1 00:00:02,520 --> 00:00:12,880 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. Bloomberg Tech is alive 2 00:00:12,920 --> 00:00:16,720 Speaker 1: from coast to coast with Caroline Hide in New York 3 00:00:17,040 --> 00:00:19,599 Speaker 1: and ever though in San Francisco. 4 00:00:23,560 --> 00:00:26,639 Speaker 2: This is Bloomberg Tech coming up. Intel plunges after the 5 00:00:26,720 --> 00:00:29,880 Speaker 2: chip maker warned its struggling with manufacturing problems. 6 00:00:29,960 --> 00:00:33,080 Speaker 3: Fas China's largest tech firms get an initial green light 7 00:00:33,159 --> 00:00:36,640 Speaker 3: from Beijing to start preparing orders for videos two hundred. 8 00:00:36,360 --> 00:00:39,879 Speaker 2: AI chips, and after years of drama comes to an 9 00:00:40,000 --> 00:00:43,120 Speaker 2: end as TikTok and its Chinese parent Byte Dance close 10 00:00:43,159 --> 00:00:45,280 Speaker 2: a deal to operate in the US. 11 00:00:45,880 --> 00:00:48,640 Speaker 3: Let's look right now though at US markets as we 12 00:00:48,720 --> 00:00:52,040 Speaker 3: close up this week, a volatile training week to say 13 00:00:52,040 --> 00:00:55,480 Speaker 3: the very least consumed by geopolitics to start, and we 14 00:00:55,600 --> 00:00:57,280 Speaker 3: end with a little bit of green on our screens. 15 00:00:57,280 --> 00:00:59,520 Speaker 3: For the nasat one hundred, we're up five ten percent, 16 00:00:59,600 --> 00:01:02,440 Speaker 3: six tenths. You can see the clallback that happened post 17 00:01:02,520 --> 00:01:07,000 Speaker 3: Davos speech and post President Trump really taking his line 18 00:01:07,000 --> 00:01:09,480 Speaker 3: of sight away from Greenland by force at least. But ed, 19 00:01:09,520 --> 00:01:11,319 Speaker 3: it's all about the chip stocks today and you're digging 20 00:01:11,319 --> 00:01:11,959 Speaker 3: into them. 21 00:01:12,520 --> 00:01:15,679 Speaker 2: So Intel is down a lot, and it's because of 22 00:01:15,760 --> 00:01:17,880 Speaker 2: a sales outlook for the current period that at the 23 00:01:17,920 --> 00:01:21,639 Speaker 2: midpoint was below investor expectations, on track for its biggest 24 00:01:21,680 --> 00:01:24,720 Speaker 2: drop since August of twenty twenty two. But remember this 25 00:01:24,880 --> 00:01:27,319 Speaker 2: was a stock that just in the few weeks we've 26 00:01:27,319 --> 00:01:30,480 Speaker 2: had of twenty twenty six, was up forty seven percent 27 00:01:30,840 --> 00:01:34,600 Speaker 2: as of yesterday's close. The problems are in supply, but 28 00:01:34,720 --> 00:01:38,759 Speaker 2: specifically in execution. Let's get to Bloomberg's chips reporter Ian 29 00:01:38,880 --> 00:01:41,479 Speaker 2: King and Ian You and I spoke with Intel's CEO 30 00:01:41,560 --> 00:01:45,880 Speaker 2: Lit Bhutan on the telephone. He was very clear that actually, 31 00:01:45,959 --> 00:01:48,680 Speaker 2: when they say there are supply issues, a lot of 32 00:01:48,720 --> 00:01:51,280 Speaker 2: this was how Intel tried to manage it. They have 33 00:01:51,440 --> 00:01:54,440 Speaker 2: yield and they have production problems. Explain that to us. 34 00:01:55,200 --> 00:01:57,280 Speaker 4: Yeah, So those are a couple of things here. The 35 00:01:57,320 --> 00:02:01,960 Speaker 4: first was that they basically did believe that the demand 36 00:02:02,160 --> 00:02:04,240 Speaker 4: for some of their best products, which would be the 37 00:02:04,240 --> 00:02:05,120 Speaker 4: server chips. 38 00:02:05,040 --> 00:02:05,360 Speaker 2: Was there. 39 00:02:05,760 --> 00:02:08,920 Speaker 4: Didn't build inventory, didn't assign supply to that, so that 40 00:02:08,960 --> 00:02:11,920 Speaker 4: didn't help. But then the production, which could help you 41 00:02:11,960 --> 00:02:14,359 Speaker 4: out where you get more chips for a production room, 42 00:02:14,440 --> 00:02:17,200 Speaker 4: what's called yield. If that had been better, they would 43 00:02:17,200 --> 00:02:19,200 Speaker 4: have had more chips and been able to meet more supply. 44 00:02:19,360 --> 00:02:22,920 Speaker 4: So they've really left quite a lot of orders on 45 00:02:22,960 --> 00:02:25,400 Speaker 4: the table here and obviously that is not good. 46 00:02:25,720 --> 00:02:27,919 Speaker 3: What does it say about the future of its fab 47 00:02:28,200 --> 00:02:30,640 Speaker 3: business in if you're a solo. 48 00:02:31,280 --> 00:02:33,560 Speaker 4: Well, I mean, I can refer you to what the 49 00:02:33,560 --> 00:02:35,840 Speaker 4: analysts has said, which is, look, if you're out there 50 00:02:36,240 --> 00:02:41,600 Speaker 4: looking for external customers for your factories, your factories have 51 00:02:41,720 --> 00:02:44,560 Speaker 4: to be showing their best side. They have to be 52 00:02:44,840 --> 00:02:47,840 Speaker 4: operating at full of you know, best they can. They 53 00:02:47,880 --> 00:02:50,919 Speaker 4: have to be working, you know, a maximum efficiency. If 54 00:02:50,960 --> 00:02:54,920 Speaker 4: that's not the case, then that obviously hurts your you know, 55 00:02:55,000 --> 00:02:57,080 Speaker 4: your sales pitch to outside customers. 56 00:02:58,400 --> 00:02:59,760 Speaker 5: Intil Intel. 57 00:03:00,440 --> 00:03:04,160 Speaker 2: We also discussed in the context of Intel his efforts 58 00:03:04,200 --> 00:03:08,360 Speaker 2: with the coming fourteen A process right, and I found 59 00:03:08,440 --> 00:03:12,280 Speaker 2: lit Bhutan's candor quite interesting. We tried to push them 60 00:03:12,320 --> 00:03:14,760 Speaker 2: and say where are the customers and his answer was 61 00:03:14,840 --> 00:03:17,240 Speaker 2: until I have a volume commitment on that, I'm not 62 00:03:17,240 --> 00:03:19,160 Speaker 2: going to tell you anything. Just give us a bit 63 00:03:19,160 --> 00:03:21,880 Speaker 2: more of how he tried to explain that foundry business 64 00:03:21,880 --> 00:03:22,600 Speaker 2: in its progress. 65 00:03:23,480 --> 00:03:25,959 Speaker 4: Yeah, I mean, this is him sticking to a line 66 00:03:26,919 --> 00:03:30,120 Speaker 4: of kind of reasoning which I think resonated initially with 67 00:03:30,200 --> 00:03:32,480 Speaker 4: shareholders and then caused a little bit of concern. Basically, 68 00:03:32,520 --> 00:03:36,640 Speaker 4: he's saying, look, this is really expensive building these factories 69 00:03:36,800 --> 00:03:39,800 Speaker 4: and equipping them past the fortune I am not going 70 00:03:39,840 --> 00:03:43,200 Speaker 4: to do that until my customers say, here's an order 71 00:03:43,400 --> 00:03:46,120 Speaker 4: that I can then turn into cash that pays for 72 00:03:46,160 --> 00:03:48,840 Speaker 4: these factories. So that's a very logical, sort of down 73 00:03:48,880 --> 00:03:54,120 Speaker 4: to earth, pragmatic sort of viewpoint, saying that he'll know 74 00:03:54,360 --> 00:03:56,440 Speaker 4: for sure whether he's going to get concrete orders or 75 00:03:56,480 --> 00:03:58,960 Speaker 4: not in the second half of this year and into 76 00:03:59,040 --> 00:04:02,320 Speaker 4: the first half of net. So from the Wall Street perspective, 77 00:04:02,360 --> 00:04:04,280 Speaker 4: that's like we're still in the kind of wait and 78 00:04:04,360 --> 00:04:07,560 Speaker 4: see period in terms of whether Intel can become this 79 00:04:07,720 --> 00:04:10,680 Speaker 4: kind of boundary this rival to TSMC. 80 00:04:11,440 --> 00:04:15,040 Speaker 3: Wonder how the administration is viewing it as a key 81 00:04:15,080 --> 00:04:19,400 Speaker 3: stakeholder in Intel in king great roundup, Thank you, Let's 82 00:04:19,400 --> 00:04:22,040 Speaker 3: turn attuch to a Bloomberg exclusive. Now, Ali Baba ten 83 00:04:22,520 --> 00:04:25,279 Speaker 3: Fighte Dance were then now allowed to prepare orders for 84 00:04:25,320 --> 00:04:28,680 Speaker 3: Invideo's h two hundred AI chips, suggesting that Beijing is 85 00:04:28,720 --> 00:04:32,160 Speaker 3: prioritizing the needs of the major Chinese hyperscalers again close 86 00:04:32,200 --> 00:04:35,840 Speaker 3: to formally approving imports of essential AI components. Let's get 87 00:04:35,839 --> 00:04:39,440 Speaker 3: to bloomog Tech executive editor Peter Elstrom, it's another stepping 88 00:04:39,480 --> 00:04:41,719 Speaker 3: stone that hints Beijing I'll. 89 00:04:41,600 --> 00:04:42,000 Speaker 6: Let them in. 90 00:04:43,920 --> 00:04:46,039 Speaker 5: Yeah, this is a very closely watched drama. 91 00:04:46,120 --> 00:04:48,640 Speaker 7: Of course, Nvidia used to sell lots of AI chips 92 00:04:48,640 --> 00:04:52,160 Speaker 7: into the China market, but Washington and Beijing have been 93 00:04:52,200 --> 00:04:54,800 Speaker 7: battled over exactly what kind of chips are going to 94 00:04:54,839 --> 00:04:57,799 Speaker 7: be sold and what kind of volume. Washington has stopped 95 00:04:57,839 --> 00:05:00,960 Speaker 7: the most advanced chips from go into the market, but 96 00:05:01,000 --> 00:05:03,840 Speaker 7: the Trump administration did approve these age two hundred chips 97 00:05:03,880 --> 00:05:06,120 Speaker 7: to be sold into the market. It wasn't clear whether 98 00:05:06,200 --> 00:05:09,080 Speaker 7: Beijing was going to let its tech companies buy these chips. 99 00:05:09,080 --> 00:05:12,120 Speaker 7: Now now what we're hearing from sources is that they 100 00:05:12,560 --> 00:05:15,919 Speaker 7: have given the go ahead for the key companies you mentioned, Alibaba, 101 00:05:15,920 --> 00:05:18,320 Speaker 7: ten Sent and byte Dance to prepare their orders, to 102 00:05:18,400 --> 00:05:21,200 Speaker 7: tell them how much they want to buy from Nvidia, 103 00:05:21,320 --> 00:05:23,400 Speaker 7: and then they're going to make decisions about when exactly 104 00:05:23,440 --> 00:05:24,800 Speaker 7: this is going to happen. It's going to come with 105 00:05:24,839 --> 00:05:27,120 Speaker 7: some caveats. They do still want to build up the 106 00:05:27,160 --> 00:05:30,040 Speaker 7: domestic industry. They want these companies to also purchase from 107 00:05:30,080 --> 00:05:33,400 Speaker 7: some of the domestic players, which include Wallwe technologies and 108 00:05:33,440 --> 00:05:35,320 Speaker 7: camera con as we've talked about in the show a 109 00:05:35,320 --> 00:05:37,479 Speaker 7: few times before. But it looks like they're going to 110 00:05:37,480 --> 00:05:39,400 Speaker 7: be able to go ahead with those Age two hundreds. 