1 00:00:01,400 --> 00:00:05,080 Speaker 1: From the heart where innovation, money and power Collie in 2 00:00:05,200 --> 00:00:09,719 Speaker 1: Silicon Vallet and beyond. This is Bloomberg Technology with Caroline 3 00:00:09,800 --> 00:00:24,160 Speaker 1: Hyde and Ed Ludlow. 4 00:00:25,480 --> 00:00:28,000 Speaker 2: I'm Scarlett who in for Caroline Hide at Bloomberg World 5 00:00:28,000 --> 00:00:29,920 Speaker 2: headquarters in New York, and. 6 00:00:29,880 --> 00:00:32,240 Speaker 3: I'm Alex Burnka in for Ed Ludlow in San Francisco. 7 00:00:32,400 --> 00:00:34,560 Speaker 3: This is Bloomberg Technology. 8 00:00:34,159 --> 00:00:37,279 Speaker 2: Coming up an escalation in the US China tensions as 9 00:00:37,360 --> 00:00:40,440 Speaker 2: China bans microns chips on cybersecurity risks. 10 00:00:40,440 --> 00:00:43,080 Speaker 4: Will bring you all the details, plus a. 11 00:00:43,000 --> 00:00:45,559 Speaker 3: Record find for Meta, the social media giant ordered to 12 00:00:45,560 --> 00:00:48,200 Speaker 3: pay one point three billion dollars to the EU after 13 00:00:48,240 --> 00:00:51,680 Speaker 3: regulators said it failed to protect personal information. We'll break 14 00:00:51,680 --> 00:00:54,560 Speaker 3: that decision down and forward. 15 00:00:54,320 --> 00:00:57,280 Speaker 2: Stepping up its electric vehicle output after reaching a series 16 00:00:57,280 --> 00:01:00,000 Speaker 2: of deals to buy lithium from projects in Canada to 17 00:01:00,560 --> 00:01:02,800 Speaker 2: We're going to be hearing from the CEO later this hour, 18 00:01:04,120 --> 00:01:05,679 Speaker 2: but first we want to give you a check on 19 00:01:05,760 --> 00:01:08,600 Speaker 2: markets and where things stand at midday here in New York. 20 00:01:08,680 --> 00:01:09,800 Speaker 4: It's very much weight and. 21 00:01:09,760 --> 00:01:12,080 Speaker 2: See game when it comes to the broader equity market, 22 00:01:12,120 --> 00:01:14,960 Speaker 2: both on the debt selling negotiations and what the Federal 23 00:01:15,000 --> 00:01:17,640 Speaker 2: Reserve decides to do with interest rates. Negotiating teams, by 24 00:01:17,680 --> 00:01:21,040 Speaker 2: the way, are back on at the table today in Washington, 25 00:01:21,120 --> 00:01:24,119 Speaker 2: d C. However, we do see the Nazak one hundred 26 00:01:24,200 --> 00:01:27,520 Speaker 2: leading the way. Tech stocks continue to be the outperformers here, 27 00:01:27,720 --> 00:01:29,640 Speaker 2: even as chip makers are under pressure. We'll get to 28 00:01:29,680 --> 00:01:31,520 Speaker 2: that a little bit later on the Nazak one hundred, 29 00:01:31,560 --> 00:01:35,360 Speaker 2: by the way, at a thirteen month high, and excel UF, 30 00:01:35,360 --> 00:01:37,720 Speaker 2: which is the ETF that tracks financial stocks, up by 31 00:01:37,720 --> 00:01:39,919 Speaker 2: a third of one percent, thanks very much. In focus 32 00:01:39,959 --> 00:01:43,039 Speaker 2: today with JP morgan Chase holding its investor day and 33 00:01:43,120 --> 00:01:47,480 Speaker 2: also helping to boost sentiment is pack West. The Beverly 34 00:01:47,560 --> 00:01:50,840 Speaker 2: Hills based lender is not a holding in this ETF, 35 00:01:50,960 --> 00:01:53,680 Speaker 2: but it is taking steps to boost its liquidity by 36 00:01:53,720 --> 00:01:56,280 Speaker 2: selling two point six billion dollars of real estate loans 37 00:01:56,360 --> 00:01:59,080 Speaker 2: at a discount and the two year yield ticking up 38 00:01:59,080 --> 00:02:01,440 Speaker 2: to four point three to three percent. There's no ECO 39 00:02:01,520 --> 00:02:04,760 Speaker 2: data today, so expect a lot of movement based on 40 00:02:04,840 --> 00:02:09,760 Speaker 2: incremental movement, hopefully progress in those debt sealing discussions. Let's 41 00:02:09,760 --> 00:02:11,640 Speaker 2: switch it up here and take a look at commodities. 42 00:02:11,880 --> 00:02:14,400 Speaker 2: Crude oil has now flipped to the upside, up by 43 00:02:14,400 --> 00:02:16,760 Speaker 2: four tenths of one percent, even as copper is down 44 00:02:16,800 --> 00:02:19,360 Speaker 2: by one point three percent. Still a lot of concerns 45 00:02:19,400 --> 00:02:22,520 Speaker 2: over what's going on in China. That post COVID rebound 46 00:02:22,600 --> 00:02:24,560 Speaker 2: has not been as strong as many people had hoped, 47 00:02:24,600 --> 00:02:27,320 Speaker 2: and the lack of fresh stimulus measures in China is 48 00:02:27,360 --> 00:02:29,560 Speaker 2: certainly holding back some of the medals. 49 00:02:29,800 --> 00:02:30,880 Speaker 4: And I wanted to point. 50 00:02:30,680 --> 00:02:33,040 Speaker 2: Out the Hanksaying Index closing up by more than one 51 00:02:33,400 --> 00:02:36,440 Speaker 2: percent after Joe Biden, the President said that he expects 52 00:02:36,560 --> 00:02:39,680 Speaker 2: US China relations to improve very shortly. 53 00:02:39,720 --> 00:02:40,960 Speaker 4: Details on that coming up. 54 00:02:41,000 --> 00:02:44,880 Speaker 2: And finally, Greek stocks getting a big, big day here. 55 00:02:44,960 --> 00:02:48,040 Speaker 2: They made a new ten year high after national elections. 56 00:02:48,080 --> 00:02:50,880 Speaker 2: It looks like the incumbent Prime Minister is in position 57 00:02:50,960 --> 00:02:53,600 Speaker 2: to get another four year term, which is certainly a 58 00:02:53,600 --> 00:02:56,799 Speaker 2: good thing for all his investment friendly policies. That investors 59 00:02:56,800 --> 00:02:59,079 Speaker 2: are keeping a very close eye on alex What about you? 60 00:02:59,120 --> 00:03:01,840 Speaker 4: What are you watching? I'm watching the top tech. 61 00:03:01,600 --> 00:03:05,360 Speaker 3: Mover today, Scarlett first with Meta Investors are really taking 62 00:03:05,400 --> 00:03:08,640 Speaker 3: that one point three billion dollar fine in Stride coming 63 00:03:08,639 --> 00:03:11,320 Speaker 3: over from the EU. Perhaps that's because the company has 64 00:03:11,360 --> 00:03:14,160 Speaker 3: actually in the past threatened to leave if there's not 65 00:03:14,440 --> 00:03:17,799 Speaker 3: a resolution on the EU's kind of push for them 66 00:03:17,800 --> 00:03:20,840 Speaker 3: not to send userdata over overseas to the US. I'm 67 00:03:20,880 --> 00:03:23,640 Speaker 3: also looking at Albermarle. Now, this is a company that 68 00:03:23,800 --> 00:03:27,440 Speaker 3: just inked a lithium partnership with Ford. Ford has a 69 00:03:27,480 --> 00:03:31,280 Speaker 3: fifty billion dollar electric vehicle plan and for Albemarle to 70 00:03:31,280 --> 00:03:33,680 Speaker 3: be in the mix. Investors are liking a little bit 71 00:03:33,720 --> 00:03:36,920 Speaker 3: of that now. In terms of what's going on in 72 00:03:36,960 --> 00:03:39,360 Speaker 3: the cybersecurity space, there is. 73 00:03:39,440 --> 00:03:42,240 Speaker 4: Kind of our top name of the day, Micron. 74 00:03:42,640 --> 00:03:48,200 Speaker 3: China's cybersecurity regulator said it found relatively serious cybersecurity risks 75 00:03:48,400 --> 00:03:51,280 Speaker 3: when it comes to the company's chips. Whether this is 76 00:03:51,560 --> 00:03:54,200 Speaker 3: political banter or there are actual risks. We're going to 77 00:03:54,240 --> 00:03:56,560 Speaker 3: break all that down in the show, but for now, 78 00:03:56,640 --> 00:03:59,320 Speaker 3: investors drove the stock down around five percent. It's pairents 79 00:03:59,280 --> 00:04:02,360 Speaker 3: some of those laws, but we'll get into the details here, 80 00:04:02,400 --> 00:04:05,480 Speaker 3: Suit Scarlett, all right, and let's stay on that right now, 81 00:04:05,520 --> 00:04:08,200 Speaker 3: because we're going to go now to San Francisco and 82 00:04:08,240 --> 00:04:11,680 Speaker 3: bring in Ian King, who's covered semiconductors in Asia and 83 00:04:11,720 --> 00:04:14,080 Speaker 3: now on the West Coast. So Ian, with his decades 84 00:04:14,080 --> 00:04:16,160 Speaker 3: of experience, is certainly the best person to speak on this. 85 00:04:16,560 --> 00:04:20,000 Speaker 2: Ian, as Alex was setting up for us. It's curious 86 00:04:20,160 --> 00:04:23,440 Speaker 2: this ban on Micron products. What kind of history does 87 00:04:23,480 --> 00:04:27,080 Speaker 2: Micron have with China specifically? Is there a notable significant 88 00:04:27,120 --> 00:04:27,960 Speaker 2: history between the two. 89 00:04:29,000 --> 00:04:31,279 Speaker 5: Yeah, I mean there are a number of incidents. The 90 00:04:31,279 --> 00:04:34,760 Speaker 5: big thing to point out is that Micron, unlike it's 91 00:04:34,800 --> 00:04:39,000 Speaker 5: South Korean competitors Sam Song and s Khaynix, doesn't have 92 00:04:39,120 --> 00:04:43,440 Speaker 5: a production plant in China. Those guys do, which obviously 93 00:04:43,480 --> 00:04:46,479 Speaker 5: makes them a little bit closer to Beijing's heart in 94 00:04:46,560 --> 00:04:49,880 Speaker 5: terms of what that country wants to do with domesticating 95 00:04:49,920 --> 00:04:52,640 Speaker 5: its own chip industry. And the other sort of negative 96 00:04:53,080 --> 00:04:55,760 Speaker 5: thing that's happened for Micron in the past is Micron 97 00:04:55,839 --> 00:05:00,360 Speaker 5: went caught with a Taiwanese company arguing that that company 98 00:05:00,360 --> 00:05:04,680 Speaker 5: with stealing its IP to give to China. So there's 99 00:05:04,720 --> 00:05:07,279 Speaker 5: there's some real kind of tension there in the past. 100 00:05:07,680 --> 00:05:10,240 Speaker 3: Now Ian Micron obviously caught in the middle of this 101 00:05:10,240 --> 00:05:11,080 Speaker 3: political banter. 102 00:05:11,440 --> 00:05:13,480 Speaker 4: If your Qualcom, if you're Broadcom. 103 00:05:13,080 --> 00:05:15,719 Speaker 3: If you're Intel, should you be worried that your next 104 00:05:15,760 --> 00:05:19,279 Speaker 3: And if not, why is Micron the target of Beijing's 105 00:05:19,320 --> 00:05:20,039 Speaker 3: ire at the moment? 