1 00:00:02,720 --> 00:00:10,559 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,600 --> 00:00:14,560 Speaker 1: Bloomberg Intelligence podcast. Catch us live weekdays at ten am 3 00:00:14,600 --> 00:00:17,880 Speaker 1: Eastern on Apple Coarplay 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 00:00:24,160 --> 00:00:25,320 Speaker 2: Let's talk a little technology. 7 00:00:25,320 --> 00:00:27,600 Speaker 3: Why not Man Deep Seeing, global tech research head from 8 00:00:27,600 --> 00:00:28,440 Speaker 3: Bloomberg Intelligence. 9 00:00:28,520 --> 00:00:30,960 Speaker 2: He joins us here, so I'm seen as Bloomberg News story. 10 00:00:31,120 --> 00:00:34,000 Speaker 3: NVIDIAs stock is at its cheapest it's been since before 11 00:00:34,600 --> 00:00:37,920 Speaker 3: the AI boom. After news after losing roughly one trillion 12 00:00:37,920 --> 00:00:40,640 Speaker 3: dollars in market value over the less than two months. 13 00:00:41,080 --> 00:00:43,680 Speaker 2: What's going on there? Taking some profits? 14 00:00:43,720 --> 00:00:47,760 Speaker 4: Yeah, taking profits? And look, I think when it comes 15 00:00:47,800 --> 00:00:51,960 Speaker 4: to the chip space, we've heard quite a few announcements 16 00:00:52,040 --> 00:00:56,120 Speaker 4: in the last few months, both from the hyperscalers ramping 17 00:00:56,200 --> 00:00:59,880 Speaker 4: up their efforts, whether it's Amazon or Microsoft. So it's 18 00:01:00,080 --> 00:01:04,920 Speaker 4: not just Google TPUs anymore, BUTTA All these hyperscalers are 19 00:01:04,959 --> 00:01:07,880 Speaker 4: focused more on the inference side of things, which is 20 00:01:07,880 --> 00:01:11,280 Speaker 4: where you know you're generating most of your revenue if 21 00:01:11,319 --> 00:01:15,400 Speaker 4: you're focused on AI. And they've left the training market 22 00:01:15,480 --> 00:01:18,959 Speaker 4: to Nvidia. But when it comes to inferencing specifically, you've 23 00:01:19,000 --> 00:01:23,640 Speaker 4: got more competition. Even open Ai and Tropic are looking 24 00:01:23,680 --> 00:01:26,480 Speaker 4: to make their own chips. Now, the timeline for this 25 00:01:26,720 --> 00:01:29,280 Speaker 4: is all you know, two three years out. There will 26 00:01:29,280 --> 00:01:32,840 Speaker 4: be nothing imminent in terms of, you know, something that 27 00:01:32,920 --> 00:01:37,320 Speaker 4: can compete with Nvidia, but the market is anticipatory in 28 00:01:37,360 --> 00:01:40,800 Speaker 4: that sense, and the fact that everyone is looking to 29 00:01:40,840 --> 00:01:43,400 Speaker 4: build their own chips is a sign that there will 30 00:01:43,400 --> 00:01:45,880 Speaker 4: be more competition for Nvidia down the line. 31 00:01:46,000 --> 00:01:47,880 Speaker 5: That makes it sound like it's easy for them to 32 00:01:47,880 --> 00:01:49,840 Speaker 5: make their own ships. They partner up with someone and 33 00:01:49,840 --> 00:01:50,760 Speaker 5: they just make it. 34 00:01:50,400 --> 00:01:52,640 Speaker 2: It can't be that easy, is It. 35 00:01:52,320 --> 00:01:55,000 Speaker 4: Can't be that easy, which is why the timelines are 36 00:01:55,040 --> 00:01:58,080 Speaker 4: already two years out. There's nothing that I could say 37 00:01:58,120 --> 00:02:01,040 Speaker 4: over the next six months, you know there will be 38 00:02:01,120 --> 00:02:04,760 Speaker 4: a competitor to Nvideo or Google TPUs. Google TPU is 39 00:02:04,880 --> 00:02:08,880 Speaker 4: what is inspiring all these companies to build their own 40 00:02:08,960 --> 00:02:12,240 Speaker 4: chips because they've seen Google has released eight versions of 41 00:02:12,400 --> 00:02:15,800 Speaker 4: their own chip, and the Entropic models, which are the 42 00:02:15,840 --> 00:02:20,280 Speaker 4: best in class models, were trained on Google TPUs and 43 00:02:20,320 --> 00:02:24,440 Speaker 4: also they use Google TPUs for inferencing for the most part, 44 00:02:24,520 --> 00:02:27,519 Speaker 4: So now they have started to use Nvidia. But your 45 00:02:27,600 --> 00:02:31,560 Speaker 4: best model out there wasn't using Nvidia, and so from 46 00:02:31,600 --> 00:02:34,600 Speaker 4: that perspective, there's a case to be made that there 47 00:02:34,639 --> 00:02:38,720 Speaker 4: could be potentially more competition given what Google has accomplished 48 00:02:38,720 --> 00:02:39,640 Speaker 4: over the years. 