1 00:00:00,280 --> 00:00:11,680 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. This is Bloomberg Intelligence 2 00:00:11,800 --> 00:00:13,840 Speaker 1: with Alex Steele and Paul Sweeney. 3 00:00:14,000 --> 00:00:17,200 Speaker 2: The real app performance has been in US corporate high yield. 4 00:00:17,400 --> 00:00:19,720 Speaker 3: Are the companies lean enough? Have they trimmed all the facts? 5 00:00:19,800 --> 00:00:22,960 Speaker 2: The semiconductor business is a really cyclical. 6 00:00:22,560 --> 00:00:26,760 Speaker 1: Business, breaking market headlines and corporate news from across the globe. 7 00:00:26,800 --> 00:00:29,280 Speaker 4: Do investors like the M and A that we've seen? 8 00:00:29,480 --> 00:00:32,440 Speaker 2: These are two big time blue chip companies. 9 00:00:32,680 --> 00:00:36,080 Speaker 4: Window between the peak and cunt changing super fast. 10 00:00:36,320 --> 00:00:41,360 Speaker 1: Bloomberg Intelligence with Alex Steele and Paul Sweeney on Bloomberg Radio. 11 00:00:42,800 --> 00:00:45,720 Speaker 3: Oh, Paul Sweeney and I'm Normalinda filling in for Alex Steel. 12 00:00:45,920 --> 00:00:48,199 Speaker 2: On today's Bloomberg Intelligence Show. We dig inside that big 13 00:00:48,240 --> 00:00:50,640 Speaker 2: business story is impacting Wall Street and the global markets. 14 00:00:50,840 --> 00:00:53,120 Speaker 3: Each and every week we provide in depth research and 15 00:00:53,240 --> 00:00:55,640 Speaker 3: data on some of the two thousand companies and one 16 00:00:55,760 --> 00:00:58,360 Speaker 3: hundred and thirty industries are analysts cover worldwide. 17 00:00:58,440 --> 00:01:02,480 Speaker 2: Today, we'll look at why Lovemaker LVMH posted weaker than 18 00:01:02,520 --> 00:01:03,920 Speaker 2: expected sales last quarter. 19 00:01:04,120 --> 00:01:06,920 Speaker 3: Plus we'll discuss how the tech company Intel is now 20 00:01:06,959 --> 00:01:10,040 Speaker 3: making good on plans to start spinning off non core assets. 21 00:01:10,160 --> 00:01:13,240 Speaker 2: But first we begin with the drug in pharmaceutical space. 22 00:01:13,280 --> 00:01:16,680 Speaker 2: This week, Pfizer terminated development of its obesity bill after 23 00:01:16,720 --> 00:01:20,120 Speaker 2: a patient in a clinical trial developed signs of liver injury. 24 00:01:20,400 --> 00:01:22,319 Speaker 3: This raises the odds that the drug maker will spend 25 00:01:22,400 --> 00:01:25,360 Speaker 3: billions on an acquisition to break in the blockbuster weight 26 00:01:25,400 --> 00:01:28,400 Speaker 3: loss market dominated by Novo, Nordisk and Eli Lilly. 27 00:01:28,640 --> 00:01:30,640 Speaker 2: For more, guest host Emily Grafail and I were joined 28 00:01:30,680 --> 00:01:34,600 Speaker 2: by Mikey Shap Bloomberg Intelligence senior pharma biotech analysts. We 29 00:01:34,640 --> 00:01:37,360 Speaker 2: first asked Mikey how big of an issue this recent 30 00:01:37,400 --> 00:01:38,480 Speaker 2: news is for Pfizer. 31 00:01:38,840 --> 00:01:41,920 Speaker 5: Yeah, I mean, I think it's a sentiment issue. I mean, clearly, 32 00:01:42,360 --> 00:01:45,120 Speaker 5: you know, you go to massive BC market out the 33 00:01:45,480 --> 00:01:49,480 Speaker 5: one hundred billion dollar plus in terms of sides, and 34 00:01:49,520 --> 00:01:52,120 Speaker 5: it's a market where you know, Phiz's already kind of 35 00:01:52,160 --> 00:01:57,800 Speaker 5: trailing large farm appears like Lily Rosch Novo in terms 36 00:01:57,840 --> 00:02:00,680 Speaker 5: of you know, the ABC pill itself. So this was 37 00:02:00,960 --> 00:02:06,680 Speaker 5: Danny glitpron So what what it they actually did was 38 00:02:06,680 --> 00:02:10,440 Speaker 5: it used to be a twice daily pill. They kind 39 00:02:10,440 --> 00:02:13,079 Speaker 5: of can that and repurposed it into a once daily 40 00:02:13,080 --> 00:02:16,120 Speaker 5: Following the failure of another one of their OBCs pills, 41 00:02:16,160 --> 00:02:19,920 Speaker 5: Lot of Glippron, So I'd say, you know, confidence into 42 00:02:19,960 --> 00:02:22,720 Speaker 5: this readout, you know, was pretty low. We had ready 43 00:02:22,840 --> 00:02:25,320 Speaker 5: kind of removed it from our models, you know, back 44 00:02:25,320 --> 00:02:29,079 Speaker 5: in twenty three. But what it does, you know, create is, 45 00:02:29,320 --> 00:02:32,440 Speaker 5: you know to two concerns. One is you know, the 46 00:02:32,480 --> 00:02:35,919 Speaker 5: trailing timeline in the BCC space. And two it kind 47 00:02:35,919 --> 00:02:38,240 Speaker 5: of adds to the mid to long term growth worries 48 00:02:38,520 --> 00:02:41,160 Speaker 5: of the company. So they've got you know, about fifteen 49 00:02:41,200 --> 00:02:44,800 Speaker 5: billion dollars and lost revenue to looees that they'll need 50 00:02:44,840 --> 00:02:47,960 Speaker 5: to kind of offset over twenty five to twenty nine. 51 00:02:49,000 --> 00:02:51,480 Speaker 5: And at the moment, you know, it's quite hard to 52 00:02:51,520 --> 00:02:54,639 Speaker 5: see you know where that where that offset and where 53 00:02:54,639 --> 00:02:57,000 Speaker 5: that additional growth is going to come come from. Long 54 00:02:57,120 --> 00:03:00,600 Speaker 5: term obesity would be kind of one pillar. But you know, 55 00:03:00,680 --> 00:03:03,680 Speaker 5: following the danaglip from read out today or the news today, 56 00:03:04,400 --> 00:03:07,440 Speaker 5: you know that's obviously mean terminated. So you know, we 57 00:03:07,480 --> 00:03:09,360 Speaker 5: think that they're going to have to go to you know, 58 00:03:09,440 --> 00:03:14,120 Speaker 5: look to external assets in the obcit space if they're 59 00:03:14,120 --> 00:03:18,160 Speaker 5: going to remain a relevant player in the in that market. 60 00:03:19,120 --> 00:03:23,239 Speaker 4: Is anyone else doing obesity pills in this market right now? 61 00:03:24,520 --> 00:03:26,880 Speaker 5: Yeah? So, I mean there's a few biotechs out there 62 00:03:27,320 --> 00:03:29,000 Speaker 5: that are that are doing pills. In terms of the 63 00:03:29,080 --> 00:03:32,079 Speaker 5: large farmer competitors, you know, Lily's got one, we'll see 64 00:03:32,120 --> 00:03:34,639 Speaker 5: the data for that this year. Phase three that could 65 00:03:34,680 --> 00:03:39,120 Speaker 5: potentially launch in twenty six. Novo's got one they're expected 66 00:03:39,160 --> 00:03:42,680 Speaker 5: to file, and then you know Rush also has one 67 00:03:42,880 --> 00:03:45,640 Speaker 5: kind of in early to mid stage development too. On 68 00:03:45,720 --> 00:03:48,680 Speaker 5: the biotech front, you know, we're seeing moves for you know, 69 00:03:48,800 --> 00:03:52,440 Speaker 5: Viking structure turns and they all hold or or JP 70 00:03:52,600 --> 00:03:54,280 Speaker 5: ones in their pipeline two. 71 00:03:54,520 --> 00:03:57,880 Speaker 2: Hey, Mikey, can you put into just perspective the size 72 00:03:57,920 --> 00:04:03,200 Speaker 2: of this obesity market relative to other big verticals that 73 00:04:03,320 --> 00:04:04,640 Speaker 2: drive these former companies. 74 00:04:06,520 --> 00:04:09,280 Speaker 5: I mean, I think the excitement around robust is you 75 00:04:09,320 --> 00:04:13,360 Speaker 5: know one, it's you know, prevalence is rising. You're forty 76 00:04:13,360 --> 00:04:18,400 Speaker 5: percent of US adults at the moment that are obese, 77 00:04:18,720 --> 00:04:23,520 Speaker 5: and it's a relatively underpenetrated market. So I mean, you know, 78 00:04:23,720 --> 00:04:27,479 Speaker 5: penetration rates are you know, low single digits, you know 79 00:04:27,520 --> 00:04:30,160 Speaker 5: in the US at the moment, you know, probably even 80 00:04:30,200 --> 00:04:36,560 Speaker 5: lower elsewhere, you know, globally, and you know, we think 81 00:04:36,600 --> 00:04:38,640 Speaker 5: that this market could grow, you know, well in excess 82 00:04:38,640 --> 00:04:42,320 Speaker 5: of one hundred billion dollars so yeah, I mean it's 83 00:04:42,320 --> 00:04:46,080 Speaker 5: a massive opportunity. I think in terms of you know, 84 00:04:46,200 --> 00:04:51,160 Speaker 5: drug classes, I think PD you know, immuno oncology PD 85 00:04:51,279 --> 00:04:53,640 Speaker 5: are one PD one drugs, you know, with a kind 86 00:04:53,720 --> 00:04:56,120 Speaker 5: of biggest class to date in terms of sales. So 87 00:04:56,200 --> 00:04:59,520 Speaker 5: that's like your contruder Bristol or Duvo, but you know 88 00:04:59,640 --> 00:05:02,400 Speaker 5: gr ones could potentially surpass that. 89 00:05:02,800 --> 00:05:06,560 Speaker 4: So Michael, where does Fizer go from here after this setback? 90 00:05:07,120 --> 00:05:09,560 Speaker 4: Do they double down on obesc pills? Do they do 91 00:05:09,600 --> 00:05:12,080 Speaker 4: they try something new? What's the plan here for Pfizer? 