111 00:05:39,880 --> 00:05:43,560 Speaker 2: Yeah, those caveats also include restrictions, right that on both 112 00:05:43,600 --> 00:05:47,680 Speaker 2: sides of this negotiation, there is agreement that the Chinese 113 00:05:47,760 --> 00:05:51,120 Speaker 2: officials that we're hearing from talking about there will not 114 00:05:51,240 --> 00:05:54,200 Speaker 2: be access when it comes to sensitive industries things like that. 115 00:05:54,320 --> 00:05:57,680 Speaker 5: Just break that down, Peter. Yeah, they're concerned. 116 00:05:57,760 --> 00:06:00,680 Speaker 7: They've said this before with the chips and now the 117 00:06:01,000 --> 00:06:01,920 Speaker 7: two hundred chips. 118 00:06:02,040 --> 00:06:02,760 Speaker 5: They're concerned. 119 00:06:02,800 --> 00:06:06,440 Speaker 7: They don't want invidious chips going into sensitive areas like 120 00:06:06,520 --> 00:06:11,080 Speaker 7: the military, like state on enterprises or government agencies for 121 00:06:11,120 --> 00:06:13,360 Speaker 7: that case. So the market's going to be narrower than 122 00:06:13,400 --> 00:06:16,800 Speaker 7: what it would be otherwise. But in Vidia used to again, 123 00:06:16,880 --> 00:06:18,560 Speaker 7: used to sell a lot of chips into this market, 124 00:06:18,680 --> 00:06:21,600 Speaker 7: used to be very very important. Jensen Wong has talked 125 00:06:21,600 --> 00:06:23,680 Speaker 7: about how important it is, and they know that there's 126 00:06:23,760 --> 00:06:25,880 Speaker 7: demand there for these chips, so he'd like to get 127 00:06:25,920 --> 00:06:28,400 Speaker 7: back in. And I think this is not the Age 128 00:06:28,440 --> 00:06:30,280 Speaker 7: two hundreds are not the end of the game here. 129 00:06:30,600 --> 00:06:33,160 Speaker 7: We know that some people in the Trump administration included 130 00:06:33,200 --> 00:06:36,520 Speaker 7: David Sachs have advocated for selling even more in video 131 00:06:36,600 --> 00:06:39,560 Speaker 7: chips into China, and so we think that if this 132 00:06:39,760 --> 00:06:42,159 Speaker 7: is going to move ahead, it's more symbolic of what 133 00:06:42,200 --> 00:06:45,720 Speaker 7: the broader potential is in China for in video if 134 00:06:45,720 --> 00:06:46,599 Speaker 7: they can make this happen. 135 00:06:47,520 --> 00:06:49,960 Speaker 2: Bobergs, Peter Elstrom, thank you very much. Let's get more 136 00:06:49,960 --> 00:06:53,080 Speaker 2: on that story. Joanne Feenie, partner and portfolio manager and 137 00:06:53,200 --> 00:06:55,800 Speaker 2: Advisors Capital Management, long time. 138 00:06:55,560 --> 00:06:57,480 Speaker 5: Coverage of the chip industry. 139 00:06:57,839 --> 00:07:00,200 Speaker 2: Now on the buy side of the table, Joe, and 140 00:07:00,279 --> 00:07:03,680 Speaker 2: you yourself owned some Nvidia. I feel like we've discussed 141 00:07:03,680 --> 00:07:06,560 Speaker 2: different shades of this story many times over on this 142 00:07:06,680 --> 00:07:10,040 Speaker 2: program with you. But at this point, at this juncture, 143 00:07:10,320 --> 00:07:12,720 Speaker 2: and based on the reporting that Peter just gave us, 144 00:07:13,280 --> 00:07:16,960 Speaker 2: do you start to model in some upside for Nvidia 145 00:07:17,080 --> 00:07:20,480 Speaker 2: in the China market and thus think about your positioning 146 00:07:20,520 --> 00:07:21,200 Speaker 2: on that stock. 147 00:07:22,560 --> 00:07:25,840 Speaker 8: Yeah, clearly it's a good sign, right, and it's been 148 00:07:25,920 --> 00:07:29,320 Speaker 8: long and coming, but you know, the size of the 149 00:07:29,360 --> 00:07:33,840 Speaker 8: market opportunity is still hard to define. You know, clearly 150 00:07:34,080 --> 00:07:37,640 Speaker 8: China wants to encourage its own semiconductor industry to catch 151 00:07:37,720 --> 00:07:39,600 Speaker 8: up to some degree to in Vidia. 152 00:07:39,680 --> 00:07:41,920 Speaker 9: But you know, it's a good sign. It's incrementally positive. 153 00:07:41,920 --> 00:07:43,600 Speaker 8: We're not really going to model it in at this 154 00:07:43,640 --> 00:07:47,440 Speaker 8: point because it's hard to know how large it could be. Nevertheless, 155 00:07:47,680 --> 00:07:51,280 Speaker 8: a positive sign opening up that market, and also just 156 00:07:51,440 --> 00:07:55,240 Speaker 8: to you know, continue to make sure, as Jensen Wang 157 00:07:55,240 --> 00:07:58,680 Speaker 8: has put it, that AI applications are built on the 158 00:07:58,960 --> 00:08:02,480 Speaker 8: US technology stat primarily, and because we have the leading 159 00:08:02,520 --> 00:08:03,400 Speaker 8: ships that's appropriate. 160 00:08:04,480 --> 00:08:06,840 Speaker 2: As Jensen one has put it, it's a fifty billion 161 00:08:06,880 --> 00:08:09,600 Speaker 2: dollars per year market opportunity if they can go back 162 00:08:09,600 --> 00:08:12,120 Speaker 2: to China, which is currently a net zero assumption. That 163 00:08:12,240 --> 00:08:14,080 Speaker 2: last bit you said, I really want the joe An 164 00:08:14,120 --> 00:08:17,720 Speaker 2: Foinie take on this. In the White House, the consideration 165 00:08:18,080 --> 00:08:21,239 Speaker 2: was if we don't sell any technology deprecated or otherwise 166 00:08:21,280 --> 00:08:24,400 Speaker 2: into China, then there will be a vacuum which the 167 00:08:24,480 --> 00:08:27,640 Speaker 2: Chinese domestic players will occupy. But there is still this 168 00:08:27,800 --> 00:08:31,480 Speaker 2: national security and competition standpoint. Where do you stand on that? 169 00:08:33,040 --> 00:08:35,960 Speaker 8: Yeah, I'm not a military expert, ed, so I'm going 170 00:08:36,040 --> 00:08:39,640 Speaker 8: to refrain from from talking really about how this could 171 00:08:39,720 --> 00:08:42,040 Speaker 8: change the military, you. 172 00:08:41,960 --> 00:08:43,319 Speaker 9: Know, competitive situation. 173 00:08:43,920 --> 00:08:46,960 Speaker 8: You know, if we don't sell these chips, if Nvidia 174 00:08:47,000 --> 00:08:49,319 Speaker 8: doesn't get to tell these sell these ships, China will 175 00:08:49,360 --> 00:08:53,520 Speaker 8: develop them and they've worked around the you know, less 176 00:08:53,520 --> 00:08:56,840 Speaker 8: capability of their own chips by redesigning you know, inside 177 00:08:56,880 --> 00:08:59,280 Speaker 8: the rats to try to save energy, to try to. 178 00:08:59,200 --> 00:09:01,600 Speaker 9: Boost through put it. And they'll continue to do that, 179 00:09:01,760 --> 00:09:03,440 Speaker 9: and they'll do that in AI applications. 180 00:09:03,480 --> 00:09:05,600 Speaker 8: They are going to do that in military applications, whether 181 00:09:05,679 --> 00:09:07,560 Speaker 8: or not they can use those Nvidia chips there. So, 182 00:09:08,160 --> 00:09:11,640 Speaker 8: you know, I think that the opportunity for US to 183 00:09:11,720 --> 00:09:15,920 Speaker 8: have more sort of input and potential control over the 184 00:09:15,920 --> 00:09:19,240 Speaker 8: future of this AI technology is really a worthwhile goal. 185 00:09:20,080 --> 00:09:24,320 Speaker 3: The administration looking at h two hundreds, the administration probably 186 00:09:24,640 --> 00:09:27,760 Speaker 3: looking at the share fall of Intel today, Joanne, take 187 00:09:27,840 --> 00:09:32,960 Speaker 3: us to your thoughts on the manufacturing well, lackluster performance 188 00:09:33,000 --> 00:09:34,679 Speaker 3: thus far from the company, it seems. 189 00:09:35,160 --> 00:09:37,680 Speaker 9: Yeah, I mean until Caroline has certainly had its problems. 190 00:09:37,720 --> 00:09:40,040 Speaker 8: I mean they went down what is retrospect, the wrong 191 00:09:40,120 --> 00:09:42,400 Speaker 8: path in terms of the process technology. And now they've 192 00:09:42,440 --> 00:09:44,839 Speaker 8: been trying to fix that since Pat Gelsinger was put 193 00:09:44,920 --> 00:09:48,000 Speaker 8: in charge and now with Liptu Bhutan, and clearly we're 194 00:09:48,040 --> 00:09:52,640 Speaker 8: seeing that it's more challenging than perhaps investors recognize. 195 00:09:52,640 --> 00:09:54,640 Speaker 9: And I think investors really got ahead of the story. 196 00:09:54,880 --> 00:09:56,439 Speaker 8: You know, they saw the US government come in and 197 00:09:56,480 --> 00:09:57,920 Speaker 8: take a stake and they felt like, you know, that 198 00:09:58,000 --> 00:10:00,680 Speaker 8: put a floor on the stock price to so degree. 199 00:10:00,840 --> 00:10:02,800 Speaker 8: But you know, Intel is in a situation with you know, 200 00:10:02,840 --> 00:10:06,320 Speaker 8: two things coming out on that report. One, they're gross margins. 201 00:10:06,360 --> 00:10:08,400 Speaker 8: You know, you know they beat a little bit, but 202 00:10:08,440 --> 00:10:11,320 Speaker 8: they beat. It's thirty seven point nine percent. I mean, Intel, 203 00:10:11,720 --> 00:10:15,680 Speaker 8: right should have gross margins above sixty percent, given that 204 00:10:15,679 --> 00:10:18,200 Speaker 8: they're one of two suppliers in the PC business. 205 00:10:18,360 --> 00:10:19,520 Speaker 5: Well, Joe, let me. 206 00:10:19,480 --> 00:10:22,880 Speaker 2: Just say whether they should or not, Whether they should 207 00:10:22,960 --> 00:10:27,320 Speaker 2: or not. Historically they had margins of sixty percent, just 208 00:10:27,360 --> 00:10:28,400 Speaker 2: to jump in on that point. 209 00:10:29,240 --> 00:10:32,240 Speaker 8: That's a very good clarification, at very good point. Should 210 00:10:32,240 --> 00:10:35,040 Speaker 8: in terms of market structure. But now you know they're 211 00:10:35,120 --> 00:10:38,000 Speaker 8: trying to play in the AI market and they're well 212 00:10:38,000 --> 00:10:40,800 Speaker 8: behind and now in videos the leaders, So you know, 213 00:10:40,880 --> 00:10:44,400 Speaker 8: look at invideos margins clearly right for competition to. 214 00:10:44,360 --> 00:10:44,920 Speaker 9: Come in there. 