1 00:00:02,800 --> 00:00:06,160 Speaker 1: From the heart of where innovation, money and power collive 2 00:00:06,920 --> 00:00:11,399 Speaker 1: in Silicon Valley and beyond. This is Bloomberg Technology with 3 00:00:11,480 --> 00:00:27,240 Speaker 1: Emily jay I'm Emily Jang in San Francisco, and this 4 00:00:27,280 --> 00:00:29,680 Speaker 1: is Bloomberg Technology coming up in the next hour, from 5 00:00:29,800 --> 00:00:34,160 Speaker 1: largest shareholder to board member. How Elon Musk's sudden moves 6 00:00:34,200 --> 00:00:37,160 Speaker 1: at Twitter could raise alarm at the SEC We will 7 00:00:37,200 --> 00:00:41,840 Speaker 1: have all the details. Plus Uber adds flights, trains, even 8 00:00:41,880 --> 00:00:45,320 Speaker 1: hotels to a pilot program and it's super apt. Push 9 00:00:45,680 --> 00:00:47,880 Speaker 1: will tell you how CEO Dara kus Rashah he wants 10 00:00:47,880 --> 00:00:52,880 Speaker 1: to expand beyond rides and food delivery, and bitcoin is 11 00:00:52,920 --> 00:00:55,600 Speaker 1: now underway in Miami. We will bring you the latest 12 00:00:55,600 --> 00:00:57,440 Speaker 1: from the cryptoconference and catch up with some of the 13 00:00:57,480 --> 00:01:01,160 Speaker 1: attendees later this hour. The big are in tech, of course, 14 00:01:01,160 --> 00:01:03,960 Speaker 1: Elon Musk joining the board of Twitter twenty four hours 15 00:01:04,000 --> 00:01:06,520 Speaker 1: after his nine point two percent stake in the company 16 00:01:06,840 --> 00:01:09,800 Speaker 1: was disclosed. What does this mean from the platform's future? 17 00:01:09,840 --> 00:01:11,720 Speaker 1: I want to dig deeper into this with Daphney Keller, 18 00:01:12,120 --> 00:01:15,240 Speaker 1: director of the Program on Platform Regulation at the Stanford 19 00:01:15,319 --> 00:01:18,759 Speaker 1: Cyber Policy Center. Daphney, great to have you back with us. 20 00:01:18,760 --> 00:01:20,840 Speaker 1: So it's been a War one seventy two hours. In 21 00:01:20,920 --> 00:01:23,480 Speaker 1: just the last twenty four hours, Musk has now filed 22 00:01:23,959 --> 00:01:26,880 Speaker 1: to become an active investor in Twitter, not just a 23 00:01:26,920 --> 00:01:31,039 Speaker 1: passive investor, meaning that he will advocate for changes. What 24 00:01:31,120 --> 00:01:33,240 Speaker 1: influence do you think Musk will have on the platform? 25 00:01:33,319 --> 00:01:37,560 Speaker 1: How will Twitter change as a result of his board membership. Well, 26 00:01:37,600 --> 00:01:40,320 Speaker 1: I don't think anyone knows, and you know, there there 27 00:01:40,319 --> 00:01:42,560 Speaker 1: are a lot of predictions people could make. But one 28 00:01:42,600 --> 00:01:46,199 Speaker 1: thing that's particularly interesting is the possibility that he will 29 00:01:46,360 --> 00:01:52,640 Speaker 1: join Jack Dorsey and current CEO agerwal in promoting decentralized 30 00:01:52,760 --> 00:01:56,920 Speaker 1: models in you know, promoting ways to allow third parties 31 00:01:56,920 --> 00:02:00,600 Speaker 1: to come in and offer different content moderations systems on 32 00:02:00,640 --> 00:02:04,280 Speaker 1: top of Twitter or different content ranking systems, which would 33 00:02:04,280 --> 00:02:08,240 Speaker 1: be a really important ship that had happened. So Twitter's 34 00:02:08,280 --> 00:02:11,680 Speaker 1: Blue Sky project, which is this push for an open, 35 00:02:12,240 --> 00:02:16,240 Speaker 1: decentralized standard for social media that is funded by Twitter. 36 00:02:16,760 --> 00:02:19,480 Speaker 1: You know, is this something that you think Musk could 37 00:02:19,840 --> 00:02:25,040 Speaker 1: or would take on? And you know what specifically would 38 00:02:25,040 --> 00:02:29,160 Speaker 1: you be looking to change? Well, so the upside of 39 00:02:29,200 --> 00:02:32,080 Speaker 1: the project is that it would let Twitter users pick 40 00:02:32,200 --> 00:02:34,520 Speaker 1: the speech rules they want to live under. You know, 41 00:02:34,560 --> 00:02:37,720 Speaker 1: they could sign up for a Disney flavor, or a 42 00:02:37,800 --> 00:02:41,960 Speaker 1: church affiliated or Black Lives Matter affiliated flavor of the ranking, 43 00:02:42,240 --> 00:02:46,120 Speaker 1: or of the rules on harassment or violence or nudity. 44 00:02:46,480 --> 00:02:48,960 Speaker 1: So all of these things would allow Twitter to step 45 00:02:49,040 --> 00:02:52,440 Speaker 1: back from being the one gatekeeper that decides the speech 46 00:02:52,520 --> 00:02:55,600 Speaker 1: rules and bring in lots of different options for users. 47 00:02:55,880 --> 00:02:58,520 Speaker 1: So you can see Musk, who has talked about, you know, 48 00:02:58,560 --> 00:03:02,240 Speaker 1: open sourcing the algorithms and and is broadly interested in 49 00:03:02,320 --> 00:03:07,480 Speaker 1: decentralization liking that um. On the other hand, you can 50 00:03:07,520 --> 00:03:11,799 Speaker 1: see him liking consolidated control and preferring a world where 51 00:03:11,840 --> 00:03:14,680 Speaker 1: Twitter does set the rules. So I think you know, 52 00:03:14,760 --> 00:03:17,919 Speaker 1: it's it's a wait and see situation for sure. Could 53 00:03:17,960 --> 00:03:23,040 Speaker 1: this have repercussions for other social platforms like Facebook? Sure? 54 00:03:23,680 --> 00:03:26,200 Speaker 1: In a way, you can see Project Blue Sky, which 55 00:03:26,240 --> 00:03:30,080 Speaker 1: is about decentralizing rules, bringing in more decision makers and 56 00:03:30,120 --> 00:03:35,480 Speaker 1: more options for users, as like a counterpart of Facebook's 57 00:03:35,560 --> 00:03:40,760 Speaker 1: oversight Board. In both cases, it's platforms saying we're uneasy 58 00:03:40,920 --> 00:03:45,640 Speaker 1: being the deciders, especially on issues that divide the public 59 00:03:45,720 --> 00:03:47,760 Speaker 1: so much that somebody is going to be angry no 60 00:03:47,800 --> 00:03:49,840 Speaker 1: matter what we do, and so we would like to 61 00:03:50,040 --> 00:03:53,920 Speaker 1: hand that role to someone else. Facebook's answer was keep 62 00:03:53,960 --> 00:03:58,280 Speaker 1: it extremely centralized, funded with Facebook money, and build the 63 00:03:58,360 --> 00:04:02,720 Speaker 1: oversight board to decide cases. And Twitter's answer answer with 64 00:04:02,760 --> 00:04:07,280 Speaker 1: blues Styde potentially is to say, let's decentralize this, Let's 65 00:04:07,320 --> 00:04:09,760 Speaker 1: put lots of different people in charge and sort of 66 00:04:10,080 --> 00:04:13,000 Speaker 1: devolve control to the users that they can choose what 67 00:04:13,040 --> 00:04:16,440 Speaker 1: they want and move the costs, incidentally, of all this 68 00:04:16,720 --> 00:04:20,920 Speaker 1: content moderation out onto other competitors, so it's not sitting 69 00:04:20,960 --> 00:04:24,720 Speaker 1: with Twitter where it's very expensive and very difficult as 70 00:04:24,720 --> 00:04:27,680 Speaker 1: part of their business. Right now, now, the biggest, perhaps 71 00:04:27,720 --> 00:04:31,080 Speaker 1: most existential question is what could this mean for free 72 00:04:31,120 --> 00:04:34,719 Speaker 1: speech on Twitter and in general. Take a listen to 73 00:04:35,240 --> 00:04:38,719 Speaker 1: a professor Jennifer Grigel from Syracuse University when I asked 74 00:04:38,720 --> 00:04:42,560 Speaker 1: her how this could change how Twitter handles free speech. 75 00:04:43,839 --> 00:04:47,240 Speaker 1: This really isn't about free speech. If anything, Twitter has 76 00:04:47,279 --> 00:04:50,160 Speaker 1: just become a little bit more about you on speech. 77 00:04:50,680 --> 00:04:54,080 Speaker 1: You just ball a large portion of this company and 78 00:04:54,160 --> 00:04:57,839 Speaker 1: gets the kind of steer what happens there now. If anything, 79 00:04:58,480 --> 00:05:01,400 Speaker 1: he's figured out that this is a oracle platform. Maybe 80 00:05:01,440 --> 00:05:04,080 Speaker 1: he took some notes from Mark Zuckerberg and others that 81 00:05:04,720 --> 00:05:08,560 Speaker 1: you need to have some influence over a platform. Daphne 82 00:05:08,560 --> 00:05:11,320 Speaker 1: do you think this is more about Elon's speech and 83 00:05:11,320 --> 00:05:15,640 Speaker 1: and and and how could this influence future moderation efforts 84 00:05:15,680 --> 00:05:19,840 Speaker 1: at Twitter? Well, it would be more about Elon speech 85 00:05:19,920 --> 00:05:22,160 Speaker 1: if we stay in the world of Twitter being a 86 00:05:22,160 --> 00:05:26,080 Speaker 1: single centralized point of control over the rules that are 87 00:05:26,120 --> 00:05:29,280 Speaker 1: imposed on users and their speech. So if we don't 88 00:05:29,360 --> 00:05:32,360 Speaker 1: go in this decentralized direction that we've been talking about 89 00:05:32,440 --> 00:05:34,359 Speaker 1: and that Jack Dorsey has been talking about for a 90 00:05:34,400 --> 00:05:37,920 Speaker 1: few years, um, and instead there's just one decider in 91 00:05:38,000 --> 00:05:43,760 Speaker 1: the middle, then obviously Elon Musk's roll there is really important. Um. 92 00:05:43,839 --> 00:05:47,640 Speaker 1: But I don't think