1 00:00:02,520 --> 00:00:07,000 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:07,840 --> 00:00:10,520 Speaker 2: Yeah, this is difficult and worse some analysis. So two 3 00:00:10,560 --> 00:00:12,879 Speaker 2: of the big movies to the downside within the technology 4 00:00:12,920 --> 00:00:16,120 Speaker 2: sector are Alphabet, the parent of Google, and Meta. Meta 5 00:00:16,160 --> 00:00:19,720 Speaker 2: having its worst day since the end of October. October 6 00:00:19,760 --> 00:00:22,720 Speaker 2: of twenty twenty five last year. The morning started with 7 00:00:22,800 --> 00:00:26,120 Speaker 2: mag seven under pressure because of the belief by the 8 00:00:26,120 --> 00:00:28,479 Speaker 2: market that the war in Iram will be prolonged. But 9 00:00:28,520 --> 00:00:31,040 Speaker 2: there was a big piece of news in the last 10 00:00:31,040 --> 00:00:34,959 Speaker 2: twenty four hours, a jury verdict finding Meta and Google 11 00:00:35,360 --> 00:00:39,720 Speaker 2: liable for harming a young social media user with products 12 00:00:39,760 --> 00:00:44,120 Speaker 2: that the court decided were deliberately or negligently designed to 13 00:00:44,159 --> 00:00:48,480 Speaker 2: be addictive. This was the first social media addiction trial. 14 00:00:48,560 --> 00:00:51,680 Speaker 2: Let's bring in bloombogs legal reporter Madlan Meckelberg, who was 15 00:00:51,760 --> 00:00:54,560 Speaker 2: in the courtroom for that verdict, and let's start with 16 00:00:54,600 --> 00:00:58,920 Speaker 2: the very basics the jury decision, what that decision was 17 00:00:59,000 --> 00:01:01,760 Speaker 2: based on, predicated on, and we'll go from there. 18 00:01:01,880 --> 00:01:06,160 Speaker 3: Madelin Right, So, a jury in Los Angeles spent about 19 00:01:06,280 --> 00:01:10,520 Speaker 3: nine days deliberating on evidence that they heard over a 20 00:01:10,600 --> 00:01:15,080 Speaker 3: roughly four week trial. They heard from people including Meta 21 00:01:15,240 --> 00:01:20,200 Speaker 3: CEO Mark Zuckerberg, Instagram head Adam Aseri. But then they 22 00:01:20,240 --> 00:01:22,800 Speaker 3: also heard from people within the life of this young 23 00:01:22,840 --> 00:01:25,319 Speaker 3: woman who brought the suit, who were able to speak 24 00:01:25,319 --> 00:01:28,240 Speaker 3: about the harms and suffering that she experienced as a 25 00:01:28,280 --> 00:01:32,200 Speaker 3: result of using these platforms. But these cases, as you mentioned, 26 00:01:32,280 --> 00:01:36,119 Speaker 3: are about this claim, this central idea that these companies 27 00:01:36,360 --> 00:01:40,520 Speaker 3: knowingly and intentionally designed their platforms to be addicted and 28 00:01:40,600 --> 00:01:43,440 Speaker 3: should have known that they would cause farm to young users. 29 00:01:43,840 --> 00:01:48,120 Speaker 4: There in lies the crux Madeline, because before the arguments 30 00:01:48,120 --> 00:01:50,400 Speaker 4: have been about the content from what in many ways 31 00:01:50,400 --> 00:01:53,080 Speaker 4: they are shielded. But this is about how we are 32 00:01:53,160 --> 00:01:56,560 Speaker 4: served said content. More broadly, what is it that is 33 00:01:56,640 --> 00:02:00,880 Speaker 4: deemed to be harmful? And all we already expecting the 34 00:02:00,920 --> 00:02:03,600 Speaker 4: business model changes are going to be interpreted from this 35 00:02:03,720 --> 00:02:07,880 Speaker 4: because things have changed. Companies have responded to stain extent, 36 00:02:07,920 --> 00:02:10,800 Speaker 4: but they were deemed in many ways negligent because there 37 00:02:10,840 --> 00:02:12,959 Speaker 4: weren't warnings to younger people. 38 00:02:14,280 --> 00:02:14,520 Speaker 5: Right. 39 00:02:14,560 --> 00:02:16,680 Speaker 3: That's why you've heard this case be referred to as 40 00:02:16,680 --> 00:02:20,360 Speaker 3: a landmark case, because this really is a novel legal theory. 41 00:02:20,720 --> 00:02:24,200 Speaker 3: As you know, these companies have been shielded from immunity 42 00:02:24,240 --> 00:02:27,280 Speaker 3: from suits alleging harm by users due to content on 43 00:02:27,320 --> 00:02:30,720 Speaker 3: their platform. But this is about the design. So jurors 44 00:02:30,800 --> 00:02:34,120 Speaker 3: heard a lot about the algorithm itself, and then they 45 00:02:34,160 --> 00:02:37,480 Speaker 3: heard a lot about features that these companies use that 46 00:02:37,760 --> 00:02:40,480 Speaker 3: they had experts come in to say are designed to 47 00:02:40,480 --> 00:02:44,120 Speaker 3: be addictive. They called it addiction by design. That's being 48 00:02:44,120 --> 00:02:48,239 Speaker 3: peppered with notifications that endless scroll, being able to pick 49 00:02:48,280 --> 00:02:50,680 Speaker 3: up your phone and scroll to through the social media 50 00:02:50,720 --> 00:02:53,280 Speaker 3: feeds and not really reach an end of content. It's 51 00:02:53,320 --> 00:02:57,200 Speaker 3: about videos that automatically play once you finish watching one, 52 00:02:57,560 --> 00:03:00,280 Speaker 3: and so they say that all these features cumulatively are 53 00:03:00,280 --> 00:03:02,280 Speaker 3: designed to hook you and keep you on the platform 54 00:03:02,320 --> 00:03:06,160 Speaker 3: as long as possible, and that children are particularly susceptible 55 00:03:06,240 --> 00:03:07,359 Speaker 3: to those kind of features. 56 00:03:08,040 --> 00:03:10,280 Speaker 2: We just showed statements on the screen, But in summary, 57 00:03:10,480 --> 00:03:13,200 Speaker 2: both companies disagree with the verdict. Metas looking at its 58 00:03:13,240 --> 00:03:15,760 Speaker 2: legal options. Google plans to appeal, and as we said 59 00:03:15,760 --> 00:03:18,520 Speaker 2: at the start of the segment, both stocks are under pressure. 60 00:03:18,639 --> 00:03:20,760 Speaker 2: Later in the show, we'll get into the kind of 61 00:03:20,800 --> 00:03:23,320 Speaker 2: business and what the side and why the stocks under pressure. 