106 00:05:20,160 --> 00:05:23,480 Speaker 5: I mean, the way to think about this is China 107 00:05:23,560 --> 00:05:28,120 Speaker 5: needs Qualcomm, China needs Intel. China needs Broadcom, it doesn't 108 00:05:28,200 --> 00:05:31,400 Speaker 5: need Micron. The chips that Micron makes, the DRAM and 109 00:05:31,480 --> 00:05:34,840 Speaker 5: the non flash memory chips are basically exactly the same 110 00:05:34,880 --> 00:05:37,240 Speaker 5: as the ones that Samsung makes, as the ones at 111 00:05:37,320 --> 00:05:39,960 Speaker 5: sk Henex makes, So literally you can drop them into 112 00:05:40,040 --> 00:05:42,280 Speaker 5: a piece of electronics, pull one out, put one in. 113 00:05:42,560 --> 00:05:45,520 Speaker 5: You can't do that with other products from those companies 114 00:05:45,560 --> 00:05:47,680 Speaker 5: you mentioned. So that's what's going on here. 115 00:05:47,960 --> 00:05:50,880 Speaker 2: That's incredible context here because Micron's memory chips are kind 116 00:05:50,880 --> 00:05:55,039 Speaker 2: of commoditized. They're pretty standard components as opposed to say, 117 00:05:55,040 --> 00:05:58,000 Speaker 2: in videos graphics chips. How much of this is trying 118 00:05:58,040 --> 00:06:00,640 Speaker 2: to buying time or giving its own domestic industry some 119 00:06:00,720 --> 00:06:02,040 Speaker 2: time to bloom. 120 00:06:03,520 --> 00:06:07,960 Speaker 5: I mean, if that's the plan, we're talking a decade 121 00:06:08,120 --> 00:06:12,560 Speaker 5: two decades before they'll have equivalent capabilities. What this is 122 00:06:12,600 --> 00:06:15,800 Speaker 5: being seen as more of Scarlett is really Beijing has 123 00:06:16,000 --> 00:06:17,760 Speaker 5: just really had to take it on the chin. We've 124 00:06:17,760 --> 00:06:20,880 Speaker 5: seen all of these actions by the US government against 125 00:06:21,040 --> 00:06:24,719 Speaker 5: Chinese technology companies, and really Beijing has had nothing to 126 00:06:24,760 --> 00:06:27,479 Speaker 5: fight back with apart from Micron. It can take a 127 00:06:27,520 --> 00:06:28,080 Speaker 5: swing at them. 128 00:06:28,480 --> 00:06:31,560 Speaker 3: Ian King, our in house semiconductor expert, Thank you. I 129 00:06:31,600 --> 00:06:34,440 Speaker 3: want to now bring in the Washington angle on this. 130 00:06:34,520 --> 00:06:38,120 Speaker 3: We have Bloomberg's Haley Lines. Kayley, as we see this 131 00:06:38,240 --> 00:06:42,120 Speaker 3: kind of back and forth between Beijing and DC, what 132 00:06:42,200 --> 00:06:44,200 Speaker 3: do you think is next here or does dec have 133 00:06:44,240 --> 00:06:45,080 Speaker 3: a response to this. 134 00:06:45,080 --> 00:06:46,200 Speaker 4: Micron move from China. 135 00:06:47,480 --> 00:06:50,640 Speaker 6: Yeah, well, we've already heard from the Commerce Department on this, 136 00:06:50,760 --> 00:06:54,680 Speaker 6: saying that Beijing's conclusion here that micro imposes a cybersecurity 137 00:06:55,120 --> 00:06:57,839 Speaker 6: national security threat has no basis in fact, and that 138 00:06:57,960 --> 00:07:00,919 Speaker 6: this action, along with some other recent action that Beijing 139 00:07:00,960 --> 00:07:04,159 Speaker 6: has taken, is inconsistent with China's assertions that it's opening 140 00:07:04,240 --> 00:07:08,920 Speaker 6: up its markets and is committed to a transparent regulatory framework. 141 00:07:09,160 --> 00:07:11,640 Speaker 6: So that's the US response. Of course, China, for its 142 00:07:11,680 --> 00:07:15,080 Speaker 6: part in releasing this conclusion from this review, says it 143 00:07:15,120 --> 00:07:17,680 Speaker 6: wasn't political, that it is about national security, but it 144 00:07:17,720 --> 00:07:20,440 Speaker 6: does kind of have this sense of escalating a fight 145 00:07:20,520 --> 00:07:23,040 Speaker 6: between the world's two largest economies when it comes to 146 00:07:23,080 --> 00:07:25,000 Speaker 6: this technology. Because we have to keep in mind the 147 00:07:25,120 --> 00:07:27,680 Speaker 6: US has already taken plenty of action on its own. 148 00:07:27,720 --> 00:07:30,760 Speaker 6: It's blacklisted certain Chinese technology firms, and of course late 149 00:07:30,840 --> 00:07:35,280 Speaker 6: last year also introduced a pretty sweeping restriction on selling 150 00:07:35,480 --> 00:07:38,520 Speaker 6: advanced semiconductor manufacturing equipement to China. 151 00:07:39,000 --> 00:07:41,840 Speaker 2: You know, it's ironic that this is happening right as 152 00:07:42,000 --> 00:07:44,880 Speaker 2: President Joe Biden is in Asia attending the G seven 153 00:07:44,920 --> 00:07:47,640 Speaker 2: summit and making comments about how he sees he has 154 00:07:47,760 --> 00:07:51,200 Speaker 2: China relations actually improving very shortly. Give us some context 155 00:07:51,280 --> 00:07:53,360 Speaker 2: for when he made those comments and what he might 156 00:07:53,400 --> 00:07:54,040 Speaker 2: be referring to. 157 00:07:55,280 --> 00:07:57,160 Speaker 6: Well, that was him speaking before he left the G 158 00:07:57,240 --> 00:07:59,720 Speaker 6: seven seven in Japan, your right, Scarlett or Ambrey Horden, 159 00:07:59,800 --> 00:08:03,400 Speaker 6: was asking him about China. Also the question around sanctions 160 00:08:03,400 --> 00:08:06,760 Speaker 6: to facilitate a meeting between Defense Secretary Lloyd Austin and 161 00:08:06,800 --> 00:08:09,840 Speaker 6: his counterpart, which that we understand is under review by 162 00:08:09,880 --> 00:08:13,320 Speaker 6: the administration, still something potentially in the works. But he 163 00:08:13,400 --> 00:08:16,680 Speaker 6: did say referring to the Chinese spy balloon incident that 164 00:08:16,720 --> 00:08:20,200 Speaker 6: captured all of our attention earlier this year, calling it silly, 165 00:08:20,280 --> 00:08:23,600 Speaker 6: saying that he does expect relations between the US and 166 00:08:23,720 --> 00:08:27,680 Speaker 6: China too thaw in the near term. It poses a 167 00:08:27,800 --> 00:08:31,320 Speaker 6: very interesting contrast between the tone of the President's remarks 168 00:08:31,520 --> 00:08:35,000 Speaker 6: over the weekend versus then just hours later later China 169 00:08:35,080 --> 00:08:37,360 Speaker 6: making this move against a US company. 170 00:08:38,080 --> 00:08:40,920 Speaker 3: Now, Kaylee, this isn't the only big conversation happening in DC. 171 00:08:41,520 --> 00:08:43,720 Speaker 3: It is start of the week. Where are we next 172 00:08:43,720 --> 00:08:46,280 Speaker 3: on the debt ceiling debate? What do we expect today 173 00:08:46,320 --> 00:08:47,280 Speaker 3: on this Monday. 174 00:08:48,200 --> 00:08:50,160 Speaker 6: Well, at five point thirty pm, there is going to 175 00:08:50,200 --> 00:08:53,559 Speaker 6: be a meeting between President Biden and House Speaker Kevin McCarthy. 176 00:08:53,640 --> 00:08:56,040 Speaker 6: So that's really what we're all looking forward to. 177 00:08:56,200 --> 00:08:56,360 Speaker 4: Now. 178 00:08:56,360 --> 00:08:58,839 Speaker 6: Those two did speak on the phone yesterday when the 179 00:08:58,920 --> 00:09:00,880 Speaker 6: President Biden was on Air one on his. 180 00:09:00,920 --> 00:09:02,520 Speaker 4: Way back to the US. 181 00:09:02,559 --> 00:09:04,640 Speaker 6: It seemed that their tone coming out of that phone 182 00:09:04,640 --> 00:09:07,640 Speaker 6: call was one of more optimism. But really this is 183 00:09:07,640 --> 00:09:10,640 Speaker 6: going to be about real progress being made. 184 00:09:10,679 --> 00:09:11,439 Speaker 7: We understand that. 185 00:09:11,400 --> 00:09:13,640 Speaker 6: The two sides are still really far far apart in 186 00:09:13,679 --> 00:09:16,840 Speaker 6: the negotiations, as their different parties have been working over 187 00:09:16,880 --> 00:09:19,480 Speaker 6: the weekend, working again at the Capitol this morning on 188 00:09:19,559 --> 00:09:22,520 Speaker 6: this But the issue of spending cuts, spending caps, stricter 189 00:09:22,640 --> 00:09:26,760 Speaker 6: work requirements for entitlements, permitting reform, all still on the table, 190 00:09:26,800 --> 00:09:30,480 Speaker 6: all still needing to be ironed out into an ultimate compromise. 191 00:09:30,600 --> 00:09:33,520 Speaker 6: Because even once we get a deal between Speaker McCarthy 192 00:09:33,559 --> 00:09:35,520 Speaker 6: and President Biden, it still needs to work. It's the 193 00:09:35,520 --> 00:09:38,040 Speaker 6: way through both chambers of Congress to make it back 194 00:09:38,080 --> 00:09:40,240 Speaker 6: to the President's desk for him to sign off on it. 195 00:09:40,480 --> 00:09:42,800 Speaker 6: And we're just ten days out now from June first, 196 00:09:42,920 --> 00:09:46,000 Speaker 6: which Treasury Secretary Jenneyellen reiterated over the weekend could be 197 00:09:46,280 --> 00:09:47,600 Speaker 6: the earliest possible X State. 198 00:09:47,840 --> 00:09:50,240 Speaker 2: Yeah, Cluck is sticking. Kelly, Thank you so much. Kelly 199 00:09:50,280 --> 00:09:52,160 Speaker 2: Lines joining us from Washington. 200 00:10:00,600 --> 00:10:02,240 Speaker 4: It's time now for talking tech. 201 00:10:02,360 --> 00:10:05,199 Speaker 3: First up, Uber, the ride sharing company, is placing its 202 00:10:05,200 --> 00:10:08,520 Speaker 3: head of diversity on leave after complaints of insensitivity. 203 00:10:08,760 --> 00:10:10,559 Speaker 7: CEO Dara Kashrashahi asked. 