1 00:00:00,960 --> 00:00:05,199 Speaker 1: From the heart of where innovation, money and power collide 2 00:00:05,480 --> 00:00:10,760 Speaker 1: in Silicon Valley and beyond. This is Bloomberg Technology with 3 00:00:10,920 --> 00:00:12,520 Speaker 1: Caroline Hyde and Ed. 4 00:00:12,520 --> 00:00:28,080 Speaker 2: Ludlow live from New York. 5 00:00:28,120 --> 00:00:30,800 Speaker 3: This is Blomberg Technology, and we get straight to our 6 00:00:30,840 --> 00:00:33,880 Speaker 3: top story. President Trump taking aim and Apple yet again, 7 00:00:34,360 --> 00:00:37,400 Speaker 3: threatening a twenty five percent tariff on the iPhone maker 8 00:00:37,680 --> 00:00:41,200 Speaker 3: if they don't produce the devices in the United States 9 00:00:41,240 --> 00:00:44,160 Speaker 3: for US consumers. Shares as you see, down yet another 10 00:00:44,200 --> 00:00:47,360 Speaker 3: two point seven percent. We're dropping below that three trillion 11 00:00:47,400 --> 00:00:50,919 Speaker 3: dollar market capitalization, and we're bringing the analysis Blombergs. Mike 12 00:00:50,960 --> 00:00:53,800 Speaker 3: Shepherd joins us we have seen Tim Cook in the 13 00:00:53,840 --> 00:00:56,720 Speaker 3: line of fire from Donald Trump for at least the week. 14 00:00:56,840 --> 00:01:00,440 Speaker 4: Now, how does he respond, Mike, This is. 15 00:01:00,400 --> 00:01:04,160 Speaker 5: A tough one for him, Caro, because the President's dander 16 00:01:04,280 --> 00:01:07,480 Speaker 5: really is up here. Last week he singled him out 17 00:01:07,600 --> 00:01:11,160 Speaker 5: during an appearance with reporters while he was traveling to 18 00:01:11,200 --> 00:01:14,679 Speaker 5: the Middle East, and he noted Cook's absence during a 19 00:01:14,920 --> 00:01:18,679 Speaker 5: forum with other CEOs in Riab where he called out 20 00:01:18,800 --> 00:01:21,240 Speaker 5: Tim Cook. Tim Cook, do I see? And he said, 21 00:01:21,280 --> 00:01:23,840 Speaker 5: I don't think Tim is here, And then later he 22 00:01:24,160 --> 00:01:28,080 Speaker 5: pointed to Apple's intention to move some of its China 23 00:01:28,080 --> 00:01:31,840 Speaker 5: based iPhone production for the US to India to avert 24 00:01:31,959 --> 00:01:35,319 Speaker 5: what would be higher costs related to tariffs on goods 25 00:01:35,319 --> 00:01:38,800 Speaker 5: coming from China. Trump wants to see something different, though. 26 00:01:38,800 --> 00:01:40,920 Speaker 5: He wants that production not to go to India but 27 00:01:41,040 --> 00:01:43,440 Speaker 5: to the US. He would like to see domestic production 28 00:01:43,600 --> 00:01:46,880 Speaker 5: move here. And whatever Tim Cook has been promising the President, 29 00:01:47,080 --> 00:01:49,280 Speaker 5: with whom in the past he's had a good relationship, 30 00:01:49,560 --> 00:01:53,000 Speaker 5: clearly wasn't enough. And remember Tim Cook did meet with 31 00:01:53,040 --> 00:01:55,480 Speaker 5: Trump at mar A Lago after the election, and he 32 00:01:55,560 --> 00:01:58,280 Speaker 5: attended the inauguration too. He had a visible spot along 33 00:01:58,320 --> 00:02:01,920 Speaker 5: with other tech leaders in the capital rot Tuanda on 34 00:02:02,000 --> 00:02:03,400 Speaker 5: that day, January twentieth. 35 00:02:03,680 --> 00:02:06,280 Speaker 4: And we're not seeing for Tim. 36 00:02:06,080 --> 00:02:08,680 Speaker 5: Cook the results that he might have hoped for in 37 00:02:08,720 --> 00:02:10,160 Speaker 5: this relationship with the President. 38 00:02:10,320 --> 00:02:13,160 Speaker 3: The signals have been their Mike, as you mentioned, the 39 00:02:13,280 --> 00:02:17,000 Speaker 3: little problem with Tim Cook that Trump spoke of last 40 00:02:17,040 --> 00:02:20,080 Speaker 3: week being that of shifting manufacturing from China to India, 41 00:02:20,320 --> 00:02:22,600 Speaker 3: and then the ft with a report showing that that 42 00:02:22,680 --> 00:02:26,160 Speaker 3: India manufacturing focus had been being doubled down on in 43 00:02:26,200 --> 00:02:30,040 Speaker 3: the last week. More broadly, to speak to the relationship 44 00:02:30,080 --> 00:02:32,800 Speaker 3: therefore that we see of Tim Cook with the US 45 00:02:32,800 --> 00:02:35,160 Speaker 3: and investing him because already he had promised five hundred 46 00:02:35,160 --> 00:02:35,799 Speaker 3: billion dollars. 47 00:02:37,040 --> 00:02:39,480 Speaker 5: He had promised five hundred billion dollars and it was 48 00:02:39,560 --> 00:02:43,880 Speaker 5: not insignificant, and he had talked about moving some iPhone 49 00:02:44,360 --> 00:02:50,200 Speaker 5: related chip production here and other efforts here, including training 50 00:02:50,240 --> 00:02:53,440 Speaker 5: and other works, but it wasn't enough. Trump is really 51 00:02:53,480 --> 00:02:58,600 Speaker 5: about the symbolism. He wants the iconic products, including the iPhone, 52 00:02:58,800 --> 00:03:01,680 Speaker 5: but others as well made here in the US. But 53 00:03:01,720 --> 00:03:04,720 Speaker 5: one of the problems is, of course, the workforce. We 54 00:03:04,760 --> 00:03:07,560 Speaker 5: don't have the workforce, and then the cost. Do we 55 00:03:07,600 --> 00:03:09,720 Speaker 5: have the workforce that is prepared to do the kind 56 00:03:09,800 --> 00:03:14,440 