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 --> 00:00:17,880 Speaker 1: Eastern on Apple Coarclay 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 00:00:24,239 --> 00:00:26,119 Speaker 2: All right, let's switch gears to technology. 7 00:00:26,280 --> 00:00:28,960 Speaker 3: Always, always, always a lot of technology news out there, 8 00:00:29,320 --> 00:00:32,159 Speaker 3: and it's news with really big numbers too, I mean, 9 00:00:32,320 --> 00:00:36,600 Speaker 3: and today's no different. Anthropic has received offers from investors 10 00:00:36,960 --> 00:00:39,200 Speaker 3: for new round of funding that could value the company 11 00:00:39,200 --> 00:00:42,360 Speaker 3: at about eight hundred billion dollars or hire just they 12 00:00:42,440 --> 00:00:43,320 Speaker 3: just the numbers, keep it. 13 00:00:43,360 --> 00:00:45,360 Speaker 2: And this is a private company, yes. 14 00:00:45,440 --> 00:00:48,000 Speaker 3: Yes, And if I'm you know, putting my IPO banker 15 00:00:48,040 --> 00:00:49,479 Speaker 3: hat back on from back in the day, I'd be 16 00:00:49,560 --> 00:00:51,839 Speaker 3: knocking on these doors so hard, saying let's rip this 17 00:00:51,880 --> 00:00:52,800 Speaker 3: thing into public market. 18 00:00:52,800 --> 00:00:53,360 Speaker 4: But we'll see. 19 00:00:53,479 --> 00:00:56,880 Speaker 3: Mandy've Sing joins US global tech research lead for Bloomberg Intelligence. 20 00:00:56,880 --> 00:00:59,120 Speaker 3: He's over in London right now, cracking heads over there, 21 00:00:59,600 --> 00:01:02,440 Speaker 3: a bloom Intelligence over there, whipping them into shape, as 22 00:01:02,440 --> 00:01:04,320 Speaker 3: well as seeing a bunch of clients. See I can 23 00:01:04,360 --> 00:01:06,800 Speaker 3: look at his calendar, I see actually doing a lot 24 00:01:06,800 --> 00:01:08,680 Speaker 3: of real business over there too, so we appreciate that 25 00:01:08,959 --> 00:01:11,319 Speaker 3: generating some revenue hopefully. Man, do you talk to us 26 00:01:11,319 --> 00:01:16,600 Speaker 3: about Anthropic here any surprise here, Well. 27 00:01:16,360 --> 00:01:19,319 Speaker 5: I mean we knew when they released that thirty billion 28 00:01:19,600 --> 00:01:23,520 Speaker 5: ARUR number that you know, the growth rate is phenomenal. 29 00:01:23,680 --> 00:01:28,280 Speaker 5: It's been accelerating driven by the use of their product 30 00:01:28,360 --> 00:01:32,120 Speaker 5: as a coding agent, and they seem to have leaf 31 00:01:32,120 --> 00:01:35,560 Speaker 5: frogged open AI and the other frontier llms when it 32 00:01:35,640 --> 00:01:40,440 Speaker 5: comes to coding agents specifically. So right now everyone is 33 00:01:40,480 --> 00:01:43,800 Speaker 5: lining up to be part of their next funding round. 34 00:01:43,920 --> 00:01:46,760 Speaker 5: And since open aie was valued at eight hundred and 35 00:01:46,800 --> 00:01:52,160 Speaker 5: fifty billion dollars, given you know, Entropic has surpassed open 36 00:01:52,200 --> 00:01:55,640 Speaker 5: ais arar, I'm not surprised that we are talking about 37 00:01:55,920 --> 00:01:58,520 Speaker 5: eight hundred billion dollar range for Entropic in the next 38 00:01:58,520 --> 00:01:59,120 Speaker 5: funding round. 39 00:01:59,560 --> 00:02:02,840 Speaker 6: So the numbers that Paul was mentioning where a new 40 00:02:02,840 --> 00:02:05,200 Speaker 6: funding round that could valuate at eight hundred billion dollars. 41 00:02:05,240 --> 00:02:08,480 Speaker 6: It sounds like Anthropic doesn't actually need the money right now, 42 00:02:08,520 --> 00:02:11,280 Speaker 6: so our investors just throwing money at the company and 43 00:02:11,320 --> 00:02:12,360 Speaker 6: the company saying. 44 00:02:12,240 --> 00:02:14,680 Speaker 2: Nah, no thanks, we're pretty good. We just raised thirty 45 00:02:14,680 --> 00:02:17,400 Speaker 2: billion in February I. 46 00:02:17,360 --> 00:02:20,519 Speaker 5: Would say these companies do need a lot of money 47 00:02:20,600 --> 00:02:25,040 Speaker 5: simply because you know, they keep saying they are compute constrained, 48 00:02:25,280 --> 00:02:28,000 Speaker 5: and look at you know what open ai has been 49 00:02:28,080 --> 00:02:31,720 Speaker 5: doing with regards to you know, all the deals that 50 00:02:31,800 --> 00:02:35,080 Speaker 5: they have signed to get the compute. And look, in 51 00:02:35,120 --> 00:02:38,240 Speaker 5: the case of Hyperscalers, at least they have the free 52 