215 00:10:45,640 --> 00:10:48,280 Speaker 8: But you know, with their outlook showing that they've sold 216 00:10:48,280 --> 00:10:50,400 Speaker 8: out of their server CPUs, they're going to have a 217 00:10:50,559 --> 00:10:53,960 Speaker 8: weak quarter this quarter. The yields are lower than they 218 00:10:54,000 --> 00:10:56,600 Speaker 8: would like, and it just you know, people look at 219 00:10:56,600 --> 00:10:58,680 Speaker 8: that gross margin and they see it as a really 220 00:10:58,720 --> 00:11:01,440 Speaker 8: important signal of how much progress they're making in a 221 00:11:01,480 --> 00:11:04,240 Speaker 8: complex manufacturing process. And clearly they're not making as much 222 00:11:04,280 --> 00:11:06,960 Speaker 8: progress as investors will like and as the company would like. 223 00:11:07,360 --> 00:11:09,360 Speaker 8: And so I think it's a particularly risky bed. We 224 00:11:09,400 --> 00:11:12,000 Speaker 8: have not owned Intel for clients. We think that the 225 00:11:12,320 --> 00:11:15,480 Speaker 8: opportunity cost is just too high. You can own a Broadcom, 226 00:11:15,520 --> 00:11:17,640 Speaker 8: which we've owned for you know, eleven years for clients. 227 00:11:17,720 --> 00:11:21,080 Speaker 8: You can own Nvidia, which we've owned for clients since 228 00:11:21,120 --> 00:11:24,600 Speaker 8: twenty twenty two. These are clearly market leaders, and they've 229 00:11:24,760 --> 00:11:28,720 Speaker 8: ironed out the design challenges and through their partners to 230 00:11:28,800 --> 00:11:32,320 Speaker 8: like TSMC, the manufacturing challenges, and so they're delivering. And 231 00:11:32,600 --> 00:11:34,680 Speaker 8: Intel faces now are chicken and an egg problem on 232 00:11:34,679 --> 00:11:36,240 Speaker 8: the fourteen A process. 233 00:11:36,600 --> 00:11:39,959 Speaker 3: Go there on the foundry side there for Joanne, because 234 00:11:40,320 --> 00:11:43,600 Speaker 3: the signals that maybe well, that side of the equation 235 00:11:43,720 --> 00:11:45,920 Speaker 3: still needs more than just the government buying in to 236 00:11:45,920 --> 00:11:48,560 Speaker 3: think that they're going to solidify any partners here and 237 00:11:48,760 --> 00:11:50,720 Speaker 3: building and manufacturing for them. 238 00:11:51,080 --> 00:11:51,280 Speaker 10: Yeah. 239 00:11:51,480 --> 00:11:53,240 Speaker 9: Intel's tried to enter the foundery world. 240 00:11:53,320 --> 00:11:56,000 Speaker 8: We've talked in the past about you know how challenging 241 00:11:56,000 --> 00:11:57,960 Speaker 8: that is to move from producing your own ships to 242 00:11:58,000 --> 00:12:01,120 Speaker 8: move to producing others. The design libraries and all that, 243 00:12:01,160 --> 00:12:04,679 Speaker 8: but they fundamentally need the manufacturing process. And the problem 244 00:12:04,679 --> 00:12:06,839 Speaker 8: that they face right now is that, on the one hand, 245 00:12:06,840 --> 00:12:08,640 Speaker 8: they're saying, hey, we don't want to invest the cap 246 00:12:08,920 --> 00:12:11,440 Speaker 8: x to build up this capacity until we have customers 247 00:12:11,440 --> 00:12:14,000 Speaker 8: locked in. But customers aren't going to lock in unless 248 00:12:14,000 --> 00:12:16,440 Speaker 8: they know they have a manufacturing process that works and 249 00:12:16,520 --> 00:12:18,880 Speaker 8: that can deliver. Because you know, you're designing a product, 250 00:12:19,000 --> 00:12:22,320 Speaker 8: you're designing it years out, and you have to know 251 00:12:22,400 --> 00:12:24,560 Speaker 8: the supply will be there if you commit to a 252 00:12:24,559 --> 00:12:25,880 Speaker 8: certain manufacturing partner. 253 00:12:26,200 --> 00:12:27,840 Speaker 9: So it's a real chick out an egg problem. 254 00:12:27,920 --> 00:12:31,959 Speaker 8: They might have to bet on, you know, on making 255 00:12:32,040 --> 00:12:35,240 Speaker 8: it happen and being able to deliver the customers by 256 00:12:35,280 --> 00:12:37,679 Speaker 8: getting that process up and running and showing that they 257 00:12:37,679 --> 00:12:40,760 Speaker 8: can get yield up in volume even in advance of 258 00:12:40,840 --> 00:12:42,239 Speaker 8: locking down some customers. 259 00:12:42,640 --> 00:12:45,280 Speaker 9: So you know, it's almost a bet the company kind 260 00:12:45,320 --> 00:12:45,720 Speaker 9: of problem. 261 00:12:45,760 --> 00:12:48,840 Speaker 8: And that's why again, as an investor, we're not enthusiastic 262 00:12:48,840 --> 00:12:49,400 Speaker 8: about Intel. 263 00:12:49,480 --> 00:12:50,800 Speaker 9: The risk is simply too high. 264 00:12:50,800 --> 00:12:54,200 Speaker 8: We don't find the current valuation compelling given that risk. 265 00:12:54,280 --> 00:12:56,520 Speaker 8: We think there are better places to be and so 266 00:12:56,559 --> 00:12:57,360 Speaker 8: we're gonna We're. 267 00:12:57,200 --> 00:13:00,880 Speaker 9: Gonna stick with with where we are. For example, and 268 00:13:01,000 --> 00:13:01,319 Speaker 9: am D. 269 00:13:01,440 --> 00:13:04,880 Speaker 8: By the way, that recent result pretty clearly indicated that 270 00:13:04,960 --> 00:13:08,640 Speaker 8: am D is continuing to gain share against Intel, likely 271 00:13:08,679 --> 00:13:12,240 Speaker 8: both in server CPU and in PCCPU. 272 00:13:12,600 --> 00:13:15,920 Speaker 3: Joanne Feeni with all the context Advisors Capital Management, thank 273 00:13:15,960 --> 00:13:16,480 Speaker 3: you so much. 274 00:13:16,480 --> 00:13:19,160 Speaker 6: Happy weekend. Now coming up, Tesla's. 275 00:13:18,800 --> 00:13:22,959 Speaker 3: Robotaxi gets closer to fully autonomous reality is some vehicles 276 00:13:23,040 --> 00:13:25,920 Speaker 3: in Austin feature no human safety monitors in the car. 277 00:13:26,320 --> 00:13:29,400 Speaker 3: While on that next as a Roomberg technology roombog tech, 278 00:13:37,880 --> 00:13:40,720 Speaker 3: so Tesla has begun offering robotaxi rides in a limited 279 00:13:40,800 --> 00:13:43,600 Speaker 3: number of vehicles in Austin with no human safety driver 280 00:13:43,640 --> 00:13:44,320 Speaker 3: behind the wheel. 281 00:13:44,600 --> 00:13:47,080 Speaker 6: In a post on x CEO in a Musk when even. 282 00:13:47,000 --> 00:13:50,320 Speaker 3: Further suggesting that cracking real world self driving technology could 283 00:13:50,400 --> 00:13:54,800 Speaker 3: ultimately lead to artificial general intelligence, Thomas really unpack what 284 00:13:54,840 --> 00:13:57,559 Speaker 3: this moment means for the future of autonomous technology. We're 285 00:13:57,600 --> 00:14:00,880 Speaker 3: joined by Regina Klulo, Managing director of Populace. 286 00:14:00,920 --> 00:14:02,319 Speaker 6: Regina brings more. 287 00:14:02,160 --> 00:14:04,720 Speaker 3: Than a decade of hands on experience and transportation and mobility. 288 00:14:04,760 --> 00:14:07,080 Speaker 3: Look your hold on PhD in transportation and energy systems. 289 00:14:07,320 --> 00:14:09,400 Speaker 6: My team, we should listen to you. Is this a 290 00:14:09,400 --> 00:14:09,840 Speaker 6: big feat? 291 00:14:11,480 --> 00:14:16,400 Speaker 10: This is definitely a significant development it's another major player 292 00:14:16,480 --> 00:14:19,840 Speaker 10: in the autonomous vehicle space, and it shows more confidence 293 00:14:19,840 --> 00:14:24,280 Speaker 10: in the technology, but it's still pretty limited and it's 294 00:14:24,320 --> 00:14:25,640 Speaker 10: definitely an experiment. 295 00:14:26,080 --> 00:14:28,000 Speaker 5: It's an experiment, Regina. I'm just going to jump in. 296 00:14:29,240 --> 00:14:31,960 Speaker 2: People on the Tesla side of the camp say, this 297 00:14:32,040 --> 00:14:34,680 Speaker 2: is a notable moment because it's a first for a 298 00:14:34,800 --> 00:14:38,200 Speaker 2: vision only based platform to be on public roads, not 299 00:14:38,280 --> 00:14:40,400 Speaker 2: just with no one in the driver's seat, but no 300 00:14:40,560 --> 00:14:44,400 Speaker 2: supervising attendant in the passenger seat either. People would also 301 00:14:44,480 --> 00:14:47,520 Speaker 2: note that there were other restrictions on social media. For example, 302 00:14:48,000 --> 00:14:51,080 Speaker 2: there were support vehicles from Tesla. It is alleged and 303 00:14:51,120 --> 00:14:54,760 Speaker 2: claimed that said the vision only part, the distinction that 304 00:14:54,800 --> 00:14:58,280 Speaker 2: Tesla's system relies only on cameras, whireas Weimo has a 305 00:14:58,360 --> 00:15:03,720 Speaker 2: multi sensor suite. Interpretation of why that's significant, well, I. 306 00:15:03,640 --> 00:15:06,760 Speaker 10: Think there are a couple of companies, including Zookes and Tesla, 307 00:15:06,920 --> 00:15:10,600 Speaker 10: that are really designing vehicles that are intended to be 308 00:15:11,880 --> 00:15:15,760 Speaker 10: purpose built for autonomous driving and for autonomous right hailing. 309 00:15:16,000 --> 00:15:19,480 Speaker 10: So it is the significant development, and I think at 310 00:15:19,520 --> 00:15:21,560 Speaker 10: the end of the day, what's great is that there 311 00:15:21,560 --> 00:15:25,360 Speaker 10: are multiple players that are entering the market, which ultimately 312 00:15:25,400 --> 00:15:27,440 Speaker 10: for cities is a good thing because it makes the 313 00:15:27,480 --> 00:15:30,000 Speaker 10: regulatory landscape easier for them to manage. 314 00:15:31,000 --> 00:15:35,680 Speaker 3: Regulatory landscape has not held back other competitors to this point. 315 00:15:35,760 --> 00:15:39,000 Speaker 3: And when you think about a few a handful of 316 00:15:39,080 --> 00:15:41,040 Speaker 3: Tesla's on the road and you compare that to a 317 00:15:41,080 --> 00:15:44,920 Speaker 3: million rides or having per month already using weimo, and 318 00:15:44,920 --> 00:15:47,800 Speaker 3: they're aiming it for a million per week, how much 319 00:15:47,800 --> 00:15:50,720 Speaker 3: are we able to really say that Tessa's winning here 320 00:15:50,800 --> 00:15:51,000 Speaker 3: or not. 321 00:15:53,200 --> 00:15:56,640 Speaker 10: I think it's still very early days, but the landscape 322 00:15:56,720 --> 00:15:59,840 Speaker 10: is moving much more quickly, especially over the last three years. 