Speaker 5: of high tech, high skill assembly of these phones that 57 00:03:14,480 --> 00:03:16,960 Speaker 5: you see on mass in China and in India and 58 00:03:17,000 --> 00:03:20,240 Speaker 5: in Vietnam. We really don't. And Tim Cook has made 59 00:03:20,280 --> 00:03:23,040 Speaker 5: this point over and over again, as have other chief 60 00:03:23,080 --> 00:03:26,800 Speaker 5: executives when they talk about the challenge of bringing production 61 00:03:27,040 --> 00:03:30,440 Speaker 5: here to the US. So is a difficult moment for 62 00:03:30,520 --> 00:03:33,760 Speaker 5: Tim Cook and trying to figure out this relationship with 63 00:03:33,800 --> 00:03:34,360 Speaker 5: the US. 64 00:03:34,880 --> 00:03:35,440 Speaker 6: The cost. 65 00:03:35,640 --> 00:03:37,960 Speaker 5: There are estimates all over the place about how much 66 00:03:38,040 --> 00:03:41,960 Speaker 5: more an iPhone would cost if it were produced here, 67 00:03:42,240 --> 00:03:46,280 Speaker 5: from beginning to end. One analyst out this morning saying 68 00:03:46,320 --> 00:03:48,880 Speaker 5: as high as thirty five hundred dollars per unit. That 69 00:03:48,920 --> 00:03:50,760 Speaker 5: may be high, but it gives you an idea of 70 00:03:50,840 --> 00:03:53,600 Speaker 5: just how much more of a cost there may be 71 00:03:53,640 --> 00:03:56,800 Speaker 5: for moving production here, which Caro, it's important to note, 72 00:03:56,840 --> 00:04:00,640 Speaker 5: would take years to reroute all those supply lines, find 73 00:04:00,640 --> 00:04:01,800 Speaker 5: that land, et cetera. 74 00:04:02,320 --> 00:04:03,800 Speaker 4: Well, said Mike Sheppard. 75 00:04:03,840 --> 00:04:05,920 Speaker 3: We appreciate it, of course, that being Dan ives a 76 00:04:05,920 --> 00:04:08,960 Speaker 3: Webburshoe called about a thirty five hundred price tag, and 77 00:04:09,000 --> 00:04:11,640 Speaker 3: indeed he called it a fairy tale. And it's calling 78 00:04:11,640 --> 00:04:15,240 Speaker 3: this an absurd directive coming from the president. Let's get 79 00:04:15,240 --> 00:04:18,840 Speaker 3: more analysis with Gil Luria Da Davison managing director joining us. 80 00:04:18,880 --> 00:04:20,960 Speaker 3: Now you have a buy rating on Apple, a two 81 00:04:21,000 --> 00:04:23,000 Speaker 3: hundred and fifty dollars price target. Does any of that 82 00:04:23,160 --> 00:04:25,960 Speaker 3: change if they indeed have to bring production hitting the 83 00:04:26,040 --> 00:04:26,680 Speaker 3: United States? 84 00:04:27,960 --> 00:04:31,760 Speaker 6: It does not. This is really just a matter of timeframes. Yes, 85 00:04:31,880 --> 00:04:34,400 Speaker 6: if we needed to make an iPhone right now in 86 00:04:34,440 --> 00:04:38,160 Speaker 6: the US, it would be very expensive. But can we 87 00:04:38,279 --> 00:04:42,320 Speaker 6: do this in five years? If Apple was to commit 88 00:04:42,680 --> 00:04:45,719 Speaker 6: to bringing production on iPhones to the US in five 89 00:04:45,800 --> 00:04:50,680 Speaker 6: years and invested its considerable resources into doing that, it 90 00:04:50,720 --> 00:04:54,120 Speaker 6: wouldn't be that much more expensive. And that's what the 91 00:04:54,160 --> 00:04:57,840 Speaker 6: President is looking for. And I'm surprised that Apple is 92 00:04:58,440 --> 00:05:01,560 Speaker 6: at a point where they're negotiat eating this badly that 93 00:05:01,640 --> 00:05:04,760 Speaker 6: the President has to go out publicly and threaten them. 94 00:05:05,279 --> 00:05:08,960 Speaker 6: You've seen other technology CEOs do a much better job 95 00:05:09,400 --> 00:05:13,400 Speaker 6: of giving the President what he wants and moving forward 96 00:05:13,800 --> 00:05:17,919 Speaker 6: and making those commitments. And I'm surprised that Apple is 97 00:05:18,160 --> 00:05:20,720 Speaker 6: continuing to be humbled. Let's not forget this has been 98 00:05:20,760 --> 00:05:24,440 Speaker 6: a humbling week for Apple. Yes, at Google Io, we've 99 00:05:24,480 --> 00:05:28,440 Speaker 6: seen that that Google is way ahead on AI on Android. 100 00:05:29,000 --> 00:05:32,280 Speaker 6: Then there was the embarrassing announcement from Open Ai and 101 00:05:32,400 --> 00:05:35,880 Speaker 6: Johnny Ive. Apple needs to do a better job of 102 00:05:35,920 --> 00:05:39,559 Speaker 6: negotiating because if it does commit to a long term path, 103 00:05:39,920 --> 00:05:42,960 Speaker 6: it could make iPhones in the US at a competitive price. 104 00:05:43,400 --> 00:05:44,840 Speaker 6: It doesn't have to do it today. 105 00:05:45,200 --> 00:05:47,800 Speaker 3: How Gil, at the moment, we're hearing that we don't 106 00:05:47,800 --> 00:05:49,960 Speaker 3: have the skill set in the United States. We don't 107 00:05:49,960 --> 00:05:53,160 Speaker 3: have the ecosystem of supply chain here. It has taken 108 00:05:53,640 --> 00:05:55,960 Speaker 3: decades to build it up in China, It's taken years 109 00:05:55,960 --> 00:05:58,080 Speaker 3: to build up in India. What do they have to 110 00:05:58,120 --> 00:05:59,800 Speaker 3: go about sorting here in the United States? 111 00:06:00,040 --> 00:06:01,200 Speaker 4: Three to five year timeframe. 