1 00:00:02,720 --> 00:00:10,559 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,600 --> 00:00:14,560 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:14,600 --> 00:00:17,840 Speaker 1: easterne on Apple, Cocklay and Android Auto with the Bloomberg 4 00:00:17,920 --> 00:00:21,040 Speaker 1: Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,360 --> 00:00:23,560 Speaker 1: or watch us live on YouTube. 6 00:00:24,120 --> 00:00:25,439 Speaker 2: Herman Chan has his CFA. 7 00:00:25,560 --> 00:00:29,000 Speaker 3: He's also been monitoring the bank earnings and JP Morgan 8 00:00:29,040 --> 00:00:32,040 Speaker 3: got us started today, although the stock, as John mentioned, 9 00:00:32,120 --> 00:00:34,000 Speaker 3: is off by two and a half percent and banks 10 00:00:34,040 --> 00:00:36,239 Speaker 3: are the worst performing group in the S and P 11 00:00:36,440 --> 00:00:41,600 Speaker 3: five hundred. So Herman big takeaway for JP Morgan's latest results. 12 00:00:41,360 --> 00:00:43,920 Speaker 4: Yeah, takeaway since that the performance was strong, So we 13 00:00:43,960 --> 00:00:48,519 Speaker 4: were talking about really strong markets, trading revenue year every year, investment, 14 00:00:48,560 --> 00:00:51,240 Speaker 4: Magina game with Solo lights, and then the balance sheet 15 00:00:51,320 --> 00:00:53,720 Speaker 4: lending growth was really good. 16 00:00:53,760 --> 00:00:55,280 Speaker 5: So solid quarter all around. 17 00:00:55,880 --> 00:00:59,720 Speaker 4: Guidance was in line with what they had expected heading 18 00:00:59,720 --> 00:01:03,600 Speaker 4: into quarter, but a couple of lingering things. Higher expenses 19 00:01:04,040 --> 00:01:07,000 Speaker 4: for twenty twenty six as they continue to invest for growth. 20 00:01:07,280 --> 00:01:10,800 Speaker 4: We're talking about nine billion dollar increase in expenses, and 21 00:01:10,840 --> 00:01:13,520 Speaker 4: then the credit card cap is still lingering. 22 00:01:13,240 --> 00:01:15,720 Speaker 5: Across the JP Morgan and the large banks. 23 00:01:16,080 --> 00:01:19,280 Speaker 6: Herman, since everyone's been talking about the proposed cap by 24 00:01:19,280 --> 00:01:21,960 Speaker 6: President Trump on credit card fees. What was the messaging 25 00:01:22,040 --> 00:01:24,160 Speaker 6: from JP Morgan on the impact of that. 26 00:01:24,480 --> 00:01:29,520 Speaker 4: Yeah, the messaging was that this would have drastic repercussions 27 00:01:29,520 --> 00:01:33,640 Speaker 4: not only for JP Morgan, the banking industry, consumers, and 28 00:01:33,680 --> 00:01:37,040 Speaker 4: overall GDP growth. So you think of credit as being 29 00:01:37,080 --> 00:01:45,080 Speaker 4: the lubricator for economic activity, and when you slash card rates, 30 00:01:45,560 --> 00:01:49,840 Speaker 4: that really will reduce the credit availability for a lot 31 00:01:49,880 --> 00:01:52,000 Speaker 4: of JP Morgan's customers. So you can think of a 32 00:01:52,200 --> 00:01:55,480 Speaker 4: large swath of them just not having credit card usage 33 00:01:55,800 --> 00:01:57,800 Speaker 4: going forward under a ten percent rate cap. 34 00:01:58,160 --> 00:02:00,840 Speaker 3: And JP Morgan is obviously a lot more sensitive to 35 00:02:01,120 --> 00:02:04,000 Speaker 3: a potential cap on credit card interest rates than some 36 00:02:04,080 --> 00:02:05,680 Speaker 3: of the other big banks. I mean, this is a 37 00:02:05,720 --> 00:02:09,440 Speaker 3: bank that just purchased the Apple credit card business, or 38 00:02:09,560 --> 00:02:11,640 Speaker 3: is taking on that Apple credit card business that Goldman 39 00:02:11,680 --> 00:02:12,400 Speaker 3: Sachs gave up. 40 00:02:12,600 --> 00:02:13,080 Speaker 5: That's right. 41 00:02:13,120 --> 00:02:17,640 Speaker 4: So that's adding about two point that's adding twenty billion bounces, 42 00:02:17,639 --> 00:02:18,079 Speaker 4: give or take. 43 00:02:18,200 --> 00:02:21,079 Speaker 5: So that's something that will be helpful for them. 44 00:02:21,120 --> 00:02:25,120 Speaker 4: But really, JP Morgan is one of the more active 45 00:02:25,240 --> 00:02:28,640 Speaker 4: credit card issuers in our large cap bank coverage. 46 00:02:29,000 --> 00:02:30,280 Speaker 5: City is the first, followed. 47 00:02:30,000 --> 00:02:33,760 Speaker 4: By JP Morgan and then Bank of America's City and 48 00:02:34,840 --> 00:02:36,160 Speaker 4: US Bank lag after that. 49 00:02:36,960 --> 00:02:39,280 Speaker 6: What's the thing, Hermann that stood out most to you 50 00:02:39,320 --> 00:02:43,480 Speaker 6: today from JP Morgan's results. Was there anything significant compared 51 00:02:43,480 --> 00:02:44,320 Speaker 6: to prior quarters. 52 00:02:44,480 --> 00:02:45,480 Speaker 5: Yeah? 53 00:02:44,880 --> 00:02:48,240 Speaker 4: Really the takeaways were just how forthfore they were on 54 00:02:48,280 --> 00:02:53,360 Speaker 4: the credit card rate cap issue, just reminding everybody that 55 00:02:54,080 --> 00:02:56,720 Speaker 4: this is not just the JP Morgan and banks issue. 