49 00:02:40,200 --> 00:02:43,079 Speaker 3: The AI rotation trade is gathering pace in Asia as 50 00:02:43,080 --> 00:02:45,720 Speaker 3: investors pull money from chip makers and hunt for cheaper 51 00:02:45,760 --> 00:02:47,639 Speaker 3: ways to play the technology boom. 52 00:02:47,880 --> 00:02:50,000 Speaker 2: What are the cheaper ways to play the technology boom? 53 00:02:50,560 --> 00:02:53,320 Speaker 3: Might just go buy a utility company. 54 00:02:53,560 --> 00:02:54,280 Speaker 2: I don't think so. 55 00:02:54,480 --> 00:02:57,840 Speaker 4: Look, I think right now we are in that risk 56 00:02:57,880 --> 00:03:01,680 Speaker 4: of sentiment when it comes to the AI infrastructure trade. 57 00:03:02,000 --> 00:03:04,880 Speaker 4: People seem to be panicking, and they are, and whenever 58 00:03:05,080 --> 00:03:09,720 Speaker 4: something like this happens, there's indiscriminate selling of all AI 59 00:03:09,760 --> 00:03:13,040 Speaker 4: infrastructure names. People don't try to sort things out of 60 00:03:13,160 --> 00:03:17,480 Speaker 4: this company like Memory, for example, I mean all their earnings, 61 00:03:17,800 --> 00:03:21,840 Speaker 4: whether it's Samsung or Micron. These are companies that have 62 00:03:22,360 --> 00:03:28,680 Speaker 4: the highest margins they've ever had, shown incredible pricing power, 63 00:03:29,080 --> 00:03:32,560 Speaker 4: and you know their customers are looking to lock in 64 00:03:32,600 --> 00:03:35,800 Speaker 4: the pricing at this point because they don't want to 65 00:03:35,800 --> 00:03:38,400 Speaker 4: pay higher prices three months from now. So in terms 66 00:03:38,480 --> 00:03:41,360 Speaker 4: of pricing power, if there's any sector that has the 67 00:03:41,400 --> 00:03:44,800 Speaker 4: best pricing power right now, it's memory. And so from 68 00:03:44,840 --> 00:03:47,920 Speaker 4: that perspective, I don't see a reason why you would 69 00:03:47,920 --> 00:03:52,000 Speaker 4: want to, you know, sell these companies, especially companies with 70 00:03:52,120 --> 00:03:56,360 Speaker 4: pricing power, with margin expansion, with probably the best margins 71 00:03:56,360 --> 00:03:58,760 Speaker 4: they ever had, just because you feel, you know, they 72 00:03:59,000 --> 00:04:01,840 Speaker 4: they're hitting Peaker. I don't see that as a reason. 73 00:04:02,080 --> 00:04:04,680 Speaker 5: We were talking about in Nvidia earlier, and Vidia shares 74 00:04:04,760 --> 00:04:07,600 Speaker 5: have shot up. They're now up about nine tens of 75 00:04:07,640 --> 00:04:10,120 Speaker 5: one percent from being in the red. And this is 76 00:04:10,200 --> 00:04:13,760 Speaker 5: on a headline from the Information, which is a tech publication, 77 00:04:13,840 --> 00:04:16,760 Speaker 5: saying that China will let its top AI companies buy 78 00:04:16,839 --> 00:04:19,320 Speaker 5: some in Nvidia H two hundred chips. 79 00:04:19,520 --> 00:04:20,239 Speaker 2: This is the. 80 00:04:20,080 --> 00:04:24,560 Speaker 5: Lower grade in Nvidia AI chips, right Mande, Yes, Okay. 81 00:04:24,440 --> 00:04:27,919 Speaker 4: This is the Hopper, the not the Nerve version, but 82 00:04:28,200 --> 00:04:31,920 Speaker 4: the version that probably they were allowed to sell in China. 83 00:04:31,960 --> 00:04:35,520 Speaker 4: And yeah, the US companies have the better versions available. 