62 00:03:23,440 --> 00:03:25,760 Speaker 2: But you set out that what happened Bluebags. Madeline Meckelberg, 63 00:03:25,800 --> 00:03:28,120 Speaker 2: who was in the courtroom in Los Angeles, thank you 64 00:03:28,400 --> 00:03:30,440 Speaker 2: joining us now with more on the implications of the 65 00:03:30,480 --> 00:03:33,720 Speaker 2: case is Eric Goldman, Associate Dean for Research at Santa 66 00:03:33,720 --> 00:03:38,119 Speaker 2: Clara University School of Law. And Eric, you've joined us 67 00:03:38,240 --> 00:03:42,000 Speaker 2: throughout this process. We now have a jury verdict. I 68 00:03:42,000 --> 00:03:45,280 Speaker 2: think to start just your response to the outcome of 69 00:03:45,320 --> 00:03:46,800 Speaker 2: this specific case. 70 00:03:48,400 --> 00:03:50,640 Speaker 6: The whole point of the jury trial is that we 71 00:03:50,720 --> 00:03:54,720 Speaker 6: needed an answer from average Americans about how they viewed 72 00:03:54,720 --> 00:03:58,520 Speaker 6: the culpability of social media services, and we got unanswered. 73 00:03:58,960 --> 00:04:01,680 Speaker 6: It's an answer that I think the defendants don't like. 74 00:04:02,080 --> 00:04:04,720 Speaker 6: The planners I think are happy with it, but it's 75 00:04:04,880 --> 00:04:07,360 Speaker 6: just one answer of what is expected to be multiple 76 00:04:07,400 --> 00:04:09,920 Speaker 6: answers coming from additional trials. 77 00:04:11,480 --> 00:04:14,800 Speaker 2: Again, the companies do not agree with the outcome. Google 78 00:04:14,920 --> 00:04:17,839 Speaker 2: plans to appeal. We know Meta is looking at his options. 79 00:04:18,160 --> 00:04:21,000 Speaker 2: One of the things that you're cited as looking at 80 00:04:21,520 --> 00:04:24,640 Speaker 2: is the level of damages awarded in this specific case. 81 00:04:24,680 --> 00:04:28,000 Speaker 2: And I think we discussed in prior conversations the context 82 00:04:28,080 --> 00:04:31,360 Speaker 2: that there are other legal proceedings going alongside this, in 83 00:04:31,440 --> 00:04:34,839 Speaker 2: parallel with this case. But why focusing on the damages? 84 00:04:34,880 --> 00:04:35,840 Speaker 2: Why is that important? 85 00:04:37,520 --> 00:04:40,200 Speaker 6: It allows the parties to start to estimate how much 86 00:04:40,279 --> 00:04:43,440 Speaker 6: money are we even talking about? And until we got 87 00:04:43,480 --> 00:04:47,359 Speaker 6: a data point like the jury verdict. Really the parties 88 00:04:47,400 --> 00:04:50,320 Speaker 6: couldn't even imagine any agreement. 89 00:04:50,360 --> 00:04:53,280 Speaker 5: They work so far apart. Now it can start to 90 00:04:53,320 --> 00:04:54,159 Speaker 5: quantify the number. 91 00:04:54,240 --> 00:04:57,160 Speaker 6: So if there's three thousand plaintiffs that are currently pending, 92 00:04:57,400 --> 00:05:00,880 Speaker 6: we're talking about roughly close to twenty billion dollar. Now 93 00:05:00,880 --> 00:05:03,400 Speaker 6: those are numbers that are huge, and yet there are 94 00:05:03,480 --> 00:05:06,240 Speaker 6: numbers that Google and Meta might think that they can afford. 95 00:05:06,560 --> 00:05:08,839 Speaker 6: So now that we know how much money might be 96 00:05:08,880 --> 00:05:12,160 Speaker 6: in play, there's new grounds for discussions about settlement. 97 00:05:13,120 --> 00:05:15,680 Speaker 4: It's not just the consumer protection angle though, but there's 98 00:05:15,680 --> 00:05:16,640 Speaker 4: also the public schools. 99 00:05:16,640 --> 00:05:17,719 Speaker 1: There's a states eric. 100 00:05:18,000 --> 00:05:19,880 Speaker 4: But I want to go to what happened earlier in 101 00:05:19,880 --> 00:05:22,320 Speaker 4: the week on Tuesday in New Mexico because actually a 102 00:05:22,400 --> 00:05:26,360 Speaker 4: much larger summer money was being demanded of Meta after 103 00:05:26,440 --> 00:05:28,839 Speaker 4: it was deemed not to have protected teenagers in that 104 00:05:28,880 --> 00:05:31,600 Speaker 4: particular state when it came to sexual predators. 105 00:05:31,800 --> 00:05:35,040 Speaker 1: Now, can you weave in that particular. 106 00:05:34,720 --> 00:05:37,560 Speaker 4: Legal strike on Meta and what that means more broadly 107 00:05:37,600 --> 00:05:40,040 Speaker 4: in this context, Yeah. 108 00:05:39,839 --> 00:05:43,080 Speaker 6: It's a reinforcement that again, a different jury was asked 109 00:05:43,320 --> 00:05:46,040 Speaker 6: essentially the same set of questions, how response on our 110 00:05:46,080 --> 00:05:49,640 Speaker 6: social media for the harms that their user suffer and 111 00:05:49,680 --> 00:05:52,599 Speaker 6: the jury came back with functionally the same answer. 112 00:05:53,000 --> 00:05:55,920 Speaker 5: Now, in that case, they were limited. 113 00:05:55,520 --> 00:05:57,880 Speaker 6: In in terms of how many damages they could assign 114 00:05:57,920 --> 00:06:02,200 Speaker 6: to any particular victim. Really know how that number might 115 00:06:02,240 --> 00:06:05,200 Speaker 6: have looked if a different set of legal theories were used. 116 00:06:05,760 --> 00:06:08,360 Speaker 6: But it is the sign that we have two juries 117 00:06:08,360 --> 00:06:12,280 Speaker 6: saying we will impose substantial damages on social media. 118 00:06:12,800 --> 00:06:14,919 Speaker 5: Those are two really key data points. 119 00:06:15,120 --> 00:06:19,039 Speaker 4: And Eric, of course, as we've mentioned, both companies disagree 120 00:06:19,480 --> 00:06:22,000 Speaker 4: and Google is coming out strongly saying you. 121 00:06:22,000 --> 00:06:23,679 Speaker 1: Misinterpret our very business model. 122 00:06:23,880 --> 00:06:28,440 Speaker 4: YouTube is not a social media platform, it's a streaming platform. 123 00:06:28,600 --> 00:06:33,160 Speaker 4: Whereas Meta is looking at its own arguments, but more broadly, 124 00:06:33,320 --> 00:06:35,760 Speaker 4: its argument has been there is so much more to 125 00:06:35,839 --> 00:06:40,320 Speaker 4: mental health than one particular platform, one particular app, And 126 00:06:40,640 --> 00:06:43,560 Speaker 4: they actually had some evidence from various doctors showing that 127 00:06:43,600 --> 00:06:47,080 Speaker 4: in some ways certain of these social media platforms offered. 128 00:06:46,760 --> 00:06:49,400 Speaker 1: Positive narratives to that. 129 00:06:49,680 --> 00:06:52,080 Speaker 4: It was indeed a woman called Kaylee we understand who 130 00:06:52,120 --> 00:06:55,440 Speaker 4: brought up the particular court case in this hearing. 131 00:06:55,880 --> 00:06:57,960 Speaker 1: Eric, what do you make of those arguments? 