we should foresee a world where 93 00:05:48,000 --> 00:05:52,320 Speaker 1: Twitter becomes, you know, a free speech mosh pit, free 94 00:05:52,320 --> 00:05:56,000 Speaker 1: for all, because they're not going to make money that way. 95 00:05:56,080 --> 00:05:58,760 Speaker 1: You know, if if you get onto Twitter and you 96 00:05:58,839 --> 00:06:02,680 Speaker 1: can't help seeing a bunch of racist comments or bullying 97 00:06:02,920 --> 00:06:05,680 Speaker 1: or spam or you know, all of these things that 98 00:06:05,839 --> 00:06:09,160 Speaker 1: users don't like and that advertisers don't like, um, that 99 00:06:09,720 --> 00:06:12,320 Speaker 1: is not a way to retain users or or to 100 00:06:12,440 --> 00:06:15,000 Speaker 1: be profitable. So I don't think we should imagine a 101 00:06:15,040 --> 00:06:18,320 Speaker 1: world where if anything goes on Twitter, it's you know, 102 00:06:18,720 --> 00:06:21,720 Speaker 1: at most a world where Twitter still imposes its own 103 00:06:21,800 --> 00:06:25,400 Speaker 1: rules but they're more influenced by Elon Musk. But possibly 104 00:06:25,480 --> 00:06:28,920 Speaker 1: this really interesting other direction where Twitter steps back and 105 00:06:28,960 --> 00:06:31,279 Speaker 1: gives users a choice. You know, you can choose to 106 00:06:31,279 --> 00:06:33,400 Speaker 1: live under Twitter's rules, or you can choose to live 107 00:06:33,480 --> 00:06:36,640 Speaker 1: under some other rules, which brings me to the question 108 00:06:36,839 --> 00:06:39,800 Speaker 1: of Donald Trump and could just open the door to 109 00:06:40,240 --> 00:06:43,960 Speaker 1: president former President Trump coming back to Twitter after being 110 00:06:44,080 --> 00:06:47,960 Speaker 1: permanently banned. I've asked Ned Siegel, the CFO, this question 111 00:06:48,320 --> 00:06:51,119 Speaker 1: several times over the last year. Is there a path 112 00:06:51,640 --> 00:06:53,640 Speaker 1: for Trump to come back? Take a listen to what 113 00:06:53,640 --> 00:06:57,840 Speaker 1: he's had to say. One somebody is removed from Twitter, 114 00:06:58,440 --> 00:07:00,760 Speaker 1: there isn't a path for them to come back. Uh. 115 00:07:00,800 --> 00:07:03,400 Speaker 1: And that's true for public officials, is true for anybody 116 00:07:03,400 --> 00:07:08,479 Speaker 1: else who uses the service as well. Now, Trump, in 117 00:07:08,760 --> 00:07:12,880 Speaker 1: a lawsuit against Twitter back in January, said Twitter has 118 00:07:12,920 --> 00:07:17,640 Speaker 1: increasingly engaged in impermissible censorship. The immediacy of its threat 119 00:07:17,680 --> 00:07:20,640 Speaker 1: to users and potentially every citizen's right to free speech 120 00:07:20,680 --> 00:07:25,960 Speaker 1: cannot be overstated. Twitter censorship results in a chilling effect 121 00:07:25,960 --> 00:07:30,480 Speaker 1: on our nation's pressing political, medical, social, and cultural discussions. 122 00:07:31,200 --> 00:07:34,200 Speaker 1: Does former President Trump have a point? And do you 123 00:07:34,240 --> 00:07:37,360 Speaker 1: see Elon Musk coming back? You know, could they reopen 124 00:07:37,400 --> 00:07:39,960 Speaker 1: this question of whether he should be on the platform. Well, 125 00:07:40,080 --> 00:07:43,400 Speaker 1: former President Trump does not have a legal point as 126 00:07:43,440 --> 00:07:48,280 Speaker 1: a legal argument. This lawsuit is nonsense because private platforms 127 00:07:48,400 --> 00:07:51,480 Speaker 1: don't owe you First Amendment protection the way that the 128 00:07:51,520 --> 00:07:54,080 Speaker 1: government does. And courts have said this over and over 129 00:07:54,120 --> 00:07:57,640 Speaker 1: again in cases very much like this Trump lawsuits. Um. 130 00:07:57,760 --> 00:08:00,320 Speaker 1: But as a matter of public policy and things that 131 00:08:00,360 --> 00:08:03,160 Speaker 1: we care about, Uh, is it a problem that there 132 00:08:03,160 --> 00:08:05,800 Speaker 1: are a small handful of giant companies that really have 133 00:08:06,120 --> 00:08:09,119 Speaker 1: a chokehold over what speech and information we can share 134 00:08:09,200 --> 00:08:12,040 Speaker 1: and see? Yes, you know, of course people are worried 135 00:08:12,040 --> 00:08:15,400 Speaker 1: about that. And so you know, I can imagine a 136 00:08:15,440 --> 00:08:21,040 Speaker 1: future where Twitter's version of its content moderation continues to 137 00:08:21,160 --> 00:08:26,800 Speaker 1: have former President Trump band for life. But there are alternatives. Um, 138 00:08:26,960 --> 00:08:30,040 Speaker 1: you know, a lens on Twitter offered by some competitor 139 00:08:30,400 --> 00:08:32,760 Speaker 1: that does allow him to come back, and then users 140 00:08:32,760 --> 00:08:36,800 Speaker 1: can choose which of those universes they want to live in. Interesting. 141 00:08:36,920 --> 00:08:39,520 Speaker 1: So you think that Twitter could find a middle ground 142 00:08:39,559 --> 00:08:42,800 Speaker 1: here with when it comes to President Trump. Well, so 143 00:08:43,240 --> 00:08:48,080 Speaker 1: imagine you know, their users can choose from fifty different 144 00:08:48,080 --> 00:08:51,440 Speaker 1: flavors of competing content moderation services built on top of 145 00:08:51,440 --> 00:08:56,440 Speaker 1: Twitter um. One version of that is an entirely federated system, 146 00:08:56,520 --> 00:08:59,880 Speaker 1: meaning there is no centralized control, kind of like math 147 00:09:00,000 --> 00:09:02,840 Speaker 1: stood on now, and so you know, in that version, 148 00:09:03,000 --> 00:09:06,520 Speaker 1: anyone can build a system where President Trump does come back, 149 00:09:06,559 --> 00:09:08,400 Speaker 1: and it's just a question of whether users want to 150 00:09:08,440 --> 00:09:11,880 Speaker 1: sign up for that. I think what's more plausible as 151 00:09:11,920 --> 00:09:14,480 Speaker 1: a future development with Project Blue Sky is a sort 152 00:09:14,480 --> 00:09:17,640 Speaker 1: of hub and spoke model where Twitter does take some 153 00:09:17,760 --> 00:09:20,320 Speaker 1: things down at the center, like things that are illegal 154 00:09:20,559 --> 00:09:23,920 Speaker 1: or honoring d m c A notices, um, and then 155 00:09:24,080 --> 00:09:28,000 Speaker 1: what left goes out to the you know, the competing 156 00:09:28,120 --> 00:09:32,199 Speaker 1: offerers of content moderation services, and they can decide among 157 00:09:32,480 --> 00:09:34,920 Speaker 1: among those things that are left. So more like how 158 00:09:34,920 --> 00:09:39,040 Speaker 1: Reddit does some centralized content moderation, but then most of 159 00:09:39,040 --> 00:09:42,120 Speaker 1: the decisions are made by different subreddits, you know, applying 160 00:09:42,200 --> 00:09:46,640 Speaker 1: their own different policies. You know. So Twitter could choose 161 00:09:46,679 --> 00:09:49,079 Speaker 1: to say, you know, we're going to take down all 162 00:09:49,120 --> 00:09:51,360 Speaker 1: the illegal stuff at the center so no one can 163 00:09:51,400 --> 00:09:55,040 Speaker 1: see it. And also some things violate our own policies 164 00:09:55,400 --> 00:09:58,400 Speaker 1: so badly that we're also going to keep that down 165 00:09:58,440 --> 00:10:01,840 Speaker 1: permanently for all of that, you know, competing flavors of 166 00:10:01,880 --> 00:10:05,040 Speaker 1: content moderation but I just think that would be a 167 00:10:05,280 --> 00:10:10,480 Speaker 1: step one flavors. We'll see if Twitter moves in that direction. 168 00:10:10,640 --> 00:10:13,640 Speaker 1: Daphne Keller, director of the Program and Platform Regulation at 169 00:10:13,640 --> 00:10:17,880 Speaker 1: the Stanford Hyper Policy Center. Thank you well. Elon Musk's 170 00:10:17,920 --> 00:10:21,760 Speaker 1: swift ascent from Twitter shareholder board member could catch the 171 00:10:21,760 --> 00:10:23,559 Speaker 1: eye of the SEC in this at a time when 172 00:10:23,559 --> 00:10:26,560 Speaker 1: the Commission is demanding more transparency from big investors and 173 00:10:26,679 --> 00:10:30,160 Speaker 1: ratcheting up fines for breaking rules. Here to talk about 174 00:10:30,200 --> 00:10:33,040 Speaker 1: that and more, Bloomberg's Matt Robinson, who covers the SEC 175 00:10:33,520 --> 00:10:35,560 Speaker 1: for US. So, Matt, is there any indication that the 176 00:10:35,640 --> 00:10:38,280 Speaker 1: SEC is looking at this yet? Not yet, But the 177 00:10:38,360 --> 00:10:41,280 Speaker 1: SEC is looking at Elon Musk and his brother for 178 00:10:41,840 --> 00:10:45,160 Speaker 1: insider trading or potential insider trading issues about a share 179 00:10:45,200 --> 00:10:48,040 Speaker 1: sale last fall. So uh, you know, as we know, 180 00:10:48,160 --> 00:10:51,360 Speaker 1: the SEC and Elon Musco go back, you know, quite 181 00:10:51,400 --> 00:10:54,720 Speaker 1: a few years now from teen with his infamous funding 182 00:10:54,760 --> 00:10:59,920 Speaker 1: secured tweet and the subsequent penalty and settlement which limits 183 00:11:00,120 --> 00:11:05,160 Speaker 1: ability to talk about his company on the platform. Now, 184 00:11:05,320 --> 00:11:08,080 Speaker 1: Elon Musk initially filed to be a passive investor. We 185 00:11:08,160 --> 00:11:10,360 Speaker 1: know now in the last twenty four hours he's changed 186 00:11:10,400 --> 00:11:12,880 Speaker 1: that to become an active investor. We also know he 187 00:11:12,960 --> 00:11:16,800 Speaker 1: started buying shares starting back in January. The CEO Twitter, 188 00:11:16,800 --> 00:11:18,960 Speaker 1: Paragua Agarwal, said that they had actually been talking for 189 00:11:19,080 --> 00:11:23,600 Speaker 1: weeks now, perhaps it could actually be months. What's significant 190 00:11:23,600 --> 00:11:25,960 Speaker 1: about that to you when it comes to the interest 191 00:11:26,000 --> 00:11:28,560 Speaker 1: of the SEC. So those are so the two different 192 00:11:28,559 --> 00:11:32,679 Speaker 1: filings that, um, you know big investors have to disclose. Um, 193 00:11:32,720 --> 00:11:34,320 Speaker 1: you know, we have a thirteen G, which is someone 194 00:11:34,360 --> 00:11:37,160 Speaker 1: who's taking a passive steak, someone who doesn't have any 195 00:11:37,200 --> 00:11:41,400 Speaker 1: interest in seeking any sort of business plans or changes, 196 00:11:41,760 --> 00:11:44,400 Speaker 1: and then the thirteen D, which is what he filed yesterday. 