204 00:10:10,400 --> 00:10:12,880 Speaker 3: Bo Young Lee to take a leave of absence after 205 00:10:12,920 --> 00:10:16,640 Speaker 3: workers complained that an employee event she moderated called Don't 206 00:10:16,640 --> 00:10:20,520 Speaker 3: Call Me Karen was insensitive to people of color. And 207 00:10:20,800 --> 00:10:24,160 Speaker 3: turmoil in the cyber insurance market. Global insurers are racing 208 00:10:24,200 --> 00:10:27,280 Speaker 3: to figure out how to avoid covering government sponsored cyber 209 00:10:27,320 --> 00:10:31,840 Speaker 3: attacks and catastrophic hacks. Ransomware attacks increased by eighty seven 210 00:10:31,920 --> 00:10:34,200 Speaker 3: percent in twenty twenty two from the year prior, with 211 00:10:34,320 --> 00:10:37,720 Speaker 3: global cyber premiums expected to exceed twenty three billion dollars 212 00:10:37,760 --> 00:10:38,840 Speaker 3: by twenty twenty five. 213 00:10:39,440 --> 00:10:39,880 Speaker 4: Plus. 214 00:10:39,920 --> 00:10:44,240 Speaker 3: Instagram ran into some technical difficulties on Sunday night. Tens 215 00:10:44,240 --> 00:10:46,880 Speaker 3: of thousands of users reported that they could not access 216 00:10:46,920 --> 00:10:49,840 Speaker 3: the app and what was the second widespread disruption in 217 00:10:49,960 --> 00:10:52,720 Speaker 3: just over two months. Down detectors now reporting that the 218 00:10:52,760 --> 00:10:55,120 Speaker 3: problem lasted for about an hour and the app is 219 00:10:55,280 --> 00:10:56,280 Speaker 3: back up and running. 220 00:10:56,320 --> 00:10:58,559 Speaker 4: Now, Scarlett, all right, well we're going. 221 00:10:58,559 --> 00:11:02,319 Speaker 2: To stick with Instagram because his parent company Meta now 222 00:11:02,400 --> 00:11:05,360 Speaker 2: faces a record one point three billion dollar fine in 223 00:11:05,440 --> 00:11:07,560 Speaker 2: the EU. So we want to bring in Alex Webb 224 00:11:07,600 --> 00:11:10,000 Speaker 2: of Bloomberg Quick Take, who covers all things tech, to 225 00:11:10,040 --> 00:11:11,400 Speaker 2: give us some more context here. 226 00:11:11,679 --> 00:11:12,320 Speaker 4: Alex, this is. 227 00:11:12,320 --> 00:11:14,760 Speaker 2: Something that was not a total surprise, but the amount 228 00:11:14,840 --> 00:11:15,800 Speaker 2: is certainly a surprise. 229 00:11:17,360 --> 00:11:20,800 Speaker 8: Yes, it is a record fine for Facebook. The question 230 00:11:20,880 --> 00:11:23,920 Speaker 8: is whether ultimately they will end up paying it. There 231 00:11:24,320 --> 00:11:27,840 Speaker 8: sort pertains to the so called US EU privacy Shield. 232 00:11:27,920 --> 00:11:31,679 Speaker 8: This was the agreement that previously let companies transfer data 233 00:11:31,679 --> 00:11:35,319 Speaker 8: from Europe to the US without any major questions asked. 234 00:11:35,520 --> 00:11:37,559 Speaker 8: Then all of a sudden there were concerns that actually 235 00:11:37,679 --> 00:11:40,680 Speaker 8: US intelligence agencies might have access to this data, so 236 00:11:40,720 --> 00:11:44,800 Speaker 8: they scrapped the privacy shield. Facebook has, according to this decision, 237 00:11:44,800 --> 00:11:47,760 Speaker 8: at any rate, failed to prevent data from being shipped 238 00:11:47,800 --> 00:11:51,120 Speaker 8: over to the US. There is, however, a new privacy shield. 239 00:11:51,160 --> 00:11:53,520 Speaker 8: Talks about it are in the offering that could be 240 00:11:53,559 --> 00:11:56,200 Speaker 8: agreed upon by the end of the Northern Hemisphere summer. 241 00:11:57,040 --> 00:11:59,559 Speaker 3: Now alex The investors, though, are not necessarily seeing this 242 00:11:59,600 --> 00:12:01,839 Speaker 3: as about thing. Perhaps that's because the company in the 243 00:12:01,880 --> 00:12:03,840 Speaker 3: past has threatened to actually pull out of the EU. 244 00:12:04,320 --> 00:12:07,640 Speaker 3: How are you taking this stock reaction that the shares 245 00:12:07,679 --> 00:12:09,800 Speaker 3: are up about two percent on the news even though 246 00:12:09,800 --> 00:12:12,840 Speaker 3: this is a record fine for Meta. 247 00:12:13,080 --> 00:12:15,120 Speaker 8: Well, Often in these sort of cases, when a fine 248 00:12:15,440 --> 00:12:18,720 Speaker 8: is sold out, stocks do tend to pop because investors 249 00:12:18,760 --> 00:12:21,960 Speaker 8: have clarity. They know how much this is likely to 250 00:12:22,000 --> 00:12:24,439 Speaker 8: cost the company if it does end up costing them 251 00:12:24,480 --> 00:12:28,880 Speaker 8: anything at all. That clarity therefore results in a stock 252 00:12:28,920 --> 00:12:32,920 Speaker 8: price gain. Often then, don't forget you know, Facebook has 253 00:12:33,280 --> 00:12:36,160 Speaker 8: met as oodles of money, has very healthy free cash flow, 254 00:12:36,200 --> 00:12:39,520 Speaker 8: even before the savings program that they've been putting into place. 255 00:12:39,520 --> 00:12:43,720 Speaker 8: They've reported twenty eight billion of revenue in the first quarter. 256 00:12:43,760 --> 00:12:46,760 Speaker 8: So one point three billion, you know, while clearly painful, 257 00:12:47,160 --> 00:12:48,800 Speaker 8: is not going to bankrupt the company. 258 00:12:48,960 --> 00:12:49,280 Speaker 4: Yeah. 259 00:12:49,320 --> 00:12:51,839 Speaker 2: Absolutely, And we've seen how those tech companies with their 260 00:12:51,840 --> 00:12:54,960 Speaker 2: free cash flow have been regarded as safe havens for 261 00:12:55,080 --> 00:12:58,199 Speaker 2: investors in this turbulent time in the markets. One thing 262 00:12:58,240 --> 00:13:00,520 Speaker 2: that I did notice in the reporting is that metal 263 00:13:00,640 --> 00:13:03,480 Speaker 2: was given time to suspend any future transfer of data. 264 00:13:03,520 --> 00:13:05,440 Speaker 2: Does that mean that there is a way out for 265 00:13:05,480 --> 00:13:08,400 Speaker 2: the company where perhaps a fine could be whittled down. 266 00:13:10,679 --> 00:13:12,719 Speaker 8: No, it means that if they don't do it by 267 00:13:12,760 --> 00:13:15,280 Speaker 8: that date, then there could be there's the risk of 268 00:13:15,280 --> 00:13:18,400 Speaker 8: further punishment. The real act. One of the really interesting 269 00:13:18,440 --> 00:13:20,960 Speaker 8: piece of reporting on this About a year ago, Motherboard 270 00:13:21,280 --> 00:13:23,560 Speaker 8: managed to get hold of an internal document from Facebook 271 00:13:23,640 --> 00:13:26,120 Speaker 8: which likened data to a pot of ink that is 272 00:13:26,160 --> 00:13:28,240 Speaker 8: thrown into a swimming pool. That the ink is in 273 00:13:28,280 --> 00:13:30,360 Speaker 8: the pool, Now, how do you gather that ink back up? 274 00:13:30,559 --> 00:13:34,880 Speaker 8: The internal Facebook document heavily implied that that was essentially impossible. 275 00:13:34,880 --> 00:13:36,880 Speaker 8: That's the real challenge they face right now. Perhaps over 276 00:13:36,880 --> 00:13:40,040 Speaker 8: the course of the past year since this reporting was published, 277 00:13:40,120 --> 00:13:42,120 Speaker 8: they have found a way of putting the ink back 278 00:13:42,160 --> 00:13:44,760 Speaker 8: in the pot, but it is a real challenge and 279 00:13:44,800 --> 00:13:46,280 Speaker 8: will be interested to see how or if they do it. 280 00:13:47,120 --> 00:13:50,480 Speaker 3: Alex, this is meta cotton and crosshairs. This beats out 281 00:13:50,520 --> 00:13:53,760 Speaker 3: the record fine that was previously applied to Amazon. Are 282 00:13:53,760 --> 00:13:56,720 Speaker 3: there other companies in the EU that should be looking 283 00:13:56,760 --> 00:13:59,079 Speaker 3: at this as kind of a warning sign? Who should 284 00:13:59,080 --> 00:14:01,480 Speaker 3: be actually looking at where their ink is spread throughout 285 00:14:01,480 --> 00:14:02,400 Speaker 3: their organizations. 286 00:14:03,840 --> 00:14:08,120 Speaker 8: I think that the EU has been very slow on GDPR, 287 00:14:08,480 --> 00:14:12,560 Speaker 8: on the general Data Protection regulation, and they are that 288 00:14:12,640 --> 00:14:17,160 Speaker 8: clearly picking the big most egregious victims first. It's still 289 00:14:17,160 --> 00:14:19,440 Speaker 8: five years, so first, it's a very long timeline. It 290 00:14:19,520 --> 00:14:21,720 Speaker 8: is a warning shot to other people to say, you know, 291 00:14:21,920 --> 00:14:23,880 Speaker 8: sort your stuff out. I'm sure there are plenty of 292 00:14:23,880 --> 00:14:26,800 Speaker 8: other companies who have done this. Facebook also sits on 293 00:14:26,800 --> 00:14:29,720 Speaker 8: one of the biggest pools of consumer data in the world, 294 00:14:29,800 --> 00:14:32,200 Speaker 8: so it's unsurprising therefore that they are gone for first. 295 00:14:32,200 --> 00:14:33,840 Speaker 8: I wouldn't like to name names on who else might 296 00:14:33,880 --> 00:14:35,880 Speaker 8: be in the firing line, but I'm sure there is 297 00:14:35,920 --> 00:14:38,080 Speaker 8: a very long list of people who could be vulnerable 298 00:14:38,120 --> 00:14:39,440 Speaker 8: to this well. 299 00:14:39,480 --> 00:14:42,120 Speaker 3: Bloomberg's Alex Webb thanks for joining and some clarity on 300 00:14:42,160 --> 00:14:54,200 Speaker 3: that situation. Rory Harvey, executive vice president of General Motors, 301 00:14:54,240 --> 00:14:57,200 Speaker 3: spoke exclusively to Bloomberg's Matt Miller about its new line 302 00:14:57,200 --> 00:15:00,440 Speaker 3: of evs, including an electric Chevrolet Varado. 303 00:15:00,600 --> 00:15:01,160 Speaker 4: Take a listen. 304 00:15:03,240 --> 00:15:05,880 Speaker 9: We have our Altium platform, and the Altium platform actually 305 00:15:05,880 --> 00:15:08,800 Speaker 9: gives us the ability to be able to configure battery 306 00:15:08,840 --> 00:15:11,320 Speaker 9: packs in many different formats in terms of the amount 307 00:15:11,360 --> 00:15:13,800 Speaker 9: of modules that are in there, so dependent upon the 308 00:15:13,840 --> 00:15:16,960 Speaker 9: capabilities of the vehicle, dependent upon the prices of the vehicle, 309 00:15:17,040 --> 00:15:20,360 Speaker 9: dependent upon what functionality we want from the vehicle, then 310 00:15:20,400 --> 00:15:23,480 Speaker 9: we can figure those atium battery packs in a way 311 00:15:23,520 --> 00:15:26,120 Speaker 9: that fits the customer needs. So there's a huge decree 312 00:15:26,200 --> 00:15:29,320 Speaker 9: of commonality within autium. But it also provides us with 313 00:15:29,520 --> 00:15:30,680 Speaker 9: ultimate flexibility. 