1 00:00:02,279 --> 00:00:05,640 Speaker 1: From the heart of where innovation, money and power collive 2 00:00:06,400 --> 00:00:10,920 Speaker 1: in Silicon Valley and beyond. This is Bloomberg Technology with 3 00:00:11,000 --> 00:00:26,680 Speaker 1: Emily Chang. I'm Emily Chang in San Francisco and this 4 00:00:26,720 --> 00:00:29,200 Speaker 1: is Bloomberg Technology. Coming up in the next hour to 5 00:00:29,560 --> 00:00:31,720 Speaker 1: trading players could be looking at tie the knot. With 6 00:00:31,760 --> 00:00:35,440 Speaker 1: the markets in free fall, ft X is exploring an 7 00:00:35,479 --> 00:00:39,440 Speaker 1: acquisition of robin Hood. According to Bloomberg sources, robin Hood 8 00:00:39,600 --> 00:00:43,760 Speaker 1: is down some seventy five since it went public last year. 9 00:00:43,760 --> 00:00:46,760 Speaker 1: We'll tell you where the talk stand and we'll also 10 00:00:46,800 --> 00:00:49,760 Speaker 1: bring your exclusive interview with coin Flex CEO Mark Lamb 11 00:00:49,760 --> 00:00:53,600 Speaker 1: about why they froze all withdrawals and what they're doing 12 00:00:53,680 --> 00:00:57,160 Speaker 1: to fix it. Plus, tech companies may be willing to 13 00:00:57,200 --> 00:00:59,920 Speaker 1: cover travel fees for employees looking to get an aboord, 14 00:01:00,240 --> 00:01:02,800 Speaker 1: But what about protecting your data? We'll talk to a 15 00:01:02,840 --> 00:01:06,119 Speaker 1: civil rights attorney about the power tech company's have over 16 00:01:06,319 --> 00:01:10,199 Speaker 1: your digital rights. In a post row era and Para 17 00:01:10,360 --> 00:01:13,280 Speaker 1: Nos's Sunny Baldwani his fate in the hands of a 18 00:01:13,360 --> 00:01:16,679 Speaker 1: jury at the same courthouse where his ex girlfriend, Elizabeth 19 00:01:16,680 --> 00:01:19,920 Speaker 1: Bones was found guilty of defrauding Investors will get the 20 00:01:20,000 --> 00:01:23,800 Speaker 1: latest on where the trial stands. More on that bloomberg 21 00:01:23,800 --> 00:01:26,400 Speaker 1: scoop news of f t X and Sam Bankman Freed's 22 00:01:26,440 --> 00:01:30,640 Speaker 1: interest in acquiring robin Hood. We learned just last month 23 00:01:30,840 --> 00:01:33,800 Speaker 1: that Bankman Freed owns a seven point six percent stake 24 00:01:34,440 --> 00:01:37,480 Speaker 1: in robin Hood through another holding company. As this news 25 00:01:37,520 --> 00:01:42,600 Speaker 1: was breaking, he tweeted backstopping customer assets should always be primary, 26 00:01:42,959 --> 00:01:46,440 Speaker 1: everything else is secondary. For more, I'm joined by Bloombergs. 27 00:01:46,440 --> 00:01:49,000 Speaker 1: Annie Massa, who covers robin Hood has been working this 28 00:01:49,120 --> 00:01:51,400 Speaker 1: story for us. What's the latest, Annie? What do we know? 29 00:01:51,440 --> 00:01:54,360 Speaker 1: What's the status of this? So the service is that 30 00:01:54,440 --> 00:01:59,080 Speaker 1: f t X has talked internally about potentially reaching out 31 00:01:59,120 --> 00:02:02,120 Speaker 1: seeing if they could buy I robin Hood, and we've 32 00:02:02,120 --> 00:02:05,600 Speaker 1: seen robin Hood has been pretty distressed in the months 33 00:02:05,600 --> 00:02:09,560 Speaker 1: since its I p O last year, and it's led 34 00:02:09,600 --> 00:02:12,399 Speaker 1: a lot of people to wonder if robin Hood might 35 00:02:12,720 --> 00:02:16,000 Speaker 1: pursue a deal. Now, they haven't advanced as far as 36 00:02:16,680 --> 00:02:19,440 Speaker 1: uh as having formal M and A talks, but this 37 00:02:19,480 --> 00:02:22,800 Speaker 1: is something FTX is exploring, especially after that stake that 38 00:02:23,240 --> 00:02:27,840 Speaker 1: Sam Bankmn Freed took. As you mentioned, so fd X 39 00:02:27,840 --> 00:02:30,720 Speaker 1: saying in a statement, we're excited about robin Hood's business 40 00:02:30,800 --> 00:02:34,000 Speaker 1: prospects and potential ways we could partner with them. That 41 00:02:34,120 --> 00:02:38,080 Speaker 1: being said, no active M and A conversations with robin Hood. 42 00:02:38,080 --> 00:02:40,240 Speaker 1: Do we know how robin Hood and its co founders 43 00:02:40,480 --> 00:02:44,480 Speaker 1: feel about this? They're the company declines to come in 44 00:02:44,560 --> 00:02:47,080 Speaker 1: for our story. It's true that this is in the 45 00:02:47,120 --> 00:02:51,440 Speaker 1: earlier stages right now, but and it's complicated by the 46 00:02:51,480 --> 00:02:54,240 Speaker 1: fact that robin Hood's co founders lad tin Of and 47 00:02:54,280 --> 00:02:59,519 Speaker 1: Beij Jubat have super majority voting uh they control over 48 00:02:59,639 --> 00:03:03,440 Speaker 1: fifty percent of voting power at robin Hood, so that 49 00:03:03,480 --> 00:03:07,359 Speaker 1: would complicate any deal. However, you're still in a position 50 00:03:07,440 --> 00:03:10,320 Speaker 1: where there there have been a lot of questions about 51 00:03:10,600 --> 00:03:12,960 Speaker 1: what robin Hood might do, whether it might come under 52 00:03:13,080 --> 00:03:15,680 Speaker 1: enough pressure to look at a deal, and if FTX 53 00:03:15,720 --> 00:03:18,440 Speaker 1: were to come forward with something, um they might have 54 00:03:18,520 --> 00:03:20,840 Speaker 1: to take a look. Why would it feel like this 55 00:03:20,919 --> 00:03:24,080 Speaker 1: makes sense? Obviously, we know robin hood stock has plummeted, 56 00:03:24,160 --> 00:03:27,600 Speaker 1: They've had to do some layoffs. There are still an 57 00:03:27,600 --> 00:03:30,760 Speaker 1: incredibly popular trading app. When you ask, you know, a 58 00:03:30,800 --> 00:03:35,400 Speaker 1: typical retail investor, UM that said, you know that they've 59 00:03:35,440 --> 00:03:38,160 Speaker 1: been working trying to push harder into the crypto market. 60 00:03:38,240 --> 00:03:40,640 Speaker 1: That's f T x is bread and butter. You know, 61 00:03:40,680 --> 00:03:43,440 Speaker 1: talk to us about you know, the reasoning behind a 62 00:03:43,520 --> 00:03:45,760 Speaker 1: tie up other than the fact that sam Bank been 63 00:03:45,800 --> 00:03:49,920 Speaker 1: freed is interested. That's right. So first year have sam 64 00:03:49,920 --> 00:03:52,240 Speaker 1: Bank been freed with his stake that he already has 65 00:03:52,560 --> 00:03:54,760 Speaker 1: your holding company in robin Hood. But there are other 66 00:03:54,840 --> 00:03:59,200 Speaker 1: overlaps between the companies too. Robin Hood really benefited from 67 00:03:59,200 --> 00:04:01,760 Speaker 1: the huge boom and retail trading that we saw during 68 00:04:01,760 --> 00:04:05,560 Speaker 1: the pandemic. You can trade equities options crypto all on 69 00:04:05,680 --> 00:04:08,640 Speaker 1: robin Hood and f t X is a crypto exchange, 70 00:04:08,640 --> 00:04:11,800 Speaker 1: but it's also shown interest in getting into the equities 71 00:04:11,840 --> 00:04:14,280 Speaker 1: world as well. So there is a fair amount of 72 00:04:14,360 --> 00:04:17,960 Speaker 1: overlap between the very retail heavy world of crypto f 73 00:04:18,040 --> 00:04:21,920 Speaker 1: t X really embodies and the crypto stock trading options 74 00:04:21,920 --> 00:04:26,760 Speaker 1: trading for younger investors, newer investors that robin Hood represents. 