323 00:16:00,080 --> 00:16:02,680 Speaker 10: You see these new players entering the market with commercial 324 00:16:02,760 --> 00:16:06,360 Speaker 10: right hailing services, But I don't think that you know, 325 00:16:06,440 --> 00:16:09,600 Speaker 10: it's clear that there's any one winner at this point 326 00:16:09,600 --> 00:16:13,240 Speaker 10: in time. Although weimo is significantly ahead at the moment 327 00:16:13,280 --> 00:16:15,920 Speaker 10: in terms of commercial right hailing, as you mentioned, they're 328 00:16:16,520 --> 00:16:19,560 Speaker 10: estimating to reach a million rights per week by the 329 00:16:19,640 --> 00:16:23,280 Speaker 10: end of the year, but it's still anyone's market to win, 330 00:16:23,880 --> 00:16:25,640 Speaker 10: and it's exciting to see more players enter it. 331 00:16:26,480 --> 00:16:26,680 Speaker 5: Yeah. 332 00:16:26,720 --> 00:16:29,880 Speaker 2: In simple terms, people define Weimo being ahead by the 333 00:16:29,960 --> 00:16:33,280 Speaker 2: number of cities it's deployed in without any human supervision 334 00:16:33,320 --> 00:16:36,440 Speaker 2: in the car and charging affair to passengers. I'd love 335 00:16:36,480 --> 00:16:38,120 Speaker 2: to talk about the human side of this though, right 336 00:16:38,160 --> 00:16:40,880 Speaker 2: in your research at a number of academic institutions over 337 00:16:40,920 --> 00:16:43,240 Speaker 2: the years, do we have the evidence yet that the 338 00:16:43,320 --> 00:16:47,880 Speaker 2: general population feels ready to jump in a robo taxis 339 00:16:47,920 --> 00:16:49,720 Speaker 2: their sort of chosen method of transfer. 340 00:16:51,280 --> 00:16:52,000 Speaker 5: I think that. 341 00:16:52,440 --> 00:16:55,560 Speaker 10: In San Francisco there's a lot of data to suggest 342 00:16:55,680 --> 00:17:02,040 Speaker 10: that consumers do really feel comfortable utilizing Weimo and sort 343 00:17:02,080 --> 00:17:05,040 Speaker 10: of segments of customers preferring Weimo and even being willing 344 00:17:05,040 --> 00:17:08,639 Speaker 10: to pay more for that vehicle over let's say an 345 00:17:08,680 --> 00:17:12,920 Speaker 10: Uber or Lyft. So I think that people are becoming 346 00:17:13,400 --> 00:17:16,960 Speaker 10: very comfortable, very quickly with these vehicles, and we'll just 347 00:17:17,000 --> 00:17:19,440 Speaker 10: continue to see that happen Regina. 348 00:17:19,480 --> 00:17:21,919 Speaker 6: What's interesting is the global context. 349 00:17:21,520 --> 00:17:24,800 Speaker 3: Because we saw actually shares of Uber and Lyft get 350 00:17:24,880 --> 00:17:29,280 Speaker 3: hit by this announcement of Elo Musk, and in many 351 00:17:29,320 --> 00:17:32,640 Speaker 3: ways they're already out there, not only partnering in Austin 352 00:17:32,760 --> 00:17:35,240 Speaker 3: with Weimo like Uber, but they're also in China and 353 00:17:35,280 --> 00:17:38,960 Speaker 3: we're seeing Beijing people hopping in those cars pretty actively. 354 00:17:39,000 --> 00:17:40,879 Speaker 3: We're also seeing it in the Middle East as well, 355 00:17:41,000 --> 00:17:44,400 Speaker 3: with we Ride and Uber out there trying things. How 356 00:17:44,400 --> 00:17:47,120 Speaker 3: are you seeing globally the readiness of the consumer. 357 00:17:48,720 --> 00:17:51,680 Speaker 10: I think that a lot of the global readiness is 358 00:17:52,240 --> 00:17:56,960 Speaker 10: pretty accepting. We have a lot of other countries out 359 00:17:56,960 --> 00:18:01,040 Speaker 10: there that we'll be willing to allow more vehicles and 360 00:18:01,240 --> 00:18:06,560 Speaker 10: more operators to experiment, and then putting those vehicles out 361 00:18:06,560 --> 00:18:11,040 Speaker 10: there for consumers to begin adopting allows them to move 362 00:18:11,040 --> 00:18:13,880 Speaker 10: forward more quickly. So I think that, you know, at 363 00:18:13,880 --> 00:18:17,160 Speaker 10: a global level, we're going to continue to see an 364 00:18:17,200 --> 00:18:20,320 Speaker 10: acceleration of the adoption of those vehicles. 365 00:18:20,320 --> 00:18:22,680 Speaker 2: Regina Klulo of Populous, Great to have you on the show, 366 00:18:22,720 --> 00:18:31,280 Speaker 2: Thank you very much. Okay, So Apple's basically flat in 367 00:18:31,359 --> 00:18:33,720 Speaker 2: the session, but actually it had a pretty rough start 368 00:18:33,800 --> 00:18:36,280 Speaker 2: to the week. And believe it or not, this is 369 00:18:36,280 --> 00:18:40,160 Speaker 2: a stock that's on track for its eighth straight weekly decline, 370 00:18:40,200 --> 00:18:43,640 Speaker 2: the worst run of weekly declines going back to May 371 00:18:44,080 --> 00:18:45,240 Speaker 2: of twenty twenty two. 372 00:18:45,400 --> 00:18:46,960 Speaker 5: There is a lot in the news. 373 00:18:46,720 --> 00:18:49,720 Speaker 2: Cycle with Apple, and a lot of it comes from Bloomberg. 374 00:18:49,760 --> 00:18:52,560 Speaker 2: The company's hardware chief, John Turnas, has added one of 375 00:18:52,560 --> 00:18:57,000 Speaker 2: the iPhone maker's most critical functions and prestigious responsibilities to 376 00:18:57,040 --> 00:19:00,520 Speaker 2: his role overseeing the design teams. It's a new sign 377 00:19:01,000 --> 00:19:04,440 Speaker 2: that Turnus is a leading contender to take over for 378 00:19:04,560 --> 00:19:07,440 Speaker 2: CEO Tim Cook one day all according to our sources 379 00:19:07,480 --> 00:19:09,959 Speaker 2: and the guy that broke the story, plumost Mark German 380 00:19:10,080 --> 00:19:13,239 Speaker 2: is here introduce us to mister Turners. What does your 381 00:19:13,240 --> 00:19:16,720 Speaker 2: reporting tell us about his new workload? And also that 382 00:19:17,200 --> 00:19:18,960 Speaker 2: signal that he's climbing the ranks here. 383 00:19:20,240 --> 00:19:23,800 Speaker 11: John Turnis has been Apple's Senior VP of Hardware Engineering 384 00:19:23,840 --> 00:19:27,080 Speaker 11: since twenty twenty one. That means he runs all hardware 385 00:19:27,119 --> 00:19:30,359 Speaker 11: development for essentially every Apple products. He's in charge of 386 00:19:30,359 --> 00:19:33,040 Speaker 11: the iPhone, charge of the iPad, and charge of the Mac, 387 00:19:33,160 --> 00:19:35,359 Speaker 11: now in charge of the Apple Watch, and he's been 388 00:19:35,400 --> 00:19:38,479 Speaker 11: elevated to expand his role this year a couple times, 389 00:19:38,520 --> 00:19:41,280 Speaker 11: taking like I said, full oversight of the Apple Watch, 390 00:19:41,320 --> 00:19:45,080 Speaker 11: but also taking charge of Apple's AI robotics teams. Now 391 00:19:45,280 --> 00:19:48,520 Speaker 11: very recently, Tim Cook put them in charge of overseeing 392 00:19:48,560 --> 00:19:51,399 Speaker 11: Apple's design teams for both hardware and software. And no 393 00:19:51,560 --> 00:19:54,159 Speaker 11: design is the look and feel of the products, what 394 00:19:54,200 --> 00:19:56,840 Speaker 11: the interface looks like, what the icons look like, how 395 00:19:56,880 --> 00:20:00,399 Speaker 11: the software works. Industrial design are things like the shapes 396 00:20:00,440 --> 00:20:02,840 Speaker 11: of the devices, the colors, the weight in the field 397 00:20:03,200 --> 00:20:06,280 Speaker 11: goes well beyond the engineering of making everything work. And 398 00:20:06,320 --> 00:20:08,960 Speaker 11: like you said, design is one of the most critical 399 00:20:08,960 --> 00:20:12,359 Speaker 11: and prestigious functions at Apple. It's really only been run 400 00:20:12,400 --> 00:20:16,439 Speaker 11: by the most senior executives in the company's history, people 401 00:20:16,520 --> 00:20:20,520 Speaker 11: like Johnny Ive, Steve Jobs himself, Tim Cook himself, and 402 00:20:20,640 --> 00:20:23,760 Speaker 11: the COO Jeff Williams, who retired a few months ago. 403 00:20:24,200 --> 00:20:27,359 Speaker 11: Now John Turnis adds to that list, and it's yet 404 00:20:27,400 --> 00:20:30,720 Speaker 11: another strong indicator that he's being groomed for a larger 405 00:20:30,800 --> 00:20:33,680 Speaker 11: role and is at the very top of the short 406 00:20:33,720 --> 00:20:36,600 Speaker 11: list of front runners the potential Tim Cook's successors at 407 00:20:36,600 --> 00:20:39,840 Speaker 11: one point when Cook ultimately does decide to retire. 408 00:20:39,880 --> 00:20:42,760 Speaker 3: Mark What's interesting is how subtly this was done. And 409 00:20:42,800 --> 00:20:45,359 Speaker 3: I'm sure that's because they don't want to aggravate too 410 00:20:45,440 --> 00:20:47,359 Speaker 3: much the investor base, but also those also in the 411 00:20:47,440 --> 00:20:50,879 Speaker 3: running talk about who else we could see being lined 412 00:20:50,960 --> 00:20:51,640 Speaker 3: up in some way. 413 00:20:52,680 --> 00:20:56,640 Speaker 11: This is a very strange setup Organizationally, the design teams 414 00:20:56,840 --> 00:21:00,159 Speaker 11: are overseen by Turnis, but on paper they report to 415 00:21:00,359 --> 00:21:03,880 Speaker 11: CEO Tim Cook. Various reasons why you want to do that. 416 00:21:04,480 --> 00:21:07,400 Speaker 11: Apple previously announced that Cook would be running the design team, 417 00:21:07,480 --> 00:21:08,800 Speaker 11: so you don't want to take that away from him 418 00:21:08,800 --> 00:21:12,119 Speaker 11: publicly and undermine the CEO. You don't want to get 419 00:21:12,119 --> 00:21:14,639 Speaker 11: into a debate about who's better suited to run design, 420 00:21:14,760 --> 00:21:17,800 Speaker 11: whether that's an engineer or an operations person like Cook. 421 00:21:18,520 --> 00:21:21,640 Speaker 11: In terms of other CEO candidates, or really only one 422 00:21:21,680 --> 00:21:25,440 Speaker 11: other at this point, that's Sabby Khan, the chief operating officer. 