00:02:38,240 --> 00:02:42,160 Speaker 5: cash flow to pay for you know, the capex. In 53 00:02:42,320 --> 00:02:45,520 Speaker 5: the case of Anthropic and open Ai, they don't have 54 00:02:45,600 --> 00:02:50,120 Speaker 5: any free cash flow like the hyperscalers, so they actually 55 00:02:50,360 --> 00:02:53,560 Speaker 5: need the money to pay for all the compute and 56 00:02:53,680 --> 00:02:57,520 Speaker 5: AI infrastructure. And that's where you know, it's great that 57 00:02:57,560 --> 00:03:00,240 Speaker 5: open ai was able to raise one hundred and twenty 58 00:03:00,320 --> 00:03:04,560 Speaker 5: billion before Anthropic surpassed them in terms of err. I 59 00:03:04,600 --> 00:03:07,280 Speaker 5: bet you they'll have a harder time now than they 60 00:03:07,320 --> 00:03:09,919 Speaker 5: had a couple of months back. And right now it's 61 00:03:10,080 --> 00:03:13,480 Speaker 5: Nthropics moment. So the more money they raise, the more 62 00:03:13,520 --> 00:03:17,000 Speaker 5: compute they can lock in. And it is actually good 63 00:03:17,080 --> 00:03:21,959 Speaker 5: that they have the compute to really spend on acquiring 64 00:03:22,000 --> 00:03:24,680 Speaker 5: all the users and make sure they become a sticky product. 65 00:03:26,120 --> 00:03:29,000 Speaker 2: Stay with us. More from Bloomberg Intelligence coming up after this. 66 00:03:32,639 --> 00:03:36,320 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 67 00:03:36,400 --> 00:03:39,520 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 68 00:03:39,520 --> 00:03:42,840 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 69 00:03:42,880 --> 00:03:46,000 Speaker 1: you get your podcasts, or watch us live on YouTube. 70 00:03:46,760 --> 00:03:49,080 Speaker 6: Let's talk about Ramatz because LVMH came out in the 71 00:03:49,080 --> 00:03:51,960 Speaker 6: Reselt yesterday and they seemed kind of encouraging. We thought, Okay, 72 00:03:52,000 --> 00:03:56,200 Speaker 6: the luxury consumer doing well overall, Urmaz maybe not so much. 73 00:03:56,520 --> 00:04:01,600 Speaker 6: Andrea Felsted is our Bloomberg opinion columnist joining us London. Andrea, 74 00:04:01,680 --> 00:04:03,000 Speaker 6: what happened here with Ramez. 75 00:04:04,520 --> 00:04:08,360 Speaker 4: Well, there's been a few worries about Hermez for the 76 00:04:08,440 --> 00:04:12,960 Speaker 4: last sort of few months because there's been this reset 77 00:04:13,040 --> 00:04:15,440 Speaker 4: in the luxury sector where a lot of brands have 78 00:04:15,520 --> 00:04:18,320 Speaker 4: got new creative directors. So it was a bit of 79 00:04:18,400 --> 00:04:22,520 Speaker 4: worry that harmez Witch is very much sticking with its designers. 80 00:04:22,520 --> 00:04:24,440 Speaker 4: We have got a new designer coming, but it's very 81 00:04:24,480 --> 00:04:30,360 Speaker 4: much sticking with it's creative. You know, setup is going 82 00:04:30,400 --> 00:04:34,000 Speaker 4: to get left behind. And what's really focused people's minds 83 00:04:34,120 --> 00:04:37,279 Speaker 4: is Chanelle. There's been this Chanell mania and Chanell was 84 00:04:37,320 --> 00:04:42,240 Speaker 4: one of the brands that was most criticized for raising prices. 85 00:04:42,520 --> 00:04:45,960 Speaker 4: But they've got this new designer, Matthew Blasi. Everyone loves 86 00:04:46,000 --> 00:04:49,240 Speaker 4: his clothes, everyone loves his bags. There have been frenzies 87 00:04:49,320 --> 00:04:52,120 Speaker 4: at Chanel stores, and the worry is that some people 88 00:04:52,520 --> 00:04:55,480 Speaker 4: who would have bought her Mez bag will switch to 89 00:04:55,839 --> 00:04:59,559 Speaker 4: Chanelle in steady. Had that going on anyway, then what's 90 00:04:59,560 --> 00:05:02,159 Speaker 4: happened to day is you've got got that backdrop today 91 00:05:02,600 --> 00:05:06,279 Speaker 4: Hemez has shown that it's not the resilient story that 92 00:05:06,360 --> 00:05:09,960 Speaker 4: everyone expected. Homes has outperformed. There are long weight lists 93 00:05:09,960 --> 00:05:13,840 Speaker 4: for its bags, so when times are tough, it can 94 00:05:13,960 --> 00:05:16,640 Speaker 4: just work its way through the weight list. If someone said, oh, 95 00:05:16,680 --> 00:05:18,560 Speaker 4: you know, I can't afford to borking right now, there'll 96 00:05:18,600 --> 00:05:22,080 Speaker 4: be someone else on the list who can been really resilient. 