1 00:00:02,720 --> 00:00:10,600 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, Cocklay and Android Auto with the Bloomberg 4 00:00:17,920 --> 00:00:21,040 Speaker 1: Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,360 --> 00:00:23,520 Speaker 1: or watch us live on YouTube. 6 00:00:23,960 --> 00:00:26,880 Speaker 2: Getting back to Earth here, but we're still talking to 7 00:00:26,880 --> 00:00:30,760 Speaker 2: elon Musk. Tesla had some numbers come out that were, 8 00:00:30,800 --> 00:00:34,360 Speaker 2: in terms of deliveries a little bit disappointing. But I 9 00:00:34,360 --> 00:00:36,680 Speaker 2: guess I'm like a lot of people like, are. 10 00:00:36,520 --> 00:00:38,519 Speaker 3: They really a car company or is there something else. 11 00:00:38,360 --> 00:00:41,040 Speaker 2: That's exactly right? So let's go to a car person. 12 00:00:41,360 --> 00:00:45,160 Speaker 2: That would be David Welchi's a Detroit Burrough chief for 13 00:00:45,400 --> 00:00:48,040 Speaker 2: Bloomberg News. He's based in Detroit. Hey, David, talk to 14 00:00:48,120 --> 00:00:51,600 Speaker 2: us about Tesla's delivery numbers here. What did you see 15 00:00:51,920 --> 00:00:53,120 Speaker 2: and what's the company saying. 16 00:00:54,680 --> 00:00:57,800 Speaker 4: Look, it was a disappointing quarter no matter how you located. 17 00:00:58,120 --> 00:01:00,640 Speaker 4: Even though it was up over last year. There's some 18 00:01:00,920 --> 00:01:05,520 Speaker 4: complete there's some complexities there. So they were they greatly disappointed. 19 00:01:05,560 --> 00:01:10,120 Speaker 4: What analysts and investors expected them to sell. It was 20 00:01:10,240 --> 00:01:14,240 Speaker 4: up over last year, So how does that happen? Last year? 21 00:01:14,920 --> 00:01:18,120 Speaker 4: This time there was a backlash against Elon Musk over 22 00:01:18,200 --> 00:01:20,640 Speaker 4: Doge and everything he was doing with the Trump administration, 23 00:01:21,360 --> 00:01:24,200 Speaker 4: so sales had really pulled back from that. If you 24 00:01:24,240 --> 00:01:29,080 Speaker 4: look at this first quarter versus previous years, not twenty 25 00:01:29,160 --> 00:01:32,240 Speaker 4: twenty five, but twenty twenty four, twenty three, it's down 26 00:01:32,319 --> 00:01:36,800 Speaker 4: significantly from there. So Tesla's overall sales globally have just 27 00:01:36,840 --> 00:01:41,800 Speaker 4: been sliding here for quite a while. EV sales are 28 00:01:41,840 --> 00:01:45,400 Speaker 4: down all over the globe. I mean not in every market, 29 00:01:45,480 --> 00:01:48,320 Speaker 4: but the Chinese have pulled back on some of the 30 00:01:48,360 --> 00:01:50,840 Speaker 4: incentives there. Even Bid has seen a couple of tough 31 00:01:50,880 --> 00:01:53,000 Speaker 4: months in terms of sales with some of those government 32 00:01:53,400 --> 00:01:56,640 Speaker 4: based incentives going away. Trump administration got rid of them here. 33 00:01:56,680 --> 00:01:59,040 Speaker 4: That's hurting EV sales here, and that's all they sell. 34 00:01:59,240 --> 00:02:01,440 Speaker 4: They getting rid of the Model S and the Model X. 35 00:02:01,960 --> 00:02:05,320 Speaker 4: And you know, they're the companies trying to pivot toward 36 00:02:05,440 --> 00:02:09,200 Speaker 4: robotics and automated driving, both of which are very big 37 00:02:09,280 --> 00:02:12,880 Speaker 4: challenges to beat in the next few years. It's just 38 00:02:13,000 --> 00:02:16,639 Speaker 4: very difficult to get cars to drive themselves. And the 39 00:02:16,960 --> 00:02:20,120 Speaker 4: methodology Tesla is using is different from everybody's. They're relying 40 00:02:20,160 --> 00:02:23,160 Speaker 4: on their data, So look it's it's going to be 41 00:02:23,200 --> 00:02:25,200 Speaker 4: a tough road ahead, I think for Tesla to really 42 00:02:25,240 --> 00:02:29,120 Speaker 4: turn investor sentiment around, because