1 00:00:02,520 --> 00:00:07,000 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:09,160 --> 00:00:12,040 Speaker 2: This is a breaking news update from Bloomberg. 3 00:00:12,880 --> 00:00:16,840 Speaker 3: Instant reaction and analysis from our three thousand journalists and 4 00:00:16,920 --> 00:00:21,599 Speaker 3: analysts around the world. Here's how in King Ian King, 5 00:00:22,079 --> 00:00:26,720 Speaker 3: who's been covering this company and this sector for many years, 6 00:00:27,320 --> 00:00:30,639 Speaker 3: put it. Intel delivered a surprisingly strong revenue forecast for 7 00:00:30,680 --> 00:00:33,080 Speaker 3: the current period, indicating that a surge and data center 8 00:00:33,120 --> 00:00:36,559 Speaker 3: spending is helping fuel the chip makers turn around. The 9 00:00:36,560 --> 00:00:39,559 Speaker 3: outlook underscores Intel's gains with data center customers, which are 10 00:00:39,600 --> 00:00:43,560 Speaker 3: clamoring for chips to satisfy demand for AI computing. Sales 11 00:00:43,560 --> 00:00:46,279 Speaker 3: in that segment sort fifty nine percent last quarter, more 12 00:00:46,280 --> 00:00:48,040 Speaker 3: than double the pace of Intel's overall. 13 00:00:48,159 --> 00:00:51,440 Speaker 1: Right now, chief executive officer, the bhutans and the CPU 14 00:00:51,720 --> 00:00:54,360 Speaker 1: is taking off in data centers. All right, let's get 15 00:00:54,400 --> 00:00:56,680 Speaker 1: to it back with us. As of course, Man Deep 16 00:00:56,680 --> 00:01:00,440 Speaker 1: seeingh with our Bloomberg intelligence team. He oversees is tech 17 00:01:00,520 --> 00:01:03,800 Speaker 1: research here, Global tech research for our intelligence team. This 18 00:01:03,840 --> 00:01:05,160 Speaker 1: looks like a really strong report. 19 00:01:05,400 --> 00:01:09,399 Speaker 4: It is, and it's led by something we all expected. 20 00:01:09,560 --> 00:01:12,840 Speaker 4: Data centers. You know, that's where you are seeing the demand. 21 00:01:12,920 --> 00:01:18,199 Speaker 4: We saw that in UH Google's results yesterday and UH Look, 22 00:01:18,240 --> 00:01:23,760 Speaker 4: the CPU side is something that Intel has had a monopoly. 23 00:01:23,280 --> 00:01:24,000 Speaker 2: Over the years. 24 00:01:24,040 --> 00:01:27,760 Speaker 4: They obviously lost the plot, but now, uh, they seem 25 00:01:27,800 --> 00:01:30,600 Speaker 4: to be coming back. The only thing I'm not very 26 00:01:30,640 --> 00:01:36,040 Speaker 4: sure about is how it translates into sustainable demand because 27 00:01:36,120 --> 00:01:40,280 Speaker 4: everyone else is also making CPUs, whether it's in media, 28 00:01:40,360 --> 00:01:45,360 Speaker 4: whether it's Google, uh, you know, even the likes of AMDs, 29 00:01:46,080 --> 00:01:49,680 Speaker 4: they're all focused on CPUs. So Intel is not a 30 00:01:49,840 --> 00:01:52,920 Speaker 4: monopoly that it used to be. And that's where the 31 00:01:52,960 --> 00:01:55,280 Speaker 4: sustainable expectations going. 32 00:01:55,080 --> 00:01:57,960 Speaker 2: In the quarter were really low. So they did beat that. 33 00:01:58,080 --> 00:02:01,080 Speaker 3: So then why are why are people buying Intels rather 34 00:02:01,160 --> 00:02:04,440 Speaker 3: than AMDs or in videos like what if this is? 35 00:02:04,440 --> 00:02:06,480 Speaker 5: Is it a commodity? This part of the business. 36 00:02:06,680 --> 00:02:11,000 Speaker 4: So if you're just looking for a CPU, Intel still 37 00:02:11,040 --> 00:02:14,120 Speaker 4: has that foundry where they make the most CPUs, and 38 00:02:14,160 --> 00:02:17,200 Speaker 4: it makes sense for anybody to go to Intel if 39 00:02:17,240 --> 00:02:20,280 Speaker 4: you're looking for systems, which is what Google said. They're 40 00:02:20,320 --> 00:02:25,120 Speaker 4: selling TPU systems now, right. A TPU system has got 41 00:02:25,160 --> 00:02:29,760 Speaker 4: an accelerator, it's got CPU, it's got networking, it's got everything. 