75 00:04:27,000 --> 00:04:28,919 Speaker 1: So you can see a tie up of the two 76 00:04:29,040 --> 00:04:32,800 Speaker 1: making sense, all right, bloom Brigs. Animasa will continue to 77 00:04:32,839 --> 00:04:44,279 Speaker 1: stay tuned to your reporting. Thank you. Some of the 78 00:04:44,279 --> 00:04:46,920 Speaker 1: biggest companies in the world, many of them in tech, 79 00:04:46,960 --> 00:04:49,800 Speaker 1: have quickly put into action plans to help employees who 80 00:04:49,839 --> 00:04:53,240 Speaker 1: may need access to abortion care following the Supreme Courts 81 00:04:53,279 --> 00:04:58,760 Speaker 1: ruling overturning Rowe versus Wade. Companies like Apple, Uber, Lift, Meta, Amazon, 82 00:04:58,800 --> 00:05:01,719 Speaker 1: and dozens more have an ou still cover travel expenses 83 00:05:02,040 --> 00:05:05,440 Speaker 1: for employees and states where the medical procedure is or 84 00:05:05,520 --> 00:05:08,760 Speaker 1: will be banned for more. Now, I'm joined by Bloomberg 85 00:05:08,839 --> 00:05:11,760 Speaker 1: Sarah Fryer. So Sarah explained to us what's happening in 86 00:05:11,800 --> 00:05:16,080 Speaker 1: the fine print here and what these companies are saying. Well, 87 00:05:16,120 --> 00:05:17,880 Speaker 1: a lot of the companies are saying that they will 88 00:05:17,920 --> 00:05:22,040 Speaker 1: include abortion among the health care procedures, that they will 89 00:05:22,320 --> 00:05:26,520 Speaker 1: will reimburse travel for UM. So often that is, you know, 90 00:05:26,600 --> 00:05:31,160 Speaker 1: if it's if it's something that you that you need, UM, 91 00:05:31,279 --> 00:05:33,200 Speaker 1: they will find a way to fly you to a 92 00:05:33,240 --> 00:05:36,720 Speaker 1: state where that's possible. The problem is, UM, they're not 93 00:05:36,760 --> 00:05:39,600 Speaker 1: saying anything about another big question that we have here 94 00:05:39,600 --> 00:05:44,080 Speaker 1: at Bloomberg, which is not just about employees, but about 95 00:05:44,080 --> 00:05:46,800 Speaker 1: their investments in these states, but about the data that 96 00:05:46,839 --> 00:05:49,320 Speaker 1: they collect UM. There's a lot of concern right now 97 00:05:49,440 --> 00:05:53,880 Speaker 1: that that companies will collect data just through their uses, 98 00:05:53,920 --> 00:05:58,320 Speaker 1: through their searches, through their messaging, through UM, their interactions 99 00:05:58,320 --> 00:06:03,440 Speaker 1: online about whether they're playing abortions, and that prosecutors in 100 00:06:03,480 --> 00:06:06,480 Speaker 1: these states where abortion is illegal might try to subpoena 101 00:06:06,600 --> 00:06:09,159 Speaker 1: the companies to get it. And so far, we haven't 102 00:06:09,240 --> 00:06:11,800 Speaker 1: seen a lot of companies stand up and say they 103 00:06:11,800 --> 00:06:15,640 Speaker 1: won't provide that data or that they'll protect user privacy. 104 00:06:16,080 --> 00:06:21,040 Speaker 1: And it's a tricky situation for them because UM historically 105 00:06:21,080 --> 00:06:25,320 Speaker 1: their rule has been whenever there is UM something illegal 106 00:06:25,600 --> 00:06:29,000 Speaker 1: or something requested by law enforcement, they could apply UM. 107 00:06:29,040 --> 00:06:30,960 Speaker 1: But in this case, where they have a subject that 108 00:06:31,040 --> 00:06:33,919 Speaker 1: a lot of employees feel very passionately about, most of 109 00:06:33,920 --> 00:06:36,560 Speaker 1: the us UM is on the side that, you know, 110 00:06:36,560 --> 00:06:39,000 Speaker 1: people should be able to have this health care procedure. 111 00:06:39,560 --> 00:06:42,320 Speaker 1: I don't know how they're going to react when when 112 00:06:42,480 --> 00:06:45,400 Speaker 1: prosecutors started asking for that data, and Sarah, I know 113 00:06:45,480 --> 00:06:47,840 Speaker 1: that you and your team are trying to get some 114 00:06:47,880 --> 00:06:50,039 Speaker 1: answers from these companies about how they're going to handle 115 00:06:50,080 --> 00:06:55,200 Speaker 1: these bigger questions. What are we hearing so far? Well, 116 00:06:55,240 --> 00:06:57,600 Speaker 1: I think I think that what we might see is 117 00:06:57,880 --> 00:07:00,120 Speaker 1: some companies standing up and saying, no, we're not going 118 00:07:00,240 --> 00:07:03,680 Speaker 1: to do that. UM this data, this user data, will 119 00:07:03,720 --> 00:07:06,880 Speaker 1: fight in court over not providing it to the government 120 00:07:07,200 --> 00:07:10,920 Speaker 1: and potentially endangering someone, whereas other companies will say, listen, 121 00:07:10,960 --> 00:07:14,000 Speaker 1: this is the law, and we operate by the law 122 00:07:14,000 --> 00:07:17,800 Speaker 1: of the land wherever we wherever we are, UM, you know, 123 00:07:17,840 --> 00:07:21,400 Speaker 1: putting our product, we have to do that, and so 124 00:07:21,480 --> 00:07:24,920 Speaker 1: they'll just they'll just comply, and UM it could set 125 00:07:25,000 --> 00:07:27,160 Speaker 1: up a lot of problems for a lot of people 126 00:07:27,160 --> 00:07:30,040 Speaker 1: who use these services. UM. It's it's very different than 127 00:07:30,080 --> 00:07:35,080 Speaker 1: fifty years ago, UM pre row. Whereas now we have 128 00:07:35,240 --> 00:07:40,040 Speaker 1: this entire economy around knowing exactly what people intend to 129 00:07:40,080 --> 00:07:43,320 Speaker 1: do based on their online behavior. And I think that 130 00:07:43,440 --> 00:07:45,600 Speaker 1: the next few years we're going to see a lot 131 00:07:45,720 --> 00:07:51,680 Speaker 1: of pain and question around what responsibility companies have to 132 00:07:51,720 --> 00:07:55,400 Speaker 1: their users versus what responsibility ability they have to the 133 00:07:55,480 --> 00:07:58,440 Speaker 1: law in the area where they operate. All right, huge 134 00:07:58,680 --> 00:08:03,040 Speaker 1: big questions that have yet to be answered. Bloomberg's Sarah Fiar, 135 00:08:03,200 --> 00:08:05,800 Speaker 1: editor for our Tech Team, Thank you, Sarah. Now, while 136 00:08:05,800 --> 00:08:08,920 Speaker 1: tech companies might be offering their employees navigating a new 137 00:08:09,000 --> 00:08:13,280 Speaker 1: important abortion landscape help, there are concerns, and Sarah said 138 00:08:13,280 --> 00:08:16,160 Speaker 1: about the information these companies have on their users and 139 00:08:16,200 --> 00:08:18,280 Speaker 1: how it could be used against them if they try 140 00:08:18,320 --> 00:08:22,840 Speaker 1: to access an abortion. Digital rights experts warned that search trees, 141 00:08:23,000 --> 00:08:26,600 Speaker 1: location data app usage could all be fair game for 142 00:08:26,680 --> 00:08:28,840 Speaker 1: more on this. I'm joined by Cynthia Conti Cook. She's 143 00:08:28,880 --> 00:08:31,640 Speaker 1: a civil rights attorney and currently at Tech fellow at 144 00:08:31,640 --> 00:08:36,280 Speaker 1: the Ford Foundations Gender, Racial and Ethnic Justice Team. So, Cynthia, 145 00:08:36,480 --> 00:08:39,880 Speaker 1: we're in some very uncharted territory here. Walk us through 146 00:08:40,480 --> 00:08:44,640 Speaker 1: this post row era and the heightened risk of surveillance. 147 00:08:46,360 --> 00:08:49,559 Speaker 1: Thank you. Yes, we are not going back in time. 148 00:08:49,760 --> 00:08:54,400 Speaker 1: We are going fast forward into uncertainty. And what we 149 00:08:54,480 --> 00:08:59,560 Speaker 1: have already seen happen with digital evidence used against people 150 00:08:59,679 --> 00:09:02,720 Speaker 1: who were pregnant and we're charged with conduct related to 151 00:09:02,760 --> 00:09:07,560 Speaker 1: the termination of their pregnancies, is that that information was 152 00:09:07,840 --> 00:09:12,960 Speaker 1: text messages, it was email receipts, it was search histories 153 00:09:13,000 --> 00:09:16,520 Speaker 1: and websites visited. That's the information that already has been 154 00:09:16,640 --> 00:09:20,160 Speaker 1: used in cases we've already examined coming in front of 155 00:09:20,200 --> 00:09:24,560 Speaker 1: courts across the country. How do you expect companies to 156 00:09:24,679 --> 00:09:28,360 Speaker 1: handle this information? I mean, I wonder is there going 157 00:09:28,400 --> 00:09:31,120 Speaker 1: to be some sort of shadow economy or even a 158 00:09:31,160 --> 00:09:38,360 Speaker 1: shadow society created as a result. Absolutely, people will be 159 00:09:38,440 --> 00:09:42,559 Speaker 1: pushed into shadow economies and pushed into places where they 160 00:09:42,640 --> 00:09:47,400 Speaker 1: are experiencing a lot more vulnerability as a result of 161 00:09:47,440 --> 00:09:52,520 Speaker 1: this decision. So the tech companies have here to to 162 00:09:52,520 --> 00:09:55,920 Speaker 1: to do something about it, to take a stand one 163 00:09:55,960 --> 00:10:01,200 Speaker 1: way or another. Tech companies could engage in a few 164 00:10:01,240 --> 00:10:05,280 Speaker 1: different ways. They could, for