92 00:05:13,440 --> 00:05:15,760 Speaker 5: So, I mean they've got another oral jylp one in 93 00:05:15,800 --> 00:05:18,600 Speaker 5: their pipeline, so it's in phase one. It's being developed 94 00:05:18,600 --> 00:05:22,200 Speaker 5: for diabetes, notatural you know, whether or not they can 95 00:05:22,279 --> 00:05:25,919 Speaker 5: also look at that in obesity two. But clearly the 96 00:05:25,960 --> 00:05:28,720 Speaker 5: timeline here is the issue. You know, You've got oral 97 00:05:28,800 --> 00:05:31,520 Speaker 5: jilp ones coming to market in twenty six onwards. You'll 98 00:05:31,560 --> 00:05:34,960 Speaker 5: probably have a wave of new treatments coming in, you know, 99 00:05:35,040 --> 00:05:38,159 Speaker 5: towards the end of the end of the decade. So 100 00:05:38,240 --> 00:05:39,760 Speaker 5: you know, we really think that Fiser is going to 101 00:05:39,839 --> 00:05:41,960 Speaker 5: have to go out, you know, either in license at 102 00:05:42,000 --> 00:05:44,680 Speaker 5: jilp one or do some sort of m and a 103 00:05:45,200 --> 00:05:47,240 Speaker 5: they're well positioned to do that. You know, they've got 104 00:05:47,279 --> 00:05:50,359 Speaker 5: ten to fifteen billion of M and a firepower you 105 00:05:50,360 --> 00:05:55,719 Speaker 5: know to four acquisitions. So that's really you know, how 106 00:05:55,760 --> 00:05:57,880 Speaker 5: we think that they're going to do, you know, play 107 00:05:57,920 --> 00:06:01,200 Speaker 5: catch up in this space in terms of you know, 108 00:06:01,240 --> 00:06:03,440 Speaker 5: I mentioned some biotechs out there that have you know, 109 00:06:03,520 --> 00:06:08,920 Speaker 5: quite appealing assets. You know, you've also got China to say, 110 00:06:09,000 --> 00:06:12,480 Speaker 5: you know, we've seen some very competitive data in Chinese 111 00:06:12,560 --> 00:06:16,320 Speaker 5: patients for some of those domestic players, and you know 112 00:06:16,320 --> 00:06:19,279 Speaker 5: we've seen the lights of Novo Astro mark kind of 113 00:06:19,360 --> 00:06:21,560 Speaker 5: all kind of you know, delve into China's R and 114 00:06:21,640 --> 00:06:25,800 Speaker 5: D locker to essentially bolster their OBC pipelines. 115 00:06:26,160 --> 00:06:30,159 Speaker 3: Our thanks to Mikey Shaw, Bloomberg Intelligence Senior Pharma biotech analysts. 116 00:06:30,440 --> 00:06:32,520 Speaker 2: The trade war between the US and China has been 117 00:06:32,520 --> 00:06:35,040 Speaker 2: heating up. This week, China ordered its airlines to stop 118 00:06:35,080 --> 00:06:37,719 Speaker 2: taking deliveries of Boeing jets and to halt purchases of 119 00:06:37,800 --> 00:06:41,040 Speaker 2: aircraft related equipment and parts from US companies. 120 00:06:41,279 --> 00:06:43,400 Speaker 3: The move is seen as a retaliatory measure in the 121 00:06:43,440 --> 00:06:45,880 Speaker 3: ongoing trade war between the US and China, which is 122 00:06:45,880 --> 00:06:48,799 Speaker 3: imposed here is to one hundred and forty five percent 123 00:06:49,120 --> 00:06:50,080 Speaker 3: on American goods. 124 00:06:50,279 --> 00:06:52,080 Speaker 2: For more on Boeing, Nora and I were joined by 125 00:06:52,120 --> 00:06:56,000 Speaker 2: George ferguson Bloomberg Intelligence senior Aerospace, Defense and airlines analysts. 126 00:06:56,040 --> 00:06:57,880 Speaker 3: We first asked George, how big of a deal this 127 00:06:57,920 --> 00:06:58,960 Speaker 3: news is for Boeing. 128 00:06:59,400 --> 00:07:01,320 Speaker 6: I don't see the being a big issue, right, So 129 00:07:01,400 --> 00:07:04,160 Speaker 6: this is one of those things that the relationship has 130 00:07:04,200 --> 00:07:07,840 Speaker 6: deteriorated over a period of time. We took another look 131 00:07:07,880 --> 00:07:11,800 Speaker 6: at when we saw orders from the Chinese airlines for Boeing, 132 00:07:12,280 --> 00:07:16,600 Speaker 6: and there's been like fifteen or sixteen this decade. I 133 00:07:16,600 --> 00:07:20,680 Speaker 6: think fifteen came in I think last year of two 134 00:07:20,800 --> 00:07:25,160 Speaker 6: hundred and forty two orders from China that are on 135 00:07:25,240 --> 00:07:28,880 Speaker 6: the books right now, the last real material size and 136 00:07:29,040 --> 00:07:32,800 Speaker 6: orders from the big Chinese airlines we saw back in 137 00:07:32,880 --> 00:07:36,400 Speaker 6: twenty eighteen. So this is a relationship that's been broken 138 00:07:36,520 --> 00:07:39,280 Speaker 6: for a while. Frankly, the Chinese haven't really been, like 139 00:07:39,320 --> 00:07:41,280 Speaker 6: I said, ordering from Boeing. 140 00:07:41,480 --> 00:07:43,720 Speaker 7: So the bigger issue. 141 00:07:43,400 --> 00:07:45,560 Speaker 6: Here, I think is Boeing delivering some of the airplanes 142 00:07:45,840 --> 00:07:48,679 Speaker 6: they've already built for the Chinese. Like I said, there's 143 00:07:48,680 --> 00:07:51,360 Speaker 6: some two forty of them sitting in the order books. 144 00:07:51,680 --> 00:07:54,600 Speaker 6: I suspect a bunch of them are already made and 145 00:07:54,680 --> 00:07:56,400 Speaker 6: Boeing would like to get rid of them. Part of 146 00:07:56,440 --> 00:08:00,520 Speaker 6: the shadow factory elimination they're trying to do to streamline operations. 147 00:08:00,520 --> 00:08:01,880 Speaker 6: Is the pain in the neck to have an airplane 148 00:08:02,240 --> 00:08:04,560 Speaker 6: on the tarmac that's sold that you've got to maintain, 149 00:08:04,960 --> 00:08:06,840 Speaker 6: but the customer isn't taking delivery of. 150 00:08:07,200 --> 00:08:08,200 Speaker 7: It'll slow that down. 151 00:08:08,240 --> 00:08:11,920 Speaker 6: I think it might hasten some of Boeing's push to 152 00:08:12,000 --> 00:08:14,480 Speaker 6: sell some of those airplanes. The Indians have bought a. 153 00:08:14,480 --> 00:08:14,960 Speaker 7: Bunch of them. 154 00:08:15,240 --> 00:08:18,160 Speaker 6: Maybe they're they're game for more, but I just don't 155 00:08:18,760 --> 00:08:22,120 Speaker 6: This is China admitting what they've already been doing. 156 00:08:22,160 --> 00:08:25,320 Speaker 3: Frankly, So, George, what exactly is the goal here? I mean, 157 00:08:25,360 --> 00:08:28,200 Speaker 3: to your point and also Jeffrey's analysts, they're noting that 158 00:08:28,280 --> 00:08:30,840 Speaker 3: Boeing has largely de risked from China, they said of 159 00:08:30,880 --> 00:08:34,160 Speaker 3: the country contributing roughly about five percent of the skyline 160 00:08:34,200 --> 00:08:37,160 Speaker 3: over the next couple of years. But also a source 161 00:08:37,240 --> 00:08:39,760 Speaker 3: of upside. What do you think the goal is here 162 00:08:39,800 --> 00:08:42,640 Speaker 3: if there seems to be marginal impact here to Boeing. 163 00:08:43,320 --> 00:08:44,120 Speaker 7: Yeah, look, I think. 164 00:08:44,000 --> 00:08:46,240 Speaker 6: It's splashy right for the Chinese to make this kind 165 00:08:46,240 --> 00:08:51,600 Speaker 6: of commentary, And look, I do think there's potentially some upside. So, look, 166 00:08:52,040 --> 00:08:54,400 Speaker 6: there's a couple of things that's been going on right China. 167 00:08:54,440 --> 00:08:57,720 Speaker 6: One is growing a lot slower since the pandemic. Prior 168 00:08:57,760 --> 00:09:00,480 Speaker 6: to the pandemic, China would take in three three hundred 169 00:09:00,480 --> 00:09:02,839 Speaker 6: and narrow bodies a year, more than half of them 170 00:09:02,880 --> 00:09:06,120 Speaker 6: would be Boeing. And so you know since the pandemic, 171 00:09:06,240 --> 00:09:09,199 Speaker 6: last year we saw about one hundred and fifty deliveries 172 00:09:09,200 --> 00:09:13,120 Speaker 6: of narrow bodies in a China. They were airbus airplanes. 173 00:09:13,600 --> 00:09:17,000 Speaker 6: So and look, you know in a global trade battle, 174 00:09:17,520 --> 00:09:20,480 Speaker 6: China could see a diminishing GDP. Right, this is a 175 00:09:20,720 --> 00:09:25,400 Speaker 6: country grown eight percent last decade, fourish percent this decade. 176 00:09:25,520 --> 00:09:27,200 Speaker 6: But if they get that, you know, if they decide 177 00:09:27,200 --> 00:09:29,600 Speaker 6: they're going to negotiate with the US, they get some 178 00:09:29,720 --> 00:09:32,920 Speaker 6: of that growth back on the rails. I think inside 179 00:09:32,960 --> 00:09:36,640 Speaker 6: some of that negotiation you could see a requirement to 180 00:09:36,800 --> 00:09:40,400 Speaker 6: order Boeing airplanes. Donald Trump cut a similar deal in 181 00:09:40,480 --> 00:09:45,080 Speaker 6: his last administration. So there is some silver lining. And 182 00:09:45,120 --> 00:09:47,840 Speaker 6: like I said, I think the Chinese sort of they 183 00:09:47,960 --> 00:09:50,640 Speaker 6: know that the Boeing's at one of our biggest exporters. 