97 00:05:22,160 --> 00:05:25,800 Speaker 4: But what's happened is is it's been really hurt by 98 00:05:25,839 --> 00:05:28,880 Speaker 4: the Middle East, and not just the Middle East, by tourists. 99 00:05:28,920 --> 00:05:31,560 Speaker 4: And the big revelation was that they said they got 100 00:05:31,600 --> 00:05:35,640 Speaker 4: more than fifty percent of their sales in France from tourists, 101 00:05:36,080 --> 00:05:38,560 Speaker 4: and that was a surprise because the market had always 102 00:05:38,560 --> 00:05:42,360 Speaker 4: thought it was the local customers that were keeping them going, 103 00:05:43,000 --> 00:05:45,920 Speaker 4: and that they have such a big tourist exposed. All 104 00:05:45,960 --> 00:05:50,279 Speaker 4: this is adding up to show that Hermes is not untouchable, 105 00:05:50,760 --> 00:05:53,599 Speaker 4: and that's why the shares have rerated. The shares have 106 00:05:53,720 --> 00:05:57,839 Speaker 4: rerated already. That they're on about thirty six that they're 107 00:05:57,880 --> 00:06:01,479 Speaker 4: thirty three times thirty four times times the next twelve 108 00:06:01,520 --> 00:06:04,599 Speaker 4: months earnings. That sounds like a lot, but its five 109 00:06:04,680 --> 00:06:07,680 Speaker 4: year average is forty eight times. So you can just 110 00:06:07,720 --> 00:06:09,880 Speaker 4: see how much it's been public. And I think there 111 00:06:09,920 --> 00:06:13,080 Speaker 4: were probably some hopes that you know, it would reassure 112 00:06:13,080 --> 00:06:15,599 Speaker 4: today and the shows were gone up. That's not happened. 113 00:06:16,000 --> 00:06:18,240 Speaker 3: I think one of the harder jobs in Global Wall 114 00:06:18,240 --> 00:06:20,680 Speaker 3: Street is to be a luxury analyst, because not only 115 00:06:20,720 --> 00:06:22,280 Speaker 3: do you have to have the numbers right and the 116 00:06:22,360 --> 00:06:24,880 Speaker 3: multiples right in your earnings models, but you have to 117 00:06:24,920 --> 00:06:27,560 Speaker 3: have a call on fashion, which is fickle to say 118 00:06:27,720 --> 00:06:31,680 Speaker 3: the least. Here is it exactly if you'remez, do you 119 00:06:31,839 --> 00:06:33,040 Speaker 3: just bring in some new blood? 120 00:06:33,080 --> 00:06:35,120 Speaker 2: Here is that in terms of well they. 121 00:06:35,040 --> 00:06:37,880 Speaker 4: Are doing that. They've got a lady called Grace Wale's 122 00:06:37,920 --> 00:06:40,560 Speaker 4: Bonner who's a very well respected men's were designed a 123 00:06:40,560 --> 00:06:44,000 Speaker 4: big surprise. She's going to be the creative director of men'swear. 124 00:06:44,480 --> 00:06:49,280 Speaker 4: She's been very influential. Her collaborations with added US helped 125 00:06:49,400 --> 00:06:53,520 Speaker 4: to spark the you know, the big jump in demand, 126 00:06:53,520 --> 00:06:56,720 Speaker 4: but Added US traders, particularly those sambas, but they were 127 00:06:56,800 --> 00:07:00,240 Speaker 4: everywhere a couple of years ago. She's very powerful, she's 128 00:07:00,320 --> 00:07:03,919 Speaker 4: very well respected. She could although it's men's where she 129 00:07:03,960 --> 00:07:06,000 Speaker 4: could bring a bit of a bit more of a 130 00:07:06,040 --> 00:07:08,360 Speaker 4: you know, a bit more pizzazz back. They're also doing 131 00:07:08,360 --> 00:07:11,360 Speaker 4: Hope couture. But the question this morning on the analyst 132 00:07:11,400 --> 00:07:15,640 Speaker 4: call was are you going to reduce capacity? There are 133 00:07:15,680 --> 00:07:20,120 Speaker 4: certain bags, the Kelly, the Burkin, and also the Constants 134 00:07:20,120 --> 00:07:21,720 Speaker 4: which quite hard to get. You have to put your 135 00:07:21,760 --> 00:07:25,120 Speaker 4: name on a list. Her miss is gradually ramping up production. 136 00:07:25,920 --> 00:07:26,120 Speaker 2: Now. 137 00:07:26,200 --> 00:07:29,800 Speaker 4: Ferrari also had these problems, and it's kind of dial 138 00:07:30,000 --> 00:07:32,920 Speaker 4: back its production of like the bog standard model. If 139 00:07:32,960 --> 00:07:35,040 Speaker 4: you can get a bog standard Ferrari like a you know, 140 00:07:35,800 --> 00:07:38,080 Speaker 4: a run of the real Ferrari, and it's doing these 141 00:07:38,200 --> 00:07:41,000 Speaker 4: very special editions. So could hermis do that? Could it, 142 00:07:41,120 --> 00:07:45,480 Speaker 4: you know, limit some of its bags and even go 143 00:07:45,560 --> 00:07:48,400 Speaker 4: more up market and do like super rare burk In 144 00:07:48,520 --> 00:07:50,920 Speaker 4: super break Kelly's, or even a new bag altogether that 145 00:07:51,040 --> 00:07:56,040 Speaker 4: could compete with which you now so great news, you know, 146 00:07:56,160 --> 00:07:59,000 Speaker 4: potentially for for resale values that have been coming down. 147 00:07:59,400 --> 00:08:01,880 Speaker 4: Very bad news. If you've got your name down for 148 00:08:01,960 --> 00:08:04,120 Speaker 4: one of these bags, it could be you know, if 149 00:08:04,120 --> 00:08:06,000 Speaker 4: they change the model, it could be getting even harder. 