112 00:06:02,320 --> 00:06:05,560 Speaker 6: Yeah, that's exactly right. It is a skills issue. But 113 00:06:06,080 --> 00:06:10,279 Speaker 6: if you give them five years, we can hire internationally, 114 00:06:10,360 --> 00:06:13,039 Speaker 6: we can develop the skill Here. Apple is sitting on 115 00:06:13,160 --> 00:06:16,440 Speaker 6: fifty billion dollars of cash and it produces one hundred 116 00:06:16,440 --> 00:06:19,919 Speaker 6: billion dollars of cash every year. That is, that is 117 00:06:20,080 --> 00:06:23,240 Speaker 6: enough to accomplish great things. And if the great thing 118 00:06:23,320 --> 00:06:26,320 Speaker 6: Apple needs to accomplish right now is to develop that 119 00:06:26,360 --> 00:06:30,200 Speaker 6: skill set domestically, then it should be focusing its own 120 00:06:30,279 --> 00:06:31,920 Speaker 6: resources on that. 121 00:06:32,200 --> 00:06:33,840 Speaker 4: Again, Gil jumping in there. 122 00:06:34,360 --> 00:06:39,240 Speaker 3: The opportunity cost of diverting that cash away from R 123 00:06:39,279 --> 00:06:41,120 Speaker 3: and D. Boy, they have to catch up in terms 124 00:06:41,160 --> 00:06:44,520 Speaker 3: of Generator AI and integrating it there, but instead having 125 00:06:44,520 --> 00:06:46,719 Speaker 3: to focus on production here in the United States? Is 126 00:06:46,720 --> 00:06:49,960 Speaker 3: that not an opportunity cost? That does indeed drag down 127 00:06:50,000 --> 00:06:51,440 Speaker 3: the price target it needs for the stock. 128 00:06:53,120 --> 00:06:55,240 Speaker 6: It is a headwind and that's the head whend they're 129 00:06:55,279 --> 00:06:57,440 Speaker 6: dealing with this year. That's why the stock is down 130 00:06:57,520 --> 00:07:00,000 Speaker 6: so much, is that they've been caught in this cross 131 00:07:00,080 --> 00:07:02,920 Speaker 6: us fire and they didn't need to again. All they 132 00:07:02,920 --> 00:07:06,279 Speaker 6: needed to do is make some early commitments, start down 133 00:07:06,320 --> 00:07:09,600 Speaker 6: a path, and then this path either it leads them 134 00:07:09,640 --> 00:07:14,320 Speaker 6: to a successful outcome or they have a fallback of saying, okay, 135 00:07:14,440 --> 00:07:17,440 Speaker 6: let's just absorb the twenty five percent tariff from India. 136 00:07:17,560 --> 00:07:20,239 Speaker 6: That's why when people say it'll cost thirty five hundred 137 00:07:20,240 --> 00:07:22,560 Speaker 6: dollars to make an iPhone in the US, that's not 138 00:07:22,640 --> 00:07:25,880 Speaker 6: a real thing. The only possibility year is that they're 139 00:07:25,880 --> 00:07:28,720 Speaker 6: going to say, okay, even in a five year time frame, 140 00:07:28,760 --> 00:07:30,400 Speaker 6: it's going to cost us so much to make an 141 00:07:30,440 --> 00:07:34,320 Speaker 6: iPhone that will absorb the twenty five percent tariff from 142 00:07:34,400 --> 00:07:39,000 Speaker 6: India and absorb it through higher prices, slightly lower margin, 143 00:07:39,240 --> 00:07:43,120 Speaker 6: and push it down to vendors. So this is really 144 00:07:43,160 --> 00:07:45,720 Speaker 6: just a matter of them doing a better job negotiating 145 00:07:46,000 --> 00:07:49,880 Speaker 6: moving forward. But yes, absolutely this is a drag on 146 00:07:49,920 --> 00:07:52,840 Speaker 6: the stock. It has been this year, and until they 147 00:07:53,080 --> 00:07:56,160 Speaker 6: find a path forward and get out of the headlines, 148 00:07:56,400 --> 00:07:57,800 Speaker 6: it'll continue away on the stock. 149 00:07:57,960 --> 00:07:59,760 Speaker 3: So, Gil, if you're saying it's not a real thing, 150 00:08:00,200 --> 00:08:03,160 Speaker 3: estimate what an iPhone made in America would cost. Are 151 00:08:03,200 --> 00:08:06,280 Speaker 3: you anticipating that they do stomach a twenty five percent 152 00:08:06,360 --> 00:08:10,200 Speaker 3: tariff coming on just continue into import or are you 153 00:08:10,280 --> 00:08:13,000 Speaker 3: anticipating that they do go about a three to five 154 00:08:13,080 --> 00:08:16,320 Speaker 3: year investment plan in the US When look the term 155 00:08:16,400 --> 00:08:18,720 Speaker 3: of President Trump is in five years. 156 00:08:20,400 --> 00:08:22,920 Speaker 6: I think they need to proceed on both pasts again 157 00:08:23,000 --> 00:08:25,440 Speaker 6: this year. They can't make iPhones in the US now 158 00:08:25,480 --> 00:08:27,640 Speaker 6: this year, not in the next three years, so they 159 00:08:27,680 --> 00:08:31,520 Speaker 6: are going to have to try to negotiate that tariff 160 00:08:31,600 --> 00:08:34,280 Speaker 6: down or absorb it in the short term, which is 161 00:08:34,320 --> 00:08:37,440 Speaker 6: what they're doing, and then proceed on both paths, because 162 00:08:37,440 --> 00:08:40,280 Speaker 6: to your point, this administration isn't going to be in 163 00:08:40,360 --> 00:08:43,120 Speaker 6: power forever and they're going to have to find out 164 00:08:43,120 --> 00:08:46,800 Speaker 6: over time how what it is going to cost. I 165 00:08:46,840 --> 00:08:49,080 Speaker 6: think that we're also minimiz I think that I've heard 166 00:08:49,120 --> 00:08:53,200 Speaker 6: some comments minimizing the changes to manufacturing in the US. 167 00:08:53,360 --> 00:08:56,040 Speaker 6: Manufacturing is going to change dramatically over the next few 168 00:08:56,120 --> 00:08:58,840 Speaker 6: years in the US for a variety of reasons, because 169 00:08:59,200 --> 00:09:02,560 Speaker 6: labor has become more expensive in China and Taiwan, because 170 00:09:02,720 --> 00:09:05,680 Speaker 6: robotics are getting that much better. So in a five 171 00:09:05,760 --> 00:09:08,800 Speaker 6: year timeframe they may be able to accomplish these goals. 