184 00:09:51,000 --> 00:09:53,040 Speaker 6: They know they'll get some good headlines out of saying 185 00:09:53,040 --> 00:09:55,680 Speaker 6: we're not going to take any more bowing airplanes. But again, 186 00:09:55,679 --> 00:09:58,959 Speaker 6: I think this is already this is a microcosm of 187 00:09:59,000 --> 00:10:02,880 Speaker 6: the US kind of begetting uncoupled from China right now. 188 00:10:03,040 --> 00:10:05,520 Speaker 3: So this isn't a major headwind here for Boeing. But 189 00:10:05,600 --> 00:10:08,080 Speaker 3: what do you think are some headwinds that they could 190 00:10:08,080 --> 00:10:12,360 Speaker 3: be facing. What are some near term hurdles, you know. 191 00:10:12,679 --> 00:10:16,040 Speaker 6: I think Boeing has been down for so long that 192 00:10:16,120 --> 00:10:19,240 Speaker 6: I think most of the hurdles are clearing and you're 193 00:10:19,240 --> 00:10:20,760 Speaker 6: going to see a pretty good year. I think the 194 00:10:20,800 --> 00:10:22,960 Speaker 6: big issue this year is they've really got to get 195 00:10:23,280 --> 00:10:27,160 Speaker 6: Spirit Aerosystems bought and integrated into Boeing. 196 00:10:27,200 --> 00:10:28,760 Speaker 7: I think that's well underway. 197 00:10:29,040 --> 00:10:31,480 Speaker 6: I'm hearing good news from people I know in the 198 00:10:31,480 --> 00:10:35,160 Speaker 6: industry about quality coming out of Spirit. They've got to 199 00:10:35,160 --> 00:10:38,199 Speaker 6: get rid of that shadow factory. These airplanes already built 200 00:10:38,240 --> 00:10:40,600 Speaker 6: sitting on the tarmac that they're maintaining. 201 00:10:41,559 --> 00:10:43,480 Speaker 7: You know, that's just a huge dragon expenses. 202 00:10:43,520 --> 00:10:46,160 Speaker 6: They got to get them delivered out to customers, sold 203 00:10:46,200 --> 00:10:49,040 Speaker 6: off to new customers, and it's all about in the 204 00:10:49,120 --> 00:10:52,720 Speaker 6: back half of the year building more airplanes in the factory. 205 00:10:52,760 --> 00:10:55,520 Speaker 6: We've been watching it in the first quarter of the year. 206 00:10:55,559 --> 00:10:58,560 Speaker 6: I think they're getting about twenty twenty five through the 207 00:10:58,600 --> 00:11:02,280 Speaker 6: factory every month to keep building on that cadence. That's 208 00:11:02,320 --> 00:11:05,480 Speaker 6: going to generate the cash and the profitability they need. 209 00:11:05,720 --> 00:11:08,120 Speaker 7: And oh, by the way, they added. 210 00:11:07,880 --> 00:11:11,720 Speaker 6: Twenty six billion dollars to inventory since I think twenty 211 00:11:11,840 --> 00:11:15,480 Speaker 6: eighteen we have it and support at some five hundred 212 00:11:15,960 --> 00:11:19,559 Speaker 6: equivalent to five hundred and seven thirty sevens. As they 213 00:11:19,600 --> 00:11:23,440 Speaker 6: start building from the inventory on hand, their cash generation 214 00:11:23,640 --> 00:11:26,640 Speaker 6: is going to be supercharged. They could have a really 215 00:11:26,760 --> 00:11:28,760 Speaker 6: nice back half of twenty twenty five. 216 00:11:29,120 --> 00:11:32,160 Speaker 2: Our thanks to George ferguson Bloomberg Intelligence, senior Aerospace, Defense 217 00:11:32,200 --> 00:11:33,199 Speaker 2: and Airlines analysts. 218 00:11:33,280 --> 00:11:36,040 Speaker 3: Coming up, we'll break down why Elliott Investment Management is 219 00:11:36,080 --> 00:11:39,240 Speaker 3: said to be building a stake in Hewlett Packard Enterprise. 220 00:11:39,480 --> 00:11:42,160 Speaker 2: You're listening to Bloomberg Intelligence on Bloomberg Radio, providing in 221 00:11:42,240 --> 00:11:44,520 Speaker 2: debt research and data on two thousand companies and one 222 00:11:44,559 --> 00:11:47,439 Speaker 2: hundred and thirty industries. You can access Bloomberg Intelligence via 223 00:11:47,480 --> 00:11:48,440 Speaker 2: Bigo on the terminal. 224 00:11:48,440 --> 00:11:51,160 Speaker 3: I'm Paul Sweeney and I'm normal Linda. This is Bloomberg. 225 00:11:56,240 --> 00:11:59,880 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 226 00:12:00,080 --> 00:12:02,720 Speaker 1: weekdays at ten am. He's done on Apple, Coarclay and 227 00:12:02,720 --> 00:12:06,000 Speaker 1: Android Otto with the Bloomberg Business App. Listen on demand 228 00:12:06,080 --> 00:12:10,040 Speaker 1: wherever you get your podcasts, or watch us live on YouTube. 229 00:12:10,480 --> 00:12:12,720 Speaker 3: I'm Paul Sweeney and I'm Normal Linda filling it for 230 00:12:12,760 --> 00:12:15,760 Speaker 3: Alex Biel. We moved next to the luxury sector this week. 231 00:12:15,920 --> 00:12:18,960 Speaker 2: LVMA shares dropped after the luxury group published weaker than 232 00:12:19,000 --> 00:12:20,160 Speaker 2: expected quarterly sales. 233 00:12:20,400 --> 00:12:22,600 Speaker 3: The company was weighed down by sluggish demand for high 234 00:12:22,640 --> 00:12:25,280 Speaker 3: end goods in China and the US and an escalating 235 00:12:25,320 --> 00:12:25,800 Speaker 3: trade war. 236 00:12:26,160 --> 00:12:28,280 Speaker 2: For more, Nora and I were joined by Debora Aik 237 00:12:28,360 --> 00:12:30,320 Speaker 2: and Bloomberg Intelligence luxury goods analyst. 238 00:12:30,520 --> 00:12:33,200 Speaker 3: We first asked deb what she took away from LVMH's 239 00:12:33,360 --> 00:12:34,400 Speaker 3: most recent results. 240 00:12:34,720 --> 00:12:37,600 Speaker 8: Fashion and Leather goods is fifty percent of their sales, 241 00:12:37,679 --> 00:12:41,240 Speaker 8: so actually this is a key one organic sales growth 242 00:12:41,280 --> 00:12:44,719 Speaker 8: figure only, not yearnings. And we saw with Fashion and 243 00:12:44,800 --> 00:12:47,960 Speaker 8: Leather it was down five the marketed expected down half. 244 00:12:48,400 --> 00:12:50,600 Speaker 8: And what we saw behind that the US is holding 245 00:12:50,640 --> 00:12:53,480 Speaker 8: o poque social Europe, but where they did a big 246 00:12:53,559 --> 00:12:56,920 Speaker 8: chunk of their business last year from tourism shifting across 247 00:12:56,960 --> 00:13:00,160 Speaker 8: from China to Japan. That's now dried up against two 248 00:13:00,240 --> 00:13:03,880 Speaker 8: years of big numbers, and the big thing is that 249 00:13:03,920 --> 00:13:07,199 Speaker 8: it hasn't repatriated back to the mainland. So that was 250 00:13:07,280 --> 00:13:11,240 Speaker 8: one side. Another side for them would be if we 251 00:13:11,320 --> 00:13:16,319 Speaker 8: think about the wines and Spirits division, which houses their cognacs, 252 00:13:16,559 --> 00:13:20,400 Speaker 8: that's still very tough in the US and also in China, 253 00:13:20,960 --> 00:13:23,800 Speaker 8: and then Sephara was a big growth driver last year 254 00:13:23,800 --> 00:13:26,120 Speaker 8: for them in the US that's kind of fallen away 255 00:13:26,160 --> 00:13:27,560 Speaker 8: a little bit on the big comps. 256 00:13:27,960 --> 00:13:30,800 Speaker 3: So of course we know weakness in sales in China 257 00:13:30,840 --> 00:13:33,120 Speaker 3: has really been an overhang for LVMH and just the 258 00:13:33,160 --> 00:13:36,959 Speaker 3: broader luxury industry. But the EU expects US tariffs to 259 00:13:37,000 --> 00:13:40,680 Speaker 3: remain as talks make little progress. So that being said, 260 00:13:40,760 --> 00:13:44,199 Speaker 3: how are a lot of these luxury companies really thinking 261 00:13:44,240 --> 00:13:46,959 Speaker 3: about this tear iff environment and the uncertainty there as 262 00:13:47,000 --> 00:13:48,800 Speaker 3: it thinks about the US consumer. 263 00:13:49,400 --> 00:13:52,600 Speaker 8: We've done certainly a lot of our own work on 264 00:13:52,800 --> 00:13:56,520 Speaker 8: Excel dug deep gone through all of the different factors, 265 00:13:56,920 --> 00:13:59,640 Speaker 8: and we can see when we look at these companies 266 00:14:00,280 --> 00:14:02,800 Speaker 8: a range of maybe two to eight percent or in 267 00:14:02,920 --> 00:14:07,599 Speaker 8: terms of needing price rise. So the highest end companies 268 00:14:07,679 --> 00:14:12,040 Speaker 8: have the biggest margin, so therefore costs are lower and 269 00:14:12,120 --> 00:14:16,080 Speaker 8: generally they're operating out of Europe, and so that means 270 00:14:16,120 --> 00:14:18,760 Speaker 8: that they would need to price probably low to mid 271 00:14:18,800 --> 00:14:22,040 Speaker 8: single digit to cover that, given that currently across Europe 272 00:14:22,120 --> 00:14:24,840 Speaker 8: we have a ten percent power of risk hike. 273 00:14:25,400 --> 00:14:26,040 Speaker 9: Of course that. 274 00:14:26,000 --> 00:14:29,000 Speaker 8: Could change, but you know it's going to be difficult 275 00:14:29,040 --> 00:14:31,600 Speaker 8: because the last three years we've seen price hikes of 276 00:14:31,680 --> 00:14:35,960 Speaker 8: twenty five percent, so since we've had a pandemic recovery, 277 00:14:36,280 --> 00:14:38,960 Speaker 8: so there really are running off a very high base 278 00:14:39,040 --> 00:14:41,000 Speaker 8: on the price in they're going to have to really 279 00:14:41,400 --> 00:14:44,440 Speaker 8: determine what they do in terms of more manufacturing over 280 00:14:44,440 --> 00:14:47,200 Speaker 8: there where they can so for mid range for some 281 00:14:47,280 --> 00:14:51,120 Speaker 8: of elv Matre's fashion and leather goods, we think around 282 00:14:51,160 --> 00:14:54,240 Speaker 8: a third of their US is covered in terms of 283 00:14:54,400 --> 00:14:57,440 Speaker 8: US sales versus production. But there's a long way to go, 284 00:14:57,880 --> 00:15:00,320 Speaker 8: and it can't be done quickly because you need really 285 00:15:00,320 --> 00:15:04,120 Speaker 8: good artisans and to be training in labor, and that's 286 00:15:04,160 --> 00:15:06,480 Speaker 8: one of the biggest issues for these companies. 