197 00:11:44,400 --> 00:11:48,080 Speaker 1: So there is room for from foreign investor to go 198 00:11:48,160 --> 00:11:50,800 Speaker 1: from a thirteen G, which is the you know, um, 199 00:11:50,920 --> 00:11:54,520 Speaker 1: the passive side, to an activist side. So, um, there 200 00:11:54,559 --> 00:11:58,040 Speaker 1: are so by updating that, that's that's fine. The issue 201 00:11:58,080 --> 00:12:01,920 Speaker 1: that Elon Musky may find himself into is that he, um, 202 00:12:01,960 --> 00:12:03,920 Speaker 1: you know, as soon as you hit five percent, you 203 00:12:03,920 --> 00:12:06,680 Speaker 1: have to disclose within ten calendar days, and it looks 204 00:12:06,679 --> 00:12:09,440 Speaker 1: like he may have missed that window. So that is 205 00:12:09,480 --> 00:12:12,960 Speaker 1: sort of a technical violation that he could see see 206 00:12:13,000 --> 00:12:15,720 Speaker 1: some issues, but the SEC is generally they don't really 207 00:12:15,760 --> 00:12:19,719 Speaker 1: bring those cases unless it's kind of repeated failures. How 208 00:12:19,760 --> 00:12:22,320 Speaker 1: fast can we see the SEC move on with move on, 209 00:12:22,559 --> 00:12:25,680 Speaker 1: move on this? Well, you know they it's obviously just happened. 210 00:12:25,720 --> 00:12:27,560 Speaker 1: I mean, if it has, if they haven't you know, 211 00:12:27,720 --> 00:12:31,120 Speaker 1: started an investigation in a couple of weeks, you know, 212 00:12:31,440 --> 00:12:34,120 Speaker 1: is its smooth sailing? It's it's certainly could be quick. 213 00:12:34,160 --> 00:12:37,679 Speaker 1: I mean, if you're back in eighteen you know, if 214 00:12:37,720 --> 00:12:39,920 Speaker 1: I remember correctly, it was like early August that he 215 00:12:40,120 --> 00:12:42,360 Speaker 1: brought the funny Security and at the end of September 216 00:12:42,600 --> 00:12:45,920 Speaker 1: the SEC suit elon Musk So, I mean, if there's um, 217 00:12:45,960 --> 00:12:48,760 Speaker 1: you know, the facts and and the certainly the motivation 218 00:12:48,800 --> 00:12:50,599 Speaker 1: there from the SEC if they feel like this is 219 00:12:50,640 --> 00:12:53,640 Speaker 1: an important case to bring that you know this is 220 00:12:53,640 --> 00:12:56,120 Speaker 1: going to show too too, mus get to other investors 221 00:12:56,160 --> 00:12:58,200 Speaker 1: that you know you have to take these sources of 222 00:12:58,200 --> 00:13:02,480 Speaker 1: disclosure rules. Um SERI slee and promptly all right, Bloomberg 223 00:13:02,520 --> 00:13:04,800 Speaker 1: Smott Robinson, who covers the SEC for us, thank you, 224 00:13:05,559 --> 00:13:09,600 Speaker 1: coming up, darks Rasha. He is pushing Uber closer to 225 00:13:09,640 --> 00:13:13,400 Speaker 1: becoming the go to travel app, adding long distance travel 226 00:13:13,440 --> 00:13:17,319 Speaker 1: like planes, trains, hotels. Will it work? Could Uber be 227 00:13:17,679 --> 00:13:21,720 Speaker 1: the next super app? We will explore next. This is Bloomberg. 228 00:13:33,400 --> 00:13:36,679 Speaker 1: Let's get to Uber's continued push to become a super app. 229 00:13:36,800 --> 00:13:39,520 Speaker 1: The ridehilling company planning to launch a pilot project in 230 00:13:39,520 --> 00:13:42,760 Speaker 1: the UK that will integrate offers from travel partners. That 231 00:13:42,760 --> 00:13:45,200 Speaker 1: means customers will soon be able to book long distance 232 00:13:45,280 --> 00:13:50,560 Speaker 1: travel on planes, trains, buses, even hotels. Bloombergs Jackie Delavlos 233 00:13:50,760 --> 00:13:53,880 Speaker 1: has more so, how exactly will this work, Jackie? From 234 00:13:53,920 --> 00:13:57,480 Speaker 1: a customer's perspective, it's going to be a one stop 235 00:13:57,520 --> 00:14:00,959 Speaker 1: shop for transportation. Now. While we were able to get 236 00:14:01,000 --> 00:14:03,840 Speaker 1: a cab to the airport, now when you're at the airport, 237 00:14:04,080 --> 00:14:06,960 Speaker 1: you know you can hail or book the next train 238 00:14:07,160 --> 00:14:09,560 Speaker 1: ride or your bus from whatever city you're going to. 239 00:14:09,720 --> 00:14:14,440 Speaker 1: It's really going to become a much more comprehensive travel hub. 240 00:14:14,720 --> 00:14:18,680 Speaker 1: Now for Uber, this is the next step in their 241 00:14:18,800 --> 00:14:23,880 Speaker 1: super app strategy. This is not something that is completely new. 242 00:14:23,920 --> 00:14:27,480 Speaker 1: They telegraphed this even, you know, back in ten dar 243 00:14:27,640 --> 00:14:31,280 Speaker 1: casra Shaw he had this big idea that it could 244 00:14:31,280 --> 00:14:34,160 Speaker 1: become a super app. And when you think about it, 245 00:14:34,160 --> 00:14:36,640 Speaker 1: it's not a concept that is very well known to 246 00:14:37,120 --> 00:14:41,680 Speaker 1: Westerners in particular, but in Asia it's huge. Uber has 247 00:14:41,720 --> 00:14:43,640 Speaker 1: a stake in Grab, which is one of the biggest 248 00:14:43,720 --> 00:14:46,720 Speaker 1: players and examples of a super app where you can 249 00:14:46,760 --> 00:14:49,240 Speaker 1: access payments, you can hail a ride, you can get 250 00:14:49,240 --> 00:14:51,680 Speaker 1: food delivery, all in one. So this is a major 251 00:14:51,800 --> 00:14:55,480 Speaker 1: step really jump starting those efforts for Uber. Now. You 252 00:14:55,560 --> 00:14:57,520 Speaker 1: and I just spent time with Dara Cosa Shaw. He 253 00:14:57,680 --> 00:15:00,440 Speaker 1: at shop Talk a couple of weeks ago, and he 254 00:15:00,880 --> 00:15:05,240 Speaker 1: talked about this vision to deliver the future of retail, 255 00:15:05,640 --> 00:15:08,280 Speaker 1: not just food. Take a listen to what he had 256 00:15:08,280 --> 00:15:13,280 Speaker 1: to say when I asked specifically about these super app ambitions. 257 00:15:13,280 --> 00:15:15,960 Speaker 1: So what we're doing essentially is building the largest local 258 00:15:16,000 --> 00:15:20,800 Speaker 1: commerce and transportation platform on Earth. UM the users, riders, 259 00:15:20,880 --> 00:15:24,200 Speaker 1: consumers get the ease of essentially being able to go 260 00:15:24,320 --> 00:15:29,359 Speaker 1: and go anywhere, get anything same I d same payments, etcetera. 261 00:15:29,400 --> 00:15:31,440 Speaker 1: We know the locations that you like to go or 262 00:15:31,640 --> 00:15:36,360 Speaker 1: restaurants that you love, Jackie. It all sounds good, But 263 00:15:36,440 --> 00:15:39,040 Speaker 1: how will this or could this help Uber's bottom line 264 00:15:39,120 --> 00:15:42,000 Speaker 1: or could it hurt Well, when you think about this 265 00:15:42,120 --> 00:15:46,600 Speaker 1: particular long distance travel move, the way it's going to 266 00:15:46,640 --> 00:15:50,200 Speaker 1: be done is by using online travel aggregators. So think 267 00:15:50,240 --> 00:15:52,400 Speaker 1: of an Expedia or a Booking They're the ones that 268 00:15:52,440 --> 00:15:55,680 Speaker 1: are actually booking the ticket, but Uber is taking a 269 00:15:55,800 --> 00:15:59,200 Speaker 1: cut out of that sale. It's a really high margin 270 00:15:59,680 --> 00:16:02,520 Speaker 1: tie of strategy where you know, they're not the ones 271 00:16:02,680 --> 00:16:05,280 Speaker 1: having the having to get that plane or the train, 272 00:16:05,440 --> 00:16:09,000 Speaker 1: the actual hardware. What they're doing is just facilitating this 273 00:16:09,000 --> 00:16:12,400 Speaker 1: this sale for customers that are already very engaged on 274 00:16:12,440 --> 00:16:14,840 Speaker 1: their app. When you think about the different ways that 275 00:16:14,960 --> 00:16:18,680 Speaker 1: Uber can tap people's lives, you know, you can book 276 00:16:18,720 --> 00:16:21,480 Speaker 1: a restaurant, take a ride to the restaurant, pay for 277 00:16:21,520 --> 00:16:26,240 Speaker 1: the meal. UH. The opportunity for growth is very, very significant. 