84 00:04:35,720 --> 00:04:39,120 Speaker 5: Okay, so it's a downgraded version from what Nvidia offers 85 00:04:39,120 --> 00:04:43,440 Speaker 5: to the US customer. But the US government has allowed 86 00:04:43,680 --> 00:04:46,200 Speaker 5: in Nvidia to sell to China. China just didn't allow 87 00:04:46,279 --> 00:04:49,040 Speaker 5: its own companies to buy these chips up until now. Correct, 88 00:04:49,240 --> 00:04:52,719 Speaker 5: easy come, easygo, China can turn on permission and turn 89 00:04:52,760 --> 00:04:55,480 Speaker 5: off permission like a switch, right. I mean, that's the risk. 90 00:04:55,279 --> 00:04:56,919 Speaker 2: Here, that's the risk. 91 00:04:57,040 --> 00:05:00,440 Speaker 4: And look, when it comes to the Chinese open source 92 00:05:00,520 --> 00:05:03,520 Speaker 4: models so far, what we have seen from them is 93 00:05:03,960 --> 00:05:06,680 Speaker 4: they are probably six to nine months behind when it 94 00:05:06,720 --> 00:05:10,000 Speaker 4: comes to the capabilities of the models. And even though 95 00:05:10,040 --> 00:05:13,240 Speaker 4: they didn't have access to the latest in video chips, 96 00:05:13,960 --> 00:05:16,080 Speaker 4: at the end of the day, these chips are deployed 97 00:05:16,080 --> 00:05:19,359 Speaker 4: on a cloud somewhere and that cloud may not be 98 00:05:19,480 --> 00:05:23,960 Speaker 4: in China, but the customers could be these Chinese model companies. 99 00:05:24,040 --> 00:05:28,719 Speaker 4: So from that perspective, there is that aspect around accessing 100 00:05:28,800 --> 00:05:32,680 Speaker 4: the compute wherever it's available on the cloud, and that 101 00:05:33,000 --> 00:05:34,960 Speaker 4: may go beyond the geographic boundaries. 102 00:05:35,120 --> 00:05:36,520 Speaker 2: Thirty seconds s khinex. 103 00:05:36,600 --> 00:05:38,599 Speaker 3: They want to do a twenty billion dollar equity offering 104 00:05:38,600 --> 00:05:40,200 Speaker 3: here in the US to trade Friday. 105 00:05:40,240 --> 00:05:40,840 Speaker 2: Is that going to happen? 106 00:05:41,160 --> 00:05:42,120 Speaker 4: I think so yes. 107 00:05:42,360 --> 00:05:44,560 Speaker 2: I mean you've taped so that it. Yeah. 108 00:05:44,560 --> 00:05:48,799 Speaker 4: But look, I think investors who believe in this memory 109 00:05:48,839 --> 00:05:52,560 Speaker 4: cycle that it's going to be durable and long, they 110 00:05:52,560 --> 00:05:54,360 Speaker 4: will want a piece of it. 111 00:05:54,960 --> 00:05:57,840 Speaker 2: Stay with us. More from Bloomberg Intelligence coming up after this. 112 00:06:01,680 --> 00:06:05,360 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch US Live 113 00:06:05,440 --> 00:06:08,560 Speaker 1: weekdays at ten am Eastern on Apple Coarclay, and Android 114 00:06:08,560 --> 00:06:11,880 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 115 00:06:11,920 --> 00:06:15,040 Speaker 1: you get your podcasts, or watch us live on YouTube. 116 00:06:16,000 --> 00:06:18,400 Speaker 3: One of the big stories obviously in capital markets over 117 00:06:18,440 --> 00:06:20,280 Speaker 3: the last really a couple of months, it's just been 118 00:06:20,320 --> 00:06:24,919 Speaker 3: the issuance of investment grade debt by technology companies associated 119 00:06:24,960 --> 00:06:27,320 Speaker 3: with their AI capital spending plans. The most recent deal 120 00:06:27,360 --> 00:06:31,080 Speaker 3: is Amazon coming with a big deal at twenty five 121 00:06:31,120 --> 00:06:33,839 Speaker 3: billion dollars. That's issuing more than sixty billion across currencies. 122 00:06:34,200 --> 00:06:36,920 Speaker 3: You know, just recently, Rob Shifman, he's been on fire 123 00:06:37,080 --> 00:06:40,040 Speaker 3: on this stuff, way ahead of it. Senior tech credit 124 00:06:40,120 --> 00:06:41,560 Speaker 3: analysts for Bloomberg Intelligence. 125 00:06:42,720 --> 00:06:45,080 Speaker 2: Amazon, just talk to us. That's the most recent deal. Rob, 126 00:06:45,400 --> 00:06:47,600 Speaker 2: Just give us a sense of how that was received. 127 00:06:47,320 --> 00:06:50,080 Speaker 3: In the marketplace and how the market's thinking about some 128 00:06:50,160 --> 00:06:52,280 Speaker 3: of these tech players that have really become big issuers. 