287 00:15:06,920 --> 00:15:10,400 Speaker 2: I'm looking at the PGeo function on the Bloomberg terminine. 288 00:15:10,440 --> 00:15:13,320 Speaker 2: I see that Asia excluding Japan picks up about twenty 289 00:15:13,320 --> 00:15:17,480 Speaker 2: seven percent of LVMH's business. So it's material. What are 290 00:15:17,480 --> 00:15:19,920 Speaker 2: they saying about China. Is this a market that they 291 00:15:19,960 --> 00:15:24,080 Speaker 2: can depend upon being a growth driver going forward or not? 292 00:15:24,360 --> 00:15:27,080 Speaker 2: Because it's I know just from reading your work and 293 00:15:27,160 --> 00:15:30,000 Speaker 2: talking to you in the past, China's really a lynchpin 294 00:15:30,240 --> 00:15:31,560 Speaker 2: for global luxury. 295 00:15:31,840 --> 00:15:32,160 Speaker 7: Yeah. 296 00:15:32,440 --> 00:15:35,560 Speaker 8: I mean the big thing and the big hit over 297 00:15:35,600 --> 00:15:38,520 Speaker 8: the last quarter really in these share prices has been 298 00:15:38,920 --> 00:15:42,000 Speaker 8: that second half of last year we saw the US 299 00:15:42,040 --> 00:15:45,320 Speaker 8: really start to improve, and that was offering a bit 300 00:15:45,360 --> 00:15:48,360 Speaker 8: of a lifeline until we could start to see China, 301 00:15:48,400 --> 00:15:51,480 Speaker 8: hopefully by the second half this year improve that or 302 00:15:51,520 --> 00:15:55,800 Speaker 8: that changes, the mindset changes, the consumer sentiment changes, and 303 00:15:55,840 --> 00:15:58,080 Speaker 8: so yes, for the long term, there's still a lot 304 00:15:58,120 --> 00:16:00,160 Speaker 8: to do for all these companies in each of then 305 00:16:00,240 --> 00:16:03,080 Speaker 8: we'll say they still pin their hopes on China for 306 00:16:03,120 --> 00:16:07,160 Speaker 8: the long term, more infrastructure into the marketplace, owning the 307 00:16:07,200 --> 00:16:10,400 Speaker 8: consumer more over there. But certainly in the short term 308 00:16:10,440 --> 00:16:13,200 Speaker 8: and in the year ahead, the Cummuch uncertainty, and I 309 00:16:13,240 --> 00:16:16,800 Speaker 8: really think that that hits hard on consumer sentiment, not 310 00:16:16,840 --> 00:16:20,200 Speaker 8: only in the US, but also and particularly in China. 311 00:16:20,880 --> 00:16:23,400 Speaker 8: Another one we saw was biased off with Nivre in 312 00:16:23,440 --> 00:16:26,160 Speaker 8: the very high end LA Prairie came out, and I'm 313 00:16:26,200 --> 00:16:28,600 Speaker 8: just trying to get a feel of how beauty is 314 00:16:28,640 --> 00:16:31,600 Speaker 8: doing over there, and the view there is that they've 315 00:16:31,600 --> 00:16:35,280 Speaker 8: had to clean up China even more on their Laprairie brand, 316 00:16:35,320 --> 00:16:38,400 Speaker 8: which is very high end skin care, and they're having 317 00:16:38,480 --> 00:16:41,800 Speaker 8: to actually also think about Nivia and rebrand and to 318 00:16:41,880 --> 00:16:45,920 Speaker 8: at least the premium level. So there's more price volatility 319 00:16:46,760 --> 00:16:49,440 Speaker 8: in the market and that's already starting to creep up 320 00:16:49,440 --> 00:16:50,320 Speaker 8: in China. 321 00:16:50,400 --> 00:16:53,760 Speaker 2: Thanks to Debek and Bloomberg Intelligence luxury goods analysts. 322 00:16:53,800 --> 00:16:56,120 Speaker 3: This week, we focus on a Bloomberg Big Take story 323 00:16:56,160 --> 00:16:58,880 Speaker 3: titled GM and It's eight year, thirty five billion dollar 324 00:16:59,000 --> 00:17:02,040 Speaker 3: EV bet brace for tariff head. You can find that 325 00:17:02,160 --> 00:17:04,600 Speaker 3: on Bloomberg dot com. And the terminal. 326 00:17:04,440 --> 00:17:06,600 Speaker 2: Story looks at how General Motors has to figure out 327 00:17:06,640 --> 00:17:09,320 Speaker 2: how to sell cars in Donald Trump's America after spending 328 00:17:09,359 --> 00:17:11,920 Speaker 2: about thirty five billion dollars on its EV transition. 329 00:17:12,280 --> 00:17:14,720 Speaker 3: For more, Paul and I will join by David Welch, 330 00:17:14,800 --> 00:17:16,320 Speaker 3: Bloomberg Detroit BUREA Chief. 331 00:17:16,320 --> 00:17:18,479 Speaker 2: We first asked David to break down why times are 332 00:17:18,520 --> 00:17:19,679 Speaker 2: tough right now at GM. 333 00:17:19,960 --> 00:17:23,159 Speaker 10: If you look at Trump's policies, they're pretty tough on 334 00:17:23,200 --> 00:17:24,919 Speaker 10: all the car companies, right, I mean, you've got this 335 00:17:25,000 --> 00:17:27,680 Speaker 10: tariff regime out there that still hasn't been sorted out. 336 00:17:28,000 --> 00:17:31,560 Speaker 10: Trump has indicated that he might have some leniency in 337 00:17:31,600 --> 00:17:34,720 Speaker 10: the offering for car companies. But they've built up the 338 00:17:34,760 --> 00:17:38,960 Speaker 10: supply chain and assembly in the US, Canada, Mexico and 339 00:17:39,000 --> 00:17:43,160 Speaker 10: other places for decades now. They have made more investments 340 00:17:43,200 --> 00:17:46,840 Speaker 10: based on USMCA, which was a Trump trade deal, and 341 00:17:46,920 --> 00:17:49,280 Speaker 10: now that could be upended. GM makes two of its 342 00:17:49,320 --> 00:17:52,760 Speaker 10: evs in Mexico. It's two of its cheapest ones, the 343 00:17:52,840 --> 00:17:56,040 Speaker 10: Chevy Equinox and Chevy Blazer, and so it makes it 344 00:17:56,080 --> 00:17:59,239 Speaker 10: tough from that standpoint for those two vehicles and some 345 00:17:59,280 --> 00:18:01,040 Speaker 10: of the parts that can in for those vehicles, and 346 00:18:01,040 --> 00:18:04,359 Speaker 10: then generally for GM's business, tariffs are just not a 347 00:18:04,359 --> 00:18:06,919 Speaker 10: good thing. They import vehicles, they import components, all of 348 00:18:06,960 --> 00:18:09,280 Speaker 10: that that makes it tough. Trump has also said he 349 00:18:09,280 --> 00:18:10,840 Speaker 10: hasn't done it yet, but he said that he wants 350 00:18:10,880 --> 00:18:14,560 Speaker 10: to get rid of the Biden era Inflation Reduction Act. 351 00:18:14,640 --> 00:18:17,120 Speaker 10: Those are up to seventy five hundred dollars in tax 352 00:18:17,200 --> 00:18:21,600 Speaker 10: credits for people who buy evs. That makes GM's life difficult. 353 00:18:21,680 --> 00:18:24,160 Speaker 10: With this big investment they have out there. There could 354 00:18:24,160 --> 00:18:26,399 Speaker 10: be relief on this. There are ways to get around it. 355 00:18:26,440 --> 00:18:28,280 Speaker 10: But if you're General Motors and you've got a dozen 356 00:18:28,280 --> 00:18:31,200 Speaker 10: of v's out there and the program on the whole 357 00:18:31,240 --> 00:18:34,840 Speaker 10: loses money. They're improving the profitability, but it does lose money. 358 00:18:35,560 --> 00:18:37,919 Speaker 10: The pressure's really on, as it always has been, but 359 00:18:38,000 --> 00:18:41,200 Speaker 10: even more so with Trump policies to get those vehicles 360 00:18:41,240 --> 00:18:43,880 Speaker 10: to a break even or a profitable level and then 361 00:18:43,920 --> 00:18:45,840 Speaker 10: sell them in big enough numbers where you continue to 362 00:18:45,840 --> 00:18:48,200 Speaker 10: get economies of scale and you can drive the cost down. 363 00:18:48,720 --> 00:18:51,399 Speaker 10: So it's not impossible. They're working hard at it, as 364 00:18:51,440 --> 00:18:53,440 Speaker 10: we have a lot of detail on in the story 365 00:18:53,480 --> 00:18:57,639 Speaker 10: in terms of reducing battery cost, improving efficiency at the 366 00:18:57,640 --> 00:19:00,680 Speaker 10: assembly plan level, that sort of thing. It's hard work 367 00:19:00,800 --> 00:19:03,320 Speaker 10: and EV's this kind of transition was always going to 368 00:19:03,320 --> 00:19:06,240 Speaker 10: be difficult. It is for everybody. But you know, in 369 00:19:06,240 --> 00:19:09,200 Speaker 10: GM's case, they've done some reining in of investment, but 370 00:19:09,240 --> 00:19:12,119 Speaker 10: they've really continued their push and some of their rivals 371 00:19:12,160 --> 00:19:14,760 Speaker 10: have reined it in, pulled back in the face of 372 00:19:14,800 --> 00:19:18,520 Speaker 10: all of this. So GM's sticking with it and they're 373 00:19:18,560 --> 00:19:20,760 Speaker 10: really working hard to make it profitable. 