1 00:00:02,279 --> 00:00:05,560 Speaker 1: From the heart of where innovation, money and power COLLI 2 00:00:06,400 --> 00:00:10,920 Speaker 1: in Silicon Valley and beyond. This is Bloomberg Technology with 3 00:00:10,960 --> 00:00:27,560 Speaker 1: Emily Jay. I'm Emily check in San Francisco, and this 4 00:00:27,720 --> 00:00:30,920 Speaker 1: is Bloomberg Technology coming up in the next hour. It 5 00:00:31,040 --> 00:00:33,400 Speaker 1: was a bad week for tech stock that just kept 6 00:00:33,400 --> 00:00:35,879 Speaker 1: getting worse from big names too small. It was the 7 00:00:35,880 --> 00:00:40,360 Speaker 1: worst five days for the nast accents January as investors 8 00:00:40,360 --> 00:00:44,839 Speaker 1: wonder what the Fed does next. Plus Grinder, the dating 9 00:00:44,840 --> 00:00:47,360 Speaker 1: app focused on the l g B t Q plus 10 00:00:47,560 --> 00:00:50,519 Speaker 1: community as a new CEO or conversation with George Harrison 11 00:00:50,920 --> 00:00:54,560 Speaker 1: as it readies for a public debut, And bad news 12 00:00:54,600 --> 00:00:58,279 Speaker 1: for Star Wars fans, Disney has pulled the upcoming film 13 00:00:58,440 --> 00:01:02,640 Speaker 1: Rogue Squadron from its three release calendar. How this will 14 00:01:02,720 --> 00:01:08,040 Speaker 1: impact theaters globally this hour. I am a hacker. That 15 00:01:08,200 --> 00:01:11,840 Speaker 1: is the Slack message that Uber employees received from an 16 00:01:11,920 --> 00:01:15,360 Speaker 1: unknown source late Thursday, prompting the company to shut down 17 00:01:15,440 --> 00:01:19,400 Speaker 1: its internal Slack messaging as it investigates a massive cyber breach. 18 00:01:19,520 --> 00:01:22,440 Speaker 1: This according to The New York Times. My next guest 19 00:01:22,520 --> 00:01:25,600 Speaker 1: casey Ls is the founder and ct O of bug Crowd, 20 00:01:25,640 --> 00:01:28,640 Speaker 1: a bug bounty company that specializes in identifying errors or 21 00:01:28,720 --> 00:01:32,560 Speaker 1: vulnerabilities in other companies software systems. He joins us now 22 00:01:33,040 --> 00:01:36,760 Speaker 1: to break it all down. So it sounds pretty serious. Casey, 23 00:01:36,800 --> 00:01:39,839 Speaker 1: I know, there's a real fire drill happening inside uber 24 00:01:40,000 --> 00:01:42,720 Speaker 1: right now. How did this happen? Yeah, so thank you 25 00:01:42,760 --> 00:01:45,480 Speaker 1: for having me. Um. You know, bug crowd works with 26 00:01:45,520 --> 00:01:47,320 Speaker 1: hackers all the time, but this was one of the 27 00:01:47,960 --> 00:01:50,480 Speaker 1: bad ones that we try to stop. Essentially, what we 28 00:01:50,520 --> 00:01:52,760 Speaker 1: know at this point is that there was either through 29 00:01:52,880 --> 00:01:58,080 Speaker 1: text messaging or possibly a multi factor push message notification, 30 00:01:58,520 --> 00:02:02,480 Speaker 1: basically a spam campaign conducted against people with with elevated 31 00:02:02,520 --> 00:02:07,960 Speaker 1: privilege within uber. Um. That spam campaign was successful, and um, 32 00:02:08,120 --> 00:02:10,760 Speaker 1: you know, because of that success, the the attacker got 33 00:02:10,800 --> 00:02:13,400 Speaker 1: access to credentials that got them inside the network. Once 34 00:02:13,400 --> 00:02:16,240 Speaker 1: they're inside, they're able to to move around, you know, 35 00:02:16,240 --> 00:02:19,080 Speaker 1: find additional information to escalate their privilege and and do 36 00:02:19,200 --> 00:02:20,720 Speaker 1: some of the things that caused, you know, some of 37 00:02:20,720 --> 00:02:23,160 Speaker 1: the weirdness that was on Slack for example, to that 38 00:02:23,240 --> 00:02:25,720 Speaker 1: started to break yesterday. Let's talk about the weirdness. One 39 00:02:25,720 --> 00:02:29,400 Speaker 1: of my sources says there are unseemly pictures all over 40 00:02:29,440 --> 00:02:35,560 Speaker 1: their internal networks. Aside from wreaking havoc. What kind of 41 00:02:35,680 --> 00:02:39,760 Speaker 1: valuable information could they've gotten their hands on. Yeah, it's 42 00:02:39,760 --> 00:02:43,000 Speaker 1: it's speculation at this point because you know, I think Uber, 43 00:02:43,400 --> 00:02:46,880 Speaker 1: as of two hours ago, they're they're basically posting precautions. 44 00:02:46,919 --> 00:02:49,000 Speaker 1: There was there was obviously the notice and the report 45 00:02:49,040 --> 00:02:51,560 Speaker 1: of them, you know, telling their internal employees to stop 46 00:02:51,639 --> 00:02:56,840 Speaker 1: using Slack and so on. Um So it looks from 47 00:02:56,880 --> 00:03:00,000 Speaker 1: from the outside in that you know, nothing is necessarily 48 00:03:00,080 --> 00:03:02,079 Speaker 1: off the table at this point, and there's still obviously 49 00:03:02,200 --> 00:03:04,720 Speaker 1: a lot of incident response going down, like Uber is 50 00:03:04,760 --> 00:03:08,920 Speaker 1: having a very busy Friday and quite likely a very 51 00:03:08,960 --> 00:03:11,000 Speaker 1: busy weekend just being able to reverse this thing out 52 00:03:11,000 --> 00:03:13,079 Speaker 1: and work out exactly what has happened so they can 53 00:03:13,080 --> 00:03:16,840 Speaker 1: take the appropriate response steps and and obviously alert people 54 00:03:17,360 --> 00:03:19,320 Speaker 1: um as as necessary as well. But you know, as 55 00:03:19,320 --> 00:03:21,440 Speaker 1: at this point in time, they're they're saying that, you know, 56 00:03:21,720 --> 00:03:25,120 Speaker 1: things like private user data has not been accessed, uh 57 00:03:25,320 --> 00:03:28,440 Speaker 1: and and so on. So it's not necessarily um an 58 00:03:28,480 --> 00:03:30,600 Speaker 1: assumption that the attack has gone and gotten everything and 59 00:03:30,760 --> 00:03:32,760 Speaker 1: and used all of that. But obviously they've had a 60 00:03:32,760 --> 00:03:35,280 Speaker 1: lot more access than they should and when anything like 61 00:03:35,320 --> 00:03:37,560 Speaker 1: that happens, especially with some of the kind of trolling 62 00:03:37,600 --> 00:03:38,960 Speaker 1: that seemed to go on and off the back of 63 00:03:38,960 --> 00:03:42,360 Speaker 1: the hack, inside the inside the corporate environment of of 64 00:03:42,480 --> 00:03:45,080 Speaker 1: uber Um. There's a lot of work to be done 65 00:03:45,120 --> 00:03:46,880 Speaker 1: to figure out, you know, what exactly has happened so 66 00:03:46,880 --> 00:03:49,200 Speaker 1: it can be fixed, you know, as you say, Uber 67 00:03:49,240 --> 00:03:52,120 Speaker 1: says they have no evidence that the incident involved access 68 00:03:52,160 --> 00:03:56,440 Speaker 1: to sensitive Uber data. It doesn't seem like the Uber service, 69 00:03:56,600 --> 00:04:01,560 Speaker 1: the public Uber right sharing service has been impacted yet, right, Yeah, 70 00:04:01,600 --> 00:04:04,960 Speaker 1: it seems like yeah, correct. They seem to be focusing on, 71 00:04:05,000 --> 00:04:08,440 Speaker 1: you know, continuing operations and providing business as usual. But 72 00:04:08,480 --> 00:04:11,480 Speaker 1: obviously Um you know, talking to folk on on the 73 00:04:11,520 --> 00:04:15,160 Speaker 1: inside and folk rounds the situation. They are very busily 74 00:04:15,440 --> 00:04:17,640 Speaker 1: burning the whole thing down and working out exactly what 75 00:04:17,760 --> 