132 00:06:58,640 --> 00:07:02,360 Speaker 6: I think that it's we're so easy to focus on 133 00:07:02,400 --> 00:07:05,520 Speaker 6: the parties in the courtroom. We have Kayleie the victim 134 00:07:05,839 --> 00:07:08,880 Speaker 6: and telling her story, and we've got the social media 135 00:07:08,880 --> 00:07:12,080 Speaker 6: services telling their story. But there's a whole bunch of 136 00:07:12,120 --> 00:07:16,320 Speaker 6: other individuals who are affected by the discussions taking place 137 00:07:16,360 --> 00:07:19,960 Speaker 6: in that courtroom. There are many users who benefit extensively 138 00:07:20,000 --> 00:07:22,680 Speaker 6: from social media, who make it an intual part of 139 00:07:22,680 --> 00:07:24,840 Speaker 6: their day and often the best part of their day. 140 00:07:25,200 --> 00:07:27,880 Speaker 6: And if there were any changes in social media, either 141 00:07:27,960 --> 00:07:31,360 Speaker 6: due to the financial pressure or due to legal compulsion, 142 00:07:31,840 --> 00:07:36,120 Speaker 6: those benefits for those other users might reduce or go away. 143 00:07:36,640 --> 00:07:39,080 Speaker 5: And none of that was really relevant to the trial. 144 00:07:39,200 --> 00:07:41,280 Speaker 5: And as a result, there's a lot. 145 00:07:41,160 --> 00:07:42,920 Speaker 6: Of people who are going to be affected by these 146 00:07:43,040 --> 00:07:45,720 Speaker 6: cases who don't even have a voice in the proceedings. 147 00:07:46,400 --> 00:07:47,320 Speaker 1: Well said Eric Olman. 148 00:07:47,480 --> 00:07:50,720 Speaker 4: Appreciate you coming on Santa Clara University School of Law. 149 00:07:51,480 --> 00:07:52,400 Speaker 1: Really deep dive. 150 00:07:52,440 --> 00:07:55,000 Speaker 4: Then now coming up, we've got more on the wider 151 00:07:55,040 --> 00:07:57,880 Speaker 4: market implications to tech. After the landmark social media addiction 152 00:07:58,000 --> 00:08:02,040 Speaker 4: verdict against Meta and Google from New York and San 153 00:08:02,080 --> 00:08:04,040 Speaker 4: Francisco discipluembog Tech. 154 00:08:13,640 --> 00:08:14,960 Speaker 7: We're looking at Meta and Google. 155 00:08:15,000 --> 00:08:18,120 Speaker 2: Meta in particularly on track for its worst day since October. 156 00:08:18,440 --> 00:08:20,360 Speaker 2: The summary of the cell side is that there is 157 00:08:20,400 --> 00:08:23,760 Speaker 2: going to be an overhang on this name a headwind, 158 00:08:24,120 --> 00:08:28,120 Speaker 2: a risk relating to social media addiction because the Landmark 159 00:08:28,160 --> 00:08:31,760 Speaker 2: jury verdict holding Google Meta liable for harming a young 160 00:08:31,880 --> 00:08:35,720 Speaker 2: user is being compared to the groundbreaking cases that force 161 00:08:35,840 --> 00:08:39,120 Speaker 2: changes for Big Tobacco that could have an impact on 162 00:08:39,120 --> 00:08:41,160 Speaker 2: social media firms, advertising businesses. 163 00:08:41,320 --> 00:08:42,600 Speaker 7: Let's get out to bloemas Kirk. 164 00:08:42,480 --> 00:08:46,120 Speaker 2: Wagner, who leads our coverage of social media as an industry, 165 00:08:46,600 --> 00:08:48,960 Speaker 2: this is what you've been writing about, that Meta and 166 00:08:49,000 --> 00:08:52,160 Speaker 2: Google risk a Big Tobacco like response because of the 167 00:08:52,200 --> 00:08:55,359 Speaker 2: outcome of yesterday's trial. What's the reporting telling. 168 00:08:55,160 --> 00:08:58,880 Speaker 8: Us, Yeah, well, you know, the jury found that these 169 00:08:59,080 --> 00:09:02,200 Speaker 8: products can be a right. You think of other consumer 170 00:09:02,280 --> 00:09:04,520 Speaker 8: products over the years that have been found to be addicted, 171 00:09:04,559 --> 00:09:06,640 Speaker 8: Big tobacco is probably top of that list, and you 172 00:09:06,720 --> 00:09:09,360 Speaker 8: see the tarnish on an industry like that, and you 173 00:09:09,440 --> 00:09:11,800 Speaker 8: have to sort of think, is this the same kind 174 00:09:11,840 --> 00:09:14,120 Speaker 8: of thing that's going to be happening to the social 175 00:09:14,280 --> 00:09:17,160 Speaker 8: media platforms. You know, Eric was just talking with you 176 00:09:17,160 --> 00:09:19,400 Speaker 8: guys in the last segment about the fact that there 177 00:09:19,400 --> 00:09:22,319 Speaker 8: are thousands of other cases looming with similar arguments. This 178 00:09:22,480 --> 00:09:25,560 Speaker 8: is just the first. Obviously each case is different, but 179 00:09:25,640 --> 00:09:27,720 Speaker 8: if you sort of look at what's happened this week 180 00:09:27,760 --> 00:09:30,720 Speaker 8: between New Mexico and the trial in LA and say, okay, 181 00:09:30,800 --> 00:09:34,120 Speaker 8: juries are buying this argument. Juries are believing that these 182 00:09:34,600 --> 00:09:37,679 Speaker 8: companies and platforms are responsible. And you extrapolate that out 183 00:09:37,840 --> 00:09:40,120 Speaker 8: thousands of times over the next couple of years, you 184 00:09:40,160 --> 00:09:42,480 Speaker 8: suddenly are looking at a very different industry with a 185 00:09:42,559 --> 00:09:43,480 Speaker 8: very different reputation. 186 00:09:44,120 --> 00:09:47,160 Speaker 4: And Kurt, this comes with the current context that already 187 00:09:47,200 --> 00:09:50,400 Speaker 4: the landscape has shifted. Australia has a ban on sixteens 188 00:09:50,400 --> 00:09:53,560 Speaker 4: anunder we're looking at as you're replicating, Europe is discussing, 189 00:09:53,559 --> 00:09:56,800 Speaker 4: even California thinking about it. And at the same time, 190 00:09:57,000 --> 00:10:00,080 Speaker 4: we've actually seen the companies try to respond with changes, 191 00:10:00,400 --> 00:10:03,040 Speaker 4: and we're certainly telling us about the changes and the 192 00:10:03,080 --> 00:10:04,839 Speaker 4: protections that certain parents and kids have. 193 00:10:05,360 --> 00:10:07,199 Speaker 1: Will business models have to change? 194 00:10:08,360 --> 00:10:11,440 Speaker 8: I think that's the ultimate question, because if they just 195 00:10:11,480 --> 00:10:14,199 Speaker 8: simply have to write a check and this problem goes away, 196 00:10:14,840 --> 00:10:18,080 Speaker 8: what's the incentive. These are trillion dollar companies. They're not 197 00:10:18,320 --> 00:10:21,280 Speaker 8: going to clock at writing a six million dollar check. 198 00:10:22,040 --> 00:10:26,960 Speaker 8: If Congress, especially in the US, sees these types of trials, 199 00:10:26,960 --> 00:10:30,000 Speaker 8: sees these verdicts, sees the momentum that's being built around 200 00:10:30,000 --> 00:10:33,480 Speaker 8: the child's safety sort of movement here and says, hey, look, 201 00:10:33,480 --> 00:10:35,400 Speaker 8: this is sort of what we've been talking about but 202 00:10:35,440 --> 00:10:36,160 Speaker 8: been dragging. 