374 00:19:21,200 --> 00:19:23,959 Speaker 3: David, As you said, the pressure is on does CEO 375 00:19:24,040 --> 00:19:26,399 Speaker 3: Mary Barrow really have a dog in this fight to 376 00:19:26,440 --> 00:19:29,280 Speaker 3: electrify GM in the EV space. I mean, of course 377 00:19:29,320 --> 00:19:30,720 Speaker 3: she's trying to get a little bit of a peek 378 00:19:30,760 --> 00:19:34,800 Speaker 3: into Tesla's playbook by hiring some of their veterans from Tesla, 379 00:19:34,960 --> 00:19:36,919 Speaker 3: But do they really have the brand recognition that they 380 00:19:37,000 --> 00:19:39,280 Speaker 3: need to push through on this charge. 381 00:19:39,760 --> 00:19:43,280 Speaker 10: Yeah, that's a tough one. I think what they're trying 382 00:19:43,320 --> 00:19:46,360 Speaker 10: to do here is they're trying to change that right. 383 00:19:46,440 --> 00:19:48,879 Speaker 10: So one thing they'll point out is one they doubled 384 00:19:48,880 --> 00:19:52,800 Speaker 10: their market share in the EV segment EV space in 385 00:19:52,840 --> 00:19:55,920 Speaker 10: the US over the past year, and they did even 386 00:19:55,960 --> 00:19:58,639 Speaker 10: better in the first quarters. They've got some sales momentum, 387 00:19:59,160 --> 00:20:01,200 Speaker 10: and they're doing a on the coast, which is where 388 00:20:01,200 --> 00:20:04,119 Speaker 10: most TV buyers are. But it is it is a 389 00:20:04,160 --> 00:20:07,520 Speaker 10: bit tough when Chevrolet, for example, known for big pickup trucks, 390 00:20:07,560 --> 00:20:12,600 Speaker 10: known for Chevy suburbans, Cadillact known for the Escalade. These 391 00:20:12,600 --> 00:20:16,439 Speaker 10: are pretty thirsty and pretty expensive vehicles. They tend to 392 00:20:16,480 --> 00:20:18,399 Speaker 10: do well in the middle of the country and in 393 00:20:18,400 --> 00:20:21,119 Speaker 10: the South. So for GM, you can see why they 394 00:20:21,119 --> 00:20:24,119 Speaker 10: want to push this right. They've got brands that do 395 00:20:24,240 --> 00:20:27,840 Speaker 10: better in middle America. And if EV's are bought on 396 00:20:27,880 --> 00:20:30,239 Speaker 10: the coast and you can get market share there, why 397 00:20:30,280 --> 00:20:32,240 Speaker 10: wouldn't you push for that? It does bring in a 398 00:20:32,240 --> 00:20:35,400 Speaker 10: different kind of buyer. And I think there's a bit 399 00:20:35,400 --> 00:20:37,840 Speaker 10: of chicken egg and an egg here. Does the brand 400 00:20:37,920 --> 00:20:40,760 Speaker 10: hurt them from selling EV's or does does selling EV's 401 00:20:40,840 --> 00:20:44,120 Speaker 10: help them help get recognition for these brands with people 402 00:20:44,160 --> 00:20:46,840 Speaker 10: who didn't look at them before. And I think that's 403 00:20:46,880 --> 00:20:49,520 Speaker 10: the case they're making and they're having decent sales success, 404 00:20:49,560 --> 00:20:51,280 Speaker 10: so there's a bit of momentum there while they're trying 405 00:20:51,320 --> 00:20:51,680 Speaker 10: to do it. 406 00:20:51,960 --> 00:20:56,520 Speaker 2: David tell us about the Ultium Cells factory outside of Nashville, Tennessee. 407 00:20:57,040 --> 00:21:00,639 Speaker 10: It's very similar to the one in Ohio. Fascinating to 408 00:21:00,640 --> 00:21:04,680 Speaker 10: walk through. These are pretty pretty well automated operations. It's 409 00:21:04,720 --> 00:21:06,480 Speaker 10: not like when you walk into an assembly plant and 410 00:21:06,560 --> 00:21:10,639 Speaker 10: you see workers swinging a i'd say a set of 411 00:21:10,680 --> 00:21:13,760 Speaker 10: seating for the interior over on robotic arms and putting 412 00:21:13,800 --> 00:21:18,040 Speaker 10: that in or bolting engines like they're watching computers. They're 413 00:21:18,040 --> 00:21:22,320 Speaker 10: watching automated machinery that mixes chemicals or puts that chemical 414 00:21:22,440 --> 00:21:26,560 Speaker 10: slurry onto a metallic sheet to make parts of the battery. 415 00:21:26,600 --> 00:21:29,160 Speaker 10: Component's a very different type of thing. If you walk 416 00:21:29,200 --> 00:21:31,880 Speaker 10: through a battery plant, or I should say a cell plant, 417 00:21:32,280 --> 00:21:34,960 Speaker 10: it's kind of more like a like a chemical facility 418 00:21:35,160 --> 00:21:37,880 Speaker 10: than it is like a traditional assembly plant. 419 00:21:38,119 --> 00:21:40,760 Speaker 3: Our thanks to David Walch, Bloomberg Detroit Bureau Chief. 420 00:21:40,920 --> 00:21:43,720 Speaker 2: We move next to news on the IT company, Hewlett 421 00:21:43,760 --> 00:21:44,720 Speaker 2: Packard Enterprises. 422 00:21:44,880 --> 00:21:47,320 Speaker 3: This week, we heard that Elliott Investment Management has built 423 00:21:47,320 --> 00:21:49,680 Speaker 3: a position in HPE worth more than one and a 424 00:21:49,720 --> 00:21:53,000 Speaker 3: half billion dollars. OUR data shows that the investment makes 425 00:21:53,000 --> 00:21:55,800 Speaker 3: Elliott one of the company's top five shareholders. 426 00:21:56,119 --> 00:21:57,760 Speaker 2: For more on this, Nora and I were joined by 427 00:21:57,840 --> 00:21:59,959 Speaker 2: wu Jinho, Bloomberg Intelligence Senior technolo. 428 00:22:00,800 --> 00:22:03,440 Speaker 3: We first asked wujin what this investment by Elliott and 429 00:22:03,640 --> 00:22:05,320 Speaker 3: HPE is all about. 430 00:22:05,600 --> 00:22:09,000 Speaker 11: It looks like Elliott is looking for an opportunity here 431 00:22:09,800 --> 00:22:13,399 Speaker 11: to create a stake in terms of possibly extruction more 432 00:22:13,840 --> 00:22:18,960 Speaker 11: cost actions from HPE, especially when the company is going 433 00:22:19,000 --> 00:22:22,879 Speaker 11: through a down period from an execution standpoint as well 434 00:22:22,920 --> 00:22:25,400 Speaker 11: from a demand perspective as well. 435 00:22:25,720 --> 00:22:28,399 Speaker 3: So what exactly are they really wanting to do here 436 00:22:28,560 --> 00:22:31,199 Speaker 3: through this investment? As an activist investor, what do they 437 00:22:31,240 --> 00:22:31,919 Speaker 3: want to change? 438 00:22:32,200 --> 00:22:34,159 Speaker 11: That's a good question, or I mean look, one of 439 00:22:34,240 --> 00:22:36,320 Speaker 11: the things that I think they're doing is trying to 440 00:22:36,320 --> 00:22:40,879 Speaker 11: extract more cost actions. One of the things that HPE 441 00:22:40,880 --> 00:22:45,360 Speaker 11: did after the execution from the last quarter was cut costs, right, 442 00:22:45,359 --> 00:22:49,879 Speaker 11: They cut about two five hundred to three thousand people. 443 00:22:50,520 --> 00:22:53,040 Speaker 11: That's the plan over the next twelve to eighteen months. 444 00:22:53,200 --> 00:22:55,800 Speaker 11: That's supposed to lower the cost structure by about five 445 00:22:55,880 --> 00:22:58,640 Speaker 11: hundred basis points to have outex sales from twenty four 446 00:22:58,680 --> 00:23:02,119 Speaker 11: percent to about nineteen percent for the year. Now, the 447 00:23:02,200 --> 00:23:04,680 Speaker 11: closest cop would be Dell and Della is running around 448 00:23:04,680 --> 00:23:09,240 Speaker 11: fifteen percent op ex of sales. So I think, you know, 449 00:23:10,440 --> 00:23:12,320 Speaker 11: Elliott is trying to look for a little bit more 450 00:23:12,400 --> 00:23:15,479 Speaker 11: than nineteen percent op ecks of sales to drive up 451 00:23:15,800 --> 00:23:17,240 Speaker 11: the earnings going forward. 452 00:23:17,520 --> 00:23:21,760 Speaker 2: So is this just a cost story from Elliott's perspective 453 00:23:21,880 --> 00:23:25,240 Speaker 2: or is there something Hewlett should be doing they're not 454 00:23:25,440 --> 00:23:27,320 Speaker 2: doing from a revenue perspective. 455 00:23:27,560 --> 00:23:30,000 Speaker 11: Yeah, from a revenue perspective. I mean, if we look 456 00:23:30,040 --> 00:23:32,439 Speaker 11: about if we turn back to last quarter, there was 457 00:23:32,480 --> 00:23:36,479 Speaker 11: a really big execution fall Paul in terms of they 458 00:23:36,560 --> 00:23:40,119 Speaker 11: mispriced their servers. If you're an investor, I mean, how 459 00:23:40,200 --> 00:23:44,399 Speaker 11: does a company miss price servers to really screw up 460 00:23:44,440 --> 00:23:46,960 Speaker 11: the rest of the year from a pricing standpoint and 461 00:23:47,080 --> 00:23:50,160 Speaker 11: from a margin margin standpoint. So, you know, I wouldn't 462 00:23:50,200 --> 00:23:52,600 Speaker 11: be surprised if Elliott is looking for our management change 463 00:23:53,560 --> 00:23:57,040 Speaker 11: as well, because you know, HeLa Packard has lagged what 464 00:23:57,119 --> 00:24:02,040 Speaker 11: Della has done from an AI server perspectives, and they 465 00:24:02,080 --> 00:24:06,440 Speaker 11: really haven't gained material share on the networking side or 466 00:24:06,520 --> 00:24:09,320 Speaker 11: on the storage side against some of their closest comps. 