56 00:02:56,760 --> 00:02:58,239 Speaker 5: This is going to have. 57 00:02:58,200 --> 00:03:03,799 Speaker 4: Really big repercussions for economic activity in the United States 58 00:03:03,800 --> 00:03:08,760 Speaker 4: and really will hurt some of the less advantage consumers 59 00:03:08,840 --> 00:03:14,000 Speaker 4: that I think really this this ratecap would intend to help. 60 00:03:14,840 --> 00:03:17,880 Speaker 4: And then the second one is really just they double 61 00:03:17,960 --> 00:03:21,560 Speaker 4: down on the expense outlook, which surprised some folks when 62 00:03:21,600 --> 00:03:25,800 Speaker 4: they unveiled that late last year. So nine billion dollars 63 00:03:25,840 --> 00:03:30,520 Speaker 4: in higher expenses really driven by gross inflation, healthcare costs, etc. 64 00:03:31,120 --> 00:03:33,880 Speaker 3: I want to go back to the President's effort to 65 00:03:34,000 --> 00:03:37,040 Speaker 3: cap credit card interest rates, because from what I understand, 66 00:03:37,720 --> 00:03:40,119 Speaker 3: it's not something that he has the authority to do. 67 00:03:40,320 --> 00:03:42,920 Speaker 3: This is something that Congress has to pass. Yet he's 68 00:03:42,960 --> 00:03:46,120 Speaker 3: talking about this January twentieth deadline. How does that work? 69 00:03:46,160 --> 00:03:48,400 Speaker 3: I mean, he's calling for it, but calling for it 70 00:03:48,440 --> 00:03:49,680 Speaker 3: doesn't mean that he can do it. 71 00:03:49,800 --> 00:03:52,320 Speaker 4: Right, So a lot of it seems to be posturing 72 00:03:52,400 --> 00:03:57,360 Speaker 4: at this point of just pushing himself to address some 73 00:03:57,400 --> 00:04:02,080 Speaker 4: of the broader affordability issues. Is heading into midterm elections, 74 00:04:02,320 --> 00:04:03,160 Speaker 4: is how I view it. 75 00:04:03,560 --> 00:04:06,200 Speaker 3: So why don't the banks point that out or not 76 00:04:06,840 --> 00:04:08,480 Speaker 3: point that part out, but call them ount on the 77 00:04:08,480 --> 00:04:10,400 Speaker 3: fact that this would take an act of Congress to 78 00:04:10,440 --> 00:04:11,640 Speaker 3: do anything about it, right. 79 00:04:11,560 --> 00:04:12,560 Speaker 5: Well, they're not. 80 00:04:13,480 --> 00:04:17,880 Speaker 4: There was a question posed during the earnings call if 81 00:04:17,920 --> 00:04:20,719 Speaker 4: somebody from the administration had reached out the JP Morgan, 82 00:04:21,520 --> 00:04:25,240 Speaker 4: and they said that, as far as they know, nobody has, 83 00:04:25,640 --> 00:04:28,760 Speaker 4: so a lot of it seems to be just tweeting 84 00:04:28,800 --> 00:04:32,240 Speaker 4: by edicts at this point. So we'll see if that 85 00:04:32,520 --> 00:04:36,440 Speaker 4: shakes out to be something else more definitive. But we 86 00:04:36,440 --> 00:04:38,839 Speaker 4: would expect the banks to push back and really wait 87 00:04:38,920 --> 00:04:43,720 Speaker 4: for any congressional legislation to come in to really cap 88 00:04:43,760 --> 00:04:44,240 Speaker 4: the rates. 89 00:04:44,760 --> 00:04:48,720 Speaker 6: Herman, this slowed down and investment banking revenue down five 90 00:04:48,760 --> 00:04:50,960 Speaker 6: percent from a year earlier. Do you expect that to 91 00:04:51,000 --> 00:04:54,160 Speaker 6: pick up later this year given the expectation for more 92 00:04:54,200 --> 00:04:54,719 Speaker 6: deal making. 93 00:04:54,960 --> 00:04:55,719 Speaker 5: Yeah, that's right. 94 00:04:56,120 --> 00:04:57,920 Speaker 4: The fourth quarter seems to be more of a blip 95 00:04:58,120 --> 00:05:02,240 Speaker 4: to us fourth quarter. We're investment making usually is seasonally 96 00:05:02,279 --> 00:05:07,240 Speaker 4: soft given the holiday season. It sounds like from their 97 00:05:07,240 --> 00:05:09,240 Speaker 4: comments that a few deals were pushed out into the 98 00:05:09,279 --> 00:05:12,440 Speaker 4: first quarter, So these deals didn't. 99 00:05:12,120 --> 00:05:13,799 Speaker 5: Go away, they were just delayed. 100 00:05:14,680 --> 00:05:18,080 Speaker 4: And looking ahead into twenty twenty six, we see robust 101 00:05:18,120 --> 00:05:21,719 Speaker 4: activity investment banking. You can just think about the IPO 102 00:05:21,839 --> 00:05:25,919 Speaker 4: calendar that that's really firming up. And then for M 103 00:05:25,920 --> 00:05:29,839 Speaker 4: and A activity, we think lower rates will help. This 104 00:05:30,080 --> 00:05:36,160 Speaker 4: deregulation effort by the administration is helping increase consolidation not 105 00:05:36,240 --> 00:05:39,080 Speaker 4: only in banks but in other industries as well. And 106 00:05:39,120 --> 00:05:42,520 Speaker 4: then we've seen a sponsor activity of private agreeplayers really 107 00:05:42,600 --> 00:05:46,839 Speaker 4: jump back in. So those are really strong factors for 108 00:05:46,960 --> 00:05:49,200 Speaker 4: improving investment banking activity next year. 109 00:05:49,480 --> 00:05:51,320 Speaker 3: So, Herman, how does this set us up for the 110 00:05:51,360 --> 00:05:53,680 Speaker 3: other big bank earnings which we'll be reporting over the. 111 00:05:53,640 --> 00:05:54,400 Speaker 2: Next day or two. 112 00:05:54,480 --> 00:05:57,800 Speaker 3: How are you seeing how is this changing expectations for say, 113 00:05:57,920 --> 00:05:59,920 Speaker 3: City Bank of America Goldman Sacks Morgans. 114 00:06:00,440 --> 00:06:03,400 Speaker 4: That's right, So JP Morgan really set a high bar 115 00:06:03,480 --> 00:06:08,120 Speaker 4: for markets and trading, so about seventeen percent year over year. 116 00:06:08,520 --> 00:06:10,719 Speaker 5: That's gonna be tough for others to meet. 117 00:06:10,800 --> 00:06:15,160 Speaker 4: But that's where the bogie is at this point in 118 00:06:15,240 --> 00:06:18,159 Speaker 4: terms of investment banking, we probably expect some others to 119 00:06:18,200 --> 00:06:20,360 Speaker 4: do a bit better than the year over year decline 120 00:06:20,400 --> 00:06:21,200 Speaker 4: for JP Morgan. 121 00:06:21,320 --> 00:06:22,880 Speaker 5: So more to come on that front. 