423 00:21:26,000 --> 00:21:29,520 Speaker 11: Other publications have thrown out names like Eddie Q, Greg Joswiak, 424 00:21:29,600 --> 00:21:33,480 Speaker 11: Greg Federigi, Girdre Brian. Nothing I've heard points to any 425 00:21:33,520 --> 00:21:36,600 Speaker 11: of them being CEO other than maybe in an emergency 426 00:21:36,640 --> 00:21:40,040 Speaker 11: like scenario, it's really Turnus or the new COO, Sabby 427 00:21:40,080 --> 00:21:41,320 Speaker 11: con Mark. 428 00:21:41,359 --> 00:21:43,919 Speaker 2: We have ten seconds. What's the one product that Turnus 429 00:21:44,000 --> 00:21:45,440 Speaker 2: is going to be zeroed in on this year? 430 00:21:47,160 --> 00:21:50,760 Speaker 11: This year, it's got to be the foldable iPhone. This 431 00:21:50,840 --> 00:21:52,959 Speaker 11: is going to be a potential growth driver for company 432 00:21:52,960 --> 00:21:55,520 Speaker 11: revenue and we'll see him front and center for that 433 00:21:55,560 --> 00:21:56,200 Speaker 11: in September. 434 00:21:56,840 --> 00:21:59,280 Speaker 6: Max mon Gumman with all escapes. You so appreciate it. 435 00:22:04,440 --> 00:22:05,520 Speaker 6: Welcome back to Blue meg Tech. 436 00:22:05,600 --> 00:22:07,240 Speaker 3: Let's check in on these markets because we end the 437 00:22:07,240 --> 00:22:09,480 Speaker 3: week on a high, but it's been a turbulant four 438 00:22:09,600 --> 00:22:12,760 Speaker 3: days of trading, shortened week given the holiday on Monday, 439 00:22:12,760 --> 00:22:14,520 Speaker 3: We're up five ten percent on the day on the Nasdaq. 440 00:22:14,560 --> 00:22:19,000 Speaker 3: One hundred is you'll see more focus maybe post Davos 441 00:22:19,440 --> 00:22:21,919 Speaker 3: on the future of AI and of technology. Bitcoin is 442 00:22:22,040 --> 00:22:23,960 Speaker 3: up three tens percent, but look, it's still been hammered 443 00:22:23,960 --> 00:22:27,320 Speaker 3: a little bit. We're sub ninety thousand dollars overall. I'm 444 00:22:27,320 --> 00:22:29,480 Speaker 3: looking at some individual names and looking only one. Really 445 00:22:29,520 --> 00:22:32,040 Speaker 3: do you want to be taking real attention to in 446 00:22:32,119 --> 00:22:35,000 Speaker 3: terms of points and in terms of the absolute. 447 00:22:34,520 --> 00:22:37,399 Speaker 6: Move, it's Intel. We're off by fifteen percent. 448 00:22:37,840 --> 00:22:41,520 Speaker 3: Look, the context is it's up prior to today fifty 449 00:22:41,520 --> 00:22:44,280 Speaker 3: percent on the month, on the year, and it had 450 00:22:44,280 --> 00:22:47,680 Speaker 3: a rapid run up. But the manufacturing issues, the issues 451 00:22:47,680 --> 00:22:50,280 Speaker 3: with basically yield on some of their chips and not 452 00:22:50,359 --> 00:22:52,679 Speaker 3: managing to make the most of demand for aipcs, and 453 00:22:52,760 --> 00:22:54,760 Speaker 3: indeed in CPUs. 454 00:22:54,640 --> 00:22:57,760 Speaker 6: That's a letdown trying to investibate that investor base. 455 00:22:59,680 --> 00:23:01,119 Speaker 5: Okay, some deal news. 456 00:23:01,160 --> 00:23:04,760 Speaker 2: Capital One has agreed to purchase fintech startup Brex for 457 00:23:04,880 --> 00:23:07,200 Speaker 2: five point one five billion dollars in a fifty to 458 00:23:07,240 --> 00:23:10,560 Speaker 2: fifty cash and stock deal. It's the largest acquisition for 459 00:23:10,600 --> 00:23:13,800 Speaker 2: the bank since its purchase of Discover, which closed in 460 00:23:13,840 --> 00:23:16,960 Speaker 2: May of last year. Here to discuss is Pedro Francesci 461 00:23:17,400 --> 00:23:18,240 Speaker 2: Rex CEO. 462 00:23:18,520 --> 00:23:19,720 Speaker 5: Pedro Let's get into it. 463 00:23:19,760 --> 00:23:23,840 Speaker 2: I mean, the obvious question to many last night was 464 00:23:24,119 --> 00:23:27,760 Speaker 2: the timing. But five point one five billion dollars is 465 00:23:27,800 --> 00:23:31,200 Speaker 2: a pretty steep discount to the valuation you raise money 466 00:23:31,240 --> 00:23:33,720 Speaker 2: at in twenty twenty two, which was twelve billion dollars. 467 00:23:34,119 --> 00:23:37,080 Speaker 2: What do you think that signals the timing and also 468 00:23:37,160 --> 00:23:39,080 Speaker 2: the value you agreed? 469 00:23:40,320 --> 00:23:43,440 Speaker 12: Yeah, thanks for having you. We're really excited about this news. 470 00:23:43,520 --> 00:23:47,119 Speaker 12: And you know, this is a really special combination. First, 471 00:23:47,560 --> 00:23:51,760 Speaker 12: it's as you mentioned, it's the largest bank fintech deal 472 00:23:51,840 --> 00:23:55,720 Speaker 12: in history. And really the way we thought about this 473 00:23:56,040 --> 00:23:59,360 Speaker 12: is really this unique one plus one equals three scenario. 474 00:23:59,840 --> 00:24:04,119 Speaker 12: So of course at brex we build you know, corporate cards, 475 00:24:04,200 --> 00:24:07,720 Speaker 12: expense management, banking products, bringing financial services and software together. 476 00:24:08,240 --> 00:24:12,240 Speaker 12: And then Capital One is really the original fintech. They 477 00:24:12,359 --> 00:24:16,280 Speaker 12: brought technology and data together for the first time and 478 00:24:16,400 --> 00:24:17,720 Speaker 12: have been a huge source. 479 00:24:17,480 --> 00:24:18,560 Speaker 5: Of inspiration for us. 480 00:24:18,640 --> 00:24:21,159 Speaker 12: And as we saw as we started to think more 481 00:24:21,200 --> 00:24:24,800 Speaker 12: about this together, we really saw this very unique combination 482 00:24:24,880 --> 00:24:28,760 Speaker 12: of bringing rexist technology, product and platform with Capital One 483 00:24:28,880 --> 00:24:34,120 Speaker 12: scale brand distribution and balance sheet and materially accelerate our 484 00:24:34,200 --> 00:24:36,879 Speaker 12: go to market and our product development to a level 485 00:24:37,040 --> 00:24:40,439 Speaker 12: that would be you know, amashed to a standalone private 486 00:24:40,440 --> 00:24:43,159 Speaker 12: company or even a public company for that matter. So 487 00:24:43,200 --> 00:24:45,520 Speaker 12: we saw this a massive opportunity to build it together, 488 00:24:46,600 --> 00:24:47,639 Speaker 12: opportunity to build. 489 00:24:47,840 --> 00:24:51,840 Speaker 2: But why was Capital One able to pay a more 490 00:24:51,440 --> 00:24:54,920 Speaker 2: than fifty percent discount on your last private valuation. 491 00:24:56,000 --> 00:24:58,480 Speaker 12: Yeah, So when we look into all the public market 492 00:24:58,480 --> 00:25:02,200 Speaker 12: comps that that in the fintech space, they're mostly trading 493 00:25:02,280 --> 00:25:06,600 Speaker 12: between eight, nine, ten, maybe eleven times, this acquisition is 494 00:25:06,600 --> 00:25:09,439 Speaker 12: at a thirteen times multiple. So it's a huge premium 495 00:25:09,520 --> 00:25:12,240 Speaker 12: to where all public market comps are today. And the reason, 496 00:25:12,280 --> 00:25:15,280 Speaker 12: of course Capital One believes in this is because there 497 00:25:15,400 --> 00:25:19,600 Speaker 12: is a massive growth opportunity. We really believe that we're 498 00:25:19,640 --> 00:25:23,000 Speaker 12: here to build really the most important financial platform for 499 00:25:23,040 --> 00:25:26,120 Speaker 12: businesses in the US. And you know, it's a very 500 00:25:26,160 --> 00:25:29,080 Speaker 12: you know, two founder led companies coming in together. And 501 00:25:29,560 --> 00:25:31,680 Speaker 12: the reason they're so excited and we're so excited about 502 00:25:31,680 --> 00:25:34,800 Speaker 12: this is because of the obvious webside path that we 503 00:25:34,880 --> 00:25:35,520 Speaker 12: have from here. 504 00:25:35,760 --> 00:25:40,879 Speaker 3: But Pedro, it's not an upside to that previous valuation. 505 00:25:41,000 --> 00:25:43,800 Speaker 3: And I hear you on the premium compared to where 506 00:25:43,840 --> 00:25:46,320 Speaker 3: others trade on the day, But why not just stay 507 00:25:46,320 --> 00:25:48,760 Speaker 3: private for longer? Why not build? Why not return to 508 00:25:48,760 --> 00:25:50,959 Speaker 3: a twelve billion dollar valuation in the private markets. 509 00:25:51,800 --> 00:25:52,040 Speaker 5: Yeah. 510 00:25:52,080 --> 00:25:53,960 Speaker 12: So the thing that we learned is we had we 511 00:25:54,000 --> 00:25:57,320 Speaker 12: did a lot of you know, twenty twenty one valuations. 512 00:25:56,680 --> 00:26:00,240 Speaker 12: We're a very specific point in time and market. And 513 00:26:00,240 --> 00:26:02,399 Speaker 12: one of the things that we believe for PREX is 514 00:26:02,400 --> 00:26:05,040 Speaker 12: that the teams to see reality the best wins. And 515 00:26:05,200 --> 00:26:08,560 Speaker 12: we like to run the company in a way that 516 00:26:08,680 --> 00:26:12,280 Speaker 12: mirrors where everything eventually converts to you, which is public markets. 517 00:26:12,720 --> 00:26:15,359 Speaker 12: And when we look from a public market lens into 518 00:26:15,440 --> 00:26:18,120 Speaker 12: everything that we've done, we made a lot of decisions 519 00:26:18,160 --> 00:26:20,200 Speaker 12: around the way we accelerate to growth over the past 520 00:26:20,280 --> 00:26:24,440 Speaker 12: few years, went after the enterprise became a casual positive company, 521 00:26:24,720 --> 00:26:28,560 Speaker 12: and this combination of factors, may this be a really 522 00:26:28,680 --> 00:26:32,880 Speaker 12: special outcome. And we think that private companies that mirror 523 00:26:32,960 --> 00:26:36,800 Speaker 12: themselves in a point in time valuation eventually forget that 524 00:26:36,880 --> 00:26:40,160 Speaker 12: everything converges to public markets eventually. And when we compare 525 00:26:40,200 --> 00:26:43,800 Speaker 12: the where brexast today with where a lot of peers 526 00:26:43,800 --> 00:26:47,720 Speaker 12: have ipoed and where other companies on a private basis 527 00:26:47,920 --> 00:26:50,760 Speaker 12: have been, we think this is a really exciting and 528 00:26:50,800 --> 00:26:53,639 Speaker 12: different outcome. But the real reason behind it and the 529 00:26:53,680 --> 00:26:56,280 Speaker 12: real reason I'm so excited for this next phase of 530 00:26:56,280 --> 00:26:59,960 Speaker 12: REX is because this is the beginning of us building 531 00:27:00,080 --> 00:27:03,040 Speaker 12: the most, the largest, and I think the most important 532 00:27:03,080 --> 00:27:06,000 Speaker 12: platform for businesses. When you combine the scale, the balance sheet, 533 00:27:06,000 --> 00:27:09,560 Speaker 12: the distribution, and the tech mindset that Capital one has 534 00:27:09,840 --> 00:27:12,160 Speaker 12: with the product and the technology that we have at BREX. 535 00:27:12,520 --> 00:27:14,359 Speaker 12: So really, at the end of the day, it's about 536 00:27:14,440 --> 00:27:17,000 Speaker 12: building something bigger than what we could ever build as 537 00:27:17,040 --> 00:27:18,040 Speaker 12: a standbone company. 