1 00:00:02,759 --> 00:00:10,119 Speaker 1: Bloomberg Audio Studios, podcasts, radio news from the heart of 2 00:00:10,160 --> 00:00:16,160 Speaker 1: where innovation, money and power collide in Silicon Valley and beyond. 3 00:00:16,320 --> 00:00:46,920 Speaker 1: This is Bloomberg Technology with Caroline Hyde and Ed Ludlow. 4 00:00:35,600 --> 00:00:38,560 Speaker 2: Live from New York and San Francisco. This is Bloomberg Technology. 5 00:00:38,640 --> 00:00:41,360 Speaker 2: The trade war between the US and China it continues, 6 00:00:41,720 --> 00:00:45,400 Speaker 2: China raising its own tariffs on all US goods from 7 00:00:45,440 --> 00:00:47,720 Speaker 2: eighty four percent to one hundred and twenty five percent 8 00:00:47,760 --> 00:00:50,720 Speaker 2: starting tomorrow, after the US raised tariffs to one hundred 9 00:00:50,760 --> 00:00:54,600 Speaker 2: and forty five percent on China. China saying your tariffs 10 00:00:54,640 --> 00:00:57,880 Speaker 2: are a joke. United States, It's no joke to investors. 11 00:00:57,960 --> 00:01:00,160 Speaker 2: What an extraordinary week we have had. We are are 12 00:01:00,160 --> 00:01:02,960 Speaker 2: currently up almost six percent over the course of the 13 00:01:03,000 --> 00:01:05,600 Speaker 2: past five trading days ed on the NASDAP. But it 14 00:01:05,640 --> 00:01:07,880 Speaker 2: really doesn't paint the picture of the extent of the 15 00:01:07,880 --> 00:01:10,240 Speaker 2: whiplash that we've seen throughout that week as you pull 16 00:01:10,319 --> 00:01:12,560 Speaker 2: back on tariffs towards other nations. Look at what we've 17 00:01:12,600 --> 00:01:15,840 Speaker 2: done on the month, though, this context is needed sure 18 00:01:15,920 --> 00:01:18,240 Speaker 2: up on the week. On the downside, for the course 19 00:01:18,280 --> 00:01:20,360 Speaker 2: of April the trading month were off five percent on 20 00:01:20,400 --> 00:01:22,080 Speaker 2: the nast like one hundred dig into the details. 21 00:01:22,200 --> 00:01:22,280 Speaker 3: ED. 22 00:01:23,200 --> 00:01:25,920 Speaker 4: Yeah, I'm looking at the chip sector and across semi conductors. 23 00:01:25,959 --> 00:01:29,920 Speaker 4: There's divergence in the session between fad less names, those 24 00:01:29,959 --> 00:01:33,080 Speaker 4: American companies that design chips that don't make them, and 25 00:01:33,120 --> 00:01:35,640 Speaker 4: those with domestic operations in the US. And buried among 26 00:01:35,680 --> 00:01:39,920 Speaker 4: the headlines overnight was the Chinese regulator and industry body saying, 27 00:01:40,200 --> 00:01:42,880 Speaker 4: by the way, when we think about tariffs on US 28 00:01:42,880 --> 00:01:45,959 Speaker 4: goods imposed by China, this is how we'll define it 29 00:01:46,000 --> 00:01:47,280 Speaker 4: you and are going to get into that throughout the 30 00:01:47,319 --> 00:01:49,720 Speaker 4: course of the show. We have to talk about Apple. 31 00:01:49,960 --> 00:01:52,520 Speaker 4: I feel like Bloomberg Technology as a show was early 32 00:01:52,560 --> 00:01:55,960 Speaker 4: to this discussion on Monday. Will the US build an 33 00:01:56,000 --> 00:01:59,080 Speaker 4: iPhone in the future five days we're higher, but it's 34 00:01:59,120 --> 00:02:02,480 Speaker 4: been so volatile and the analysis from different corners of 35 00:02:02,520 --> 00:02:05,200 Speaker 4: the market is so different. I think we should get 36 00:02:05,200 --> 00:02:05,440 Speaker 4: into it. 37 00:02:05,480 --> 00:02:09,520 Speaker 2: Carry we should because we've been debating time and time again. 38 00:02:09,919 --> 00:02:12,919 Speaker 2: A made in America iPhone is the goal that President 39 00:02:12,919 --> 00:02:15,799 Speaker 2: Trump believes could be a reality ED. But replicating China's 40 00:02:15,800 --> 00:02:19,080 Speaker 2: advanced supply chain it's skilled labor in the United States 41 00:02:19,120 --> 00:02:21,519 Speaker 2: will prove nigh on impossible for the tech giant and 42 00:02:21,720 --> 00:02:24,520 Speaker 2: rak Rana of Blue meg Intelligence joins us, You've got 43 00:02:24,520 --> 00:02:27,000 Speaker 2: a new note out just talking about the implications of 44 00:02:27,080 --> 00:02:29,800 Speaker 2: taris on the margin of Apple. But what would it 45 00:02:29,840 --> 00:02:31,880 Speaker 2: do to the margin of Apple if they ever brought 46 00:02:31,960 --> 00:02:33,800 Speaker 2: production for the iPhone to the United States? 47 00:02:33,880 --> 00:02:36,120 Speaker 5: Anag see, I think a lot would depend on our 48 00:02:36,200 --> 00:02:39,120 Speaker 5: materials that go there, the component costs, the labor cost, 49 00:02:39,680 --> 00:02:42,000 Speaker 5: and I think it'll be very hard for Apple to 50 00:02:42,200 --> 00:02:44,280 Speaker 5: you know, let's say, raise the price of the phone 51 00:02:44,280 --> 00:02:46,919 Speaker 5: to two x and then make it in the US. 52 00:02:46,960 --> 00:02:50,000 Speaker 5: It has to be done in a way that actually 53 00:02:50,120 --> 00:02:52,160 Speaker 5: keeps the cost down and at that point, I mean 54 00:02:52,240 --> 00:02:55,680 Speaker 5: keeps their margins. The reason why Apple shines compares to 55 00:02:55,720 --> 00:02:58,959 Speaker 5: any of the consumer electronics companies because it has very 56 00:02:59,000 --> 00:03:02,600 Speaker 5: high gross margins compared to you know, let's say somebody 57 00:03:02,680 --> 00:03:06,160 Speaker 5: who just sells an Android phone in Asia, for example. 58 00:03:07,160 --> 00:03:09,560 Speaker 4: But those margins run the threats heem. Let's bring up 59 00:03:09,600 --> 00:03:12,880 Speaker 4: Anaag's research that published I think about thirty minutes ago, 60 00:03:13,000 --> 00:03:15,120 Speaker 4: twenty minutes ago. I'm just going to read it. Our 61 00:03:15,160 --> 00:03:17,680 Speaker 4: analysis suggests a margin impact of one hundred to one 62 00:03:17,720 --> 00:03:20,760 Speaker 4: hundred and seventy basis points for every ten percent tariff 63 00:03:20,760 --> 00:03:24,280 Speaker 4: increase on China manufactured products. Apple could mitigate some of 64 00:03:24,280 --> 00:03:27,560 Speaker 4: the impact through price increases. You've been talking about price 65 00:03:27,639 --> 00:03:31,680 Speaker 4: increases a week. The key question seems to beware and 66 00:03:31,760 --> 00:03:33,560 Speaker 4: you think that will be on the services side, not 67 00:03:33,600 --> 00:03:34,840 Speaker 4: on the handsets. 68 00:03:35,680 --> 00:03:37,600 Speaker 5: Because as I said, it's you know, it's very difficult 69 00:03:37,600 --> 00:03:39,600 Speaker 5: to take a thousand dollars phone and double it up 70 00:03:39,840 --> 00:03:42,680 Speaker 5: two thousand, but it's slightly easier to take a you know, 71 00:03:42,720 --> 00:03:45,880 Speaker 5: two ninety nine dollars to ninety nine nicloud plan and 72 00:03:45,960 --> 00:03:48,040 Speaker 5: let's say make it up to five or seven dollars. 73 00:03:48,280 --> 00:03:52,080 Speaker 5: And also remember some of those you know, revenue streams. 74 00:03:52,120 --> 00:03:55,400 Speaker 5: When it comes to the services business, especially cloud services, 75 00:03:55,640 --> 00:03:58,760 Speaker 5: they have very high incremental margins. These are products with 76 00:03:58,840 --> 00:04:02,280 Speaker 5: seventy five, eighty percent or margins much much more than 77 00:04:02,320 --> 00:04:04,600 Speaker 5: the product side of it. And it doesn't really pinch 78 00:04:04,600 --> 00:04:06,720 Speaker 5: the consumer that much. And you know, they could praise 79 00:04:06,760 --> 00:04:08,840 Speaker 5: it as it's only going to be done you know, 80 00:04:08,920 --> 00:04:11,360 Speaker 5: over the next six months or the time period when 81 00:04:11,360 --> 00:04:13,280 Speaker 5: the tabs are and then they can scale it back. 82 00:04:13,720 --> 00:04:16,000 Speaker 5: I think from a consumer point of view, it is less, 83 00:04:16,640 --> 00:04:19,080 Speaker 5: you know, it hurts them less. But again, you know, 84 00:04:19,480 --> 00:04:20,840 Speaker 5: that's just one service. 85 00:04:20,520 --> 00:04:21,040 Speaker 6: I talk about. 86 00:04:21,040 --> 00:04:23,800 Speaker 5: They could be others as well, but I feel very, 87 00:04:24,000 --> 00:04:26,080 Speaker 5: you know, strongly that I don't think they can raise 88 00:04:26,120 --> 00:04:28,640 Speaker 5: the price of a phone up by you know, fifty 89 00:04:28,680 --> 00:04:31,520 Speaker 5: sixty percent, maybe maybe slightly, maybe five percent, ten percent 90 00:04:31,600 --> 00:04:33,640 Speaker 5: or so, but anything above that, you know, I think 91 00:04:33,720 --> 00:04:34,600 Speaker 5: destructs demand. 92 00:04:35,800 --> 00:04:39,080 Speaker 4: Aner Rana Bloomberg Intelligence, thank you very much. They stick 93 00:04:39,120 --> 00:04:42,080 Speaker 4: with Apple and the impact of tariffs on technology. Tony 94 00:04:42,080 --> 00:04:45,680 Speaker 4: one trow Price, science and Tech equity portfolio manager joins us. 95 00:04:45,720 --> 00:04:49,680 Speaker 4: Now Apple the number one holding a tro Price is 96 00:04:49,880 --> 00:04:53,560 Speaker 4: Science and Tech fund that Tony oversees. Tony, when I 97 00:04:53,720 --> 00:04:57,760 Speaker 4: was learning about the technology industry and the markets and 98 00:04:58,240 --> 00:05:01,640 Speaker 4: making my way through Bloomberg Televisions newsroom, I was always 99 00:05:01,720 --> 00:05:05,000 Speaker 4: told that Apple and names like it had an entrench 100 00:05:05,080 --> 00:05:10,200 Speaker 4: market position, strong balance sheet, and in crises or recession, 101 00:05:10,839 --> 00:05:14,320 Speaker 4: that's where they would survive and thrive. But I think 102 00:05:14,760 --> 00:05:18,000 Speaker 4: right now, you can't necessarily look back at history and precedent. 103 00:05:18,360 --> 00:05:21,039 Speaker 4: How on earth are you modeling the future of this company? 104 00:05:21,960 --> 00:05:23,119 Speaker 7: Yeah, well it's a great question. 105 00:05:23,200 --> 00:05:26,640 Speaker 8: Obviously, it's historically been a kind of a balancing name. 106 00:05:27,120 --> 00:05:30,320 Speaker 8: Just that whether a real kind of stock market storm, 107 00:05:30,360 --> 00:05:32,560 Speaker 8: I'd say here, you know, I think that there is 108 00:05:32,600 --> 00:05:35,479 Speaker 8: a lot of fear in the market and concerns amount 109 00:05:35,480 --> 00:05:38,760 Speaker 8: of trade war and what deglobalization could possibly do to 110 00:05:39,320 --> 00:05:42,640 Speaker 8: kind of Apple's manufacturing advantage in China. And so you know, 111 00:05:42,760 --> 00:05:46,240 Speaker 8: when I take a step back, they do have diversified 112 00:05:46,440 --> 00:05:47,360 Speaker 8: supply chains. 