42 00:02:30,120 --> 00:02:32,720 Speaker 4: That's what all these companies are doing with their data 43 00:02:32,760 --> 00:02:36,280 Speaker 4: centers now because they're selling a complete system where CPU 44 00:02:36,320 --> 00:02:39,360 Speaker 4: is one of the building blocks. Intel is not selling 45 00:02:39,400 --> 00:02:41,800 Speaker 4: you a system, They're just selling you a chip. 46 00:02:41,960 --> 00:02:42,639 Speaker 2: Kind of says to me. 47 00:02:42,960 --> 00:02:46,040 Speaker 1: Not a great business plan, is it. So how do 48 00:02:46,120 --> 00:02:47,920 Speaker 1: you make sense whether or not. 49 00:02:48,600 --> 00:02:52,120 Speaker 4: I think it's too early to compare Intel to the 50 00:02:52,360 --> 00:02:56,040 Speaker 4: like Sofa and Video or you know what Google told 51 00:02:56,080 --> 00:03:00,520 Speaker 4: us with their TPU systems. It's still a very early 52 00:03:00,639 --> 00:03:05,359 Speaker 4: stage opportunity for Intel. On the data center side, again, 53 00:03:05,480 --> 00:03:09,240 Speaker 4: expectations were really rock bottom. So they came out they 54 00:03:09,240 --> 00:03:12,280 Speaker 4: beat that data center number by seven hundred million. Great, 55 00:03:12,919 --> 00:03:16,400 Speaker 4: But if I look at the sustainability of what you 56 00:03:16,680 --> 00:03:19,320 Speaker 4: Google plans to do or what Nvidia plans to do, 57 00:03:19,880 --> 00:03:23,080 Speaker 4: Intel is not in that category yet. And that's where 58 00:03:23,520 --> 00:03:27,440 Speaker 4: you need for them to execute much better on the 59 00:03:27,520 --> 00:03:31,000 Speaker 4: data center side, in terms of having a GPU, having 60 00:03:31,000 --> 00:03:34,280 Speaker 4: more on the networking side, having a system's play, which 61 00:03:34,320 --> 00:03:36,320 Speaker 4: is what we are hearing from AMD. By the way, 62 00:03:36,400 --> 00:03:39,680 Speaker 4: That's what AMD is after, That's what Broadcom is after. 63 00:03:40,080 --> 00:03:44,080 Speaker 4: So I'm not ready to put Intel in that basket 64 00:03:44,120 --> 00:03:46,000 Speaker 4: of companies that have systems. 65 00:03:45,640 --> 00:03:46,920 Speaker 2: Opperately, they need to get there. 66 00:03:47,920 --> 00:03:50,720 Speaker 4: I think it's a big challenge. I mean, you have 67 00:03:50,800 --> 00:03:54,840 Speaker 4: to remember Intel underperformed for a period of five six 68 00:03:54,960 --> 00:03:58,760 Speaker 4: years where they just had things going down. So for 69 00:03:58,840 --> 00:04:01,920 Speaker 4: them to come back, it's going to take a while. 70 00:04:01,960 --> 00:04:04,600 Speaker 4: I mean the foundery side is where they could get 71 00:04:04,640 --> 00:04:07,520 Speaker 4: help from the US government's stake, and you know there 72 00:04:07,560 --> 00:04:11,360 Speaker 4: could they could land more customers in terms of founder usage. 73 00:04:11,840 --> 00:04:15,640 Speaker 4: But in terms of again comparing them to someone like Nvidia, 74 00:04:15,800 --> 00:04:16,839 Speaker 4: we are far off. 75 00:04:16,640 --> 00:04:18,160 Speaker 5: From should we compare them to in video? 76 00:04:19,360 --> 00:04:22,960 Speaker 4: I mean, Nvidia is making their own CPUs, and Nvidia 77 00:04:23,040 --> 00:04:26,640 Speaker 4: will tell you they already generate up to twenty billion 78 00:04:26,680 --> 00:04:29,800 Speaker 4: dollars by selling CPUs as part of their system. So 79 00:04:30,000 --> 00:04:33,520 Speaker 4: Intel has Nvidia has already surpassed Intel in terms of, 80 00:04:33,720 --> 00:04:37,800 Speaker 4: you know, the CPU side of that equation. So what to. 81 00:04:37,960 --> 00:04:41,160 Speaker 1: Tim's question or Tim's point, man deep like, what is 82 00:04:41,680 --> 00:04:45,520 Speaker 1: again the role of Intel in the future in the 83 00:04:45,520 --> 00:04:49,760 Speaker 1: world of semiconductors. There's still value there, there's still a 84 00:04:49,800 --> 00:04:50,720 Speaker 1: good business there. 