538 00:27:18,520 --> 00:27:21,120 Speaker 6: How will it change your trajectory? What will you build? 539 00:27:21,280 --> 00:27:24,159 Speaker 6: Is it AI that gets infused? What more does this 540 00:27:24,240 --> 00:27:25,120 Speaker 6: give you power to do? 541 00:27:26,040 --> 00:27:28,800 Speaker 12: So just giving you two examples, so Capital one has 542 00:27:28,800 --> 00:27:33,000 Speaker 12: a six billion dollar marketing budget. Brex has a fraction 543 00:27:33,040 --> 00:27:37,119 Speaker 12: of data less than one percent of that today. Just 544 00:27:37,200 --> 00:27:40,959 Speaker 12: imagine the distribution and the capability to go in and 545 00:27:41,119 --> 00:27:44,000 Speaker 12: serve the millions of businesses in the US. Capital one 546 00:27:44,040 --> 00:27:46,760 Speaker 12: also serves already millions of businesses today and all these 547 00:27:46,800 --> 00:27:49,800 Speaker 12: businesses will benefit from the BREX product and technology that 548 00:27:49,960 --> 00:27:52,080 Speaker 12: really helps the run their business in a much better way. 549 00:27:52,520 --> 00:27:53,720 Speaker 12: And then when you're looking at the R and D 550 00:27:53,840 --> 00:27:56,280 Speaker 12: side and AI to your point, Capital one has a 551 00:27:56,320 --> 00:27:59,119 Speaker 12: six billion dollar again R and D budget as well, 552 00:27:59,480 --> 00:28:02,240 Speaker 12: and when you combine this with the product roadmap, and 553 00:28:02,280 --> 00:28:05,080 Speaker 12: the vision that we have at brex. We think we're 554 00:28:05,080 --> 00:28:08,240 Speaker 12: going to accelerate this momentum tremendously and continue to build 555 00:28:08,600 --> 00:28:11,040 Speaker 12: in a much seper trajectory than what we're able to 556 00:28:11,040 --> 00:28:13,320 Speaker 12: do now, and the benefit of the end for customers 557 00:28:13,359 --> 00:28:17,400 Speaker 12: will be, you know, a much better product, a much 558 00:28:17,400 --> 00:28:20,720 Speaker 12: more robust, fraildnap and just accelerating air path compared to 559 00:28:20,720 --> 00:28:22,680 Speaker 12: what we could ever do independently. 560 00:28:23,240 --> 00:28:26,199 Speaker 3: Come back as you scale, Pedro Francisci is great to 561 00:28:26,200 --> 00:28:29,280 Speaker 3: have you the brexits, I mean no, let's stick with 562 00:28:29,359 --> 00:28:32,800 Speaker 3: other deal news because nearly a year after an initial 563 00:28:32,840 --> 00:28:36,120 Speaker 3: deadline to sell TikTok Us has been bought by consortium. 564 00:28:36,400 --> 00:28:39,360 Speaker 6: You know, it's led by Oracle On the social. 565 00:28:39,000 --> 00:28:42,800 Speaker 3: Media President Trump thank the Chinese leaders using pin for quote. 566 00:28:42,680 --> 00:28:43,520 Speaker 6: Working with us. 567 00:28:43,840 --> 00:28:46,640 Speaker 3: Let's discuss the details been both Social media reporter Alexandra 568 00:28:46,760 --> 00:28:49,640 Speaker 3: Levigne has been following what has been quite the journey. 569 00:28:50,160 --> 00:28:53,200 Speaker 3: So the players involved talk us through who's going to 570 00:28:53,240 --> 00:28:55,520 Speaker 3: have the ownership and how that ownership changes what us 571 00:28:55,600 --> 00:28:56,360 Speaker 3: TikTok looks like. 572 00:28:57,080 --> 00:29:00,320 Speaker 13: So we know that the folks that are all only 573 00:29:00,320 --> 00:29:02,360 Speaker 13: going to be involved are going to be the three 574 00:29:02,360 --> 00:29:06,440 Speaker 13: managing investors silver Lake, MGX, and Oracle, which already has 575 00:29:06,480 --> 00:29:09,320 Speaker 13: this long standing relationship with TikTok. And then there are 576 00:29:09,480 --> 00:29:12,440 Speaker 13: a combination of other investors that are already that have 577 00:29:12,520 --> 00:29:16,400 Speaker 13: long been long time by Dan's affiliates. I think that 578 00:29:16,600 --> 00:29:19,640 Speaker 13: the most remarkable piece of this is just the fact 579 00:29:19,680 --> 00:29:23,040 Speaker 13: that it's spanned three presidencies more than half a decade. 580 00:29:23,080 --> 00:29:26,560 Speaker 13: It's been almost seven years since olives started and two 581 00:29:26,600 --> 00:29:28,520 Speaker 13: hundred million people, which is more than half a country, 582 00:29:28,560 --> 00:29:30,840 Speaker 13: are now on the platform, and it has grown so 583 00:29:31,000 --> 00:29:33,400 Speaker 13: considerably since all of this has been happening. 584 00:29:34,880 --> 00:29:37,120 Speaker 2: I think it's also important to kind of get to 585 00:29:37,160 --> 00:29:39,480 Speaker 2: know some of the people behind this new entity. They 586 00:29:39,520 --> 00:29:44,960 Speaker 2: have a leader who was a relatively high level executive 587 00:29:45,040 --> 00:29:47,760 Speaker 2: at the larger n seat to tell us about him. 588 00:29:48,200 --> 00:29:51,840 Speaker 13: Yeah, So the new CEO of this new TikTok venture 589 00:29:52,040 --> 00:29:56,880 Speaker 13: is Adam Presser. Adam Presser has been viewed as a 590 00:29:56,920 --> 00:29:59,720 Speaker 13: contender for the top job. He's been viewed as a 591 00:29:59,840 --> 00:30:03,480 Speaker 13: very influential insider for many years. He has an entertainment background, 592 00:30:03,600 --> 00:30:08,160 Speaker 13: not a political background. But he came from WarnerMedia and 593 00:30:08,360 --> 00:30:12,120 Speaker 13: he joined TikTok in twenty twenty two and was since 594 00:30:12,160 --> 00:30:15,240 Speaker 13: then really really close to Show to you reporting directly 595 00:30:15,360 --> 00:30:18,120 Speaker 13: into to Show who has been the CEO. He's taken 596 00:30:18,240 --> 00:30:21,120 Speaker 13: increasing responsibility over the last few years and he's really 597 00:30:21,160 --> 00:30:24,840 Speaker 13: like just below the top of by Dance Global, and 598 00:30:24,920 --> 00:30:26,800 Speaker 13: so this was a very obvious choice. And he has 599 00:30:26,880 --> 00:30:30,240 Speaker 13: also been leading TikTok Us Data Security it's out of 600 00:30:30,280 --> 00:30:33,280 Speaker 13: protection arm that is now basically being adapted into this 601 00:30:33,360 --> 00:30:36,520 Speaker 13: new joint venture, you know, over the last year. 602 00:30:36,480 --> 00:30:39,840 Speaker 2: Or so Bloomberg z Alex slaviine with the reporting, Thank 603 00:30:39,880 --> 00:30:43,440 Speaker 2: you very much. Coming up, the age of unicorns is 604 00:30:43,520 --> 00:30:47,760 Speaker 2: behind us. Is the number of Decca horns and hecticorns grows. 605 00:30:48,360 --> 00:30:50,840 Speaker 2: Peter Singlehurst, so Baby Gifford joins us to talk about 606 00:30:50,880 --> 00:30:53,200 Speaker 2: skyrocketing private valuations. 607 00:30:53,240 --> 00:30:55,400 Speaker 5: That's next. This is Bloomberg tech. 608 00:31:03,120 --> 00:31:06,959 Speaker 3: Companies. They're staying private for longer. Valuations are hitting new highs. 609 00:31:07,120 --> 00:31:10,400 Speaker 3: The appetite to invest in private growth equity is expanding. 610 00:31:10,640 --> 00:31:13,480 Speaker 3: Just think about some of these names, SpaceX, Data, Bricks 611 00:31:13,520 --> 00:31:17,120 Speaker 3: and Real. Peter Singlehurst's head of private companies are Bailey GIFD, 612 00:31:17,280 --> 00:31:20,400 Speaker 3: which is an investor in all three of those really 613 00:31:20,400 --> 00:31:23,080 Speaker 3: hot come you even call them startups anymore? He joins 614 00:31:23,160 --> 00:31:25,680 Speaker 3: us now Peter Bailey GIFFD has been at this a 615 00:31:25,680 --> 00:31:28,440 Speaker 3: long time, since twenty twelve, allocating billions. 616 00:31:29,640 --> 00:31:31,680 Speaker 6: Is this sustainable, this extent. 617 00:31:31,400 --> 00:31:33,960 Speaker 3: That companies are staying private for longer, and will the 618 00:31:34,040 --> 00:31:35,200 Speaker 3: wall of money still come in? 619 00:31:37,000 --> 00:31:39,600 Speaker 14: I think what we've seen is a structural change in 620 00:31:39,880 --> 00:31:45,120 Speaker 14: how companies capitalize themselves. This is driven by some very 621 00:31:45,480 --> 00:31:49,479 Speaker 14: enduring factors such as regulation. Sarbaine's oxously made it more 622 00:31:49,480 --> 00:31:52,640 Speaker 14: difficult to be public, and aspects of the Jobs Acts 623 00:31:52,720 --> 00:31:55,560 Speaker 14: made it easier to stay private. But I think there's 624 00:31:55,560 --> 00:31:59,800 Speaker 14: also been a cultural change amongst companies. I think founders 625 00:31:59,800 --> 00:32:01,960 Speaker 14: today they realize that you can build a better, more 626 00:32:02,080 --> 00:32:05,800 Speaker 14: enduring business by staying private for longer, because you can 627 00:32:05,840 --> 00:32:09,200 Speaker 14: be more focused on the fundamentals of business building. And 628 00:32:09,280 --> 00:32:13,920 Speaker 14: I think that has led to an irreversal change in 629 00:32:14,160 --> 00:32:17,640 Speaker 14: companies staying private for longer, and as a result, we're 630 00:32:17,640 --> 00:32:21,120 Speaker 14: seeing exceptional, world class businesses of real scale in the 631 00:32:21,120 --> 00:32:22,040 Speaker 14: private markets. 