203 00:10:35,920 --> 00:10:36,360 Speaker 7: Our feet on. 204 00:10:36,640 --> 00:10:39,040 Speaker 8: We're going to pass a law that changes some of 205 00:10:39,080 --> 00:10:41,640 Speaker 8: these features and forces the companies to change their products. 206 00:10:41,640 --> 00:10:44,640 Speaker 8: Now it gets really interesting because if these companies can't 207 00:10:44,679 --> 00:10:46,679 Speaker 8: get people to come, spend as much time, spend as 208 00:10:46,760 --> 00:10:49,760 Speaker 8: much time scrolling, obviously that's going to affect, you know, 209 00:10:49,880 --> 00:10:51,560 Speaker 8: how much money they can make from revenue. These are 210 00:10:51,559 --> 00:10:54,800 Speaker 8: attention based businesses and so anytime the attention is not 211 00:10:54,880 --> 00:10:56,520 Speaker 8: on them, it could hurt. 212 00:10:57,880 --> 00:11:00,040 Speaker 2: In the report that you did with Alex on the 213 00:11:00,120 --> 00:11:03,640 Speaker 2: possible product changes, what are they? And they're you know, 214 00:11:03,760 --> 00:11:06,840 Speaker 2: part of those that are taking legal action against the companies. 215 00:11:07,000 --> 00:11:10,240 Speaker 2: They are pushing for specific changes or features on those platforms. 216 00:11:10,280 --> 00:11:11,040 Speaker 7: And what are they. 217 00:11:11,880 --> 00:11:14,480 Speaker 8: So the individual plaintiffs, like what we saw this week 218 00:11:14,720 --> 00:11:17,480 Speaker 8: in LA, those are personal injury cases. They're not seeking 219 00:11:17,640 --> 00:11:20,040 Speaker 8: changes to the product. But the school districts that are 220 00:11:20,080 --> 00:11:24,120 Speaker 8: suing these platforms are seeking changes. I spoke to one 221 00:11:24,160 --> 00:11:26,640 Speaker 8: of the lead lawyers who's going to be representing the 222 00:11:26,640 --> 00:11:30,040 Speaker 8: school district yesterday. She talked about notifications as being a 223 00:11:30,040 --> 00:11:33,240 Speaker 8: big one, right, bringing people and sometimes in the middle 224 00:11:33,240 --> 00:11:35,080 Speaker 8: of the night, to open up their phone and go 225 00:11:35,120 --> 00:11:35,760 Speaker 8: on these services. 226 00:11:35,840 --> 00:11:37,280 Speaker 7: She talked about parental controls. 227 00:11:37,520 --> 00:11:40,280 Speaker 8: Age verification is a big one, making sure that young 228 00:11:40,400 --> 00:11:42,400 Speaker 8: kids that aren't supposed to be on these services are 229 00:11:42,400 --> 00:11:44,319 Speaker 8: not on them. So those are the types of things 230 00:11:44,400 --> 00:11:47,000 Speaker 8: they're going to be pushing for, and you know, those 231 00:11:47,040 --> 00:11:49,560 Speaker 8: also aligned with what we see members of Congress talk about. 232 00:11:49,640 --> 00:11:52,040 Speaker 8: They just haven't really gotten anything over the line in 233 00:11:52,080 --> 00:11:52,760 Speaker 8: terms of a law. 234 00:11:52,800 --> 00:11:55,840 Speaker 4: Here, I most Kat Wagner, who's been across this story. 235 00:11:56,160 --> 00:11:57,160 Speaker 1: We thank you so much. 236 00:11:57,400 --> 00:11:59,960 Speaker 4: Let's get more of what this means for the business model, 237 00:12:00,040 --> 00:12:02,920 Speaker 4: what means in the market. Minusmiley senior analysts covering social 238 00:12:03,000 --> 00:12:05,640 Speaker 4: media and E Marketer, it joins us. Now, minda, do 239 00:12:05,679 --> 00:12:10,040 Speaker 4: you anticipate significant changes to revenue these companies off the 240 00:12:10,040 --> 00:12:11,480 Speaker 4: back of these landmark cases? 241 00:12:12,920 --> 00:12:14,720 Speaker 9: Yeah, I mean, I don't think we're going to see 242 00:12:14,800 --> 00:12:18,680 Speaker 9: any big changes happen overnight, right. I think I'm going 243 00:12:18,760 --> 00:12:20,840 Speaker 9: to I'm going to draw a pairallel of TikTok here. 244 00:12:20,880 --> 00:12:23,480 Speaker 9: You know, whenever we saw a lot of uncertainty around 245 00:12:23,760 --> 00:12:26,679 Speaker 9: the bin and we didn't know exactly what was going 246 00:12:26,720 --> 00:12:28,800 Speaker 9: to happen to the app in the US, we actually 247 00:12:28,800 --> 00:12:31,319 Speaker 9: didn't really see a lot of advertiser pullback or even 248 00:12:31,400 --> 00:12:34,120 Speaker 9: user pullback. So you know, that's all to say that, 249 00:12:34,200 --> 00:12:36,760 Speaker 9: I think in these moments that are very you know, 250 00:12:36,840 --> 00:12:40,680 Speaker 9: headline grabbing and whatnot, even though they are big news, 251 00:12:40,679 --> 00:12:43,760 Speaker 9: it doesn't necessarily mean that we're actually seeing marketers pull 252 00:12:43,760 --> 00:12:46,440 Speaker 9: back quoite yet users pull back quite yet. Now that's 253 00:12:46,440 --> 00:12:49,280 Speaker 9: not to say that in the long run that you 254 00:12:49,280 --> 00:12:52,360 Speaker 9: know that that won't change. I think, ultimately, as Kurt 255 00:12:52,440 --> 00:12:55,079 Speaker 9: was saying, if we do see these products or these 256 00:12:55,120 --> 00:12:57,719 Speaker 9: apps and these platforms significantly change in terms of how 257 00:12:57,720 --> 00:13:00,000 Speaker 9: people can use them, what features are on them, then yeah, 258 00:13:00,280 --> 00:13:03,760 Speaker 9: that's the moment I think we would definitely see see 259 00:13:03,960 --> 00:13:07,679 Speaker 9: a larger pullback from marketers and users and men. 260 00:13:08,360 --> 00:13:10,760 Speaker 4: Is so interesting that, of course you reference TikTok, because 261 00:13:10,880 --> 00:13:13,720 Speaker 4: we should remind the audience that TikTok and Snap settled 262 00:13:13,880 --> 00:13:17,199 Speaker 4: ahead of this trial, But they too are implicated in 263 00:13:17,240 --> 00:13:19,600 Speaker 4: a lot of the other cases. And this isn't just 264 00:13:19,679 --> 00:13:22,200 Speaker 4: a meta and a Google issue or broadly, so how 265 00:13:22,240 --> 00:13:23,839 Speaker 4: far and wide could this not be cast? 266 00:13:25,080 --> 00:13:27,160 Speaker 9: Yeah, it's a great question. I mean, obviously, in this 267 00:13:27,240 --> 00:13:29,720 Speaker 9: exact case. Like you said, it was just meta and YouTube. 268 00:13:29,760 --> 00:13:33,200 Speaker 9: But this is just the very beginning, and I think 269 00:13:33,520 --> 00:13:35,920 Speaker 9: ultimately we could see a world where yeah, all of 270 00:13:35,960 --> 00:13:39,520 Speaker 9: the major all of the major social network Snapchat, Instagram, Facebook, 271 00:13:39,720 --> 00:13:42,199 Speaker 9: you know, are the ones that continually come up in 272 00:13:42,240 --> 00:13:44,479 Speaker 9: these conversations could be implicated. 