314 00:15:31,120 --> 00:15:34,240 Speaker 10: Is altm able to scale from you know, a thirty 315 00:15:34,280 --> 00:15:36,520 Speaker 10: thousand dollars vehicle all the way up to one hundred 316 00:15:36,520 --> 00:15:38,160 Speaker 10: and fifty thousand dollars vehicle. 317 00:15:38,800 --> 00:15:41,360 Speaker 9: It certainly is. That's one of the great things about 318 00:15:41,360 --> 00:15:42,280 Speaker 9: otium as a product. 319 00:15:43,040 --> 00:15:47,200 Speaker 10: That's that's very impressive. Now, having said that, more people 320 00:15:47,280 --> 00:15:49,880 Speaker 10: who are ordering your vehicles are paying closer to the 321 00:15:49,920 --> 00:15:53,280 Speaker 10: upper end. I saw that of the Silverado HD orders, 322 00:15:53,320 --> 00:15:57,160 Speaker 10: which is a work truck. Let's be fair, right, eighty 323 00:15:57,200 --> 00:16:01,640 Speaker 10: four percent or for AT four and Denali trims. In 324 00:16:01,680 --> 00:16:04,360 Speaker 10: fact more than fifty percent or for Denali and Denali 325 00:16:04,480 --> 00:16:05,080 Speaker 10: Ultimate trims. 326 00:16:05,120 --> 00:16:07,240 Speaker 4: So they're paying top dollar for these trucks. 327 00:16:08,360 --> 00:16:10,840 Speaker 9: Yeah, no, I mean, and I think that's again it's 328 00:16:10,880 --> 00:16:14,000 Speaker 9: just credibility in terms of the desirability of the product portfolio. 329 00:16:14,040 --> 00:16:16,440 Speaker 9: If you looked at the general Motors product portfolio today, 330 00:16:17,040 --> 00:16:19,800 Speaker 9: I think it's outstanding. And if you looked at it 331 00:16:19,840 --> 00:16:22,600 Speaker 9: in terms of what customers are looking at to buy 332 00:16:22,680 --> 00:16:25,200 Speaker 9: to meet their needs. As an example, they're paying a premium. 333 00:16:25,240 --> 00:16:28,200 Speaker 9: So again it just shows the desirability of our vehicles 334 00:16:28,680 --> 00:16:30,680 Speaker 9: and the fact that we've got vehicles that are attractive 335 00:16:30,680 --> 00:16:31,400 Speaker 9: to our customers. 336 00:16:31,480 --> 00:16:35,320 Speaker 10: You have a small electric vehicle in the bolt that 337 00:16:35,440 --> 00:16:39,040 Speaker 10: addresses that issue. How are your EV sales as a 338 00:16:39,040 --> 00:16:41,600 Speaker 10: percentage of the total what do you expect for example, 339 00:16:41,720 --> 00:16:44,040 Speaker 10: Rory in twenty twenty three and twenty twenty four. 340 00:16:45,160 --> 00:16:47,840 Speaker 9: Yeah, that one's really interesting because, as you know, Matt, 341 00:16:47,880 --> 00:16:50,800 Speaker 9: the adoption rates continue to change. If you looked at 342 00:16:51,000 --> 00:16:53,080 Speaker 9: the data for April, I think it was the highest 343 00:16:53,080 --> 00:16:55,880 Speaker 9: penetration of evs in the industry as an example. So 344 00:16:56,080 --> 00:17:00,680 Speaker 9: we adjust our production capabilities in line with could demand. 345 00:17:01,000 --> 00:17:03,600 Speaker 9: So I guess I'm not going to give a definitive number, 346 00:17:03,640 --> 00:17:06,360 Speaker 9: but suffice to say that you know it's increasing all 347 00:17:06,400 --> 00:17:08,639 Speaker 9: of the time. And if you looked at the second 348 00:17:08,680 --> 00:17:11,080 Speaker 9: half of the year, certainly if you take the Cadillac 349 00:17:11,160 --> 00:17:13,400 Speaker 9: Lyric as an example, we know that we started off 350 00:17:13,440 --> 00:17:18,040 Speaker 9: deliberately so with relatively low volumes and we're building significantly 351 00:17:18,080 --> 00:17:20,240 Speaker 9: in half two, so it's going to take an ever 352 00:17:20,320 --> 00:17:22,159 Speaker 9: greater proportion of general motor sales. 353 00:17:22,280 --> 00:17:24,400 Speaker 10: Rory, let me finally ask you about the chip situation. 354 00:17:24,920 --> 00:17:27,080 Speaker 10: Are you all cut up in terms of the supply chain? 355 00:17:27,119 --> 00:17:29,040 Speaker 10: Can you get all the chips that you need to 356 00:17:29,480 --> 00:17:32,040 Speaker 10: produce in the size that you want to. 357 00:17:33,880 --> 00:17:35,880 Speaker 9: I would say work in progress. I would say it's 358 00:17:35,920 --> 00:17:39,680 Speaker 9: significantly better than where it was historically. I would say 359 00:17:39,720 --> 00:17:42,240 Speaker 9: that we are not in a position that we could 360 00:17:42,240 --> 00:17:44,800 Speaker 9: declare that it's all totally behind us, but I would 361 00:17:44,840 --> 00:17:46,960 Speaker 9: say that it's much more stable, and I would say 362 00:17:46,960 --> 00:17:49,159 Speaker 9: that it's going to continue to improve going forward. So 363 00:17:49,280 --> 00:17:51,880 Speaker 9: a much better position overall. 364 00:17:52,080 --> 00:17:54,639 Speaker 2: And you can watch Ry Harvey's full interview with Bloomberg 365 00:17:54,760 --> 00:17:57,160 Speaker 2: on the Terminal. Now, Matt Miller has been pretty busy 366 00:17:57,400 --> 00:17:59,880 Speaker 2: because he also sat down with Ford CEO Jim Farley 367 00:18:00,200 --> 00:18:03,320 Speaker 2: about that company ramping up its EV production, which includes 368 00:18:03,320 --> 00:18:06,560 Speaker 2: striking a number of deals to buy lithium for batteries. 369 00:18:06,720 --> 00:18:09,800 Speaker 2: Matt joins us now from Ford's production plant in Michigan. Matt, 370 00:18:09,800 --> 00:18:11,160 Speaker 2: I thought you were going to wear a hard hat. 371 00:18:11,480 --> 00:18:13,359 Speaker 2: I didn't realize you're outside in front of cars. But 372 00:18:13,400 --> 00:18:15,879 Speaker 2: of course you are tell us a little bit about 373 00:18:15,960 --> 00:18:19,320 Speaker 2: the Ford Lithium partnership that it made public today. How 374 00:18:19,320 --> 00:18:22,439 Speaker 2: critical is this partnership to meeting Ford's edy goals. 375 00:18:24,480 --> 00:18:27,520 Speaker 10: Yeah, it's very important because you know, last year Ford 376 00:18:27,640 --> 00:18:29,959 Speaker 10: sold at least in the US, I think about sixty 377 00:18:29,960 --> 00:18:34,159 Speaker 10: one sixty two thousand electric vehicles in total. In twenty 378 00:18:34,200 --> 00:18:37,320 Speaker 10: twenty six, they want to sell two millions, so they've 379 00:18:37,320 --> 00:18:40,640 Speaker 10: got to ramp up substantially, and the most difficult part 380 00:18:40,640 --> 00:18:44,480 Speaker 10: of that, according to Jim Farley, is scaling up battery production. 381 00:18:44,680 --> 00:18:46,879 Speaker 10: In order to build those batteries, they need a lot 382 00:18:46,960 --> 00:18:51,160 Speaker 10: of chemicals and minerals like lithium, they need nickel, they 383 00:18:51,160 --> 00:18:55,480 Speaker 10: need cobalt, and getting those things isn't particularly easy, especially 384 00:18:55,480 --> 00:18:59,960 Speaker 10: since eighty percent of that refining process currently sits in China. 385 00:19:00,119 --> 00:19:03,399 Speaker 10: So Ford has made a number of deals three on 386 00:19:03,600 --> 00:19:07,439 Speaker 10: lithium with the biggest lithium producers in the world to 387 00:19:07,520 --> 00:19:11,600 Speaker 10: get that refining done in North America and in South America, 388 00:19:11,640 --> 00:19:16,359 Speaker 10: so in Canada and Mexico and in Chile. That's really 389 00:19:16,520 --> 00:19:20,560 Speaker 10: key to keeping costs down, and that's really the biggest 390 00:19:20,560 --> 00:19:22,480 Speaker 10: part of the vehicle. So they're going to be building 391 00:19:22,520 --> 00:19:27,520 Speaker 10: their next generation electric vehicles in Tennessee as well as 392 00:19:27,920 --> 00:19:30,040 Speaker 10: around the rest of North American plants that they already 393 00:19:30,080 --> 00:19:34,440 Speaker 10: have production in. But getting these chemicals, getting these minerals 394 00:19:34,640 --> 00:19:35,800 Speaker 10: is really important. 395 00:19:36,800 --> 00:19:38,560 Speaker 4: And Matt, that sounds expensive. 396 00:19:38,680 --> 00:19:41,359 Speaker 7: Are those costs being passed along to consumers? 397 00:19:41,400 --> 00:19:45,119 Speaker 3: What's the pricing strategy look like for Ford's evs as 398 00:19:45,119 --> 00:19:46,400 Speaker 3: they roll them out? 399 00:19:47,760 --> 00:19:52,360 Speaker 10: Yeah, so it is very expensive. And right now they 400 00:19:52,400 --> 00:19:56,440 Speaker 10: have a negative one hundred percent margin and change right 401 00:19:56,480 --> 00:20:00,640 Speaker 10: they're losing three billion dollars this year on about three 402 00:20:00,760 --> 00:20:04,760 Speaker 10: billion dollars in revenue. They hope to change that dramatically. 403 00:20:05,000 --> 00:20:08,480 Speaker 10: So by twenty twenty six, remember is less than three 404 00:20:08,560 --> 00:20:11,560 Speaker 10: years away, they want to have an eight percent margin 405 00:20:11,760 --> 00:20:15,439 Speaker 10: on their entire electric vehicle fleet, so that would be 406 00:20:15,520 --> 00:20:19,280 Speaker 10: a massive change, a ten percent margin on the internal 407 00:20:19,320 --> 00:20:20,639 Speaker 10: combustion engine fleet. 408 00:20:21,119 --> 00:20:22,160 Speaker 4: And they need. 409 00:20:21,880 --> 00:20:24,119 Speaker 10: Those big margins which they already make on you know, 410 00:20:24,160 --> 00:20:27,720 Speaker 10: the big trucks and the very expensive gas cars they sell, 411 00:20:27,920 --> 00:20:30,840 Speaker 10: like the Mustang or the Bronco that you see behind me. 412 00:20:30,920 --> 00:20:35,080 Speaker 10: They need those profits to invest into this battery electric 413 00:20:35,160 --> 00:20:38,320 Speaker 10: vehicle business before it starts making its own money. 414 00:20:38,400 --> 00:20:41,240 Speaker 4: Yeah, it's own virtuous circle. Matt, thank you. So much. 415 00:20:41,280 --> 00:20:44,000 Speaker 2: Matt Miller, of course, joining us right now from outside 416 00:20:44,000 --> 00:20:56,000 Speaker 2: Ford's production plant. Welcome back to Bloomberg Technology. I'm Scarlettfoo in. 417 00:20:55,920 --> 00:20:58,520 Speaker 7: New York, and I'm Alex Brinkan San Francisco. 