff. 882 00:44:45,200 --> 00:44:47,320 Speaker 9: That is a very good question because everybody says we 883 00:44:47,400 --> 00:44:49,920 Speaker 9: need more, there's not enough produced. There's all this demand 884 00:44:50,000 --> 00:44:52,120 Speaker 9: that we need to replace fossil jet. But we have 885 00:44:52,239 --> 00:44:55,600 Speaker 9: seen both suppliers and actually airlines kind of push back 886 00:44:55,680 --> 00:44:57,040 Speaker 9: on roll back their targets. 887 00:44:57,719 --> 00:44:58,080 Speaker 5: Right now. 888 00:44:58,200 --> 00:45:00,360 Speaker 9: The problem is it's expensive and no but he is 889 00:45:00,480 --> 00:45:02,840 Speaker 9: really willing to pay it. So we see buyers not 890 00:45:02,960 --> 00:45:05,120 Speaker 9: quite willing or able to step in to take it, 891 00:45:05,200 --> 00:45:07,040 Speaker 9: and as a result, we don't see suppliers able to 892 00:45:07,239 --> 00:45:09,080 Speaker 9: secure financing to build their facilities. 893 00:45:09,120 --> 00:45:11,440 Speaker 4: So how do That's a chicken and Yan type type 894 00:45:11,480 --> 00:45:14,080 Speaker 4: of thing. How do you think you solve for that? 895 00:45:14,280 --> 00:45:16,440 Speaker 4: Is that bringing the cost of production down? Is it 896 00:45:16,480 --> 00:45:17,800 Speaker 4: trying to stimulate demand somehow? 897 00:45:18,120 --> 00:45:21,360 Speaker 9: So we anticipate the cost of production at pnof we 898 00:45:21,440 --> 00:45:25,480 Speaker 9: try and calculate and mart exactly, and we do not 899 00:45:25,600 --> 00:45:27,840 Speaker 9: see the cost coming down to reach parity. Really like 900 00:45:27,880 --> 00:45:29,960 Speaker 9: current jet fuel prices, it's always going to be orders, 901 00:45:30,160 --> 00:45:33,800 Speaker 9: a couple orders the magnitude above. So the real crux 902 00:45:33,840 --> 00:45:36,400 Speaker 9: that's needed is policy. You need to have a policy 903 00:45:36,480 --> 00:45:39,680 Speaker 9: push to either incentivize its uptake or force it, and 904 00:45:39,760 --> 00:45:41,800 Speaker 9: we're seeing both of those policies developing. 905 00:45:41,480 --> 00:45:44,000 Speaker 2: Which basically what that means is that you have to 906 00:45:44,040 --> 00:45:46,840 Speaker 2: subsidize the difference between staff and a regular jet fuel 907 00:45:47,080 --> 00:45:49,000 Speaker 2: And what the IRA did it was really helpful and 908 00:45:49,080 --> 00:45:51,920 Speaker 2: incentivizing the supply, but not the demand side of it. 909 00:45:52,640 --> 00:45:54,359 Speaker 2: How close do you think that is right now? 910 00:45:54,840 --> 00:45:57,880 Speaker 9: So the IRA, the Inflation Reduction Act, does offer a 911 00:45:58,000 --> 00:46:01,319 Speaker 9: tax credit for sustainable aviation fiel perdu, which does help 912 00:46:01,360 --> 00:46:03,640 Speaker 9: to project gap. There's still a lot of uncertainty as 913 00:46:03,719 --> 00:46:06,200 Speaker 9: to what will qualify. You need to have a certain 914 00:46:06,239 --> 00:46:08,880 Speaker 9: amount of types of feedstock in order to bring your 915 00:46:08,880 --> 00:46:11,640 Speaker 9: actual emissions reduction down. That's a big issue in the market. 916 00:46:12,520 --> 00:46:14,160 Speaker 9: It also is not only in place for a couple 917 00:46:14,160 --> 00:46:16,239 Speaker 9: of years, which isn't going to help finance a thirty 918 00:46:16,320 --> 00:46:20,600 Speaker 9: year facility. You see places like Europe taking the opposite approach, 919 00:46:20,640 --> 00:46:23,640 Speaker 9: where they're just mandating blending in. So they're saying airlines 920 00:46:23,760 --> 00:46:26,920 Speaker 9: and airports have to blend a certain amount and that's 921 00:46:26,960 --> 00:46:28,680 Speaker 9: going to ramp up of the next few years. Sort 922 00:46:28,719 --> 00:46:30,640 Speaker 9: it out, figure out the cost. And then you see 923 00:46:30,640 --> 00:46:34,040 Speaker 9: places like Singapore which is actually imposing a levee on 924 00:46:35,200 --> 00:46:37,360 Speaker 9: airline tickets and saying, okay, we think staff is going 925 00:46:37,440 --> 00:46:38,880 Speaker 9: to cost this much in order to blend in, we 926 00:46:39,000 --> 00:46:42,080 Speaker 9: have blending targets. We're just going to put an additional 927 00:46:42,200 --> 00:46:45,040 Speaker 9: cost on airline tickets in order to cover the cost 928 00:46:45,120 --> 00:46:45,480 Speaker 9: of staff. 