467 00:24:09,880 --> 00:24:13,120 Speaker 3: Well, Elliott has a really successful track record from Salesforce 468 00:24:13,200 --> 00:24:16,879 Speaker 3: to CIS Strict Systems a few others. How are people 469 00:24:16,880 --> 00:24:19,200 Speaker 3: really receiving this right now? Are investors happy? 470 00:24:19,520 --> 00:24:21,520 Speaker 11: You know, some of the calls that I've received initially 471 00:24:21,560 --> 00:24:25,240 Speaker 11: off the print in Aura, is a Juniper deal off 472 00:24:25,240 --> 00:24:27,560 Speaker 11: the table as a result, I don't think so. The 473 00:24:27,600 --> 00:24:29,680 Speaker 11: one thing I will add was that Elliott was a 474 00:24:29,720 --> 00:24:34,040 Speaker 11: stakeholder of Juniper multiple years back, and they did extract 475 00:24:34,320 --> 00:24:37,919 Speaker 11: more dividends from Juniper as part of being a stakeholder. 476 00:24:37,960 --> 00:24:40,119 Speaker 11: They may you know, I wouldn't be surprised if Elliott 477 00:24:40,119 --> 00:24:44,000 Speaker 11: wants a board seat to guide the management going forward. 478 00:24:44,240 --> 00:24:46,399 Speaker 11: But I do think that the HPE Juniper deal is 479 00:24:46,600 --> 00:24:47,280 Speaker 11: still going to be. 480 00:24:47,280 --> 00:24:50,720 Speaker 2: On track thanks to Woo Jino Bloomberg Intelligence Senior Technology 481 00:24:50,760 --> 00:24:52,320 Speaker 2: channelst coming up on the program. 482 00:24:52,400 --> 00:24:54,640 Speaker 3: Well break down how the tech company Intel is now 483 00:24:54,680 --> 00:24:57,400 Speaker 3: making good on its plans to start spinning off non 484 00:24:57,400 --> 00:24:58,120 Speaker 3: core assets. 485 00:24:58,240 --> 00:25:01,000 Speaker 2: You're listening to Bloomberg Intelligence on bloom Berg Radio, providing 486 00:25:01,040 --> 00:25:03,159 Speaker 2: in depth research and data on two thousand companies and 487 00:25:03,200 --> 00:25:06,080 Speaker 2: one hundred and thirty industries. You can access Bloomberg Intelligence 488 00:25:06,160 --> 00:25:08,280 Speaker 2: via b I go on the terminal. I'm Paul Sweeney 489 00:25:08,320 --> 00:25:10,160 Speaker 2: and I'm normal Inda. This is Bloomberg. 490 00:25:18,000 --> 00:25:21,920 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch the program 491 00:25:22,000 --> 00:25:25,040 Speaker 1: live weekdays at ten am Eastern on Apple Cocklay and 492 00:25:25,040 --> 00:25:28,040 Speaker 1: Android Auto with the Bloomberg Business App. You can also 493 00:25:28,160 --> 00:25:31,800 Speaker 1: listen live on Amazon Alexa from our flagship New York station. 494 00:25:32,359 --> 00:25:35,040 Speaker 1: Just say Alexa, play Bloomberg eleven thirty. 495 00:25:36,080 --> 00:25:38,320 Speaker 3: I'm Paul Sweeney and I'm normal Linda filling in for 496 00:25:38,359 --> 00:25:40,639 Speaker 3: Alex Steel. We move next to the tech sector. 497 00:25:41,080 --> 00:25:43,359 Speaker 2: The tech company Intel is now making good on plans 498 00:25:43,359 --> 00:25:46,440 Speaker 2: to start spinning off non core assets. This week, Intel 499 00:25:46,480 --> 00:25:48,560 Speaker 2: agreed to sell a fifty one percent stake in its 500 00:25:48,720 --> 00:25:52,359 Speaker 2: programmable chips unit Alterra to the private equity firm silver 501 00:25:52,520 --> 00:25:53,400 Speaker 2: Lake Management. 502 00:25:53,600 --> 00:25:57,480 Speaker 3: The transaction values Alterra at eight point seventy five billion dollars, 503 00:25:57,720 --> 00:25:59,560 Speaker 3: and that's about half of what Intel paid for a 504 00:25:59,560 --> 00:26:02,000 Speaker 3: decade ago. The deal is expected to close in the 505 00:26:02,040 --> 00:26:03,640 Speaker 3: second half of twenty twenty five. 506 00:26:04,080 --> 00:26:06,320 Speaker 2: For more, guest host Emily Gerfaio and I were joined 507 00:26:06,320 --> 00:26:09,880 Speaker 2: by Mandeep Sing Bloomberg Intelligence senior tech industry analysts. Your 508 00:26:09,880 --> 00:26:12,480 Speaker 2: first asked, Man Deep, what Intel is up to these days? 509 00:26:12,800 --> 00:26:15,560 Speaker 9: Well, they got a new CEO, and I think he's 510 00:26:15,600 --> 00:26:19,560 Speaker 9: making the moves. Everyone was looking forward to what is 511 00:26:19,640 --> 00:26:22,640 Speaker 9: he going to do differently than Pat gel Singer, And 512 00:26:23,840 --> 00:26:27,400 Speaker 9: it looks like he wants to turn around the foundry business. 513 00:26:27,720 --> 00:26:30,719 Speaker 9: And there was one school of thought that thought Intel 514 00:26:30,880 --> 00:26:35,200 Speaker 9: should sell the foundry and focus on chip design like Nvidia. 515 00:26:35,680 --> 00:26:39,720 Speaker 9: But clearly he feels, you know, foundry business can be 516 00:26:39,800 --> 00:26:45,199 Speaker 9: turned around. And so the easy pickings here is raise cash, 517 00:26:45,320 --> 00:26:47,680 Speaker 9: you know, get rid of the non core assets, which 518 00:26:47,720 --> 00:26:50,960 Speaker 9: is al Terra here. So they're selling fifty one percent stake, 519 00:26:51,359 --> 00:26:54,280 Speaker 9: mobilize another business that comes to mind that they could 520 00:26:54,280 --> 00:26:58,520 Speaker 9: sell and look. With a company like Intel, everyone knows 521 00:26:58,560 --> 00:27:02,320 Speaker 9: that you know, you coun'try turn around this company to 522 00:27:02,560 --> 00:27:06,080 Speaker 9: show high growth. It's more about how do you manage 523 00:27:06,119 --> 00:27:08,520 Speaker 9: the company in a way where they're not burning a 524 00:27:08,520 --> 00:27:11,280 Speaker 9: lot of cash as well as they can have you know, 525 00:27:11,400 --> 00:27:13,760 Speaker 9: low to mid single digit growth. And I think that's 526 00:27:13,800 --> 00:27:14,960 Speaker 9: going to be the playbook here. 527 00:27:15,359 --> 00:27:17,840 Speaker 4: So, man, deep is silver Lake getting a good deal 528 00:27:17,880 --> 00:27:19,280 Speaker 4: then with this axe show? 529 00:27:19,320 --> 00:27:22,600 Speaker 9: I mean Intel paid you know, sixteen billion plus ten 530 00:27:22,680 --> 00:27:25,439 Speaker 9: years back, so they held their company for ten years 531 00:27:25,760 --> 00:27:29,000 Speaker 9: and now they're selling at half the price. And look, 532 00:27:29,040 --> 00:27:31,399 Speaker 9: this isn't a high growth asset, which is why it 533 00:27:31,520 --> 00:27:36,040 Speaker 9: was noncore to Intel. But we know Semis isn't that 534 00:27:36,080 --> 00:27:39,040 Speaker 9: sweet part of the cycle where everyone seems to be 535 00:27:39,080 --> 00:27:43,680 Speaker 9: bullish on AI and Semis. And so maybe silver Lake 536 00:27:43,760 --> 00:27:46,119 Speaker 9: can come up with a better way to you know, 537 00:27:46,280 --> 00:27:49,199 Speaker 9: leverage all Terra in that semi space because that's what 538 00:27:49,280 --> 00:27:52,040 Speaker 9: everyone seems to be excited by. How can I play 539 00:27:52,119 --> 00:27:53,879 Speaker 9: in the demand for Semis? 540 00:27:54,040 --> 00:27:55,200 Speaker 2: Why did they solve a whole thing? 541 00:27:56,680 --> 00:28:00,399 Speaker 9: Well, I mean it's a private equity player, so you know, 542 00:28:00,560 --> 00:28:03,159 Speaker 9: they're not going to put a lot of money in 543 00:28:03,240 --> 00:28:06,320 Speaker 9: one asset, and they just wanted fifty one percent so 544 00:28:06,359 --> 00:28:09,119 Speaker 9: that they can run the company. At the same time, 545 00:28:09,359 --> 00:28:12,440 Speaker 9: Intel can benefit if they are able to successfully turn 546 00:28:12,480 --> 00:28:17,760 Speaker 9: it around. And yeah, I think Alterra still needs Intel 547 00:28:17,880 --> 00:28:20,800 Speaker 9: technology to be successful, so it's not as if there's 548 00:28:20,840 --> 00:28:24,320 Speaker 9: a complete decoupling. It just allows Intel to focus more 549 00:28:24,359 --> 00:28:27,679 Speaker 9: on the core business, the foundry and their CPU business, 550 00:28:27,720 --> 00:28:30,359 Speaker 9: as opposed to focusing on Alterra and Mobile IE. I 551 00:28:30,400 --> 00:28:31,280 Speaker 9: think down the. 552 00:28:31,240 --> 00:28:34,320 Speaker 4: Line, should we expect with this new Intel CEO to 553 00:28:34,440 --> 00:28:38,240 Speaker 4: see more news like this Intel selling other parts of 554 00:28:38,240 --> 00:28:38,840 Speaker 4: its business. 555 00:28:39,400 --> 00:28:42,280 Speaker 9: I think so Mobile IE is definitely another one which 556 00:28:42,320 --> 00:28:46,040 Speaker 9: is noncore to Intel, even if they want to double 557 00:28:46,080 --> 00:28:49,600 Speaker 9: down on AI and chip design. Within AI, I mean 558 00:28:49,640 --> 00:28:53,320 Speaker 9: Mobile I is more autonomous driving. And yeah, that also 559 00:28:53,400 --> 00:28:56,880 Speaker 9: came from another acquisition that Intel did back in the day, 560 00:28:57,440 --> 00:28:59,960 Speaker 9: so I hope they don't end up taking a lot 561 00:29:00,200 --> 00:29:04,720 Speaker 9: on that one. But I do think the playbook here 562 00:29:04,800 --> 00:29:07,920 Speaker 9: seems to be that they want to focus on foundry 563 00:29:07,960 --> 00:29:10,480 Speaker 9: and core CPU chip design. 