113 00:05:47,400 --> 00:05:48,120 Speaker 7: I think they are. 114 00:05:48,920 --> 00:05:50,840 Speaker 8: They do have the ability to move around, and they 115 00:05:50,880 --> 00:05:52,200 Speaker 8: do produce iPhones. 116 00:05:51,839 --> 00:05:53,560 Speaker 7: In India, and when we think. 117 00:05:53,440 --> 00:05:56,920 Speaker 8: About the US, the consumption of iPhones is roughly twenty 118 00:05:56,960 --> 00:05:59,920 Speaker 8: five or thirty percent, and so I expect that there's 119 00:06:00,240 --> 00:06:04,880 Speaker 8: some flexibility to move some of that production to India 120 00:06:04,960 --> 00:06:09,880 Speaker 8: more and therefore diversify that risk a bit. And you know, 121 00:06:09,920 --> 00:06:11,440 Speaker 8: at the end of the day, I think that it 122 00:06:11,560 --> 00:06:14,679 Speaker 8: is about like, you know, how much of a staple 123 00:06:14,760 --> 00:06:18,560 Speaker 8: the iPhone is, and so there's price you know, kind 124 00:06:18,560 --> 00:06:21,920 Speaker 8: of sensitively among the customer to actually you'll pay up. 125 00:06:21,800 --> 00:06:23,799 Speaker 7: For the iPhone. I think that actually could be bullish 126 00:06:23,839 --> 00:06:24,520 Speaker 7: for the stock. 127 00:06:24,640 --> 00:06:26,839 Speaker 8: That just demonstrates more of a it's more of a 128 00:06:26,839 --> 00:06:29,640 Speaker 8: staple than people appreciate. But here I do think that 129 00:06:29,680 --> 00:06:31,640 Speaker 8: there is a lot of fear there and so generally, 130 00:06:32,360 --> 00:06:36,200 Speaker 8: you know, historically you've been a reward for leaning into weakness. 131 00:06:36,680 --> 00:06:39,680 Speaker 2: Then in this weakness Tony. Yes, on the day Apple 132 00:06:40,160 --> 00:06:42,159 Speaker 2: is trading somewhat higher. On the week it is too, 133 00:06:42,160 --> 00:06:45,120 Speaker 2: but on the course of the month it's down fourteen percent. 134 00:06:45,600 --> 00:06:47,520 Speaker 9: Have you been adding to your number one holding? 135 00:06:47,600 --> 00:06:49,560 Speaker 2: Has it at any point looked attract him to get 136 00:06:49,600 --> 00:06:53,200 Speaker 2: back in with more addition, I think, you know, the. 137 00:06:53,200 --> 00:06:56,039 Speaker 8: Company's still really well positioned over the long term. You 138 00:06:56,080 --> 00:06:58,880 Speaker 8: look at like the ecosystem they built, the quality of 139 00:06:58,880 --> 00:07:02,719 Speaker 8: the product, and then you're also an iPhone upgrade cycle coming, 140 00:07:03,160 --> 00:07:05,680 Speaker 8: and you know, a placement cycle has been elongated, and 141 00:07:05,720 --> 00:07:07,880 Speaker 8: if you get a new form factor, I think that 142 00:07:07,880 --> 00:07:09,200 Speaker 8: could be like really attractive. 143 00:07:09,720 --> 00:07:11,280 Speaker 7: And you know, at the end of the day, like 144 00:07:11,360 --> 00:07:13,480 Speaker 7: the evaluation has become more. 145 00:07:15,000 --> 00:07:19,080 Speaker 8: Attractive, especially at these levels versus where they were, you know, 146 00:07:19,120 --> 00:07:21,920 Speaker 8: six and nine months ago. You know, in addition, it 147 00:07:22,040 --> 00:07:25,040 Speaker 8: is one of the Max seven that hasn't been spending 148 00:07:25,040 --> 00:07:27,200 Speaker 8: a ton on large language models. 149 00:07:27,200 --> 00:07:29,080 Speaker 7: So the capital intensity. 150 00:07:28,560 --> 00:07:31,600 Speaker 8: And the free cash flow quality of the company is 151 00:07:31,640 --> 00:07:33,360 Speaker 8: still very, very high quality. 152 00:07:34,120 --> 00:07:37,080 Speaker 2: Go there, Tony for a moment, Because people were ringing 153 00:07:37,120 --> 00:07:40,200 Speaker 2: their hands about Apple before the trade war because of 154 00:07:40,240 --> 00:07:43,480 Speaker 2: a lack of urgency on AI, the implementation within Siri, 155 00:07:44,120 --> 00:07:47,800 Speaker 2: this distraction that Tariff's cause does it set them back 156 00:07:47,840 --> 00:07:51,280 Speaker 2: even further about upgrading the product from an AI perspective. 157 00:07:53,840 --> 00:07:57,240 Speaker 8: Well, I think that they are, you know, constantly optimizing 158 00:07:57,240 --> 00:08:01,320 Speaker 8: their supply chains. Obviously it's additional work on their their plate, 159 00:08:01,440 --> 00:08:04,440 Speaker 8: but I don't think that they are standing still on 160 00:08:04,880 --> 00:08:07,720 Speaker 8: the AI front. I think they're besting more actually, and 161 00:08:07,840 --> 00:08:10,480 Speaker 8: you see that, you know some news are them purchasing 162 00:08:10,520 --> 00:08:12,800 Speaker 8: more GPUs And you know, when I when I think 163 00:08:12,840 --> 00:08:15,480 Speaker 8: about the space, there's just a lot of things evolving 164 00:08:15,800 --> 00:08:17,520 Speaker 8: and what we thought a year ago. 165 00:08:17,840 --> 00:08:19,920 Speaker 7: Uh has has kind of changed in a lot. 166 00:08:19,800 --> 00:08:22,160 Speaker 8: Of ways in terms of, you know, who can participate 167 00:08:22,200 --> 00:08:25,040 Speaker 8: in AI and like what these large language models can 168 00:08:25,080 --> 00:08:28,040 Speaker 8: cost and which one is the best. So every time, 169 00:08:28,160 --> 00:08:30,320 Speaker 8: like it feels like every month, there's a new headline 170 00:08:30,320 --> 00:08:32,280 Speaker 8: of who is in the lead. And so it could 171 00:08:32,280 --> 00:08:35,760 Speaker 8: be prudent of Apple to kind of, you know, focus 172 00:08:35,840 --> 00:08:38,319 Speaker 8: on what they're really good at, what their competitive vantage is, 173 00:08:38,360 --> 00:08:42,680 Speaker 8: which is designing really high quality products that fit into 174 00:08:42,679 --> 00:08:46,280 Speaker 8: our lives, that can be incorporated elegantly. And at the 175 00:08:46,360 --> 00:08:49,720 Speaker 8: end of they do own that kind of ecosystem and 176 00:08:49,880 --> 00:08:52,079 Speaker 8: you know, over time, I think they can you know, 177 00:08:52,600 --> 00:08:55,160 Speaker 8: drive value from that for their shareholders. 178 00:08:55,920 --> 00:08:58,320 Speaker 4: Tony, let's end this conversation on Apple with a yes 179 00:08:58,440 --> 00:09:03,920 Speaker 4: or no. Does Apple manufacturer and assemble an iPhone in 180 00:09:04,000 --> 00:09:05,679 Speaker 4: the United States in the future. 181 00:09:08,120 --> 00:09:11,720 Speaker 8: I think it's possible in the very kind of long 182 00:09:11,800 --> 00:09:14,280 Speaker 8: term future. I think in the near term. And you 183 00:09:14,320 --> 00:09:17,240 Speaker 8: look at kind of what it takes the man manufacturing iPhone. 184 00:09:17,280 --> 00:09:20,160 Speaker 8: I mean, you know, there's thousands of people that are 185 00:09:20,200 --> 00:09:23,440 Speaker 8: living at the factory that can be woken up, you know, 186 00:09:23,679 --> 00:09:26,880 Speaker 8: anytime the hour to make a change. And so you know, 187 00:09:26,920 --> 00:09:28,600 Speaker 8: I think that in the long term that could be 188 00:09:28,640 --> 00:09:31,360 Speaker 8: possible with additional advancements and robotics and AI. 189 00:09:31,600 --> 00:09:33,800 Speaker 7: But I don't think it's going to be a next 190 00:09:33,840 --> 00:09:35,160 Speaker 7: year kind of thing, right. 191 00:09:36,320 --> 00:09:38,800 Speaker 4: I saw a headline overnight that we think is a 192 00:09:38,840 --> 00:09:43,040 Speaker 4: critical right, which is China Semiconductor Industry Association issue this 193 00:09:43,120 --> 00:09:48,079 Speaker 4: emergency notice and they clarified that in the context of tariffs, 194 00:09:48,480 --> 00:09:53,520 Speaker 4: they define point of origin where a semiconductor is taped out, 195 00:09:53,520 --> 00:09:57,720 Speaker 4: in other words, where the electronic instruction set is formulated 196 00:09:57,760 --> 00:09:59,959 Speaker 4: before it goes to the fab And if you think 197 00:10:00,040 --> 00:10:02,240 Speaker 4: about the fabulous US names, many of which you have 198 00:10:02,280 --> 00:10:08,040 Speaker 4: big holdings in, they use TSMC or maybe Samsung. So 199 00:10:08,080 --> 00:10:11,040 Speaker 4: the tape out happens in those countries as well. How 200 00:10:11,120 --> 00:10:14,520 Speaker 4: much insulation do you think that gives them from the 201 00:10:14,559 --> 00:10:16,720 Speaker 4: heavy China tariffs on US products. 202 00:10:16,960 --> 00:10:19,520 Speaker 8: Yeah, well, I think that if you take a step back, right, 203 00:10:19,600 --> 00:10:23,000 Speaker 8: like the two countries have been trying to disentangle them 204 00:10:23,160 --> 00:10:28,000 Speaker 8: each other from major kind of supply chains and you know, 205 00:10:28,080 --> 00:10:31,680 Speaker 8: areas of where if you could substitute a domestic product 206 00:10:31,920 --> 00:10:33,480 Speaker 8: that would be preferred. 207 00:10:33,040 --> 00:10:35,480 Speaker 7: And that's nothing new over the past few years. 208 00:10:35,480 --> 00:10:37,679 Speaker 8: And I think that you know, this kind of the 209 00:10:37,760 --> 00:10:39,920 Speaker 8: latest piece of news is further kind of a step 210 00:10:39,920 --> 00:10:43,600 Speaker 8: in that direction, where you know, it doesn't make sense to. 211 00:10:44,160 --> 00:10:47,480 Speaker 7: Hurt yourself by kind of terrifying. 212 00:10:47,160 --> 00:10:50,360 Speaker 8: The only source that you have, and so like in 213 00:10:50,480 --> 00:10:54,000 Speaker 8: terms of stuff made in TSMC, like both countries need that, 214 00:10:54,080 --> 00:10:56,560 Speaker 8: so it makes a little bit less sense to put 215 00:10:56,600 --> 00:10:59,600 Speaker 8: a high tariff on that when it's when it's sole source. 216 00:10:59,679 --> 00:11:02,920 Speaker 8: So that's kind of my perspective. That's a continuation of 217 00:11:03,320 --> 00:11:05,959 Speaker 8: industrial policy that kind of kind of makes sense. 218 00:11:06,920 --> 00:11:10,880 Speaker 2: Let's talk about the others though, that are exposed now. 219 00:11:11,320 --> 00:11:13,880 Speaker 2: I'm interested as to whether you have holdings in those 220 00:11:13,920 --> 00:11:16,880 Speaker 2: that are manufacturing in the United States or looking to 221 00:11:17,000 --> 00:11:20,040 Speaker 2: even more with the cost money coming from federal government 222 00:11:20,080 --> 00:11:21,760 Speaker 2: wanting them made in the US, and what that does 223 00:11:21,760 --> 00:11:24,199 Speaker 2: to the business model if they ship to Asia to 224 00:11:24,320 --> 00:11:26,360 Speaker 2: China specifically, Tony, do you have to get out of 225 00:11:26,360 --> 00:11:27,760 Speaker 2: intels and Texas instruments? 