150 00:08:06,080 --> 00:08:08,040 Speaker 4: They'll find one. 151 00:08:09,040 --> 00:08:09,640 Speaker 1: Stay with us. 152 00:08:09,840 --> 00:08:12,160 Speaker 3: More from Bloomberg Intelligence coming up after this. 153 00:08:16,040 --> 00:08:19,680 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 154 00:08:19,840 --> 00:08:22,520 Speaker 1: weekdays at ten am. He's done on Apple Cocklay and 155 00:08:22,520 --> 00:08:25,800 Speaker 1: Android Auto with the Bloomberg Business app. Listen on demand 156 00:08:25,840 --> 00:08:29,400 Speaker 1: wherever you get your podcasts, or watch us live on YouTube. 157 00:08:30,480 --> 00:08:34,840 Speaker 6: Let's stick with industries overall and talk about the auto sector, 158 00:08:35,320 --> 00:08:40,280 Speaker 6: clearly very much impacted by the rising oil prices. Stillantis 159 00:08:40,320 --> 00:08:42,720 Speaker 6: Ford GM, they all have to keep a very close 160 00:08:42,720 --> 00:08:46,319 Speaker 6: eye on how oil prices are trending, especially as they 161 00:08:46,440 --> 00:08:49,320 Speaker 6: have transitioned away from evs at least in the United 162 00:08:49,360 --> 00:08:52,640 Speaker 6: States to focus on those big gas guzzling vehicles. Let's 163 00:08:52,640 --> 00:08:55,880 Speaker 6: bring in now Steve Mann. Steve runs our Global Autos 164 00:08:55,920 --> 00:08:58,160 Speaker 6: team here and Industrials Research, and. 165 00:08:58,080 --> 00:08:59,800 Speaker 2: He's actually in New York today. Hi, Steve, You've got 166 00:08:59,800 --> 00:09:00,160 Speaker 2: to see you. 167 00:09:00,280 --> 00:09:00,640 Speaker 7: Hello. 168 00:09:01,160 --> 00:09:03,360 Speaker 6: So talk a little bit about what SLANTIS is doing, 169 00:09:03,360 --> 00:09:07,200 Speaker 6: because it's now looking into reviving a partnership with China's 170 00:09:07,200 --> 00:09:10,000 Speaker 6: doll Func Motor that would involve joint car production in 171 00:09:10,040 --> 00:09:10,760 Speaker 6: Europe and China. 172 00:09:11,200 --> 00:09:16,360 Speaker 7: Yeah, we actually wrote about the emerging trend of you know, 173 00:09:16,400 --> 00:09:22,560 Speaker 7: global automakers using China as a manufacturing base and really 174 00:09:22,679 --> 00:09:26,319 Speaker 7: take the competition to the Chinese, because the Chinese has 175 00:09:26,400 --> 00:09:30,600 Speaker 7: done really well exporting vehicles out of China, not only 176 00:09:30,640 --> 00:09:35,200 Speaker 7: in Europe, but in many parts of emerging markets, Southeast Asia, 177 00:09:35,480 --> 00:09:39,280 Speaker 7: parts of Latin America. So, you know, I think for 178 00:09:39,480 --> 00:09:43,360 Speaker 7: global automakers like Stillentis, I think Volkswagen is considering doing 179 00:09:43,400 --> 00:09:46,280 Speaker 7: the same thing. GM is definitely doing. It is really 180 00:09:46,360 --> 00:09:49,640 Speaker 7: to build cars in China at a low cost base 181 00:09:50,280 --> 00:09:53,200 Speaker 7: and then compete with the Chinese in these emerging markets. 182 00:09:53,280 --> 00:09:55,760 Speaker 3: Why would so What are the BYD's the Chinese auto 183 00:09:55,760 --> 00:09:56,880 Speaker 3: companies saying about. 184 00:09:56,600 --> 00:10:01,040 Speaker 7: This, Well, I think I think, you know, they feel 185 00:10:01,080 --> 00:10:05,920 Speaker 7: they have an advantage because they are you know, local, 186 00:10:06,840 --> 00:10:11,880 Speaker 7: They feel that their automobiles are more techy and resonates 187 00:10:11,920 --> 00:10:16,240 Speaker 7: with especially the younger first time car buyers, and many 188 00:10:16,240 --> 00:10:19,439 Speaker 7: of them are in emerging markets. So you know, I 189 00:10:19,520 --> 00:10:22,520 Speaker 7: think I think the Chinese will will continue to export 190 00:10:22,679 --> 00:10:24,520 Speaker 7: quite a bit of vehicles going forward. 