929 00:46:46,160 --> 00:46:48,799 Speaker 2: I mean, see what works in theory? That makes sense, right, 930 00:46:48,960 --> 00:46:50,840 Speaker 2: Like you just pass it down to the consumer. But 931 00:46:50,880 --> 00:46:53,000 Speaker 2: it does point out that any anyergery transition that you 932 00:46:53,120 --> 00:46:56,240 Speaker 2: can do will eventually be then passed on to the consumer. 933 00:46:55,960 --> 00:46:57,000 Speaker 5: Consumer or tax payer. 934 00:46:57,080 --> 00:46:57,239 Speaker 8: Yeah. 935 00:46:57,320 --> 00:47:00,480 Speaker 4: Probably interesting. So what the US airlines are here, I'm 936 00:47:00,480 --> 00:47:02,239 Speaker 4: just reading some of your research here. So bn F 937 00:47:02,360 --> 00:47:06,040 Speaker 4: tracks airline net zero commitments and sustainable aviation fuel commitments, 938 00:47:06,320 --> 00:47:08,960 Speaker 4: and currently forty four airlines counting for just under half 939 00:47:09,040 --> 00:47:13,160 Speaker 4: of jet fuel consumed globally have some saf target usually 940 00:47:13,239 --> 00:47:16,160 Speaker 4: ten percent by twenty thirty. Is that good enough? 941 00:47:16,840 --> 00:47:19,200 Speaker 5: Well, it's a target, So the question is will they 942 00:47:19,280 --> 00:47:19,960 Speaker 5: hit those targets? 943 00:47:20,200 --> 00:47:20,600 Speaker 10: Is it real? 944 00:47:21,040 --> 00:47:23,280 Speaker 9: Can they do that? And that's where we are starting 945 00:47:23,320 --> 00:47:27,240 Speaker 9: to see some airlines procure SAFF volumes like United procures 946 00:47:27,239 --> 00:47:29,239 Speaker 9: a lot. If you fly out, if you fly on 947 00:47:29,400 --> 00:47:31,680 Speaker 9: say United out of San Francisco or La chances are 948 00:47:31,719 --> 00:47:33,000 Speaker 9: there some staff in the tank. 949 00:47:33,080 --> 00:47:33,680 Speaker 4: Can they blend it? 950 00:47:34,040 --> 00:47:35,640 Speaker 9: They can blend it one for one. That's one of 951 00:47:35,719 --> 00:47:38,040 Speaker 9: the beautiful things about sustainable aviation fuel. 952 00:47:37,920 --> 00:47:40,280 Speaker 2: Well all in that you can just like easy replacement, 953 00:47:40,920 --> 00:47:42,759 Speaker 2: you can take the jet full fuel allowed and put 954 00:47:42,760 --> 00:47:44,640 Speaker 2: it back in versus if you did a hydrogen plane 955 00:47:44,760 --> 00:47:45,760 Speaker 2: or some other kind of plane. 956 00:47:45,880 --> 00:47:48,080 Speaker 9: Yeah, so you don't need new tanks or new aircrafts. 957 00:47:48,600 --> 00:47:50,080 Speaker 9: You can blend it up to fifty percent. 958 00:47:50,200 --> 00:47:52,400 Speaker 5: Currently is the regulatory produces system. 959 00:47:52,920 --> 00:47:55,440 Speaker 9: It is currently produced in very small quantities. So right 960 00:47:55,520 --> 00:47:57,800 Speaker 9: now less than one percent of all jet fuel a 961 00:47:57,840 --> 00:48:00,319 Speaker 9: sustainable aviation fuel. So we're talking very Smalllliams. 962 00:48:00,560 --> 00:48:01,200 Speaker 5: It's produced. 963 00:48:01,400 --> 00:48:03,680 Speaker 9: A lot of oil and gas companies and refiners are 964 00:48:03,719 --> 00:48:06,600 Speaker 9: in on this space. So Neste, there's a company called 965 00:48:06,640 --> 00:48:09,240 Speaker 9: World Energy and one called Montana Renewables that are producing 966 00:48:09,280 --> 00:48:14,240 Speaker 9: at the moment. We're seeing P sixty six and Valero 967 00:48:14,400 --> 00:48:16,120 Speaker 9: through their partnerships with Darling Ingredients. 