226 00:11:28,200 --> 00:11:30,320 Speaker 8: Well, I think that over the long term, it's more 227 00:11:30,360 --> 00:11:34,680 Speaker 8: about the technology and the differentiation and what you can 228 00:11:35,160 --> 00:11:36,679 Speaker 8: the value add that you can. So if you have 229 00:11:36,760 --> 00:11:40,400 Speaker 8: leadership products, I think that's still number one, you know, 230 00:11:40,440 --> 00:11:43,559 Speaker 8: I think number two. I think that divers sized supply chains, 231 00:11:43,640 --> 00:11:48,240 Speaker 8: like serving the local industry that it's based out of 232 00:11:48,400 --> 00:11:52,040 Speaker 8: or the region is probably going to be a good thing. 233 00:11:52,360 --> 00:11:54,000 Speaker 8: And so at the end of the day, I think 234 00:11:54,000 --> 00:11:57,080 Speaker 8: it's those two things, like some flexibility manufacturing, but like 235 00:11:57,120 --> 00:11:59,640 Speaker 8: the main thing is the product, leadership and the seculor 236 00:11:59,720 --> 00:12:02,760 Speaker 8: trend that a company is kind of, you know, kind 237 00:12:02,800 --> 00:12:04,320 Speaker 8: of positioned to capitalize on. 238 00:12:05,520 --> 00:12:09,160 Speaker 4: Tony, like all technology investors, you have had to digest 239 00:12:09,200 --> 00:12:13,440 Speaker 4: and understand communication from policymakers. How would you rate and 240 00:12:13,559 --> 00:12:17,320 Speaker 4: rank what you've heard from the President, Treasury, Secretary best 241 00:12:17,520 --> 00:12:18,000 Speaker 4: and others. 242 00:12:18,400 --> 00:12:21,640 Speaker 8: Well, I'm a tech investor, so you know, geopolitics is 243 00:12:21,679 --> 00:12:24,679 Speaker 8: above my pay grade obviously, but you know, at the 244 00:12:24,760 --> 00:12:26,960 Speaker 8: end of the day, I think that the US leap 245 00:12:27,320 --> 00:12:30,240 Speaker 8: administration and the leaders that we have acted, you know, 246 00:12:30,360 --> 00:12:34,240 Speaker 8: they will do what's best for the country for companies 247 00:12:34,240 --> 00:12:36,520 Speaker 8: here in the US. So I think that we need 248 00:12:36,520 --> 00:12:38,800 Speaker 8: to trust them and they do. You know, I think 249 00:12:38,840 --> 00:12:42,160 Speaker 8: they are trend trying their best, and you know, at 250 00:12:42,200 --> 00:12:44,559 Speaker 8: the end of the day, I think that they will 251 00:12:44,559 --> 00:12:48,440 Speaker 8: protect American interest and what's most important is keeping US 252 00:12:48,440 --> 00:12:52,480 Speaker 8: technology at the forefront. And you know, that's that's what's 253 00:12:52,480 --> 00:12:53,960 Speaker 8: what I look for as an investor. 254 00:12:54,559 --> 00:12:57,520 Speaker 9: Tony one, thank you so much of trow price. 255 00:12:57,600 --> 00:13:00,000 Speaker 2: So important to have the investor take today and after 256 00:13:00,400 --> 00:13:12,000 Speaker 2: one long week Chinese social media and giant bite dance, 257 00:13:12,200 --> 00:13:15,360 Speaker 2: it saw its revenue jump twenty nine percent last year. 258 00:13:15,520 --> 00:13:18,280 Speaker 2: It was driven by the global expansion of you guessed at. 259 00:13:18,320 --> 00:13:18,720 Speaker 9: TikTok. 260 00:13:18,880 --> 00:13:21,960 Speaker 2: International sales grew thirty nine billion dollars, contributing about a 261 00:13:22,040 --> 00:13:23,360 Speaker 2: quarter of the company's revenue. 262 00:13:23,400 --> 00:13:24,640 Speaker 9: It's all according to people. 263 00:13:24,360 --> 00:13:28,320 Speaker 2: Briefed on the numbers, now that as the Chinese business slowed. Now, 264 00:13:28,360 --> 00:13:31,760 Speaker 2: of course, tensions between Washington and Beijing expect to impact 265 00:13:31,840 --> 00:13:34,680 Speaker 2: both the global economy possible sale of TikTok in the 266 00:13:34,760 --> 00:13:35,360 Speaker 2: United States. 267 00:13:35,480 --> 00:13:36,320 Speaker 9: We've got to get to it. 268 00:13:36,360 --> 00:13:36,560 Speaker 6: All. 269 00:13:36,720 --> 00:13:40,679 Speaker 2: Mitchell Green, founder, managing partner of lead Edge Capital, longtime 270 00:13:40,800 --> 00:13:44,000 Speaker 2: investor in names like Byte Dances with us. Mitchell, have 271 00:13:44,080 --> 00:13:46,240 Speaker 2: you been adding to Byte Dance. What do you make 272 00:13:46,720 --> 00:13:48,480 Speaker 2: of where we stand in terms of TikTok in the 273 00:13:48,559 --> 00:13:49,560 Speaker 2: United States? 274 00:13:50,120 --> 00:13:52,000 Speaker 10: Yeah, and hey, Carolyn, thanks so much for having me on. 275 00:13:52,600 --> 00:13:55,040 Speaker 10: What do I think we can talk about that for 276 00:13:55,080 --> 00:13:58,760 Speaker 10: a while. The company continues to see you very well. 277 00:13:58,960 --> 00:14:03,440 Speaker 10: As we've said past, in the grand scheme of things, 278 00:14:03,800 --> 00:14:06,840 Speaker 10: you know, uncertainty kills deals. I wish I could tell 279 00:14:06,880 --> 00:14:10,000 Speaker 10: you exactly where things stand in this negotiation between the 280 00:14:10,040 --> 00:14:13,079 Speaker 10: White House, White Dance, the Chinese government. 281 00:14:13,200 --> 00:14:14,600 Speaker 6: Discussions are on tariffs. 282 00:14:15,480 --> 00:14:19,880 Speaker 10: Look, we've always had frankly questions on the on the 283 00:14:20,000 --> 00:14:23,280 Speaker 10: US TikTok uh. You know, again, as I've mentioned in 284 00:14:23,320 --> 00:14:26,880 Speaker 10: the past, we model out TikTok usa to be worth zero. 285 00:14:27,480 --> 00:14:30,040 Speaker 10: I suspect something will come of it. I don't know 286 00:14:30,040 --> 00:14:31,680 Speaker 10: if it's in a month from now, three months, or 287 00:14:31,720 --> 00:14:32,800 Speaker 10: now from six months or now. 288 00:14:33,440 --> 00:14:34,200 Speaker 6: We shall see. 289 00:14:34,880 --> 00:14:36,760 Speaker 10: It is obviously a very valuable business that a lot 290 00:14:36,760 --> 00:14:40,560 Speaker 10: of constituents want to figure out, not only board members 291 00:14:40,560 --> 00:14:43,360 Speaker 10: and shareholders and the CEO of Bite Dance, but we 292 00:14:43,440 --> 00:14:45,760 Speaker 10: now have this giant taraph war going on between the 293 00:14:45,840 --> 00:14:46,560 Speaker 10: US and China, So. 294 00:14:46,520 --> 00:14:47,960 Speaker 6: It's all going to get dragged into it and play 295 00:14:47,960 --> 00:14:48,440 Speaker 6: out together. 296 00:14:49,080 --> 00:14:52,520 Speaker 2: Mitchell, you've been on the secondary market picking up Byte 297 00:14:52,640 --> 00:14:57,000 Speaker 2: Dance in recent months. Would you want exposure to us 298 00:14:57,120 --> 00:15:00,360 Speaker 2: TikTok if it was indeed extricated out of bite ants 299 00:15:00,360 --> 00:15:01,560 Speaker 2: and had US ownership. 300 00:15:02,440 --> 00:15:04,600 Speaker 10: Absolutely, And we have also not bought any Byte Dance 301 00:15:04,640 --> 00:15:08,640 Speaker 10: shares this year. There's been some there's been some changes 302 00:15:08,680 --> 00:15:09,240 Speaker 10: with Sippius. 303 00:15:09,320 --> 00:15:11,640 Speaker 6: A lot of people don't know about this publicly known 304 00:15:11,960 --> 00:15:13,840 Speaker 6: that Syphius came out and put some. 305 00:15:15,600 --> 00:15:18,800 Speaker 10: Restrictions on what kinds of companies you could buy globally 306 00:15:19,040 --> 00:15:21,440 Speaker 10: related t if the AI model speed was fast enough 307 00:15:21,560 --> 00:15:24,840 Speaker 10: or not. It's a questionable area if White Dance falls 308 00:15:24,840 --> 00:15:26,800 Speaker 10: into this or not. But in order to just stay 309 00:15:26,840 --> 00:15:29,080 Speaker 10: conservative and be on the right side, you know, we 310 00:15:29,120 --> 00:15:32,040 Speaker 10: have not bought anymore of the last several months. 311 00:15:32,640 --> 00:15:33,200 Speaker 6: We do on it. 312 00:15:33,240 --> 00:15:38,080 Speaker 10: What I like, What would I like to own TikTok Usa? Absolutely, 313 00:15:38,240 --> 00:15:41,480 Speaker 10: if you know, if they're allowed existing investors, and again 314 00:15:41,520 --> 00:15:45,200 Speaker 10: about sixty percent of investors in the company are non 315 00:15:45,320 --> 00:15:49,640 Speaker 10: Chinese investors. If we could add to our position, obviously 316 00:15:49,720 --> 00:15:51,560 Speaker 10: it depends on price. 317 00:15:51,680 --> 00:15:54,440 Speaker 6: You know, we could be quite interested, Mitchell. 318 00:15:54,600 --> 00:15:59,280 Speaker 4: Starting Monday night into Tuesday morning, I started getting phone 319 00:15:59,280 --> 00:16:02,160 Speaker 4: calls that there was quite a lot of activity on 320 00:16:02,200 --> 00:16:06,880 Speaker 4: the secondary's market for byte dance valuation range two eighty 321 00:16:06,920 --> 00:16:09,240 Speaker 4: to three hundred and twenty billion, depending on the offer 322 00:16:09,320 --> 00:16:09,880 Speaker 4: lot size. 323 00:16:09,960 --> 00:16:10,160 Speaker 11: Right. 324 00:16:10,640 --> 00:16:13,120 Speaker 4: But to your point, what I was told is a 325 00:16:13,120 --> 00:16:17,680 Speaker 4: lot of that activity was from Asia, right, China, maybe Singapore. 326 00:16:18,160 --> 00:16:21,440 Speaker 4: But it followed the President on Sunday night. You may 327 00:16:21,480 --> 00:16:25,120 Speaker 4: have seen the clip on Air Force one saying that 328 00:16:25,440 --> 00:16:27,680 Speaker 4: if it weren't for tariffs that he'd put in place, 329 00:16:27,720 --> 00:16:30,480 Speaker 4: they had a deal. How do you interpret that trading? 330 00:16:30,840 --> 00:16:33,640 Speaker 4: You know, if the outlook for the deal is poor, 331 00:16:34,280 --> 00:16:38,400 Speaker 4: but you see private market investors in Asia trying to 332 00:16:38,840 --> 00:16:40,080 Speaker 4: get more of a foothold. 333 00:16:42,600 --> 00:16:46,840 Speaker 10: Oh, the Chinese business is doing phenomenally well, which is 334 00:16:46,920 --> 00:16:50,240 Speaker 10: absolutely incredible, given I don't think the Chinese economy is 335 00:16:50,280 --> 00:16:52,080 Speaker 10: like rowing right now, and I don't know if it's 336 00:16:52,080 --> 00:16:54,160 Speaker 10: far apart, but I mean it's just it's been unique. 337 00:16:54,200 --> 00:16:55,600 Speaker 10: And you can look at some of the other ecomerce 338 00:16:55,640 --> 00:16:59,200 Speaker 10: businesses across China and so, actually, how are the performances 339 00:16:59,680 --> 00:17:03,040 Speaker 10: in right answers doing in China is strong. I wouldn't 340 00:17:03,080 --> 00:17:05,480 Speaker 10: read into I have no clue if the deal is 341 00:17:05,520 --> 00:17:08,120 Speaker 10: almost done or close to done or whatever. 