they're not selling vehicles like 43 00:02:29,160 --> 00:02:31,360 Speaker 4: they used to, and there's there a lot of big 44 00:02:31,440 --> 00:02:34,240 Speaker 4: question marks on the new strategy and the big pivot 45 00:02:34,280 --> 00:02:36,640 Speaker 4: that Elon Musk is making with this company, all right, and. 46 00:02:36,560 --> 00:02:38,160 Speaker 5: That's kind of been the story with Tessa for a 47 00:02:38,200 --> 00:02:40,600 Speaker 5: while now that you know, even though it does still 48 00:02:40,639 --> 00:02:44,880 Speaker 5: sell cars, that that trajectory has gone down, and with 49 00:02:45,000 --> 00:02:48,280 Speaker 5: ev sales slowing overall, what's interesting is with the oil 50 00:02:48,280 --> 00:02:52,480 Speaker 5: prices now elevated, there is more interest among consumers at 51 00:02:52,600 --> 00:02:56,280 Speaker 5: least into looking into examining the prospect of buying an 52 00:02:56,280 --> 00:02:59,680 Speaker 5: evy to save on gas costs. There's another story out today, 53 00:02:59,720 --> 00:03:02,200 Speaker 5: David about Stillantis in talks. 54 00:03:01,919 --> 00:03:04,680 Speaker 3: To make Chinese evs in Canada. 55 00:03:04,840 --> 00:03:07,480 Speaker 5: I thought that the US car makers were staying far 56 00:03:07,560 --> 00:03:09,360 Speaker 5: far away from the Chinese ev makers. 57 00:03:11,360 --> 00:03:13,720 Speaker 4: They are, But then against Dealants is really a European 58 00:03:13,760 --> 00:03:17,400 Speaker 4: company with a big US harm, isn't it? But look 59 00:03:17,400 --> 00:03:21,080 Speaker 4: at Canada relies on the US companies and Toyota largely 60 00:03:21,520 --> 00:03:24,160 Speaker 4: for its auto industry. That's that's you know, it's for 61 00:03:24,400 --> 00:03:27,760 Speaker 4: GMS de Lantis and Toyota UH to a degree, Honda 62 00:03:27,800 --> 00:03:29,960 Speaker 4: that are making a lot of vehicles up there. That's 63 00:03:30,000 --> 00:03:33,520 Speaker 4: where they get you know, they're there their domestic supply 64 00:03:33,600 --> 00:03:37,360 Speaker 4: of cars that aren't imported and facing tariffs now and 65 00:03:38,000 --> 00:03:41,560 Speaker 4: also for employment. And if you're going to have this 66 00:03:41,840 --> 00:03:45,800 Speaker 4: trade tension between the US and Canada UH, which which 67 00:03:45,840 --> 00:03:48,119 Speaker 4: we have had for a while now, and and we're 68 00:03:48,280 --> 00:03:50,440 Speaker 4: unsure of what's going to happen with US mc A. 69 00:03:50,600 --> 00:03:53,480 Speaker 4: There's a lot of talk that you know, maybe Trump 70 00:03:53,480 --> 00:03:56,040 Speaker 4: will cut separate deals with Canada and Mexico, and he's 71 00:03:56,040 --> 00:03:59,200 Speaker 4: been very annoyed with Canada these days. Then Canada has 72 00:03:59,240 --> 00:04:01,640 Speaker 4: to look elsewhere for companies that are going to invest 73 00:04:01,640 --> 00:04:05,120 Speaker 4: in their industrial base and make vehicles there that aren't 74 00:04:05,120 --> 00:04:08,080 Speaker 4: going to be subject to different trade issues. And they're 75 00:04:08,080 --> 00:04:11,960 Speaker 4: increasingly looking to the Chinese, and I think they would 76 00:04:11,960 --> 00:04:17,000 Speaker 4: welcome that. Stoantis's partner, Wheat Motor, I'm sure they'd love 77 00:04:17,040 --> 00:04:19,960 Speaker 4: to get into the Western hemisphere with the hopes that 78 00:04:20,000 --> 00:04:24,600 Speaker 4: one day, if trade tensions between the US and Canada subside, 79 00:04:24,600 --> 00:04:26,520 Speaker 4: they could actually send some of those vehicles into the 80 00:04:26,640 --> 00:04:29,720 Speaker 4: US market And it's not a bad place. These would 81 00:04:29,720 --> 00:04:31,880 Speaker 4: be small plants, but it's not a bad place for 82 00:04:31,920 --> 00:04:35,560 Speaker 4: the Chinese companies to get in, even if they need 83 00:04:35,560 --> 00:04:36,440 Speaker 4: a partner to do it. 84 00:04:37,000 --> 00:04:39,880 Speaker 3: Stay with us. More from Bloomberg Intelligence coming up after this. 85 00:04:43,560 --> 00:04:47,240 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 86 00:04:47,320 --> 00:04:50,400 Speaker 1: weekdays at ten am Eastern on Apple, Coarclay, and Android 87 00:04:50,440 --> 00:04:53,760 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 88 00:04:53,800 --> 00:04:57,760 Speaker 1: you get your podcasts, or watch us live on YouTube. 