example, collect less data in 165 00:10:05,320 --> 00:10:08,760 Speaker 1: addition to I've heard a few tech companies speak to 166 00:10:09,120 --> 00:10:12,120 Speaker 1: location data recently, but location data so far has not 167 00:10:12,160 --> 00:10:15,319 Speaker 1: been used in criminal court against pregnant people. However, their 168 00:10:15,320 --> 00:10:20,440 Speaker 1: search histories have, their website tract have. The other things 169 00:10:20,440 --> 00:10:23,920 Speaker 1: that tech companies can do is become very prepared to 170 00:10:24,080 --> 00:10:26,720 Speaker 1: go into court and actually pushed back against the requests 171 00:10:26,720 --> 00:10:29,800 Speaker 1: that they get from law enforcement to share information about 172 00:10:30,240 --> 00:10:33,400 Speaker 1: what what websites people are looking at and what information 173 00:10:33,440 --> 00:10:36,440 Speaker 1: they're searching for. So you're talking about the biggest and 174 00:10:36,440 --> 00:10:39,000 Speaker 1: most powerful companies in the world. So, for example, Senators 175 00:10:39,000 --> 00:10:41,640 Speaker 1: Around Widen and Elizabeth Warren wrote a letter to the 176 00:10:41,679 --> 00:10:46,120 Speaker 1: fc FTC asking them to investigate Apple and Google's role 177 00:10:46,400 --> 00:10:50,080 Speaker 1: in all of this. What responsibility do you think these 178 00:10:50,120 --> 00:10:55,480 Speaker 1: companies have. The companies provide a very important service that 179 00:10:55,600 --> 00:10:58,960 Speaker 1: allows people to access information about their healthcare. This is 180 00:10:59,040 --> 00:11:01,400 Speaker 1: very simply a public health issue much more than it 181 00:11:01,480 --> 00:11:06,480 Speaker 1: is a technology issue, and the technology companies need to 182 00:11:06,640 --> 00:11:10,360 Speaker 1: understand that the information they collect and store and the 183 00:11:10,480 --> 00:11:13,640 Speaker 1: law enforcement agencies that they provide it to will in 184 00:11:13,679 --> 00:11:16,559 Speaker 1: turn use it to criminalize the people that they are 185 00:11:16,559 --> 00:11:19,160 Speaker 1: relying on to be their users and to be the 186 00:11:19,240 --> 00:11:24,040 Speaker 1: people who will purchase information and of commit to their advertisers. 187 00:11:24,080 --> 00:11:28,000 Speaker 1: It's part of the ecosystem. And if they are disregarding 188 00:11:28,200 --> 00:11:31,720 Speaker 1: the rights and welfare of the people that they are 189 00:11:31,840 --> 00:11:35,199 Speaker 1: serving through the technologies that they provide, those people are 190 00:11:35,200 --> 00:11:39,400 Speaker 1: going to be less and less able to participate. Now, 191 00:11:39,440 --> 00:11:42,360 Speaker 1: there are these big companies, you know, that's one thing, 192 00:11:42,400 --> 00:11:45,200 Speaker 1: but there's also a host of startups offering you know, 193 00:11:45,240 --> 00:11:48,719 Speaker 1: women and family health care UM and I wonder what 194 00:11:48,760 --> 00:11:52,120 Speaker 1: you think the role is of those companies, less powerful, 195 00:11:52,520 --> 00:11:56,320 Speaker 1: obviously less well resourced, you know, being put in a 196 00:11:56,520 --> 00:12:00,160 Speaker 1: in a very difficult position where you know, in any 197 00:12:00,160 --> 00:12:03,480 Speaker 1: afford to states this is all just totally fine, and 198 00:12:03,520 --> 00:12:08,640 Speaker 1: in the rest of the country it's not. First, smaller startups, 199 00:12:09,440 --> 00:12:14,040 Speaker 1: I would say that they first should be they should 200 00:12:14,080 --> 00:12:18,240 Speaker 1: find out from the places that are already existing and 201 00:12:18,280 --> 00:12:21,120 Speaker 1: have been serving the abortion access movement what the needs 202 00:12:21,120 --> 00:12:25,240 Speaker 1: are for the UH questions that they're asking and for 203 00:12:25,320 --> 00:12:29,800 Speaker 1: the types of services that they are considering making available. First, 204 00:12:30,040 --> 00:12:33,560 Speaker 1: the people that are going to be using the service 205 00:12:33,640 --> 00:12:36,720 Speaker 1: should be involved in designing it. Now, what do you 206 00:12:36,720 --> 00:12:40,480 Speaker 1: think about the role of these quote unquote crisis pregnancy firms. 207 00:12:40,520 --> 00:12:44,760 Speaker 1: Bloomberg has reported that these firms, which are encouraging women 208 00:12:44,880 --> 00:12:48,840 Speaker 1: to not get abortion, are also scooping up data on 209 00:12:48,920 --> 00:12:54,040 Speaker 1: women who are seeking abortion. Yes, that's right, they are. 210 00:12:55,320 --> 00:13:00,920 Speaker 1: The crisis pregnancy centers have been very delus really not 211 00:13:01,080 --> 00:13:04,680 Speaker 1: just through in person interviews collecting information about people, but 212 00:13:04,960 --> 00:13:08,480 Speaker 1: simply through existing as a website collecting information about people 213 00:13:08,520 --> 00:13:12,440 Speaker 1: that visit their websites in the same way. So, what's 214 00:13:12,440 --> 00:13:15,840 Speaker 1: your advice to women right now about protecting their digital 215 00:13:15,960 --> 00:13:19,840 Speaker 1: autonomy in this kind of messy middle where we are, 216 00:13:19,840 --> 00:13:22,480 Speaker 1: where a lot of this has yet to be decided 217 00:13:22,520 --> 00:13:26,880 Speaker 1: and this law was just overturned. In the same way 218 00:13:26,880 --> 00:13:31,160 Speaker 1: that we should not all be individually responsible for protecting 219 00:13:31,160 --> 00:13:35,079 Speaker 1: ourselves against COVID, we should all not be individually responsible 220 00:13:35,120 --> 00:13:39,760 Speaker 1: for securing all of our digital devices and having all 221 00:13:39,760 --> 00:13:43,199 Speaker 1: the knowledge of what types of information is collected about us. 222 00:13:43,640 --> 00:13:46,040 Speaker 1: But there are a few things that people can do. 223 00:13:46,360 --> 00:13:50,439 Speaker 1: Secure your devices, Do not share your devices voluntarily with 224 00:13:50,760 --> 00:13:55,840 Speaker 1: police officers, social workers, anyone at a hospital. Secure your communications. 225 00:13:56,240 --> 00:13:59,880 Speaker 1: Make sure that you're using encrypted communication, even very casual, 226 00:14:00,440 --> 00:14:03,120 Speaker 1: and that you have all of your contacts already imported 227 00:14:03,320 --> 00:14:07,480 Speaker 1: and secure your browsing, so use as your default browser 228 00:14:07,880 --> 00:14:10,280 Speaker 1: the types of browsers that are not going to track 229 00:14:10,360 --> 00:14:14,480 Speaker 1: you as you visit website to website. All right, Cynthia 230 00:14:14,480 --> 00:14:19,760 Speaker 1: Conte Cook, fascinating new landscape to explore. Ford Foundation, fellow 231 00:14:19,800 --> 00:14:23,320 Speaker 1: civil rights attorney, thank you well. A new poll suggests 232 00:14:23,360 --> 00:14:26,600 Speaker 1: that a majority of Americans disapprove of the U. S. 233 00:14:26,600 --> 00:14:30,600 Speaker 1: Supreme Court's decision to overturn the constitutional right to an abortion. 234 00:14:31,000 --> 00:14:34,880 Speaker 1: According to the CBS News survey, fifty opposed this ruling, 235 00:14:34,920 --> 00:14:40,040 Speaker 1: including six of women, while seventy percent of Republicans support 236 00:14:40,200 --> 00:14:47,240 Speaker 1: Supreme courts action of Democrats disapprove. Coming up with the 237 00:14:47,280 --> 00:14:50,680 Speaker 1: boyfriend of Farina's founder Elizabeth Holmes, will he face the 238 00:14:50,760 --> 00:14:54,160 Speaker 1: same fate? A joury is deliberating the future of Sunny 239 00:14:54,240 --> 00:14:57,880 Speaker 1: Baldwani right now, We're gonna have the latest on the case. Next, 240 00:14:58,120 --> 00:15:09,360 Speaker 1: this is Bloomberg. A jury is now deliberating in the 241 00:15:09,400 --> 00:15:12,760 Speaker 1: trial of Sonny ball Waming, the former second in command 242 00:15:12,920 --> 00:15:16,560 Speaker 1: at Sara No Nos and ex boyfriend to founder Elizabeth Holmes. 