00:04:19,600 Speaker 1: needs to be taken as a as a response step 76 00:04:19,600 --> 00:04:22,880 Speaker 1: and as future precautionary steps as well. All external services 77 00:04:22,920 --> 00:04:26,640 Speaker 1: operational to this point. Now, there's an interesting bug bounty 78 00:04:26,839 --> 00:04:29,920 Speaker 1: tie in here in that the perpetrator also got into 79 00:04:30,000 --> 00:04:34,760 Speaker 1: their hacker one system, which helps the company um pay 80 00:04:34,880 --> 00:04:39,159 Speaker 1: bug bounties to people who find vulnerabilities in Uber system. 81 00:04:39,200 --> 00:04:43,080 Speaker 1: This is similar to what your company bug crowd does. 82 00:04:43,560 --> 00:04:46,120 Speaker 1: What do you make of this yeah, it's it's similar 83 00:04:46,160 --> 00:04:48,880 Speaker 1: to to a big part of what we do for sure. Look, 84 00:04:49,200 --> 00:04:51,000 Speaker 1: I think what I what I make of that is 85 00:04:51,080 --> 00:04:53,920 Speaker 1: that that's actually how I first lewent of of of 86 00:04:53,960 --> 00:04:57,880 Speaker 1: the issue. There was there was basically more spam. So 87 00:04:57,960 --> 00:05:00,480 Speaker 1: you talked about some of the inappropriate pitch is and 88 00:05:00,960 --> 00:05:03,640 Speaker 1: there was you know, apparently bands are going on on 89 00:05:03,640 --> 00:05:06,400 Speaker 1: on the corporate slack um, you know, people interacting with 90 00:05:06,400 --> 00:05:10,000 Speaker 1: with the attacker and so forth. UM. Kind of carrying 91 00:05:10,000 --> 00:05:13,000 Speaker 1: along that same line, there was messages that got sent 92 00:05:13,040 --> 00:05:16,800 Speaker 1: out to basically everyone in the researcher community or in 93 00:05:16,839 --> 00:05:19,120 Speaker 1: the white called the white hat hacker or the good 94 00:05:19,120 --> 00:05:23,080 Speaker 1: guy that thinks like bad guys um community who had 95 00:05:23,120 --> 00:05:26,440 Speaker 1: submitted an issue into hacker one in the past, basically 96 00:05:26,520 --> 00:05:28,800 Speaker 1: saying this is what's happened, like I'm in here now 97 00:05:29,040 --> 00:05:31,480 Speaker 1: just so you know. UM. They didn't really seem to 98 00:05:31,520 --> 00:05:33,520 Speaker 1: be much of an intend or purpose to that other 99 00:05:33,560 --> 00:05:35,839 Speaker 1: than just to make a bunch of noise, but it 100 00:05:35,880 --> 00:05:38,479 Speaker 1: definitely did UM. And you know, at that point in time, 101 00:05:38,480 --> 00:05:41,680 Speaker 1: you've obviously got a whole bunch of computer security experts 102 00:05:41,720 --> 00:05:44,200 Speaker 1: receiving this message. They jumped straight into like what the 103 00:05:44,200 --> 00:05:47,120 Speaker 1: hecks happened mode um, at which point, you know, I 104 00:05:47,200 --> 00:05:50,440 Speaker 1: noticed it and got involved and obviously started taking you know, 105 00:05:50,480 --> 00:05:53,640 Speaker 1: whatever steps might be necessary. From from our perspective at 106 00:05:53,680 --> 00:05:55,800 Speaker 1: bug crowd, it's like, Okay, if there's weird stuff going 107 00:05:55,839 --> 00:05:59,680 Speaker 1: on that's impacting the vulnerability disclosure and bug bounty space, 108 00:05:59,720 --> 00:06:01,600 Speaker 1: and we're obviously a large part of that spice, we 109 00:06:01,720 --> 00:06:03,920 Speaker 1: need to make sure that you know, there's nothing affecting 110 00:06:03,960 --> 00:06:06,200 Speaker 1: us as well, which sure enough it w wasn't decompy 111 00:06:06,240 --> 00:06:07,720 Speaker 1: too careful and this sort of thing starts to go 112 00:06:07,800 --> 00:06:11,560 Speaker 1: down well. Interestingly, at this very same time, Joe