89 00:04:58,000 --> 00:05:00,640 Speaker 5: When it comes to the drivers in the market, in 90 00:05:00,680 --> 00:05:03,880 Speaker 5: particular the tech part of the market, it's all about 91 00:05:03,880 --> 00:05:05,200 Speaker 5: the hyperscalers and how much. 92 00:05:05,080 --> 00:05:08,280 Speaker 3: Money they plan to spend this year going. 93 00:05:08,040 --> 00:05:13,080 Speaker 5: Forward on AI infrastructure and hyperscalers. We're talking about Alphabet, 94 00:05:13,120 --> 00:05:16,839 Speaker 5: We're talking about Microsoft, We're talking about Meta. Microsoft was 95 00:05:16,880 --> 00:05:18,960 Speaker 5: one of the originals the ogs when it comes to 96 00:05:19,360 --> 00:05:22,359 Speaker 5: building out its AI infrastructure. Brody Ford is one of 97 00:05:22,360 --> 00:05:25,800 Speaker 5: our reporters here at Bloomberg. He covers the technology sector. 98 00:05:26,000 --> 00:05:29,440 Speaker 5: He covers software among other parts of tech, and he 99 00:05:29,480 --> 00:05:32,960 Speaker 5: has a Bloomberg Big Take story on how Microsoft's CFO 100 00:05:33,640 --> 00:05:35,919 Speaker 5: has some AI ambitions that are running up against the 101 00:05:35,960 --> 00:05:38,560 Speaker 5: tech bubble fears and Brody, you kind of write and 102 00:05:39,000 --> 00:05:42,120 Speaker 5: let's take you inside what's going on at Microsoft and 103 00:05:43,000 --> 00:05:46,680 Speaker 5: understand how the CFO amy Hood has made these decisions 104 00:05:46,680 --> 00:05:49,159 Speaker 5: on when to spend, when not to spend, when to 105 00:05:49,200 --> 00:05:50,880 Speaker 5: pull back. You didn't get a chance to speak with 106 00:05:50,920 --> 00:05:53,760 Speaker 5: her because she doesn't talk a lot to the public, 107 00:05:54,320 --> 00:05:56,880 Speaker 5: but you talked, You did a lot of reporting around 108 00:05:57,800 --> 00:05:59,200 Speaker 5: Microsoft with her team. 109 00:05:59,560 --> 00:06:00,320 Speaker 3: What did you learn. 110 00:06:02,080 --> 00:06:05,280 Speaker 6: So why this story is so interesting is Microsoft, as 111 00:06:05,320 --> 00:06:08,680 Speaker 6: you said, is kind of one of the original hyperscalers 112 00:06:08,720 --> 00:06:12,520 Speaker 6: and they're sitting on really a nation state size investment pool. 113 00:06:13,080 --> 00:06:16,320 Speaker 6: And the big question the economy right now is are 114 00:06:16,360 --> 00:06:19,120 Speaker 6: all these data centers going to pay off? Are all 115 00:06:19,120 --> 00:06:22,040 Speaker 6: these tens and hundreds of billions of dollars actually going 116 00:06:22,080 --> 00:06:26,880 Speaker 6: to result in businesses that make margins that are worthwhile? 117 00:06:27,440 --> 00:06:31,680 Speaker 6: And at Microsoft, amy Hood has effectively become all powerful. Right, 118 00:06:31,760 --> 00:06:35,640 Speaker 6: you have a CFO who is making decisions about allocation 119 00:06:35,760 --> 00:06:37,840 Speaker 6: of resources and data centers and who. 120 00:06:37,800 --> 00:06:39,159 Speaker 7: Gets GPUs and where. 121 00:06:39,560 --> 00:06:42,640 Speaker 6: And what we largely found is that she took a 122 00:06:42,640 --> 00:06:45,080 Speaker 6: bit of a skeptical tone over the years. She took 123 00:06:45,120 --> 00:06:47,960 Speaker 6: a bit of an anxious tone, even that there were 124 00:06:48,040 --> 00:06:52,120 Speaker 6: moments where she said, man, we really might be overspending here. 125 00:06:53,960 --> 00:06:57,320 Speaker 2: So she decided to dial back some of that spending. 