273 00:13:45,400 --> 00:13:47,000 Speaker 2: I mean, there's i thing I think that you guys 274 00:13:47,000 --> 00:13:53,199 Speaker 2: at e Marketer recognize is that away from that specific case, broadly, 275 00:13:53,240 --> 00:13:57,640 Speaker 2: the social media industry is facing change. Young people and 276 00:13:57,920 --> 00:14:01,680 Speaker 2: I don't use that term to aldi or lightly don't 277 00:14:01,720 --> 00:14:05,439 Speaker 2: consume as much or spend as much time on social media. 278 00:14:05,520 --> 00:14:09,480 Speaker 2: That's a kind of conscious thing. Equally, you know, the 279 00:14:09,600 --> 00:14:11,800 Speaker 2: landscape is a battle for ibles. You know, you have 280 00:14:11,840 --> 00:14:15,600 Speaker 2: a choice of where you spend your screen time. Where 281 00:14:15,600 --> 00:14:18,000 Speaker 2: does best factor into that broader landscape. 282 00:14:19,240 --> 00:14:21,240 Speaker 9: Yeah, it's a great question to me that That's something 283 00:14:21,240 --> 00:14:23,160 Speaker 9: I've been talking about a lot lately, is that none 284 00:14:23,200 --> 00:14:26,200 Speaker 9: of this is happening in a silo. I mean, these 285 00:14:26,320 --> 00:14:30,520 Speaker 9: verdicts are our landmark cases for sure, but we are 286 00:14:30,560 --> 00:14:33,520 Speaker 9: seeing just generally, social behaviors evolve and shift as they 287 00:14:33,560 --> 00:14:36,280 Speaker 9: always do. I mean, we are seeing time spent on 288 00:14:36,320 --> 00:14:38,280 Speaker 9: social media in the US kind of hit a wall. 289 00:14:38,520 --> 00:14:40,920 Speaker 9: To be clear, if people still spend incredible amounts of 290 00:14:40,960 --> 00:14:43,840 Speaker 9: time on these platforms, which is why these cases are 291 00:14:43,880 --> 00:14:46,160 Speaker 9: happening in the first place, but we are kind of seeing, 292 00:14:46,360 --> 00:14:48,560 Speaker 9: you know, that major growth that it's been happening for 293 00:14:48,960 --> 00:14:50,880 Speaker 9: years now it's starting to hit a wall. And we 294 00:14:51,000 --> 00:14:54,880 Speaker 9: also are seeing the beginnings of sort of a backlash 295 00:14:54,880 --> 00:14:58,160 Speaker 9: to social media, especially among younger people who are really 296 00:14:58,200 --> 00:15:00,600 Speaker 9: you know, they kind of know that they they are 297 00:15:00,640 --> 00:15:03,000 Speaker 9: addicted to these platforms, and yet they also want to 298 00:15:03,000 --> 00:15:05,760 Speaker 9: get off of them. They feel quite disillusioned by them. 299 00:15:06,480 --> 00:15:08,640 Speaker 9: There is this push to be more mindful of how 300 00:15:08,720 --> 00:15:11,240 Speaker 9: much time you're spending on social media. That's why we're 301 00:15:11,240 --> 00:15:14,880 Speaker 9: seeing companies like Brick come up and just this push 302 00:15:14,920 --> 00:15:17,200 Speaker 9: to really get off of screens in general and get offline. 303 00:15:17,200 --> 00:15:20,240 Speaker 9: So these social media companies, they're dealing with these verdicts, 304 00:15:20,240 --> 00:15:22,880 Speaker 9: but they're also just dealing with like larger behavioral issues 305 00:15:22,880 --> 00:15:24,200 Speaker 9: that are having an impact. 306 00:15:24,760 --> 00:15:28,040 Speaker 2: Minda big tech more specifically social media having a big 307 00:15:28,080 --> 00:15:31,680 Speaker 2: tobacco moment. That's not you we've heard that before. It 308 00:15:31,760 --> 00:15:34,760 Speaker 2: kind of comes and goes. This time, is it any different? 309 00:15:36,200 --> 00:15:38,920 Speaker 9: Yeah, I does feel like this time is going to 310 00:15:38,960 --> 00:15:39,480 Speaker 9: be different. 311 00:15:39,720 --> 00:15:41,040 Speaker 1: I do think so. 312 00:15:41,120 --> 00:15:42,720 Speaker 9: I mean again, I don't think we're going to see 313 00:15:42,720 --> 00:15:45,280 Speaker 9: massive changes overnight, but the you know, these are being 314 00:15:45,320 --> 00:15:47,560 Speaker 9: called landmark cases for a reason, and the fact that 315 00:15:47,600 --> 00:15:50,400 Speaker 9: these juris are not coming out, you know, in the 316 00:15:50,400 --> 00:15:53,400 Speaker 9: favor of these social media companies is not a good 317 00:15:53,440 --> 00:15:56,280 Speaker 9: look for them. And I do think even you know, 318 00:15:56,440 --> 00:15:58,200 Speaker 9: I was talking earlier about how you know, I don't 319 00:15:58,200 --> 00:16:01,520 Speaker 9: think we're going to see like a massive hips to 320 00:16:01,520 --> 00:16:03,640 Speaker 9: ad revenue or anything like that, but I do think 321 00:16:03,720 --> 00:16:06,600 Speaker 9: it's going to you know, marketers and users are like parents, 322 00:16:06,640 --> 00:16:08,520 Speaker 9: you know, all kinds of stakeholders are going to be 323 00:16:08,920 --> 00:16:12,120 Speaker 9: a real you know, further thinking about how they show 324 00:16:12,200 --> 00:16:14,280 Speaker 9: up on these platforms, and I think there is an 325 00:16:14,320 --> 00:16:17,320 Speaker 9: element of like reputational damage that is already happening in 326 00:16:17,400 --> 00:16:19,440 Speaker 9: terms of, like, you know, do we want to be 327 00:16:19,640 --> 00:16:23,840 Speaker 9: showing ads on these platforms that are increasingly just looking like, 328 00:16:23,920 --> 00:16:26,040 Speaker 9: you know, don't don't have a great reputation right now. 329 00:16:26,080 --> 00:16:28,240 Speaker 9: And I think, you know, for a while, the reputation 330 00:16:28,280 --> 00:16:30,520 Speaker 9: hasn't been great, but it's certainly not getting better at 331 00:16:30,560 --> 00:16:33,160 Speaker 9: this point, so we could see some shifts happening there. 332 00:16:33,200 --> 00:16:36,440 Speaker 2: For sure, Meta is down more than five percent, having 333 00:16:36,480 --> 00:16:39,120 Speaker 2: its worst day since October. Minda smiley senior analyst that 334 00:16:39,120 --> 00:16:40,800 Speaker 2: E marketered, thank you very much. We have got a lot 335 00:16:40,800 --> 00:16:45,280 Speaker 2: more on this topic. Our own original investigation can't look away. 336 00:16:45,520 --> 00:16:49,080 Speaker 2: The case against social media is available. 337 00:16:48,760 --> 00:16:51,640 Speaker 7: On all Bloomberg platforms. Now coming up. 338 00:16:51,720 --> 00:16:55,520 Speaker 2: Regulators in Europe are also stepping up scrutiny of online platforms. 