968 00:48:16,400 --> 00:48:19,480 Speaker 4: Those are regular refiners, so does like Valero regular who 969 00:48:19,560 --> 00:48:20,479 Speaker 4: does jet fuel today? 970 00:48:21,080 --> 00:48:22,520 Speaker 5: A lot of the refineries so if you think of 971 00:48:22,560 --> 00:48:23,400 Speaker 5: a refinery, go. 972 00:48:23,440 --> 00:48:24,920 Speaker 4: Talk to the refinery. So you guys need to put 973 00:48:24,960 --> 00:48:25,440 Speaker 4: out more. 974 00:48:25,400 --> 00:48:26,920 Speaker 9: And a lot of them are looking at it because 975 00:48:27,239 --> 00:48:29,080 Speaker 9: a lot of the process at the moment is similar. 976 00:48:29,120 --> 00:48:31,279 Speaker 9: You basically, instead of taking a crude oil, you take 977 00:48:31,280 --> 00:48:33,960 Speaker 9: a biooil, you put it through a refinery and get 978 00:48:34,360 --> 00:48:37,240 Speaker 9: sustainable aviation fuel. So you can actually convert some existing 979 00:48:37,360 --> 00:48:42,040 Speaker 9: oil refineries to take biofeedstocks and therefore make these biofuels. 980 00:48:42,440 --> 00:48:43,560 Speaker 5: So we are seeing them active. 981 00:48:43,680 --> 00:48:47,440 Speaker 2: What about the okay, so a different question, how do 982 00:48:47,520 --> 00:48:51,280 Speaker 2: you think this industry develops and where does the strength develop? 983 00:48:51,920 --> 00:48:53,520 Speaker 5: So a lot of this is policy led. 984 00:48:53,560 --> 00:48:55,800 Speaker 9: We are starting to see a lot of policies support 985 00:48:55,840 --> 00:48:57,840 Speaker 9: it though, because aviation is one of the crucks you 986 00:48:57,880 --> 00:49:01,799 Speaker 9: can make these types of sustainable fuels into a whole 987 00:49:01,800 --> 00:49:03,799 Speaker 9: lot of things. You can make diesel molecules, you can 988 00:49:03,880 --> 00:49:07,759 Speaker 9: make methanol molecules, petrochemicals, But aviation is the industry where 989 00:49:07,800 --> 00:49:10,279 Speaker 9: there aren't any really good alternatives, especially if you're looking 990 00:49:10,280 --> 00:49:13,200 Speaker 9: at like a twenty fifty SAP or net zero target, 991 00:49:13,360 --> 00:49:17,040 Speaker 9: because hydrogen aircraft, electric aircraft, it takes decades to get 992 00:49:17,040 --> 00:49:17,680 Speaker 9: those off the ground. 993 00:49:17,719 --> 00:49:19,200 Speaker 5: It takes decades for fleets to roll over. 994 00:49:19,280 --> 00:49:22,400 Speaker 9: So if you really want to decarbonize aviation by twenty fifty, 995 00:49:22,440 --> 00:49:24,919 Speaker 9: you're going to need to decarbonize the fuel that they're 996 00:49:24,920 --> 00:49:27,439 Speaker 9: currently using. So this is the area where we're seeing 997 00:49:27,440 --> 00:49:29,239 Speaker 9: a lot of policy start to move. I've mentioned a 998 00:49:29,320 --> 00:49:31,719 Speaker 9: few of them. We're starting to see some interest from 999 00:49:31,800 --> 00:49:34,560 Speaker 9: different producers. We're starting to see a lot of investment 1000 00:49:34,600 --> 00:49:37,160 Speaker 9: going into this because everybody assumes the market will get there. So, 1001 00:49:37,600 --> 00:49:40,239 Speaker 9: for instance, there's a different way of producing it where 1002 00:49:40,280 --> 00:49:43,200 Speaker 9: you take green hydrogen and captured carbon dioxide to make 1003 00:49:43,200 --> 00:49:46,239 Speaker 9: the fuel that's popular because you don't have the food 1004 00:49:46,320 --> 00:49:49,839 Speaker 9: versus fuel issues of a biofuel. Just earlier this month, 1005 00:49:49,920 --> 00:49:52,520 Speaker 9: we saw Brookfield invest over a billion dollars into one 1006 00:49:52,520 --> 00:49:53,920 Speaker 9: of these e fuel facilities. 