129 00:06:52,520 --> 00:06:56,000 Speaker 6: Sure, you know, if you read Bloomberg News, it reads 130 00:06:56,000 --> 00:06:58,960 Speaker 6: like it was received terribly and quite frankly, I don't 131 00:06:58,960 --> 00:07:01,799 Speaker 6: think that was the case. You know, when they've actually 132 00:07:01,839 --> 00:07:04,360 Speaker 6: issued almost one hundred billion dollars a debt this year 133 00:07:04,720 --> 00:07:08,120 Speaker 6: across currencies, when you issue that much paper, every time 134 00:07:08,160 --> 00:07:09,880 Speaker 6: you do a deal, you need to pay a little 135 00:07:09,880 --> 00:07:13,280 Speaker 6: bit more. So new issue concessions on this were higher 136 00:07:13,320 --> 00:07:17,240 Speaker 6: than traditionally. That being said, they were probably about ten 137 00:07:17,320 --> 00:07:19,840 Speaker 6: or fifteen beeps higher. And when you're talking about a 138 00:07:19,880 --> 00:07:24,840 Speaker 6: company that's raising thirty year money at spreads over treasuries 139 00:07:25,360 --> 00:07:28,040 Speaker 6: at one hundred and ten basis points, quite frankly, it's 140 00:07:28,080 --> 00:07:31,280 Speaker 6: just a rounding error. The ability to raise twenty five 141 00:07:31,320 --> 00:07:34,560 Speaker 6: billion dollars in a couple of hours. I don't care 142 00:07:34,600 --> 00:07:38,440 Speaker 6: if it's oversubscribed by two times or five times. Amazon 143 00:07:38,480 --> 00:07:41,200 Speaker 6: could raise as much money as they want whenever they want. 144 00:07:41,520 --> 00:07:43,040 Speaker 6: They just might have to pay a little bit more. 145 00:07:43,440 --> 00:07:45,480 Speaker 5: So that paying a little bit more, you're attributing it 146 00:07:45,520 --> 00:07:47,360 Speaker 5: to the fact that they've already raised quite a bit 147 00:07:47,360 --> 00:07:49,360 Speaker 5: of money. And I think you're referring to the big 148 00:07:49,400 --> 00:07:53,040 Speaker 5: bond sale they did in Canada, the Luney offering last month. 149 00:07:53,400 --> 00:07:56,200 Speaker 5: Or is it that maybe sentiment has turned a little bit. 150 00:07:56,200 --> 00:07:57,520 Speaker 5: I think that's what we're trying to get at. 151 00:07:57,960 --> 00:08:01,960 Speaker 6: Yet, No, I don't think sentiment is turned. Doing alternative currencies, 152 00:08:02,000 --> 00:08:05,440 Speaker 6: non dollar currencies is actually good from a US dollar 153 00:08:05,480 --> 00:08:08,720 Speaker 6: trading perspective. Because for every dollar that they issue that 154 00:08:08,960 --> 00:08:10,920 Speaker 6: is in alternative currencies, they don't have to do in 155 00:08:11,000 --> 00:08:14,320 Speaker 6: US dollars. What starts to happen is large money managers 156 00:08:14,360 --> 00:08:16,840 Speaker 6: just get full on the name. You know their Amazon 157 00:08:16,880 --> 00:08:19,520 Speaker 6: has about two hundred million dollars of debt outstanding now, 158 00:08:19,760 --> 00:08:23,320 Speaker 6: and these are large positions, so incentive to incentivize people 159 00:08:23,360 --> 00:08:25,320 Speaker 6: to take on more, you just have to pay a 160 00:08:25,360 --> 00:08:28,040 Speaker 6: little bit more. But what I'm saying is the overall 161 00:08:28,240 --> 00:08:31,680 Speaker 6: cost of borrowing for them from a spread perspective, is 162 00:08:31,720 --> 00:08:36,240 Speaker 6: still somewhat tiny. So yes, sentiment is getting a little 163 00:08:36,280 --> 00:08:39,520 Speaker 6: bit weaker. That happens when you have record issuance, and 164 00:08:39,520 --> 00:08:42,400 Speaker 6: it's likely to continue. Also, Amazon's not ruling out they're 165 00:08:42,400 --> 00:08:44,480 Speaker 6: going to be back in the markets later this year. 166 00:08:44,920 --> 00:08:47,240 Speaker 6: That said, you know, if they did an alphabet style 167 00:08:47,320 --> 00:08:50,360 Speaker 6: equity deal and raised seventy five eighty five billion dollars 168 00:08:50,360 --> 00:08:53,240 Speaker 6: of equity next month, I think you're going to see 169 00:08:53,240 --> 00:08:55,120 Speaker 6: spreads tighter. And in fact, you know, with all this 170 00:08:56,679 --> 00:09:00,880 Speaker 6: Middle East news, it's actually somewhat mildly positive or credit spreads. 