172 00:09:08,880 --> 00:09:12,480 Speaker 6: They have to pursue that now they don't have a choice. 173 00:09:12,800 --> 00:09:14,679 Speaker 6: But at the same time they need to use that 174 00:09:14,720 --> 00:09:17,720 Speaker 6: as leverage to go back to the administrator and say, hey, 175 00:09:18,120 --> 00:09:21,000 Speaker 6: give us five years to do this. Let's take off 176 00:09:21,080 --> 00:09:24,160 Speaker 6: that twenty five percent on India because we are making 177 00:09:24,160 --> 00:09:27,440 Speaker 6: a firm commitment to the five year timeframe and that'll 178 00:09:27,440 --> 00:09:31,080 Speaker 6: buy them the time to find a good resolution that 179 00:09:31,240 --> 00:09:35,120 Speaker 6: is possible, and mister Cook is a skillful enough negotiator 180 00:09:35,160 --> 00:09:37,199 Speaker 6: that he needs to be able to accomplish that. 181 00:09:37,400 --> 00:09:39,880 Speaker 3: But how frustrating do you think it is for investors, 182 00:09:39,880 --> 00:09:42,400 Speaker 3: for yourself or indeed Tim Cook, to just think about 183 00:09:42,440 --> 00:09:44,760 Speaker 3: the inefficiencies that have to be built into the business 184 00:09:44,840 --> 00:09:47,000 Speaker 3: model now. Even if they do bring over a component 185 00:09:47,000 --> 00:09:48,920 Speaker 3: building here in the US, it's not going to be 186 00:09:48,960 --> 00:09:50,600 Speaker 3: an easy task and they're likely to have to still 187 00:09:50,640 --> 00:09:52,640 Speaker 3: assemble in China and India for the time being. 188 00:09:55,040 --> 00:10:00,320 Speaker 6: Well, it's a reality. I think sometimes other countries and 189 00:10:00,400 --> 00:10:02,480 Speaker 6: some CEOs are a little bit in denial over the 190 00:10:02,480 --> 00:10:05,480 Speaker 6: fact that President Trump got seventy seven million votes and 191 00:10:05,600 --> 00:10:09,559 Speaker 6: believes he has a mandate to make these very profound 192 00:10:09,679 --> 00:10:14,400 Speaker 6: changes to the global order, including changing the way the 193 00:10:14,400 --> 00:10:17,760 Speaker 6: global supply chain works. This is not going to change 194 00:10:17,760 --> 00:10:20,920 Speaker 6: in the next three years. This is something that all 195 00:10:21,000 --> 00:10:23,920 Speaker 6: these companies and by the way, these countries have to 196 00:10:23,960 --> 00:10:27,520 Speaker 6: acknowledge and move forward with, and we as analysts and 197 00:10:27,559 --> 00:10:30,720 Speaker 6: investors have to adapt to it. We can't go back 198 00:10:30,760 --> 00:10:33,400 Speaker 6: in time and change the outcome of the US elections. 199 00:10:33,800 --> 00:10:36,960 Speaker 6: This is the administration, this is its policy, and we 200 00:10:37,080 --> 00:10:40,400 Speaker 6: have to adapt as investors, which means that Apple is 201 00:10:40,440 --> 00:10:44,240 Speaker 6: going to have a choppy year for sure, and other 202 00:10:44,320 --> 00:10:47,680 Speaker 6: companies that try to negotiate badly are going to have 203 00:10:47,760 --> 00:10:52,560 Speaker 6: choppy years. That's why we favor companies that have handled 204 00:10:52,600 --> 00:10:56,600 Speaker 6: this better. Microsoft, Amazon I've handled this a lot better. 205 00:10:56,960 --> 00:10:59,839 Speaker 6: Their business is more resilient to this, and they should 206 00:10:59,880 --> 00:11:03,080 Speaker 6: be better able to get through the rest of this 207 00:11:03,160 --> 00:11:04,920 Speaker 6: year and the rest of this administration. 208 00:11:05,520 --> 00:11:08,839 Speaker 3: All lies on the political navigation of Tim Coke. 209 00:11:08,960 --> 00:11:10,120 Speaker 4: Next, Gil Luria. 210 00:11:10,200 --> 00:11:13,040 Speaker 3: Great to have you Da Davidson coming up, renowned computer 211 00:11:13,080 --> 00:11:15,400 Speaker 3: scientist in Ai developed and row and he's going to 212 00:11:15,400 --> 00:11:17,200 Speaker 3: be joining us to talk about his new VC fund. 213 00:11:17,520 --> 00:11:20,559 Speaker 3: But also this talent, the skill issue that we're just 214 00:11:20,600 --> 00:11:22,480 Speaker 3: talking about with Gil Luria, can that be brought here 215 00:11:22,520 --> 00:11:23,360 Speaker 3: to the United States. 216 00:11:23,920 --> 00:11:24,880 Speaker 4: Let's just take a quick. 217 00:11:24,720 --> 00:11:26,240 Speaker 3: Check on the market's ahead of that though, because the 218 00:11:26,280 --> 00:11:29,280 Speaker 3: Nazak is under pressure as we dial up tariff anxiety. 219 00:11:29,400 --> 00:11:30,600 Speaker 4: Nazak off by more than percent. 220 00:11:30,760 --> 00:11:33,160 Speaker 3: We see this semiconductor index also off by two percent, 221 00:11:33,160 --> 00:11:35,760 Speaker 3: and video gets sold for Apple in the line of fire. 222 00:11:35,800 --> 00:11:54,160 Speaker 3: This is bluebog technology. The big news today it is 223 00:11:54,280 --> 00:11:57,440 Speaker 3: Apple shares trading low as investors react to President Trump's 224 00:11:57,480 --> 00:12:00,280 Speaker 3: threat of a twenty five percent tariff on the company 225 00:12:00,320 --> 00:12:03,240 Speaker 3: if it doesn't bring more iPhone production to the United States. 