122 00:06:24,040 --> 00:06:26,880 Speaker 2: Stay with us. More from Bloomberg Intelligence coming up after this. 123 00:06:30,560 --> 00:06:34,240 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 124 00:06:34,320 --> 00:06:37,400 Speaker 1: weekdays at ten am Eastern on Apple, Coarplay and Android 125 00:06:37,440 --> 00:06:40,720 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 126 00:06:40,800 --> 00:06:43,920 Speaker 1: you get your podcasts, or watch us live on YouTube. 127 00:06:45,120 --> 00:06:47,640 Speaker 3: Let's shift gears and talk about big tech because the 128 00:06:47,680 --> 00:06:52,400 Speaker 3: news this week is that Apple is partnering up with 129 00:06:53,040 --> 00:06:57,440 Speaker 3: Google Alphabet, the parent company, to power the iPhone's AI 130 00:06:57,480 --> 00:07:01,520 Speaker 3: technology using Gemini. Gemini, of course, has become kind of 131 00:07:01,560 --> 00:07:04,560 Speaker 3: the you know, the software that everyone's looking at right 132 00:07:04,600 --> 00:07:07,320 Speaker 3: now is a big winner in the whole AI battle. 133 00:07:07,520 --> 00:07:10,320 Speaker 3: So let's bring in on rog Rana, our Bloomberg Intelligence 134 00:07:10,400 --> 00:07:14,360 Speaker 3: technology analyst on this and onnrag. You know, people are 135 00:07:14,360 --> 00:07:20,840 Speaker 3: already crowning Google as a winner here in the AI battleground, 136 00:07:21,240 --> 00:07:24,840 Speaker 3: and it definitely looks like Gemini is picking up momentum, 137 00:07:24,840 --> 00:07:29,280 Speaker 3: picking up market share. What specific advantages does Google bring 138 00:07:29,400 --> 00:07:32,440 Speaker 3: with the Gemini to Apple, So you. 139 00:07:32,480 --> 00:07:34,840 Speaker 7: Know, we'll give first of all credit to Mark German 140 00:07:34,920 --> 00:07:37,600 Speaker 7: from breaking this back in November when he said, you know, 141 00:07:37,680 --> 00:07:40,720 Speaker 7: Google will work closely with Apple or on this model. 142 00:07:41,000 --> 00:07:44,640 Speaker 7: Now we go back in history. You know, Apple doesn't 143 00:07:44,680 --> 00:07:48,320 Speaker 7: have that big of their own foundational model on which 144 00:07:48,400 --> 00:07:51,480 Speaker 7: it's running or it's supposed to run some of these technologies. 145 00:07:51,800 --> 00:07:54,080 Speaker 7: But Apple and Google go back long way. They have 146 00:07:54,120 --> 00:07:58,760 Speaker 7: a very very good agreement on search, which pays Apple 147 00:07:58,960 --> 00:08:02,000 Speaker 7: billions of dollars. So you know, there was some legal 148 00:08:02,040 --> 00:08:05,240 Speaker 7: issue around it. So we always knew that once that 149 00:08:05,320 --> 00:08:08,320 Speaker 7: legal issue goes away, Apple may be working closely with 150 00:08:08,360 --> 00:08:12,560 Speaker 7: Google to basically outsource a lot of their foundational models 151 00:08:12,600 --> 00:08:15,640 Speaker 7: into the technology that they have. They have. Now it's 152 00:08:15,720 --> 00:08:18,600 Speaker 7: possible that the next CD upgrade, which is most likely 153 00:08:18,640 --> 00:08:22,120 Speaker 7: going to be in the March April timeframe, could be 154 00:08:22,160 --> 00:08:24,440 Speaker 7: that one big moment that we are all looking for 155 00:08:24,480 --> 00:08:26,880 Speaker 7: Apple to finally come out and say that okay, you know, 156 00:08:26,920 --> 00:08:29,360 Speaker 7: we are not a laggard in AI, that they also 157 00:08:29,400 --> 00:08:30,640 Speaker 7: have a product that's pretty good. 158 00:08:31,680 --> 00:08:34,880 Speaker 6: Ana rag I saw a tweet actually from the official 159 00:08:34,920 --> 00:08:38,480 Speaker 6: Google account announcing this deal, and Elon Musk replied. He 160 00:08:38,600 --> 00:08:42,439 Speaker 6: said that this seems like an unreasonable concentration of power. 161 00:08:42,600 --> 00:08:46,960 Speaker 6: For Google obviously has a vested interest here, given you know, 162 00:08:47,040 --> 00:08:50,400 Speaker 6: his participation in xai. But does he have a point. 163 00:08:50,440 --> 00:08:52,720 Speaker 6: What are the regulatory risks around this deal? 164 00:08:53,880 --> 00:08:55,520 Speaker 7: Yeah, I mean he won't have a point if his 165 00:08:55,559 --> 00:08:57,439 Speaker 7: model was being used at that point. So I mean 166 00:08:57,760 --> 00:09:01,360 Speaker 7: everybody's trying to pitch Apple to use that model. But 167 00:09:01,760 --> 00:09:03,760 Speaker 7: you know, at the end of the day, Apple actually, 168 00:09:03,760 --> 00:09:06,040 Speaker 7: for the first time, if you go back a year 169 00:09:06,040 --> 00:09:08,120 Speaker 7: and a half ago, they used open ai. I mean 170 00:09:08,160 --> 00:09:10,000 Speaker 7: you can still use open ai when you go to 171 00:09:10,040 --> 00:09:12,440 Speaker 7: sea and ask a question and it can take you 172 00:09:12,520 --> 00:09:14,960 Speaker 7: out of there. But for Apple, it has to be 173 00:09:15,040 --> 00:09:20,000 Speaker 7: integrated within the iOS, within the software, but they won't 174 00:09:20,040 --> 00:09:23,319 Speaker 7: do it to an outside vendor where they don't control 175 00:09:23,559 --> 00:09:26,400 Speaker 7: the data. So what Apple's going to do here, They're 176 00:09:26,400 --> 00:09:28,880 Speaker 7: going to use the foundational models from Google, but they're 177 00:09:28,880 --> 00:09:30,559 Speaker 7: going to run a lot of that either on the 178 00:09:30,640 --> 00:09:33,920 Speaker 7: device or their own private, private cloud data centers, which 179 00:09:33,960 --> 00:09:37,280 Speaker 7: means they will still protect the privacy of that question 180 00:09:37,960 --> 00:09:41,280 Speaker 7: and not let it have access to other players as well. 181 00:09:41,559 --> 00:09:43,560 Speaker 2: Yeah, the privacy angle is really big for Apple. 