278 00:16:26,680 --> 00:16:30,840 Speaker 1: So what does this mean for competition? You know, especially 279 00:16:30,880 --> 00:16:33,840 Speaker 1: given this is launching in the UK. Obviously there are 280 00:16:33,920 --> 00:16:39,320 Speaker 1: big travel competitors like Expedia Bookings. You know, what does 281 00:16:39,360 --> 00:16:42,320 Speaker 1: this mean for the rest of the industry For some 282 00:16:42,480 --> 00:16:46,600 Speaker 1: of its direct competitors. Let's take you know, rideshare Lift 283 00:16:46,680 --> 00:16:50,720 Speaker 1: for example. If this kind of a long distance rollout 284 00:16:50,800 --> 00:16:54,000 Speaker 1: were to reach North America, it would be a huge 285 00:16:54,040 --> 00:16:57,360 Speaker 1: blow for Lift, who doesn't have the kind of UH 286 00:16:57,560 --> 00:17:01,320 Speaker 1: cushion that Uber has with its food delivery business. And 287 00:17:01,440 --> 00:17:03,680 Speaker 1: also when you think about some of the marketplaces that 288 00:17:03,720 --> 00:17:07,080 Speaker 1: are also vye to keep their customers on their apps, longer. 289 00:17:07,280 --> 00:17:10,280 Speaker 1: Whether it's door Dash or insta cart, this is going 290 00:17:10,320 --> 00:17:13,359 Speaker 1: to be a significant challenge, especially if upers making it 291 00:17:13,359 --> 00:17:16,480 Speaker 1: easy to do all the things in the app, whether 292 00:17:16,640 --> 00:17:20,720 Speaker 1: it's you know, a ride or a meal, convenience items retail. 293 00:17:21,119 --> 00:17:24,119 Speaker 1: Uh so, I think it's rapid delivery. It's going to 294 00:17:24,240 --> 00:17:28,480 Speaker 1: really um you know up the ante for marketplaces and 295 00:17:28,960 --> 00:17:32,639 Speaker 1: rideshare rivals h to to find ways to keep customers 296 00:17:32,640 --> 00:17:34,880 Speaker 1: on the app. Alright, we'll be watching how this plays. 297 00:17:34,880 --> 00:17:46,119 Speaker 1: Applom works. Jackie Doagulos, thank you. She is one of 298 00:17:46,119 --> 00:17:49,199 Speaker 1: the most popular stars on Twitch with more than a 299 00:17:49,240 --> 00:17:53,040 Speaker 1: million followers. Meat iron Mouse. She not only plays some 300 00:17:53,040 --> 00:17:55,240 Speaker 1: of the most popular video games on the streaming site, 301 00:17:55,240 --> 00:17:58,960 Speaker 1: but also sings karaoke and cracks jokes to her many followers. 302 00:17:59,160 --> 00:18:00,919 Speaker 1: For more on the ride is of iron Mouse and 303 00:18:01,000 --> 00:18:04,720 Speaker 1: other v tubers, I'm joined by Bloomberg Cecilia Donastasio, who 304 00:18:04,720 --> 00:18:08,160 Speaker 1: covers the gaming industry for US. So who is Iron 305 00:18:08,200 --> 00:18:11,240 Speaker 1: Mouse and why has she gotten so popular? Iron Mouse 306 00:18:11,440 --> 00:18:15,720 Speaker 1: is an anonymous woman Puerto Rican woman who became very 307 00:18:15,760 --> 00:18:19,720 Speaker 1: popular on Twitch and on YouTube for live streaming herself 308 00:18:19,800 --> 00:18:25,280 Speaker 1: as a virtual anime character through motion capture technology. Iron 309 00:18:25,320 --> 00:18:28,399 Speaker 1: mouse kind of moves in front of a camera and 310 00:18:28,480 --> 00:18:32,199 Speaker 1: that gets fed through animation software and that is what 311 00:18:32,240 --> 00:18:34,159 Speaker 1: you see on screen. You see a v tuber or 312 00:18:34,280 --> 00:18:38,359 Speaker 1: virtual YouTuber. So what don't we know about the woman 313 00:18:38,400 --> 00:18:41,280 Speaker 1: behind this character. We don't know anything about the woman 314 00:18:41,280 --> 00:18:45,600 Speaker 1: behind this character, but um, she keeps herself anonymous just 315 00:18:45,880 --> 00:18:49,720 Speaker 1: to protect for her own safety. So talk to us 316 00:18:49,760 --> 00:18:52,760 Speaker 1: about the rise of v tubers and who else is 317 00:18:52,800 --> 00:18:57,240 Speaker 1: falling into the popular category. There are seventeen thousand v 318 00:18:57,359 --> 00:19:01,439 Speaker 1: tubers right now. Iron Mouse broke records, recently becoming the 319 00:19:01,480 --> 00:19:04,640 Speaker 1: most subscribed to woman on Twitch and the most popular 320 00:19:04,720 --> 00:19:08,280 Speaker 1: vituber on Twitch last month. But vtubing has become a 321 00:19:08,320 --> 00:19:10,800 Speaker 1: sensation over the last couple of years, with an over 322 00:19:10,840 --> 00:19:14,000 Speaker 1: four hundred and sixty seven percent increase between two thousand 323 00:19:14,000 --> 00:19:17,080 Speaker 1: and twenty and two thousand twenty one. And fans love it. 324 00:19:17,119 --> 00:19:20,119 Speaker 1: They love the feeling of interacting live with an anime character, 325 00:19:20,800 --> 00:19:23,080 Speaker 1: um or a person kind of presenting themselves as an 326 00:19:23,080 --> 00:19:26,400 Speaker 1: anime character. You know. Obviously we've talked a lot about 327 00:19:26,400 --> 00:19:29,520 Speaker 1: the rise of YouTubers and the kind of money they 328 00:19:29,560 --> 00:19:31,440 Speaker 1: can make. I mean, is there a lot of money 329 00:19:31,440 --> 00:19:33,600 Speaker 1: to be made? Here are their careers to be made 330 00:19:33,600 --> 00:19:36,359 Speaker 1: here for a select few. There is money to be 331 00:19:36,400 --> 00:19:38,600 Speaker 1: made and there are careers to be had. There are 332 00:19:39,080 --> 00:19:42,400 Speaker 1: UM some larger brands who have invested in v tubers, 333 00:19:42,440 --> 00:19:47,080 Speaker 1: particularly in Japanese vitubers. Companies like Sega have been involved 334 00:19:47,480 --> 00:19:51,560 Speaker 1: UM in sort of helping sponsor companies. The first v tuber, 335 00:19:51,760 --> 00:19:55,879 Speaker 1: Kazuna ai UM has done enormous deals with even like 336 00:19:55,920 --> 00:20:00,919 Speaker 1: the Japanese Tourism agency UM. But generally king it is 337 00:20:01,280 --> 00:20:04,040 Speaker 1: a competitive field right now, and only the top people 338 00:20:04,040 --> 00:20:06,000 Speaker 1: with the best technology. You're going to succeed on the 339 00:20:06,040 --> 00:20:11,120 Speaker 1: level of Iron Mouse House, all right, Cecilia Donastasio. Fascinating. 340 00:20:11,160 --> 00:20:14,320 Speaker 1: We'll have to try to learn more details about Iron Mouse. 341 00:20:14,320 --> 00:20:16,720 Speaker 1: Thank you for sharing that. Coming up, they just raised 342 00:20:16,760 --> 00:20:19,639 Speaker 1: nearly two billion dollars. Looking at that big on tech. 343 00:20:19,720 --> 00:20:24,399 Speaker 1: My exclusive conversation with lead Edge Capitals Mitchell green Up. Next, 344 00:20:36,080 --> 00:20:38,680 Speaker 1: Welcome back to Bloomberg Technology. I'm Emily Check in San Francisco. 345 00:20:39,040 --> 00:20:42,359 Speaker 1: What goes up must come down, right My next guest 346 00:20:42,359 --> 00:20:44,760 Speaker 1: thinks tech valuations have gotten ahead of themselves and it 347 00:20:44,800 --> 00:20:47,080 Speaker 1: has launched a new fund to put new money to 348 00:20:47,160 --> 00:20:50,760 Speaker 1: work in this rapidly changing macro environment. Joining me now 349 00:20:50,840 --> 00:20:54,480 Speaker 1: for more. Founding partner of lead Edge Capital, Mitchell Green. Mitch, 350 00:20:54,520 --> 00:20:58,280 Speaker 1: great to have you back with us. So how do 351 00:20:58,320 --> 00:21:01,960 Speaker 1: you think valuations are high right now? Are they too high? 352 00:21:02,119 --> 00:21:05,560 Speaker 1: And what's next? Thanks? I only thanks to much for 353 00:21:05,600 --> 00:21:11,640 Speaker 1: happing me on. Are we talking public or private company evaluations? Both? Both? Um? 354 00:21:11,680 --> 00:21:14,920 Speaker 1: So we look at me. Anybody watching the markets has 355 00:21:14,920 --> 00:21:19,200 Speaker 1: obviously seen that, especially in the software internet world, UM, 356 00:21:19,600 --> 00:21:23,520 Speaker 1: public evaluations have come down, you know, fairly dramatically. Um, 357 00:21:23,600 --> 00:21:25,959 Speaker 1: You wouldn't know what in the induscry has given just 358 00:21:26,000 --> 00:21:28,280 Speaker 1: how much of the induscry has weighted towards like you know, 359 00:21:28,320 --> 00:21:31,440 Speaker 1: the large camp companies like Apple and you know, um, 360 00:21:31,480 --> 00:21:34,119 Speaker 1: you know Microsoft and Facebook and Google and stuff like that. 361 00:21:34,200 --> 00:21:37,520 Speaker 1: But but underneath those, you know, companies like Snowflake or 362 00:21:37,560 --> 00:21:41,040 Speaker 1: Toast or you know Acta or you know, these companies 363 00:21:41,040 --> 00:21:44,720 Speaker 1: have come down hugely dramatically. And you know, public companies 364 00:21:44,800 --> 00:21:48,840 Speaker 1: tend to you know, lead private company evaluations. And I 365 00:21:48,840 --> 00:21:51,119 Speaker 1: think you will start to see and we're starting to 366 00:21:51,160 --> 00:21:55,199 Speaker 1: see private company evaluations to climb. Um. You've had a 367 00:21:55,240 --> 00:21:58,239 Speaker 1: lot of crossover hedge funds that had entered that had 368 00:21:58,280 --> 00:22:00,320 Speaker 1: been