191 00:10:24,800 --> 00:10:27,000 Speaker 6: What does this mean for these kinds of vehicles in 192 00:10:27,000 --> 00:10:29,720 Speaker 6: the US. I mean, we're still obsessed with the gas 193 00:10:29,720 --> 00:10:33,520 Speaker 6: couzling vehicles. They've done away with all the tax credits 194 00:10:33,559 --> 00:10:38,480 Speaker 6: for greener vehicles. How does this position Stilantis and other 195 00:10:38,520 --> 00:10:42,840 Speaker 6: carmakers for how they offer lower cost vehicles for Americans? 196 00:10:42,960 --> 00:10:45,440 Speaker 7: Yeah, interestingly, that's a good question because a lot of 197 00:10:45,480 --> 00:10:50,079 Speaker 7: the buyers in emerging markets are actually skipping the ice 198 00:10:50,360 --> 00:10:54,680 Speaker 7: gasoline vehicles and going straight to electric. So that's also 199 00:10:54,720 --> 00:10:58,360 Speaker 7: an advantage to some of the Chinese local automakers, but 200 00:10:59,040 --> 00:11:03,280 Speaker 7: it actually helped the global automakers like Slilentis because even 201 00:11:03,320 --> 00:11:07,560 Speaker 7: though the US have stepped back on EV's, the rest 202 00:11:07,600 --> 00:11:11,080 Speaker 7: of the world are not. Right, they're still pushing EV's, 203 00:11:11,200 --> 00:11:13,760 Speaker 7: so they need to continue to bill EV's. They still 204 00:11:14,080 --> 00:11:18,000 Speaker 7: need to invest in evs. So you know, having them 205 00:11:18,040 --> 00:11:21,600 Speaker 7: produced in China and able to compete in the rest 206 00:11:21,600 --> 00:11:24,040 Speaker 7: of the world with the Chinese, you know, gives them 207 00:11:24,080 --> 00:11:26,480 Speaker 7: a great, great option and great revenue stream. 208 00:11:26,679 --> 00:11:30,439 Speaker 3: So if i'm if I'm STILLANTUS here, one of the 209 00:11:30,480 --> 00:11:33,800 Speaker 3: brands Jeep or whatever the car will be, the vehicle 210 00:11:33,840 --> 00:11:36,680 Speaker 3: would be manufactured in China at that cost. I'm gonna 211 00:11:36,679 --> 00:11:39,120 Speaker 3: stick my stick my jeep name on it and sell 212 00:11:39,120 --> 00:11:41,280 Speaker 3: it in France or the US. 213 00:11:41,440 --> 00:11:45,200 Speaker 7: Yes, it's possible. So it's a little bit difficult in 214 00:11:45,240 --> 00:11:50,360 Speaker 7: the US because there are terrorists, and I think the 215 00:11:50,440 --> 00:11:54,280 Speaker 7: administration actually frowns on that. They actually had some discussion 216 00:11:54,320 --> 00:11:57,600 Speaker 7: with this GM about that. But I think more in 217 00:11:57,720 --> 00:12:00,880 Speaker 7: the rest of the world, like Europeans and the emerging markets. 218 00:12:02,640 --> 00:12:05,040 Speaker 6: We keep talking about how the lowest cost or the 219 00:12:05,080 --> 00:12:07,160 Speaker 6: average price of a new car in the US is 220 00:12:07,280 --> 00:12:10,240 Speaker 6: north of fifty thousand dollars, right, Yes, that's where we're 221 00:12:10,240 --> 00:12:13,880 Speaker 6: standing at in terms of actually coming to market with 222 00:12:14,080 --> 00:12:15,680 Speaker 6: an affordable, low cost vehicle. 223 00:12:16,040 --> 00:12:18,120 Speaker 2: Tesla's supposed to come out with something. 224 00:12:17,880 --> 00:12:20,280 Speaker 6: And I don't know if we have any kind of 225 00:12:20,360 --> 00:12:24,000 Speaker 6: timeline on that. Have GM and Ford kind of skipped 226 00:12:24,240 --> 00:12:25,280 Speaker 6: making this a priority? 227 00:12:25,880 --> 00:12:29,559 Speaker 7: Uh No, I think you know, first of all, there 228 00:12:29,600 --> 00:12:33,040 Speaker 7: are kind of rumors in social media that, you know, 229 00:12:33,120 --> 00:12:36,920 Speaker 7: Tesla is going to go back and think about reintroducing 230 00:12:37,040 --> 00:12:43,600 Speaker 7: a smaller compact vehicle. But GM is still investing. They're 231 00:12:43,600 --> 00:12:48,920 Speaker 7: still launching the Chevy Bolt. Look they have GM does 232 00:12:49,000 --> 00:12:52,760 Speaker 7: have a strong portfolio of evs not in the US. Well, 233 00:12:53,040 --> 00:12:55,200 Speaker 7: they do have a strong portfolio in the US, but 234 00:12:55,240 --> 00:12:58,760 Speaker 7: they also have a strong portfolio in China. And you know, 235 00:12:58,840 --> 00:13:04,920 Speaker 7: I think I think the US automakers, even though they 236 00:13:05,000 --> 00:13:09,720 Speaker 7: have dial down the investments in evs, they're not forgetting 237 00:13:09,760 --> 00:13:12,600 Speaker 7: about it. They are still spending a lot of money. 