243 00:15:16,800 --> 00:15:19,120 Speaker 1: While Wanni's lawyers have done their best to try to 244 00:15:19,200 --> 00:15:23,000 Speaker 1: separate him from Holmes, who was found guilty of DEFRAUDI 245 00:15:23,040 --> 00:15:25,160 Speaker 1: investors back in January for more on the trial. I'm 246 00:15:25,240 --> 00:15:28,160 Speaker 1: joined by Bloomberg Stral Rosenblatt, who covered the Holmes trial 247 00:15:28,320 --> 00:15:30,400 Speaker 1: for US. And you were in the courtroom every day 248 00:15:30,440 --> 00:15:32,480 Speaker 1: for the trial of Elizabeth Holmes. You've been in there 249 00:15:32,520 --> 00:15:35,960 Speaker 1: for much of the trial of Sonny Ball Wanni. Have 250 00:15:36,120 --> 00:15:41,560 Speaker 1: lawyers been successful separating the two? You know, we're gonna 251 00:15:41,560 --> 00:15:44,600 Speaker 1: find out. I'm not sure. It's just gonna be interesting 252 00:15:44,640 --> 00:15:49,920 Speaker 1: to see what what jurors think. Uh. Elizabeth Holmes has 253 00:15:50,080 --> 00:15:53,320 Speaker 1: loomed large over this trial. I was in closing arguments 254 00:15:53,400 --> 00:15:57,560 Speaker 1: last week and on one day alone in in his 255 00:15:57,680 --> 00:16:03,920 Speaker 1: lawyers closing arguments, she was mentioned nineties six times. So 256 00:16:03,920 --> 00:16:07,280 Speaker 1: so they're they're trying what what Sonny's lawyers are trying 257 00:16:07,320 --> 00:16:10,600 Speaker 1: to do. I say that he too was defrauded by 258 00:16:10,640 --> 00:16:14,120 Speaker 1: Elizabeth Holmes, that that she tricked him to. That's what 259 00:16:14,200 --> 00:16:17,800 Speaker 1: they're trying to pull off. Um, I think that's going 260 00:16:17,840 --> 00:16:22,920 Speaker 1: to be unsuccessful. The jury was instructed to separate the two, 261 00:16:23,560 --> 00:16:28,360 Speaker 1: and so you wonder if it's actually gonna work. Yeah, 262 00:16:28,840 --> 00:16:31,000 Speaker 1: that's to me the kind of the real conundrum of 263 00:16:31,040 --> 00:16:34,560 Speaker 1: this trial and confusing for jurors because they got an instruction. 264 00:16:34,680 --> 00:16:36,960 Speaker 1: I sent you the instructions up. I don't enough you're 265 00:16:37,120 --> 00:16:41,640 Speaker 1: able to show that, but asked yours to to not 266 00:16:41,760 --> 00:16:46,440 Speaker 1: consider any fact or aspect of Elizabeth Holmes's trial. And 267 00:16:46,520 --> 00:16:50,080 Speaker 1: that's you know, read very legally and very technically. You're 268 00:16:50,120 --> 00:16:54,160 Speaker 1: not supposed to consider the trial. That's okay, that's the instruction. 269 00:16:54,680 --> 00:16:59,600 Speaker 1: But she has permeated this entire affair and the trial. 270 00:16:59,640 --> 00:17:02,240 Speaker 1: And I said, she's been mentioned so many times that 271 00:17:02,320 --> 00:17:06,000 Speaker 1: it's impossible for them to to to I think, separate 272 00:17:06,040 --> 00:17:07,720 Speaker 1: the two of them out, and that's part of the 273 00:17:07,720 --> 00:17:10,600 Speaker 1: reason he's in so much trouble. What is your perception 274 00:17:10,880 --> 00:17:15,840 Speaker 1: after spending so much time in the courtroom, you know, 275 00:17:16,200 --> 00:17:18,520 Speaker 1: is it clear that one had more of a role 276 00:17:18,720 --> 00:17:23,159 Speaker 1: than another, or were they working in tandem? You know, 277 00:17:24,320 --> 00:17:27,320 Speaker 1: some of these lawyers have said that he joined much later. 278 00:17:27,480 --> 00:17:30,840 Speaker 1: She founded the company and he joined years later. Um, 279 00:17:31,119 --> 00:17:33,640 Speaker 1: that's another way that his lawyers have tried to say 280 00:17:33,880 --> 00:17:36,480 Speaker 1: this was her company and he kind of just got 281 00:17:36,560 --> 00:17:40,560 Speaker 1: duped or got pulled in. But the we've seen the 282 00:17:40,680 --> 00:17:45,280 Speaker 1: same texts and the same emails that were shown at 283 00:17:45,480 --> 00:17:49,639 Speaker 1: Elizabeth Holmes trial, showing how tight they were that even 284 00:17:50,200 --> 00:17:52,359 Speaker 1: he was the president of the company, she was CEO. 285 00:17:52,800 --> 00:17:56,159 Speaker 1: But even in that kind, in those titles, they just 286 00:17:56,280 --> 00:17:59,919 Speaker 1: held a very special place at the company, special roles. 287 00:18:00,280 --> 00:18:03,399 Speaker 1: They held onto information that only they could see or 288 00:18:03,440 --> 00:18:07,560 Speaker 1: they decided who could see what. So they were in tandem. 289 00:18:07,760 --> 00:18:11,480 Speaker 1: And that's that's that's what geors are going to see, 290 00:18:11,480 --> 00:18:13,040 Speaker 1: and that's what they're going to contemplate it. And does 291 00:18:13,040 --> 00:18:16,480 Speaker 1: he face the same potential sentence he does. I mean, 292 00:18:16,520 --> 00:18:18,679 Speaker 1: part of the reasons she hasn't been sentenced yet is 293 00:18:18,720 --> 00:18:22,080 Speaker 1: because the judge wants to figure out his role in 294 00:18:22,160 --> 00:18:26,200 Speaker 1: relationship to hers. They look to be so closely aligned 295 00:18:26,640 --> 00:18:29,640 Speaker 1: that I think they're both facing between eight and ten 296 00:18:29,720 --> 00:18:33,800 Speaker 1: years of prison. Interesting now, Elizabeth Holmes, the deliberations took 297 00:18:33,920 --> 00:18:37,000 Speaker 1: much longer than any of us expected. Do you think 298 00:18:37,040 --> 00:18:39,919 Speaker 1: that's going to happen here? Yeah, this trial is just 299 00:18:40,080 --> 00:18:43,200 Speaker 1: kind of it's just very different. It's been much quieter. 300 00:18:43,480 --> 00:18:46,119 Speaker 1: So you don't have the media showing up at two 301 00:18:46,200 --> 00:18:48,840 Speaker 1: am dressed like Elizabeth Holmes. You don't have that. You 302 00:18:48,920 --> 00:18:52,040 Speaker 1: don't have that the the courtrooms are actually very quiet 303 00:18:52,040 --> 00:18:54,960 Speaker 1: and almost empty. His family is sitting right behind him, 304 00:18:55,359 --> 00:18:59,760 Speaker 1: just packed together, even though there's space in the courtroom. Um, 305 00:18:59,800 --> 00:19:02,879 Speaker 1: I you know what they're seeing is it's really a 306 00:19:02,960 --> 00:19:05,760 Speaker 1: very different trial. I mean there's the same facts, but 307 00:19:06,160 --> 00:19:08,320 Speaker 1: there's not this kind of energy, not this kind of 308 00:19:08,400 --> 00:19:11,639 Speaker 1: pressure that I know. Jurors in the Homeless trial I 309 00:19:11,640 --> 00:19:14,439 Speaker 1: was speaking to them afterwards felt to to make a 310 00:19:14,440 --> 00:19:17,880 Speaker 1: decision and make the right decision. I think here they 311 00:19:17,880 --> 00:19:20,720 Speaker 1: could decide it kind of easier and without the pressure. 312 00:19:21,000 --> 00:19:26,240 Speaker 1: So interesting, not as long I'm expecting. Well, keep following. 313 00:19:26,520 --> 00:19:36,480 Speaker 1: Have you back when there is one? Thank you. This 314 00:19:36,680 --> 00:19:39,720 Speaker 1: is a moment that feels that it has been twelve 315 00:19:39,880 --> 00:19:41,959 Speaker 1: years in the making, and if you look at today's 316 00:19:41,960 --> 00:19:46,399 Speaker 1: technology companies, the very very large majority of will survive it. 317 00:19:46,720 --> 00:19:50,280 Speaker 1: The question is do they have a strategy to thrive afterwards. 318 00:19:50,280 --> 00:19:52,240 Speaker 1: The best time to start a company is where do 319 00:19:52,240 --> 00:19:54,480 Speaker 1: you notice such it? It's clear right now the market 320 00:19:54,800 --> 00:19:57,080 Speaker 1: is going to reward real companies to build real things 321 00:19:57,080 --> 00:19:59,240 Speaker 1: and make real earnings. Now we are going into a 322 00:19:59,320 --> 00:20:02,719 Speaker 1: world where we're going to have to be more discerning. 323 00:20:02,880 --> 00:20:06,760 Speaker 1: I think that the place of opportunity today that We're 324 00:20:06,840 --> 00:20:11,359 Speaker 1: quite focused on continue to be uh is on cyber security. 