into the space over the last five years, and 369 00:22:00,400 --> 00:22:02,360 Speaker 1: you know we're looking at some large deals right now. 370 00:22:02,440 --> 00:22:05,200 Speaker 1: That is you know, six months ago, it would have 371 00:22:05,240 --> 00:22:07,520 Speaker 1: been kind of swarmed easily, you know, fifty sixty million 372 00:22:07,520 --> 00:22:10,680 Speaker 1: dollar revenue companies that would have been swarmed by a 373 00:22:10,760 --> 00:22:14,080 Speaker 1: crossoverpublic investors. And I think in this deal there's like 374 00:22:14,160 --> 00:22:16,600 Speaker 1: one looking at it, So it should be a good din. 375 00:22:17,200 --> 00:22:20,680 Speaker 1: Depressed valuations and less competition should be a good time 376 00:22:20,760 --> 00:22:24,600 Speaker 1: to you know, uh deploy money. Right, So how do 377 00:22:24,640 --> 00:22:28,000 Speaker 1: you plan to put this new one nine five billion 378 00:22:28,040 --> 00:22:31,720 Speaker 1: dollars to work? Yeah? So UM s any way, we 379 00:22:31,760 --> 00:22:34,000 Speaker 1: have been UM for many, many years. You know, we 380 00:22:34,119 --> 00:22:38,919 Speaker 1: deployed our last fund, UM nine million dollar fund in 381 00:22:39,080 --> 00:22:41,760 Speaker 1: like fifteen months, and so you know we want this 382 00:22:41,840 --> 00:22:43,600 Speaker 1: fund to take you know two and a half to 383 00:22:43,720 --> 00:22:45,639 Speaker 1: three years, two and a half years, three or to 384 00:22:45,760 --> 00:22:49,719 Speaker 1: three years to invest. And so UM continuing to do 385 00:22:49,760 --> 00:22:53,399 Speaker 1: what we do. You know, we're primarily uh Western European 386 00:22:54,160 --> 00:22:58,280 Speaker 1: uh you know, UM North American investors. We've done some 387 00:22:58,320 --> 00:23:01,040 Speaker 1: stuff in Asia over the year as companies like Aunt 388 00:23:01,160 --> 00:23:03,200 Speaker 1: or Bite Dance, Sarah Ali Babbo Group, we were early 389 00:23:03,200 --> 00:23:07,040 Speaker 1: investors in, but primarily US and Western European and Israeli 390 00:23:07,080 --> 00:23:11,959 Speaker 1: based software, internet companies and fintech companies. So you know, 391 00:23:12,040 --> 00:23:15,159 Speaker 1: when you when you look at valuations, are are you 392 00:23:15,280 --> 00:23:19,440 Speaker 1: changing your own bar in terms of what is reasonable? 393 00:23:19,520 --> 00:23:21,320 Speaker 1: And do you think more broadly, we're just gonna see 394 00:23:21,320 --> 00:23:25,440 Speaker 1: a lot of air get let out of the balloon. Yeah, 395 00:23:25,480 --> 00:23:29,880 Speaker 1: So since we our biggest mistakes, to be clear, over 396 00:23:29,920 --> 00:23:37,640 Speaker 1: the last five ten years was UM not predicting multiple expansion. UM. 397 00:23:37,960 --> 00:23:40,639 Speaker 1: Had we we would have made our LPs billions of 398 00:23:40,720 --> 00:23:43,040 Speaker 1: dollars more than we've made. We've done really well, but 399 00:23:43,080 --> 00:23:46,280 Speaker 1: we would have made a lot more UM. And you know, 400 00:23:46,320 --> 00:23:49,639 Speaker 1: look the way we the way we mob way we 401 00:23:49,680 --> 00:23:52,600 Speaker 1: make investments is we build five year models and this 402 00:23:52,640 --> 00:23:54,200 Speaker 1: is this is new, different today that it was five 403 00:23:54,280 --> 00:23:58,400 Speaker 1: years ago, and we slapped a reasonable you know, earnings 404 00:23:58,400 --> 00:24:01,840 Speaker 1: and revenue multiple on them and and discount back. Um. 405 00:24:01,840 --> 00:24:03,800 Speaker 1: There were a bunch of deals getting down over the 406 00:24:03,840 --> 00:24:06,520 Speaker 1: last twelve you know, starting kind of like there are 407 00:24:06,520 --> 00:24:09,800 Speaker 1: a bunch of deals I got done in one that 408 00:24:10,160 --> 00:24:13,960 Speaker 1: we could not figure out how people were underwriting these 409 00:24:14,280 --> 00:24:18,560 Speaker 1: these these valuations. Was when we stuck in our exit multiples, 410 00:24:18,560 --> 00:24:20,960 Speaker 1: which we thought were reasonable based on historical averages, Like 411 00:24:21,000 --> 00:24:24,200 Speaker 1: we just couldn't get there at all, um, And it's 412 00:24:24,240 --> 00:24:26,359 Speaker 1: just we just you know, we kind of use a 413 00:24:26,400 --> 00:24:30,560 Speaker 1: historical average multiple to excess stuff and we'll continue to 414 00:24:30,640 --> 00:24:32,720 Speaker 1: do that. And so I think what's interesting is it 415 00:24:32,800 --> 00:24:35,680 Speaker 1: in fund five we just raised Fund six. Um, we've 416 00:24:35,720 --> 00:24:38,080 Speaker 1: only done one or two deals in the Bay Area, 417 00:24:38,400 --> 00:24:40,000 Speaker 1: and a lot of our deals were just some like 418 00:24:40,119 --> 00:24:44,679 Speaker 1: random other places around the world. Um, you know, in Arbor, Michigan. 419 00:24:44,760 --> 00:24:46,680 Speaker 1: It was one of our biggest investments in Fund five. 420 00:24:47,240 --> 00:24:49,040 Speaker 1: We just thought you got better valuations there. It's not 421 00:24:49,040 --> 00:24:51,360 Speaker 1: because we don't like stuff on the coast. I think 422 00:24:51,359 --> 00:24:53,720 Speaker 1: in Fund six you will see us do more stuff 423 00:24:53,800 --> 00:24:56,600 Speaker 1: on the coasts, just because I think valuations are getting 424 00:24:56,640 --> 00:25:00,960 Speaker 1: to be more reasonable now. Online payments company Fast just 425 00:25:01,119 --> 00:25:04,280 Speaker 1: close shop yesterday saying they simply ran out of money. 426 00:25:04,320 --> 00:25:07,560 Speaker 1: Are we gonna see this happen more often? I'm sure 427 00:25:07,600 --> 00:25:11,320 Speaker 1: you will. So, yes, I'm sure you will. We have 428 00:25:11,600 --> 00:25:15,959 Speaker 1: this one criteria that is super important to us called 429 00:25:16,440 --> 00:25:20,680 Speaker 1: capital efficiency. And it's like our version of return on equity. 430 00:25:20,720 --> 00:25:23,000 Speaker 1: It's like the very dumb persons and our views return 431 00:25:23,040 --> 00:25:25,720 Speaker 1: on equity. Um, it's not like based in scientific fact. 432 00:25:25,760 --> 00:25:29,200 Speaker 1: But what it is is is it are your revenues today, 433 00:25:29,520 --> 00:25:32,760 Speaker 1: are your recurring revenues today or your annual recurring revenue 434 00:25:32,760 --> 00:25:37,560 Speaker 1: are are greater or equal to the amount of money 435 00:25:38,000 --> 00:25:40,760 Speaker 1: you've burned since day one of the business. Now, maybe 436 00:25:40,760 --> 00:25:42,680 Speaker 1: you've raised a bunch of money, but if it's sitting 437 00:25:42,680 --> 00:25:45,520 Speaker 1: in the bank, don't blame the entrepreneur. So, in other words, 438 00:25:45,800 --> 00:25:48,080 Speaker 1: the world, the world is littered with like thirty million 439 00:25:48,080 --> 00:25:50,919 Speaker 1: dollar revenue companies growing fast that have burned like a 440 00:25:50,960 --> 00:25:53,720 Speaker 1: hundred million dollars to get there. But what we want 441 00:25:53,720 --> 00:25:56,280 Speaker 1: to find the companies that are like thirty million of 442 00:25:56,320 --> 00:26:00,359 Speaker 1: revenue that have burned like ten million dollars to get there, 443 00:26:00,400 --> 00:26:03,800 Speaker 1: because those are companies that you know are just not 444 00:26:03,880 --> 00:26:08,359 Speaker 1: going to like fall off a cliff if times get tough. Um. 445 00:26:08,400 --> 00:26:10,520 Speaker 1: They also just if you can grow fast and not 446 00:26:10,600 --> 00:26:13,600 Speaker 1: burn much money, you've got a good business. So it's 447 00:26:13,600 --> 00:26:16,359 Speaker 1: just like a simple like a check that and every 448 00:26:16,400 --> 00:26:19,440 Speaker 1: deal that we invest in, we we rate it. Is 449 00:26:19,480 --> 00:26:21,280 Speaker 1: it a capital efficient or not. Now, not all the 450 00:26:21,320 --> 00:26:24,199 Speaker 1: companies we've invested in our but the vast majority are 451 00:26:24,800 --> 00:26:27,000 Speaker 1: just What are your thoughts? What are your thoughts on 452 00:26:27,040 --> 00:26:29,400 Speaker 1: the crypto market? Where do you see hype and where 453 00:26:29,440 --> 00:26:34,240 Speaker 1: do you see opportunity. Well, I think it's a giant bubble. Um. 454 00:26:34,320 --> 00:26:39,119 Speaker 1: But we to be completely fair, we have not. Um, 455 00:26:39,280 --> 00:26:41,080 Speaker 1: we have not. We've looked at some of this stuff 456 00:26:41,080 --> 00:26:44,480 Speaker 1: in grypto more on, like the pis and shovels businesses, 457 00:26:44,600 --> 00:26:47,280 Speaker 1: like a business called chain analysis. We looked at early 458 00:26:47,400 --> 00:26:50,640 Speaker 1: we're not investors benchmark as an early investor. So where 459 00:26:50,640 --> 00:26:53,959 Speaker 1: do you see the giant bubble? I'll know the right 460 00:26:54,040 --> 00:26:58,800 Speaker 1: price for bitcoin is sixty seventy thousand, twenty tho or five. 461 00:26:59,520 --> 00:27:01,600 Speaker 1: I just of this when I have a lot of 462 00:27:01,960 --> 00:27:05,919 Speaker 1: random friends who know