1007 00:49:54,760 --> 00:49:56,160 Speaker 4: I need to go check out when these word are 1008 00:49:56,160 --> 00:49:58,640 Speaker 4: these things are? They just like in Texas and Louisiana. 1009 00:49:58,680 --> 00:49:59,960 Speaker 3: World they California calful. 1010 00:50:00,040 --> 00:50:01,719 Speaker 9: A lot of the fuel is sold in California and 1011 00:50:01,760 --> 00:50:03,839 Speaker 9: a lot of the old refineries are being converted there, 1012 00:50:03,920 --> 00:50:06,719 Speaker 9: but they are being produced everywhere. It depends on where 1013 00:50:06,719 --> 00:50:08,960 Speaker 9: the feedstock is. So you can see a lot of 1014 00:50:09,000 --> 00:50:11,080 Speaker 9: feedstock in the Midwest. A lot of the productions coming 1015 00:50:11,120 --> 00:50:14,200 Speaker 9: out there. We're starting to see fuels which are take 1016 00:50:14,280 --> 00:50:16,799 Speaker 9: green hydrogen. They need to be near cheap renewable energy, 1017 00:50:17,320 --> 00:50:19,040 Speaker 9: and so you'll see a lot of these. 1018 00:50:19,360 --> 00:50:23,239 Speaker 4: Fuel as efficient as carbon the regular fuel, because I 1019 00:50:23,239 --> 00:50:24,800 Speaker 4: don't want to be thirty five thousand feet in the 1020 00:50:24,800 --> 00:50:26,000 Speaker 4: air and then engine. 1021 00:50:26,080 --> 00:50:27,920 Speaker 2: As reliable thank you yeah. 1022 00:50:27,960 --> 00:50:31,680 Speaker 9: So it has to produce. It produces jet aspec fuel. 1023 00:50:32,560 --> 00:50:34,840 Speaker 9: There are questions if you had one hundred percent staff 1024 00:50:34,880 --> 00:50:37,600 Speaker 9: in your tank. Actually, a lot of the fossil jet 1025 00:50:37,680 --> 00:50:39,799 Speaker 9: fuels have some aromatics that end up in the jet 1026 00:50:39,840 --> 00:50:42,120 Speaker 9: fuel stream and that actually helps with seals in the engine. 1027 00:50:42,160 --> 00:50:44,920 Speaker 9: So they're testing that out, but nobody we don't have 1028 00:50:44,960 --> 00:50:47,000 Speaker 9: the quantities produced that you're anywhere near one hundred percent 1029 00:50:47,160 --> 00:50:48,840 Speaker 9: these days, and in general, you could think of it 1030 00:50:48,920 --> 00:50:50,640 Speaker 9: as exactly the same as jet fuel. 1031 00:50:52,120 --> 00:50:53,640 Speaker 4: I mean, all these people get we haven't had like 1032 00:50:53,960 --> 00:50:54,840 Speaker 4: a clunker yet at it. 1033 00:50:54,880 --> 00:50:58,120 Speaker 2: And for a long time she used to cover literally 1034 00:50:58,160 --> 00:51:02,919 Speaker 2: everything at Bloomberg Intelligence, no PF. It was like oil 1035 00:51:03,040 --> 00:51:04,600 Speaker 2: was gas, it was all. It was all the things, 1036 00:51:04,719 --> 00:51:05,920 Speaker 2: all right, and I was good to see you, Thanks 1037 00:51:05,920 --> 00:51:08,120 Speaker 2: so much. Anna Davis, a head of renewable fuels over 1038 00:51:08,160 --> 00:51:11,279 Speaker 2: at Bloomberg b n e F, where we get all 1039 00:51:11,440 --> 00:51:14,640 Speaker 2: the data that you need to know about the energy transition, honestly, 1040 00:51:14,719 --> 00:51:17,480 Speaker 2: from oil to gas to hydrogen. We'd get it all 1041 00:51:17,560 --> 00:51:17,759 Speaker 2: for you. 1042 00:51:18,360 --> 00:51:22,880 Speaker 1: This is the Bloomberg Intelligence podcast, available on Apples, Spotify, 1043 00:51:23,080 --> 00:51:26,720 Speaker 1: and anywhere else you'll get your podcasts. Listen live each weekday, 1044 00:51:26,880 --> 00:51:29,840 Speaker 1: ten am to noon Eastern on Bloomberg dot com, the 1045 00:51:29,960 --> 00:51:33,360 Speaker 1: iHeartRadio app, tune In, and the Bloomberg Business app. You 1046 00:51:33,440 --> 00:51:36,600 Speaker 1: can also watch us live every weekday on YouTube and 1047 00:51:36,760 --> 00:51:38,400 Speaker 1: always on the Bloomberg Terminal