226 00:12:03,640 --> 00:12:07,360 Speaker 3: But doing that requires skills many American workers currently do 227 00:12:07,440 --> 00:12:10,040 Speaker 3: not have. We're pleased to welcome to the show Andrew 228 00:12:10,080 --> 00:12:13,040 Speaker 3: and his world renowned computer scientist, thought leader and also 229 00:12:13,080 --> 00:12:16,240 Speaker 3: the co founder of online education company called Serah, and 230 00:12:16,440 --> 00:12:19,640 Speaker 3: is also announcing his second fund targeting AI startups. Andrew, 231 00:12:19,679 --> 00:12:21,960 Speaker 3: it is wonderful to have your voice on the show. 232 00:12:22,000 --> 00:12:24,280 Speaker 3: And before we get into really the AI talent that 233 00:12:24,320 --> 00:12:26,240 Speaker 3: you've been building, I just want to get your take 234 00:12:26,320 --> 00:12:28,559 Speaker 3: on the labor skills that are currently needed in the 235 00:12:28,640 --> 00:12:31,520 Speaker 3: US for this manufacturing pivot. If we were to bring 236 00:12:31,679 --> 00:12:35,160 Speaker 3: iPhone manufacturing to the United States, could we do it 237 00:12:35,280 --> 00:12:36,880 Speaker 3: in a near ative time frame? 238 00:12:38,040 --> 00:12:40,480 Speaker 7: It will take years to develop the talent based needed 239 00:12:40,600 --> 00:12:42,480 Speaker 7: to bring a lot of advanced manufacturing back to the 240 00:12:42,559 --> 00:12:45,440 Speaker 7: United States. I think there's a certain largely to making 241 00:12:45,480 --> 00:12:48,240 Speaker 7: sure that advanced manufacturing is under the control of the 242 00:12:48,360 --> 00:12:51,240 Speaker 7: US and our allies, and that's important, not just US 243 00:12:51,280 --> 00:12:54,920 Speaker 7: but also I trusted Ollies. Several years ago, I actually 244 00:12:55,000 --> 00:12:58,760 Speaker 7: visited Wisconsin where the first Trump administration and fox Con 245 00:12:59,320 --> 00:13:01,880 Speaker 7: might be put fed into Wiscon Valley, which is an 246 00:13:01,920 --> 00:13:06,560 Speaker 7: attempt to move semiconductor, sorry, move display manufacturing panel display 247 00:13:06,559 --> 00:13:10,040 Speaker 7: manufacturing to the United States in Wisconsin, and frankly it 248 00:13:10,080 --> 00:13:13,200 Speaker 7: was a great effort, but it really struggled to gain 249 00:13:13,320 --> 00:13:16,320 Speaker 7: traction because it's very difficult to find the talent in 250 00:13:16,360 --> 00:13:20,079 Speaker 7: Wisconsin or the US more broadly, with the advanced manufacturing skills, 251 00:13:20,320 --> 00:13:24,480 Speaker 7: manufacturing today is often a high skill requiring knowing about robotics, 252 00:13:24,520 --> 00:13:27,480 Speaker 7: knowing about software. It's not just people assembling little things 253 00:13:27,480 --> 00:13:29,480 Speaker 7: with their hands anymore. And we've got a lot of 254 00:13:29,559 --> 00:13:31,560 Speaker 7: work to do to grow that talent in the US. 255 00:13:31,720 --> 00:13:34,040 Speaker 3: Where could we bring in from and where have you 256 00:13:34,160 --> 00:13:37,000 Speaker 3: seen that skill set among allies that can be broad 257 00:13:37,000 --> 00:13:39,080 Speaker 3: in because in many ways it's feeling as though we're 258 00:13:39,080 --> 00:13:39,760 Speaker 3: not bringing in. 259 00:13:39,800 --> 00:13:41,439 Speaker 4: Talent from abroad at this moment either. 260 00:13:42,920 --> 00:13:46,680 Speaker 7: I think that in the case of manufacturing talent, curly 261 00:13:46,760 --> 00:13:49,439 Speaker 7: China has a lot of it. I think Taiwan interestingly 262 00:13:49,600 --> 00:13:52,240 Speaker 7: also has a lot of manufacturing talent. So I feel 263 00:13:52,240 --> 00:13:55,040 Speaker 7: like and obviously also Japan. I think some parts of 264 00:13:55,120 --> 00:13:57,480 Speaker 7: career as well, especial when it comes to semiconductors. But 265 00:13:57,559 --> 00:14:01,600 Speaker 7: so many of our allies do have skilled manufacturing talent. 266 00:14:01,720 --> 00:14:04,080 Speaker 7: But how to work with them to import some of 267 00:14:04,080 --> 00:14:06,520 Speaker 7: those skills to the US is I think something still 268 00:14:06,520 --> 00:14:09,000 Speaker 7: to be figured out. And then on the other sid 269 00:14:09,040 --> 00:14:11,240 Speaker 7: of the spectrum they alluded to, I think one of 270 00:14:11,320 --> 00:14:13,760 Speaker 7: the best things that US could do to ensure American 271 00:14:13,760 --> 00:14:17,160 Speaker 7: competitiveness in AI and other advanced technology fields is to 272 00:14:17,920 --> 00:14:21,720 Speaker 7: frankly support our universities and support high skill immigration. 273 00:14:22,480 --> 00:14:26,280 Speaker 3: How have you been considering the cuts to science funding 274 00:14:26,320 --> 00:14:29,520 Speaker 3: in particular? Is that impacting your sector? The sector you 275 00:14:29,520 --> 00:14:32,640 Speaker 3: want to invest more in with your second fund. 276 00:14:33,000 --> 00:14:35,960 Speaker 7: So AFUNS Adventure Studio. We work with many entrepreneurs to 277 00:14:35,960 --> 00:14:39,440 Speaker 7: build companies and I feel like over the last many decades, 278 00:14:39,520 --> 00:14:43,040 Speaker 7: America led the world in science and technology, and this 279 00:14:43,160 --> 00:14:45,720 Speaker 7: is an eraror when we have strong institutions like the 280 00:14:45,800 --> 00:14:49,320 Speaker 7: National Science Foundation and the NAH the funded open research. 