nothing about investing in telling me 463 00:27:06,000 --> 00:27:09,040 Speaker 1: it's easy to make money in crypto, Like that smells 464 00:27:09,040 --> 00:27:11,600 Speaker 1: bubble to me. I also Um, one of my buddies 465 00:27:11,600 --> 00:27:13,760 Speaker 1: who has better really early investor in crypto and made 466 00:27:13,760 --> 00:27:15,120 Speaker 1: a lot of money on it. And somebody I guess 467 00:27:15,160 --> 00:27:18,080 Speaker 1: I should like I should have listened to UM say 468 00:27:18,200 --> 00:27:20,760 Speaker 1: he's convinced that like every fraud ster in the world 469 00:27:20,880 --> 00:27:23,280 Speaker 1: is now in the crypto world, like like this stuff 470 00:27:23,359 --> 00:27:26,480 Speaker 1: is real and by if you believe that like crypto 471 00:27:26,560 --> 00:27:29,720 Speaker 1: crypto is the next like Internet, then you might see 472 00:27:29,760 --> 00:27:33,040 Speaker 1: a draw out of or but the stuff is real, 473 00:27:33,280 --> 00:27:34,720 Speaker 1: Like I I just think a lot of this stuff 474 00:27:34,760 --> 00:27:38,119 Speaker 1: is overhyped and like is not justified at all in 475 00:27:38,640 --> 00:27:42,679 Speaker 1: um in you know, in fundamental fundamental investing. But I 476 00:27:42,680 --> 00:27:44,320 Speaker 1: do think it's real. I do think it's here to say, 477 00:27:44,800 --> 00:27:47,520 Speaker 1: one really interesting thing about crypto is it's like to like, 478 00:27:48,160 --> 00:27:51,560 Speaker 1: it's really volatile. So I was reading recently what I 479 00:27:51,600 --> 00:27:54,840 Speaker 1: saw that like Tesla was enabling you at one point 480 00:27:54,880 --> 00:27:57,119 Speaker 1: to be able to pay for Tesla's in bitcoin. I 481 00:27:57,119 --> 00:27:58,840 Speaker 1: thought that was like super cool. You could take a doubt, 482 00:27:58,880 --> 00:28:00,520 Speaker 1: you could take a currency and use it for an 483 00:28:00,520 --> 00:28:04,600 Speaker 1: exchange of goods or services. The problem is is, like 484 00:28:05,440 --> 00:28:06,680 Speaker 1: and the reason they got rid of it, and why 485 00:28:06,680 --> 00:28:08,680 Speaker 1: I think you haven't seen Amazon and other big weakdail 486 00:28:08,760 --> 00:28:11,000 Speaker 1: or start to accept it is these currencies are just 487 00:28:11,040 --> 00:28:14,879 Speaker 1: too volatile. Like I think there's been like something like 488 00:28:15,160 --> 00:28:20,840 Speaker 1: ten days where bitcoin is moved like in a day, 489 00:28:20,880 --> 00:28:24,000 Speaker 1: Like the biggest US dollar move ever like a U 490 00:28:24,080 --> 00:28:26,439 Speaker 1: S dour Euro move ever has been like one and 491 00:28:26,440 --> 00:28:28,760 Speaker 1: a half percent, and it's happened like five times. So 492 00:28:28,800 --> 00:28:31,080 Speaker 1: these things are just too volatile right now. But I 493 00:28:31,119 --> 00:28:36,360 Speaker 1: do think they're real. Yeah, all right, interesting little monologue there. 494 00:28:36,480 --> 00:28:40,240 Speaker 1: Richell Green, founding partner at lead Edge capital some strong opinions. 495 00:28:40,240 --> 00:28:43,560 Speaker 1: We'll see how you put your money to work. Thank you. Meantime, 496 00:28:43,800 --> 00:28:47,320 Speaker 1: billionaire crypto investor Michael Novegrat says that once the FED 497 00:28:47,440 --> 00:28:51,160 Speaker 1: takes a pause, Bitcoin could take off again, or in 498 00:28:51,240 --> 00:28:54,760 Speaker 1: his words, bitcoin goes to the moon. Novograts leads Galaxy 499 00:28:54,800 --> 00:28:59,200 Speaker 1: Digital Holdings at the Bitcoin conference in Miami. Novograts reiterator 500 00:28:59,240 --> 00:29:02,280 Speaker 1: to call that bit and will eventually hit a price 501 00:29:02,400 --> 00:29:05,400 Speaker 1: of one million dollars. It was trading today at a 502 00:29:05,440 --> 00:29:21,800 Speaker 1: little over forty four thousand. He really truly understands the 503 00:29:21,880 --> 00:29:25,760 Speaker 1: value of cryptocurrency, whether it be uh, you know, bitcoin 504 00:29:25,920 --> 00:29:29,680 Speaker 1: or doge coin. He has and he knows the value 505 00:29:29,720 --> 00:29:31,920 Speaker 1: of open source network. So what I think is going 506 00:29:32,000 --> 00:29:34,960 Speaker 1: to be interesting is is he going to bring these 507 00:29:35,000 --> 00:29:38,840 Speaker 1: elements of the crypto world, these anti censorship not elements, 508 00:29:38,840 --> 00:29:42,080 Speaker 1: the open source elements and allow for a way for 509 00:29:42,200 --> 00:29:46,560 Speaker 1: new people to come in and maybe import their own algorithm. 510 00:29:47,360 --> 00:29:50,800 Speaker 1: H Time now for our crypto report. That was the 511 00:29:50,840 --> 00:29:53,800 Speaker 1: Blockchain Associations Kristin Smith saying it's a good thing for 512 00:29:53,840 --> 00:29:57,800 Speaker 1: Twitter that Elon Musk is now on board this day three, 513 00:29:58,040 --> 00:29:59,880 Speaker 1: how of this developing story and I want to dig 514 00:29:59,880 --> 00:30:02,680 Speaker 1: a to it all with our crypto Contributornelli Bostick. Jan 515 00:30:02,760 --> 00:30:05,720 Speaker 1: Ali would love to hear how the crypto community is 516 00:30:05,760 --> 00:30:09,520 Speaker 1: digesting Elon Musk joining the board of Twitter, given he's 517 00:30:09,520 --> 00:30:13,320 Speaker 1: such He's been such a loud figure in the crypto community. 518 00:30:13,400 --> 00:30:17,160 Speaker 1: There's a huge crypto community on Twitter, and the future 519 00:30:17,240 --> 00:30:21,520 Speaker 1: of Twitter could be more decentralized. Yeah, it was interesting 520 00:30:21,560 --> 00:30:23,880 Speaker 1: to hear christ and Smith talk about it from the 521 00:30:23,920 --> 00:30:27,800 Speaker 1: decentralized social network standpoint, because you could also emily think 522 00:30:27,840 --> 00:30:31,520 Speaker 1: about it from a commerce standpoint. Remember, Twitter has already 523 00:30:31,520 --> 00:30:34,600 Speaker 1: started to integrate pieces of the Lightning Network here to 524 00:30:34,680 --> 00:30:37,840 Speaker 1: be able to make some payments possible via the platform 525 00:30:37,920 --> 00:30:40,440 Speaker 1: through the Lightning Network, which is obviously a very popular 526 00:30:40,520 --> 00:30:44,240 Speaker 1: project when it comes to bitcoin and payment transfers. But 527 00:30:44,480 --> 00:30:48,240 Speaker 1: the idea of decentralizing social media, there are a lot 528 00:30:48,240 --> 00:30:50,800 Speaker 1: of projects out there that people try to use when 529 00:30:50,800 --> 00:30:54,760 Speaker 1: it comes to media and decentralization, but they're still in 530 00:30:54,880 --> 00:30:57,120 Speaker 1: early days. Now. The question is can Twitter play a 531 00:30:57,160 --> 00:31:00,160 Speaker 1: bigger role in the space? Alright, Janel I say with us, 532 00:31:00,200 --> 00:31:01,400 Speaker 1: I want to bring in our next guest who is 533 00:31:01,480 --> 00:31:06,880 Speaker 1: joining us live from the Bitcoino conference in Miami, Pascal 534 00:31:07,040 --> 00:31:10,680 Speaker 1: go taste, CEO and chairman of the crypto security startup Ledger. 535 00:31:10,720 --> 00:31:12,640 Speaker 1: Before we dig in, Pascal, I'd love for you to 536 00:31:12,640 --> 00:31:15,920 Speaker 1: give us a flavor of bitcoino this year. Of course 537 00:31:15,920 --> 00:31:19,520 Speaker 1: it was big last year. Is it even bigger this year? 538 00:31:19,560 --> 00:31:23,520 Speaker 1: And what are people talking about? Yeah, this year is 539 00:31:23,600 --> 00:31:26,960 Speaker 1: very intense. Last year sadly I couldn't come because European 540 00:31:27,040 --> 00:31:28,920 Speaker 1: and so I couldn't I wasn't allowed to travel to 541 00:31:28,960 --> 00:31:31,880 Speaker 1: the US. But what I know from what people tell me, 542 00:31:31,920 --> 00:31:34,160 Speaker 1: it's like this year is even more intense of last year. 543 00:31:34,200 --> 00:31:37,080 Speaker 1: I think, you know, we're post pandemic, and so you know, 544 00:31:37,120 --> 00:31:39,160 Speaker 1: people are very happy to meet, like a meeting with 545 00:31:39,240 --> 00:31:42,360 Speaker 1: people that I've only met online so far, and right now, 546 00:31:42,440 --> 00:31:45,200 Speaker 1: you know, it's a very happy moment and you can 547 00:31:45,240 --> 00:31:48,800 Speaker 1: see that it's it's it's really going very strong with 548 00:31:48,960 --> 00:31:51,200 Speaker 1: a lot of support from you know, all communities that 549 00:31:51,200 --> 00:31:53,480 Speaker 1: are going towards bitcoins. So it's a great moment for bitcoin. 550 00:31:54,560 --> 00:31:58,120 Speaker 1: Ledger is known for its crypto hardware wallet and you're 551 00:31:58,120 --> 00:32:03,960 Speaker 1: out with a new one. How is this new better improved? Well, 552 00:32:03,960 --> 00:32:07,040 Speaker 1: it's just that you know, crypto currencies are evolving, and 553 00:32:07,080 --> 00:32:10,360 Speaker 1: so with the evolution of the protocols and the evolution 554 00:32:10,400 --> 00:32:12,360 Speaker 1: of like you know, the application that's seen on top 555 00:32:12,400 --> 00:32:16,200 Speaker 1: of protocols. You just need new hardware to enhance the experience. 