126 00:06:57,360 --> 00:06:59,840 Speaker 2: Was that a mistake in hindsight, A lot. 127 00:06:59,760 --> 00:07:01,920 Speaker 7: Of peop people would say it was. It was maybe 128 00:07:02,000 --> 00:07:03,680 Speaker 7: about a year year and a half ago. 129 00:07:03,839 --> 00:07:05,920 Speaker 6: She looked at the numbers that folks were giving her 130 00:07:05,920 --> 00:07:09,120 Speaker 6: and she said, Man, I don't believe this demand. I 131 00:07:09,200 --> 00:07:12,000 Speaker 6: questioned this demand, and you know, it's time to hit 132 00:07:12,040 --> 00:07:14,120 Speaker 6: pause on a lot of these data center projects. And 133 00:07:14,160 --> 00:07:15,920 Speaker 6: I don't know if you remember, but when this played 134 00:07:15,920 --> 00:07:19,280 Speaker 6: out in public, it rattled the markets. Everybody saw this as, 135 00:07:19,920 --> 00:07:22,920 Speaker 6: you know, a sign that Microsoft was getting cold feet. 136 00:07:23,160 --> 00:07:26,760 Speaker 6: And you know, we're able today to say that that 137 00:07:26,760 --> 00:07:29,920 Speaker 6: that is what that indicated at that time. Of course, 138 00:07:29,960 --> 00:07:33,880 Speaker 6: today Microsoft is in the position of finding that, golly, 139 00:07:33,920 --> 00:07:37,280 Speaker 6: we can't find enough data center capacity and our business 140 00:07:37,320 --> 00:07:40,120 Speaker 6: is being held back by it. And so it seems 141 00:07:40,160 --> 00:07:44,280 Speaker 6: clear that they undershot their demand projections. And you know, 142 00:07:44,320 --> 00:07:47,960 Speaker 6: we're in a moment right now where industry consensuses spend 143 00:07:48,000 --> 00:07:49,920 Speaker 6: as much as you can, as quick as you can 144 00:07:50,000 --> 00:07:52,679 Speaker 6: on data centers, and I'm sure in six to twelve 145 00:07:52,680 --> 00:07:56,040 Speaker 6: months we'll talk again and the consensus will flip once again. 146 00:07:56,800 --> 00:07:59,960 Speaker 5: And because Microsoft is one of the og hyperscalers. When 147 00:08:00,120 --> 00:08:03,120 Speaker 5: Amy Hood decided to pull back a bit on spending. 148 00:08:03,680 --> 00:08:06,600 Speaker 5: That not only caused questions in the market, but it 149 00:08:06,640 --> 00:08:09,760 Speaker 5: caused other hyperscalers to kind of rethink they're spending as well, 150 00:08:09,800 --> 00:08:10,160 Speaker 5: didn't it. 151 00:08:11,480 --> 00:08:15,080 Speaker 6: Well, I think it actually created an opening in many 152 00:08:15,120 --> 00:08:18,400 Speaker 6: cases a lot of the sites that Microsoft walked away from, 153 00:08:18,480 --> 00:08:22,120 Speaker 6: some of the younger rivals, think the core Weave, the Nebius, 154 00:08:22,160 --> 00:08:23,080 Speaker 6: the n scale. 155 00:08:23,120 --> 00:08:23,720 Speaker 7: They kind of. 156 00:08:23,640 --> 00:08:26,600 Speaker 6: Swooped in and said, Man, we're ready to buy some 157 00:08:26,760 --> 00:08:30,520 Speaker 6: data center capacity here. And I think all this kind 158 00:08:30,520 --> 00:08:34,880 Speaker 6: of shows just how difficult it is right now for 159 00:08:34,960 --> 00:08:38,040 Speaker 6: the big hyperscalers. I mean, you know, they for a 160 00:08:38,080 --> 00:08:41,520 Speaker 6: long time had a business model based around no assets 161 00:08:41,600 --> 00:08:44,720 Speaker 6: around software that hey, if you want to change your plans, 162 00:08:44,800 --> 00:08:47,760 Speaker 6: you really just kind of have to reallocate some coding teams, 163 00:08:47,840 --> 00:08:50,880 Speaker 6: and you know, you don't have these long term fixed 164 00:08:51,000 --> 00:08:55,280 Speaker 6: assets that depreciate over ten fifteen years. And now they're 165 00:08:55,280 --> 00:08:57,480 Speaker 6: in the position of trying to act almost more like 166 00:08:57,520 --> 00:08:59,679 Speaker 6: a Boeing or a ge these kind of old