85 00:04:50,920 --> 00:04:55,240 Speaker 4: Yeah, So think of it as traditional data centers versus 86 00:04:55,279 --> 00:04:56,440 Speaker 4: AI data centers. 87 00:04:57,440 --> 00:05:00,120 Speaker 2: For all the traditional data centers, Intel. 88 00:05:00,120 --> 00:05:03,920 Speaker 4: Is great because they have those servers that companies were 89 00:05:04,040 --> 00:05:07,680 Speaker 4: using that they need to refresh and now Intel has 90 00:05:07,720 --> 00:05:10,680 Speaker 4: the ability to give them the latest servers that, by 91 00:05:10,720 --> 00:05:14,599 Speaker 4: the way, you need latest CPU servers to run these 92 00:05:14,720 --> 00:05:19,520 Speaker 4: agentic workloads. So when you deploy AI so far it 93 00:05:19,640 --> 00:05:24,440 Speaker 4: was just training for inferencing, you need CPUs and that's 94 00:05:24,520 --> 00:05:28,560 Speaker 4: where if an enterprise is looking to refresh their old servers, 95 00:05:29,040 --> 00:05:32,680 Speaker 4: they'll go for Intel. They won't buy in video systems 96 00:05:32,720 --> 00:05:36,000 Speaker 4: because you don't need to do that for your traditional 97 00:05:36,040 --> 00:05:40,479 Speaker 4: data centers. You buy Nvidia systems for your AI data centers, 98 00:05:40,800 --> 00:05:44,240 Speaker 4: which need a lot more power, which have different specs altogether. 99 00:05:44,520 --> 00:05:48,120 Speaker 1: So who's their biggest competitor then in that particular universe? 100 00:05:48,640 --> 00:05:49,000 Speaker 2: Amd? 101 00:05:49,200 --> 00:05:53,120 Speaker 4: Yeah, okay, but AMD just talked about how they are 102 00:05:53,200 --> 00:05:58,359 Speaker 4: focused on that system's opportunity to so everyone realizes the 103 00:05:58,520 --> 00:06:02,560 Speaker 4: larger opportunity is a data centers, it's not your traditional 104 00:06:02,680 --> 00:06:06,560 Speaker 4: data centers. So that's where the sustainability of this growth. 105 00:06:06,920 --> 00:06:08,839 Speaker 4: I mean, we are coming off a very low base. 106 00:06:09,200 --> 00:06:12,279 Speaker 4: So yeah, they grew, you know whatever, sixty percent, that's great, 107 00:06:12,880 --> 00:06:17,400 Speaker 4: But can you sustain eighty percent type growth that Nvidia 108 00:06:17,440 --> 00:06:18,839 Speaker 4: has shown they can. 109 00:06:18,920 --> 00:06:21,480 Speaker 2: Over a period of time? And that's the real question here. 110 00:06:21,600 --> 00:06:22,479 Speaker 5: So this business that. 111 00:06:22,680 --> 00:06:25,640 Speaker 1: Seems to be kind of unique to Intel for those 112 00:06:25,680 --> 00:06:28,559 Speaker 1: who are kind of doing upgrades right on their data 113 00:06:28,560 --> 00:06:32,640 Speaker 1: centers for inferencing. I mean, at some point does that 114 00:06:32,720 --> 00:06:35,400 Speaker 1: go away and people are more focused on the bigger 115 00:06:35,480 --> 00:06:38,080 Speaker 1: data centers or no companies are going to need it. 116 00:06:38,360 --> 00:06:41,279 Speaker 4: You need more compute. The question is how much is 117 00:06:41,440 --> 00:06:45,000 Speaker 4: Nvidia going to sell in terms of CPUs versus how 118 00:06:45,080 --> 00:06:49,960 Speaker 4: much opportunity is left for Intel as a standalone CPU provider, 119 00:06:50,000 --> 00:06:54,919 Speaker 4: because remember Nvidia is bundling everything. Google TPUs are bundling 120 00:06:55,000 --> 00:07:00,279 Speaker 4: everything and saying CPUs are just one component of agentic workloads. Yeah, 121 00:07:00,400 --> 00:07:04,960 Speaker 4: so why would enterprises keep buying from Intel where they 122 00:07:05,040 --> 00:07:07,720 Speaker 4: have to get other components from other providers. 