342 00:17:08,520 --> 00:17:11,359 Speaker 6: I have. When it comes to politics. 343 00:17:10,840 --> 00:17:14,840 Speaker 10: I tend to just listen and not really make opinions 344 00:17:14,880 --> 00:17:15,600 Speaker 10: and I don't really know. 345 00:17:16,160 --> 00:17:18,479 Speaker 6: Yeah, well, we'll see it again again. There's a handful 346 00:17:18,480 --> 00:17:21,399 Speaker 6: of people that need to be involved. Chi President of 347 00:17:21,400 --> 00:17:23,359 Speaker 6: the United States had. 348 00:17:23,200 --> 00:17:25,359 Speaker 10: The CEO bite dance, and I can't say any of 349 00:17:25,359 --> 00:17:26,440 Speaker 10: them are good friends of mine. 350 00:17:26,520 --> 00:17:29,919 Speaker 4: So if they do telephone you, you let us know. 351 00:17:31,280 --> 00:17:33,440 Speaker 6: I'll let you know if she calls me die. 352 00:17:34,440 --> 00:17:37,119 Speaker 4: There is a there is a technology conversation here right. 353 00:17:37,119 --> 00:17:39,080 Speaker 4: I go back to when I was at CEES and 354 00:17:39,119 --> 00:17:43,119 Speaker 4: at GtC very recently, and Jensen Wong's point the CEO 355 00:17:43,160 --> 00:17:46,480 Speaker 4: of and Video that basically more than fifty percent of 356 00:17:46,520 --> 00:17:48,920 Speaker 4: all the computer scientists in the world working on artificial 357 00:17:48,960 --> 00:17:52,479 Speaker 4: intelligence are doing so in China or they are from China. 358 00:17:53,119 --> 00:17:55,720 Speaker 4: What kind of future is there to sort of work 359 00:17:55,760 --> 00:17:58,800 Speaker 4: with that country on technology and founding new companies. 360 00:18:01,400 --> 00:18:08,240 Speaker 10: I strongly believe whether it's technology transfer, technology exports, imports. 361 00:18:08,840 --> 00:18:12,600 Speaker 6: Like the trade trade is global, we all need to 362 00:18:12,600 --> 00:18:15,800 Speaker 6: figure out how to work together. China plus the us 363 00:18:16,119 --> 00:18:17,840 Speaker 6: working together is a good thing. 364 00:18:18,880 --> 00:18:23,119 Speaker 10: I am a strong believer in like the education system 365 00:18:23,240 --> 00:18:28,040 Speaker 10: in China, the entrepreneurship in China as well as in 366 00:18:28,040 --> 00:18:30,680 Speaker 10: the United States as well. But again, like for instance, 367 00:18:30,960 --> 00:18:34,800 Speaker 10: we I've talked about this another I think I'm Bloomberg 368 00:18:34,880 --> 00:18:35,600 Speaker 10: and other sessions. 369 00:18:37,080 --> 00:18:40,000 Speaker 6: Chinese regulate social media. 370 00:18:41,280 --> 00:18:43,880 Speaker 10: You know, in the United States, kids go on TikTok 371 00:18:44,119 --> 00:18:46,760 Speaker 10: and post ridiculous videos about all kinds of stupid stuff. 372 00:18:47,000 --> 00:18:49,560 Speaker 10: In China, they learn about science and math on TikTok. 373 00:18:50,440 --> 00:18:52,960 Speaker 10: I think maybe we should ask should we be regulating 374 00:18:52,960 --> 00:18:53,600 Speaker 10: this stuff more? 375 00:18:53,840 --> 00:18:54,480 Speaker 6: Should we be. 376 00:18:54,400 --> 00:18:56,800 Speaker 10: Repeeling some of these laws that don't hold social media 377 00:18:56,840 --> 00:18:58,040 Speaker 10: companies accountable by the. 378 00:18:58,040 --> 00:19:01,560 Speaker 6: Way that gets does in China? And so I think 379 00:19:01,560 --> 00:19:03,240 Speaker 6: there are things that we should be learning at. And 380 00:19:03,320 --> 00:19:04,879 Speaker 6: some of those things that are happening in China and 381 00:19:04,880 --> 00:19:05,880 Speaker 6: applying to the United. 382 00:19:05,720 --> 00:19:09,239 Speaker 2: States interesting tat Mitchell and I want to go there 383 00:19:09,280 --> 00:19:11,480 Speaker 2: because you have exposure, not just to China. We bring 384 00:19:11,520 --> 00:19:13,280 Speaker 2: you on because you've been so long in the names 385 00:19:13,320 --> 00:19:15,560 Speaker 2: like Ali Baba, you're an aunt, you're in byte Dance, 386 00:19:16,000 --> 00:19:18,879 Speaker 2: long term investor, understanding that economy. We look at the 387 00:19:18,920 --> 00:19:21,760 Speaker 2: rest of your old portfolio. You know, well, us exposure 388 00:19:21,760 --> 00:19:26,359 Speaker 2: too uber bumble, you know, Europe with Spotify. How difficult 389 00:19:26,560 --> 00:19:28,920 Speaker 2: is it to remain committed to China right now when 390 00:19:28,960 --> 00:19:32,119 Speaker 2: Sophius is changing up the rules, When you are unable 391 00:19:32,160 --> 00:19:35,480 Speaker 2: to commit capital and the way you'd like to, it's complicated. 392 00:19:35,480 --> 00:19:38,960 Speaker 10: And again, most of our business is actually North America 393 00:19:39,000 --> 00:19:40,719 Speaker 10: and Western Europe. You know, we have a team of 394 00:19:41,000 --> 00:19:44,080 Speaker 10: eighteen associates that are twenty two to twenty four years 395 00:19:44,119 --> 00:19:47,320 Speaker 10: old that you know, speak about nine thousand companies a year, 396 00:19:47,680 --> 00:19:50,520 Speaker 10: and we all you know, we might speak to ten 397 00:19:50,560 --> 00:19:53,720 Speaker 10: to twenty companies and all across Stasia. So what we've 398 00:19:53,760 --> 00:19:56,359 Speaker 10: done in China is a very handful of some of 399 00:19:56,359 --> 00:19:59,479 Speaker 10: the largest businesses over there where they could effectively be there. 400 00:19:59,520 --> 00:20:01,840 Speaker 6: They are a to be public companies, it just happened 401 00:20:01,840 --> 00:20:06,000 Speaker 6: to be private. We tend to like to be contrarian, 402 00:20:06,480 --> 00:20:06,679 Speaker 6: you know. 403 00:20:06,720 --> 00:20:10,400 Speaker 10: And it was funny a year ago, nine months ago, 404 00:20:10,840 --> 00:20:14,400 Speaker 10: nobody liked wanted to invest anything in China. Yet then 405 00:20:14,440 --> 00:20:17,320 Speaker 10: you saw stocks like Ali Baba go from once, you know, 406 00:20:17,359 --> 00:20:20,080 Speaker 10: from sixty seventy dollars a share, it's like one hundred 407 00:20:20,080 --> 00:20:22,159 Speaker 10: and thirty hundred and twenty. Now people were liking China 408 00:20:22,200 --> 00:20:25,000 Speaker 10: again because they saw Chi and Jack ma. I think 409 00:20:25,000 --> 00:20:27,199 Speaker 10: it's some conference together and I don't know where all 410 00:20:27,200 --> 00:20:29,240 Speaker 10: about this today. Maybe it's back at one hundred a share. 411 00:20:29,320 --> 00:20:31,240 Speaker 10: So this stuff is so volatile, but we find that 412 00:20:31,320 --> 00:20:34,200 Speaker 10: you buy China when the rest of the world hates it, 413 00:20:34,480 --> 00:20:36,200 Speaker 10: you can tend to make lots of money. But again, 414 00:20:36,200 --> 00:20:38,800 Speaker 10: most of the stuff we invest in is right back 415 00:20:38,840 --> 00:20:42,600 Speaker 10: in in the United States and right now. Look, I 416 00:20:42,600 --> 00:20:46,199 Speaker 10: think in the terriff situation, I can have an opinion 417 00:20:46,200 --> 00:20:48,280 Speaker 10: of it today, it'll probably change. 418 00:20:48,000 --> 00:20:50,160 Speaker 6: In a week, a month, and six months. 419 00:20:50,240 --> 00:20:53,880 Speaker 10: But uncertainty is what actually slows down the economy, right 420 00:20:53,920 --> 00:20:57,080 Speaker 10: And you know, our portfolio has made the high high 421 00:20:57,119 --> 00:21:00,520 Speaker 10: margin software companies that don't have direct you know, inputs 422 00:21:00,640 --> 00:21:02,679 Speaker 10: coming overseas and things being chipped in. 423 00:21:02,720 --> 00:21:03,960 Speaker 6: With that being said, if. 424 00:21:03,800 --> 00:21:08,360 Speaker 10: You sell airline software, are you sell software manufacturing companies? 425 00:21:08,359 --> 00:21:10,680 Speaker 10: And those companies are nervous about what's going to happen 426 00:21:10,720 --> 00:21:12,439 Speaker 10: in their businesses. They might start to pull back on 427 00:21:12,520 --> 00:21:15,320 Speaker 10: spending and the whole thing kind of like unravels on itself. 428 00:21:15,720 --> 00:21:19,520 Speaker 2: And if there's cuts to R and D in healthcare 429 00:21:19,640 --> 00:21:21,800 Speaker 2: research and you're in a name like Benchling, which is 430 00:21:21,840 --> 00:21:25,040 Speaker 2: all about community of scientists. I'm really interested in Mitchell 431 00:21:25,080 --> 00:21:28,119 Speaker 2: ultimately how difficult this environment is when some of the 432 00:21:28,160 --> 00:21:30,120 Speaker 2: companies that we thought were going to go public now 433 00:21:30,200 --> 00:21:33,080 Speaker 2: can't or don't want to. How is that impacting the 434 00:21:33,119 --> 00:21:35,120 Speaker 2: way in which you raise the next fund for example? 435 00:21:35,880 --> 00:21:39,400 Speaker 6: Yeah, so we were so, we were very We don't. 436 00:21:39,200 --> 00:21:43,359 Speaker 10: Talk about performance on obviously and pull me or anything 437 00:21:43,440 --> 00:21:50,520 Speaker 10: like that, but you know, we believe that investor funds 438 00:21:50,960 --> 00:21:55,359 Speaker 10: that took advantage of getting the quidity and what's called DPI. 439 00:21:56,240 --> 00:21:57,960 Speaker 10: It's so much money you've given back on a net 440 00:21:57,960 --> 00:22:00,960 Speaker 10: basis to your investors over the last few years, in 441 00:22:00,960 --> 00:22:03,080 Speaker 10: the last five years, is really going to matter for 442 00:22:03,160 --> 00:22:04,960 Speaker 10: funds as they go forward graating money. 443 00:22:05,520 --> 00:22:07,840 Speaker 6: We are we are going to everybody. 444 00:22:07,400 --> 00:22:10,199 Speaker 10: Thought two thousand and six, twenty twenty five is going 445 00:22:10,280 --> 00:22:12,000 Speaker 10: to be the year of the IPO. There was maybe 446 00:22:12,000 --> 00:22:14,879 Speaker 10: this giant IPO. Aa, Well that's dead, Like that's not 447 00:22:14,960 --> 00:22:16,800 Speaker 10: happening now. 448 00:22:16,800 --> 00:22:18,399 Speaker 6: Again. I think these companies could go public. 449 00:22:18,440 --> 00:22:20,520 Speaker 10: It's just the question of what valuation will could they 450 00:22:20,520 --> 00:22:21,800 Speaker 10: and will they then go public? 