418 00:20:58,560 --> 00:20:59,280 Speaker 4: All right, let's get you. 419 00:20:59,240 --> 00:21:01,359 Speaker 2: A check on the market gets at midday here in 420 00:21:01,359 --> 00:21:04,040 Speaker 2: New York, another day of muted price action when it 421 00:21:04,080 --> 00:21:07,200 Speaker 2: comes to equities and the major indexes, the SMP moving 422 00:21:07,280 --> 00:21:10,600 Speaker 2: up marshaling by one tenth of one percent. Clearly, investors 423 00:21:10,600 --> 00:21:13,760 Speaker 2: are waiting for any kind of progress on debt selling negotiations, 424 00:21:14,080 --> 00:21:17,760 Speaker 2: as well as responding to commentary from FED officials. Two 425 00:21:17,760 --> 00:21:22,119 Speaker 2: FED Regional Bank presidents Neil Kashkari and James Buller giving 426 00:21:22,160 --> 00:21:25,520 Speaker 2: some hawkish commentary talking about how a pause is not 427 00:21:25,560 --> 00:21:28,960 Speaker 2: necessarily the thing that's going to come up next, perhaps 428 00:21:29,000 --> 00:21:31,640 Speaker 2: a rat hike might be in order in the coming future, 429 00:21:32,080 --> 00:21:34,560 Speaker 2: and also how inflation is still something the FED is 430 00:21:34,640 --> 00:21:37,360 Speaker 2: keeping its eye on. Nevertheless, you continue to see those 431 00:21:37,359 --> 00:21:40,280 Speaker 2: big cap tech stocks piling on gains. We have the 432 00:21:40,359 --> 00:21:43,280 Speaker 2: NAZAQ one hundred already at a thirteen month high, gaining 433 00:21:43,280 --> 00:21:44,919 Speaker 2: another two tenths of one percent. 434 00:21:44,960 --> 00:21:46,639 Speaker 4: Apple among the big gainers. 435 00:21:46,240 --> 00:21:49,280 Speaker 2: Here and XLF the ETF that tracks financial stocks in 436 00:21:49,359 --> 00:21:52,200 Speaker 2: focus today as JP Morgan Chase holds its Investor Day 437 00:21:52,440 --> 00:21:55,520 Speaker 2: and PacWest makes some moves to shortest liquidity, the two 438 00:21:55,600 --> 00:21:58,680 Speaker 2: year yield inching up by six basis points these days, 439 00:21:58,680 --> 00:22:00,639 Speaker 2: that kind of is an inching up at four point 440 00:22:00,680 --> 00:22:03,440 Speaker 2: three to two percent. We know that Treasury Secretary Janet 441 00:22:03,480 --> 00:22:06,040 Speaker 2: Yellen has said that the chances the US can pay 442 00:22:06,119 --> 00:22:08,800 Speaker 2: all its bills by mid June, when the next round 443 00:22:08,800 --> 00:22:11,560 Speaker 2: of tax receipts come in, are quite low. And we 444 00:22:11,640 --> 00:22:14,399 Speaker 2: do know that President Joe Biden and Kevin McCarthy, the 445 00:22:14,440 --> 00:22:17,080 Speaker 2: Speaker of the House, are scheduled to resume meeting at 446 00:22:17,119 --> 00:22:20,200 Speaker 2: five thirty pm Eastern time today after the market's closed. 447 00:22:20,200 --> 00:22:22,040 Speaker 2: So there's a lot of wait and see until we 448 00:22:22,080 --> 00:22:24,600 Speaker 2: get to that point. Now, taking a look at one 449 00:22:24,640 --> 00:22:27,720 Speaker 2: individual name, it's Micron, and the stock is in retreat today, 450 00:22:27,760 --> 00:22:30,439 Speaker 2: falling as much as five percent from Friday's close to 451 00:22:30,440 --> 00:22:33,520 Speaker 2: an eleven month high. But today it is coming down 452 00:22:33,520 --> 00:22:35,720 Speaker 2: a little bit because, like so many other tech socks, 453 00:22:36,040 --> 00:22:39,000 Speaker 2: Micron has had a banner twenty twenty three. So far, 454 00:22:39,280 --> 00:22:42,000 Speaker 2: the memory chip maker had gained as much as thirty 455 00:22:42,000 --> 00:22:45,760 Speaker 2: seven percent after giving indication that the industry has worked 456 00:22:45,760 --> 00:22:48,000 Speaker 2: its way through most of the over supply of chips. 457 00:22:48,000 --> 00:22:51,560 Speaker 2: But what happened today is that China said Micron's products 458 00:22:51,600 --> 00:22:54,560 Speaker 2: fail to pass a cybersecurity review, and that's led to 459 00:22:54,560 --> 00:22:57,040 Speaker 2: a decision to ban Micron products. 460 00:22:57,280 --> 00:22:58,600 Speaker 4: Other US chip makers. 461 00:22:58,320 --> 00:23:00,920 Speaker 2: Are falling in sympathy, while we've seen some Korean chip 462 00:23:00,960 --> 00:23:05,000 Speaker 2: makers like Kinix and sk gain as a result alex. 463 00:23:06,200 --> 00:23:09,879 Speaker 3: Now, increasingly leaders of AI companies are asking Congress to 464 00:23:09,960 --> 00:23:14,960 Speaker 3: establish safeguards to mitigate threats their technology poses, like open Ai, 465 00:23:15,080 --> 00:23:18,480 Speaker 3: CEO and many others. But what kinds of threats does 466 00:23:18,520 --> 00:23:22,800 Speaker 3: AI pose to society exactly? We'll bring in Sarakraft's, director 467 00:23:22,840 --> 00:23:26,040 Speaker 3: of the Technology Institute over at Cornell, a non resident 468 00:23:26,080 --> 00:23:28,679 Speaker 3: senior fellow at the Brookings Institute who recently wrote that 469 00:23:28,840 --> 00:23:32,520 Speaker 3: large language models quote may disrupt far more than just 470 00:23:32,560 --> 00:23:36,600 Speaker 3: the economy. They also appear poised to challenge democracy too. 471 00:23:37,240 --> 00:23:41,040 Speaker 3: Let's bring Sarah in for a deeper dive. Sarah, tell 472 00:23:41,080 --> 00:23:43,320 Speaker 3: me challenges to democracy? 473 00:23:43,600 --> 00:23:44,399 Speaker 4: What do you mean by that? 474 00:23:45,640 --> 00:23:48,160 Speaker 11: Yeah? Thanks, It's great to be here. So one other things. 475 00:23:48,200 --> 00:23:51,240 Speaker 12: So, I've been working with language models now for several years, 476 00:23:51,400 --> 00:23:55,159 Speaker 12: and the concern I had was that if looking at 477 00:23:55,200 --> 00:23:58,920 Speaker 12: twenty sixteen, there were bad actors that were trying to 478 00:23:58,960 --> 00:24:02,680 Speaker 12: insinuate themselves in the democratic process. What happens now when 479 00:24:02,840 --> 00:24:06,000 Speaker 12: these language models enter in and make it really easy 480 00:24:06,080 --> 00:24:09,960 Speaker 12: to generate a lot of content, credible content, really quickly. 481 00:24:10,560 --> 00:24:13,960 Speaker 12: So we wanted to map that terrain, and so we 482 00:24:14,119 --> 00:24:18,159 Speaker 12: did an experiment and randomly sent AI generated texts and 483 00:24:18,320 --> 00:24:23,520 Speaker 12: human generated texts to members of Congress the state legislatures 484 00:24:23,560 --> 00:24:26,200 Speaker 12: around the country. And we saw that members of Congress 485 00:24:26,200 --> 00:24:29,119 Speaker 12: cannot tell the difference. And anyone who's worked with CHAGBT 486 00:24:29,320 --> 00:24:31,159 Speaker 12: can see just how plausible. 487 00:24:30,720 --> 00:24:32,120 Speaker 11: Sounding this content is. 488 00:24:32,880 --> 00:24:35,399 Speaker 12: And so I think it's important for us to understand 489 00:24:35,480 --> 00:24:39,480 Speaker 12: the threat and by way of mitigating that threat. 490 00:24:39,480 --> 00:24:41,119 Speaker 11: And I think that's what we were trying to uncover 491 00:24:41,200 --> 00:24:42,000 Speaker 11: with this research. 492 00:24:42,880 --> 00:24:43,160 Speaker 7: Sarah. 493 00:24:43,160 --> 00:24:45,679 Speaker 3: When I think of where misinformation tiply lives, that's on 494 00:24:45,720 --> 00:24:50,080 Speaker 3: social media. So I have to ask AI companies. Folks 495 00:24:50,160 --> 00:24:52,520 Speaker 3: like Sam Altman are going to Congress saying hey, regulate 496 00:24:52,600 --> 00:24:55,600 Speaker 3: us social media companies. You've kind of heard the same tune. 497 00:24:55,920 --> 00:24:57,919 Speaker 3: Who do you think is actually where does the owners 498 00:24:57,920 --> 00:25:01,320 Speaker 3: fall in terms of who needs to intervene here and 499 00:25:01,400 --> 00:25:05,000 Speaker 3: make sure that AI misinformation and the impact on democracy 500 00:25:05,080 --> 00:25:07,520 Speaker 3: doesn't get out of control, right. 501 00:25:07,600 --> 00:25:10,679 Speaker 12: I think what we've seen with technology and regulation is 502 00:25:10,720 --> 00:25:12,720 Speaker 12: that off it it's very reactive at. 503 00:25:12,640 --> 00:25:14,560 Speaker 11: The federal level, and I think there are good reasons 504 00:25:14,560 --> 00:25:16,520 Speaker 11: for that. This technology is moving so quickly. 505 00:25:17,080 --> 00:25:20,600 Speaker 12: And by contrast, for example, the European Union is trying 506 00:25:20,600 --> 00:25:22,840 Speaker 12: to really lean into regulation, but I think there's a 507 00:25:22,880 --> 00:25:27,840 Speaker 12: real risk that they are going to pass this AI Act. 508 00:25:27,640 --> 00:25:30,120 Speaker 11: And it will come into force and already be obsolete. 509 00:25:30,320 --> 00:25:33,320 Speaker 12: So I think some of the onus actually is on 510 00:25:33,359 --> 00:25:36,080 Speaker 12: the firms, and open AI has done some of this by. 511 00:25:36,080 --> 00:25:39,360 Speaker 11: Making certain outputs not possible. 512 00:25:39,400 --> 00:25:41,800 Speaker 12: So anyone who's done certain types of trying to push 513 00:25:41,840 --> 00:25:45,520 Speaker 12: the boundaries on outputs might see that open AI. 514 00:25:45,480 --> 00:25:47,240 Speaker 11: Doesn't actually permit those. 515 00:25:47,320 --> 00:25:49,200 Speaker 12: So I think again this is a spirit of trying 516 00:25:49,200 --> 00:25:52,159 Speaker 12: to understand through the public and private partnerships, you know, 517 00:25:52,240 --> 00:25:56,159 Speaker 12: government and firms, kind of what that risk is, that 518 00:25:56,240 --> 00:26:00,960 Speaker 12: threat is, but also to try to think through anticipate is. 519 00:26:00,920 --> 00:26:04,200 Speaker 11: This a too early you know, to regulate or too late? 520 00:26:04,280 --> 00:26:06,560 Speaker 12: And I think we're still really trying to understand what 521 00:26:06,600 --> 00:26:10,840 Speaker 12: this technology is about, and so lurching into something at 522 00:26:10,880 --> 00:26:12,760 Speaker 12: the federal level might be a little premature. 