238 00:13:12,920 --> 00:13:16,440 Speaker 7: Ford is introducing something in twenty twenty seven twenty twenty eight, 239 00:13:16,760 --> 00:13:20,440 Speaker 7: a smaller, more affordable vehicles. Look in the US. It's 240 00:13:20,480 --> 00:13:23,600 Speaker 7: interesting to see even those EV sales have been down, 241 00:13:24,160 --> 00:13:28,440 Speaker 7: the infrastructure, the charging infrastructure, actually is continue to expand. 242 00:13:29,000 --> 00:13:33,040 Speaker 7: I think as consumer finds the the convenience of having 243 00:13:33,240 --> 00:13:36,680 Speaker 7: an EV's, I think there's still a place for EV's 244 00:13:36,720 --> 00:13:39,400 Speaker 7: in the US, but not at at the growth way 245 00:13:39,440 --> 00:13:40,120 Speaker 7: we saw in the past. 246 00:13:41,800 --> 00:13:44,599 Speaker 2: Stay with us. More from Bloomberg Intelligence coming up after this. 247 00:13:48,000 --> 00:13:51,720 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 248 00:13:51,800 --> 00:13:54,840 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 249 00:13:54,880 --> 00:13:58,199 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 250 00:13:58,240 --> 00:14:01,360 Speaker 1: you get your podcasts, or live on YouTube. 251 00:14:02,360 --> 00:14:05,640 Speaker 6: All six big banks have now reported their results, and 252 00:14:05,760 --> 00:14:09,000 Speaker 6: clearly the war, the uncertainty that the war has created 253 00:14:09,280 --> 00:14:13,240 Speaker 6: has not really damped stock trading because their equity trading 254 00:14:13,280 --> 00:14:16,559 Speaker 6: desks did incredible business in the first quarter. Herman Chan 255 00:14:16,800 --> 00:14:19,480 Speaker 6: is our senior analyst for US banks here at Bloomberg 256 00:14:19,520 --> 00:14:23,000 Speaker 6: Intelligence and he joins US now. Herman which bank came 257 00:14:23,040 --> 00:14:26,160 Speaker 6: out ahead overall because they all did really well when 258 00:14:26,160 --> 00:14:29,200 Speaker 6: it comes to equity trading, less well on fixed income trading. 259 00:14:29,480 --> 00:14:31,600 Speaker 6: But when you look at the results as a whole, 260 00:14:31,840 --> 00:14:33,560 Speaker 6: which bank comes out of the winner. 261 00:14:33,720 --> 00:14:36,440 Speaker 8: Yeah, I would say Morgan Stanley probably outshined the most 262 00:14:36,960 --> 00:14:39,720 Speaker 8: across the trading front, both on equitis and fixed income. 263 00:14:40,480 --> 00:14:41,960 Speaker 2: But overall everything was great. 264 00:14:42,000 --> 00:14:45,200 Speaker 8: On the trading front. We're talking about twenty five percent 265 00:14:45,280 --> 00:14:50,160 Speaker 8: growth inequities, eleven percent growth in fixed income across the 266 00:14:50,240 --> 00:14:54,120 Speaker 8: six banks. Really strong results. Fixed income, as you mentioned before, 267 00:14:54,360 --> 00:14:58,200 Speaker 8: was a bit more mixed with Goldman weaker, Bank of 268 00:14:58,200 --> 00:15:02,160 Speaker 8: America touch weaker, but everybody else was really strong on 269 00:15:02,200 --> 00:15:02,880 Speaker 8: the fixed side. 270 00:15:03,360 --> 00:15:07,000 Speaker 3: What are they saying about the pipeline here for business 271 00:15:07,000 --> 00:15:09,160 Speaker 3: because it seems like this is going to be a 272 00:15:09,240 --> 00:15:12,440 Speaker 3: year where we could potentially get some mega IPOs. I'm 273 00:15:12,440 --> 00:15:15,120 Speaker 3: thinking SpaceX and all the anthropics and all the kind 274 00:15:15,120 --> 00:15:15,640 Speaker 3: of st Yeah. 275 00:15:15,720 --> 00:15:20,120 Speaker 8: Yeah, I think the IPO calendar looks a bit spottier. 276 00:15:20,200 --> 00:15:24,080 Speaker 8: We have the big blockbuster names like you mentioned with SpaceX, 277 00:15:24,120 --> 00:15:27,600 Speaker 8: potentially open AI, anthropic data bricks. Those are going to 278 00:15:27,640 --> 00:15:30,880 Speaker 8: be the headline ones. But on the other hand, maybe 279 00:15:30,920 --> 00:15:36,200 Speaker 8: some less activity from the private equity backed businesses that 280 00:15:36,480 --> 00:15:39,360 Speaker 8: may be finding it tougher sledding in terms of getting 281 00:15:39,400 --> 00:15:42,360 Speaker 8: into the markets giving the volatilty and the environment today. 