564 00:29:10,920 --> 00:29:13,760 Speaker 2: Foundry that's making chips right. 565 00:29:13,720 --> 00:29:15,680 Speaker 9: Yes, the manufacturing side. 566 00:29:15,800 --> 00:29:16,680 Speaker 2: Now, who else does that? 567 00:29:17,480 --> 00:29:19,920 Speaker 9: Well, we've heard the news around in Vidia, you know, 568 00:29:20,560 --> 00:29:25,400 Speaker 9: using TSMC to make their AI supercomputers here in the US, 569 00:29:25,880 --> 00:29:28,200 Speaker 9: So that's that was quite a bit of news because 570 00:29:28,360 --> 00:29:31,840 Speaker 9: I would have thought TSMC would partner with Intel, and 571 00:29:31,880 --> 00:29:35,400 Speaker 9: there was some rumblings about you know, TSMC doing something 572 00:29:35,440 --> 00:29:38,280 Speaker 9: with Intel, at least here in the US. But it 573 00:29:38,320 --> 00:29:42,320 Speaker 9: looks like Nvidia is thinking about making their next CI 574 00:29:42,480 --> 00:29:46,800 Speaker 9: supercomputer with TSMC. No talk about Intel, and that will 575 00:29:46,840 --> 00:29:47,680 Speaker 9: be here in the US. 576 00:29:47,680 --> 00:29:50,080 Speaker 2: So then I thought there's some deal that there were 577 00:29:50,160 --> 00:29:52,360 Speaker 2: Intel's gonna do a bunch of that stuff. 578 00:29:52,440 --> 00:29:55,280 Speaker 9: Yeah, so that's where there was talk about Intel and 579 00:29:55,360 --> 00:29:58,479 Speaker 9: TSMC partnering. So that was the foundry side of Intel. 580 00:29:58,560 --> 00:30:01,040 Speaker 9: But I don't think that's happening now. 581 00:30:01,120 --> 00:30:04,200 Speaker 2: So the Biden plan with Intel, which was to do 582 00:30:04,280 --> 00:30:07,680 Speaker 2: a big, big deal, big investment, is that's still on 583 00:30:07,760 --> 00:30:07,960 Speaker 2: or No. 584 00:30:08,480 --> 00:30:11,680 Speaker 9: So the chips Act money was given to Intel. It 585 00:30:11,760 --> 00:30:14,880 Speaker 9: was also given to TSMC for the Phoenix fab where 586 00:30:14,920 --> 00:30:19,880 Speaker 9: they will be making this AI supercomputer with Nvidia. But look, 587 00:30:20,200 --> 00:30:22,600 Speaker 9: I think in the case of Intel, the challenge has 588 00:30:22,640 --> 00:30:27,160 Speaker 9: always been why have they not participated in this AI wave? 589 00:30:27,440 --> 00:30:29,840 Speaker 9: And the Chipsack money didn't help over there. 590 00:30:30,280 --> 00:30:34,320 Speaker 3: Our thanks to Mandy seeing Bloomberg Intelligence senior tech industry analysts. 591 00:30:34,400 --> 00:30:36,840 Speaker 2: Staying with the tech sector, we recently learned that tech 592 00:30:36,880 --> 00:30:39,400 Speaker 2: giant Apple has been exempted from one hundred and twenty 593 00:30:39,440 --> 00:30:44,360 Speaker 2: five percent tariffs on goods produced in China. This includes iPhones, iPads, max, 594 00:30:44,480 --> 00:30:46,160 Speaker 2: Apple watches, and air tags. 595 00:30:46,440 --> 00:30:49,000 Speaker 3: Separately, we learned that Apple will begin analyzing data on 596 00:30:49,040 --> 00:30:52,400 Speaker 3: customer's devices in a bid to improve its AI platform. 597 00:30:52,720 --> 00:30:54,800 Speaker 2: For more on this and all things Apple, Nord and 598 00:30:54,840 --> 00:30:57,800 Speaker 2: I were joined by Mark German, Bloomberg News Managing editor 599 00:30:57,840 --> 00:31:00,560 Speaker 2: for Global Consumer Tech. We first asked more how he 600 00:31:00,600 --> 00:31:03,600 Speaker 2: thinks Apple will just the Washington policy moving forward. 601 00:31:03,920 --> 00:31:04,680 Speaker 12: That's a big question. 602 00:31:04,720 --> 00:31:06,480 Speaker 13: We're on a bit of a roller coaster here where 603 00:31:06,480 --> 00:31:10,360 Speaker 13: Apple's constantly needing to think about adjusting, and then how 604 00:31:10,360 --> 00:31:11,959 Speaker 13: are they gonna adjust? And then what happens if they 605 00:31:12,000 --> 00:31:15,280 Speaker 13: adjust and then they have to adjust them a different direction. 606 00:31:16,240 --> 00:31:18,400 Speaker 13: You can really think of Apple as just like the 607 00:31:18,440 --> 00:31:20,719 Speaker 13: biggest ship in the water. Ye, it's gonna take a 608 00:31:20,760 --> 00:31:25,000 Speaker 13: while to move anything. So these adjustments they have to 609 00:31:25,000 --> 00:31:29,000 Speaker 13: be made with precision, right, And so it's really it's 610 00:31:29,040 --> 00:31:31,480 Speaker 13: a sporadic situation. You really don't know what's going to happen. 611 00:31:31,480 --> 00:31:33,320 Speaker 13: But at least for now they're in good shape. But 612 00:31:33,480 --> 00:31:36,000 Speaker 13: who knows a long that's gonna last. But no matter 613 00:31:36,040 --> 00:31:40,880 Speaker 13: what Trump does moving forward, I'd be very surprised if 614 00:31:40,920 --> 00:31:45,000 Speaker 13: this he talks about this sectoral tariff on these types 615 00:31:45,040 --> 00:31:48,160 Speaker 13: of devices, maybe I'm wrong. I just don't think there's 616 00:31:48,160 --> 00:31:49,960 Speaker 13: any way it's gonna be one hundred and forty five percent. 617 00:31:50,160 --> 00:31:52,720 Speaker 13: So either way, you're still at a big improvement. 618 00:31:53,520 --> 00:31:55,760 Speaker 3: Of course, with the tariffs as an added layer of 619 00:31:55,800 --> 00:31:59,440 Speaker 3: a headwind for the company, they're not stockpiling, and so 620 00:31:59,520 --> 00:32:02,360 Speaker 3: we're seeing them increasing shipments and everything. But it seems 621 00:32:02,360 --> 00:32:05,800 Speaker 3: as though this isn't necessarily due to more demand, but 622 00:32:05,800 --> 00:32:07,240 Speaker 3: more or less the fact that they're just trying to 623 00:32:07,240 --> 00:32:09,840 Speaker 3: prepare for the worst. Is that the case, Yeah. 624 00:32:09,640 --> 00:32:11,840 Speaker 13: That's right, trying to get as many phones as no 625 00:32:11,960 --> 00:32:14,600 Speaker 13: tariffs or at low tariffs as possible, whether it's from 626 00:32:14,680 --> 00:32:17,240 Speaker 13: China during this period right now with no tariff, whether 627 00:32:17,280 --> 00:32:20,080 Speaker 13: it's from India at this period with the lower tariff, 628 00:32:20,160 --> 00:32:22,280 Speaker 13: get as many as you can into the US channel 629 00:32:22,520 --> 00:32:25,040 Speaker 13: to fulfill demand. The problem is that we're about to 630 00:32:25,080 --> 00:32:27,240 Speaker 13: go through a product transition, right They're about to move 631 00:32:27,240 --> 00:32:28,280 Speaker 13: to the iPhone seventeen. 632 00:32:28,320 --> 00:32:29,720 Speaker 7: So the question just got the sixteen. 633 00:32:29,920 --> 00:32:31,400 Speaker 3: I'm behind, That's fine. 634 00:32:31,800 --> 00:32:34,040 Speaker 13: The point we're trying to make here, yes, yes you 635 00:32:34,080 --> 00:32:37,640 Speaker 13: are behind. You're also behind, right, But the point you're 636 00:32:37,680 --> 00:32:40,880 Speaker 13: trying I'm trying to make here is that these iPhone 637 00:32:40,920 --> 00:32:42,920 Speaker 13: seventeens are not ready to be pumped out. So the 638 00:32:43,000 --> 00:32:46,080 Speaker 13: question is what is the terariff situation going to be 639 00:32:46,480 --> 00:32:49,080 Speaker 13: in September October when these things are flying off the 640 00:32:49,120 --> 00:32:51,680 Speaker 13: manufacturing lines. Where are these going to come from? So 641 00:32:51,760 --> 00:32:54,440 Speaker 13: at this point it's so difficult to figure out what's 642 00:32:54,480 --> 00:32:55,200 Speaker 13: going to happen. 643 00:32:55,440 --> 00:32:56,440 Speaker 12: What do they need to do? 644 00:32:57,560 --> 00:33:02,520 Speaker 2: In reality? I can't imagine and China not being an 645 00:33:02,560 --> 00:33:05,720 Speaker 2: integral part of Apple in the next five years. I 646 00:33:05,760 --> 00:33:07,680 Speaker 2: mean it has to, right, you can't switch. 647 00:33:07,840 --> 00:33:12,480 Speaker 13: Nothing's changing. Well that's not true. Things are changing, but 648 00:33:12,560 --> 00:33:15,680 Speaker 13: China's not going away. Yeah, right, don't forget that the 649 00:33:15,840 --> 00:33:19,280 Speaker 13: US makes up about what a third of Apple's overall sales. 650 00:33:19,320 --> 00:33:21,800 Speaker 13: You've still got two thirds of the world that's going 651 00:33:21,840 --> 00:33:24,320 Speaker 13: to rely on this China supply chain. China's critical for 652 00:33:24,400 --> 00:33:25,080 Speaker 13: rest of the world. 653 00:33:26,160 --> 00:33:29,240 Speaker 3: So how's Apple doing in the AI game right now? 654 00:33:29,360 --> 00:33:32,360 Speaker 3: I mean, so, I know we have iOS what's going 655 00:33:32,400 --> 00:33:34,200 Speaker 3: on there? I know we have iOS eighteen point five 656 00:33:34,320 --> 00:33:35,920 Speaker 3: or something coming soon that's coming. 