451 00:22:21,800 --> 00:22:23,679 Speaker 6: And you know, your guess is as good as mine. 452 00:22:23,760 --> 00:22:26,000 Speaker 10: But I think this liquidity drought is going to continue, 453 00:22:26,680 --> 00:22:29,120 Speaker 10: and I think as a result of liquidity drought, you're 454 00:22:29,119 --> 00:22:31,679 Speaker 10: going to have a lot of endowments and foundations and 455 00:22:31,760 --> 00:22:34,960 Speaker 10: other big institutional investors that are networks that are over 456 00:22:35,000 --> 00:22:39,200 Speaker 10: allocated to private equity, venture capital, growth equity, real estate, 457 00:22:39,280 --> 00:22:41,760 Speaker 10: private equity, everything that are going that are. 458 00:22:41,600 --> 00:22:44,359 Speaker 6: Going to unlock the secondary market. And the secondary market 459 00:22:44,359 --> 00:22:45,439 Speaker 6: has already been busy. 460 00:22:45,840 --> 00:22:49,800 Speaker 10: It is about to if this continues, call it six months, 461 00:22:49,880 --> 00:22:51,720 Speaker 10: nine months, and twelve months, you are about to see 462 00:22:51,800 --> 00:22:54,280 Speaker 10: a huge amount of institutions that are going to be 463 00:22:54,320 --> 00:22:57,000 Speaker 10: massively over allocated to private equity, that are going to 464 00:22:57,080 --> 00:22:59,360 Speaker 10: need to turn to the secondary markets and sell things 465 00:23:00,160 --> 00:23:02,440 Speaker 10: that for us will create a great opportunity. Did you 466 00:23:02,560 --> 00:23:05,600 Speaker 10: want to be buying from sellers that are forced to sell? 467 00:23:06,080 --> 00:23:10,360 Speaker 4: Mitchell Green, lead Edge Capital. Thank you really appreciated conversation, Caroline. 468 00:23:10,359 --> 00:23:11,399 Speaker 7: What you got a's time. 469 00:23:11,280 --> 00:23:14,320 Speaker 2: For talking tech head and first up, Logitech It withdrew 470 00:23:14,400 --> 00:23:16,800 Speaker 2: its full year twenty twenty six outlook due to quote 471 00:23:16,920 --> 00:23:19,040 Speaker 2: continuing uncertainties of the tariff environment. 472 00:23:19,160 --> 00:23:20,520 Speaker 9: Now Vonda Bell analysts. 473 00:23:20,160 --> 00:23:22,840 Speaker 2: Say this is a sensible move, but the company's margins 474 00:23:22,880 --> 00:23:24,679 Speaker 2: will certainly be challenged, and you saw the impact on 475 00:23:24,680 --> 00:23:27,800 Speaker 2: the shares plus Tesla, it stopped taking orders in China 476 00:23:27,880 --> 00:23:30,840 Speaker 2: for its model ES Sedans its model Export utility vehicles, 477 00:23:31,040 --> 00:23:33,920 Speaker 2: both of which are imported from the United States. That's 478 00:23:33,960 --> 00:23:36,120 Speaker 2: after the country has raised tariffs on one another. Of course, 479 00:23:36,160 --> 00:23:38,520 Speaker 2: this could be a setback to the company's already shaky 480 00:23:38,560 --> 00:23:42,359 Speaker 2: position in the Chinese market. Meanwhile, Ali Baba co founder 481 00:23:42,480 --> 00:23:45,320 Speaker 2: Jack Maer He's worn that AI shouldn't replace humans, but 482 00:23:45,359 --> 00:23:48,840 Speaker 2: work instead to meet their every need. The Chinese billionaire 483 00:23:48,880 --> 00:23:51,600 Speaker 2: who wants like an AI to love here hogued that 484 00:23:51,640 --> 00:23:55,119 Speaker 2: the technology should protect livelihoods and make lives better. 485 00:23:56,200 --> 00:23:59,679 Speaker 4: Okay, coming up analog devices, Texas instruments, big declines. We 486 00:23:59,720 --> 00:24:04,760 Speaker 4: take it deep dive into two a city's top semiconductor pigs. 487 00:24:04,960 --> 00:24:08,600 Speaker 4: The timing of that call very different from where the 488 00:24:08,640 --> 00:24:11,160 Speaker 4: stocks are heading right now. This has been bo Technology. 489 00:24:23,160 --> 00:24:25,359 Speaker 2: Welcome back to Bloomberg Technology and Caroline hid in New 490 00:24:25,440 --> 00:24:26,320 Speaker 2: York and. 491 00:24:26,200 --> 00:24:30,240 Speaker 4: I'm Ed Ludlow in San Francisco. San Francisco's mayor, Daniel Lurie, 492 00:24:30,280 --> 00:24:34,160 Speaker 4: is pledging an economic and tech revival, aiming to restore 493 00:24:34,400 --> 00:24:37,200 Speaker 4: the city's status as a global innovation hub. I sat 494 00:24:37,240 --> 00:24:39,879 Speaker 4: down with the mayor to discuss his growth strategy in 495 00:24:39,960 --> 00:24:40,920 Speaker 4: the face of tariffs. 496 00:24:41,960 --> 00:24:45,199 Speaker 11: First, we're the most beautiful city in the world. Second, 497 00:24:46,040 --> 00:24:49,080 Speaker 11: the horse power is here, the intellectual horsepower is here. 498 00:24:49,119 --> 00:24:53,680 Speaker 11: We have great universities, including UCSF around here, and young 499 00:24:53,720 --> 00:24:54,840 Speaker 11: people want to be in. 500 00:24:56,480 --> 00:24:57,440 Speaker 7: Urban environments. 501 00:24:57,480 --> 00:24:59,200 Speaker 4: They want to be in San Francisco. 502 00:24:59,280 --> 00:25:02,359 Speaker 11: That's been proven truth throughout history, and we're going to 503 00:25:02,400 --> 00:25:06,880 Speaker 11: prove that again. We have great arts and culture institutions. 504 00:25:06,880 --> 00:25:10,040 Speaker 11: We were just named the culinary capital of the country, 505 00:25:10,320 --> 00:25:13,280 Speaker 11: so we have so much to be proud of. And 506 00:25:13,640 --> 00:25:16,639 Speaker 11: we know that workers want to be here. Our CEOs 507 00:25:16,640 --> 00:25:20,560 Speaker 11: who were talking to they know that their employees want 508 00:25:20,600 --> 00:25:23,920 Speaker 11: to be in San Francisco. No offense to my friends 509 00:25:23,960 --> 00:25:28,760 Speaker 11: down in the Peninsula, but people live in San Francisco 510 00:25:28,880 --> 00:25:30,399 Speaker 11: and we want them to work here. And we do 511 00:25:30,480 --> 00:25:33,359 Speaker 11: have to get competitive, but it starts with safe and 512 00:25:33,480 --> 00:25:39,360 Speaker 11: clean streets. Our property crime rates have dropped thirty five percent, 513 00:25:39,720 --> 00:25:42,920 Speaker 11: Our violent crime has dropped fifteen percent. Car break ins 514 00:25:42,920 --> 00:25:46,960 Speaker 11: in February the lowest in twenty two years. This is 515 00:25:47,080 --> 00:25:51,320 Speaker 11: a safe American city and we want everybody coming back 516 00:25:51,359 --> 00:25:54,399 Speaker 11: to work here, to play here, and to live here. 517 00:25:56,400 --> 00:25:59,480 Speaker 4: Mis very how is the White House and is tariffs 518 00:25:59,520 --> 00:26:03,160 Speaker 4: Paulus going to impact your ability to do what you've 519 00:26:03,240 --> 00:26:06,639 Speaker 4: just outlined, bring more of the technology industry to the city. 520 00:26:07,800 --> 00:26:10,960 Speaker 11: Well, listen, we are all and you all are reporting 521 00:26:11,000 --> 00:26:16,080 Speaker 11: on it minute by minute. The uncertainty is impacting everybody 522 00:26:16,160 --> 00:26:18,359 Speaker 11: around the globe, and so we have to plan for 523 00:26:18,400 --> 00:26:21,680 Speaker 11: that here at city Hall. We're working with our department heads. 524 00:26:21,720 --> 00:26:24,359 Speaker 11: We have a big budget deficit. We inherited one of 525 00:26:24,359 --> 00:26:28,600 Speaker 11: the largest deficits in our city's history. So we're working 526 00:26:29,080 --> 00:26:32,760 Speaker 11: day and night to make sure that we tighten our belts, 527 00:26:33,040 --> 00:26:36,680 Speaker 11: we deliver core services to our taxpayers and to our residents, 528 00:26:36,720 --> 00:26:40,240 Speaker 11: making sure that we focus on public safety, focus on 529 00:26:40,320 --> 00:26:43,000 Speaker 11: the behavioral health crisis and the drug crisis that is 530 00:26:43,080 --> 00:26:47,600 Speaker 11: causing people to feel the disorder on our streets. But 531 00:26:47,720 --> 00:26:51,639 Speaker 11: that is all starting to improve. And so we can 532 00:26:51,920 --> 00:26:54,720 Speaker 11: only control what we can control here in San Francisco, 533 00:26:54,760 --> 00:26:58,399 Speaker 11: and that's our fifteen point nine billion dollar budget. We 534 00:26:58,440 --> 00:27:00,960 Speaker 11: have a one point one billion dollar budget deficit. Over 535 00:27:00,960 --> 00:27:04,159 Speaker 11: the next two years, we're going to get that under control. 536 00:27:04,200 --> 00:27:06,919 Speaker 11: We're going to fix our structure or budget deficit, and 537 00:27:07,240 --> 00:27:09,280 Speaker 11: I'm telling you we're then going to be off to 538 00:27:09,359 --> 00:27:10,119 Speaker 11: the races. 539 00:27:10,560 --> 00:27:11,679 Speaker 7: Data bricks knows it. 540 00:27:11,760 --> 00:27:15,359 Speaker 11: They just secured an office space one hundred and fifty 541 00:27:15,400 --> 00:27:19,480 Speaker 11: thousand square feet open AI just open new headquarters by 542 00:27:19,600 --> 00:27:24,399 Speaker 11: Chase Center. We are on the cusp of lift off 543 00:27:24,560 --> 00:27:26,720 Speaker 11: here in San Francisco, and we want everybody to come 544 00:27:26,760 --> 00:27:27,520 Speaker 11: be a part of it. 545 00:27:28,840 --> 00:27:31,399 Speaker 4: So that was my conversation with San Francisco Meytor, Daniel Lurie, 546 00:27:31,400 --> 00:27:34,080 Speaker 4: and Caro. Like the pitch to the technology industry seems 547 00:27:34,080 --> 00:27:37,840 Speaker 4: to be San Francisco is beautiful and it's full of nerds, 548 00:27:38,000 --> 00:27:41,159 Speaker 4: and that's not really a policy platform. But if you 549 00:27:41,160 --> 00:27:43,600 Speaker 4: think about how the history of Silicon Valley's works, right, 550 00:27:43,760 --> 00:27:46,760 Speaker 4: there are many tech people here in the city, and 551 00:27:46,800 --> 00:27:47,760 Speaker 4: what do they do each day? 552 00:27:47,840 --> 00:27:48,000 Speaker 7: Right? 553 00:27:48,040 --> 00:27:49,800 Speaker 4: Where are all the big tech companies that they. 554 00:27:49,680 --> 00:27:50,400 Speaker 7: Go to work at. 555 00:27:50,960 --> 00:27:55,240 Speaker 2: They're not an SF they reverse commute out to the valley. 556 00:27:55,440 --> 00:27:57,760 Speaker 2: But also what I wonder about is when we've got 557 00:27:57,800 --> 00:28:01,280 Speaker 2: an economic quandary coming from the United States, when advertising 558 00:28:01,320 --> 00:28:03,880 Speaker 2: dollars might be pulled back, when we've already got a 559 00:28:03,880 --> 00:28:07,200 Speaker 2: meta for example, that has been laying off people, how 560 00:28:07,200 --> 00:28:12,080 Speaker 2: does that affect in NEEF economy going forward. We'll have 561 00:28:12,160 --> 00:28:13,840 Speaker 2: to debate that a little bit more in terms of 562 00:28:13,880 --> 00:28:15,680 Speaker 2: what's happening over in San Francisco. 