281 00:14:49,800 --> 00:14:52,200 Speaker 7: One thing that I think not many people fully understand 282 00:14:52,320 --> 00:14:55,600 Speaker 7: is when say, the National Science Foundation funds and researcher 283 00:14:55,640 --> 00:14:58,040 Speaker 7: the writer research paper there's published a free anyone in 284 00:14:58,080 --> 00:15:01,560 Speaker 7: the Internet can can read it. Yes, it holds their adversaries. Yes, 285 00:15:01,600 --> 00:15:03,720 Speaker 7: it helps the whole world. But the country it helps 286 00:15:03,760 --> 00:15:07,200 Speaker 7: the most is America because when an American researcher on American 287 00:15:07,240 --> 00:15:11,160 Speaker 7: assault publishes a paper, that diffusion of knowledge is fastest 288 00:15:11,200 --> 00:15:14,640 Speaker 7: within America. And yes, other countries, including our adversaries, can 289 00:15:14,680 --> 00:15:17,680 Speaker 7: benefit from it too, but that openness of research helps 290 00:15:17,680 --> 00:15:19,960 Speaker 7: the country that does it the most. And so I 291 00:15:20,000 --> 00:15:24,120 Speaker 7: think America's ability to attract amazing international I always once 292 00:15:24,120 --> 00:15:26,760 Speaker 7: an international student myself on an F one visa, and 293 00:15:26,800 --> 00:15:28,520 Speaker 7: I came to the US study and it ended up 294 00:15:28,840 --> 00:15:31,800 Speaker 7: saying and hopefully making some positive contributions to this country. 295 00:15:32,160 --> 00:15:36,920 Speaker 7: I think welcoming school immigration would be a they would 296 00:15:36,920 --> 00:15:39,720 Speaker 7: be an important piece of insurance American competitiveness. 297 00:15:39,760 --> 00:15:41,920 Speaker 3: Well, let's talk about your positive contribution when it comes 298 00:15:41,960 --> 00:15:44,480 Speaker 3: to raising one hundred and ninety million dollars second fund 299 00:15:44,480 --> 00:15:48,200 Speaker 3: to invest in ai talent and startups and sort of 300 00:15:48,200 --> 00:15:50,480 Speaker 3: co found them in many ways. What sector is you 301 00:15:50,600 --> 00:15:53,360 Speaker 3: looking at and are they US built companies alone? 302 00:15:54,600 --> 00:15:57,440 Speaker 7: We are building the majority of countries we built are 303 00:15:57,480 --> 00:16:00,960 Speaker 7: in the US, but we are also working with businesses 304 00:16:01,000 --> 00:16:05,200 Speaker 7: in Japan and Taiwan. Career and so on, Afan's Adventure studio. 305 00:16:05,320 --> 00:16:08,320 Speaker 7: So what I decided was unlikely traditional VC. You know, 306 00:16:08,360 --> 00:16:11,440 Speaker 7: I don't want to be competing for or chasing deal flow, 307 00:16:11,880 --> 00:16:15,840 Speaker 7: so we exclusively work of entrepreneurs to co found companies. 308 00:16:15,920 --> 00:16:18,760 Speaker 7: What that means is my team is alongside the entrepreneurial 309 00:16:18,840 --> 00:16:21,880 Speaker 7: We're writing code and customers debating what features to build. 310 00:16:22,320 --> 00:16:25,560 Speaker 7: And because my team is fortunate to be close to 311 00:16:25,640 --> 00:16:29,000 Speaker 7: the AI technology, a less of local across many different 312 00:16:29,040 --> 00:16:32,880 Speaker 7: industry sectors, recruit great AI talent and apply our technical 313 00:16:32,920 --> 00:16:36,160 Speaker 7: expertise to all sorts of different sectors where AI can 314 00:16:36,160 --> 00:16:36,720 Speaker 7: be applied. 315 00:16:37,280 --> 00:16:39,960 Speaker 3: Well come back as that portfolio continues to grow. 316 00:16:40,120 --> 00:16:41,720 Speaker 4: Andrew has been a joy speaking with you. 317 00:16:41,800 --> 00:16:44,640 Speaker 3: Congratulations on the new fund and thank you for sharing 318 00:16:44,640 --> 00:16:47,200 Speaker 3: your expertise and drawing. Of course, managing general partner at 319 00:16:47,200 --> 00:16:50,040 Speaker 3: the AI Fund, It's also founder of Deep Learning AI and. 320 00:16:50,000 --> 00:16:51,840 Speaker 4: Of course co founder of Coursera. 321 00:16:52,440 --> 00:16:55,400 Speaker 3: Sticking with artificial intelligence and forropic well, it's rolling out 322 00:16:55,400 --> 00:16:58,040 Speaker 3: two new versions of its claud AI software, including a 323 00:16:58,120 --> 00:16:58,760 Speaker 3: longer laid. 324 00:16:58,680 --> 00:17:00,480 Speaker 4: Update to the high end model. 325 00:17:00,720 --> 00:17:02,720 Speaker 3: This is as a startup really advised to stay ahead 326 00:17:02,760 --> 00:17:06,240 Speaker 3: of a crowded market. Mike Kreiger joined ed a little 327 00:17:06,240 --> 00:17:09,880 Speaker 3: earlier Andthropic's chief product officer, Our really. 