325 00:20:11,600 --> 00:20:15,040 Speaker 1: I would say, you know, pick sectors that are essential businesses, 326 00:20:15,480 --> 00:20:20,679 Speaker 1: essential markets, government perhaps draw also think the future work 327 00:20:21,359 --> 00:20:24,239 Speaker 1: continues to be a place of great opportunity. A lot 328 00:20:24,280 --> 00:20:27,120 Speaker 1: of companies will will be absorbed in. Other companies will 329 00:20:27,240 --> 00:20:32,280 Speaker 1: just disappear um. But at the end, typically a situation 330 00:20:32,320 --> 00:20:34,800 Speaker 1: like this creates a lot of new growth. So there 331 00:20:34,840 --> 00:20:38,639 Speaker 1: are bright spots, but no question we're in for choppy times. 332 00:20:40,200 --> 00:20:42,159 Speaker 1: Welcome back to bloom More Technology and Emily Chin in 333 00:20:42,160 --> 00:20:45,360 Speaker 1: San Francisco. Snapshots there of the reactions we've gotten from 334 00:20:45,400 --> 00:20:48,560 Speaker 1: investors and CEOs right here on our show about their 335 00:20:48,600 --> 00:20:51,480 Speaker 1: outlook on the market downturn, what the next big thing 336 00:20:51,760 --> 00:20:54,800 Speaker 1: could be. This has data from CB Insights shows that 337 00:20:54,960 --> 00:20:58,920 Speaker 1: private capital back startups raised far fewer rounds of funding 338 00:20:58,960 --> 00:21:01,560 Speaker 1: in the last three months they did late last year 339 00:21:01,600 --> 00:21:03,840 Speaker 1: early this year. I want to stick with this now 340 00:21:03,880 --> 00:21:06,399 Speaker 1: and bringing Phil Haslett for more on it. He's a 341 00:21:06,400 --> 00:21:09,760 Speaker 1: founder in chief strategy officeer for equities and so first 342 00:21:09,800 --> 00:21:11,960 Speaker 1: of all, Phil, we hadge back on the show in March. 343 00:21:12,000 --> 00:21:13,959 Speaker 1: Where do you think we are right now in the 344 00:21:14,000 --> 00:21:18,440 Speaker 1: cycle of this particular downturn, Yeah, I think we've continued 345 00:21:18,480 --> 00:21:20,960 Speaker 1: the trend since we last spoken March, which is that 346 00:21:21,200 --> 00:21:23,840 Speaker 1: you know, private valuations tend to lag a little bit 347 00:21:23,880 --> 00:21:26,359 Speaker 1: behind public ones, and we're just kind of starting to 348 00:21:26,400 --> 00:21:29,120 Speaker 1: see that reality set in through Q two as observed 349 00:21:29,119 --> 00:21:32,160 Speaker 1: through some of the CD Insights data. Something that we've 350 00:21:32,160 --> 00:21:35,000 Speaker 1: seen on our side is that maybe if companies were 351 00:21:35,000 --> 00:21:37,560 Speaker 1: trading on the equities and platform in the secondaries, that 352 00:21:37,600 --> 00:21:41,120 Speaker 1: maybe discount and Q one to the most recent funding ground. 353 00:21:41,240 --> 00:21:43,440 Speaker 1: We're seeing that to continue to go downwards towards maybe 354 00:21:43,440 --> 00:21:46,000 Speaker 1: the forty to six percent drop, which again is kind 355 00:21:46,000 --> 00:21:48,080 Speaker 1: of reflective what we're seeing in the public markets. So 356 00:21:48,280 --> 00:21:50,560 Speaker 1: I think we uh may be reaching the bottom here, 357 00:21:50,560 --> 00:21:52,560 Speaker 1: but we've we've certainly kind of continued the slide over 358 00:21:52,600 --> 00:21:55,760 Speaker 1: the past few months. Some venture capitalists are recommending not 359 00:21:55,920 --> 00:21:58,080 Speaker 1: just one to two years of runway, but three to 360 00:21:58,160 --> 00:22:00,440 Speaker 1: four years of runway. I mean, can start ups really 361 00:22:00,480 --> 00:22:04,040 Speaker 1: handled that when their businesses are already getting a hit? Yeah, 362 00:22:04,119 --> 00:22:06,200 Speaker 1: it's an easy thing for a bunch of venture capitalists 363 00:22:06,200 --> 00:22:08,840 Speaker 1: to say. I think it's no company was really prepared 364 00:22:09,200 --> 00:22:11,880 Speaker 1: to have three to four years of cash um as 365 00:22:11,920 --> 00:22:13,720 Speaker 1: a startup, the same way that no company back in 366 00:22:13,760 --> 00:22:17,200 Speaker 1: cobD was really prepared for an environment with zero revenue 367 00:22:17,240 --> 00:22:19,720 Speaker 1: for a period of time. So I think that's a 368 00:22:19,720 --> 00:22:22,119 Speaker 1: bit unrealistic. I think what you will see is kind 369 00:22:22,119 --> 00:22:25,360 Speaker 1: of a definite shift in atitude and how companies are 370 00:22:25,400 --> 00:22:28,000 Speaker 1: sending money. In particular, UM, one of the things they 371 00:22:28,000 --> 00:22:31,080 Speaker 1: can control, has already kind of observed by UM some 372 00:22:31,160 --> 00:22:34,920 Speaker 1: pretty significant headcount reductions. You know, we we've seen that that. 373 00:22:35,080 --> 00:22:37,560 Speaker 1: You know, compensation really is the majority of stend for 374 00:22:37,600 --> 00:22:39,640 Speaker 1: most of these technology companies, so will expect to see 375 00:22:39,680 --> 00:22:42,400 Speaker 1: that continue. So let's talk to us. Uh So, talk 376 00:22:42,440 --> 00:22:44,280 Speaker 1: to us about these folks who are getting laid off. 377 00:22:44,320 --> 00:22:47,160 Speaker 1: A lot of people don't understand that employees who work 378 00:22:47,160 --> 00:22:49,720 Speaker 1: at startups. You know, half of the upside is the 379 00:22:49,720 --> 00:22:52,560 Speaker 1: equity in those startups, But you have to buy that 380 00:22:52,600 --> 00:22:56,520 Speaker 1: equity in order to benefit from that upside, often before 381 00:22:56,720 --> 00:22:58,760 Speaker 1: you know if the startup is going to be a 382 00:22:58,760 --> 00:23:01,920 Speaker 1: success or not. So when you get laid off from 383 00:23:01,920 --> 00:23:05,080 Speaker 1: a company, you have a very short window oftentimes in 384 00:23:05,160 --> 00:23:08,520 Speaker 1: order to buy that equity. Can you explain to us 385 00:23:08,560 --> 00:23:12,399 Speaker 1: what these laid off employees are going through right now? Yeah? Absolutely, 386 00:23:12,400 --> 00:23:14,560 Speaker 1: it's you know, it's a tough time. You know, it 387 00:23:14,640 --> 00:23:16,919 Speaker 1: starts off by getting laid off, which is obviously a 388 00:23:16,920 --> 00:23:20,520 Speaker 1: big hit to someone's or financial future. UM. It's compounded 389 00:23:20,560 --> 00:23:22,720 Speaker 1: by the fact that most of these employees, as you mentioned, 390 00:23:23,160 --> 00:23:25,840 Speaker 1: are issued you know, stock options, which basically give them 391 00:23:25,880 --> 00:23:28,880 Speaker 1: the rights to purchase shares of the company they work for. UM. 392 00:23:28,920 --> 00:23:31,399 Speaker 1: And that's usually a really big hook uh and and 393 00:23:31,480 --> 00:23:34,960 Speaker 1: incentive for for these employees to have joined the companies. Unfortunately, 394 00:23:35,040 --> 00:23:36,800 Speaker 1: most of the rules around this say that you have 395 00:23:36,960 --> 00:23:41,480 Speaker 1: ninety days to basically buy those shares after you've left 396 00:23:41,480 --> 00:23:43,639 Speaker 1: the company or even if you're terminated. So you can 397 00:23:43,680 --> 00:23:47,119 Speaker 1: kind of imagine this really unfortunate scenario where hundreds or 398 00:23:47,200 --> 00:23:49,560 Speaker 1: thousands of employees are getting laid off and are then 399 00:23:49,600 --> 00:23:51,879 Speaker 1: given a really short window to decide if they should 400 00:23:52,560 --> 00:23:54,960 Speaker 1: pay money out of pocket and incur a tax bill 401 00:23:55,040 --> 00:23:57,520 Speaker 1: to own their stock or not. Right, it's it's really 402 00:23:57,600 --> 00:23:59,320 Speaker 1: uncertain to know if your company is going to be 403 00:23:59,359 --> 00:24:02,120 Speaker 1: successful this point, whereas maybe nine or twelve months ago 404 00:24:02,119 --> 00:24:04,320 Speaker 1: it felt like a complete no brainer. UM. And so 405 00:24:04,359 --> 00:24:06,720 Speaker 1: we're starting to see some more and more active conversations 406 00:24:06,720 --> 00:24:10,320 Speaker 1: between companies and between secondary platforms like equities and and 407 00:24:10,359 --> 00:24:12,520 Speaker 1: also between companies and their employees to see if