171 00:09:00,880 --> 00:09:03,840 Speaker 6: What happens is yields end up going higher, so the 172 00:09:04,040 --> 00:09:08,240 Speaker 6: bid from the byside, particularly out the curve goes up. 173 00:09:08,440 --> 00:09:11,319 Speaker 6: You can basically buy the same names at the same 174 00:09:11,520 --> 00:09:15,240 Speaker 6: or tighter spreads, but higher yields. So you're seeing some 175 00:09:15,280 --> 00:09:18,000 Speaker 6: of that today. So Amazon is tighter today, and even 176 00:09:18,080 --> 00:09:21,800 Speaker 6: names like SpaceX are trading tighter today. So this concept 177 00:09:21,880 --> 00:09:25,480 Speaker 6: that the large hyperscalers are not going to be able 178 00:09:25,520 --> 00:09:27,920 Speaker 6: to raise as much money as we say that they're 179 00:09:27,920 --> 00:09:30,000 Speaker 6: going to need, I think that's just sort of a 180 00:09:30,080 --> 00:09:32,679 Speaker 6: misnomer because it cost them a little bit more this 181 00:09:32,720 --> 00:09:33,840 Speaker 6: time than it did last time. 182 00:09:33,920 --> 00:09:36,760 Speaker 3: You mentioned SpaceX and Tom follows those bonds. Tom King 183 00:09:36,800 --> 00:09:39,200 Speaker 3: follows those bonds, and he's been noting that they've been 184 00:09:39,200 --> 00:09:42,880 Speaker 3: trading lower relative talk to us about how they've been trading. 185 00:09:43,240 --> 00:09:48,360 Speaker 6: Why, Well, it's the nomenclatures is important. So lowers, are 186 00:09:48,360 --> 00:09:50,640 Speaker 6: you talking about spreads or are you talking about price right, 187 00:09:50,679 --> 00:09:53,640 Speaker 6: because it's the opposite. So, you know, spreads on the 188 00:09:53,760 --> 00:09:57,320 Speaker 6: break widen twenty to twenty five basis points, and now 189 00:09:57,400 --> 00:09:59,880 Speaker 6: they've settled in, you know, a nickel or so tighter, 190 00:10:00,040 --> 00:10:02,960 Speaker 6: so they're in a much more narrow trading range. Again, 191 00:10:03,080 --> 00:10:06,000 Speaker 6: I think that these these these basis point moves are 192 00:10:06,040 --> 00:10:10,000 Speaker 6: reasonably small, and they're not telling a story that I 193 00:10:10,040 --> 00:10:13,080 Speaker 6: think we see across news, which is a news knows 194 00:10:13,080 --> 00:10:16,199 Speaker 6: bad news sells, and they put out the sky is falling, 195 00:10:16,240 --> 00:10:19,120 Speaker 6: and quite frankly, it just isn't. There's a deep bid 196 00:10:19,280 --> 00:10:22,240 Speaker 6: for SpaceX bonds, there's a bid for Oracle bonds, and 197 00:10:22,240 --> 00:10:25,080 Speaker 6: there's a bid for these double A hyperscaler bonds. It's 198 00:10:25,120 --> 00:10:27,680 Speaker 6: just at a little bit of an incremental cost over 199 00:10:27,760 --> 00:10:30,320 Speaker 6: what historically they had paid. And it makes sense. Part 200 00:10:30,360 --> 00:10:33,280 Speaker 6: of the SpaceX issue is that they're going to come back, 201 00:10:33,440 --> 00:10:35,720 Speaker 6: and they're going to come back again and again and again, 202 00:10:36,200 --> 00:10:38,400 Speaker 6: and people just need to position that. You know, if 203 00:10:38,400 --> 00:10:41,040 Speaker 6: you're a triple bing aame, you know, where should you 204 00:10:41,040 --> 00:10:43,320 Speaker 6: be traded? Well, they're trading inside of where Oracle is. 205 00:10:43,600 --> 00:10:45,560 Speaker 6: So all of a sudden, I think Oracle levels, which 206 00:10:45,559 --> 00:10:48,079 Speaker 6: are you know, thirty forty wider create a backstop where 207 00:10:48,080 --> 00:10:49,440 Speaker 6: I think SpaceX might be going. 208 00:10:50,080 --> 00:10:52,559 Speaker 5: Stay with us more from Bloomberg Intelligence. 209 00:10:52,080 --> 00:10:53,000 Speaker 2: Coming up after this. 210 00:10:56,840 --> 00:11:01,040 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catchup live weekdays 211 00:11:01,040 --> 00:11:03,920 Speaker 1: at ten am Eastern on Apple, Cocklay and Android Auto 212 00:11:04,040 --> 00:11:07,080 Speaker 1: with the Blueberg Business app. Listen on demand wherever you 213 00:11:07,080 --> 00:11:10,480 Speaker 1: get your podcasts, or watch us live on YouTube. 214 00:11:11,040 --> 00:11:12,680 Speaker 2: Let's move over to the tech space here. 215 00:11:13,040 --> 00:11:17,760 Speaker 3: Apple chip deal with Broadcom expected to exceed thirty billion dollars. 216 00:11:18,640 --> 00:11:20,520 Speaker 2: Big move for Broadcam, big mood for Apples. 