123 00:07:08,240 --> 00:07:11,080 Speaker 3: The stock is up, I mean, this was the best 124 00:07:11,080 --> 00:07:13,680 Speaker 3: perform sorry, the third best performing stock in the S 125 00:07:13,720 --> 00:07:15,720 Speaker 3: and P five hundred, Yeah, in the first half of 126 00:07:15,760 --> 00:07:18,520 Speaker 3: the year. But this month it's just gotten crushed. And 127 00:07:18,560 --> 00:07:20,120 Speaker 3: part of that has had to do with just how 128 00:07:20,160 --> 00:07:22,680 Speaker 3: how much it's run high. I mean, this was a 129 00:07:22,720 --> 00:07:25,040 Speaker 3: stock that was on June twenty second at one hundred 130 00:07:25,040 --> 00:07:27,440 Speaker 3: and forty one dollars per share. Now it's at about 131 00:07:27,440 --> 00:07:29,600 Speaker 3: one hundred dollars a share. As of the clothes if 132 00:07:29,640 --> 00:07:31,200 Speaker 3: you're take into account to move high right now, it's 133 00:07:31,200 --> 00:07:32,120 Speaker 3: at about one hundred and. 134 00:07:32,080 --> 00:07:33,720 Speaker 5: Eleven dollars per share. 135 00:07:34,120 --> 00:07:39,360 Speaker 3: What was the weakness this month that had investors thinking that, Okay, 136 00:07:39,600 --> 00:07:41,480 Speaker 3: the bar is actually pretty low for this report. 137 00:07:41,760 --> 00:07:47,920 Speaker 4: Expectations overall semis as a complex, I think corrected. People 138 00:07:47,960 --> 00:07:50,200 Speaker 4: took a lot of profits. We even saw the memory 139 00:07:50,320 --> 00:07:52,679 Speaker 4: names go down, so I don't think there was anything 140 00:07:52,760 --> 00:07:55,960 Speaker 4: unique to Intel over there. But with that being said, 141 00:07:56,000 --> 00:07:59,160 Speaker 4: things have come back on the semi side, you know, 142 00:07:59,560 --> 00:08:03,040 Speaker 4: very quick we had. It feels like we had somewhat 143 00:08:03,040 --> 00:08:05,800 Speaker 4: of a correction and then things rebounded fairly quickly. And 144 00:08:05,840 --> 00:08:09,840 Speaker 4: the Google report with them raising capex, I'm expecting every 145 00:08:09,960 --> 00:08:14,160 Speaker 4: hyperscaler will raise capex, will get what all the semiconductor 146 00:08:14,240 --> 00:08:17,400 Speaker 4: names will catch a bit because of the capex increase. 147 00:08:17,480 --> 00:08:19,160 Speaker 3: Okay, you mentioned Alphabet, and we're supposed to be talking 148 00:08:19,160 --> 00:08:21,200 Speaker 3: about Intel right now, but you mentioned Alphabet, so we'll 149 00:08:21,240 --> 00:08:21,440 Speaker 3: go there. 150 00:08:21,480 --> 00:08:23,000 Speaker 5: Alphabet just got crushed today. 151 00:08:23,800 --> 00:08:25,760 Speaker 2: Why because they're raising their capex. 152 00:08:25,800 --> 00:08:27,480 Speaker 5: But raising capex is good. 153 00:08:28,200 --> 00:08:32,439 Speaker 4: It's good for the semiconductor companies, not for someone like Alphabet. 154 00:08:32,559 --> 00:08:34,320 Speaker 3: Right in the past, it's sometimes been good for a 155 00:08:34,320 --> 00:08:37,160 Speaker 3: company like Alphabet because it indicates demand and you know, 156 00:08:37,200 --> 00:08:40,960 Speaker 3: when they spend that money, they will to build infrastructure. 157 00:08:40,960 --> 00:08:43,319 Speaker 3: That infrastructure will be used and generate revel. 158 00:08:43,280 --> 00:08:45,800 Speaker 4: Yeah, and they are showing that in their cloud segment. 159 00:08:45,880 --> 00:08:48,720 Speaker 4: We talked about how fast it's growing eighty two percent. 160 00:08:48,800 --> 00:08:52,520 Speaker 4: But market will always get nervous when you are talking 161 00:08:52,559 --> 00:08:55,400 Speaker 4: these big numbers. I mean, we are talking about trillion 162 00:08:55,480 --> 00:08:59,600 Speaker 4: dollars in capex by these five big hyperscalers next year. 163 00:09:00,040 --> 00:09:02,199 Speaker 4: That's a twenty twenty seven consensus number. 164 00:09:02,400 --> 00:09:05,400 Speaker 1: Can we say? Because I think people think about the 165 00:09:05,480 --> 00:09:08,800 Speaker 1: spend on AI and the build kind of akin to 166 00:09:08,840 --> 00:09:13,000 Speaker 1: building out you know, energy markets. Right, It's it's expensive 167 00:09:13,000 --> 00:09:14,560 Speaker 1: to do this stuff and you have to think about 168 00:09:14,559 --> 00:09:19,120 Speaker 1: the longer term trend. But have the tech sector been 169 00:09:19,200 --> 00:09:21,720 Speaker 1: burned enough like the oil patch? 