282 00:15:42,720 --> 00:15:45,400 Speaker 8: But nonetheless, there's going to be these blockbuster deals that 283 00:15:45,440 --> 00:15:46,600 Speaker 8: are going to happen this year in. 284 00:15:46,600 --> 00:15:49,520 Speaker 6: Our view, and it doesn't appear that companies have held 285 00:15:49,560 --> 00:15:52,520 Speaker 6: off or held back from deal making either, even with 286 00:15:52,680 --> 00:15:54,600 Speaker 6: all the uncertainty caused by the war. 287 00:15:54,960 --> 00:15:55,640 Speaker 2: Yeah, that's right. 288 00:15:55,800 --> 00:15:57,920 Speaker 8: M and A at least for the first quarter was 289 00:15:58,080 --> 00:16:01,040 Speaker 8: solid strong all the way around on a year over 290 00:16:01,160 --> 00:16:05,200 Speaker 8: year basis. That was gangbusters up sixty eight percent year 291 00:16:05,240 --> 00:16:08,960 Speaker 8: every year. So we'll see how that continues given some 292 00:16:09,080 --> 00:16:12,320 Speaker 8: of the you mentioned. The volatility is great for the 293 00:16:12,360 --> 00:16:16,440 Speaker 8: trading front, less so for M and A activity and 294 00:16:16,680 --> 00:16:19,680 Speaker 8: equities issue, and so it'll be a bit of potentially 295 00:16:19,680 --> 00:16:21,640 Speaker 8: slowing down over the course of the year. 296 00:16:22,280 --> 00:16:25,760 Speaker 3: So we heard Ted pick On earlier today with Lisa 297 00:16:25,800 --> 00:16:29,320 Speaker 3: Bromwitz and talking about the Morgan standing results. Man, they 298 00:16:29,440 --> 00:16:32,320 Speaker 3: look they look pretty solid. There is that in the 299 00:16:32,360 --> 00:16:34,800 Speaker 3: returns they're generating. Talk about tools about the returns this 300 00:16:34,880 --> 00:16:38,360 Speaker 3: big banks are generating now before versus you know, several 301 00:16:38,440 --> 00:16:38,840 Speaker 3: years ago. 302 00:16:39,040 --> 00:16:42,440 Speaker 8: Yeah, I mean, returns are improving across the board. JP 303 00:16:42,520 --> 00:16:46,000 Speaker 8: Morgan leads a twenty three percent return on tangible equity 304 00:16:46,400 --> 00:16:49,040 Speaker 8: and then even some of the laggards like City Group 305 00:16:49,120 --> 00:16:54,280 Speaker 8: at thirteen percent ROTCE. That's relative to their expectations of 306 00:16:54,360 --> 00:16:57,480 Speaker 8: ten to eleven percent for the year. So everybody is 307 00:16:57,520 --> 00:17:02,040 Speaker 8: actually increasing their returns. It's been helped by the trading 308 00:17:02,080 --> 00:17:04,119 Speaker 8: results that we saw in the first quarter. It's also 309 00:17:04,119 --> 00:17:07,720 Speaker 8: been helped by stable expenses. I think AI will be 310 00:17:07,800 --> 00:17:10,800 Speaker 8: a big driver of that going forward as well. With 311 00:17:10,920 --> 00:17:16,520 Speaker 8: less headcount growth for the industry, but positive operating leverage, 312 00:17:17,000 --> 00:17:19,520 Speaker 8: all of the top line strengthlets falling to the bottom line, 313 00:17:19,520 --> 00:17:20,280 Speaker 8: which is good to see. 314 00:17:20,400 --> 00:17:22,800 Speaker 6: I'm glad you bring up expense growth because there's a 315 00:17:22,800 --> 00:17:25,320 Speaker 6: Bloomberg News story indicating that the Wall Street banks cut 316 00:17:25,400 --> 00:17:26,960 Speaker 6: five thousand jobs. 317 00:17:26,800 --> 00:17:28,200 Speaker 2: In the most profitable quarter. 318 00:17:28,359 --> 00:17:31,840 Speaker 6: Ever, how much is this an indication of what we're 319 00:17:31,880 --> 00:17:34,600 Speaker 6: going to see quarter after quarter from here on out? 320 00:17:34,680 --> 00:17:36,600 Speaker 6: I mean, is this the kind of pace of job 321 00:17:36,640 --> 00:17:38,520 Speaker 6: cuts that we might anticipate. 322 00:17:38,720 --> 00:17:41,639 Speaker 8: Yeah, It's an interesting question. It was a question that 323 00:17:41,760 --> 00:17:44,479 Speaker 8: was asked by the analyst on the earnings cause across 324 00:17:44,480 --> 00:17:49,760 Speaker 8: a number of the banks that reported. I think the 325 00:17:49,800 --> 00:17:52,880 Speaker 8: management teams were a bit shy to really give out 326 00:17:52,920 --> 00:17:56,880 Speaker 8: concrete numbers, but AI has been a game changer, especially 327 00:17:56,880 --> 00:18:00,880 Speaker 8: on the consumer side, where Bank of America gave some 328 00:18:01,240 --> 00:18:03,280 Speaker 8: numbers on the headcount on the consumer site, it's come 329 00:18:03,359 --> 00:18:05,560 Speaker 8: down drastically and a lot of that has to do 330 00:18:05,680 --> 00:18:10,400 Speaker 8: with areas that are more manually intensive and also areas 331 00:18:10,440 --> 00:18:12,879 Speaker 8: like the call center where you just don't need the 332 00:18:12,920 --> 00:18:15,399 Speaker 8: same amount of people doing that. Given the fact that 333 00:18:15,960 --> 00:18:18,880 Speaker 8: Make of America has bolstered their AI chat bob, which 334 00:18:18,920 --> 00:18:22,800 Speaker 8: they named Erica, that's been driving a lot of the. 335 00:18:24,280 --> 00:18:27,120 Speaker 2: Client in headcount needs. So we'll start. 