217 00:11:20,559 --> 00:11:22,880 Speaker 3: Check in with Ana rog Rana, senior tech analys for 218 00:11:22,880 --> 00:11:26,600 Speaker 3: Bloomberg Intelligence, An Rock talk to us about this Apple deal. 219 00:11:27,760 --> 00:11:28,720 Speaker 7: Soon you look at it. 220 00:11:28,960 --> 00:11:30,800 Speaker 8: You know, at first, when we heard about this to 221 00:11:30,880 --> 00:11:33,079 Speaker 8: you a couple of days ago, you know, we thought 222 00:11:33,160 --> 00:11:35,400 Speaker 8: this would be something new. But it seems a little 223 00:11:35,440 --> 00:11:38,960 Speaker 8: bit like you know, similar smaller chips that they have 224 00:11:39,040 --> 00:11:40,880 Speaker 8: been buying from Broadcom for a while. 225 00:11:41,080 --> 00:11:43,000 Speaker 7: But I think the big portion is they are. 226 00:11:42,920 --> 00:11:45,480 Speaker 8: Being built in the US, are being manufactured in the US, 227 00:11:45,640 --> 00:11:47,800 Speaker 8: And I think that's really the big difference here because 228 00:11:48,360 --> 00:11:49,040 Speaker 8: you know, as we. 229 00:11:48,960 --> 00:11:50,920 Speaker 7: Know, most of these parts do come from Asia. 230 00:11:51,280 --> 00:11:54,360 Speaker 8: So this is the first part of the commitment Tim 231 00:11:54,400 --> 00:11:56,600 Speaker 8: Cook has made to President Trump that is going to. 232 00:11:56,600 --> 00:11:58,640 Speaker 7: Be buying more products in the US. 233 00:11:58,679 --> 00:12:00,960 Speaker 8: So I think that's the angle that's more important. 234 00:12:01,360 --> 00:12:01,480 Speaker 2: Now. 235 00:12:01,520 --> 00:12:05,200 Speaker 8: It is important from Broadcom's point of view because Broadcom 236 00:12:05,280 --> 00:12:09,040 Speaker 8: didn't make the modem for the iPhone and Apple's beIN 237 00:12:09,120 --> 00:12:12,640 Speaker 8: it's in housing that particular piece now that was not 238 00:12:12,760 --> 00:12:14,880 Speaker 8: good for it was a big overhand for Broadcom for 239 00:12:14,880 --> 00:12:17,600 Speaker 8: a while, but this deal for them says Apples still 240 00:12:17,640 --> 00:12:19,840 Speaker 8: going to them for other chips and other paths. So 241 00:12:20,040 --> 00:12:22,760 Speaker 8: it's a good deal more so for Broadcom and for Apple. 242 00:12:22,840 --> 00:12:26,000 Speaker 8: It's basically telling the President Trump that we are buying 243 00:12:26,040 --> 00:12:27,079 Speaker 8: more products in the US. 244 00:12:27,400 --> 00:12:30,640 Speaker 3: And broadcomstock is up three and a half percent today, 245 00:12:30,720 --> 00:12:32,760 Speaker 3: up about eleven percent year to date, you know, of 246 00:12:32,760 --> 00:12:34,760 Speaker 3: the trailing twelve months, up about forty one percent. So 247 00:12:34,800 --> 00:12:38,840 Speaker 3: it's been well received by the marketplace here. So how 248 00:12:38,880 --> 00:12:42,280 Speaker 3: does Apple think about it's supply chain these days? You know, 249 00:12:42,280 --> 00:12:44,440 Speaker 3: they've been working so hard since the pandemic and then 250 00:12:44,880 --> 00:12:49,760 Speaker 3: with President Trump's pressures to kind of rejiggerate supply chain. 251 00:12:49,840 --> 00:12:51,120 Speaker 2: Where are we in that process now on? 252 00:12:51,280 --> 00:12:51,439 Speaker 4: Right? 253 00:12:52,360 --> 00:12:52,920 Speaker 7: So people do? 254 00:12:53,000 --> 00:12:54,760 Speaker 8: I think they are doing the right thing in terms 255 00:12:54,800 --> 00:12:57,080 Speaker 8: of if you look at bill of materials of any 256 00:12:57,080 --> 00:12:59,800 Speaker 8: product of any big phone, the chip is a very 257 00:13:00,000 --> 00:13:00,880 Speaker 8: expensive part of it. 258 00:13:01,600 --> 00:13:02,760 Speaker 7: You really, I don't. 259 00:13:02,520 --> 00:13:07,400 Speaker 8: Think you can logically think about them trying to assemble 260 00:13:07,440 --> 00:13:07,920 Speaker 8: the phone. 