in 167 00:08:59,720 --> 00:09:03,800 Speaker 6: dust real giants, and you know, forecast out demand for 168 00:09:03,880 --> 00:09:07,280 Speaker 6: a technology that's still emerging. It's it's a really tough 169 00:09:07,360 --> 00:09:10,680 Speaker 6: balancing act. And I'd argue that there's nobody out there 170 00:09:10,760 --> 00:09:14,120 Speaker 6: who has more directly on their plate in this than 171 00:09:14,160 --> 00:09:14,680 Speaker 6: Amy Hood. 172 00:09:14,679 --> 00:09:16,200 Speaker 3: Does I like the way you put that. 173 00:09:16,280 --> 00:09:18,880 Speaker 5: They kind of went from it feels like asset light 174 00:09:18,960 --> 00:09:23,160 Speaker 5: to very asset heavy because they now own and oversee 175 00:09:23,200 --> 00:09:27,199 Speaker 5: these big, these big data centers. Does that mean that 176 00:09:27,240 --> 00:09:31,199 Speaker 5: investors eventually will kind of re rate these companies as 177 00:09:31,280 --> 00:09:35,120 Speaker 5: well given what they have on their on their balance sheet. 178 00:09:36,200 --> 00:09:38,400 Speaker 6: I sort of think we're seeing it happen already. I 179 00:09:38,440 --> 00:09:41,560 Speaker 6: mean Microsoft is down, you know, about a loss about 180 00:09:41,559 --> 00:09:43,599 Speaker 6: a quarter of its value over the last year, and 181 00:09:43,640 --> 00:09:45,360 Speaker 6: I think a big part of that is the margin 182 00:09:45,480 --> 00:09:48,920 Speaker 6: story that you know, their margins have been pretty steady, 183 00:09:49,000 --> 00:09:51,520 Speaker 6: but that's only because they've really been cutting in a 184 00:09:51,559 --> 00:09:53,920 Speaker 6: lot of the other parts of the business. Right, we 185 00:09:54,000 --> 00:09:57,600 Speaker 6: write in the story that you know, their cash cow businesses, 186 00:09:57,720 --> 00:10:00,240 Speaker 6: let's call it like a windows, have had had a 187 00:10:00,280 --> 00:10:04,120 Speaker 6: lot of cuts in them because this new AI business 188 00:10:04,160 --> 00:10:07,480 Speaker 6: the margins are so much lower, right, And so you 189 00:10:07,600 --> 00:10:10,320 Speaker 6: had a company that was printing some of the craziest 190 00:10:10,320 --> 00:10:13,520 Speaker 6: margins in the world now renting out servers at a 191 00:10:13,600 --> 00:10:17,120 Speaker 6: much lower margin and having all this, you know, tens 192 00:10:17,120 --> 00:10:19,319 Speaker 6: of billions of dollars of chips on their balance seat. 193 00:10:20,000 --> 00:10:23,880 Speaker 6: It does paint a different picture of a company right 194 00:10:24,000 --> 00:10:26,840 Speaker 6: and the question is are they going to keep spending 195 00:10:26,880 --> 00:10:28,400 Speaker 6: this way in perpetuity? 196 00:10:28,760 --> 00:10:29,840 Speaker 7: Are we in a phase? 197 00:10:30,400 --> 00:10:33,520 Speaker 6: I think that leaders like Amy Hood are really charting 198 00:10:33,559 --> 00:10:36,839 Speaker 6: in new territory and answering all this in real time. 199 00:10:37,400 --> 00:10:39,760 Speaker 2: The stock is down twenty five percent year to date. 200 00:10:39,880 --> 00:10:43,240 Speaker 2: Is Amy Hood feeling any pressure for some of her 201 00:10:43,800 --> 00:10:45,880 Speaker 2: maybe decisions as it released to AI spending. 202 00:10:47,520 --> 00:10:50,000 Speaker 6: Our understanding is a lot of folks in the company 203 00:10:50,000 --> 00:10:53,360 Speaker 6: were not happy with her around the pause last year. 204 00:10:53,520 --> 00:10:56,560 Speaker 6: That said, it wasn't our indicator that you know, hey, 205 00:10:56,600 --> 00:10:58,559 Speaker 6: she's going to get the boot over this or something. 206 00:10:59,559 --> 00:11:02,200 Speaker 7: All that said, she's been in the seat for thirteen years. 