563 00:28:15,800 --> 00:28:17,600 Speaker 9: But we also want a little bit more in. 564 00:28:17,520 --> 00:28:21,240 Speaker 2: Context about what the global tech policies look like in 565 00:28:21,240 --> 00:28:24,400 Speaker 2: this current context. That meta has to navigate, that alphabet 566 00:28:24,400 --> 00:28:26,720 Speaker 2: has to navigate, that these SF giants have to navigate. 567 00:28:26,840 --> 00:28:30,080 Speaker 2: Liza Tobins with US Managin director at are not Global, 568 00:28:30,480 --> 00:28:33,360 Speaker 2: and Liza, I'm so interested in just your take right 569 00:28:33,400 --> 00:28:35,560 Speaker 2: now and where we stand in this so called tit 570 00:28:35,640 --> 00:28:38,880 Speaker 2: for tat that today China's leader came out and said, 571 00:28:39,240 --> 00:28:41,800 Speaker 2: it's a joke. We're going to stop raising to meet you. 572 00:28:41,880 --> 00:28:44,760 Speaker 2: But we stand at one hundred more than one one 573 00:28:44,800 --> 00:28:47,560 Speaker 2: hundred and twenty five percent tariff on US goods. The 574 00:28:47,640 --> 00:28:50,400 Speaker 2: US has one hundred and forty five percent tariff on 575 00:28:50,480 --> 00:28:51,360 Speaker 2: Chinese goods. 576 00:28:51,760 --> 00:28:52,720 Speaker 9: Where do we go from here? 577 00:28:54,160 --> 00:28:56,560 Speaker 12: Yeah, So, of course, about a week and a half ago, 578 00:28:56,680 --> 00:28:59,920 Speaker 12: President Trump declared a trade war on the entire world, 579 00:29:00,080 --> 00:29:03,160 Speaker 12: and then over the last couple of days it seems 580 00:29:03,160 --> 00:29:06,640 Speaker 12: to have kind of slipped into an isolate China strategy. 581 00:29:06,840 --> 00:29:10,200 Speaker 12: Clearly the president is torn between his deal making and 582 00:29:10,240 --> 00:29:13,240 Speaker 12: his decoupling instincts. He's hoping for a phone call with 583 00:29:13,360 --> 00:29:16,280 Speaker 12: Chi Jinping. But what we've learned really over the last 584 00:29:16,280 --> 00:29:19,880 Speaker 12: twenty years of US China relations is that US trade 585 00:29:19,920 --> 00:29:23,560 Speaker 12: negotiators are always disappointed with what Paiging brings to the table. 586 00:29:24,000 --> 00:29:27,000 Speaker 12: And I'm seeing things play out this week that remind 587 00:29:27,040 --> 00:29:28,680 Speaker 12: me of when I was in the White House in 588 00:29:28,720 --> 00:29:32,040 Speaker 12: twenty twenty, and that, of course was when President Trump 589 00:29:32,080 --> 00:29:34,960 Speaker 12: got his Phase one trade deal with the Chinese, and 590 00:29:35,000 --> 00:29:38,720 Speaker 12: then a couple months later he started getting seriously disappointed 591 00:29:38,760 --> 00:29:42,320 Speaker 12: and blaming Sheijinping for COVID, which of course tanked the 592 00:29:42,360 --> 00:29:46,560 Speaker 12: global economy and he felt ruined his electoral prospects, and 593 00:29:46,640 --> 00:29:49,160 Speaker 12: so in some of the President's comments just a few 594 00:29:49,200 --> 00:29:52,200 Speaker 12: days ago in a speech, he's talking about she He's 595 00:29:52,240 --> 00:29:54,840 Speaker 12: hoping for a phone call, but he's referring back to 596 00:29:54,880 --> 00:29:58,040 Speaker 12: COVID and saying, you know, I like Sheijinping, we get 597 00:29:58,080 --> 00:29:59,840 Speaker 12: along great, but COVID. 598 00:29:59,560 --> 00:30:01,400 Speaker 9: That was a bridge too far. 599 00:30:01,560 --> 00:30:03,880 Speaker 12: That's what the president's saying. So he seems to be 600 00:30:04,320 --> 00:30:08,680 Speaker 12: remembering the disappointment and the anger from twenty twenty, and 601 00:30:09,520 --> 00:30:12,800 Speaker 12: he seems to be shifting from deal making to decoupling. 602 00:30:13,600 --> 00:30:16,360 Speaker 2: We go to you because of your depth of expertise, 603 00:30:16,400 --> 00:30:18,600 Speaker 2: when you've worked with the CIA, when you've been in 604 00:30:18,640 --> 00:30:22,080 Speaker 2: the US Indo Pacific Command analysis for them as well, Liza, 605 00:30:22,160 --> 00:30:24,600 Speaker 2: not to mention what you've done over at the when 606 00:30:24,600 --> 00:30:28,720 Speaker 2: you're sc CP SCSP, I should call it, of course, 607 00:30:29,000 --> 00:30:32,040 Speaker 2: and I'm interested, Lisa therefore on where you go from, 608 00:30:32,360 --> 00:30:34,960 Speaker 2: who has the upper hand, where the TikTok's involved in 609 00:30:35,000 --> 00:30:37,760 Speaker 2: this negotiation. Just take us forward as to what plays 610 00:30:37,760 --> 00:30:40,240 Speaker 2: out next. If we are seeing a US president getting 611 00:30:40,280 --> 00:30:45,160 Speaker 2: more and more triggered by what happened in twenty twenty, right. 612 00:30:45,120 --> 00:30:49,000 Speaker 12: So I think we could potentially see some kind of 613 00:30:49,000 --> 00:30:52,040 Speaker 12: a deal. Clearly, the President still would like a deal, 614 00:30:52,080 --> 00:30:58,320 Speaker 12: perhaps involving some tariff concessions, maybe americanizing TikTok, although he's 615 00:30:58,360 --> 00:31:02,160 Speaker 12: already conceded that aging will retain the algorithm, which is 616 00:31:02,240 --> 00:31:06,600 Speaker 12: really the brain that controls TikTok and controls Americans media diet. 617 00:31:06,640 --> 00:31:08,200 Speaker 12: So we may or may not see that. But I 618 00:31:08,240 --> 00:31:11,680 Speaker 12: want to remind your audience not to over index on 619 00:31:11,760 --> 00:31:15,240 Speaker 12: the strategic importance of a deal, because we've always been 620 00:31:15,240 --> 00:31:19,440 Speaker 12: disappointed by how China actually implements that deal. So I 621 00:31:19,480 --> 00:31:22,000 Speaker 12: think if folks are looking for some kind of grand 622 00:31:22,040 --> 00:31:28,040 Speaker 12: bargain that really makes some goes beyond symbolism and short 623 00:31:28,120 --> 00:31:33,320 Speaker 12: term measures and really addresses the fundamental imbalances of Chinese economy, 624 00:31:33,320 --> 00:31:36,960 Speaker 12: this massive trade surplus, unfair trade practices. They're going to 625 00:31:36,960 --> 00:31:39,360 Speaker 12: be disappointed by that. So markets will react and go 626 00:31:39,440 --> 00:31:42,640 Speaker 12: up and down on news or rumors of a potential deal, 627 00:31:42,920 --> 00:31:45,240 Speaker 12: But a true grand bargain is really off the table. 628 00:31:45,240 --> 00:31:48,920 Speaker 4: I think, Liza, I'd like to hold you to account 629 00:31:48,920 --> 00:31:51,160 Speaker 4: on two points that you've made, or at least debate them. 630 00:31:51,680 --> 00:31:55,520 Speaker 4: One isolate China as an accidental strategy. And then the 631 00:31:55,640 --> 00:31:59,000 Speaker 4: data that you just flag the deficit between the United 632 00:31:59,000 --> 00:32:01,720 Speaker 4: States and China. So this is the ECTR function on 633 00:32:01,760 --> 00:32:05,280 Speaker 4: the Bloomberg terminal. It's twenty twenty three data showing the 634 00:32:05,280 --> 00:32:07,680 Speaker 4: deficit with China two hundred and sixty billion dollars. But 635 00:32:07,720 --> 00:32:10,120 Speaker 4: I think I'm right in saying prelim data showed the 636 00:32:10,160 --> 00:32:15,640 Speaker 4: deficit growing in twenty twenty four. Materially, when we think 637 00:32:15,680 --> 00:32:18,400 Speaker 4: about technology, what we're talking about is a country that 638 00:32:18,480 --> 00:32:22,640 Speaker 4: dominates the manufacturing of most of the world's consumer electronics 639 00:32:22,680 --> 00:32:26,200 Speaker 4: and other things. So forget numbers and tariffs and markets 640 00:32:26,200 --> 00:32:30,080 Speaker 4: and trade. Do you see the White House ever resulting 641 00:32:30,560 --> 00:32:33,600 Speaker 4: this policy in more of that stuff happening in America. 642 00:32:35,440 --> 00:32:38,640 Speaker 12: The President certainly wants to, and he and his advisors 643 00:32:38,640 --> 00:32:42,880 Speaker 12: that are constantly talking about reindustrialization. I mean, the problem 644 00:32:43,040 --> 00:32:46,560 Speaker 12: is the devils in the details here, and it does 645 00:32:46,720 --> 00:32:51,360 Speaker 12: it's unclear if President Trump really understands the details and 646 00:32:50,920 --> 00:32:55,080 Speaker 12: the extreme intricacies of these supply chains and what it 647 00:32:55,120 --> 00:32:59,560 Speaker 12: actually takes to reindustrialize. And of course there's big structural 648 00:32:59,640 --> 00:33:02,320 Speaker 12: challenge is like do we have the workforce for this. 649 00:33:03,120 --> 00:33:07,760 Speaker 12: The administration talks about manufacturing jobs coming back. Well, that's great, 650 00:33:07,800 --> 00:33:11,760 Speaker 12: but actually we have a shortage of skilled manufacturing workforce, 651 00:33:11,800 --> 00:33:15,800 Speaker 12: and advanced manufacturing is now a knowledge industry. This is 652 00:33:15,840 --> 00:33:19,400 Speaker 12: a highly skilled profession. It's more like software coding and 653 00:33:19,440 --> 00:33:23,040 Speaker 12: applying AI to the factory floor. And it's not yet 654 00:33:23,040 --> 00:33:27,000 Speaker 12: clear to me if that kind of advanced manufacturing is 655 00:33:27,040 --> 00:33:30,520 Speaker 12: front and center on the administration's agenda. 656 00:33:30,560 --> 00:33:31,840 Speaker 9: It's very much right. 657 00:33:31,640 --> 00:33:36,120 Speaker 12: Now a teriffs first, tax cuts, the regulation and energy 658 00:33:36,160 --> 00:33:38,800 Speaker 12: and those may be a great start, but they also 659 00:33:38,840 --> 00:33:41,800 Speaker 12: need to be kind of leaning into these more structural. 660 00:33:41,240 --> 00:33:43,840 Speaker 2: Issues suddenly if they want to make iPhones in the 661 00:33:43,880 --> 00:33:48,280 Speaker 2: United States. Pizeitoven, managing director of Ghano Global, was great 662 00:33:48,280 --> 00:33:50,600 Speaker 2: to have you join us. Thank you now Federal is 663 00:33:50,600 --> 00:33:53,120 Speaker 2: a bank of New York President John Williams. He expects 664 00:33:53,120 --> 00:33:57,160 Speaker 2: slow economic growth, high unemployment, and a pickup in inflation, 665 00:33:57,320 --> 00:33:59,120 Speaker 2: all of this due to the US tarris policy and 666 00:33:59,160 --> 00:34:01,920 Speaker 2: reduced immigration. Take listen to what he had to say 667 00:34:02,000 --> 00:34:02,640 Speaker 2: just moments ago. 668 00:34:03,800 --> 00:34:08,760 Speaker 3: Well uncertainly about the economic outlook reflects many factors. Effects 669 00:34:08,760 --> 00:34:11,600 Speaker 3: of tariffs and trade policy and the economy are certainly 670 00:34:11,680 --> 00:34:14,440 Speaker 3: at the top of the list. For example, my business 671 00:34:14,440 --> 00:34:17,719 Speaker 3: in financial market contacts highlight that this has made it 672 00:34:17,760 --> 00:34:40,120 Speaker 3: more difficult to plan for investments and for hiring. 