336 00:18:26,920 --> 00:18:30,120 Speaker 3: Hearing from the regional banks soon. They have a much 337 00:18:30,200 --> 00:18:33,639 Speaker 3: lower exposure to the capital markets business. So what are 338 00:18:33,680 --> 00:18:35,880 Speaker 3: you going to be looking for from the regional banks show? 339 00:18:35,920 --> 00:18:39,119 Speaker 8: Yeah, regional banks kicked off earnings today with P and C, 340 00:18:39,760 --> 00:18:41,680 Speaker 8: M and C and first to rise in reporting. 341 00:18:42,040 --> 00:18:43,200 Speaker 2: I'd say it was a mixed bag. 342 00:18:43,320 --> 00:18:47,560 Speaker 8: P and C probably outshown outshined on the lending front 343 00:18:47,720 --> 00:18:52,280 Speaker 8: with strong loan growth, particularly in commercial lending, and that 344 00:18:52,440 --> 00:18:55,000 Speaker 8: was echoed across the big banks as well, where they 345 00:18:55,040 --> 00:19:01,160 Speaker 8: saw broader growth in commercial lending, increasing lineation which has 346 00:19:01,240 --> 00:19:04,199 Speaker 8: been in the doul drums for several quarters given the 347 00:19:04,280 --> 00:19:09,959 Speaker 8: uncertainty of tariffs last year, and then some pick up 348 00:19:10,000 --> 00:19:12,960 Speaker 8: in production from areas like small businesses and the like. 349 00:19:13,040 --> 00:19:15,920 Speaker 8: So that's great to see for banks like P and C. 350 00:19:16,640 --> 00:19:19,280 Speaker 8: For M and C, it was a bit weaker. They 351 00:19:19,359 --> 00:19:22,040 Speaker 8: did guide down on their net interest income because of 352 00:19:22,119 --> 00:19:24,160 Speaker 8: less growth in consumer lending. 353 00:19:24,920 --> 00:19:26,280 Speaker 6: When it comes to the big banks, there are a 354 00:19:26,280 --> 00:19:29,160 Speaker 6: lot of questions about private credit and how exposed these 355 00:19:29,160 --> 00:19:32,960 Speaker 6: big banks are too potentially bad loans made directly to 356 00:19:33,200 --> 00:19:34,800 Speaker 6: some of these companies. 357 00:19:35,600 --> 00:19:38,000 Speaker 2: Is this a problem for regional banks. 358 00:19:37,800 --> 00:19:40,040 Speaker 8: It's it's also been a growth driver for regionals, so 359 00:19:40,119 --> 00:19:45,480 Speaker 8: it's it's a area that's been one of the outstanding 360 00:19:47,240 --> 00:19:52,040 Speaker 8: areas for loan growth. That being said, there there is 361 00:19:52,240 --> 00:19:55,960 Speaker 8: virtually no concern across the management teams. I can point 362 00:19:56,040 --> 00:19:59,280 Speaker 8: to P and C CEO Bill Demchek that just spoke 363 00:19:59,320 --> 00:20:01,800 Speaker 8: earlier this morning. He said there was a question on 364 00:20:01,880 --> 00:20:04,800 Speaker 8: and like where on the you know, loss curve, could 365 00:20:04,880 --> 00:20:10,200 Speaker 8: could credit private credit b in a recessionary environment. And 366 00:20:10,480 --> 00:20:14,199 Speaker 8: basically said it's not on the curve. He's saying that 367 00:20:14,240 --> 00:20:18,600 Speaker 8: they don't expect any losses. And he contrasts that comment 368 00:20:18,880 --> 00:20:22,040 Speaker 8: with what happened a few years back on the office 369 00:20:22,040 --> 00:20:26,199 Speaker 8: commercial real estate front, where they were very open about 370 00:20:26,400 --> 00:20:28,679 Speaker 8: their exposures and potential loss rates. 371 00:20:28,680 --> 00:20:30,440 Speaker 2: There they virtually. 372 00:20:30,160 --> 00:20:33,399 Speaker 8: Saly know losses from their private critics. So that's great 373 00:20:33,400 --> 00:20:36,159 Speaker 8: to hear that, and they were very adamant about that. 374 00:20:37,280 --> 00:20:41,960 Speaker 1: This is the Bloomberg Intelligence podcast, available on Apple, Spotify, 375 00:20:42,160 --> 00:20:45,640 Speaker 1: and anywhere else you get your podcasts. 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