207 00:11:02,240 --> 00:11:04,760 Speaker 6: That's a long time for any CFO, and it's our 208 00:11:04,840 --> 00:11:09,520 Speaker 6: understanding that there are starting to be succession conversations. We 209 00:11:09,559 --> 00:11:13,120 Speaker 6: heard some names that were interesting. Chris the CFO over 210 00:11:13,200 --> 00:11:16,480 Speaker 6: at VISA, well regarded figure over there. You know, he's 211 00:11:16,480 --> 00:11:18,319 Speaker 6: a name that comes up a lot because he used 212 00:11:18,320 --> 00:11:21,000 Speaker 6: to be at Microsoft. He knows the business he left 213 00:11:21,000 --> 00:11:23,360 Speaker 6: and kind of gained skills and could be primed for 214 00:11:23,400 --> 00:11:27,080 Speaker 6: a return. There's somebody named Matt McBride, who's kind of 215 00:11:27,080 --> 00:11:29,800 Speaker 6: her internal air apparent, right. I mean, his name will 216 00:11:29,800 --> 00:11:32,640 Speaker 6: certainly be in the ring here, and so I wouldn't 217 00:11:32,640 --> 00:11:34,640 Speaker 6: be surprised if in the next year or two we're 218 00:11:34,640 --> 00:11:38,400 Speaker 6: talking about, you know, the great Microsoft CFO search. But 219 00:11:38,920 --> 00:11:41,280 Speaker 6: at the same time, I don't think it's that, you know, 220 00:11:41,440 --> 00:11:43,800 Speaker 6: she screwed up a decision and now she's getting the. 221 00:11:43,760 --> 00:11:46,680 Speaker 7: Can That's That's not what's happening. Stay with us. 222 00:11:46,840 --> 00:11:49,200 Speaker 3: More from Bloomberg Intelligence coming up after this. 223 00:11:53,040 --> 00:11:56,720 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 224 00:11:56,840 --> 00:11:59,880 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 225 00:12:00,320 --> 00:12:03,400 Speaker 1: with the Bloomberg Business app. Listen on demand wherever you 226 00:12:03,400 --> 00:12:06,400 Speaker 1: get your podcasts, or watch us live on YouTube. 227 00:12:07,080 --> 00:12:08,840 Speaker 2: Let's stay with the tech theme a little bit, but 228 00:12:09,080 --> 00:12:11,160 Speaker 2: we'll go to the credit side of the equation. Why 229 00:12:11,520 --> 00:12:14,480 Speaker 2: because these companies are issuing debt handover fist, which is 230 00:12:14,480 --> 00:12:16,920 Speaker 2: something we haven't really been used to, but that is 231 00:12:16,960 --> 00:12:20,840 Speaker 2: something that is a big theme I think across the 232 00:12:20,840 --> 00:12:22,600 Speaker 2: tech space is kind of how they're funding some of 233 00:12:22,640 --> 00:12:26,240 Speaker 2: this AI. And the best name for us to chat 234 00:12:26,280 --> 00:12:28,280 Speaker 2: with on that story is Robert Schiffman. He is tech 235 00:12:28,280 --> 00:12:31,840 Speaker 2: credit analysts for Bloomberg Intelligence. Let's start with Intel, Rob. 236 00:12:31,880 --> 00:12:33,240 Speaker 2: I mean, I'm just looking at the stock and the 237 00:12:33,280 --> 00:12:36,800 Speaker 2: stock's really turned around, really working from a credit perspective. 238 00:12:36,800 --> 00:12:38,960 Speaker 2: What's the view of Intel, because there we're some concerns. 239 00:12:39,280 --> 00:12:42,400 Speaker 8: Sure, first, happy holidays to all. Unlike Ira, I will 240 00:12:42,400 --> 00:12:44,679 Speaker 8: not be working tomorrow. I will be eating through one 241 00:12:44,679 --> 00:12:46,680 Speaker 8: of our hundreds of boxes of matza. 242 00:12:46,800 --> 00:12:48,480 Speaker 2: Okay, so we have on the six floor. 243 00:12:48,559 --> 00:12:53,600 Speaker 8: God bless our our rates chief of staff. Yeah, listen, 244 00:12:53,640 --> 00:12:56,120 Speaker 8: it's nice to be talking about a name that actually 245 00:12:56,120 --> 00:12:59,800 Speaker 8: people like in the technology space. Now, stock is up 246 00:13:00,200 --> 00:13:02,360 Speaker 8: thirty odd percent this year. The S and P five 247 00:13:02,440 --> 00:13:06,319 Speaker 8: hundred Tech index is down almost ten percent. Spreads or 248 00:13:06,360 --> 00:13:10,040 Speaker 8: fifty basis points tighter over the past six months. I 249 00:13:10,080 --> 00:13:13,600 