170 00:09:22,120 --> 00:09:22,320 Speaker 2: Yeah? 171 00:09:22,760 --> 00:09:25,240 Speaker 1: I mean semiconductors certainly have seen the booms and bus 172 00:09:25,440 --> 00:09:26,160 Speaker 1: they haven't. 173 00:09:26,760 --> 00:09:29,480 Speaker 4: I mean you drew the comparison to the energy markets 174 00:09:29,520 --> 00:09:33,400 Speaker 4: and the oil market. Those are regulated companies. Imagine after 175 00:09:33,559 --> 00:09:38,000 Speaker 4: all this spend. Yeah, if these companies became regulated and 176 00:09:38,200 --> 00:09:42,560 Speaker 4: guess what, you can't really maximize your profits anymore, that 177 00:09:42,600 --> 00:09:45,520 Speaker 4: would be very interesting, you know. So there's always that 178 00:09:45,640 --> 00:09:49,680 Speaker 4: risk with these large ended models. The government may decide 179 00:09:50,040 --> 00:09:53,080 Speaker 4: these two companies are too powerful in terms of the 180 00:09:53,080 --> 00:09:57,240 Speaker 4: models they have developed, they need to you know, limit 181 00:09:57,720 --> 00:10:00,439 Speaker 4: their hold and that's a big risk it comes to 182 00:10:00,480 --> 00:10:01,360 Speaker 4: those copecks. 183 00:10:01,040 --> 00:10:02,800 Speaker 1: With we already have a government that's looking at the 184 00:10:02,840 --> 00:10:06,040 Speaker 1: power usage and thinking about what their responsibility is. Right, 185 00:10:06,040 --> 00:10:08,559 Speaker 1: some of the tech companies in terms of data centers, I. 186 00:10:08,480 --> 00:10:10,719 Speaker 3: Want to bring in Ad Ludlow, the host of Bloomberg Tech. 187 00:10:10,720 --> 00:10:12,760 Speaker 3: You're standing by in San Francisco and you spoke to 188 00:10:12,840 --> 00:10:16,040 Speaker 3: Dave Sisner, the Intel CFO. You also spoke to lit Bhutan, 189 00:10:16,320 --> 00:10:18,960 Speaker 3: the CEO of Intel, along with Ian King and some 190 00:10:19,000 --> 00:10:21,160 Speaker 3: reporting on the terminal. What did you learn from them 191 00:10:21,160 --> 00:10:24,280 Speaker 3: in their commentary that sort of adds to what we 192 00:10:24,320 --> 00:10:25,880 Speaker 3: heard in terms of numbers from this quarter. 193 00:10:26,760 --> 00:10:29,520 Speaker 6: Yeah, I mean this is a CPU story, right. There's 194 00:10:29,679 --> 00:10:32,960 Speaker 6: just very high data center demand for CPU and that 195 00:10:33,160 --> 00:10:35,640 Speaker 6: is the game that Intel's in. It's the part of 196 00:10:35,679 --> 00:10:38,920 Speaker 6: the AI story that they have been able to get 197 00:10:38,920 --> 00:10:42,559 Speaker 6: and hold onto. And you know, right now, Intel's in 198 00:10:42,600 --> 00:10:45,800 Speaker 6: a position where it's doing everything it can to improve 199 00:10:46,480 --> 00:10:49,880 Speaker 6: its production. You know, they are in a place where 200 00:10:50,160 --> 00:10:54,160 Speaker 6: demand for their CPUs in the data center server context 201 00:10:54,600 --> 00:10:58,400 Speaker 6: is outpacing their improving supply. So they're doing a better job. 202 00:10:58,400 --> 00:10:59,800 Speaker 6: But they're still leaving a bit of money on the 203 00:10:59,840 --> 00:11:03,079 Speaker 6: t able because they just cannot meet one hundred percent 204 00:11:03,080 --> 00:11:05,839 Speaker 6: of the orders that are being placed. That is, as 205 00:11:05,920 --> 00:11:09,400 Speaker 6: lit Boo put it, a good problem to have. But 206 00:11:09,559 --> 00:11:12,240 Speaker 6: right now, if you look at the aftermarket trade completely 207 00:11:12,280 --> 00:11:14,240 Speaker 6: in line what Mandi it's been outlining as well. It 208 00:11:14,320 --> 00:11:16,679 Speaker 6: is the capital expenditure story. Once again, it's kind of 209 00:11:16,720 --> 00:11:17,640 Speaker 6: moving the needle. 210 00:11:17,400 --> 00:11:19,920 Speaker 1: Here because people have to buy and they have to 211 00:11:19,920 --> 00:11:20,680 Speaker 1: buy from Intel. 