632 00:32:22,280 --> 00:32:24,880 Speaker 3: And now twenty twenty six can be quite the unlock. 633 00:32:25,280 --> 00:32:27,200 Speaker 3: We can have a one and a half trillion dollar 634 00:32:27,320 --> 00:32:30,720 Speaker 3: IPO of SpaceX if they live up to their own hype, 635 00:32:31,080 --> 00:32:33,920 Speaker 3: which you're in, we could have Anthropics been talked of 636 00:32:33,960 --> 00:32:35,880 Speaker 3: for twenty twenty six. Even open AI's been talked off 637 00:32:35,880 --> 00:32:38,520 Speaker 3: for twenty twenty six. Vita is twenty twenty six going. 638 00:32:38,520 --> 00:32:39,080 Speaker 6: To be the year? 639 00:32:39,160 --> 00:32:41,720 Speaker 3: And how do you think about some of your holdings 640 00:32:41,760 --> 00:32:43,320 Speaker 3: ahead of that as to whether you want to be 641 00:32:43,360 --> 00:32:45,240 Speaker 3: holding onto them in significant size. 642 00:32:46,840 --> 00:32:50,240 Speaker 14: It is unquestionable that many of these companies are of 643 00:32:50,360 --> 00:32:55,440 Speaker 14: the scale and maturity, solidity, operational robustness to be public businesses, 644 00:32:55,960 --> 00:32:57,520 Speaker 14: and I think the real question is when do they 645 00:32:57,640 --> 00:33:01,000 Speaker 14: choose to enter the public market. I think it's also 646 00:33:01,000 --> 00:33:02,960 Speaker 14: pretty clear that public market investors are going to have 647 00:33:03,000 --> 00:33:04,360 Speaker 14: real appetite for these businesses. 648 00:33:04,960 --> 00:33:07,080 Speaker 15: I think there are really two questions, though, at what price? 649 00:33:07,240 --> 00:33:10,840 Speaker 14: Are what valuations will public market investors be willing to 650 00:33:10,840 --> 00:33:14,800 Speaker 14: commit significant amounts of cattle to these businesses? And how 651 00:33:14,800 --> 00:33:18,200 Speaker 14: do the public markets digest IPOs of this scale? The 652 00:33:18,320 --> 00:33:21,520 Speaker 14: largest tech IPO in history was Ali Barbera in twenty fourteen. 653 00:33:21,560 --> 00:33:24,320 Speaker 15: That was a mere twenty five billion dollar IPO. 654 00:33:25,040 --> 00:33:28,240 Speaker 14: If SpaceX witt lists ten percent of itself, even at 655 00:33:28,240 --> 00:33:30,400 Speaker 14: its current valuation, you'd be looking at an eighty billion 656 00:33:30,400 --> 00:33:33,240 Speaker 14: dollar valuation. So I think we're in slightly uncharted waters 657 00:33:33,280 --> 00:33:36,880 Speaker 14: with regards to the scale of these IPOs Here at 658 00:33:36,880 --> 00:33:40,200 Speaker 14: Bailey Gifford, we keep our public and private growth equity 659 00:33:40,240 --> 00:33:45,320 Speaker 14: franchises tightly integrated. And when we own a company that 660 00:33:45,360 --> 00:33:48,800 Speaker 14: comes to the public markets, if our public teams decide 661 00:33:48,800 --> 00:33:50,760 Speaker 14: to buy that company, that's based on their own decision. 662 00:33:50,760 --> 00:33:53,400 Speaker 14: They have to make the right decisions for their public 663 00:33:53,440 --> 00:33:56,800 Speaker 14: market clients. We can potentially become much much owners of 664 00:33:56,840 --> 00:33:59,520 Speaker 14: these businesses and own them for a really long time 665 00:33:59,520 --> 00:34:00,640 Speaker 14: into the pub markets. 666 00:34:00,680 --> 00:34:03,040 Speaker 15: Long term ism is in our DNA as an organization. 667 00:34:03,440 --> 00:34:05,800 Speaker 14: We've been doing growth equity investing for one hundred and 668 00:34:05,880 --> 00:34:09,880 Speaker 14: eighteen years, right, We've been doing it in private markets 669 00:34:10,000 --> 00:34:14,560 Speaker 14: for about fourteen years, and we have really been in 670 00:34:14,560 --> 00:34:18,240 Speaker 14: this part of the private markets, these large growth stage 671 00:34:18,440 --> 00:34:21,400 Speaker 14: private businesses for as long as this asset class has existed. 672 00:34:22,360 --> 00:34:26,400 Speaker 2: That those names have not been one hundred percent liquid. 673 00:34:26,440 --> 00:34:30,480 Speaker 2: The secondary market has been fascinating for transparency in context. 674 00:34:30,480 --> 00:34:34,320 Speaker 2: You know, Belly Gifford came in for criticism by Cyber 675 00:34:34,400 --> 00:34:38,040 Speaker 2: Capital Management, right a hedge fund park that context. But 676 00:34:38,200 --> 00:34:40,360 Speaker 2: is the manager on the private side, how do you 677 00:34:40,440 --> 00:34:44,920 Speaker 2: balance that the timing of maybe trimming or taking advantage 678 00:34:44,920 --> 00:34:49,040 Speaker 2: of liquidity moment tender or otherwise or not holding on 679 00:34:49,120 --> 00:34:49,880 Speaker 2: to it and growing. 680 00:34:51,280 --> 00:34:53,759 Speaker 14: I think that's a really interesting observation edin that that 681 00:34:54,000 --> 00:34:56,839 Speaker 14: first wave of company staying private for longer I would 682 00:34:56,840 --> 00:34:59,480 Speaker 14: say up to the twenty fifteen stage was driven by 683 00:34:59,480 --> 00:35:03,000 Speaker 14: the privileged and of primary capital to fund companies growth 684 00:35:03,320 --> 00:35:07,080 Speaker 14: in the private markets. What's led to these megacap private 685 00:35:07,120 --> 00:35:10,720 Speaker 14: companies is that we're seeing more secondary market transactions happening, 686 00:35:10,920 --> 00:35:14,360 Speaker 14: meaning that secondary market requirements can be solved whilst companies 687 00:35:14,680 --> 00:35:17,600 Speaker 14: remain private. We've seen that in the likes of SpaceX, 688 00:35:17,600 --> 00:35:19,440 Speaker 14: We've seen that in the likes of Data Bricks in 689 00:35:19,560 --> 00:35:23,160 Speaker 14: by Dance in Stripe, and that is really enabling companies to. 690 00:35:23,120 --> 00:35:25,400 Speaker 15: Put off these IPOs for a really, really long time. 691 00:35:26,760 --> 00:35:29,520 Speaker 14: Our job is to manage portfolios and selectively, we will 692 00:35:29,560 --> 00:35:35,920 Speaker 14: occasionally look to trim our positions in private markets if 693 00:35:35,920 --> 00:35:37,920 Speaker 14: we're wanting to realize some of those gains, either to 694 00:35:37,960 --> 00:35:41,640 Speaker 14: recycle into new new holdings or distribute returns to our 695 00:35:41,640 --> 00:35:42,400 Speaker 14: limited partners. 696 00:35:43,320 --> 00:35:47,880 Speaker 2: I'm really interested in how strong and influential feel Bailey 697 00:35:47,920 --> 00:35:49,800 Speaker 2: gift it is, you know, with respect, Peter, I've broken 698 00:35:49,840 --> 00:35:52,120 Speaker 2: a lot of news right over the years on SpaceX 699 00:35:52,120 --> 00:35:54,880 Speaker 2: and or whatever. But the composition of the cap table 700 00:35:54,960 --> 00:35:58,960 Speaker 2: like SpaceX, you've basically got founder's fund fidelity in Google, 701 00:35:59,080 --> 00:36:02,600 Speaker 2: not necessarily in that order. And like all late stage 702 00:36:02,640 --> 00:36:05,799 Speaker 2: growth rounds pre IPO, the crossover investors want to come in, 703 00:36:06,000 --> 00:36:09,319 Speaker 2: they want to anchor a future IPO. Do you have 704 00:36:09,440 --> 00:36:12,080 Speaker 2: influence on the management at SpaceX? Do you try and 705 00:36:12,080 --> 00:36:15,720 Speaker 2: be constructive operationally in working with them in the direction 706 00:36:15,800 --> 00:36:18,240 Speaker 2: they want to take the company. 707 00:36:18,560 --> 00:36:22,600 Speaker 14: So we try to focus our value add capabilities on 708 00:36:22,640 --> 00:36:25,920 Speaker 14: the things which are particularly pertinent to growth stage companies. 709 00:36:26,440 --> 00:36:27,759 Speaker 15: We're not trying to do venture capital. 710 00:36:27,840 --> 00:36:31,040 Speaker 14: We're trying to do growth equity investing, and that means 711 00:36:31,320 --> 00:36:34,520 Speaker 14: the ways in which we have to influence companies need 712 00:36:34,600 --> 00:36:38,320 Speaker 14: to be designed to the growth stage. So, for instance, 713 00:36:38,440 --> 00:36:41,040 Speaker 14: we will often play a role in helping our companies 714 00:36:41,480 --> 00:36:46,440 Speaker 14: shape governance frameworks transitioning to independent led boards as they 715 00:36:46,480 --> 00:36:50,040 Speaker 14: think about becoming public the public. 716 00:36:49,719 --> 00:36:50,319 Speaker 15: Markets as well. 717 00:36:50,360 --> 00:36:52,319 Speaker 14: We've been for one hundred years and we bring that 718 00:36:52,440 --> 00:36:56,360 Speaker 14: expertise in helping our portfolio companies get ready for being 719 00:36:56,800 --> 00:36:58,759 Speaker 14: a public business. But that's not something that we try 720 00:36:58,800 --> 00:37:00,880 Speaker 14: to do six months before come and it becomes public. 721 00:37:01,120 --> 00:37:03,000 Speaker 14: We try to do that in the years leading up 722 00:37:03,120 --> 00:37:04,560 Speaker 14: to being a public business. 723 00:37:05,040 --> 00:37:07,839 Speaker 3: So when you're looking at an Anthropic, for example, and 724 00:37:07,920 --> 00:37:11,399 Speaker 3: there are now there are actually more companies analysts at 725 00:37:11,560 --> 00:37:14,840 Speaker 3: banks now analyzing private companies because they're so huge. And 726 00:37:14,880 --> 00:37:17,280 Speaker 3: one of the analysis really coming from JB. Morgan, for example, 727 00:37:17,360 --> 00:37:19,759 Speaker 3: is that the premium pricing that Anthropic has might start 728 00:37:19,800 --> 00:37:21,880 Speaker 3: to be hit by the level of competition in the enterprise. 