328 00:17:10,280 --> 00:17:12,199 Speaker 8: You know constraint for the slaunch was we wanted to 329 00:17:12,240 --> 00:17:14,520 Speaker 8: be available to you know, as many people as want 330 00:17:14,560 --> 00:17:16,520 Speaker 8: it on the launch day itself as well, and so 331 00:17:16,560 --> 00:17:19,080 Speaker 8: it'll be generally available. It'll be in claud dot ai 332 00:17:19,240 --> 00:17:22,080 Speaker 8: for our more end users. It'll also be available in 333 00:17:22,080 --> 00:17:24,760 Speaker 8: the API for usage on day one, and then as 334 00:17:24,800 --> 00:17:27,000 Speaker 8: people scale up their usage, you know, there's often you know, 335 00:17:27,080 --> 00:17:29,199 Speaker 8: capacity and rate limit conversations that we need to have 336 00:17:29,280 --> 00:17:31,119 Speaker 8: just because the models aren't really in demand. But in 337 00:17:31,200 --> 00:17:32,720 Speaker 8: terms of being generally available. 338 00:17:32,720 --> 00:17:36,680 Speaker 3: It's day one coming up tech IPOs and we're back. 339 00:17:36,920 --> 00:17:39,359 Speaker 3: We'll discuss a Bream and ch equity Zen. This is 340 00:17:39,359 --> 00:17:58,359 Speaker 3: reuly Meg technology. Now as the broader market sells off 341 00:17:58,560 --> 00:18:02,400 Speaker 3: shares of Mountain of Hinge Health, both trading higher after 342 00:18:02,440 --> 00:18:05,520 Speaker 3: making their public debuts just yesterday. Their success is giving 343 00:18:05,600 --> 00:18:07,560 Speaker 3: hope to other tech startups that have been waiting to 344 00:18:07,600 --> 00:18:10,560 Speaker 3: go public in some cases for many years. 345 00:18:10,920 --> 00:18:11,800 Speaker 4: Let's talk about it all. 346 00:18:11,880 --> 00:18:14,520 Speaker 3: Briann lynches with US head of market Insights at equity 347 00:18:14,600 --> 00:18:16,840 Speaker 3: Zen and one of the largest pre IPO platforms for 348 00:18:16,960 --> 00:18:19,840 Speaker 3: private shares. It's in the secondary market and brand. Look, 349 00:18:20,000 --> 00:18:22,840 Speaker 3: are we seeing the creaking open? Is it companies that 350 00:18:23,040 --> 00:18:24,840 Speaker 3: have to come to the market or are we going 351 00:18:24,840 --> 00:18:26,560 Speaker 3: to start to see companies that just want to come 352 00:18:26,600 --> 00:18:27,320 Speaker 3: in this environment? 353 00:18:28,800 --> 00:18:31,040 Speaker 9: Thanks for having me now. If you had asked me 354 00:18:31,080 --> 00:18:33,640 Speaker 9: a few weeks ago if we would be seeing positive 355 00:18:33,680 --> 00:18:36,720 Speaker 9: IPO activity right now, I would have said no. But 356 00:18:36,800 --> 00:18:40,040 Speaker 9: these few companies that have bit the bullet and decided 357 00:18:40,080 --> 00:18:43,240 Speaker 9: to go out Eutro last week, Hinge Health, and mount 358 00:18:43,240 --> 00:18:46,879 Speaker 9: In yesterday are performing well in are outperforming the market. 359 00:18:47,000 --> 00:18:49,240 Speaker 9: So I think, you know, we're not in a market 360 00:18:49,359 --> 00:18:52,840 Speaker 9: environment where we'll see the floodgates open up. But for 361 00:18:52,960 --> 00:18:57,160 Speaker 9: companies that need to go public for liquidity or other reasons, 362 00:18:57,400 --> 00:19:00,359 Speaker 9: or feel like they have a really compelling story, they 363 00:19:00,440 --> 00:19:02,719 Speaker 9: might just be brave and decide to despite you know, 364 00:19:02,760 --> 00:19:04,280 Speaker 9: the volatility there is. 365 00:19:04,320 --> 00:19:06,800 Speaker 3: What are the story necessities. It's interesting that core we've 366 00:19:06,840 --> 00:19:10,480 Speaker 3: now really outperforming. We're at priced despite the initial volatility. 367 00:19:10,720 --> 00:19:13,640 Speaker 3: So we've got an AI focus, you've got release services 368 00:19:13,640 --> 00:19:16,480 Speaker 3: and consumer focus businesses. Thus far, does it have to 369 00:19:16,520 --> 00:19:19,160 Speaker 3: be there or could we even go into broader hardware 370 00:19:19,240 --> 00:19:19,920 Speaker 3: and deep tech? 371 00:19:21,359 --> 00:19:23,520 Speaker 9: I think we can go broader into a hardware detech. 372 00:19:23,600 --> 00:19:26,480 Speaker 9: There's other names that are on our radars. Rebra Swan 373 00:19:26,560 --> 00:19:29,480 Speaker 9: who has filed and you know, has been on the 374 00:19:29,520 --> 00:19:32,600 Speaker 9: IPO pipeline for some time now. But what's interesting is 375 00:19:33,000 --> 00:19:35,399 Speaker 9: the companies we've seen recently. You have a fintech, you 376 00:19:35,400 --> 00:19:37,360 Speaker 9: have a health tech, you have an ad tech company, 377 00:19:37,440 --> 00:19:41,520 Speaker 9: so very different companies, but there are some similarities. These 378 00:19:41,560 --> 00:19:44,760 Speaker 9: are older companies that are over a decade plus years old, 379 00:19:45,080 --> 00:19:48,000 Speaker 9: so there's a lot of investors and early employees who've 380 00:19:48,000 --> 00:19:51,560 Speaker 9: been reading a very long time for liquidity. Surprisingly, when 381 00:19:51,560 --> 00:19:54,400 Speaker 9: you look at the two from yesterday, these are unprofitable 382 00:19:54,440 --> 00:19:57,080 Speaker 9: companies as well, so it's a little bit surprising to 383 00:19:57,080 --> 00:19:59,720 Speaker 9: see how well they've then received given that they're not 384 00:19:59,800 --> 00:20:03,000 Speaker 9: yet profitable. They're almost there, but it seems like maybe 385 00:20:03,000 --> 00:20:06,720 Speaker 9: that's not a requirement now for public market investors when 386 00:20:06,720 --> 00:20:10,080 Speaker 9: you're achieving thirty five plus percent growth rates and hundreds 387 00:20:10,119 --> 00:20:13,320 Speaker 9: of millions of dollars in revenue. So I think there's 388 00:20:13,520 --> 00:20:16,600 Speaker 9: a similar story well we're seeing across some of these sectors. 