673 00:34:43,480 --> 00:34:46,480 Speaker 4: Let's get right back to financial markets. It's Friday, at 674 00:34:46,480 --> 00:34:48,400 Speaker 4: the end of a long week. Basically flat on the 675 00:34:48,440 --> 00:34:50,839 Speaker 4: Nasdaq one hundred, but up more than five percent over 676 00:34:50,880 --> 00:34:53,640 Speaker 4: the course of the week. Basically flat on the Philadelphia 677 00:34:53,680 --> 00:34:56,839 Speaker 4: Semiconductor Index, down to tens percent, but up more than 678 00:34:56,880 --> 00:34:58,839 Speaker 4: seven percent on the course of the week. And Cara, 679 00:34:58,880 --> 00:35:01,200 Speaker 4: if you allow me to there was a really important 680 00:35:01,200 --> 00:35:03,920 Speaker 4: headline overnight that I think our audience needs to understand, 681 00:35:04,280 --> 00:35:09,480 Speaker 4: and it came from China's semiconductor industry body, basically citing 682 00:35:09,560 --> 00:35:13,200 Speaker 4: customs regulators that how are they going to define the 683 00:35:13,239 --> 00:35:17,080 Speaker 4: point of origin of a semiconductor right think about global 684 00:35:17,080 --> 00:35:19,640 Speaker 4: supply chains. And in the market right now you see 685 00:35:19,680 --> 00:35:22,759 Speaker 4: names like in video higher and Vidia doesn't manufacture its 686 00:35:22,800 --> 00:35:25,960 Speaker 4: own chips, names like Intel and Texas instruments that do 687 00:35:26,320 --> 00:35:29,640 Speaker 4: significantly lower. Here's what they said. The point of origin 688 00:35:29,760 --> 00:35:32,160 Speaker 4: for a chip in deciding whether to apply tariffs or 689 00:35:32,160 --> 00:35:34,719 Speaker 4: not will be the point it is taped out. And 690 00:35:34,760 --> 00:35:37,120 Speaker 4: what that means is when an American company, for example, 691 00:35:37,160 --> 00:35:40,040 Speaker 4: is done designing its chip in San Diego or here 692 00:35:40,040 --> 00:35:42,520 Speaker 4: in the Bay Area, it then needs to send the 693 00:35:42,600 --> 00:35:47,680 Speaker 4: designs to a contract manufacturer. We're talking TSMC and Korean 694 00:35:47,760 --> 00:35:51,880 Speaker 4: names like Samsung, but that happens locally, and so they're saying, 695 00:35:52,000 --> 00:35:54,839 Speaker 4: that's how we decide where your chip comes from. You 696 00:35:54,880 --> 00:35:56,560 Speaker 4: tell me the big story that we've learned in the 697 00:35:56,640 --> 00:35:59,200 Speaker 4: last two years about all these American chip makers. What 698 00:35:59,280 --> 00:36:00,200 Speaker 4: are they actually not? 699 00:36:01,080 --> 00:36:04,360 Speaker 2: Well, they're not makers of chips, but some of them 700 00:36:04,400 --> 00:36:05,880 Speaker 2: are trying to be. Some of them trying to be 701 00:36:05,920 --> 00:36:08,800 Speaker 2: contract makers of chips. Intel, for one, which is actually 702 00:36:08,880 --> 00:36:12,000 Speaker 2: expanding its presence of making chips in the United States. 703 00:36:12,000 --> 00:36:13,439 Speaker 9: What does that mean in terms of business model? 704 00:36:13,440 --> 00:36:15,120 Speaker 2: You've just got to take out China from the equation 705 00:36:15,440 --> 00:36:18,759 Speaker 2: and on the flip side. Of course, domestic chip makers 706 00:36:18,760 --> 00:36:21,760 Speaker 2: in China rallied hard. You saw the CSI three hundred 707 00:36:21,800 --> 00:36:23,880 Speaker 2: index up more than thirty percent on the day. This 708 00:36:24,000 --> 00:36:27,560 Speaker 2: had real tailwinds for Chinese local players and of cause 709 00:36:27,600 --> 00:36:29,320 Speaker 2: pressure on some of the local makers here in the 710 00:36:29,400 --> 00:36:29,879 Speaker 2: United States. 711 00:36:29,920 --> 00:36:32,279 Speaker 4: Said yeah, And the one thing I would say is 712 00:36:32,320 --> 00:36:35,160 Speaker 4: that it all comes back to the end market. What 713 00:36:35,239 --> 00:36:39,000 Speaker 4: does China do. It makes most electronics high end or 714 00:36:39,080 --> 00:36:41,840 Speaker 4: low end, And so that's why I've tracking this so closely. 715 00:36:41,960 --> 00:36:44,640 Speaker 4: But you're exactly right. But in some of the names 716 00:36:44,640 --> 00:36:47,360 Speaker 4: you've just mentioned, analysts are paying attention for other reasons. 717 00:36:47,440 --> 00:36:48,000 Speaker 9: They certainly are. 718 00:36:48,080 --> 00:36:50,359 Speaker 2: Let's get to one of those analysts calls because likes 719 00:36:50,400 --> 00:36:53,160 Speaker 2: of Aanamon Devices or Texas Instruments, as you say, pressure today. 720 00:36:53,160 --> 00:36:56,040 Speaker 2: But City named actually those two companies, and it's top 721 00:36:56,040 --> 00:36:59,520 Speaker 2: semiconductive picks amid tar of pressures and recession fears. Like 722 00:36:59,520 --> 00:37:03,399 Speaker 2: City manager director and semiconductor analyst Chris Stanley writing, high 723 00:37:03,480 --> 00:37:07,440 Speaker 2: end analog companies such as ADI and TXN have outperformed 724 00:37:07,640 --> 00:37:10,440 Speaker 2: during downturns. We would expect the same to occur in 725 00:37:10,480 --> 00:37:14,240 Speaker 2: a recession, with ADI performing best given higher margins. Nimas 726 00:37:14,320 --> 00:37:16,480 Speaker 2: rym Vstella can can break down some of the moves 727 00:37:16,680 --> 00:37:19,440 Speaker 2: on Semi got a fair few downgrades in terms of 728 00:37:19,440 --> 00:37:22,040 Speaker 2: price targets today as well on Semi meant to feel 729 00:37:22,040 --> 00:37:23,840 Speaker 2: more of headwind versus some of these players. 730 00:37:23,880 --> 00:37:27,280 Speaker 13: According to City, absolutely, I think people are still really 731 00:37:27,320 --> 00:37:29,640 Speaker 13: struggling to kind of figure out what this environment is 732 00:37:29,640 --> 00:37:31,719 Speaker 13: going to be like for different chip makers, depending on 733 00:37:31,719 --> 00:37:35,759 Speaker 13: their in market, depending on their manufacturing systems, their supply chains. 734 00:37:35,800 --> 00:37:38,200 Speaker 13: It's all very uncertain, very up in the air at 735 00:37:38,200 --> 00:37:41,480 Speaker 13: the moment. So beyond the naming TI on one of 736 00:37:41,520 --> 00:37:44,160 Speaker 13: its top picks, City also said it was taken out 737 00:37:44,160 --> 00:37:47,440 Speaker 13: the lawnmower. Those are exact words, cutting estimates by twenty 738 00:37:47,480 --> 00:37:50,200 Speaker 13: percent on average across the board for chip makers. That 739 00:37:50,320 --> 00:37:53,440 Speaker 13: just speaks to how much uncertainty there is when it 740 00:37:53,480 --> 00:37:55,439 Speaker 13: comes to this sector at this point in time. 741 00:37:56,600 --> 00:37:59,960 Speaker 4: They the firm City had this estimate a while ago 742 00:38:00,239 --> 00:38:03,319 Speaker 4: that the socks the index would drop twenty percent if 743 00:38:03,320 --> 00:38:05,040 Speaker 4: there were to be a recession, and I think I'm 744 00:38:05,080 --> 00:38:08,560 Speaker 4: right in saying that they now assume a recession is 745 00:38:08,600 --> 00:38:11,000 Speaker 4: a firm there's a lot happening in the market. You 746 00:38:11,040 --> 00:38:15,720 Speaker 4: also wrote about the takes out point of origin story 747 00:38:15,760 --> 00:38:18,600 Speaker 4: yourself this morning, just go back to explain some of 748 00:38:18,600 --> 00:38:20,560 Speaker 4: the moves of the market in the here and now. 749 00:38:21,239 --> 00:38:25,799 Speaker 13: Yeah, so absolutely, like you were saying before, companies like TI, Intel, 750 00:38:25,960 --> 00:38:30,520 Speaker 13: Global Foundries, Microchip, all these have sort of domestic manufacturing 751 00:38:30,560 --> 00:38:33,680 Speaker 13: plants for their products, and these are the stocks that 752 00:38:33,719 --> 00:38:36,800 Speaker 13: are really falling today. Other ones that do most of 753 00:38:36,840 --> 00:38:42,040 Speaker 13: their manufacturing are Broad Taiwan, Simi, Vidia, AMD, Qualcom, BROCM 754 00:38:42,120 --> 00:38:44,640 Speaker 13: all those names. They're probably higher in the morning. It's 755 00:38:44,680 --> 00:38:47,280 Speaker 13: obviously a very volatile situation. There's a lot of cross 756 00:38:47,280 --> 00:38:49,760 Speaker 13: currents going on right now, but certainly we are seeing 757 00:38:49,960 --> 00:38:54,880 Speaker 13: Texas instruments in particular weaker today, Intel particularly weaker today, 758 00:38:55,000 --> 00:38:57,560 Speaker 13: whereas companies like Nvidia are higher. 759 00:38:58,200 --> 00:39:00,319 Speaker 2: Let's go to Nvidia for a moment, because for an 760 00:39:00,320 --> 00:39:04,400 Speaker 2: analyst over at City has actually been downgrading in video 761 00:39:04,520 --> 00:39:08,719 Speaker 2: as well. Their key concern is that these hyperscalers, meta 762 00:39:08,760 --> 00:39:11,560 Speaker 2: alphabet you name them, are going to actually start to 763 00:39:11,719 --> 00:39:14,360 Speaker 2: curtail they're spending on AI data centers. 764 00:39:14,640 --> 00:39:17,120 Speaker 9: How much of an overhang is that for names. 765 00:39:16,880 --> 00:39:19,279 Speaker 2: Like whether you're a fablus or fab kind of a 766 00:39:19,320 --> 00:39:19,840 Speaker 2: chip maker. 767 00:39:20,840 --> 00:39:22,759 Speaker 13: Well, for Nvidia in particular, I had to go and 768 00:39:22,800 --> 00:39:24,640 Speaker 13: look but I think forty percent or so of their 769 00:39:24,640 --> 00:39:28,680 Speaker 13: revenue comes from just four companies, which is Microsoft, Meta, Alphabet, 770 00:39:28,719 --> 00:39:31,520 Speaker 13: and Amazon. So to the extent those companies pull back, 771 00:39:31,560 --> 00:39:33,680 Speaker 13: and I'll say Alphabet a couple of days ago it 772 00:39:33,760 --> 00:39:36,160 Speaker 13: had a bigger cloud conference and it did affirm its 773 00:39:36,160 --> 00:39:39,600 Speaker 13: CAPEX plans. Microsoft, you know, it affirmed its own plans 774 00:39:39,600 --> 00:39:41,919 Speaker 13: earlier this year. So right now, it seems like maybe 775 00:39:41,920 --> 00:39:43,839 Speaker 13: for the next twelve months, all those spending plants are 776 00:39:43,880 --> 00:39:46,960 Speaker 13: pretty intact. But if we get to twelve months from now, 777 00:39:47,000 --> 00:39:49,400 Speaker 13: and maybe especially if we're not seeing a huge ROI 778 00:39:49,480 --> 00:39:52,360 Speaker 13: on all this AI spending, especially if the cost picture 779 00:39:52,400 --> 00:39:55,560 Speaker 13: has changed dramatically due to tariffs, if the whole picture 780 00:39:55,560 --> 00:39:58,680 Speaker 13: has just changed because of weaker economic growth, all these 781 00:39:58,680 --> 00:40:01,160 Speaker 13: other kind of factors, it would not be super surprising 782 00:40:01,280 --> 00:40:04,600 Speaker 13: under those circumstances if these companies started pulling back on 783 00:40:04,640 --> 00:40:08,040 Speaker 13: their CAPEX, especially as it retains to their AI infrastructure, 784 00:40:08,280 --> 00:40:11,480 Speaker 13: which is at this point a lot of Nvidia products, 785 00:40:11,520 --> 00:40:13,600 Speaker 13: and what that means for them in terms of their growth, 786 00:40:13,600 --> 00:40:17,319 Speaker 13: in terms of their profitability. While just given its customer concentration, 787 00:40:17,400 --> 00:40:19,880 Speaker 13: that would be a pretty dramatic hit a company like 788 00:40:19,920 --> 00:40:21,040 Speaker 13: it in video. 