Speaker 8: actually think they they're the original poster child for AI. 250 00:13:14,200 --> 00:13:16,640 Speaker 8: They announced that they're going to be spending tens of 251 00:13:16,640 --> 00:13:20,800 Speaker 8: billions of dollars building foundries, not data centers, and free 252 00:13:20,800 --> 00:13:24,520 Speaker 8: cash went negative. They barred a lot, stock sold off, 253 00:13:24,600 --> 00:13:26,839 Speaker 8: bond sold off, and lo and behold. You know, they're 254 00:13:26,840 --> 00:13:28,839 Speaker 8: in the midst of a pretty major turnaround. I think 255 00:13:28,840 --> 00:13:31,839 Speaker 8: it's a plan others can can potentially follow over the 256 00:13:31,880 --> 00:13:32,640 Speaker 8: next couple of years. 257 00:13:32,800 --> 00:13:34,920 Speaker 5: But what makes Intel different, Why was it able to 258 00:13:34,960 --> 00:13:37,880 Speaker 5: pull it off? And how will other companies who might 259 00:13:37,920 --> 00:13:40,920 Speaker 5: want to follow in its footsteps be able to you know, 260 00:13:41,280 --> 00:13:43,319 Speaker 5: follow this blueprint and also succeed. 261 00:13:43,520 --> 00:13:46,880 Speaker 8: Yeah, well, there's a lot of benefits of having big, 262 00:13:46,920 --> 00:13:50,079 Speaker 8: powerful friends. So first, you know, the government converted some 263 00:13:50,120 --> 00:13:52,360 Speaker 8: of their grants into a ten percent equity state that 264 00:13:52,440 --> 00:13:54,920 Speaker 8: was over eight billion dollars, and Video wrote them a 265 00:13:54,960 --> 00:13:57,400 Speaker 8: five billion dollar check, and SoftBank wrote a couple of 266 00:13:57,440 --> 00:14:00,720 Speaker 8: billion dollar check. On top of that, they sold assets, 267 00:14:01,280 --> 00:14:04,480 Speaker 8: so they gained almost another ten billion dollars in assets 268 00:14:04,480 --> 00:14:08,079 Speaker 8: sales for non core businesses. So unlike others that have 269 00:14:08,440 --> 00:14:11,720 Speaker 8: been doing nothing but been borrowing and adding leverage, this 270 00:14:11,760 --> 00:14:15,559 Speaker 8: company has been on a de leveraging push. On top 271 00:14:15,600 --> 00:14:19,000 Speaker 8: of that, they're fundamentally their core business is starting to improve, 272 00:14:19,120 --> 00:14:22,040 Speaker 8: so a better balance sheet, a top line that we're 273 00:14:22,080 --> 00:14:25,600 Speaker 8: looking to see grow this year after falling five straight 274 00:14:25,680 --> 00:14:27,960 Speaker 8: years in a row. So they are doing things that 275 00:14:27,960 --> 00:14:29,880 Speaker 8: are different and they're getting paid for it all right. 276 00:14:29,960 --> 00:14:32,040 Speaker 2: So on the Bloomberg terminal, if you want to see 277 00:14:32,040 --> 00:14:34,360 Speaker 2: who the shareholders are of any particular company, you just 278 00:14:34,400 --> 00:14:39,960 Speaker 2: type in HDS for holders number one for Intel, black Rock, okay, 279 00:14:40,200 --> 00:14:44,440 Speaker 2: Number two Vanguard got it. Number three United States of America, 280 00:14:44,680 --> 00:14:47,760 Speaker 2: you don't see that every day, and number four Nvidia. 281 00:14:48,600 --> 00:14:53,240 Speaker 2: So those are the partners for Intel here. How about 282 00:14:53,280 --> 00:14:55,080 Speaker 2: the free cash flow story, because I was just looking 283 00:14:55,120 --> 00:14:57,760 Speaker 2: back at the FA function and as you said, negative 284 00:14:57,800 --> 00:15:00,480 Speaker 2: free cash because they're spending so much on capex. You're 285 00:15:00,480 --> 00:15:03,840 Speaker 2: a bond guy, you like free cash flow. How's that 286 00:15:03,880 --> 00:15:04,560 Speaker 2: story developing. 