389 00:20:17,200 --> 00:20:20,480 Speaker 9: And another thing to notice, these have been down round IPOs, 390 00:20:20,520 --> 00:20:24,160 Speaker 9: you know, the to yesterday both raising in their IPO 391 00:20:24,320 --> 00:20:28,320 Speaker 9: at valuations below their last round of private funding, and 392 00:20:28,440 --> 00:20:30,800 Speaker 9: especially for a lot of these companies that last raise 393 00:20:30,880 --> 00:20:33,480 Speaker 9: in twenty twenty one, twenty twenty two, I think that's 394 00:20:33,480 --> 00:20:35,280 Speaker 9: going to be a reality in the market. So just 395 00:20:35,320 --> 00:20:37,680 Speaker 9: some commonalities and things that we may expect to see 396 00:20:37,680 --> 00:20:39,000 Speaker 9: as others enter the market. 397 00:20:39,200 --> 00:20:41,600 Speaker 3: Bran, Let's talk though about some of the pressures that 398 00:20:41,600 --> 00:20:44,639 Speaker 3: can be taken off by the secondary market, because liquidity 399 00:20:44,760 --> 00:20:47,080 Speaker 3: for employees that have been there a long time, liquidity 400 00:20:47,119 --> 00:20:48,600 Speaker 3: for the venture that's back them for a long time, 401 00:20:48,640 --> 00:20:51,600 Speaker 3: and it's actually getting far easier in the secondary market 402 00:20:51,680 --> 00:20:53,439 Speaker 3: right absolutely. 403 00:20:53,480 --> 00:20:57,040 Speaker 9: And what we've seen is the VC ecosystem as a 404 00:20:57,040 --> 00:20:59,520 Speaker 9: whole is at this really interesting inflection point where it 405 00:20:59,600 --> 00:21:02,400 Speaker 9: used to be raise capital from LPs, deploy that into 406 00:21:02,440 --> 00:21:05,280 Speaker 9: early stage startups, have exits around the ten year time 407 00:21:05,280 --> 00:21:10,199 Speaker 9: horizon return capital, rinse, repeat, rinse repeat. That crucial exit 408 00:21:10,240 --> 00:21:13,280 Speaker 9: at the ten year timeline piece is not happening, and 409 00:21:13,320 --> 00:21:17,840 Speaker 9: that's really driving more secondary activity. Precursor Ventures gave a 410 00:21:17,880 --> 00:21:20,080 Speaker 9: stat a few weeks ago that they expect seventy five 411 00:21:20,119 --> 00:21:23,640 Speaker 9: to eighty percent of distributions to LPs to be from 412 00:21:23,720 --> 00:21:26,359 Speaker 9: secondaries over the next five years, and that's a huge 413 00:21:26,440 --> 00:21:29,800 Speaker 9: number and it really speaks to the liquidity crunch that 414 00:21:29,800 --> 00:21:33,640 Speaker 9: we're seeing in the venture market, and secondaries are certainly 415 00:21:33,680 --> 00:21:35,080 Speaker 9: becoming a larger avenue. 416 00:21:35,119 --> 00:21:39,600 Speaker 3: To address that briefly, though, we've seen an interesting tech 417 00:21:39,960 --> 00:21:42,919 Speaker 3: focus from vcs where they convert to be able to 418 00:21:42,960 --> 00:21:45,159 Speaker 3: buy more of the secondary market, maybe even some of 419 00:21:45,160 --> 00:21:46,120 Speaker 3: the public market too. 420 00:21:47,160 --> 00:21:47,440 Speaker 1: Yeah. 421 00:21:47,440 --> 00:21:51,320 Speaker 9: Absolutely, so, we've seen this trend of more vcs registering 422 00:21:51,359 --> 00:21:54,760 Speaker 9: as Ria's light Speed is the most recent example of 423 00:21:54,800 --> 00:21:57,320 Speaker 9: a VC firm that's done that, and that really allows 424 00:21:57,359 --> 00:22:00,480 Speaker 9: them more flexibility to invest more than twenty percent of 425 00:22:00,520 --> 00:22:05,160 Speaker 9: their portfolio into both public companies and secondaries. And while 426 00:22:05,160 --> 00:22:07,840 Speaker 9: we've talked a lot about, you know, the secondary need 427 00:22:07,960 --> 00:22:11,720 Speaker 9: on the cell side, there's also a secondary need on 428 00:22:11,760 --> 00:22:15,440 Speaker 9: the buy side where these AI companies they have just 429 00:22:15,720 --> 00:22:18,480 Speaker 9: so much capital available to them, it's hard for most 430 00:22:18,520 --> 00:22:21,280 Speaker 9: investors to get access to a funding round or get 431 00:22:21,280 --> 00:22:23,680 Speaker 9: the allocation that they're looking for in you know, the 432 00:22:23,800 --> 00:22:26,920 Speaker 9: latest AI startup, So they're also coming to the secondary 433 00:22:26,920 --> 00:22:30,080 Speaker 9: market to either build or establish investments. 434 00:22:30,359 --> 00:22:32,359 Speaker 3: Brian Lynch, great to catch up with you, thank you, 435 00:22:32,400 --> 00:22:34,960 Speaker 3: head of Market inside It at Quityzen. Meanwhile, we check 436 00:22:35,000 --> 00:22:37,439 Speaker 3: bick back on the big story of the day, Apple 437 00:22:37,480 --> 00:22:40,280 Speaker 3: shares lower well, we see a twenty five percent tariff 438 00:22:40,359 --> 00:22:44,280 Speaker 3: that they don't move more US manufacturing for the iPhone. 439 00:22:44,440 --> 00:22:45,800 Speaker 4: This is Bloomberg Technology