182 00:09:43,600 --> 00:09:46,080 Speaker 3: It's kind of its mark of distinction here among the 183 00:09:46,080 --> 00:09:50,240 Speaker 3: big tech players. ANRAG Apple has seen this exodus of 184 00:09:50,400 --> 00:09:53,880 Speaker 3: talent AI talent going to other big tech companies in 185 00:09:53,960 --> 00:09:58,640 Speaker 3: recent months. Does this multi year deal with alphabet with 186 00:09:58,720 --> 00:10:01,560 Speaker 3: Google change any of the Does that stanch the bleeding 187 00:10:01,679 --> 00:10:02,000 Speaker 3: at all? 188 00:10:02,960 --> 00:10:06,000 Speaker 7: Yeah? For me, it does only because I am now 189 00:10:06,040 --> 00:10:09,000 Speaker 7: buying the model outright from somebody who's doing all the 190 00:10:09,000 --> 00:10:12,160 Speaker 7: hard work. So I'm not in the business of model development. 191 00:10:12,400 --> 00:10:14,480 Speaker 7: If I can use the best model that's out there 192 00:10:14,520 --> 00:10:16,880 Speaker 7: into my product and I pay them some money, and 193 00:10:16,920 --> 00:10:20,320 Speaker 7: the humor amount is about a billion dollars a year, 194 00:10:20,480 --> 00:10:23,040 Speaker 7: which is, to be honest, nothing compared to how many 195 00:10:23,040 --> 00:10:26,000 Speaker 7: billions these companies are spending to come up with their 196 00:10:26,000 --> 00:10:28,960 Speaker 7: own large language model. And that's what actually Apple said 197 00:10:29,000 --> 00:10:31,080 Speaker 7: in the search case and says, I'm not in the 198 00:10:31,080 --> 00:10:33,680 Speaker 7: search business. If Google has the best search I will 199 00:10:33,679 --> 00:10:36,760 Speaker 7: outsource that technology into my products from them. 200 00:10:37,200 --> 00:10:40,120 Speaker 2: Stay with us. More from Bloomberg Intelligence coming up after this. 201 00:10:43,880 --> 00:10:47,560 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 202 00:10:47,640 --> 00:10:50,760 Speaker 1: weekdays at ten am Eastern on Apple Coarclay, and Android 203 00:10:50,760 --> 00:10:54,040 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 204 00:10:54,120 --> 00:10:57,640 Speaker 1: you get your podcasts, or watch us live on YouTube. 205 00:10:58,280 --> 00:11:01,840 Speaker 3: Scarlettfu and Alex Samanova for Paul Sweeney. I'm kind of 206 00:11:01,920 --> 00:11:04,360 Speaker 3: tired of shopping. I've done so much of it in 207 00:11:04,400 --> 00:11:06,360 Speaker 3: the past month or so, overwhelmed. 208 00:11:06,880 --> 00:11:08,840 Speaker 5: I don't believe that for a second. 209 00:11:09,920 --> 00:11:10,880 Speaker 2: I'm not into it. 210 00:11:10,880 --> 00:11:13,679 Speaker 6: It's allowing to walk into a store these days. 211 00:11:13,960 --> 00:11:16,080 Speaker 2: Yeah, price plants are way too high. 212 00:11:16,120 --> 00:11:18,000 Speaker 3: And then also I'm just tired of it because I 213 00:11:18,040 --> 00:11:19,959 Speaker 3: did so much of it in the last couple of weeks. 214 00:11:20,000 --> 00:11:23,120 Speaker 3: But maybe technology will help me. Maybe it'll make it easier, 215 00:11:23,160 --> 00:11:25,040 Speaker 3: It'll take some of the friction out. We want to 216 00:11:25,040 --> 00:11:27,839 Speaker 3: bring in Travis Hesse, a CEO of Commerce which is 217 00:11:27,880 --> 00:11:31,400 Speaker 3: treated on the NASAC under the ticker CMRC. Travis are 218 00:11:31,440 --> 00:11:33,440 Speaker 3: going to tell us how AI is changing shopping, but 219 00:11:33,800 --> 00:11:37,199 Speaker 3: in particular, this has to do with what Google has 220 00:11:37,240 --> 00:11:40,319 Speaker 3: been doing with this thing called a universal Commerce protocol. 221 00:11:41,120 --> 00:11:45,720 Speaker 3: Explain how that will make my shopping needs easier. 222 00:11:46,000 --> 00:11:49,440 Speaker 8: Well, given the extent of which Google plays in all 223 00:11:49,440 --> 00:11:52,319 Speaker 8: of our lives and how people think of them, it's 224 00:11:52,400 --> 00:11:56,040 Speaker 8: essentially setting the foundation and the standard for brands and 225 00:11:56,080 --> 00:11:59,400 Speaker 8: retailers and other organizations to be able to scale agentic 226 00:11:59,440 --> 00:12:03,320 Speaker 8: commerce across all of the surfaces that Google AI would hit. 227 00:12:03,400 --> 00:12:07,160 Speaker 8: So think of the contextualized conversations everyone's having through answer 228 00:12:07,160 --> 00:12:11,640 Speaker 8: engines today. Those conversations are then dynamically recommending not only 229 00:12:11,679 --> 00:12:15,080 Speaker 8: experiences in facts, but certainly shopping and brands based on 230 00:12:15,200 --> 00:12:18,120 Speaker 8: the enrichment of data against those surfaces. And Google is 231 00:12:18,200 --> 00:12:21,240 Speaker 8: enabling a standard by which consumers would be able to 232 00:12:21,240 --> 00:12:25,400 Speaker 8: buy in a standardized, safe, secure way. As it serves 233 00:12:25,520 --> 00:12:29,120 Speaker 8: up discovery, you'll be able to buy seamlessly across those surfaces. 234 00:12:28,920 --> 00:12:31,480 Speaker 6: Travis, can you walk us through how AI will change 235 00:12:31,520 --> 00:12:34,880 Speaker 6: the shopping experience in practical terms, Let's say I'm looking 236 00:12:34,920 --> 00:12:37,479 Speaker 6: for a bag? How do I go about using your platform? 