212 00:11:21,000 --> 00:11:24,680 Speaker 4: Is that it? But Intel has the foundry capacity to 213 00:11:24,880 --> 00:11:28,400 Speaker 4: produce that. So if they're complaining about supply, Yeah, to me, 214 00:11:28,520 --> 00:11:29,199 Speaker 4: that's surprising. 215 00:11:29,320 --> 00:11:30,559 Speaker 2: You've got all the fabs. 216 00:11:30,600 --> 00:11:34,320 Speaker 4: You're not going to TSMC to make those CPUs, right, 217 00:11:34,400 --> 00:11:36,560 Speaker 4: So I'm a little surprised there. 218 00:11:36,880 --> 00:11:39,079 Speaker 1: What would be the question then you would be asking 219 00:11:39,160 --> 00:11:40,040 Speaker 1: LiPo like. 220 00:11:40,559 --> 00:11:45,120 Speaker 4: Why is there way for shortages for your own CPUs? 221 00:11:45,800 --> 00:11:48,840 Speaker 4: Like you have the foundries that are based here in 222 00:11:48,880 --> 00:11:52,240 Speaker 4: the US, why can't you ramp them up faster to 223 00:11:52,360 --> 00:11:54,520 Speaker 4: meet the demand that you see? 224 00:11:55,679 --> 00:12:01,000 Speaker 5: What do it? Just ramp it up? Come on, though, you. 225 00:12:00,960 --> 00:12:02,840 Speaker 1: Know, as we continue to go through these numbers, what 226 00:12:02,880 --> 00:12:03,960 Speaker 1: else is jumping out for you? 227 00:12:04,640 --> 00:12:04,840 Speaker 5: Yeah? 228 00:12:04,840 --> 00:12:06,320 Speaker 6: Well, just on and Deep's point, I think you know 229 00:12:06,800 --> 00:12:08,679 Speaker 6: a quarter ago when I spoke to Libby on the phone, 230 00:12:08,720 --> 00:12:11,280 Speaker 6: he was very honest that they had not been doing 231 00:12:11,280 --> 00:12:14,280 Speaker 6: a good job, like they were not very good at 232 00:12:14,320 --> 00:12:17,440 Speaker 6: building their own products, and that is a problem. And 233 00:12:17,480 --> 00:12:19,760 Speaker 6: I think what he's saying now is that that's getting better. 234 00:12:20,240 --> 00:12:23,400 Speaker 6: They are improving their own supply, but they're not yet 235 00:12:23,480 --> 00:12:26,719 Speaker 6: that they yet, you know, it's a process. I think 236 00:12:26,720 --> 00:12:30,320 Speaker 6: the other thing as well, you know, with Intel, you 237 00:12:30,360 --> 00:12:34,920 Speaker 6: know the foundry business, we still don't have anything concrete 238 00:12:35,240 --> 00:12:38,920 Speaker 6: on which technology companies around the world are customers of 239 00:12:38,960 --> 00:12:41,880 Speaker 6: Intel for foundry and their latest processes. But if you 240 00:12:41,880 --> 00:12:44,040 Speaker 6: think about the capex guide, So what Dave's into the 241 00:12:44,040 --> 00:12:46,480 Speaker 6: CFO told me is that capex this year will now 242 00:12:46,520 --> 00:12:49,920 Speaker 6: be higher about twenty billion dollars. The previous guide was 243 00:12:49,920 --> 00:12:52,520 Speaker 6: about eighteen and it would also represent your on year 244 00:12:52,559 --> 00:12:57,520 Speaker 6: capex growth. But he also absolutely underscored that lit Bhutan 245 00:12:57,679 --> 00:13:00,800 Speaker 6: is a very cautious guy. He does not employee capital 246 00:13:00,880 --> 00:13:03,760 Speaker 6: and improve or increase capex unless he's sure he's going 247 00:13:03,800 --> 00:13:05,720 Speaker 6: to get a return on it. And so that's what 248 00:13:05,920 --> 00:13:09,679 Speaker 6: they're trying to argue for now that they see demand 249 00:13:09,800 --> 00:13:13,439 Speaker 6: enough where they're willing to spend on the tooling side, specifically, 250 00:13:13,480 --> 00:13:17,840 Speaker 6: not the space side, to increase that capacity because they 251 00:13:17,880 --> 00:13:19,800 Speaker 6: think they have the customer customer demand there. 