729 00:37:22,080 --> 00:37:23,879 Speaker 3: Is that something you steer a company on or something 730 00:37:23,920 --> 00:37:24,600 Speaker 3: that you agree with. 731 00:37:26,040 --> 00:37:29,120 Speaker 14: Look, I think that when we're investing in a company 732 00:37:29,280 --> 00:37:32,640 Speaker 14: like Anthropic, fundamentally, what we're trying to do is determined 733 00:37:32,680 --> 00:37:35,680 Speaker 14: not just how large the revenue base can be. We're 734 00:37:35,719 --> 00:37:38,120 Speaker 14: trying to determine how much of that can flow down 735 00:37:38,320 --> 00:37:40,560 Speaker 14: profit and how large that profit can be relative to 736 00:37:40,560 --> 00:37:43,640 Speaker 14: return on equacy. So of course we're trying to understand pricing, 737 00:37:43,680 --> 00:37:46,440 Speaker 14: power dynamics, we're trying to understand margin structures, and we're 738 00:37:46,440 --> 00:37:50,040 Speaker 14: trying to understand capital intensity and the returns that can 739 00:37:50,080 --> 00:37:54,120 Speaker 14: be earned on capital. Clearly, the AI markets are pretty 740 00:37:54,120 --> 00:37:56,919 Speaker 14: hot at the moment. We think whenever you have a market, 741 00:37:56,960 --> 00:37:59,360 Speaker 14: there will be a tiny number of exceptional companies. And 742 00:37:59,400 --> 00:38:02,879 Speaker 14: so we own Anthropic, we own data bricks, but we're 743 00:38:02,880 --> 00:38:04,719 Speaker 14: not an AI find We're trying to find the best 744 00:38:04,760 --> 00:38:06,960 Speaker 14: growth companies wherever we can find them, and often you 745 00:38:07,000 --> 00:38:08,799 Speaker 14: find them in areas where people aren't looking. 746 00:38:10,040 --> 00:38:11,840 Speaker 2: Peter, I wish we could do thirty minutes with you. 747 00:38:11,920 --> 00:38:16,160 Speaker 2: We can't. Very simply, things have changed. You have retail 748 00:38:16,239 --> 00:38:19,840 Speaker 2: investors coming in via these big SPVs, pension funds I 749 00:38:19,840 --> 00:38:23,520 Speaker 2: talked about with SpaceX and then basically golf sovereign money. 750 00:38:24,040 --> 00:38:26,719 Speaker 2: How is that changing the market for you? And again 751 00:38:26,800 --> 00:38:28,920 Speaker 2: let's go back to valuations in that context. 752 00:38:30,960 --> 00:38:33,800 Speaker 14: I think the truth is private markets are not democratic markets, 753 00:38:33,840 --> 00:38:37,320 Speaker 14: so companies still get to choose their investors, and companies 754 00:38:37,320 --> 00:38:42,160 Speaker 14: will still anchor towards we'll steer towards value added partners 755 00:38:42,160 --> 00:38:44,120 Speaker 14: and partners who they believe will be with them for 756 00:38:44,160 --> 00:38:46,279 Speaker 14: the long term and can support them. But I think 757 00:38:46,320 --> 00:38:48,920 Speaker 14: it's really important to point out that the demand and 758 00:38:48,960 --> 00:38:52,320 Speaker 14: appetite for these kind of large, late stage growth companies 759 00:38:52,520 --> 00:38:55,920 Speaker 14: is very rational. To give you one very tangible example, 760 00:38:57,080 --> 00:39:00,880 Speaker 14: Tesla went public in twenty ten to two billion dollar evaluation. 761 00:39:01,600 --> 00:39:05,040 Speaker 14: Today SpaceX is still private, valued at eight hundred billion dollars, 762 00:39:05,040 --> 00:39:09,000 Speaker 14: so there's a four hundred x difference there that historically 763 00:39:09,040 --> 00:39:11,520 Speaker 14: the public markets have access to and today that growth 764 00:39:11,560 --> 00:39:14,120 Speaker 14: is happening in the private markets. So I think it's 765 00:39:14,280 --> 00:39:16,440 Speaker 14: perfectly right that people are wanting to get access to 766 00:39:16,480 --> 00:39:18,719 Speaker 14: these companies. And I guess the journey that we've been 767 00:39:18,760 --> 00:39:20,839 Speaker 14: on over the last fourteen years has been helping our 768 00:39:20,920 --> 00:39:25,200 Speaker 14: clients maintain their exposure to the growth of these world 769 00:39:25,239 --> 00:39:28,360 Speaker 14: beating companies despite them remaining private for longer. 770 00:39:29,880 --> 00:39:33,040 Speaker 2: Peter Singlehurst, head of private Companies, that they Gifford, really 771 00:39:33,040 --> 00:39:34,680 Speaker 2: grateful for your time on Bloomberg Tech. 772 00:39:34,680 --> 00:39:35,480 Speaker 5: Thank you very much. 773 00:39:42,680 --> 00:39:46,320 Speaker 2: Amazon's preparing to let go of thousands more corporate employees. 774 00:39:46,320 --> 00:39:49,839 Speaker 2: According to sources, the company plans to begin terminations as 775 00:39:49,880 --> 00:39:52,200 Speaker 2: soon as next week. This comes just a few months 776 00:39:52,360 --> 00:39:55,400 Speaker 2: after Amazon announced it was cutting as many as fourteen 777 00:39:55,560 --> 00:39:59,399 Speaker 2: thousand rolls. The layoffs could affect the company's nearly three 778 00:39:59,480 --> 00:40:02,280 Speaker 2: hundred and fifty thousand corporate personnel. 779 00:40:02,280 --> 00:40:05,839 Speaker 3: OK one to watch, of course, because meanwhile Amazon has 780 00:40:05,920 --> 00:40:08,680 Speaker 3: confirmed its Jew release earnings and the date is going 781 00:40:08,719 --> 00:40:11,680 Speaker 3: to be Thursday, February the fifth, along with a whole 782 00:40:11,719 --> 00:40:14,040 Speaker 3: host of other megacap names that a Jew in the 783 00:40:14,080 --> 00:40:17,160 Speaker 3: next week or so. Equity spporter run Vasilica joins us 784 00:40:17,160 --> 00:40:20,280 Speaker 3: now as we embrace ourselves. 785 00:40:19,520 --> 00:40:21,640 Speaker 6: For what remamber us. It will call the fire hose. 786 00:40:22,080 --> 00:40:26,360 Speaker 3: So are we prepping for good underlying fundamentals this time? 787 00:40:27,520 --> 00:40:32,040 Speaker 16: Fundamentals probably yes. A lot of growth metrics remain very strong, 788 00:40:32,280 --> 00:40:35,560 Speaker 16: much stronger than other sectors of the market. The question is, 789 00:40:35,800 --> 00:40:38,120 Speaker 16: because growth is going to be slower than it was 790 00:40:38,280 --> 00:40:41,480 Speaker 16: last year, is there enough jew to keep pushing these 791 00:40:41,520 --> 00:40:44,759 Speaker 16: megacap tech stocks higher. It does seem like so far 792 00:40:44,920 --> 00:40:48,279 Speaker 16: this year cinemas has really moved to other parts of 793 00:40:48,360 --> 00:40:53,439 Speaker 16: the market. There's been rotations towards sickles cyclical sectors. There's 794 00:40:53,480 --> 00:40:57,640 Speaker 16: been favoring within tech of companies like sand Disk and Micron, 795 00:40:57,680 --> 00:41:01,160 Speaker 16: the memory and storage companies. There's been some changes in 796 00:41:01,239 --> 00:41:04,600 Speaker 16: market leadership and momentum. But I do think people are 797 00:41:04,640 --> 00:41:07,120 Speaker 16: expecting some pretty strong numbers out of the megacaps. 798 00:41:08,200 --> 00:41:10,920 Speaker 2: Of those megacaps and of the different data sets you try. 799 00:41:10,960 --> 00:41:13,879 Speaker 2: What gets from VLAs sellica excited? What is the kind 800 00:41:13,920 --> 00:41:16,239 Speaker 2: of key thing that you'll be scanning at your desk 801 00:41:16,360 --> 00:41:16,880 Speaker 2: next week? 802 00:41:17,640 --> 00:41:19,640 Speaker 16: Well, I think a major focus is going to be 803 00:41:19,760 --> 00:41:22,680 Speaker 16: how much these companies continue to spend on capex, especially 804 00:41:22,719 --> 00:41:25,400 Speaker 16: when it comes to AI, and furthermore, the kinds of 805 00:41:25,440 --> 00:41:28,680 Speaker 16: returns they're seeing on this. If people start giving more 806 00:41:28,680 --> 00:41:31,840 Speaker 16: pronounced guideposts to the kinds of returns they're seeing, how 807 00:41:31,920 --> 00:41:35,600 Speaker 16: much they're able to monetize all this AI related spending. 808 00:41:35,840 --> 00:41:37,120 Speaker 16: I think all of that is going to go a 809 00:41:37,160 --> 00:41:40,040 Speaker 16: long way to sort of dictating sentiment towards AI over 810 00:41:40,040 --> 00:41:42,399 Speaker 16: the coming months. When it comes to Apple, a little 811 00:41:42,400 --> 00:41:45,279 Speaker 16: bit of a unique situation there, the real focus is 812 00:41:45,320 --> 00:41:49,120 Speaker 16: going to be how much memory chip prices have increased 813 00:41:49,160 --> 00:41:52,080 Speaker 16: in recent months. If they indicate that that's going to 814 00:41:52,080 --> 00:41:54,720 Speaker 16: be a real headwind to their margins or their overall growth, 815 00:41:54,880 --> 00:41:56,080 Speaker 16: that's going to be something to watch there. 816 00:41:56,239 --> 00:42:00,280 Speaker 3: And that was something we thinking about with Intel and itself. 817 00:42:00,480 --> 00:42:03,879 Speaker 3: The valuation got crazy more than TSMC. Briefly, Ryan, where 818 00:42:03,920 --> 00:42:05,080 Speaker 3: do we stand on valuations? 819 00:42:06,400 --> 00:42:07,759 Speaker 16: It does seem like a lot of people feel like 820 00:42:07,800 --> 00:42:10,000 Speaker 16: Intel's valuation got kind of ahead of itself. I think 821 00:42:10,040 --> 00:42:11,960 Speaker 16: the stop rose about one hundred and eighty percent off 822 00:42:12,000 --> 00:42:14,840 Speaker 16: of a low hit last year. That's a very steep 823 00:42:14,880 --> 00:42:17,799 Speaker 16: move for a company of this type, especially one that's 824 00:42:17,880 --> 00:42:21,960 Speaker 16: undergoing this sort of really fundamental and dramatic transformation. There's 825 00:42:22,000 --> 00:42:24,359 Speaker 16: a lot of skepticism still about how well they're going 826 00:42:24,400 --> 00:42:26,880 Speaker 16: to be able to get their foundry business kind of 827 00:42:27,000 --> 00:42:28,640 Speaker 16: up and running and able to compete with some of 828 00:42:28,680 --> 00:42:31,000 Speaker 16: the bigger players in the market. So very much to 829 00:42:31,080 --> 00:42:33,760 Speaker 16: show me story, a turnaround story that remains in progress, 830 00:42:33,760 --> 00:42:35,200 Speaker 16: and I think a lot of people just looked at 831 00:42:35,200 --> 00:42:37,640 Speaker 16: how much it moved since a lot of those moves. 832 00:42:37,920 --> 00:42:41,640 Speaker 5: Kind of came on a limited news bloomas Ryan for Seneca. 833 00:42:41,680 --> 00:42:42,920 Speaker 5: Thank you very much. That does it. 834 00:42:42,920 --> 00:42:45,200 Speaker 2: For the addition of Bloomberg Tech, check out the pod. 835 00:42:45,800 --> 00:42:46,879 Speaker 2: This is Bloomberg Tech.