556 00:32:16,240 --> 00:32:19,920 Speaker 1: And you know the Ledger nos plus is it's just 557 00:32:20,000 --> 00:32:21,920 Speaker 1: the result of that, Like you need norse, you need 558 00:32:21,920 --> 00:32:25,000 Speaker 1: more space, you know, you need more usability, and so 559 00:32:25,120 --> 00:32:27,400 Speaker 1: this is what's happening. So it's a product that was 560 00:32:27,480 --> 00:32:30,080 Speaker 1: long overdue. It's out now in the market, and there 561 00:32:30,120 --> 00:32:32,479 Speaker 1: will be many more products coming for Ledger in the future. 562 00:32:32,760 --> 00:32:35,040 Speaker 1: You know, there have been a lot more instances of 563 00:32:35,480 --> 00:32:37,640 Speaker 1: scams and hacks and the n f T and in 564 00:32:37,720 --> 00:32:42,840 Speaker 1: the DeFi space. How is Ledger attracking attacking? What's happening here? 565 00:32:43,200 --> 00:32:46,240 Speaker 1: And can you keep up with the technology that hackers 566 00:32:46,280 --> 00:32:51,280 Speaker 1: are using to to get into new spaces? Yes, of course, 567 00:32:51,320 --> 00:32:53,400 Speaker 1: I mean you know hikers are always hiking in exactly 568 00:32:53,440 --> 00:32:55,880 Speaker 1: the same way. You know, the problem is education in 569 00:32:55,920 --> 00:32:57,920 Speaker 1: the space, and you know people are understanding that they 570 00:32:58,000 --> 00:33:00,920 Speaker 1: need hardware security. Just think you're their assets. You know, 571 00:33:00,960 --> 00:33:04,360 Speaker 1: this is the fundamental truth of cryptocurrencies n f T. 572 00:33:04,480 --> 00:33:07,800 Speaker 1: I mean, anything that has a private key needs hardware security, 573 00:33:07,840 --> 00:33:10,360 Speaker 1: and so people need to learn and usually you know 574 00:33:10,440 --> 00:33:12,880 Speaker 1: they sometimes they learn the hardware and we're sorry for that. 575 00:33:12,960 --> 00:33:15,000 Speaker 1: But when it comes to n f T, you know, 576 00:33:15,120 --> 00:33:17,600 Speaker 1: NFT is treated as a first class citizen on all 577 00:33:17,680 --> 00:33:20,160 Speaker 1: Ledger products, and right now, depending on the n f 578 00:33:20,240 --> 00:33:23,200 Speaker 1: T collection, you've got between twenty five and four of 579 00:33:23,280 --> 00:33:25,600 Speaker 1: all n f T s that are already secured by Ledgers. 580 00:33:25,600 --> 00:33:27,520 Speaker 1: So I think we're doing our job and you know 581 00:33:27,560 --> 00:33:30,280 Speaker 1: the communities are responding well and using our product to 582 00:33:30,320 --> 00:33:32,840 Speaker 1: secure themselves. What do you think about competition in the 583 00:33:32,880 --> 00:33:35,160 Speaker 1: space also, you know there's news of Jack Dorsey and 584 00:33:35,200 --> 00:33:39,000 Speaker 1: the block working on hardware wallets. Are you nervous about 585 00:33:39,040 --> 00:33:41,200 Speaker 1: that and how does it change the competition when it 586 00:33:41,200 --> 00:33:45,800 Speaker 1: comes to the wallet space. Well, first, I think competition 587 00:33:46,040 --> 00:33:47,720 Speaker 1: is always welcome. You know, it means that there is 588 00:33:47,720 --> 00:33:49,680 Speaker 1: a space and it means that there is something there. 589 00:33:49,720 --> 00:33:52,480 Speaker 1: So you know, Ledger is is a very strong company 590 00:33:52,520 --> 00:33:56,320 Speaker 1: and there are a few hardware manufactus what it manufacturers 591 00:33:56,320 --> 00:33:57,840 Speaker 1: in the world. But you know the fact that Jack 592 00:33:57,880 --> 00:34:01,120 Speaker 1: Dorsey and blog and taking a taking this is good. 593 00:34:01,880 --> 00:34:04,080 Speaker 1: We we we know them, we talk to them, and 594 00:34:04,120 --> 00:34:06,040 Speaker 1: you know, I feel that what they're doing is actually 595 00:34:06,080 --> 00:34:10,759 Speaker 1: you know, something that is bitcoin mainly and within the 596 00:34:10,760 --> 00:34:12,880 Speaker 1: realm of what Block and Square doing. You know, I 597 00:34:12,920 --> 00:34:15,319 Speaker 1: think that Ledger is a much more holistic approach. Like 598 00:34:15,360 --> 00:34:18,880 Speaker 1: you know, we are hardware manufacturer. We care for every community. 599 00:34:18,960 --> 00:34:21,279 Speaker 1: We're not deedpoint only you know, of course, we're vary 600 00:34:21,360 --> 00:34:23,520 Speaker 1: from a bitcoin, but we are multi chain, and I 601 00:34:23,560 --> 00:34:26,960 Speaker 1: think the future is to hide away the complexity for users, 602 00:34:27,000 --> 00:34:28,800 Speaker 1: like they shouldn't worry so much about the chain, but 603 00:34:28,840 --> 00:34:31,719 Speaker 1: they should worry about you know, manufacturers like us worry 604 00:34:31,719 --> 00:34:34,399 Speaker 1: about the experience in the future. So we are very 605 00:34:34,440 --> 00:34:36,640 Speaker 1: focused on the journey of the user and making sure 606 00:34:36,640 --> 00:34:38,839 Speaker 1: that we support every community in crypto, and I think 607 00:34:39,160 --> 00:34:42,160 Speaker 1: that's where we're very different from everyone else. Well, speaking 608 00:34:42,160 --> 00:34:45,120 Speaker 1: of communities in crypto, there's a big one on Twitter. 609 00:34:45,320 --> 00:34:47,400 Speaker 1: And since we mentioned Jack Dorsey, I'm curious when you 610 00:34:47,440 --> 00:34:51,440 Speaker 1: think about Elon Musk joining the board of Twitter, given 611 00:34:51,480 --> 00:34:56,160 Speaker 1: his thoughts on decentralization and his own sort of role 612 00:34:56,440 --> 00:35:00,920 Speaker 1: in the crypto community, how does that strike you? You 613 00:35:00,960 --> 00:35:03,520 Speaker 1: know where what it strikes me the most is I think, 614 00:35:03,560 --> 00:35:05,279 Speaker 1: you know, I followed all of this and I think 615 00:35:05,280 --> 00:35:08,040 Speaker 1: Elon Musk is a beautiful troll and I think it's amazing, 616 00:35:08,080 --> 00:35:10,880 Speaker 1: and so I think he's taking a stance at freedom. 617 00:35:10,920 --> 00:35:12,960 Speaker 1: I think, you know, freedom is a concept here that 618 00:35:13,080 --> 00:35:17,279 Speaker 1: you know that Elon is standing behind, and uh, you know, 619 00:35:17,320 --> 00:35:21,080 Speaker 1: freedom of speech, and I think, of course is big. 620 00:35:21,160 --> 00:35:23,400 Speaker 1: The reason why it's big on discerent t realization is 621 00:35:23,400 --> 00:35:26,520 Speaker 1: because decentralization brings freedom to the people, and I think 622 00:35:26,920 --> 00:35:30,320 Speaker 1: freedom is really motivates in here. And actually freedom is 623 00:35:30,360 --> 00:35:32,360 Speaker 1: what ledgury is all about. Like we want to empower 624 00:35:32,440 --> 00:35:35,520 Speaker 1: people with tools so they can you know, we claim 625 00:35:35,640 --> 00:35:39,839 Speaker 1: their self sovereignty, like on you know, what they want 626 00:35:39,920 --> 00:35:42,600 Speaker 1: to own, whether it's a bitcoin, whether it's an n 627 00:35:42,640 --> 00:35:44,640 Speaker 1: f T or everything else that's going to go on 628 00:35:44,680 --> 00:35:47,320 Speaker 1: blockchain in the future. So I'm very aligned with you 629 00:35:47,560 --> 00:35:49,880 Speaker 1: much move and you know he roots for freedom and 630 00:35:49,880 --> 00:35:53,200 Speaker 1: so are we. So go on. You don't normally hear 631 00:35:53,239 --> 00:35:56,440 Speaker 1: the words beautiful and troll together. How can a troll 632 00:35:56,920 --> 00:36:00,200 Speaker 1: be beautiful? Oh, because I think it's a is an 633 00:36:00,200 --> 00:36:02,480 Speaker 1: Internet genius, Like every time you post something, he breaks 634 00:36:02,520 --> 00:36:05,000 Speaker 1: the internet. So but I think sometimes it's throwing. I 635 00:36:05,000 --> 00:36:08,000 Speaker 1: mean we're talking about like in being a promoter or crypto. 636 00:36:08,080 --> 00:36:10,640 Speaker 1: I don't think you know, being a promoto does is 637 00:36:11,280 --> 00:36:12,840 Speaker 1: you know the best that you can do for crypto, 638 00:36:12,920 --> 00:36:15,120 Speaker 1: but Elon is doing it. So you know, I don't 639 00:36:15,200 --> 00:36:17,799 Speaker 1: agree with everything that you know, the must say, but 640 00:36:17,920 --> 00:36:20,360 Speaker 1: I have to say that, you know is the is 641 00:36:20,360 --> 00:36:23,040 Speaker 1: an Internet magician, so you know, you have to respect that. 642 00:36:23,160 --> 00:36:26,480 Speaker 1: You know, this idea of security and and some of 643 00:36:26,520 --> 00:36:29,600 Speaker 1: these big names Elon Musk when it comes to potential 644 00:36:29,680 --> 00:36:33,279 Speaker 1: crypto and Twitter and Jack Dorrisey getting deeper into crypto. 