237 00:12:37,760 --> 00:12:40,760 Speaker 8: The consumer behavior has changed more than anything. So the 238 00:12:40,800 --> 00:12:43,800 Speaker 8: amount of eyeballs and behavior going to the answer engines 239 00:12:43,840 --> 00:12:47,120 Speaker 8: is probably the fastest adopting technology we've seen. So because 240 00:12:47,200 --> 00:12:49,800 Speaker 8: the consumers are going there and they're having these conversations, 241 00:12:50,480 --> 00:12:52,880 Speaker 8: brands and retailers are having to respond in kind, and 242 00:12:53,160 --> 00:12:55,280 Speaker 8: they tend to have a fair amount of brand ethos, 243 00:12:55,800 --> 00:12:57,960 Speaker 8: so they're very concerned about where they show up, how 244 00:12:57,960 --> 00:12:59,280 Speaker 8: they show up, and who they show up next to. 245 00:13:00,240 --> 00:13:01,720 Speaker 8: Is it the cornerstone of this, So a lot of 246 00:13:01,720 --> 00:13:04,080 Speaker 8: the foundational stuff you're hearing about now is to set 247 00:13:04,160 --> 00:13:05,960 Speaker 8: up that trust. So when you're shopping for that bag, 248 00:13:06,480 --> 00:13:09,560 Speaker 8: it's giving you a response that you can objectively trust. 249 00:13:09,600 --> 00:13:12,240 Speaker 8: It's not serving up who paid the most to be 250 00:13:12,320 --> 00:13:15,080 Speaker 8: listed or injected in that conversation. The thesis behind this 251 00:13:15,559 --> 00:13:19,000 Speaker 8: is based on your own behavior within those answer engines, 252 00:13:19,040 --> 00:13:21,959 Speaker 8: and of course other behavior within Google, whether that's through 253 00:13:22,000 --> 00:13:24,680 Speaker 8: Chrome or through other Google products. They have a unique 254 00:13:24,720 --> 00:13:28,000 Speaker 8: advantage there because of the amount of surfaces an individual 255 00:13:28,160 --> 00:13:32,040 Speaker 8: might use to synthesize that in a hyper personalized way. 256 00:13:32,080 --> 00:13:34,400 Speaker 8: So think of it as not only shopping either, but 257 00:13:34,400 --> 00:13:36,760 Speaker 8: think of it going in your favorite store and someone 258 00:13:36,800 --> 00:13:39,199 Speaker 8: as you walk in can scan a code and immediately 259 00:13:39,200 --> 00:13:41,720 Speaker 8: knows what you own, what you like, where you're going, 260 00:13:41,760 --> 00:13:43,840 Speaker 8: what you're looking for, so they could curate something for 261 00:13:43,880 --> 00:13:47,360 Speaker 8: you immediately, where that friction is removed through the process. 262 00:13:47,480 --> 00:13:50,120 Speaker 8: Think of that virtually in this particular capacity. That's the 263 00:13:50,120 --> 00:13:50,640 Speaker 8: future state. 264 00:13:50,840 --> 00:13:54,160 Speaker 3: So all the information that Google has on me, they 265 00:13:54,160 --> 00:13:56,040 Speaker 3: are also selling. Who are they selling it to? 266 00:13:56,200 --> 00:13:57,199 Speaker 8: Oh that's not from me? 267 00:14:00,280 --> 00:14:02,160 Speaker 3: I mean the reason I ask is because it depends 268 00:14:02,200 --> 00:14:04,440 Speaker 3: on me logging into Google for them to give me 269 00:14:04,440 --> 00:14:07,520 Speaker 3: those personalized recommendations. If I don't choose to log in, 270 00:14:07,600 --> 00:14:09,520 Speaker 3: then I end up with the equivalent of a Google 271 00:14:09,559 --> 00:14:10,800 Speaker 3: search on a public computer. 272 00:14:11,040 --> 00:14:11,319 Speaker 7: You do. 273 00:14:11,400 --> 00:14:13,920 Speaker 8: I think the models are changing. Certainly the old model 274 00:14:14,080 --> 00:14:17,800 Speaker 8: was you're searching for terms, and certainly organizations are optimizing 275 00:14:18,200 --> 00:14:20,560 Speaker 8: through SEO to be listed organically at the top, or 276 00:14:20,600 --> 00:14:24,280 Speaker 8: they're through paid search basted. That still exists today, certainly 277 00:14:24,280 --> 00:14:26,120 Speaker 8: in this behavior that drives that. But where this is 278 00:14:26,160 --> 00:14:30,160 Speaker 8: evolving to is called GEO, so generative optimization, which is 279 00:14:30,200 --> 00:14:33,160 Speaker 8: really going to be a combination of structured data, which 280 00:14:33,200 --> 00:14:36,160 Speaker 8: is like product catalog data, skew, color size, all those 281 00:14:36,240 --> 00:14:41,080 Speaker 8: dynamics dimensions coupled with unstructured data, which are brand guidelines, 282 00:14:41,440 --> 00:14:45,560 Speaker 8: call center, transcripts, blogs, articles, all the things that would 283 00:14:45,600 --> 00:14:49,760 Speaker 8: contextualize that brand and that product, if you will. That's 284 00:14:49,800 --> 00:14:52,720 Speaker 8: being enriched oftentimes by us on the fetonomic side, which 285 00:14:52,760 --> 00:14:55,520 Speaker 8: is part of our portfolio, and then syndicated across these 286 00:14:55,520 --> 00:14:59,600 Speaker 8: different surfaces, be that Google or Open AI or Microsoft 287 00:15:00,080 --> 00:15:02,400 Speaker 8: or whomever. And it's going to continue to expand as 288 00:15:02,440 --> 00:15:04,240 Speaker 8: the channels have expanded over the last several years. 289 00:15:04,440 --> 00:15:08,680 Speaker 6: Travis, we have the National Retail Federation conference underway. Believe 290 00:15:08,680 --> 00:15:11,200 Speaker 6: today's the last day what kind of AI trends and 291 00:15:11,240 --> 00:15:13,520 Speaker 6: retail trends. Have you been monitoring out of it? 292 00:15:13,520 --> 00:15:17,880 Speaker 8: It's all about AI this year. That's what's hot exactly 293 00:15:17,920 --> 00:15:20,280 Speaker 8: this right. I think there's two sides of the spectrum. 