they 408 00:24:12,520 --> 00:24:15,080 Speaker 1: can kind of help UM solve this problem, which is 409 00:24:15,080 --> 00:24:18,640 Speaker 1: obviously a pretty meaningful one. Then you have a company 410 00:24:18,680 --> 00:24:22,640 Speaker 1: like Bolt, the high flying e commerce startup that actually 411 00:24:22,680 --> 00:24:27,080 Speaker 1: gave employees an option to buy their shares early. I 412 00:24:27,119 --> 00:24:30,840 Speaker 1: wonder if those employees are now in a horrible or 413 00:24:30,960 --> 00:24:34,520 Speaker 1: very precarious financial situation because they took that bet and 414 00:24:34,600 --> 00:24:38,000 Speaker 1: now it's not panning out at least not now, as 415 00:24:38,440 --> 00:24:41,280 Speaker 1: they absolutely are. And and actually, when that proposal came 416 00:24:41,320 --> 00:24:44,440 Speaker 1: out from from UH both financial whatever, it was maybe 417 00:24:44,520 --> 00:24:48,320 Speaker 1: four or five months ago, a lot of the venture capitalists, 418 00:24:48,320 --> 00:24:50,600 Speaker 1: particularly ones that had gone through the dot com crash 419 00:24:50,600 --> 00:24:53,320 Speaker 1: in two thousand, waved as many red flags as they 420 00:24:53,359 --> 00:24:55,600 Speaker 1: possibly could to say, you know, this can end very 421 00:24:55,640 --> 00:24:58,240 Speaker 1: poorly when markets kind of turned on their head UM. 422 00:24:58,280 --> 00:25:00,359 Speaker 1: And so while it is one idea it to kind 423 00:25:00,359 --> 00:25:02,760 Speaker 1: of help employees with donating their stock, we can kind 424 00:25:02,760 --> 00:25:04,600 Speaker 1: of think of many other solutions that I think are 425 00:25:04,640 --> 00:25:07,560 Speaker 1: a little bit more palatable for for companies to enact 426 00:25:07,600 --> 00:25:09,520 Speaker 1: for their employees. I would say kind of the two 427 00:25:09,720 --> 00:25:12,880 Speaker 1: easiest ones to do UM are that, you know, companies 428 00:25:12,920 --> 00:25:16,560 Speaker 1: can proactively kind of convert the equity compensation to give 429 00:25:16,600 --> 00:25:19,439 Speaker 1: to employees at departure to actually extend that amount of 430 00:25:19,440 --> 00:25:21,800 Speaker 1: time where they have to exercise to own their shares. 431 00:25:22,040 --> 00:25:24,680 Speaker 1: That's something we saw from pinterest, and we saw from 432 00:25:24,720 --> 00:25:27,840 Speaker 1: coin based many years ago, um while they were private, 433 00:25:27,840 --> 00:25:30,000 Speaker 1: and I think it was very well received. And something 434 00:25:30,040 --> 00:25:33,199 Speaker 1: that we work on with companies is that we can 435 00:25:33,240 --> 00:25:35,920 Speaker 1: help companies elect to allow employees, you know, to sell 436 00:25:35,960 --> 00:25:38,600 Speaker 1: some of their shares you know, through secondary transactions and 437 00:25:38,680 --> 00:25:42,120 Speaker 1: private transactions to help you cover the cost of any 438 00:25:42,200 --> 00:25:45,760 Speaker 1: exercise or any tax and uh implications as well. The 439 00:25:45,840 --> 00:25:47,359 Speaker 1: last one I think that we'll see that that we 440 00:25:47,440 --> 00:25:49,960 Speaker 1: talked about a bit before, was that companies can actually 441 00:25:49,960 --> 00:25:52,440 Speaker 1: redo kind of their fair market valuation, which is what's 442 00:25:52,520 --> 00:25:55,960 Speaker 1: used to determine tax implications and also the price of 443 00:25:56,040 --> 00:25:58,240 Speaker 1: which you get your stock options. And we saw companies 444 00:25:58,280 --> 00:26:00,160 Speaker 1: like instat cart do that and I expect and hope 445 00:26:00,160 --> 00:26:02,520 Speaker 1: to seem any more do that as well. So what's 446 00:26:02,520 --> 00:26:05,880 Speaker 1: your advice to employees right now, say they've just gotten 447 00:26:05,920 --> 00:26:08,280 Speaker 1: laid off, they don't know what to do, should they 448 00:26:08,280 --> 00:26:12,120 Speaker 1: buy the stock or not? How do they evaluate this decision? Yeah, 449 00:26:12,240 --> 00:26:15,119 Speaker 1: it's a tough one. Uh. My first advice would be 450 00:26:15,160 --> 00:26:17,159 Speaker 1: to kind of ask the company, what, you know, what 451 00:26:17,320 --> 00:26:19,480 Speaker 1: choices they do have with their equity? Is it really 452 00:26:19,520 --> 00:26:21,679 Speaker 1: just ninety days? Um? The second thing I would ask 453 00:26:21,760 --> 00:26:24,440 Speaker 1: is if the company is aware of investors that maybe 454 00:26:24,440 --> 00:26:26,400 Speaker 1: are already on the company's cap table that are looking 455 00:26:26,440 --> 00:26:28,439 Speaker 1: to grow their position that can help with liquidity. I 456 00:26:28,480 --> 00:26:31,000 Speaker 1: think that's absolutely the first one. And then the last one, 457 00:26:31,040 --> 00:26:32,920 Speaker 1: which is obviously a little self serving, is to kind 458 00:26:32,920 --> 00:26:35,600 Speaker 1: of explore what options you have within the secondary markets 459 00:26:35,640 --> 00:26:38,439 Speaker 1: to get liquidity for your shares um As you know, 460 00:26:38,640 --> 00:26:40,760 Speaker 1: while the markets have taken a turn, we have seen 461 00:26:40,800 --> 00:26:43,199 Speaker 1: a lot of investor interests, particularly at these lower prices 462 00:26:43,240 --> 00:26:45,720 Speaker 1: for companies that they wanted to invest in for years 463 00:26:45,720 --> 00:26:47,919 Speaker 1: that they finally feel like are more fairly valued. So 464 00:26:48,400 --> 00:26:50,760 Speaker 1: I encourage employees to kind of start having those conversations 465 00:26:50,760 --> 00:26:54,600 Speaker 1: as soon as possible. Interesting, all right, Phil has Let, founder, 466 00:26:54,680 --> 00:26:58,480 Speaker 1: chief strategy officer at Equities and lots to consider. Appreciate 467 00:26:58,520 --> 00:27:00,520 Speaker 1: you taking the time to walk through all that. With 468 00:27:00,600 --> 00:27:04,840 Speaker 1: us coming up the crypto futures exchange that just halted 469 00:27:05,040 --> 00:27:08,560 Speaker 1: all withdrawals, we'll speak to coin Flex CEO Mark Lamb 470 00:27:08,680 --> 00:27:13,359 Speaker 1: exclusively about what happened and how fast they can fix it. 471 00:27:13,680 --> 00:27:30,119 Speaker 1: That's next. This is Bloomberg and it's time now for 472 00:27:30,240 --> 00:27:32,160 Speaker 1: our crypto report, and I want to take a look 473 00:27:32,200 --> 00:27:36,119 Speaker 1: at the crypto liquidity as a wave of liquidations gives 474 00:27:36,240 --> 00:27:40,480 Speaker 1: rise to even more fear. Selsie has started freezing withdrawals 475 00:27:40,520 --> 00:27:42,800 Speaker 1: earlier this month, and then a vague tweet by a 476 00:27:42,880 --> 00:27:46,080 Speaker 1: founder of the crypto hedge fund Three Arrows Capital, which 477 00:27:46,160 --> 00:27:49,960 Speaker 1: is facing its own liquidity troubles, created even more anxiety. 478 00:27:50,080 --> 00:27:54,560 Speaker 1: Then came babbled finance pausing withdrawals. Now coin flix Flex, 479 00:27:54,600 --> 00:27:57,720 Speaker 1: the crypto physical futures exchanges in the spotlight. Our crypto 480 00:27:57,720 --> 00:28:01,760 Speaker 1: contributortionally Bossa here to give us the lay of the land, Shinali. Yeah, 481 00:28:01,800 --> 00:28:04,800 Speaker 1: something interesting here, Emily is then, in addition to the 482 00:28:04,960 --> 00:28:06,960 Speaker 1: situations that you had talked about, when it comes to 483 00:28:06,960 --> 00:28:10,480 Speaker 1: coin flex, the counterparty was not Three Arrows Capital or 484 00:28:10,600 --> 00:28:13,320 Speaker 1: another lending firm. We're going to get some more details 485 00:28:13,320 --> 00:28:15,320 Speaker 1: about that in just a second. But just as equally 486 00:28:15,359 --> 00:28:18,440 Speaker 1: interesting here is how the industry is being shored up 487 00:28:18,440 --> 00:28:21,560 Speaker 1: in the middle of this crypto winter and liquidity crunch. 