339 00:16:55,520 --> 00:16:58,040 Speaker 7: We have more on that next. This is Bloomberg Tech. 340 00:17:05,200 --> 00:17:07,600 Speaker 4: It's time now for talking tech and first up. China's 341 00:17:07,600 --> 00:17:10,640 Speaker 4: food delivery leader, that's Mate one posted a modest four 342 00:17:10,680 --> 00:17:13,640 Speaker 4: point one percent increase in sales. The company's expansion efforts 343 00:17:13,680 --> 00:17:17,240 Speaker 4: outside of China helped offset price wal pressures from Alibaba 344 00:17:17,240 --> 00:17:19,679 Speaker 4: and JD dot Com. Still, that rivalry has weighed on 345 00:17:19,680 --> 00:17:21,720 Speaker 4: the stock, which is had forty five percent over the 346 00:17:21,760 --> 00:17:24,840 Speaker 4: past year plus. Moonshot Ai is in early stages of 347 00:17:24,880 --> 00:17:26,240 Speaker 4: considering an IPO in Hong Kong. 348 00:17:26,280 --> 00:17:27,400 Speaker 1: Now That's according to sources. 349 00:17:27,520 --> 00:17:30,600 Speaker 4: The company behind the Kimni chatbot has reportedly held talks 350 00:17:30,640 --> 00:17:34,240 Speaker 4: with China International Capital and Goldman Sacks, though deliberations are 351 00:17:34,240 --> 00:17:37,600 Speaker 4: still ongoing. And in Europe, more regulators are stepping up 352 00:17:37,640 --> 00:17:41,400 Speaker 4: scrutiny of online platforms now the EU has launched an 353 00:17:41,440 --> 00:17:45,080 Speaker 4: investigation into Snapchat, focusing on how it verifies as users 354 00:17:45,119 --> 00:17:48,520 Speaker 4: sages and addresses risks like grooming criminal activity. At the 355 00:17:48,560 --> 00:17:51,320 Speaker 4: same time, it's advancing a separate probe at the moment 356 00:17:51,359 --> 00:17:54,680 Speaker 4: into pornography platforms the sober concerns it failed to adequately 357 00:17:54,720 --> 00:17:57,159 Speaker 4: block miners from accessing its sites. 358 00:17:57,600 --> 00:17:57,679 Speaker 1: Ed. 359 00:17:59,320 --> 00:18:02,000 Speaker 2: Just taking another quickly at Metacarra because the stock is 360 00:18:02,040 --> 00:18:04,760 Speaker 2: down severely two standard deviation move on track for its 361 00:18:04,800 --> 00:18:08,440 Speaker 2: biggest drop since October, and actually that drop is deepening. 362 00:18:08,760 --> 00:18:12,639 Speaker 2: Remember a jury verdict finding both Meta and Google liable 363 00:18:12,680 --> 00:18:16,560 Speaker 2: of harming a young user with negligible, deliberate products designed 364 00:18:16,560 --> 00:18:18,240 Speaker 2: to make social media addictive. 365 00:18:18,600 --> 00:18:19,480 Speaker 7: Okay, Coming up on the. 366 00:18:19,400 --> 00:18:21,880 Speaker 2: Program, Rachel Holt from Construct Capital is going to join 367 00:18:21,960 --> 00:18:26,960 Speaker 2: us to discuss early stage investments in startups, modernizing critical industries, 368 00:18:27,040 --> 00:18:31,280 Speaker 2: venture capital, startups, and the private markets. It is halftime 369 00:18:31,560 --> 00:18:34,520 Speaker 2: from San Francisco and New York. This is Bloomberg Tech. 370 00:18:44,480 --> 00:18:47,280 Speaker 4: Welcome back to Bloomberg Tech. Let's check in on a 371 00:18:47,320 --> 00:18:49,879 Speaker 4: specific set of movers right now, because we're on draw 372 00:18:49,880 --> 00:18:53,320 Speaker 4: attention to memory makers and the chip sector. More broadly, 373 00:18:53,600 --> 00:18:55,720 Speaker 4: we are down by seven percent. If you looked at 374 00:18:55,760 --> 00:18:58,600 Speaker 4: Asian trading of sk Heinez so Samsung it was off 375 00:18:58,600 --> 00:19:00,760 Speaker 4: by six percent as well at Micron. Here in the 376 00:19:00,840 --> 00:19:02,840 Speaker 4: United States it's or by four percent. We are going 377 00:19:02,880 --> 00:19:06,600 Speaker 4: even lower. And this is all sparked by well, a 378 00:19:06,640 --> 00:19:10,040 Speaker 4: new algorithm coming from alphabet Google really talking up on 379 00:19:10,320 --> 00:19:12,040 Speaker 4: x something actually they discovered a year ago. 380 00:19:12,280 --> 00:19:12,320 Speaker 5: Ed. 381 00:19:12,560 --> 00:19:14,280 Speaker 4: But this is about the fact that you perhaps need 382 00:19:14,359 --> 00:19:17,679 Speaker 4: less memory when running large language models, to a factor 383 00:19:17,720 --> 00:19:21,480 Speaker 4: of six fold less. But if I hear Jevins paradox 384 00:19:21,520 --> 00:19:23,840 Speaker 4: talked one more time they're an analyst, I need to 385 00:19:23,840 --> 00:19:25,760 Speaker 4: start getting some money for each time I read it 386 00:19:25,880 --> 00:19:27,399 Speaker 4: ed because there is this view that if you can 387 00:19:27,480 --> 00:19:29,080 Speaker 4: do more with less, well you keep doing more. 388 00:19:29,880 --> 00:19:32,560 Speaker 2: Yeah, that's the basic sum of it. Turboquont is an 389 00:19:32,560 --> 00:19:35,560 Speaker 2: algorithm that, in the context running an NLM has an 390 00:19:35,680 --> 00:19:38,560 Speaker 2: up to factor of six x less memory requirements. The 391 00:19:38,560 --> 00:19:42,359 Speaker 2: market's taking that and saying that just means the piper scalers, 392 00:19:42,359 --> 00:19:44,080 Speaker 2: those building out infrastructure. 393 00:19:43,680 --> 00:19:44,800 Speaker 7: Will buy less memory. 394 00:19:44,880 --> 00:19:47,320 Speaker 2: And that kind of went round the clock US Asia 395 00:19:47,400 --> 00:19:48,000 Speaker 2: back to US. 396 00:19:48,560 --> 00:19:50,720 Speaker 4: And now though we're still sort of having that knee 397 00:19:50,800 --> 00:19:53,359 Speaker 4: joke reaction more broadly, because these focks will run up 398 00:19:53,400 --> 00:19:55,520 Speaker 4: so far so fast. Look, some of the names in 399 00:19:55,560 --> 00:19:58,400 Speaker 4: Asia are up seven hundred percent. Micron was up about 400 00:19:58,400 --> 00:20:00,919 Speaker 4: what's three hundred percent in the previous fiscal year in 401 00:20:01,000 --> 00:20:03,119 Speaker 4: terms of share prices. Maybe it's a bit of profit 402 00:20:03,160 --> 00:20:05,199 Speaker 4: just coming off the table as we do assess what 403 00:20:05,200 --> 00:20:07,560 Speaker 4: our memory needs are and what the bottles really are. 404 00:20:08,480 --> 00:20:10,480 Speaker 2: It is one of the top most read stories on 405 00:20:10,480 --> 00:20:13,320 Speaker 2: the Bloomberg terminal on dot com couragees go get some 406 00:20:13,359 --> 00:20:16,680 Speaker 2: of the detail. In private market, shield Ai has announced 407 00:20:16,680 --> 00:20:20,440 Speaker 2: its raise two billion dollars, hitting evaluation of twelve point 408 00:20:20,480 --> 00:20:22,920 Speaker 2: seven billion dollars, more than double from a year ago. 409 00:20:22,960 --> 00:20:25,680 Speaker 2: The defense tech startup raised one point five billion dollars 410 00:20:25,720 --> 00:20:29,840 Speaker 2: in Series G funding led by Advent International. Blackstone is 411 00:20:29,880 --> 00:20:33,960 Speaker 2: putting in an additional five hundred million in preferred equity financing. 