294 00:15:20,320 --> 00:15:22,520 Speaker 8: There's a lot of buzz, which is exciting, but at 295 00:15:22,560 --> 00:15:24,720 Speaker 8: the same time, it's confusing a lot of people because 296 00:15:25,040 --> 00:15:27,760 Speaker 8: everyone is doing everything and it's hard to kind of 297 00:15:27,760 --> 00:15:31,320 Speaker 8: reconcile what's meaningful to the business. I think for larger 298 00:15:31,400 --> 00:15:35,360 Speaker 8: organizations that we work with, brand manufacturers and retailers, trust, 299 00:15:35,480 --> 00:15:38,720 Speaker 8: brand ethos, and security are top of mind. So for them, 300 00:15:39,040 --> 00:15:41,280 Speaker 8: it's less about the sizzle, it's more about the stake 301 00:15:41,400 --> 00:15:43,600 Speaker 8: and the foundational elements. I think the importance of the 302 00:15:43,640 --> 00:15:46,920 Speaker 8: Google announcement is they are taking a very pragmatic approach 303 00:15:46,960 --> 00:15:49,560 Speaker 8: to this, to lay the tracks so this can scale 304 00:15:49,600 --> 00:15:53,360 Speaker 8: and scale properly with trust, with security, and most importantly 305 00:15:53,400 --> 00:15:56,480 Speaker 8: with a frictionless experience for customers. Because the brands don't 306 00:15:56,520 --> 00:15:58,280 Speaker 8: want to lose that customer data. They still want to 307 00:15:58,320 --> 00:16:01,760 Speaker 8: maintain that experience. Even though they're not fully controlling the 308 00:16:01,800 --> 00:16:04,080 Speaker 8: surface by which they're showing up against. It's not like 309 00:16:04,120 --> 00:16:06,960 Speaker 8: they're showing up against their own websites, so they're in 310 00:16:07,000 --> 00:16:09,520 Speaker 8: a surface they don't completely control. They're controlling part of 311 00:16:09,560 --> 00:16:12,320 Speaker 8: it through the data enrichment in syndication, but they're not 312 00:16:12,320 --> 00:16:16,360 Speaker 8: controlling all of it. So they're very, very concerned that 313 00:16:16,360 --> 00:16:18,520 Speaker 8: that experience is a positive one and a frictionalist one. 314 00:16:18,560 --> 00:16:21,560 Speaker 8: Otherwise it has ramifications. It drives cost up and call centers, 315 00:16:21,560 --> 00:16:25,280 Speaker 8: it drives maybe negative customer experience, it drives arts exactly 316 00:16:25,360 --> 00:16:27,720 Speaker 8: we're in turns bad things on the back end. So 317 00:16:27,760 --> 00:16:30,480 Speaker 8: that's the reconciliation people are trying to have. But yes, 318 00:16:30,760 --> 00:16:33,440 Speaker 8: the EI has sucked all the oxygen out of the 319 00:16:33,480 --> 00:16:34,760 Speaker 8: room at Javits. And it's a big rule. 320 00:16:35,120 --> 00:16:37,840 Speaker 2: What will AI not change for shoppers? 321 00:16:40,280 --> 00:16:44,840 Speaker 8: But will it not change for shoppers? I think the 322 00:16:44,920 --> 00:16:48,040 Speaker 8: behavior in the surfaces by which they're going to they're 323 00:16:48,080 --> 00:16:50,160 Speaker 8: still going to go to. Right. I think new ones 324 00:16:50,200 --> 00:16:54,320 Speaker 8: are showing up. I think the expectation personalization has been 325 00:16:54,360 --> 00:16:58,040 Speaker 8: promised for a long time. I think there's some hesitancy 326 00:16:58,080 --> 00:17:01,000 Speaker 8: there around the trust. So I think forcoming the trust 327 00:17:01,080 --> 00:17:04,640 Speaker 8: aspect of this and having that reinforced through continued behavior. 328 00:17:04,680 --> 00:17:06,480 Speaker 8: The shopping is very new. There was a big rush 329 00:17:06,480 --> 00:17:09,760 Speaker 8: to do this in holiday and the experiences weren't great, 330 00:17:10,200 --> 00:17:11,960 Speaker 8: so I think there's a little bit of hesitation. I 331 00:17:11,960 --> 00:17:14,600 Speaker 8: think you'll see a much more robust offering this holiday season. 332 00:17:15,480 --> 00:17:18,400 Speaker 3: Stay with us. More from Bloomberg Intelligence coming up after this. 333 00:17:22,119 --> 00:17:25,840 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us Live 334 00:17:25,920 --> 00:17:29,000 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 335 00:17:29,040 --> 00:17:32,320 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 336 00:17:32,400 --> 00:17:35,480 Speaker 1: you get your podcasts, or watch us live on YouTube. 337 00:17:36,720 --> 00:17:39,720 Speaker 3: Delta is the first airline to report earnings as well, 338 00:17:39,760 --> 00:17:44,560 Speaker 3: and according to the stock market reaction investors not to impress. 339 00:17:44,840 --> 00:17:47,240 Speaker 3: The shares of Delta are down about two point eight 340 00:17:47,240 --> 00:17:50,000 Speaker 3: percent after it's full year forecast came a little bit 341 00:17:50,080 --> 00:17:53,160 Speaker 3: lighter than anticipated. Let's bring in George Ferguson right now. 342 00:17:53,200 --> 00:17:56,359 Speaker 3: He is our senior Aerospace, Defense and Airlines analyst, joining 343 00:17:56,400 --> 00:18:00,639 Speaker 3: us from Princeton, New Jersey. George, you know, at the 344 00:18:00,640 --> 00:18:05,440 Speaker 3: start of twenty twenty five, Delta sounded very optimistic about demand, 345 00:18:05,640 --> 00:18:09,359 Speaker 3: about what pricing looked like, and the forecast that it 346 00:18:09,440 --> 00:18:11,840 Speaker 3: gave today kind of stands in contrast to that. 347 00:18:13,400 --> 00:18:16,240 Speaker 9: Yeah, I mean, at Bashlom, I think it was a 348 00:18:16,240 --> 00:18:18,639 Speaker 9: little reticent to get too deep into what he sees 349 00:18:19,400 --> 00:18:21,400 Speaker 9: happening in twenty twenty six. He said, you know, there'll 350 00:18:21,400 --> 00:18:25,920 Speaker 9: be surprises much like they received in twenty twenty five. 351 00:18:26,560 --> 00:18:27,520 Speaker 