488 00:28:21,920 --> 00:28:23,800 Speaker 1: We're going to talk about just how that's going to 489 00:28:23,840 --> 00:28:26,960 Speaker 1: happen now with Mark Lamb, the CEO of coin Flex. 490 00:28:27,280 --> 00:28:31,399 Speaker 1: Coin Flex is looking to bring back their operations in 491 00:28:31,480 --> 00:28:36,800 Speaker 1: more normal form of resuming with withdrawals by Thursday June. 492 00:28:36,920 --> 00:28:39,000 Speaker 1: And one of the ways that you said to me 493 00:28:39,120 --> 00:28:42,040 Speaker 1: today that you're planning on doing that is by issuing 494 00:28:42,280 --> 00:28:45,880 Speaker 1: a new token that is almost fifty million, it's forty 495 00:28:45,880 --> 00:28:50,719 Speaker 1: seven million dollars worth with a twenty percent yield. That 496 00:28:50,880 --> 00:28:54,040 Speaker 1: is a large return to investors who would get into 497 00:28:54,040 --> 00:28:57,920 Speaker 1: this token. But Mark, tell me, what does this token 498 00:28:57,960 --> 00:29:02,040 Speaker 1: actually represent? Who isn't making whole? How is it making 499 00:29:02,080 --> 00:29:05,920 Speaker 1: them whole? And what happens if you can't raise that money? Yeah? 500 00:29:05,920 --> 00:29:11,000 Speaker 1: Sure so um at coin flex fundamentally we believe in markets, 501 00:29:11,000 --> 00:29:15,440 Speaker 1: transparency and token ization. So we've done that with one 502 00:29:15,480 --> 00:29:18,440 Speaker 1: of our other products, flex USD. It's uh, it's it's 503 00:29:18,520 --> 00:29:22,040 Speaker 1: on markets, it's it's it's funding a market, our repo market, 504 00:29:22,320 --> 00:29:24,480 Speaker 1: and it's a token. And we're doing that again here 505 00:29:24,920 --> 00:29:28,680 Speaker 1: with the Recovery Value us D SO r v U 506 00:29:28,800 --> 00:29:31,880 Speaker 1: s D. It's a way for us to use token 507 00:29:31,920 --> 00:29:35,120 Speaker 1: ization to solve this problem where we have this asset 508 00:29:35,280 --> 00:29:39,000 Speaker 1: which is UM. It's an ultra highnet worth individual UM. 509 00:29:39,320 --> 00:29:42,920 Speaker 1: They they owe us these funds UM. We do believe 510 00:29:42,960 --> 00:29:44,960 Speaker 1: that they're going to get us these funds at some 511 00:29:45,000 --> 00:29:48,920 Speaker 1: point in the future, and we wanted to make it 512 00:29:49,000 --> 00:29:52,600 Speaker 1: such that the assets UM all match up and everything 513 00:29:52,680 --> 00:29:55,160 Speaker 1: matches up in a way where it's a market based 514 00:29:55,520 --> 00:29:58,880 Speaker 1: and we pass on this risk to investors that are 515 00:29:59,400 --> 00:30:02,120 Speaker 1: understand what the risk is and and are eager for 516 00:30:02,280 --> 00:30:06,320 Speaker 1: this risk, and basically UM solve the problem right now, 517 00:30:06,360 --> 00:30:09,480 Speaker 1: we can't have withdrawals UM. There are lots of different 518 00:30:09,520 --> 00:30:13,600 Speaker 1: ways of solving these problems in in crypto finance, and 519 00:30:13,680 --> 00:30:16,600 Speaker 1: crypto generally is on the cutting edge of finance. And 520 00:30:17,120 --> 00:30:20,440 Speaker 1: one of the ways that UM hasn't been as successful 521 00:30:20,480 --> 00:30:22,800 Speaker 1: in the past is when companies put their head in 522 00:30:22,840 --> 00:30:26,360 Speaker 1: the sand or refuse to communicate or go high behind 523 00:30:26,400 --> 00:30:30,320 Speaker 1: the excuse of lawyers. UM rather than treating lawyers as 524 00:30:30,480 --> 00:30:35,040 Speaker 1: as advisors and consigliarias in creating solutions that resolve the 525 00:30:35,040 --> 00:30:38,280 Speaker 1: problem extremely quickly and and also in a way where 526 00:30:38,560 --> 00:30:41,960 Speaker 1: more people get to participate in the solution. Mark, assuming 527 00:30:42,040 --> 00:30:45,120 Speaker 1: that this does work, that you're able to raise this 528 00:30:45,240 --> 00:30:49,240 Speaker 1: token and withdrawals do begin again on June, are you 529 00:30:49,360 --> 00:30:51,760 Speaker 1: afraid that you will face a run on the bank 530 00:30:51,880 --> 00:30:54,680 Speaker 1: in that kind of a scenario. We're not worried about 531 00:30:54,720 --> 00:31:01,320 Speaker 1: that scenario because upon this fundraise being concluded, um, everyone 532 00:31:01,360 --> 00:31:04,760 Speaker 1: can withdraw and and so we want everything to be 533 00:31:04,880 --> 00:31:08,000 Speaker 1: always mashed at all times. And you know, in situations 534 00:31:08,000 --> 00:31:10,600 Speaker 1: where that isn't, we have to intervene. We have to 535 00:31:10,600 --> 00:31:14,080 Speaker 1: do these things. We are going forward, We're going to 536 00:31:14,120 --> 00:31:17,240 Speaker 1: take even further steps on making every aspect of the 537 00:31:17,280 --> 00:31:22,000 Speaker 1: exchange transparent, including the futures positions, the notional value not 538 00:31:22,120 --> 00:31:25,120 Speaker 1: the specific coin, but the notional value of every account's 539 00:31:25,160 --> 00:31:29,840 Speaker 1: positions public via an external auditing firm, and also the 540 00:31:29,880 --> 00:31:34,440 Speaker 1: margin backing those positions. And we think that ultimately that's 541 00:31:34,480 --> 00:31:37,360 Speaker 1: in line with our you know, our ethos from day one, 542 00:31:37,480 --> 00:31:41,440 Speaker 1: we've we've wanted everything to be market based, transparent and tokenized. 543 00:31:42,560 --> 00:31:45,560 Speaker 1: What's our longer term plan mark to make sure that 544 00:31:45,760 --> 00:31:48,400 Speaker 1: if we experience this kind of volatility in the market again, 545 00:31:48,400 --> 00:31:52,320 Speaker 1: and certainly the crypto market will experience this volatility again, 546 00:31:52,360 --> 00:31:56,000 Speaker 1: it is a volatile market, that this won't happen, that 547 00:31:56,080 --> 00:32:00,360 Speaker 1: it all doesn't come down to or depend on one individual. Yeah, 548 00:32:00,440 --> 00:32:03,440 Speaker 1: So part of the issue here was and this is 549 00:32:03,480 --> 00:32:06,760 Speaker 1: common practice in crypto and and really it originates from 550 00:32:06,760 --> 00:32:11,840 Speaker 1: traditional finance, but we had a customer on a personal 551 00:32:11,880 --> 00:32:16,200 Speaker 1: recourse based non liquidation account. UM. We will be eliminating 552 00:32:16,600 --> 00:32:20,080 Speaker 1: that type of account. We will also be making these 553 00:32:20,120 --> 00:32:23,040 Speaker 1: positions public and you won't just have to take our 554 00:32:23,080 --> 00:32:25,600 Speaker 1: word for it. We have an auditing firm that we're 555 00:32:25,600 --> 00:32:29,640 Speaker 1: going to be working with two have them published this data, 556 00:32:29,760 --> 00:32:32,280 Speaker 1: and this is much needed data in futures. There isn't 557 00:32:32,280 --> 00:32:36,520 Speaker 1: a single crypto futures exchange in the world, uh, including 558 00:32:36,520 --> 00:32:39,360 Speaker 1: here in the US UM that that makes this data 559 00:32:39,400 --> 00:32:44,680 Speaker 1: public around position sizes and the margin ratios, margin balances 560 00:32:44,800 --> 00:32:47,600 Speaker 1: and collateral backing those positions. And it is one of 561 00:32:47,600 --> 00:32:51,440 Speaker 1: those things where there's a balance between transparency and privacy. 