523 00:26:13,320 --> 00:26:15,439 Speaker 2: So following on what you said, Sarah about the onus 524 00:26:15,480 --> 00:26:18,120 Speaker 2: falling on the firms, firms are made up of people, 525 00:26:18,320 --> 00:26:22,600 Speaker 2: so I wonder anytime there's a new leader in charge, 526 00:26:22,720 --> 00:26:26,160 Speaker 2: or they have someone else looking over regulation or their 527 00:26:26,160 --> 00:26:29,440 Speaker 2: policy side, whatever they propose could change as well. 528 00:26:29,800 --> 00:26:32,680 Speaker 4: How concerned are you about I guess. 529 00:26:32,600 --> 00:26:35,480 Speaker 2: The quality of people who are making these kinds of 530 00:26:35,480 --> 00:26:37,360 Speaker 2: decisions at these big firms. 531 00:26:38,080 --> 00:26:39,960 Speaker 12: Right, And this is the question is a great question 532 00:26:40,000 --> 00:26:42,280 Speaker 12: because we've been thinking about this for several years in 533 00:26:42,320 --> 00:26:47,199 Speaker 12: different contexts content moderation, when Facebook was under fire for 534 00:26:47,680 --> 00:26:50,239 Speaker 12: what they were permitting and not permitting. And it's a 535 00:26:50,280 --> 00:26:55,240 Speaker 12: real debate about kind of outsourcing the public market space, 536 00:26:55,440 --> 00:26:59,720 Speaker 12: marketplace of ideas, for example, to private firms. And again 537 00:26:59,800 --> 00:27:02,760 Speaker 12: that's something that I think in Europe they're less tolerant of, 538 00:27:02,840 --> 00:27:05,359 Speaker 12: and in the US I think for a good reason, 539 00:27:05,440 --> 00:27:08,119 Speaker 12: we're saying, let's let these firms innovate. But what we 540 00:27:08,200 --> 00:27:10,800 Speaker 12: need to be thinking through is just what guardrails do 541 00:27:10,840 --> 00:27:15,000 Speaker 12: we need in place to kind of guard against the 542 00:27:15,400 --> 00:27:18,920 Speaker 12: more extreme consequences of those technologies. 543 00:27:19,320 --> 00:27:21,360 Speaker 2: It's interesting that you said that Europe is already moving 544 00:27:21,400 --> 00:27:25,080 Speaker 2: ahead and perhaps whatever policy they institute might become obsolete quickly, 545 00:27:25,160 --> 00:27:28,080 Speaker 2: but because they are moving ahead, do they become do 546 00:27:28,119 --> 00:27:30,360 Speaker 2: they set the precedent that the USN needs to kind 547 00:27:30,359 --> 00:27:31,080 Speaker 2: of follow up with. 548 00:27:32,720 --> 00:27:34,960 Speaker 12: You know, if we look at previous technologies, I don't 549 00:27:35,040 --> 00:27:39,480 Speaker 12: think that we have. The US has fallen in lockstep 550 00:27:39,600 --> 00:27:42,400 Speaker 12: at all with Europe when it comes to big tech 551 00:27:42,440 --> 00:27:45,639 Speaker 12: and technology, and I think one reason is if you 552 00:27:45,680 --> 00:27:50,080 Speaker 12: look at where big tech resides, it's almost exclusively in 553 00:27:50,119 --> 00:27:53,120 Speaker 12: the United States, and so these things do become kind 554 00:27:53,160 --> 00:27:56,240 Speaker 12: of circular, which is Europe is more inclined to lean 555 00:27:56,320 --> 00:28:00,240 Speaker 12: into regulation in part because it's not harming their of 556 00:28:00,280 --> 00:28:03,439 Speaker 12: their firms, and the US maybe because it has not 557 00:28:03,560 --> 00:28:06,720 Speaker 12: leaned into regulation, has really I think fostered an environment 558 00:28:06,840 --> 00:28:11,600 Speaker 12: of innovation, and again kind of consequently, there are fewer 559 00:28:11,640 --> 00:28:13,679 Speaker 12: incentives for the US to be out in front. And 560 00:28:13,720 --> 00:28:16,480 Speaker 12: I think again, you know, when we look at where 561 00:28:16,600 --> 00:28:19,920 Speaker 12: there's an interesting story about Google's barred and they haven't 562 00:28:20,040 --> 00:28:22,080 Speaker 12: they released it in one hundred and eighty countries, but 563 00:28:22,240 --> 00:28:25,240 Speaker 12: not in Europe. And you know, when we look at 564 00:28:25,280 --> 00:28:30,480 Speaker 12: the history of big tech and legal you know, litigation, 565 00:28:31,080 --> 00:28:35,640 Speaker 12: big tech American companies have not always fared well in Europe, 566 00:28:35,680 --> 00:28:38,600 Speaker 12: and so I think there is some wariness of these 567 00:28:38,720 --> 00:28:41,920 Speaker 12: these you know, chat GPT, which was banned by the 568 00:28:41,960 --> 00:28:46,480 Speaker 12: banned by the Italian government. Other firms actually not only 569 00:28:46,560 --> 00:28:50,680 Speaker 12: not following an offset, but really trying quite apprehensive of 570 00:28:50,880 --> 00:28:54,200 Speaker 12: engaging in that sort of European regulatory space. 571 00:28:54,200 --> 00:28:55,480 Speaker 11: So I don't think the US will. 572 00:28:55,280 --> 00:28:57,960 Speaker 12: Go in that direction, not just because of what we're 573 00:28:57,960 --> 00:29:00,640 Speaker 12: seeing already, but what we've seen with other forms of 574 00:29:00,680 --> 00:29:02,160 Speaker 12: technology in the past. 575 00:29:02,600 --> 00:29:05,880 Speaker 3: Now, Sarah, you talk about the US being reactive when 576 00:29:05,880 --> 00:29:09,160 Speaker 3: it comes to regulation, we haven't seen any meaningful regulation 577 00:29:09,240 --> 00:29:11,520 Speaker 3: against raining and the power of big tach against reigning 578 00:29:11,520 --> 00:29:13,719 Speaker 3: and social media. What actually do you think needs to 579 00:29:13,800 --> 00:29:18,000 Speaker 3: happen for AI regulations to cross the line here in 580 00:29:18,040 --> 00:29:18,920 Speaker 3: the United States. 581 00:29:19,520 --> 00:29:22,680 Speaker 12: Yeah, it's a great question, because you know, again everything 582 00:29:22,760 --> 00:29:24,960 Speaker 12: is so reactive when we look back to the history 583 00:29:24,960 --> 00:29:28,400 Speaker 12: of arms control. No, there was some indication that we 584 00:29:28,440 --> 00:29:32,080 Speaker 12: should do arms control on nuclear weapons early, but really 585 00:29:32,120 --> 00:29:34,440 Speaker 12: it didn't happen until after the Cuban missile crazes and 586 00:29:34,960 --> 00:29:38,280 Speaker 12: you know, where the world almost blew up. And unfortunately, 587 00:29:38,320 --> 00:29:41,800 Speaker 12: I think that it takes kind of a real crisis, 588 00:29:41,880 --> 00:29:46,840 Speaker 12: existential crisis like that to happen before meaningful regulation can 589 00:29:46,880 --> 00:29:49,320 Speaker 12: take place, and I do think it raises this question 590 00:29:49,360 --> 00:29:52,720 Speaker 12: of is are we at that point where meaningful regulation 591 00:29:52,840 --> 00:29:55,000 Speaker 12: is needed? And I would submit that, you know, we 592 00:29:55,120 --> 00:29:59,320 Speaker 12: have some threats on the horizon, but because this technology 593 00:29:59,440 --> 00:30:01,800 Speaker 12: is evolving so quickly, and because frankly, I don't think 594 00:30:01,840 --> 00:30:05,880 Speaker 12: these existential risks have presented and are really even a 595 00:30:06,040 --> 00:30:07,360 Speaker 12: hypothetical risk. 596 00:30:07,200 --> 00:30:10,560 Speaker 11: I think it is a little too early. But frankly, 597 00:30:10,600 --> 00:30:13,040 Speaker 11: also we have to think about the political environment. 598 00:30:12,600 --> 00:30:16,840 Speaker 12: In Washington, which is not really conducive to doing anything 599 00:30:17,080 --> 00:30:21,200 Speaker 12: meaningful on really anything, because there might be an agreement 600 00:30:21,440 --> 00:30:24,160 Speaker 12: that something needs to be done, but disagreement. 601 00:30:23,600 --> 00:30:24,320 Speaker 11: On how to do it. 602 00:30:24,560 --> 00:30:26,560 Speaker 2: That seems to be the way of Washington. Sarah, I 603 00:30:26,600 --> 00:30:29,400 Speaker 2: really appreciate your joining us and sharing your insight. Sarah 604 00:30:29,440 --> 00:30:31,600 Speaker 2: Krepps is Professor of law and director of the Tech 605 00:30:31,640 --> 00:30:35,760 Speaker 2: Policy Institute at Cornell. Now coming up, there is more 606 00:30:35,800 --> 00:30:38,080 Speaker 2: on AI, this time from an investing perspective. We're going 607 00:30:38,120 --> 00:30:41,000 Speaker 2: to be joined by compounds of Michael Dempsey up next. 608 00:30:41,400 --> 00:30:43,840 Speaker 2: And in the meantime, keeping an eye on shares of PayPal, 609 00:30:43,920 --> 00:30:47,440 Speaker 2: which are popping today as Venmo introduces an account for 610 00:30:47,520 --> 00:30:50,240 Speaker 2: teenagers who are between thirteen to seventeen years old for 611 00:30:50,360 --> 00:30:53,320 Speaker 2: sending and receiving money. This feature will come with a 612 00:30:53,360 --> 00:30:56,280 Speaker 2: debit card and plans to roll over to select customers 613 00:30:56,440 --> 00:30:59,320 Speaker 2: starting next month. PayPal up by better than three percent, 614 00:31:00,320 --> 00:31:00,840 Speaker 2: is Bloomberg. 615 00:31:21,440 --> 00:31:24,479 Speaker 13: There are many companies that are going to struggle in 616 00:31:24,520 --> 00:31:28,200 Speaker 13: their transition to really deliver AI solutions at scale. 617 00:31:28,320 --> 00:31:31,000 Speaker 14: Consumers are really engaging with the AI in a way 618 00:31:31,040 --> 00:31:32,880 Speaker 14: that just seems so much more real and authentic than 619 00:31:32,880 --> 00:31:33,360 Speaker 14: they ever have. 620 00:31:33,720 --> 00:31:36,320 Speaker 13: I think the bigger opportunity actually lies in the enterprise. 621 00:31:36,720 --> 00:31:38,520 Speaker 4: I think AI is going to be deployed into every 622 00:31:38,560 --> 00:31:39,320 Speaker 4: facet of work. 623 00:31:39,400 --> 00:31:41,560 Speaker 13: I think we're at a moment here where there is 624 00:31:41,680 --> 00:31:44,640 Speaker 13: a tremendous advantage for US based companies. 