5: And you know, I just. 352 00:18:27,480 --> 00:18:31,840 Speaker 9: Think as people look at the results, you know, really 353 00:18:31,920 --> 00:18:34,760 Speaker 9: what we saw here from Delta was a continuation of 354 00:18:35,359 --> 00:18:39,240 Speaker 9: the you know, the premium and the loyalty revenue are 355 00:18:39,680 --> 00:18:42,640 Speaker 9: rolling in strongly, rolling in I think sort of five 356 00:18:42,680 --> 00:18:45,840 Speaker 9: to seven percent if I recall correctly, you know above 357 00:18:45,880 --> 00:18:50,399 Speaker 9: sort of GDP growth rates. But the back of the airplane, 358 00:18:50,480 --> 00:18:52,919 Speaker 9: you know, they call it the main cabin or basic 359 00:18:53,000 --> 00:18:56,359 Speaker 9: economy that's there was that revenue was down seven percent 360 00:18:56,400 --> 00:18:59,240 Speaker 9: in a quarter where Delta was growing a couple percent. 361 00:18:59,359 --> 00:19:02,800 Speaker 9: And so now I think we still see this premium trend, 362 00:19:03,240 --> 00:19:04,639 Speaker 9: and I think we're going to see a lot of 363 00:19:04,680 --> 00:19:09,280 Speaker 9: growth in premium seats this year. We've got Southwest converting 364 00:19:09,320 --> 00:19:12,679 Speaker 9: to to more of a full service carriers premium, Delta 365 00:19:12,720 --> 00:19:16,440 Speaker 9: plans to go premium, United plans to go premium. Alaska, 366 00:19:16,560 --> 00:19:19,439 Speaker 9: Jet Blue, everyone wants to go premium. So I think 367 00:19:19,480 --> 00:19:23,760 Speaker 9: there's probably some concern in the marketplace that maybe premium 368 00:19:23,840 --> 00:19:28,200 Speaker 9: gets crowded and pushes closer to that main cabin kind 369 00:19:28,200 --> 00:19:31,800 Speaker 9: of kind of fair rather than main cabin coming up. 370 00:19:32,320 --> 00:19:34,199 Speaker 2: Maybe too much supply, we'll see. 371 00:19:34,280 --> 00:19:37,600 Speaker 3: By the way, at Bastian, the CEO of Delta Airlines, 372 00:19:37,600 --> 00:19:41,919 Speaker 3: we'll be joining Bloomberg Television surveillance on Wednesday, that is tomorrow, 373 00:19:42,000 --> 00:19:44,080 Speaker 3: of course, at eight fifteen am Eastern Time, for a 374 00:19:44,080 --> 00:19:46,680 Speaker 3: live interview from Delta's headquarters in Atlanta. 375 00:19:47,160 --> 00:19:49,400 Speaker 6: And something that stood out to me Scarlett was that 376 00:19:49,560 --> 00:19:52,760 Speaker 6: Delta said they're bracing for risk to their forecast, noting 377 00:19:52,920 --> 00:19:57,919 Speaker 6: the geopolitical environment, whether it's international or domestic policy. George, 378 00:19:57,960 --> 00:20:00,679 Speaker 6: is this unusual for them to issue the kind of warning. 379 00:20:02,200 --> 00:20:03,639 Speaker 9: I mean again, I think we're at the beginning of 380 00:20:03,640 --> 00:20:07,720 Speaker 9: the year and management teams like the caveat things right, 381 00:20:07,760 --> 00:20:11,000 Speaker 9: and so I guess what I would say is we 382 00:20:11,040 --> 00:20:15,080 Speaker 9: had plenty of geopolitical challenges in twenty twenty five. You know, 383 00:20:15,119 --> 00:20:19,760 Speaker 9: we were watching transatlantic demand closely because you've got a 384 00:20:19,760 --> 00:20:21,800 Speaker 9: war raging in Ukraine. It's been doing that for a 385 00:20:21,800 --> 00:20:26,320 Speaker 9: bunch of years now. Didn't seem to slow down that demand. 386 00:20:26,359 --> 00:20:29,320 Speaker 9: That demand seemed to do okay some days. I wonder 387 00:20:29,320 --> 00:20:32,200 Speaker 9: if maybe there's more risk domestically right. One of the 388 00:20:32,240 --> 00:20:35,320 Speaker 9: other things we're watching is the president wants to cap 389 00:20:35,359 --> 00:20:37,639 Speaker 9: interest rates for the credit card companies at ten percent. 390 00:20:38,160 --> 00:20:40,840 Speaker 9: Loyalty through the MX program brings a lot of money 391 00:20:40,880 --> 00:20:46,320 Speaker 9: in for Delta, definitely a source of their competitive advantage. 392 00:20:46,560 --> 00:20:48,800 Speaker 9: And I think if you're capping interest rates, I think 393 00:20:49,160 --> 00:20:51,280 Speaker 9: some of those credit card programs have to change and 394 00:20:51,320 --> 00:20:53,920 Speaker 9: that would hurt some of those loyalty programs. So there's 395 00:20:54,040 --> 00:20:56,120 Speaker 9: I mean, there's risk all over the place all the time. Again, 396 00:20:56,160 --> 00:20:59,320 Speaker 9: the geopolitical didn't seem to hurt demand as much as 397 00:20:59,320 --> 00:21:01,040 Speaker 9: we would expect in twenty twenty five. 398 00:21:01,200 --> 00:21:03,000 Speaker 3: Right, It kind of always threatens to hurt demand, but 399 00:21:03,040 --> 00:21:07,960 Speaker 3: in the end, people still prioritize traveling and paying for traveling. George, 400 00:21:08,080 --> 00:21:10,240 Speaker 3: I'm looking at some headlines coming out on Delta at 401 00:21:10,280 --> 00:21:13,040 Speaker 3: the start of this hour, and one of the comments 402 00:21:13,119 --> 00:21:16,120 Speaker 3: from Delta was that the airline industry could see consolidation 403 00:21:16,720 --> 00:21:21,560 Speaker 3: in twenty twenty six. Which players would that most likely involve. 404 00:21:22,359 --> 00:21:24,440 Speaker 9: Yeah, so we're already starting to see some of that, right. 