789 00:40:21,160 --> 00:40:24,359 Speaker 4: Blimbo's Ryan vlastatica terrific, Thank you very much. 790 00:40:32,719 --> 00:40:36,120 Speaker 14: A single shipyard in China now produces more ships every 791 00:40:36,200 --> 00:40:40,279 Speaker 14: year than all of the American shipyards combined. Think of that, 792 00:40:40,880 --> 00:40:43,160 Speaker 14: and it was a business that we used to dominate. 793 00:40:44,040 --> 00:40:44,720 Speaker 9: President Trump. 794 00:40:44,719 --> 00:40:47,360 Speaker 2: There now one startup looking to manufacture ships in the 795 00:40:47,400 --> 00:40:48,040 Speaker 2: United States. 796 00:40:48,160 --> 00:40:50,520 Speaker 9: It's blue Water Autonomy, preparing. 797 00:40:50,160 --> 00:40:52,960 Speaker 2: To build large vessels able to travel between San Francisco 798 00:40:53,040 --> 00:40:56,880 Speaker 2: and Hawaii without a captain or a crew. Rdan Hamilton 799 00:40:57,000 --> 00:41:00,839 Speaker 2: as the CEO co founder of blue Water. Rather, you're 800 00:41:00,840 --> 00:41:03,120 Speaker 2: coming out of stell fourteen million dollars in the bank. 801 00:41:03,239 --> 00:41:07,040 Speaker 2: You've got vcs that batch your prior really successful companies. 802 00:41:07,080 --> 00:41:11,040 Speaker 2: You were in warehouse automation prior to this. How much 803 00:41:11,160 --> 00:41:16,040 Speaker 2: is the time now to be making automated ships? Suddenly 804 00:41:16,239 --> 00:41:18,600 Speaker 2: far more prevalent when we've got us China tensions. 805 00:41:18,800 --> 00:41:21,600 Speaker 15: The time is definitely now. If we hear the current administration, 806 00:41:21,640 --> 00:41:25,480 Speaker 15: they're talking about shipbuilding, shipbuilding and shipbuilding, and we're designing 807 00:41:25,480 --> 00:41:28,160 Speaker 15: and building autonomous ships. And when you make them autonomous, 808 00:41:28,400 --> 00:41:32,400 Speaker 15: you can remove the bridge, the birthing, the galley, the showers, 809 00:41:32,719 --> 00:41:34,520 Speaker 15: so you can make them a lot smaller. And because 810 00:41:34,560 --> 00:41:36,239 Speaker 15: they're smaller, you don't have to build them at the 811 00:41:36,239 --> 00:41:39,080 Speaker 15: big navy shipyards. So we should continue to build the 812 00:41:39,120 --> 00:41:42,400 Speaker 15: big warships, the guided missile destroyers, the aircraft carriers, the 813 00:41:42,440 --> 00:41:45,799 Speaker 15: submarines as quickly as possible. But our ship can be 814 00:41:45,840 --> 00:41:48,960 Speaker 15: built at all these mid tier shipyards that have capacity today. 815 00:41:49,480 --> 00:41:52,360 Speaker 2: Why is now the right time from a technology perspective 816 00:41:52,400 --> 00:41:55,279 Speaker 2: as well, what is going into making automation far more 817 00:41:55,320 --> 00:41:58,799 Speaker 2: easy or certainly not easy, but far more able to 818 00:41:59,000 --> 00:41:59,640 Speaker 2: enact ry now? 819 00:42:00,000 --> 00:42:01,160 Speaker 6: Well, this is a hard problem. 820 00:42:01,320 --> 00:42:03,359 Speaker 15: This is not easy because for designing ships that can 821 00:42:03,400 --> 00:42:05,880 Speaker 15: operate across the open ocean, and the last thing our 822 00:42:05,920 --> 00:42:07,719 Speaker 15: Navy needs is for these ships to be dead in 823 00:42:07,719 --> 00:42:09,800 Speaker 15: the water of the mill the ocean, and the ocean 824 00:42:09,880 --> 00:42:13,000 Speaker 15: is extreme. You're thinking about extreme temperatures and salt water. 825 00:42:13,239 --> 00:42:15,840 Speaker 15: In fact, ships get hit by lightning, and so we 826 00:42:15,880 --> 00:42:18,960 Speaker 15: need to build a very It happens as we did 827 00:42:19,000 --> 00:42:20,960 Speaker 15: research for this and we talked to the chief engineers 828 00:42:21,280 --> 00:42:23,840 Speaker 15: on some of the sort of workboats that operate around. 829 00:42:23,640 --> 00:42:24,200 Speaker 6: The United States. 830 00:42:24,239 --> 00:42:26,080 Speaker 15: They said, yeah, last week my ship got hit by 831 00:42:26,160 --> 00:42:29,480 Speaker 15: lightning and a fried all the electronics. And so there's 832 00:42:29,600 --> 00:42:32,200 Speaker 15: a ton of challenges to do this. But we feel 833 00:42:32,239 --> 00:42:34,080 Speaker 15: we have the team to do this because we've been 834 00:42:34,120 --> 00:42:37,160 Speaker 15: at some of the most successful robotic companies in the 835 00:42:37,239 --> 00:42:39,880 Speaker 15: United States, and two of my co founders include myself. 836 00:42:40,120 --> 00:42:41,480 Speaker 15: We were also in the Navy. 837 00:42:43,000 --> 00:42:46,800 Speaker 4: Ryland. The big picture is to modernize the maritime industry, 838 00:42:46,840 --> 00:42:50,480 Speaker 4: but this is a Navy application. As you just point out, 839 00:42:50,920 --> 00:42:55,919 Speaker 4: American dynamism, this big emphasis on the private sector's relationship 840 00:42:55,920 --> 00:42:59,040 Speaker 4: with the military industrial complex. What is it you actually 841 00:42:59,040 --> 00:43:02,279 Speaker 4: want the president to do to allow for you to 842 00:43:02,440 --> 00:43:03,560 Speaker 4: make this a success. 843 00:43:04,440 --> 00:43:06,440 Speaker 15: So we want to move fast, and we'll move as 844 00:43:06,480 --> 00:43:08,560 Speaker 15: fast as the Navy wants us to move. And so 845 00:43:08,640 --> 00:43:10,960 Speaker 15: we definitely want the president to continue to focus on 846 00:43:11,080 --> 00:43:15,400 Speaker 15: shipbuilding and innovation, especially around autonomous systems. And there are autonomous 847 00:43:15,320 --> 00:43:17,240 Speaker 15: systems that are in the air, that are on the surface, 848 00:43:17,280 --> 00:43:20,480 Speaker 15: and that are underwater. Our focus is on these autonomous 849 00:43:20,480 --> 00:43:23,080 Speaker 15: ships that can operate on the surface of the water 850 00:43:23,200 --> 00:43:25,440 Speaker 15: and have high endurance and range, the range that you 851 00:43:25,480 --> 00:43:26,640 Speaker 15: need for the Pacific Ocean. 852 00:43:27,880 --> 00:43:32,480 Speaker 4: Anderill picked Ohio for its skilled labor and for its 853 00:43:32,600 --> 00:43:36,520 Speaker 4: history and aviation. For example, where is your Ohio? Where 854 00:43:36,520 --> 00:43:38,120 Speaker 4: do you think you need to build these ships? 855 00:43:38,840 --> 00:43:40,719 Speaker 15: So we'll have more to announce later this year. But 856 00:43:40,760 --> 00:43:43,600 Speaker 15: we've definitely been looking for the perfect place to go 857 00:43:43,600 --> 00:43:45,359 Speaker 15: build these ships, and there are a lot of really 858 00:43:45,360 --> 00:43:47,400 Speaker 15: good options, whether it's on the East coast or the 859 00:43:47,400 --> 00:43:49,400 Speaker 15: West coast or sort of in the Gulf, and so 860 00:43:49,480 --> 00:43:51,000 Speaker 15: we'll make an announcement later this year. 861 00:43:51,360 --> 00:43:53,799 Speaker 2: You were early leader in Amazon Robotics. When you are 862 00:43:53,800 --> 00:43:58,120 Speaker 2: building six river systems. How good is US at manufacturing? Now? 863 00:43:58,160 --> 00:43:59,880 Speaker 9: Can we bring back what we want to bring that? 864 00:44:00,320 --> 00:44:03,319 Speaker 15: Yeah, so the US is actually really good at advanced manufacturing. 865 00:44:03,680 --> 00:44:06,520 Speaker 15: So early in my career I was at Amazon Robotics 866 00:44:06,520 --> 00:44:08,160 Speaker 15: when there are a couple thousand robots. 867 00:44:07,840 --> 00:44:08,239 Speaker 6: In the field. 868 00:44:08,600 --> 00:44:12,000 Speaker 15: They're now over a million robots in Amazon warehouses throughout 869 00:44:12,040 --> 00:44:14,600 Speaker 15: the world. That is amazing what that company has done 870 00:44:14,640 --> 00:44:16,840 Speaker 15: over the last ten years. So when it comes to 871 00:44:16,880 --> 00:44:18,960 Speaker 15: complex systems where you need to take sort of commercial 872 00:44:18,960 --> 00:44:21,200 Speaker 15: off the shelf components and put them together and then 873 00:44:21,239 --> 00:44:23,560 Speaker 15: write the software on top, we're amazing at that. 874 00:44:25,560 --> 00:44:28,520 Speaker 4: Rylan Hamilinson, CEO, co founder of blue Water Autonomy, you 875 00:44:28,600 --> 00:44:32,120 Speaker 4: have to come back when you announce the location rights. 876 00:44:32,200 --> 00:44:33,960 Speaker 4: That's how it works. That does it for this distion 877 00:44:34,000 --> 00:44:37,720 Speaker 4: of Bloomberg Technology. What a week? This is what markets 878 00:44:37,760 --> 00:44:39,440 Speaker 4: look like Caroline. I mean, it's kind of odd in 879 00:44:39,440 --> 00:44:41,600 Speaker 4: a way to give a snapshot of a session in 880 00:44:41,640 --> 00:44:44,640 Speaker 4: the moment and now's that one hundred higher by modestly 881 00:44:44,880 --> 00:44:48,439 Speaker 4: right pressure on US listed shares of Chinese names. Take 882 00:44:48,480 --> 00:44:49,440 Speaker 4: it away, what are you seeing. 883 00:44:49,520 --> 00:44:51,760 Speaker 2: What's extraordinary is we had a week where we're actually 884 00:44:51,760 --> 00:44:55,880 Speaker 2: more than five percent higher, but what a volatile five days. 885 00:44:56,120 --> 00:44:58,560 Speaker 2: The bond market has seen extraordinary moves, and then over 886 00:44:58,560 --> 00:45:00,960 Speaker 2: the course of the month that now's back, it's lower ed. 887 00:45:03,480 --> 00:45:05,440 Speaker 4: Happy weekend everyone, This is Bloomberg. 888 00:45:08,120 --> 00:45:08,160 Speaker 6: H