625 00:31:44,720 --> 00:31:48,040 Speaker 8: I think on the application side, I think the Chinese 626 00:31:48,920 --> 00:31:51,680 Speaker 8: companies potentially can do really, really well. 627 00:31:51,800 --> 00:31:54,040 Speaker 2: I think we actually need to be going faster on 628 00:31:54,080 --> 00:31:55,320 Speaker 2: the regulatory front. 629 00:31:55,560 --> 00:31:58,440 Speaker 6: We are really thinking about generative AI as a tool 630 00:31:58,720 --> 00:31:59,280 Speaker 6: for good. 631 00:31:59,440 --> 00:32:04,080 Speaker 2: I do think that an opportunity for perhaps pro technology 632 00:32:04,120 --> 00:32:08,239 Speaker 2: policy making. And that was a compilation of what our 633 00:32:08,280 --> 00:32:11,640 Speaker 2: recent VC Spotlight guests are saying about AI investments here 634 00:32:11,760 --> 00:32:14,560 Speaker 2: and around the world. We're going to continue the conversation 635 00:32:14,640 --> 00:32:17,160 Speaker 2: now with Michael Dempsey. He is managing partner at Compound, 636 00:32:17,200 --> 00:32:20,640 Speaker 2: which is a thesis driven, research centric seed stage investment 637 00:32:20,680 --> 00:32:23,959 Speaker 2: firm that's focused on emerging technologies with more than two 638 00:32:24,040 --> 00:32:26,720 Speaker 2: hundred and twenty five million dollars in assets under management. 639 00:32:26,880 --> 00:32:28,920 Speaker 4: Michael, it's so good to speak with you. Thanks a 640 00:32:28,920 --> 00:32:29,760 Speaker 4: lot for joining us. 641 00:32:30,120 --> 00:32:32,360 Speaker 2: I guess I want to start with just the overall 642 00:32:32,360 --> 00:32:38,600 Speaker 2: state of AI, because from traditional market watcher's perspective, AI seems. 643 00:32:38,320 --> 00:32:38,960 Speaker 4: To be in a bubble. 644 00:32:39,080 --> 00:32:41,960 Speaker 2: Bank of America strategist Michael Hartnett says tech is forming 645 00:32:42,000 --> 00:32:44,600 Speaker 2: a bubble, and AI in particular, isn't a baby bubble 646 00:32:44,720 --> 00:32:47,240 Speaker 2: bubbill start with easy money, they end with rate hikes. 647 00:32:47,960 --> 00:32:49,080 Speaker 4: How much do you agree with that? 648 00:32:50,880 --> 00:32:52,760 Speaker 15: You know, I think in some ways I do agree 649 00:32:52,760 --> 00:32:55,320 Speaker 15: with it. I think that there's a kind of vacuum 650 00:32:55,320 --> 00:32:57,520 Speaker 15: of conviction and areas to spend time in on the 651 00:32:57,560 --> 00:33:00,160 Speaker 15: investor side today after kind of a very crazy the 652 00:33:00,200 --> 00:33:03,000 Speaker 15: past few years, and you know, things cycling in and 653 00:33:03,000 --> 00:33:05,920 Speaker 15: out of the zeitgeist, like crypto for an example. I 654 00:33:05,960 --> 00:33:08,160 Speaker 15: do think that, unlike a lot of prior areas, there 655 00:33:08,160 --> 00:33:10,600 Speaker 15: will be massive disruption and there is so much hard 656 00:33:10,760 --> 00:33:14,000 Speaker 15: y that can hop in with a ton of different industries, 657 00:33:14,240 --> 00:33:16,560 Speaker 15: and I think for the first time people can see 658 00:33:16,600 --> 00:33:18,280 Speaker 15: it and feel it in a way that is very 659 00:33:18,320 --> 00:33:20,600 Speaker 15: tangible to their day to day lives. And so that 660 00:33:20,640 --> 00:33:24,000 Speaker 15: creates some sort of compounding effect of the kind of 661 00:33:24,080 --> 00:33:26,560 Speaker 15: zeitgeist in the moment and how big it feels, because 662 00:33:26,560 --> 00:33:29,960 Speaker 15: at every dinner, at every interaction, someone is talking about AI, 663 00:33:30,160 --> 00:33:32,440 Speaker 15: someone's talking about the ethics of it, et cetera. 664 00:33:33,640 --> 00:33:35,840 Speaker 3: Michael I used to cover tech deals and some of 665 00:33:35,840 --> 00:33:38,680 Speaker 3: this vibe kind of throws me back to when Airbnb 666 00:33:38,960 --> 00:33:42,120 Speaker 3: Uber we're doing their massive funding grounds around some consumer 667 00:33:42,160 --> 00:33:44,120 Speaker 3: tech when they were still private. A lot of that 668 00:33:44,160 --> 00:33:46,840 Speaker 3: was driven by folks like yourself, but also bigger investors' 669 00:33:46,880 --> 00:33:50,120 Speaker 3: growth money, private equity firms piling in. Is that kind 670 00:33:50,160 --> 00:33:52,640 Speaker 3: of money already moving into this market? Do you think 671 00:33:52,680 --> 00:33:55,200 Speaker 3: that will fuel some of this potential for bubble that 672 00:33:55,240 --> 00:33:56,080 Speaker 3: you're talking about. 673 00:33:57,880 --> 00:33:58,480 Speaker 11: It's starting to. 674 00:33:58,880 --> 00:34:00,600 Speaker 15: I think more and more people are trying to figure 675 00:34:00,600 --> 00:34:03,640 Speaker 15: out what are the areas in which they can properly 676 00:34:03,680 --> 00:34:05,680 Speaker 15: deploy hundreds of millions of dollars. And you've see that 677 00:34:05,720 --> 00:34:08,320 Speaker 15: on the foundation model side of things. In the larger 678 00:34:08,360 --> 00:34:10,239 Speaker 15: AI labs, and I think you're going to start to 679 00:34:10,239 --> 00:34:12,759 Speaker 15: see it on the more application layer and middleware side 680 00:34:12,760 --> 00:34:15,640 Speaker 15: of things, and so it's it's definitely starting. We're seeing 681 00:34:15,680 --> 00:34:17,680 Speaker 15: it now with the full stack kind of larger scale 682 00:34:17,800 --> 00:34:20,720 Speaker 15: VC firms, some of the growth firms, and then obviously 683 00:34:20,760 --> 00:34:22,600 Speaker 15: on the hedge fund side, we're seeing on public markets 684 00:34:22,600 --> 00:34:24,759 Speaker 15: people are trying to figure out outside of Nvidia, what 685 00:34:24,800 --> 00:34:26,919 Speaker 15: are the plays that they should be having to get 686 00:34:26,920 --> 00:34:30,160 Speaker 15: exposure to things that feel quite asymmetric from an upside 687 00:34:30,200 --> 00:34:33,080 Speaker 15: perspective and just incredibly large scale if it does work, 688 00:34:33,120 --> 00:34:34,439 Speaker 15: which is kind of our job. 689 00:34:34,960 --> 00:34:35,240 Speaker 4: Michael. 690 00:34:35,239 --> 00:34:37,920 Speaker 2: I'm curious about your investment portfolio. How much of it 691 00:34:38,040 --> 00:34:40,799 Speaker 2: centers on AI? Is it less than half more than 692 00:34:40,840 --> 00:34:43,520 Speaker 2: two thirds? And when we talk about centered on AI, 693 00:34:43,840 --> 00:34:47,799 Speaker 2: are these companies that started with the goal of entering 694 00:34:47,880 --> 00:34:50,680 Speaker 2: and building out AI or have they pivoted to AI 695 00:34:51,200 --> 00:34:53,200 Speaker 2: and expanded to AI from where they started. 696 00:34:54,760 --> 00:34:54,960 Speaker 4: Yeah. 697 00:34:54,960 --> 00:34:56,880 Speaker 15: So we've been investing in AI or mL as we 698 00:34:56,960 --> 00:34:58,799 Speaker 15: used to call it, since twenty fourteen, and I think 699 00:34:59,360 --> 00:35:02,000 Speaker 15: probably about sixty percent of our portfolio falls within that 700 00:35:02,080 --> 00:35:04,960 Speaker 15: area now, and that's because AI moved from a very 701 00:35:05,000 --> 00:35:09,840 Speaker 15: kind of vertical specific misnomer too now being a horizontal platform, 702 00:35:09,880 --> 00:35:13,840 Speaker 15: and so everything from biology company is using AI to 703 00:35:13,960 --> 00:35:16,360 Speaker 15: kind of do more of a search and discover instead 704 00:35:16,360 --> 00:35:20,719 Speaker 15: of a random walk in discovery too. Core companies like Runway, Mlwave, 705 00:35:20,800 --> 00:35:23,360 Speaker 15: dot Ai that are doing kind of full stack building 706 00:35:23,400 --> 00:35:26,160 Speaker 15: their own models, using it in very unique ways. And 707 00:35:26,239 --> 00:35:29,080 Speaker 15: so I think for us, we ourselves as very AI 708 00:35:29,160 --> 00:35:31,600 Speaker 15: native investors and think that most of how we like 709 00:35:31,640 --> 00:35:34,719 Speaker 15: to invest is companies that either have a unique take 710 00:35:34,760 --> 00:35:36,920 Speaker 15: on product as it's enabled by the bleeding edge of 711 00:35:37,080 --> 00:35:39,520 Speaker 15: AI or our building and kind of pushing that bleeding 712 00:35:39,600 --> 00:35:40,800 Speaker 15: edge into their core category. 713 00:35:41,920 --> 00:35:45,840 Speaker 3: Let's talk regulatory risk or appetite for regulation from some 714 00:35:45,920 --> 00:35:47,040 Speaker 3: of your portfolio companies. 715 00:35:47,239 --> 00:35:49,120 Speaker 4: Which side of that debate are you falling on? 716 00:35:49,200 --> 00:35:51,359 Speaker 3: Where do you think in the US, in particular, our 717 00:35:51,400 --> 00:35:54,640 Speaker 3: government should be getting in and kind of laying out 718 00:35:54,760 --> 00:35:57,680 Speaker 3: the guard rails for what this industry's impact could be 719 00:35:57,800 --> 00:36:01,160 Speaker 3: on consumers, on businesses and tech writ large. 