405 00:21:24,480 --> 00:21:28,520 Speaker 9: We had an announcement the other day that Allegiance and 406 00:21:28,720 --> 00:21:31,720 Speaker 9: Sun Country are going to put themselves together. They're two 407 00:21:31,800 --> 00:21:36,000 Speaker 9: smaller low cost airlines, some of them pretty quickly growing 408 00:21:36,000 --> 00:21:40,240 Speaker 9: there quickly growing, so they'll consolidate. You know, we've heard 409 00:21:40,280 --> 00:21:45,920 Speaker 9: discussion about Frontier potentially buying Spirit Airlines. We still have 410 00:21:45,960 --> 00:21:48,000 Speaker 9: to see, you know, the ultimate outcome for Spirit uring 411 00:21:48,760 --> 00:21:50,880 Speaker 9: Chapter eleven. We're trying to figure out what their structuring 412 00:21:50,920 --> 00:21:53,800 Speaker 9: looks like the second time they've been there. So you 413 00:21:53,840 --> 00:21:58,879 Speaker 9: can see on the edges, especially where in that low 414 00:21:58,960 --> 00:22:04,359 Speaker 9: cost marketplace, you can see consolidation beginning. It takes a 415 00:22:04,400 --> 00:22:08,240 Speaker 9: long time and that's the challenge, but you could see 416 00:22:08,240 --> 00:22:10,639 Speaker 9: some of that consolidation already begin. We don't see the 417 00:22:10,640 --> 00:22:13,919 Speaker 9: big players getting consolidated, but you got to put together. 418 00:22:14,600 --> 00:22:16,480 Speaker 9: I think you're not going to see sort of a 419 00:22:16,600 --> 00:22:20,280 Speaker 9: United to Delta and American Southwest. They're not going to 420 00:22:20,400 --> 00:22:22,560 Speaker 9: We're not going to put any of those together. I 421 00:22:22,600 --> 00:22:24,960 Speaker 9: think that's too much, but I think a lot of 422 00:22:24,960 --> 00:22:26,320 Speaker 9: other stuff is potentially. 423 00:22:25,960 --> 00:22:27,119 Speaker 5: I play George. 424 00:22:27,119 --> 00:22:30,119 Speaker 6: We also got news that Delta is ordering thirty Boeing 425 00:22:30,600 --> 00:22:35,000 Speaker 6: seven eighty seven Dreamliner jets, aiming to boost the company. 426 00:22:35,320 --> 00:22:38,640 Speaker 6: How much do you expect this purchase to impact its 427 00:22:38,640 --> 00:22:39,359 Speaker 6: bottom line? 428 00:22:40,480 --> 00:22:43,639 Speaker 9: Yeah, so they're not going to see these airplanes until 429 00:22:43,680 --> 00:22:46,600 Speaker 9: twenty thirty, so it's a bit of a ways away. 430 00:22:46,880 --> 00:22:51,520 Speaker 9: They're replacing seven six sevens, which are old airplanes. We 431 00:22:51,560 --> 00:22:53,920 Speaker 9: have an average age of them about twenty seven years 432 00:22:54,000 --> 00:22:56,800 Speaker 9: right now. You know the seven eight is going to 433 00:22:56,840 --> 00:22:59,760 Speaker 9: be a lot more efficient. Delta games and numbers the 434 00:23:00,119 --> 00:23:03,720 Speaker 9: fifteen ish plus percent more efficient, so I think that 435 00:23:04,320 --> 00:23:07,440 Speaker 9: really helps the bottom line. Also very interesting to us 436 00:23:07,560 --> 00:23:11,280 Speaker 9: is that Delta is traditionally more of an airbus shop. 437 00:23:11,600 --> 00:23:14,920 Speaker 9: They buy a lot of Airbus product. The recent wide 438 00:23:14,920 --> 00:23:17,760 Speaker 9: bodies they've bought. Our Airbus is a three fifty and 439 00:23:17,840 --> 00:23:21,119 Speaker 9: Airbus is a three thirty. Again, the Boeing wide bodies 440 00:23:21,119 --> 00:23:24,879 Speaker 9: I just told you twenty eight ish years old. Interesting 441 00:23:24,920 --> 00:23:27,159 Speaker 9: to see them come in for the seven eighty seven. 442 00:23:27,720 --> 00:23:30,880 Speaker 9: That's really I think, been a category leader in that 443 00:23:30,960 --> 00:23:35,080 Speaker 9: small narrow body world. Boeing has over one thousand orders 444 00:23:35,080 --> 00:23:38,400 Speaker 9: for that airplane. We see rates continue to rise, which 445 00:23:38,400 --> 00:23:41,200 Speaker 9: will improve profitability at Boeing as they put more through 446 00:23:41,240 --> 00:23:43,399 Speaker 9: put in that seven eight. I thought it was a 447 00:23:43,480 --> 00:23:46,080 Speaker 9: bit of an endorsement for seven eight, even though Delta 448 00:23:46,119 --> 00:23:47,280 Speaker 9: is not going to say that. Probably. 449 00:23:47,480 --> 00:23:50,639 Speaker 3: Yeah, George, you mentioned that Delta is traditionally an airbus carrier. 450 00:23:51,240 --> 00:23:52,600 Speaker 2: Do you think we'll see more of that? 451 00:23:52,640 --> 00:23:55,560 Speaker 3: These airlines kind of splitting the difference between Boeing and Airbus. 452 00:23:57,280 --> 00:23:59,680 Speaker 9: You know, I think every airline has to be a 453 00:23:59,720 --> 00:24:01,920 Speaker 9: little it that way in order in order to keep 454 00:24:01,960 --> 00:24:06,520 Speaker 9: the manufacturers competitive. Right, If the manufacturer knows you just 455 00:24:06,560 --> 00:24:08,400 Speaker 9: got to come in for their product all the time, 456 00:24:09,080 --> 00:24:11,439 Speaker 9: I do think that hurts you. But a lot of 457 00:24:11,480 --> 00:24:14,080 Speaker 9: times that we see a lot of airlines have a 458 00:24:14,880 --> 00:24:18,480 Speaker 9: preponderance of a certain type of product. It keeps costs down, 459 00:24:18,520 --> 00:24:21,480 Speaker 9: right because you train your pilots for one type of 460 00:24:21,520 --> 00:24:24,040 Speaker 9: wide body for one type of narrow body, and helps 461 00:24:24,119 --> 00:24:26,920 Speaker 9: you keep your cost down. So there's and your maintenance 462 00:24:26,920 --> 00:24:30,840 Speaker 9: pushes easier. Yeah, fair Parts needs a lighter. 463 00:24:32,040 --> 00:24:36,719 Speaker 1: This is the Bloomberg Intelligence podcast, available on Apple, Spotify, 464 00:24:36,920 --> 00:24:40,400 Speaker 1: and anywhere else you get your podcasts. 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