261 00:13:08,480 --> 00:13:10,560 Speaker 7: You know, that's a very very low. 262 00:13:10,440 --> 00:13:13,760 Speaker 8: Cost product somewhere in the US, because it's not mathematically 263 00:13:14,000 --> 00:13:16,360 Speaker 8: economical for them, you know, let them do that portion 264 00:13:16,640 --> 00:13:19,520 Speaker 8: somewhere in Asia where they have the scale, low cost labor, 265 00:13:19,640 --> 00:13:22,400 Speaker 8: and the factories are already set up, but the expensive 266 00:13:22,400 --> 00:13:24,960 Speaker 8: parts can be made in the US if we have 267 00:13:25,120 --> 00:13:27,720 Speaker 8: funding from the government, if they are bigger factories that 268 00:13:27,840 --> 00:13:29,880 Speaker 8: do that kind of stuff, so that I think they're 269 00:13:29,880 --> 00:13:32,439 Speaker 8: going about it the right way. We've also heard from 270 00:13:32,440 --> 00:13:35,160 Speaker 8: our Kerman. Then there is a possibility that Apple may 271 00:13:35,200 --> 00:13:36,839 Speaker 8: work with Broadcom to do some. 272 00:13:36,920 --> 00:13:38,080 Speaker 7: AI server chips. 273 00:13:38,679 --> 00:13:40,959 Speaker 8: That's going to be actually a very expensive chip if 274 00:13:40,960 --> 00:13:43,080 Speaker 8: they gig if they actually go out and do that, 275 00:13:43,800 --> 00:13:45,760 Speaker 8: and that can be done in the US also, So 276 00:13:46,679 --> 00:13:48,920 Speaker 8: looking at the right part of the supply chain, the 277 00:13:48,920 --> 00:13:51,679 Speaker 8: more expensive parts being built, I think that's the right 278 00:13:51,679 --> 00:13:52,520 Speaker 8: way to look at it. 279 00:13:53,280 --> 00:13:55,679 Speaker 3: What do we know of the role of Tim Cook 280 00:13:56,280 --> 00:13:59,959 Speaker 3: these days? What is he doing and what's the folk 281 00:14:00,040 --> 00:14:00,880 Speaker 3: spream going forward? 282 00:14:00,880 --> 00:14:01,240 Speaker 1: Do you think? 283 00:14:02,120 --> 00:14:04,199 Speaker 8: I think going forward it's I think very clear in 284 00:14:04,320 --> 00:14:06,400 Speaker 8: the announcement that is going to make that he's going 285 00:14:06,440 --> 00:14:09,040 Speaker 8: to be, you know, making shore, taking care of some 286 00:14:09,080 --> 00:14:11,920 Speaker 8: of the government affairs, which to me means attending dinners 287 00:14:11,960 --> 00:14:14,800 Speaker 8: both in China and in the US with the respective 288 00:14:14,800 --> 00:14:17,640 Speaker 8: presidents or basically wherever the president wants him to go. 289 00:14:17,720 --> 00:14:18,480 Speaker 7: He will tag. 290 00:14:18,320 --> 00:14:20,680 Speaker 8: Along I mean, I think that's really something that. 291 00:14:20,800 --> 00:14:24,000 Speaker 7: Even in the first three months of President Drum's you. 292 00:14:23,920 --> 00:14:26,560 Speaker 8: Know, inauguration, he was not happy that Kim Cook was 293 00:14:26,600 --> 00:14:29,840 Speaker 8: not in one of the particular functions. But since then 294 00:14:29,880 --> 00:14:31,920 Speaker 8: he's been seen everywhere. So I think that's going to 295 00:14:31,960 --> 00:14:34,720 Speaker 8: be his legacy and work going forward. 296 00:14:34,800 --> 00:14:37,280 Speaker 2: And it's hugely valuable, no question about it. 297 00:14:37,680 --> 00:14:40,160 Speaker 3: That's the way a lot of CEOs have come to 298 00:14:40,200 --> 00:14:41,880 Speaker 3: the They've come to the conclusion that's the best way 299 00:14:41,880 --> 00:14:42,920 Speaker 3: to deal with this administration. 300 00:14:43,840 --> 00:14:45,440 Speaker 2: Any latest thoughts here on. 301 00:14:45,560 --> 00:14:49,560 Speaker 3: Microsoft, you know, it's you know, it goes to that 302 00:14:49,640 --> 00:14:53,560 Speaker 3: whole AI as a competitive threat to software broadly defined, 303 00:14:53,560 --> 00:14:56,520 Speaker 3: and I can get it for some companies, but boy, 304 00:14:56,560 --> 00:14:58,160 Speaker 3: it doesn't ring true for Microsoft. 305 00:14:58,240 --> 00:14:59,600 Speaker 2: They just seem to actually big of a mote. But 306 00:14:59,640 --> 00:15:00,720 Speaker 2: that's not what the market saying. 307 00:15:01,520 --> 00:15:03,880 Speaker 7: I think the market's a little bit worried about Capex. 