562 00:32:51,560 --> 00:32:54,000 Speaker 1: Right now and Defy they've set the standard in terms 563 00:32:54,040 --> 00:32:58,000 Speaker 1: of transparency, and we need to do at least as 564 00:32:58,000 --> 00:33:01,280 Speaker 1: good as, if not much better than Defy with respect 565 00:33:01,320 --> 00:33:05,880 Speaker 1: to transparency so that depositors and users can feel comfortable trading. UM. 566 00:33:05,920 --> 00:33:09,040 Speaker 1: It has a damage to privacy, but we think that 567 00:33:09,320 --> 00:33:12,240 Speaker 1: traders are going to find that worthwhile for the you know, 568 00:33:12,280 --> 00:33:15,520 Speaker 1: the additional comfort that they get from knowing the risk 569 00:33:15,600 --> 00:33:18,959 Speaker 1: and the leverage implicit in the system. So what's your 570 00:33:18,960 --> 00:33:21,680 Speaker 1: message to customers right now. What's the level of confidence, 571 00:33:21,760 --> 00:33:24,880 Speaker 1: your level of confidence that in the three days between 572 00:33:24,880 --> 00:33:29,000 Speaker 1: now and June you're going to make that date. Yeah, 573 00:33:29,360 --> 00:33:33,320 Speaker 1: I'm highly confident. We have we have spoken to people 574 00:33:33,440 --> 00:33:37,360 Speaker 1: NonStop on on phone calls and in person meetings UH 575 00:33:37,560 --> 00:33:43,040 Speaker 1: since this issue arose, and UM, we have more than 576 00:33:43,080 --> 00:33:48,000 Speaker 1: half of the UH the amount needed in soft commitments 577 00:33:48,560 --> 00:33:52,280 Speaker 1: to UH to get this done. And so I'm I'm 578 00:33:52,360 --> 00:33:56,720 Speaker 1: highly confident that there's strong appetite from within the crypto 579 00:33:56,760 --> 00:34:00,320 Speaker 1: space and also in the broader institutional space in this 580 00:34:00,400 --> 00:34:04,360 Speaker 1: type of token. UM, it's not we're turning a problem 581 00:34:04,360 --> 00:34:09,919 Speaker 1: into an opportunity, and we're also UM, you know, we're 582 00:34:09,920 --> 00:34:13,600 Speaker 1: also turning that into an opportunity that gets resolution very 583 00:34:13,680 --> 00:34:17,879 Speaker 1: very quickly. You know. This this is something where at 584 00:34:17,880 --> 00:34:21,080 Speaker 1: the end of this offering, UM, you know, the problem 585 00:34:21,120 --> 00:34:23,880 Speaker 1: is solved within a matter of days. This is something 586 00:34:23,920 --> 00:34:27,400 Speaker 1: that's been done before in Crypto's history. UM, and and 587 00:34:27,480 --> 00:34:30,480 Speaker 1: it's been extremely successful when it's been done before in crypto. 588 00:34:30,719 --> 00:34:33,399 Speaker 1: What kind of treasure do you feel to reveal more 589 00:34:33,440 --> 00:34:36,440 Speaker 1: details about who this investor is who couldn't meet the 590 00:34:36,440 --> 00:34:40,600 Speaker 1: margin calls initially, especially when this new token is tied 591 00:34:40,680 --> 00:34:43,600 Speaker 1: to their fortunes. The people who will be investing in 592 00:34:43,640 --> 00:34:46,000 Speaker 1: this new token are doing it to make this other 593 00:34:46,040 --> 00:34:49,640 Speaker 1: investor that they don't know. Hal, Yeah, that's a that's 594 00:34:49,640 --> 00:34:52,520 Speaker 1: a great question. And look, I think the market is 595 00:34:52,600 --> 00:34:57,279 Speaker 1: always going to demand more and more transparency. So we're 596 00:34:57,400 --> 00:35:00,880 Speaker 1: going to be revealing as much information and as we 597 00:35:01,000 --> 00:35:04,320 Speaker 1: can as we're able to reveal that information. At this point, 598 00:35:04,719 --> 00:35:06,960 Speaker 1: this is you know, this is what we can give, 599 00:35:07,160 --> 00:35:11,880 Speaker 1: and we wanted to very very quickly, uh, be fully 600 00:35:11,880 --> 00:35:15,239 Speaker 1: transparent about what happened, how we're resolving it, and our 601 00:35:15,280 --> 00:35:20,080 Speaker 1: plan going forward to uh, you know, protect customers, uh 602 00:35:20,120 --> 00:35:22,799 Speaker 1: and and be fully transparent to customers about all the 603 00:35:22,880 --> 00:35:26,600 Speaker 1: leverage in the system and how it's collateralized. But I think, uh, 604 00:35:26,840 --> 00:35:29,080 Speaker 1: I think the market will demand that information. I think 605 00:35:29,080 --> 00:35:32,400 Speaker 1: the market will try to pursue that information, and uh, 606 00:35:32,520 --> 00:35:36,000 Speaker 1: you know, that's the beautiful and powerful thing about markets, 607 00:35:36,200 --> 00:35:40,319 Speaker 1: and that's the important thing about transparency, and uh, I 608 00:35:40,360 --> 00:35:43,200 Speaker 1: think that's what's going to happen going forward. This one customer, 609 00:35:43,239 --> 00:35:45,960 Speaker 1: I mean, how do you know whether he or she 610 00:35:46,120 --> 00:35:48,880 Speaker 1: can pay you back? How much confidence do you have 611 00:35:48,960 --> 00:35:51,759 Speaker 1: that you will get that money back? And what confidence 612 00:35:51,760 --> 00:35:54,440 Speaker 1: can you have customers that you would remain solvent and 613 00:35:54,480 --> 00:35:58,080 Speaker 1: be able to continue operations in normal form if they 614 00:35:58,120 --> 00:36:01,759 Speaker 1: can't pay you back. Yes, So we have alternative mechanisms 615 00:36:02,000 --> 00:36:05,880 Speaker 1: if if we're not able to conclude this raise, we 616 00:36:05,920 --> 00:36:08,799 Speaker 1: have alternative mechanisms we're looking at and we have on 617 00:36:08,840 --> 00:36:14,240 Speaker 1: the table. Um. Really the focus is on this mechanism 618 00:36:14,280 --> 00:36:18,080 Speaker 1: because it actually opens up a new type of asset 619 00:36:18,239 --> 00:36:21,920 Speaker 1: for customers to invest in. And UM, you know, I 620 00:36:21,960 --> 00:36:24,320 Speaker 1: think there's a lot of people very familiar with the situation. 621 00:36:24,400 --> 00:36:26,160 Speaker 1: I think there's a lot of people who you know, 622 00:36:26,640 --> 00:36:31,640 Speaker 1: want access to this type of yield. So it's again, 623 00:36:31,880 --> 00:36:34,120 Speaker 1: we want to turn this into an opportunity for people. 624 00:36:34,480 --> 00:36:37,239 Speaker 1: We want to be totally transparent about what happened, and 625 00:36:37,280 --> 00:36:41,480 Speaker 1: we also want to make it clear um going forward, Ah, 626 00:36:42,680 --> 00:36:45,200 Speaker 1: every bit of data about the inner workings of our 627 00:36:45,239 --> 00:36:47,719 Speaker 1: exchange is going to be public. You know. We we 628 00:36:47,760 --> 00:36:51,000 Speaker 1: already um are extremely public about all the data in 629 00:36:51,000 --> 00:36:53,480 Speaker 1: our exchange, but this is an area for us to 630 00:36:54,000 --> 00:36:57,600 Speaker 1: go even further and even more cutting edge on the transparency. 631 00:36:57,640 --> 00:37:01,799 Speaker 1: Know all right, Mark Lambs of coin Plex coin Flex, 632 00:37:01,840 --> 00:37:04,719 Speaker 1: thank you Mark for coming and sharing your side. What's 633 00:37:04,760 --> 00:37:08,440 Speaker 1: happening with us along with our very own shot. Appreciate it. 634 00:37:16,760 --> 00:37:20,439 Speaker 1: Short sellers reportedly have been ramping up their bets against Tether, 635 00:37:20,600 --> 00:37:23,560 Speaker 1: the world's largest stable coin, according to The Wall Street Journal. 636 00:37:23,600 --> 00:37:27,000 Speaker 1: More traditional hedge funds have executed trades to short Tether 637 00:37:27,160 --> 00:37:30,960 Speaker 1: through Genesis Global Trading, one of the largest crypto brokerage 638 00:37:31,280 --> 00:37:35,200 Speaker 1: brokerages for professional investors. Some hedge funds are shorting Tether 639 00:37:35,440 --> 00:37:40,640 Speaker 1: as a bet about the broader economy and Taiwan's Global 640 00:37:40,680 --> 00:37:44,719 Speaker 1: Wafers plans to build a semiconductor silicon wafer plant in 641 00:37:44,920 --> 00:37:47,880 Speaker 1: Texas that will be the biggest of its kind on 642 00:37:47,920 --> 00:37:50,719 Speaker 1: American soil. The company says the factory will close a 643 00:37:50,719 --> 00:37:53,640 Speaker 1: critical gap in the supply chain. The plant is being 644 00:37:53,640 --> 00:37:57,120 Speaker 1: built in Sherman, Texas, could support as many as fifteen 645 00:37:57,160 --> 00:38:01,280 Speaker 1: hundred jobs. And that doesn't for the citition of Bloomberg Technology. 646 00:38:01,280 --> 00:38:03,120 Speaker 1: We're gonna be back tomorrow. We've got some great guests 647 00:38:03,120 --> 00:38:06,120 Speaker 1: lined up. Arms CEO Renee Has will be here along 648 00:38:06,160 --> 00:38:10,279 Speaker 1: with Cloud Flares, Matthew Prince and this will be fun. 649 00:38:10,400 --> 00:38:13,960 Speaker 1: American sprinter and the most decorated US track and field 650 00:38:14,000 --> 00:38:18,399 Speaker 1: athlete in Olympic history, Alison Felix, she's got a tech 651 00:38:18,400 --> 00:38:21,480 Speaker 1: angle for you. We'll talk to her about that tomorrow. 652 00:38:22,120 --> 00:38:25,759 Speaker 1: And natally changing in San Francisco. This is Bloomberg