645 00:36:33,400 --> 00:36:36,640 Speaker 1: At the end of the day, with crypto being down 646 00:36:36,840 --> 00:36:40,000 Speaker 1: even among one of the biggest conferences that surround bitcoin, 647 00:36:40,600 --> 00:36:43,200 Speaker 1: what are you seeing in terms of institutional interests and 648 00:36:43,239 --> 00:36:45,600 Speaker 1: what's stopping people at the end of the day really 649 00:36:45,640 --> 00:36:50,839 Speaker 1: from getting in. Nothing is stopping people to get in now. 650 00:36:50,920 --> 00:36:52,960 Speaker 1: I think I think people need to understand that with crypto, 651 00:36:53,080 --> 00:36:56,040 Speaker 1: we sort of we just got into like a thirty 652 00:36:56,080 --> 00:36:59,759 Speaker 1: years uh you know, uh circle of like going up. 653 00:37:00,040 --> 00:37:04,680 Speaker 1: You know, like there is massive adoption anywhere anywhere you 654 00:37:04,719 --> 00:37:07,160 Speaker 1: look at, you know, whether it's cryptocurrencies, n f T s. 655 00:37:07,239 --> 00:37:09,640 Speaker 1: I think that the next big thing will be played 656 00:37:09,680 --> 00:37:13,719 Speaker 1: to earn um and so you know, everyone is coming 657 00:37:13,760 --> 00:37:19,080 Speaker 1: in from from retail perspective, but also from an institutional perspective. 658 00:37:19,080 --> 00:37:20,560 Speaker 1: You know, I've been in these games. It's two does 659 00:37:20,600 --> 00:37:22,920 Speaker 1: and fourteen. And I can tell you that now no 660 00:37:22,960 --> 00:37:26,759 Speaker 1: one is doubting the you know crypto or bitcoin or 661 00:37:27,000 --> 00:37:29,920 Speaker 1: you know bloog chain technologies. Like everyone wants in and 662 00:37:29,960 --> 00:37:33,799 Speaker 1: so you have an amazing phenomenon because it's worldwide two 663 00:37:33,840 --> 00:37:36,240 Speaker 1: Like everyone is getting in from everywhere in the world. 664 00:37:36,480 --> 00:37:38,520 Speaker 1: And this is actually very unique. This is the first 665 00:37:38,520 --> 00:37:41,279 Speaker 1: time that everyone everywhere in the world is getting in 666 00:37:41,280 --> 00:37:43,879 Speaker 1: into the same technology rail. And so this is why 667 00:37:43,920 --> 00:37:48,520 Speaker 1: you see so much momentum going happening right now. Pascal 668 00:37:48,800 --> 00:37:51,480 Speaker 1: Gaultier Ledger CEO and Share will let you get back 669 00:37:51,520 --> 00:37:54,200 Speaker 1: to Bitcoin Miami. Thank you for taking the time along 670 00:37:54,200 --> 00:38:06,719 Speaker 1: with Bloomberg. Apple is back online the iphonemaker, announcing it 671 00:38:06,719 --> 00:38:10,000 Speaker 1: will hold its annual Worldwide Developers Conference virtually for the 672 00:38:10,080 --> 00:38:12,839 Speaker 1: third year in a row, a sign that major tech 673 00:38:12,880 --> 00:38:15,839 Speaker 1: events are still a ways off from returning to pre 674 00:38:15,920 --> 00:38:18,600 Speaker 1: pandemic norms. I want to bring in our Mark German, 675 00:38:18,640 --> 00:38:21,440 Speaker 1: who of course covers Apple for us, So we mark. 676 00:38:21,480 --> 00:38:23,400 Speaker 1: Apple has been leading a push to come back to 677 00:38:23,600 --> 00:38:26,560 Speaker 1: its office for its own employees. Why hold this event 678 00:38:26,640 --> 00:38:30,360 Speaker 1: virtually again? Yeah, they really had no choice but to 679 00:38:30,400 --> 00:38:33,120 Speaker 1: do this virtually, right, We don't know what's going to 680 00:38:33,200 --> 00:38:35,040 Speaker 1: happen with COVID over the next two months or so. 681 00:38:35,160 --> 00:38:39,680 Speaker 1: It's not predictable. These shows take several months to put together, right, 682 00:38:39,920 --> 00:38:41,880 Speaker 1: They either have to put three months of time and 683 00:38:42,000 --> 00:38:45,200 Speaker 1: developing an in person version or three months time developing 684 00:38:45,200 --> 00:38:47,920 Speaker 1: an online version. And it's really hard to put you 685 00:38:48,120 --> 00:38:50,960 Speaker 1: all your effort and if you're splitting it across both, 686 00:38:51,160 --> 00:38:53,120 Speaker 1: so they have to pick one direction, and the in 687 00:38:53,200 --> 00:38:55,879 Speaker 1: person direction is just not safe at this point. Who 688 00:38:55,920 --> 00:38:57,880 Speaker 1: knows what could happen with COVID one week or the 689 00:38:57,960 --> 00:38:59,640 Speaker 1: day of the event where they have to cancel the 690 00:38:59,640 --> 00:39:02,040 Speaker 1: whole thing. Apple was in a position where it really 691 00:39:02,080 --> 00:39:04,600 Speaker 1: couldn't afford to become stuck, so we'd have to go 692 00:39:04,680 --> 00:39:07,239 Speaker 1: online only. And the compromises they're going to allow a 693 00:39:07,239 --> 00:39:09,440 Speaker 1: small number of people in the Steve Jobs Theater at 694 00:39:09,480 --> 00:39:12,879 Speaker 1: the Apple Park headquarters to watch the prerecorded video live. 695 00:39:13,760 --> 00:39:17,520 Speaker 1: So what are we expecting the substance of this developers 696 00:39:17,560 --> 00:39:21,480 Speaker 1: conference will be? What will be the big announcements? I 697 00:39:21,520 --> 00:39:25,240 Speaker 1: think this is gonna be a fairly strong Apple Developer conference. 698 00:39:25,360 --> 00:39:28,400 Speaker 1: Right They are scheduled to release new Max, including a 699 00:39:28,400 --> 00:39:30,160 Speaker 1: new version of the MacBook Air, around the middle of 700 00:39:30,239 --> 00:39:33,480 Speaker 1: the year, so perhaps they use ABDWDC to introduce that laptop. 701 00:39:33,800 --> 00:39:35,799 Speaker 1: That's going to be a very big deal. Obviously there's 702 00:39:35,800 --> 00:39:37,640 Speaker 1: lots of fans of the MacBook Air and this will 703 00:39:37,640 --> 00:39:40,160 Speaker 1: be the biggest redesign and the product's history, and we'll 704 00:39:40,200 --> 00:39:42,680 Speaker 1: have a new version of the Apple in house. Chips 705 00:39:43,239 --> 00:39:46,280 Speaker 1: were also looking for major fitness tracking and health upgrades 706 00:39:46,320 --> 00:39:48,200 Speaker 1: on the Apple Watch, as well as a pretty big 707 00:39:48,280 --> 00:39:51,560 Speaker 1: update to iOS Dios sixteen, though I'm not expecting a 708 00:39:51,600 --> 00:39:55,400 Speaker 1: full blown redesign. And additionally, there should be some conversation 709 00:39:55,440 --> 00:39:58,440 Speaker 1: about a R and VR applications ahead of a larger 710 00:39:58,480 --> 00:40:02,239 Speaker 1: reveal of its mixed reality hardware for its headset later 711 00:40:02,320 --> 00:40:06,040 Speaker 1: this year or next year. You've been reporting on Apple's 712 00:40:06,280 --> 00:40:09,520 Speaker 1: return to the office and push back from some employees. 713 00:40:09,840 --> 00:40:12,440 Speaker 1: How is this evolving? I mean, and could you see 714 00:40:12,800 --> 00:40:15,359 Speaker 1: Apple losing talent as a result when you know other 715 00:40:15,360 --> 00:40:19,319 Speaker 1: companies are also pushing for people to come back. Yes, 716 00:40:19,400 --> 00:40:21,759 Speaker 1: So next week that's the deadline to start returning to 717 00:40:21,760 --> 00:40:24,000 Speaker 1: the office if you're an Apple corporate employee. Right, So 718 00:40:24,000 --> 00:40:25,880 Speaker 1: they'll start one day a week in the office on 719 00:40:25,920 --> 00:40:28,520 Speaker 1: April eleven, right next Monday, and then a few weeks 720 00:40:28,520 --> 00:40:30,279 Speaker 1: after that, it will be two days a week, and 721 00:40:30,320 --> 00:40:32,040 Speaker 1: by the end of May, or a week before the 722 00:40:32,160 --> 00:40:34,080 Speaker 1: end of May, they're going to expect employees in the 723 00:40:34,080 --> 00:40:37,520 Speaker 1: office Monday's, Tuesdays, and Thursdays. Now, I would say there's 724 00:40:37,560 --> 00:40:39,880 Speaker 1: probably at least a few hundred employees who are leaving 725 00:40:39,920 --> 00:40:43,680 Speaker 1: Apple over that policy. But you know, we should note 726 00:40:43,680 --> 00:40:46,160 Speaker 1: that Apple has over a hundred and sixty thousand employees. 727 00:40:46,520 --> 00:40:49,120 Speaker 1: Obviously most of that is retailed. It's still several tens 728 00:40:49,120 --> 00:40:51,280 Speaker 1: of thousands of employees, so this is a small number 729 00:40:51,600 --> 00:40:54,279 Speaker 1: of people all together. The interesting thing to me, if you, 730 00:40:54,320 --> 00:40:56,640 Speaker 1: if anyone wants to read my Business Week story on this, 731 00:40:56,920 --> 00:40:59,879 Speaker 1: is that Apple put out a nine minute advertisement how 732 00:41:00,200 --> 00:41:02,840 Speaker 1: how great its own products, software and services are for 733 00:41:02,880 --> 00:41:06,120 Speaker 1: remote work. Yeah, it's recording those very people who developed 734 00:41:06,120 --> 00:41:08,279 Speaker 1: those products to work from the office. So a little 735 00:41:08,280 --> 00:41:11,759 Speaker 1: bit of irony right there. Irony. Indeed, Mark German as 736 00:41:11,800 --> 00:41:14,600 Speaker 1: always great to have you. Thanks, and that does it 737 00:41:14,719 --> 00:41:17,400 Speaker 1: for this edition of Bloomberg Technology. We are back tomorrow. 738 00:41:17,440 --> 00:41:20,120 Speaker 1: We're gonna be joined by J. B. Unknown, President and 739 00:41:20,360 --> 00:41:24,400 Speaker 1: CEO of eBay. And don't forget to check out our podcasts. 740 00:41:24,600 --> 00:41:27,680 Speaker 1: Find it anywhere you get your podcast. I'm Emily Chang 741 00:41:27,680 --> 00:41:29,680 Speaker 1: in San Francisco. This is Bloomberg