657 00:33:35,960 --> 00:33:38,680 Speaker 13: But Apple AI is not doing so hot. They've just 658 00:33:38,760 --> 00:33:42,880 Speaker 13: replaced the person in charge of Siri, right, They're pulling 659 00:33:42,920 --> 00:33:45,560 Speaker 13: any lever they can. One of the issues with Apple 660 00:33:45,600 --> 00:33:49,520 Speaker 13: Intelligence is that their privacy stance has prevented them from 661 00:33:49,520 --> 00:33:52,560 Speaker 13: gathering as much data possible in order to train their 662 00:33:52,560 --> 00:33:54,880 Speaker 13: AI models. To get AI models working, probably you have 663 00:33:54,920 --> 00:33:57,160 Speaker 13: to train them with data, right, and the best data 664 00:33:57,200 --> 00:33:59,200 Speaker 13: you can get is the data that your customers are 665 00:33:59,240 --> 00:34:02,280 Speaker 13: in putting into their iPhones. They don't do that. Open 666 00:34:02,320 --> 00:34:04,760 Speaker 13: AI does it. Google does it. That's why their tools 667 00:34:04,760 --> 00:34:07,320 Speaker 13: are so great. What Apple is doing now is they're 668 00:34:07,400 --> 00:34:10,160 Speaker 13: putting in this new privacy centric approach where they're going 669 00:34:10,200 --> 00:34:13,080 Speaker 13: to take your data on your phone, analyze it on 670 00:34:13,200 --> 00:34:15,680 Speaker 13: the phone, compare it to the fake data. 671 00:34:16,120 --> 00:34:17,480 Speaker 12: Right. They use fake data that. 672 00:34:17,440 --> 00:34:20,120 Speaker 13: They just create out of thin air while using AI, 673 00:34:21,360 --> 00:34:23,839 Speaker 13: compare it so they know which fake data is most 674 00:34:23,880 --> 00:34:26,040 Speaker 13: similar to the real data, and then they'll use that 675 00:34:26,520 --> 00:34:28,000 Speaker 13: best of the bunch fake data. 676 00:34:27,800 --> 00:34:30,440 Speaker 12: To train their AI model. So you're seeing. 677 00:34:30,120 --> 00:34:33,759 Speaker 13: These it is it is complicated, hard to wrap your 678 00:34:33,800 --> 00:34:36,560 Speaker 13: head around, and so they're basically pulling every lever they can. 679 00:34:37,719 --> 00:34:40,360 Speaker 2: Now we've said in the past, Apple doesn't need to 680 00:34:40,400 --> 00:34:44,719 Speaker 2: be first in things because they just need to wake 681 00:34:44,760 --> 00:34:46,799 Speaker 2: to the technologies kind of out there and then they're 682 00:34:46,840 --> 00:34:49,400 Speaker 2: going to come in and make it beautiful. Is that 683 00:34:49,440 --> 00:34:50,360 Speaker 2: still hold for AI. 684 00:34:52,239 --> 00:34:58,320 Speaker 13: That's the problem usual playbook. You're right, don't be first, 685 00:34:58,680 --> 00:35:03,200 Speaker 13: be the best. Well, they're certainly not first, and they're 686 00:35:03,200 --> 00:35:06,240 Speaker 13: probably the worst. Wow of all the big tech names. 687 00:35:07,040 --> 00:35:08,840 Speaker 13: They are the worst in AI of all the. 688 00:35:08,800 --> 00:35:12,520 Speaker 2: Big tech How concerned, Copertino, I mean it's extremely concerning. 689 00:35:12,760 --> 00:35:15,320 Speaker 13: They were going to have the head of AI retire. 690 00:35:15,760 --> 00:35:19,200 Speaker 13: Perhaps he's not going anywhere. They just replaced him on Siri. 691 00:35:20,120 --> 00:35:22,719 Speaker 13: There is certainly a lot of work and accountability that 692 00:35:22,800 --> 00:35:24,879 Speaker 13: needs to be done there, And the question is how 693 00:35:24,880 --> 00:35:27,120 Speaker 13: long is it going to take till you have something compelling? 694 00:35:27,160 --> 00:35:29,040 Speaker 13: And I do think it's going to be at least 695 00:35:29,040 --> 00:35:32,400 Speaker 13: a few years. But don't forget AI is not the phone. 696 00:35:32,440 --> 00:35:36,759 Speaker 13: The phone moved fast, but there was new innovation in 697 00:35:36,800 --> 00:35:39,600 Speaker 13: the phone. Maybe you know every year every couple of 698 00:35:39,640 --> 00:35:42,800 Speaker 13: years AI, you're getting a new deep Seek every three weeks. 699 00:35:43,960 --> 00:35:45,000 Speaker 12: There could be a big. 700 00:35:44,840 --> 00:35:49,000 Speaker 13: AI innovation announced tomorrow. In fact, I think Open Ai 701 00:35:49,160 --> 00:35:52,560 Speaker 13: just rolled something out Chat GPT four Dot one model 702 00:35:52,560 --> 00:35:55,719 Speaker 13: the other day or yesterday. And so the speed at 703 00:35:55,719 --> 00:35:59,239 Speaker 13: this that this moves at is what's really concerning, because 704 00:35:59,280 --> 00:36:00,760 Speaker 13: Apple just doesn't move at that speed. 705 00:36:00,760 --> 00:36:04,080 Speaker 12: They're not built to operate at the speed of the break. 706 00:36:06,239 --> 00:36:08,680 Speaker 13: I think they can, but that would also require a 707 00:36:08,680 --> 00:36:12,480 Speaker 13: big c change because Apple is historically bad at integrating 708 00:36:12,560 --> 00:36:17,000 Speaker 13: larger companies into their overall operational workforce. And so it's 709 00:36:17,040 --> 00:36:19,120 Speaker 13: like you take a step back and you ask yourself, 710 00:36:19,440 --> 00:36:22,040 Speaker 13: what is Apple really good at. They're good at the phone, 711 00:36:22,080 --> 00:36:23,880 Speaker 13: They're good at the iPad, they're good at the watch, 712 00:36:23,920 --> 00:36:27,000 Speaker 13: They're good at health stuff, They're good at core. 713 00:36:27,000 --> 00:36:28,120 Speaker 12: On device software. 714 00:36:29,160 --> 00:36:31,920 Speaker 13: Not really good at cloud though they have some excellent 715 00:36:32,440 --> 00:36:35,440 Speaker 13: cloud based services at this point, not really good at AI. 716 00:36:35,600 --> 00:36:36,360 Speaker 12: They're getting good. 717 00:36:36,200 --> 00:36:39,200 Speaker 13: At TV from you know what I hear from people 718 00:36:39,239 --> 00:36:44,719 Speaker 13: who like their shows. But they're just a company at 719 00:36:44,719 --> 00:36:50,640 Speaker 13: this point that's running based on legacy ideals and they 720 00:36:50,680 --> 00:36:54,319 Speaker 13: need a bit of modernization. And the question is is 721 00:36:54,360 --> 00:36:56,879 Speaker 13: that going to happen. Don't forget this company is run 722 00:36:56,920 --> 00:36:58,520 Speaker 13: by the same group of people. 723 00:36:58,239 --> 00:37:00,480 Speaker 2: Who's just as does Tim Cooks still have the support 724 00:37:00,520 --> 00:37:01,640 Speaker 2: of the street and of the board. 725 00:37:01,800 --> 00:37:04,600 Speaker 13: Oh yeah's you know, Tim cook wouldn't write his own ticket, 726 00:37:04,680 --> 00:37:08,439 Speaker 13: There's no question there. They're down nineteen percent this year, right, 727 00:37:08,520 --> 00:37:13,160 Speaker 13: but look how much they're up over the last fifteen years. 728 00:37:13,480 --> 00:37:17,560 Speaker 13: What he's done is amazing, you know, everyone counted him 729 00:37:17,560 --> 00:37:19,200 Speaker 13: out after Steve Jaws passed away. 730 00:37:19,560 --> 00:37:20,640 Speaker 12: Right, Steve Jaws is. 731 00:37:20,640 --> 00:37:23,560 Speaker 13: A one of one innovator in mind and this type 732 00:37:23,600 --> 00:37:26,319 Speaker 13: of thing, and it would have been very easy and 733 00:37:26,360 --> 00:37:30,080 Speaker 13: not surprising, if you know, Apple not folded up shot, 734 00:37:30,200 --> 00:37:34,200 Speaker 13: but really moved away from what they were, And in 735 00:37:34,239 --> 00:37:37,080 Speaker 13: many respects they have moved away, but at the same. 736 00:37:36,880 --> 00:37:38,799 Speaker 12: Time they've grown so much. 737 00:37:40,080 --> 00:37:41,879 Speaker 13: The way Apple's at the center of all our lives 738 00:37:41,960 --> 00:37:44,279 Speaker 13: today was not the way they were at the center 739 00:37:44,280 --> 00:37:46,319 Speaker 13: of our lives ten years ago. They were not at 740 00:37:46,360 --> 00:37:47,720 Speaker 13: the center of the universe. 741 00:37:47,320 --> 00:37:48,000 Speaker 12: A decade ago. 742 00:37:48,280 --> 00:37:51,040 Speaker 13: They're at the center of the center of the universe today. 743 00:37:50,760 --> 00:37:52,239 Speaker 12: Because Steve Jobs left them with a lot. 744 00:37:52,160 --> 00:37:55,480 Speaker 13: Of momentum and Tim Cook executed better than anyone else 745 00:37:55,520 --> 00:37:56,799 Speaker 13: would have been able to execute. 746 00:37:57,040 --> 00:37:59,640 Speaker 3: Our Thanks to Mark German Bloomberg News, a managing editor 747 00:37:59,640 --> 00:38:00,919 Speaker 3: for Gloeble Consumer Tech. 748 00:38:01,440 --> 00:38:06,160 Speaker 1: This is the Bloomberg Intelligence podcast, available on Apple, Spotify, 749 00:38:06,320 --> 00:38:09,799 Speaker 1: and anywhere else you get your podcasts. Listen live each 750 00:38:09,840 --> 00:38:13,600 Speaker 1: weekday ten am to noon Eastern on Bloomberg dot Com, 751 00:38:13,719 --> 00:38:17,240 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business app. 752 00:38:17,680 --> 00:38:20,560 Speaker 1: You can also watch us live every weekday on YouTube 753 00:38:21,000 --> 00:38:23,240 Speaker 1: and always on the Bloomberg terminal,