287 00:15:04,800 --> 00:15:06,880 Speaker 8: Yeah, we haven't had a lot of free cash flow 288 00:15:07,000 --> 00:15:09,440 Speaker 8: the last few months to talk about, and we haven't 289 00:15:09,480 --> 00:15:12,200 Speaker 8: been worried about it. Listen, Intel has been bleeding cash. 290 00:15:12,280 --> 00:15:14,240 Speaker 8: It looks like they're probably going to be around flatish 291 00:15:14,240 --> 00:15:17,040 Speaker 8: this year. That being said, though, with all these transactions 292 00:15:17,040 --> 00:15:20,720 Speaker 8: that they've done, they've built a pretty big base of 293 00:15:20,880 --> 00:15:24,120 Speaker 8: thirty seven and a half billion dollars of cash on 294 00:15:24,200 --> 00:15:26,920 Speaker 8: the books. They're using some of it to buy back 295 00:15:27,600 --> 00:15:31,360 Speaker 8: Apollo stake in one of their jps. It's a phenomenal move. 296 00:15:31,400 --> 00:15:33,120 Speaker 8: You know, we wrote yesterday that it was a sign 297 00:15:33,160 --> 00:15:36,040 Speaker 8: of strength. What this company had to do is some 298 00:15:36,120 --> 00:15:38,760 Speaker 8: creative financing, like you know we've seen with AI. We've 299 00:15:38,760 --> 00:15:41,640 Speaker 8: seen some of these off balance sheet SPVs to raise 300 00:15:41,680 --> 00:15:44,760 Speaker 8: money so it doesn't lever the companies. Intel was sort 301 00:15:44,760 --> 00:15:46,200 Speaker 8: of the first to do this, but they did it 302 00:15:46,240 --> 00:15:48,600 Speaker 8: with a variety of foundriies. They did a deal with Apollo, 303 00:15:48,680 --> 00:15:51,200 Speaker 8: and they did a deal with Brookfield. What they're doing 304 00:15:51,200 --> 00:15:53,440 Speaker 8: now is they're unwinding one of those and it's showing 305 00:15:53,480 --> 00:15:57,320 Speaker 8: that they now have the financial firepower to go into 306 00:15:57,360 --> 00:16:01,160 Speaker 8: this build on their own. They don't need partners anymore. 307 00:16:01,440 --> 00:16:04,160 Speaker 8: So they're using some of that cash that they've got 308 00:16:04,200 --> 00:16:07,320 Speaker 8: from their equity friends and they're using it now to 309 00:16:07,320 --> 00:16:10,320 Speaker 8: take a bigger stake in what will be upside in 310 00:16:10,400 --> 00:16:14,560 Speaker 8: terms of cash flow and EPs from this foundry business. 311 00:16:14,600 --> 00:16:17,040 Speaker 8: So it's a real sign of strength. It's not just 312 00:16:17,080 --> 00:16:19,360 Speaker 8: from US. SMP came out right away yesterday and said 313 00:16:19,720 --> 00:16:21,520 Speaker 8: thought it was credit neutral. Moodies came out and said 314 00:16:21,680 --> 00:16:24,720 Speaker 8: they thought it was credit positive because it was going 315 00:16:24,760 --> 00:16:28,600 Speaker 8: to enable quicker deleveraging over a shorter period of time. 316 00:16:28,720 --> 00:16:30,880 Speaker 8: So it's a real sign of strength, and it's one 317 00:16:30,880 --> 00:16:32,640 Speaker 8: of the few names that put the equity and the 318 00:16:32,640 --> 00:16:33,840 Speaker 8: bomb Mark's really love. 319 00:16:33,760 --> 00:16:35,920 Speaker 3: And very quickly, Robert, do we give all the credit 320 00:16:35,920 --> 00:16:37,000 Speaker 3: to Boomtown. 321 00:16:37,880 --> 00:16:39,480 Speaker 8: Let me tell you something. You bring in a new 322 00:16:39,560 --> 00:16:42,560 Speaker 8: CEO and you make the type of changes that he's made. 323 00:16:42,640 --> 00:16:46,360 Speaker 8: I think every technology firm would love to have a 324 00:16:46,360 --> 00:16:49,880 Speaker 8: CEO like that, so yeah, I'll credit kudos to him. 325 00:16:50,200 --> 00:16:54,920 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 326 00:16:55,080 --> 00:16:58,560 Speaker 1: and anywhere else you get your podcasts. Listen live each 327 00:16:58,600 --> 00:17:02,360 Speaker 1: weekday ten am to newn Eastern on Bloomberg dot com, 328 00:17:02,480 --> 00:17:06,000 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business app. 329 00:17:06,400 --> 00:17:09,360 Speaker 1: You can also watch us live every weekday on YouTube 330 00:17:09,760 --> 00:17:12,000 Speaker 1: and always on the Bloomberg terminal