308 00:15:03,920 --> 00:15:06,240 Speaker 8: We published a note yesterday saying that maybe they need 309 00:15:06,280 --> 00:15:09,360 Speaker 8: to lighten up a little bit on that narrative because 310 00:15:09,640 --> 00:15:12,200 Speaker 8: if you look at the valuation gap, now it's trading 311 00:15:12,240 --> 00:15:14,640 Speaker 8: at what less than twenty times earnings and that was 312 00:15:14,720 --> 00:15:17,480 Speaker 8: not the case. I think the valuation's down almost thirty 313 00:15:17,560 --> 00:15:20,440 Speaker 8: nine to forty percent over the last twelve months. And 314 00:15:20,640 --> 00:15:22,320 Speaker 8: I think a lot of art has to do with 315 00:15:22,400 --> 00:15:25,120 Speaker 8: the money they're going to spend. By our calculation, they're 316 00:15:25,120 --> 00:15:27,400 Speaker 8: going to hit closer two hundred and ninety billion by 317 00:15:27,440 --> 00:15:30,760 Speaker 8: calendar twenty twenty six. That's about fifty four percent on revenue, 318 00:15:30,960 --> 00:15:33,120 Speaker 8: and that number is going to go up next to year. 319 00:15:33,200 --> 00:15:35,920 Speaker 8: So you have to really think that you really need 320 00:15:35,960 --> 00:15:38,280 Speaker 8: to spend that much money down the road, especially when 321 00:15:38,280 --> 00:15:41,360 Speaker 8: you have a very profitable software business. It's okay to 322 00:15:41,400 --> 00:15:44,240 Speaker 8: give back on a little bit of revenue growth, but boy, 323 00:15:44,280 --> 00:15:46,240 Speaker 8: you do want to keep that free cash flow going 324 00:15:46,320 --> 00:15:48,760 Speaker 8: because that's what some of the investors are looking for. 325 00:15:49,280 --> 00:15:53,040 Speaker 3: Yet, you know, we had your credit colleague on earlier today, 326 00:15:53,200 --> 00:15:56,360 Speaker 3: Rob Shiftman from Bloomberg Intelligence, and he's basically saying, Hey, 327 00:15:56,400 --> 00:15:58,720 Speaker 3: my market's wide open. These guys can keep issuing debt 328 00:15:58,760 --> 00:15:59,880 Speaker 3: and build as much as they. 329 00:16:00,000 --> 00:16:03,440 Speaker 8: Well, the thing is, it's okay for Google to do 330 00:16:03,480 --> 00:16:05,920 Speaker 8: it because they have their own chips. Amazon it has 331 00:16:05,960 --> 00:16:09,240 Speaker 8: its own chip. I like that Microsoft is still behind 332 00:16:09,280 --> 00:16:11,640 Speaker 8: in that chip war. If Microsoft is able to come 333 00:16:11,720 --> 00:16:14,160 Speaker 8: up its own chip and create a data center where 334 00:16:14,200 --> 00:16:15,280 Speaker 8: they don't need to go out and. 335 00:16:15,240 --> 00:16:16,560 Speaker 7: Pay the in media tacks. 336 00:16:16,760 --> 00:16:19,760 Speaker 8: It's okay, but right now Microsoft chip is not at 337 00:16:19,800 --> 00:16:22,520 Speaker 8: that level that customers are running to them and say, well, 338 00:16:22,520 --> 00:16:24,560 Speaker 8: give me your AI workload, but on your chip. 339 00:16:24,600 --> 00:16:25,640 Speaker 7: So if you have to go. 340 00:16:25,520 --> 00:16:28,600 Speaker 8: Buy Invidio chips, which is sometimes half of the CAPEX 341 00:16:28,640 --> 00:16:30,600 Speaker 8: goes to in media, then you have to really think 342 00:16:30,600 --> 00:16:32,520 Speaker 8: about whether why why are you doing that? 343 00:16:32,760 --> 00:16:34,800 Speaker 2: Thirty seconds left? Do they have the ability? Do you 344 00:16:34,840 --> 00:16:36,520 Speaker 2: think they'll get their own chip at any time soon? 345 00:16:36,920 --> 00:16:39,120 Speaker 8: They have their own chip and it's working, but it's 346 00:16:39,200 --> 00:16:42,800 Speaker 8: not doesn't have the same customer preference as that what 347 00:16:42,880 --> 00:16:45,400 Speaker 8: we saw with Google TPUs or with Amazon. 348 00:16:46,560 --> 00:16:51,239 Speaker 1: This is the Bloomberg Intelligence podcast, available on Apple, Spotify, 349 00:16:51,440 --> 00:16:54,920 Speaker 1: and anywhere else you get your podcasts. Listen live each 350 00:16:54,960 --> 00:16:58,680 Speaker 1: weekday ten am to noon Eastern on Bloomberg dot com, 351 00:16:58,840 --> 00:17:02,320 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business app. 352 00:17:02,760 --> 00:17:05,720 Speaker 1: You can also watch us live every weekday on YouTube 353 00:17:06,080 --> 00:17:08,360 Speaker 1: and always on the Bloomberg terminal