412 00:20:34,000 --> 00:20:36,359 Speaker 2: Shield says it'll be using part of the funding to 413 00:20:36,480 --> 00:20:41,600 Speaker 2: acquire tactical simulation software maker Hlon Technology, and the terms 414 00:20:41,600 --> 00:20:44,639 Speaker 2: for that one disclosed. Shield last raised two hundred and 415 00:20:44,640 --> 00:20:47,440 Speaker 2: forty million out of five point three billion dollar valuation 416 00:20:47,760 --> 00:20:49,720 Speaker 2: in March for twenty twenty five. That, by the way, 417 00:20:50,080 --> 00:20:54,240 Speaker 2: included Bloomberg Beta, the venture firm backed by Bloomberg LP, 418 00:20:54,680 --> 00:20:58,560 Speaker 2: the parent company of this organization, Cara, I mean. 419 00:20:58,520 --> 00:21:01,439 Speaker 4: Look, defense tech, we've been talking about it all week 420 00:21:01,760 --> 00:21:04,480 Speaker 4: ed and that was after we were course at Heilen 421 00:21:04,560 --> 00:21:07,800 Speaker 4: Valley Forum and we talked also about reindustrialization more broadly. 422 00:21:07,840 --> 00:21:10,240 Speaker 4: And one venture firm that's been focused on exactly that 423 00:21:10,400 --> 00:21:13,040 Speaker 4: is Construct Capital, which recently raised three hundred million dollars 424 00:21:13,080 --> 00:21:15,439 Speaker 4: in a vehicle to back early stage startups focused on 425 00:21:15,600 --> 00:21:19,160 Speaker 4: foundational industries. Well, Rachel Holt is co founder managing partner 426 00:21:19,200 --> 00:21:21,320 Speaker 4: at Construct and peaces say you join us and you 427 00:21:21,359 --> 00:21:24,200 Speaker 4: were also in DC with us when Hill and Valley 428 00:21:24,280 --> 00:21:28,000 Speaker 4: Forum was upon us and Rachel this waive this movement 429 00:21:28,200 --> 00:21:31,000 Speaker 4: into a realization of real industrialization of. 430 00:21:30,920 --> 00:21:33,720 Speaker 1: Defense technique in the US. Are you seeing enough? 431 00:21:34,119 --> 00:21:38,200 Speaker 4: Were buyer activity, the government realizing this and allocating money 432 00:21:38,240 --> 00:21:39,800 Speaker 4: for you to put your money to work in an 433 00:21:39,800 --> 00:21:41,840 Speaker 4: early stage Yeah? 434 00:21:41,880 --> 00:21:43,840 Speaker 10: Well, thank you so much for having me, Caroline. It 435 00:21:43,960 --> 00:21:46,719 Speaker 10: is so interesting to see what has happened in a 436 00:21:46,760 --> 00:21:51,280 Speaker 10: really short period of time. We launched construct Capital early 437 00:21:51,359 --> 00:21:54,240 Speaker 10: in twenty twenty pre COVID twenty twenty with this belief 438 00:21:54,400 --> 00:21:58,959 Speaker 10: that we needed to see productivity technology enter what we 439 00:21:59,000 --> 00:22:03,600 Speaker 10: describe as foundation industries. Areas like manufacturing, supply chain logistics, 440 00:22:03,840 --> 00:22:06,680 Speaker 10: certainly defense tech, because when you look at the numbers, 441 00:22:06,840 --> 00:22:09,919 Speaker 10: productivity was declining in these spaces. It was literally taking 442 00:22:10,080 --> 00:22:13,040 Speaker 10: longer to do the work. One hundred hours of work 443 00:22:13,119 --> 00:22:16,560 Speaker 10: was taking longer than it had ten fifteen years ago. 444 00:22:16,600 --> 00:22:19,720 Speaker 10: And of course in other sectors we've seen tremendous growth 445 00:22:19,720 --> 00:22:23,520 Speaker 10: from a productivity standpoint, so we really felt like now 446 00:22:23,680 --> 00:22:26,920 Speaker 10: was the time to focus on these spaces. But as 447 00:22:26,920 --> 00:22:30,840 Speaker 10: you point out, you know, there's a tremendous amount of interests, 448 00:22:30,880 --> 00:22:34,040 Speaker 10: a tremendous amount of investor interests coming into these spaces. 449 00:22:34,240 --> 00:22:37,080 Speaker 10: There's been a twenty x increase in Series B dollars 450 00:22:37,119 --> 00:22:40,080 Speaker 10: going into these spaces since twenty twenty when we launched 451 00:22:40,080 --> 00:22:43,560 Speaker 10: the fund to today, and certainly Hill in the Valley 452 00:22:43,560 --> 00:22:48,280 Speaker 10: Forum was a knockout event, sold out, you couldn't get 453 00:22:48,280 --> 00:22:52,840 Speaker 10: anywhere near the space. If you really didn't, you know, 454 00:22:52,880 --> 00:22:56,280 Speaker 10: you hadn't really been building something legitimate in this space. 455 00:22:56,320 --> 00:22:59,359 Speaker 10: And so we're very excited, we're very encouraged by the 456 00:22:59,359 --> 00:23:03,120 Speaker 10: amount of interest, but the contracts have to follow, and 457 00:23:03,720 --> 00:23:06,399 Speaker 10: you know, but these spaces are big, they're important, and 458 00:23:06,760 --> 00:23:08,639 Speaker 10: we're convinced, you know that there are a set of 459 00:23:08,640 --> 00:23:10,200 Speaker 10: companies that are really going to break out here. 460 00:23:10,520 --> 00:23:13,000 Speaker 4: You and Dana Grayson have, as you mentioned, been doing 461 00:23:13,000 --> 00:23:16,240 Speaker 4: this since twenty twenty, let's say, before for a cool 462 00:23:16,720 --> 00:23:19,520 Speaker 4: and now everyone piling in. How have you distinguished yourselves 463 00:23:19,520 --> 00:23:21,679 Speaker 4: with LPs? How have you managed with were looking at 464 00:23:21,680 --> 00:23:24,880 Speaker 4: your pol potio companies? The growth in Hadrin, for example, 465 00:23:25,160 --> 00:23:27,000 Speaker 4: is that what's brought people forward to want to back 466 00:23:27,080 --> 00:23:27,639 Speaker 4: the next fund? 467 00:23:28,920 --> 00:23:30,600 Speaker 10: Well, I think, first of all, we didn't turn our 468 00:23:30,640 --> 00:23:33,200 Speaker 10: attention here. You know, we were in a crypto investor 469 00:23:33,359 --> 00:23:35,880 Speaker 10: Web three investor in twenty twenty, twenty twenty one, when 470 00:23:35,880 --> 00:23:39,120 Speaker 10: that was cool. We have been dedicated our entire careers 471 00:23:39,160 --> 00:23:42,360 Speaker 10: really to investing and operating in and around these spaces. 