720 00:36:02,600 --> 00:36:04,680 Speaker 15: Yeah, so I watched the entire hearing last week, and 721 00:36:04,800 --> 00:36:08,000 Speaker 15: I think generally everyone did a really incredible job. Sam 722 00:36:08,000 --> 00:36:10,680 Speaker 15: obviously is what who got the most praise for his 723 00:36:10,719 --> 00:36:13,560 Speaker 15: embrace of regulation. I think he made a very strong 724 00:36:13,560 --> 00:36:15,319 Speaker 15: point which I agree with which is that on the 725 00:36:15,320 --> 00:36:17,879 Speaker 15: startup side and really even the mid sized company side, 726 00:36:17,920 --> 00:36:20,360 Speaker 15: I don't think regulation should come into. 727 00:36:20,160 --> 00:36:21,319 Speaker 11: Play just yet. 728 00:36:21,480 --> 00:36:23,800 Speaker 15: I think there's all sorts of ethical dilemmas to discuss 729 00:36:23,840 --> 00:36:26,000 Speaker 15: around how to use different types of training data, what 730 00:36:26,080 --> 00:36:28,200 Speaker 15: data you can train on, how do you get opt in, etc. 731 00:36:28,840 --> 00:36:30,799 Speaker 15: But I think a lot of our companies are taking 732 00:36:30,800 --> 00:36:33,560 Speaker 15: an approach of making sure they're doing things responsibly and 733 00:36:33,560 --> 00:36:36,759 Speaker 15: making sure that they're doing things transparently, and I think 734 00:36:36,880 --> 00:36:40,319 Speaker 15: it's a little too early to be trying to put 735 00:36:40,360 --> 00:36:43,719 Speaker 15: into effect things that could hamstering development, especially in the 736 00:36:43,800 --> 00:36:45,879 Speaker 15: United States, because I do think this is some form 737 00:36:45,920 --> 00:36:48,200 Speaker 15: of an existential technology and we want to make sure 738 00:36:48,200 --> 00:36:50,719 Speaker 15: we're continually pushing the frontier of that. And while there 739 00:36:50,719 --> 00:36:53,520 Speaker 15: are certain areas like these large models and kind of 740 00:36:53,520 --> 00:36:56,799 Speaker 15: frontier models that could have regulation at the compute layer, 741 00:36:57,080 --> 00:36:58,799 Speaker 15: I think more and more as people start to get 742 00:36:58,800 --> 00:37:01,759 Speaker 15: better at miniaturizing model doing things locally, it's going to 743 00:37:01,760 --> 00:37:04,520 Speaker 15: become really difficult. And I'm not sure on the government 744 00:37:04,560 --> 00:37:07,080 Speaker 15: side we yet have an understanding or a group of 745 00:37:07,080 --> 00:37:10,680 Speaker 15: people with enough understanding to properly regulate something that is 746 00:37:10,719 --> 00:37:14,560 Speaker 15: so important and honestly is moving so quickly. 747 00:37:15,160 --> 00:37:18,080 Speaker 2: Our previous guest, Sarahcrafts of the Cornell Tech Policy Institute, 748 00:37:18,200 --> 00:37:20,719 Speaker 2: was just saying that the owners really falls on the 749 00:37:20,719 --> 00:37:24,439 Speaker 2: firms themselves to propose regulation or to try to set 750 00:37:24,480 --> 00:37:26,560 Speaker 2: up their own guardrails to that end. 751 00:37:27,120 --> 00:37:28,919 Speaker 4: Is there anyone that you've. 752 00:37:28,719 --> 00:37:31,520 Speaker 2: Encountered, that you've engaged with who you believe is a 753 00:37:31,600 --> 00:37:34,480 Speaker 2: leader in thinking through some of these issues that you 754 00:37:34,520 --> 00:37:38,479 Speaker 2: think people need to be paying attention to. 755 00:37:38,480 --> 00:37:39,959 Speaker 15: To be honest, I think it's most of the people 756 00:37:39,960 --> 00:37:43,560 Speaker 15: who are running thee these large labs, whether it's kind 757 00:37:43,600 --> 00:37:46,160 Speaker 15: of people like Sam, I think Gary marcusly it's some 758 00:37:46,239 --> 00:37:48,320 Speaker 15: really good points. As a professor in the hearing, I 759 00:37:48,360 --> 00:37:51,720 Speaker 15: think there are people that are trying to take ethical approaches. 760 00:37:51,719 --> 00:37:53,600 Speaker 15: The teament Runway cares a lot about making sure they 761 00:37:53,640 --> 00:37:57,520 Speaker 15: work with creators. But I think to Sam's point, these 762 00:37:57,520 --> 00:38:00,640 Speaker 15: people have day jobs that are probably the most exciting 763 00:38:00,680 --> 00:38:03,160 Speaker 15: they've ever been and something they view as kind of 764 00:38:03,160 --> 00:38:05,120 Speaker 15: their life's work. So I do think it's hard. I 765 00:38:05,160 --> 00:38:08,400 Speaker 15: think more and more as more people who have been 766 00:38:08,440 --> 00:38:11,120 Speaker 15: at large organizations and scene regulation and other lines of 767 00:38:11,200 --> 00:38:14,480 Speaker 15: technology start to really dig in to AI, we will 768 00:38:14,560 --> 00:38:17,200 Speaker 15: start to have people rise naturally. But to be honest, 769 00:38:17,280 --> 00:38:18,840 Speaker 15: right now, most of the people are those who have 770 00:38:18,960 --> 00:38:21,959 Speaker 15: the depth of understanding of knowing how quickly this moves 771 00:38:21,960 --> 00:38:23,839 Speaker 15: in the scale at which it's moving, and those people 772 00:38:23,880 --> 00:38:25,040 Speaker 15: are building right now. 773 00:38:25,320 --> 00:38:28,000 Speaker 2: All right, Michael Dempsey, managing partner at Compound, thank you 774 00:38:28,040 --> 00:38:29,840 Speaker 2: so much for giving us your perspective. 775 00:38:38,000 --> 00:38:41,239 Speaker 3: SpaceX launched four private astronauts and route to the International 776 00:38:41,239 --> 00:38:44,360 Speaker 3: Space Station, including the first woman from Saudi Arabia to 777 00:38:44,400 --> 00:38:46,920 Speaker 3: travel to space. That crew lifted off a top of 778 00:38:47,000 --> 00:38:49,960 Speaker 3: Falcon nine rocket Sunday evening from the Kennedy Space Center 779 00:38:50,000 --> 00:38:53,200 Speaker 3: in Florida. That mission, operated by Axiom Space, is the 780 00:38:53,280 --> 00:38:56,680 Speaker 3: second of four human space flight launches that SpaceX is 781 00:38:56,680 --> 00:38:57,920 Speaker 3: set to handle for the company. 782 00:38:58,280 --> 00:38:59,680 Speaker 4: Axium has plans to build its. 783 00:38:59,520 --> 00:39:02,240 Speaker 7: Own space station in the future. 784 00:39:03,320 --> 00:39:06,640 Speaker 3: Now, Apple is just a few weeks away from debuting 785 00:39:06,719 --> 00:39:10,440 Speaker 3: its mixed reality headset. Bloomberg's Mark German has been following 786 00:39:10,440 --> 00:39:14,320 Speaker 3: the project incredibly closely, and he joins us now for more, Mark, 787 00:39:14,640 --> 00:39:16,520 Speaker 3: what do we need to know about what's coming. 788 00:39:16,520 --> 00:39:17,760 Speaker 4: We've heard about this for a minute. 789 00:39:18,040 --> 00:39:20,240 Speaker 7: Give us the top deal on this headset. 790 00:39:21,040 --> 00:39:22,600 Speaker 14: Yeah, thank you so much for having me. Yeah, it's 791 00:39:22,640 --> 00:39:25,640 Speaker 14: definitely been a minute. So we're actually right now two 792 00:39:25,640 --> 00:39:30,680 Speaker 14: weeks away, two weeks and five minutes away, I should say, 793 00:39:31,400 --> 00:39:34,360 Speaker 14: from that headsets launch event, this is going to be 794 00:39:34,400 --> 00:39:38,200 Speaker 14: Apple's first feature new product in eight years, right, since 795 00:39:38,239 --> 00:39:41,520 Speaker 14: the original Apple Watch was introduced and went on sale 796 00:39:41,560 --> 00:39:44,760 Speaker 14: in twenty fifteen. This is going to be a really 797 00:39:44,760 --> 00:39:48,440 Speaker 14: interesting test case for Apple, right. You know, Apple didn't 798 00:39:48,480 --> 00:39:52,720 Speaker 14: necessarily create the MP three player markets, the smartphone markets, 799 00:39:52,760 --> 00:39:55,439 Speaker 14: the tablet markets, but there was a sense that those 800 00:39:55,480 --> 00:39:58,200 Speaker 14: areas were soon about to take off and explode. 801 00:39:58,280 --> 00:39:58,440 Speaker 3: Right. 802 00:39:59,000 --> 00:40:00,600 Speaker 4: Mixed reality is a little bit different. 803 00:40:00,920 --> 00:40:02,680 Speaker 14: Apple is really going to have to come in here 804 00:40:02,719 --> 00:40:04,680 Speaker 14: and maybe define this market. 805 00:40:04,760 --> 00:40:08,840 Speaker 4: Right, Meta is there. HTC is a big player Sony, 806 00:40:09,280 --> 00:40:10,560 Speaker 4: but it's super nascent. 807 00:40:10,640 --> 00:40:13,799 Speaker 14: We're talking, you know, fewer than ten million units of 808 00:40:13,800 --> 00:40:16,520 Speaker 14: these devices going on sale are being sold on an 809 00:40:16,440 --> 00:40:18,920 Speaker 14: annual basis right now, Right, So Apple's going to have 810 00:40:18,960 --> 00:40:20,600 Speaker 14: to come in here and shake it up from the 811 00:40:20,719 --> 00:40:23,319 Speaker 14: very bottom. And they're coming in with a device that's 812 00:40:23,320 --> 00:40:26,080 Speaker 14: a little bit experimental. It's going to be very expensive 813 00:40:26,680 --> 00:40:29,560 Speaker 14: anywhere between I'm told twenty eight hundred dollars and thirty 814 00:40:29,560 --> 00:40:32,480 Speaker 14: two hundred dollars, right, It's going to have some pretty 815 00:40:32,480 --> 00:40:36,399 Speaker 14: intense technology, over a dozen censors on the outside. You'll 816 00:40:36,400 --> 00:40:39,440 Speaker 14: control it with your eyes and hands. You'll use it 817 00:40:39,480 --> 00:40:44,040 Speaker 14: for virtual reality, FaceTime and productivity. Very interesting to see 818 00:40:44,040 --> 00:40:47,120 Speaker 14: how Apple positions it. I'm told they're going to push 819 00:40:47,160 --> 00:40:49,239 Speaker 14: it towards creatives if people want to use it for 820 00:40:49,280 --> 00:40:54,000 Speaker 14: productivity as the future of the computer. I definitely think 821 00:40:54,040 --> 00:40:57,279 Speaker 14: this is going to be exciting for consumers, but there's 822 00:40:57,320 --> 00:40:59,719 Speaker 14: a very big risk here for the company, right I 823 00:40:59,760 --> 00:41:02,320 Speaker 14: think it's either going to be a huge flop or 824 00:41:02,400 --> 00:41:06,279 Speaker 14: a huge success, and for Apple, there's really nothing in between. 825 00:41:07,080 --> 00:41:10,000 Speaker 3: Quite the binary call there from our very own Mark German, 826 00:41:10,080 --> 00:41:12,680 Speaker 3: thank you for joining us on Apple and their headsets. 827 00:41:13,120 --> 00:41:16,759 Speaker 3: And that does it for this edition of Bloomberg Technology. 828 00:41:17,040 --> 00:41:18,919 Speaker 3: Make sure to tune in tomorrow as our very own 829 00:41:19,000 --> 00:41:21,760 Speaker 3: Caroline Heights is down for an exclusive interview with TikTok 830 00:41:21,840 --> 00:41:25,560 Speaker 3: CEO show Chow that comes from the Qatar Economic Forum. 831 00:41:25,800 --> 00:41:26,440 Speaker 4: You won't want to. 832 00:41:26,360 --> 00:41:28,600 Speaker 7: Miss it, and don't forget to check out our podcast. 833 00:41:28,640 --> 00:41:30,960 Speaker 7: You can find it on the terminal as well as online. 834 00:41:31,280 --> 00:41:32,560 Speaker 4: This is Bloomberg