252 00:13:19,920 --> 00:13:20,880 Speaker 5: But man deep. 253 00:13:20,880 --> 00:13:24,520 Speaker 3: But you know, as Ian King has reminded us over 254 00:13:24,559 --> 00:13:28,280 Speaker 3: and over again, this stuff can be cyclical, and Intel 255 00:13:28,320 --> 00:13:31,560 Speaker 3: has learned the hard way that the investments don't always 256 00:13:31,600 --> 00:13:33,800 Speaker 3: pay off. They have a do they have to tell 257 00:13:33,840 --> 00:13:38,600 Speaker 3: investors a different story that this time, we know that 258 00:13:38,640 --> 00:13:40,400 Speaker 3: where we're spending the money is the right place to 259 00:13:40,400 --> 00:13:41,480 Speaker 3: spend the money. 260 00:13:41,600 --> 00:13:43,240 Speaker 2: I mean, right now, I think. 261 00:13:44,160 --> 00:13:46,640 Speaker 3: Or is everybody's just throwing money at everything and it's fine. 262 00:13:46,679 --> 00:13:51,360 Speaker 4: Everyone realizes the demand is huge. And you know, if 263 00:13:51,400 --> 00:13:55,160 Speaker 4: there's one common thread across all the narratives we hear 264 00:13:56,000 --> 00:14:00,240 Speaker 4: is the demand for our strips supply. So why would 265 00:14:00,280 --> 00:14:03,120 Speaker 4: you not be doubling down at this time, especially for 266 00:14:03,200 --> 00:14:06,880 Speaker 4: something where you had a monopoly in the past, until 267 00:14:06,920 --> 00:14:10,880 Speaker 4: there is a product related reason, Like I said, you know, 268 00:14:10,960 --> 00:14:14,319 Speaker 4: if it's a systems aspect where you know companies are 269 00:14:14,320 --> 00:14:17,040 Speaker 4: not going to buy CPUs from you because they want 270 00:14:17,120 --> 00:14:20,200 Speaker 4: more systems level the type of product, then I understand. 271 00:14:20,680 --> 00:14:23,600 Speaker 4: But without that, I see no reason why they wouldn't 272 00:14:23,600 --> 00:14:27,120 Speaker 4: be aggressive on Kapex just because there is demand and 273 00:14:27,720 --> 00:14:29,080 Speaker 4: they have the FABS. 274 00:14:28,760 --> 00:14:32,680 Speaker 1: Well, I love low. I mean the Bhutan being cautious 275 00:14:32,720 --> 00:14:36,440 Speaker 1: and careful. Might that be a you know, not as downfall, 276 00:14:36,440 --> 00:14:38,800 Speaker 1: I'm not going to say that, but problematic when if 277 00:14:38,840 --> 00:14:40,560 Speaker 1: the demand is there, as we're just talking about with 278 00:14:40,600 --> 00:14:42,800 Speaker 1: men deep, you know, you want to spend to kind 279 00:14:42,840 --> 00:14:44,400 Speaker 1: of make sure you don't miss out on that. 280 00:14:45,480 --> 00:14:48,360 Speaker 6: Yeah, I mean they again are going on the data 281 00:14:48,360 --> 00:14:51,160 Speaker 6: they have available, which is customer demand. You know, they 282 00:14:51,200 --> 00:14:54,400 Speaker 6: have this line Intel which is so consistent on which 283 00:14:54,480 --> 00:14:58,320 Speaker 6: is like when a customer signs up to use our 284 00:14:58,400 --> 00:15:01,760 Speaker 6: latest chip making process, we don't announce it. We leave 285 00:15:01,800 --> 00:15:03,880 Speaker 6: it to the customer. Problem for them is none of 286 00:15:03,920 --> 00:15:07,200 Speaker 6: the customers have announced it. All they'll say is that 287 00:15:07,280 --> 00:15:11,760 Speaker 6: they signed loads of deals, loads of LTA's they call 288 00:15:11,800 --> 00:15:13,760 Speaker 6: them in the first six months of this year and 289 00:15:13,800 --> 00:15:15,920 Speaker 6: they were like, okay, so we have the deals. That 290 00:15:16,000 --> 00:15:19,400 Speaker 6: gives us confidence to invest. I think, you know, I 291 00:15:19,440 --> 00:15:21,800 Speaker 6: think we'll learn more overnight. Right, all of the cell 292 00:15:21,880 --> 00:15:24,160 Speaker 6: side notes will come out, whatever questions get asked on 293 00:15:24,160 --> 00:15:26,080 Speaker 6: the call give you a sense of the psychology of 294 00:15:26,120 --> 00:15:28,680 Speaker 6: where the cell size at. But it is astonishing that 295 00:15:28,720 --> 00:15:31,360 Speaker 6: the stock's up twelve percent in after hours, given it 296 00:15:31,400 --> 00:15:34,280 Speaker 6: was up one hundred and seventy two percent going into 297 00:15:34,320 --> 00:15:36,840 