472 00:23:42,800 --> 00:23:44,800 Speaker 10: I joined Uber in twenty eleven when they had just 473 00:23:44,880 --> 00:23:47,159 Speaker 10: had a Series A. Everyone told me I was crazy 474 00:23:47,200 --> 00:23:50,080 Speaker 10: to go join a taxi company their words, not mine. 475 00:23:50,240 --> 00:23:52,240 Speaker 7: But it was slow moving. 476 00:23:52,080 --> 00:23:54,840 Speaker 10: Heavily regulated, high caf X, and of course Uber is 477 00:23:54,880 --> 00:23:58,960 Speaker 10: none of those things. Dana similarly investing at a ne EA, 478 00:23:59,560 --> 00:24:02,119 Speaker 10: you know in around the earliest SaaS in the cloud, 479 00:24:02,200 --> 00:24:05,080 Speaker 10: the earliest three D printing companies, these companies that were 480 00:24:05,119 --> 00:24:09,080 Speaker 10: not seen as venture scale outcomes. When you know when 481 00:24:09,160 --> 00:24:12,840 Speaker 10: we made those moves, and I think founders LPs certainly 482 00:24:13,240 --> 00:24:17,080 Speaker 10: recognize that there. 483 00:24:15,560 --> 00:24:18,640 Speaker 2: Is a distinction between an effort to reindustrialize and what's 484 00:24:18,640 --> 00:24:22,159 Speaker 2: happening in defense technology. And there is a distinction on 485 00:24:22,200 --> 00:24:25,560 Speaker 2: the policy side with artificial intelligence. But what broadly connects 486 00:24:25,560 --> 00:24:29,520 Speaker 2: all of those is this administration focusing on cutting red tape, 487 00:24:30,080 --> 00:24:35,080 Speaker 2: expediting permitting, and basically giving political will to bring more 488 00:24:35,119 --> 00:24:39,240 Speaker 2: things back to America at the early stage, how does 489 00:24:39,280 --> 00:24:40,520 Speaker 2: that present an opportunity. 490 00:24:41,800 --> 00:24:44,719 Speaker 10: Yeah, that's a great point, and I really see you know, 491 00:24:44,760 --> 00:24:47,399 Speaker 10: we many of these companies are dual use companies, and 492 00:24:47,440 --> 00:24:50,200 Speaker 10: I think that's important to distinguish. There are a lot 493 00:24:50,280 --> 00:24:53,480 Speaker 10: of amazing companies in the defense tech space, but companies 494 00:24:53,520 --> 00:24:57,280 Speaker 10: like Hadrian didn't start just selling into governments. And I 495 00:24:57,280 --> 00:25:00,800 Speaker 10: think particularly at the early stages, it's as sale cycles 496 00:25:00,800 --> 00:25:03,159 Speaker 10: are still long. You need to have a lot of 497 00:25:03,160 --> 00:25:07,320 Speaker 10: different compliance requirements. Getting into one of these government contracts 498 00:25:07,440 --> 00:25:12,119 Speaker 10: is can be critical, can be company moving, But fundamentally, 499 00:25:12,400 --> 00:25:15,520 Speaker 10: you know what excites us about about these companies is 500 00:25:15,800 --> 00:25:20,080 Speaker 10: half the GDP sits within foundational industries. These are massive spaces. 501 00:25:20,280 --> 00:25:24,000 Speaker 10: There has been almost no technology incumbents and when you 502 00:25:24,040 --> 00:25:27,280 Speaker 10: think about AI and you think about sort of what 503 00:25:27,440 --> 00:25:30,440 Speaker 10: can what we can do, we can really leap frog forward. 504 00:25:31,400 --> 00:25:33,439 Speaker 10: We are never going to be as good as China 505 00:25:33,920 --> 00:25:37,040 Speaker 10: or other countries that sticking a large number of people 506 00:25:37,080 --> 00:25:41,040 Speaker 10: doing repetitive tasks over and over, and software can change that. 507 00:25:41,119 --> 00:25:43,359 Speaker 10: Software is what we are excellent at. Innovation is what 508 00:25:43,400 --> 00:25:46,520 Speaker 10: we are excellent at. And I think there's broad recognition there. 509 00:25:47,320 --> 00:25:50,960 Speaker 2: Do these companies have a future that's more focused on 510 00:25:51,080 --> 00:25:55,920 Speaker 2: selling to government and the public sector or is there 511 00:25:56,520 --> 00:25:59,800 Speaker 2: an addressable market where all of these different companies are 512 00:25:59,840 --> 00:26:02,000 Speaker 2: doing business with one another. I think there's a real 513 00:26:02,080 --> 00:26:03,680 Speaker 2: distinction there too. 514 00:26:05,320 --> 00:26:05,560 Speaker 1: Yeah. 515 00:26:05,640 --> 00:26:08,600 Speaker 10: I think Look, I think you need volume, you need 516 00:26:08,640 --> 00:26:12,919 Speaker 10: the supply chains you need, and those things happen in 517 00:26:12,960 --> 00:26:14,359 Speaker 10: a very symbiotic way. 518 00:26:14,600 --> 00:26:14,800 Speaker 8: You know. 519 00:26:14,840 --> 00:26:16,800 Speaker 10: What we see is there are a lot of companies 520 00:26:16,840 --> 00:26:21,199 Speaker 10: that are using maybe their commercial non government contracts to 521 00:26:21,240 --> 00:26:24,919 Speaker 10: sort of build up initial capabilities, to build up supply chains, 522 00:26:25,000 --> 00:26:29,800 Speaker 10: to start developing the relationships they need, and then you 523 00:26:29,920 --> 00:26:32,920 Speaker 10: get one of these massive needle moving contracts like Hadrian 524 00:26:33,080 --> 00:26:35,320 Speaker 10: just announced last week with the Navy, and that can 525 00:26:35,359 --> 00:26:38,280 Speaker 10: just completely accelerate a company's trajectory. 526 00:26:38,760 --> 00:26:42,080 Speaker 4: Rachel, how do you get that confidence before that contract 527 00:26:42,119 --> 00:26:43,960 Speaker 4: is signed. There has been a lot of hype dare 528 00:26:43,960 --> 00:26:47,240 Speaker 4: I say it, around certain defense tech names, and many 529 00:26:47,240 --> 00:26:49,720 Speaker 4: people worrying that actually the proof point really isn't there. 530 00:26:51,560 --> 00:26:54,800 Speaker 10: Look, I think, first and foremost it comes down to 531 00:26:54,880 --> 00:27:00,080 Speaker 10: backing the most exceptional founders. Exceptional founders find ways to 532 00:27:00,520 --> 00:27:02,800 Speaker 10: make things happen in ways you know, you and I 533 00:27:02,880 --> 00:27:06,159 Speaker 10: can only dream up. And I think what we what 534 00:27:06,200 --> 00:27:09,200 Speaker 10: we see is those founders are finding a way to 535 00:27:09,560 --> 00:27:09,840 Speaker 10: do that. 536 00:27:09,960 --> 00:27:12,320 Speaker 4: Today I have to jump in, but we so appreciate 537 00:27:12,359 --> 00:27:14,520 Speaker 4: you joining us today. Rachel Holt, a co managing partner 538 00:27:14,560 --> 00:27:15,280 Speaker 4: at Construct Capital