Speaker 6: today's close, It's like, but it. 298 00:15:36,800 --> 00:15:38,760 Speaker 5: Got to eat up. But ed it was at what 299 00:15:38,880 --> 00:15:40,320 Speaker 5: over one thirty a few weeks ago? 300 00:15:40,440 --> 00:15:43,440 Speaker 6: It was or so in the last year, right, I mean, 301 00:15:43,520 --> 00:15:45,440 Speaker 6: you know, one week a market does not make the 302 00:15:45,480 --> 00:15:48,120 Speaker 6: pro session of market doesn't make. But you know, to answer, 303 00:15:48,600 --> 00:15:50,520 Speaker 6: you know, there was a point in history where Intel 304 00:15:50,560 --> 00:15:52,600 Speaker 6: was the absolute best at this, Yeah, and they had 305 00:15:52,640 --> 00:15:56,160 Speaker 6: sixty percent margins. They're not near that, right, There's still 306 00:15:56,200 --> 00:15:58,440 Speaker 6: like a lot of stuff to fix here, and I 307 00:15:58,440 --> 00:16:00,960 Speaker 6: don't think they're saying that they're close of that. They're 308 00:16:01,000 --> 00:16:02,560 Speaker 6: just saying that they're making progress. 309 00:16:03,200 --> 00:16:05,240 Speaker 1: Final thoughts as we wrap up from you, Mandy, I 310 00:16:05,280 --> 00:16:08,400 Speaker 1: mean I would like to see a backlog number alluded 311 00:16:08,480 --> 00:16:09,440 Speaker 1: to LTA's. 312 00:16:10,120 --> 00:16:13,320 Speaker 4: Like with Micron, they signed ltas, but they also gave 313 00:16:13,840 --> 00:16:17,800 Speaker 4: visibility into pricing and how much that backlog is in 314 00:16:17,880 --> 00:16:21,800 Speaker 4: terms of those ltas. So if Intel really has that 315 00:16:21,920 --> 00:16:26,320 Speaker 4: sort of visibility with their customers the ltas, then they 316 00:16:26,360 --> 00:16:29,440 Speaker 4: should give a backlog number so that Street can model that. 317 00:16:29,880 --> 00:16:32,680 Speaker 4: You know, Okay, this is how CPUs will ramp up 318 00:16:32,840 --> 00:16:36,760 Speaker 4: to me. Really, it's about sustainability of growth here once 319 00:16:36,840 --> 00:16:39,240 Speaker 4: the numbers get normalized, because we are coming off a 320 00:16:39,280 --> 00:16:40,320 Speaker 4: really low base here. 321 00:16:40,520 --> 00:16:42,040 Speaker 1: Now that's a really good point, right, you got to 322 00:16:42,040 --> 00:16:43,120 Speaker 1: think about where we're coming from. 323 00:16:43,240 --> 00:16:43,280 Speaker 5: Ed. 324 00:16:43,360 --> 00:16:44,040 Speaker 4: Final thought. 325 00:16:45,360 --> 00:16:48,680 Speaker 6: Just that you know, they'll be pushed on giving more 326 00:16:48,680 --> 00:16:51,320 Speaker 6: detail on customers. Something that did not come up, and 327 00:16:51,360 --> 00:16:54,080 Speaker 6: I really, you know, I think it's interesting is you know, 328 00:16:54,080 --> 00:16:57,480 Speaker 6: we haven't discussed terror fab and the partnership that's in 329 00:16:57,560 --> 00:17:00,840 Speaker 6: place with Musk, and you know, it's unlike Litboo just 330 00:17:00,960 --> 00:17:03,800 Speaker 6: kind of talk openly about that. But I would say 331 00:17:03,840 --> 00:17:06,680 Speaker 6: that ASML got asked about it, and last night Musk 332 00:17:06,800 --> 00:17:09,520 Speaker 6: was name checking Micron all over the place, so it 333 00:17:09,560 --> 00:17:11,520 Speaker 6: could come up. And to me, that's you know, Musk 334 00:17:11,680 --> 00:17:12,840 Speaker 6: is news and there we go. 335 00:17:13,520 --> 00:17:16,920 Speaker 1: Nah, it never makes news. Good stuff. Guys, Hey, thank 336 00:17:16,960 --> 00:17:18,840 Speaker 1: you so much. Of course, our Ed lolo out there 337 00:17:18,840 --> 00:17:22,440 Speaker 1: in San Francisco. He is host of Bloomberg Tech and 338 00:17:22,440 --> 00:17:23,880 Speaker 1: our man Deep sing right here. 339 00:17:23,680 --> 00:17:24,280 Speaker 4: In our studio. 340 00:17:24,400 --> 00:17:27,359 Speaker 1: He's a Bloomberg Intelligence Global Head of Technology Research. You guys, 341 00:17:27,600 --> 00:17:28,280 Speaker 1: thank you, thank you,