Sullivan, 113 00:06:11,640 --> 00:06:14,359 Speaker 1: the former chief security officer at Uber, has been on 114 00:06:14,480 --> 00:06:17,960 Speaker 1: trial for a data breach, a huge data breach that 115 00:06:18,000 --> 00:06:22,240 Speaker 1: happened back in sixteen that the company allegedly didn't notify 116 00:06:22,279 --> 00:06:25,480 Speaker 1: the public about when they should have. Uber at the time, 117 00:06:25,520 --> 00:06:28,640 Speaker 1: as I understand it paid this hacker a hundred thousand 118 00:06:28,640 --> 00:06:32,000 Speaker 1: dollars to make the hacker go away, but didn't properly 119 00:06:32,640 --> 00:06:38,240 Speaker 1: disclose it. Um, what do you make of of the 120 00:06:38,360 --> 00:06:41,880 Speaker 1: timing and also the history of Uber maybe not having 121 00:06:41,880 --> 00:06:46,360 Speaker 1: a great track record here. Yeah, it's it's interesting because 122 00:06:46,400 --> 00:06:49,280 Speaker 1: obviously that cases is ongoing at this point. I think 123 00:06:49,279 --> 00:06:51,680 Speaker 1: it's actually you know, it's in session today. It's been 124 00:06:51,680 --> 00:06:55,080 Speaker 1: in session pretty much a week, um, to my knowledge, 125 00:06:55,160 --> 00:06:57,920 Speaker 1: And you know, I think Joe's side of the story 126 00:06:57,960 --> 00:07:00,240 Speaker 1: and kind of the internal side of the story through 127 00:07:00,240 --> 00:07:04,719 Speaker 1: discoveries is playing out now. Um. You know, that whole 128 00:07:04,800 --> 00:07:07,839 Speaker 1: that whole incident, I mean, probably the other thing that 129 00:07:07,880 --> 00:07:09,960 Speaker 1: got my spidey sense is tingling just a little bit, 130 00:07:10,440 --> 00:07:12,480 Speaker 1: um with with the timing of all of this, was 131 00:07:12,520 --> 00:07:15,640 Speaker 1: obviously that that whole thing is going on currently with 132 00:07:15,680 --> 00:07:19,120 Speaker 1: respect to the to the breach. Um, You've got you know, 133 00:07:19,160 --> 00:07:21,200 Speaker 1: a bunch of other things happening that that are just 134 00:07:21,280 --> 00:07:26,200 Speaker 1: generally um, you know, encouraging I guess activist, Um, you know, 135 00:07:26,240 --> 00:07:31,680 Speaker 1: activism activity around you know, Bay Area tech. At the moment, 136 00:07:31,680 --> 00:07:33,320 Speaker 1: there's a there's a string of things that are happening 137 00:07:33,320 --> 00:07:38,760 Speaker 1: that's getting people's attention. You Mudge's testimony h earlier on 138 00:07:38,800 --> 00:07:40,440 Speaker 1: in the week was respect to Twitter, you know, the 139 00:07:40,440 --> 00:07:42,200 Speaker 1: stuff that's going on with cloud Flower over the past 140 00:07:42,200 --> 00:07:44,640 Speaker 1: couple of weeks. There's a lot of very heightened and 141 00:07:44,720 --> 00:07:47,280 Speaker 1: very passionate subjects kind of all boiling up at the 142 00:07:47,320 --> 00:07:51,400 Speaker 1: same time. Um. And that was frankly the correlation between 143 00:07:51,440 --> 00:07:53,080 Speaker 1: all of those things, and then this happening at Ober 144 00:07:53,200 --> 00:07:54,600 Speaker 1: was was one of the things that kind of you 145 00:07:55,080 --> 00:07:57,080 Speaker 1: caused me a bit of a sleepless, sleepless night last 146 00:07:57,160 --> 00:07:58,480 Speaker 1: night trying to figure out what that is going on. 147 00:07:59,120 --> 00:08:02,920 Speaker 1: But yeah, and so of you know, speaking to how 148 00:08:02,960 --> 00:08:05,240 Speaker 1: that reflects on Uba and how it reflects on all 149 00:08:05,240 --> 00:08:07,880 Speaker 1: of that, It's it's too early to say any of that, 150 00:08:07,920 --> 00:08:10,320 Speaker 1: you know. I think my my main thought right now 151 00:08:10,440 --> 00:08:13,720 Speaker 1: is is frankly, um, you know, sympathy and kind of 152 00:08:13,760 --> 00:08:15,640 Speaker 1: my heart going out to the security team that's having 153 00:08:15,640 --> 00:08:18,200 Speaker 1: to work a very long weekend coming up to burn 154 00:08:18,240 --> 00:08:20,160 Speaker 1: this whole thing down. So I think just starting there 155 00:08:20,200 --> 00:08:23,200 Speaker 1: is probably the right place to start long hard weekend 156 00:08:23,320 --> 00:08:25,840 Speaker 1: for sure, ahead of them. Casey Ellis, founder and CTEO 157 00:08:26,080 --> 00:08:29,760 Speaker 1: of bug Crowd, Thank you for stopping by. Coming up. 158 00:08:29,960 --> 00:08:32,800 Speaker 1: Grinder gets a brand new CEO. We're gonna speak with 159 00:08:32,800 --> 00:08:37,559 Speaker 1: George Arison next about his ideas for the popular dating 160 00:08:37,600 --> 00:08:54,640 Speaker 1: app Mrs Bloomberg. The dating app Grinder just announced the 161 00:08:54,640 --> 00:08:58,440 Speaker 1: new CEO, George Arison, co founder and former CEO of 162 00:08:58,480 --> 00:09:01,880 Speaker 1: the auto e commerce marketplace Shift. The ftill has applied 163 00:09:01,880 --> 00:09:04,760 Speaker 1: to a point someone who identifies with the lgbt Q 164 00:09:04,920 --> 00:09:08,160 Speaker 1: plus community in this top role. As the company prepares 165 00:09:08,200 --> 00:09:10,920 Speaker 1: to go public, George Arison joins us Now for more 166 00:09:11,480 --> 00:09:16,040 Speaker 1: on the big news. So stepping into a big role here, George. 167 00:09:16,080 --> 00:09:19,640 Speaker 1: But you have some experience with UM obviously a car 168 00:09:19,720 --> 00:09:23,400 Speaker 1: marketplace and on the board. What did you learn behind 169 00:09:23,480 --> 00:09:27,120 Speaker 1: the scenes that you think you bring to the table here. Look, 170 00:09:27,360 --> 00:09:30,960 Speaker 1: Grinder is an amazing company. UM I build a company 171 00:09:31,000 --> 00:09:33,800 Speaker 1: taken in public, but margins are always a challenge in 172 00:09:33,840 --> 00:09:36,480 Speaker 1: our on the auto business, and with Grinder, margins are 173 00:09:36,520 --> 00:09:40,560 Speaker 1: amazing and so that's obviously a very big difference. Grinder 174 00:09:40,640 --> 00:09:43,600 Speaker 1: is a really awesome business, but more importantly, it's a 175 00:09:43,679 --> 00:09:47,559 Speaker 1: really awesome mission. Right You're serving a community that's been 176 00:09:47,640 --> 00:09:50,880 Speaker 1: underserved and then uses this product in a really dramatic 177 00:09:50,920 --> 00:09:54,440 Speaker 1: way to connect And that mission to me is super 178 00:09:54,520 --> 00:09:56,960 Speaker 1: killing and I'm really excited to be UM to be 179 00:09:57,000 --> 00:09:59,640 Speaker 1: a part of it. Uh. And obviously Grinder has been 180 00:09:59,679 --> 00:10:01,719 Speaker 1: around for a long time since two thousand and nine. 181 00:10:01,960 --> 00:10:04,360 Speaker 1: The product, as we haven't really finally changed in that 182 00:10:04,440 --> 00:10:07,480 Speaker 1: time period. People have used it the same way for 183 00:10:07,480 --> 00:10:10,319 Speaker 1: for a long time, but the features that it offers 184 00:10:10,520 --> 00:10:13,760 Speaker 1: have obviously expanded. It's come from being just about sex 185 00:10:13,800 --> 00:10:15,839 Speaker 1: to being about dating, and now it's used that in 186 00:10:15,880 --> 00:10:18,600 Speaker 1: a lot of pub ways. And my goal, let's see, 187 00:10:18,640 --> 00:10:20,320 Speaker 1: I was going to be to try to continue nurture 188 00:10:20,400 --> 00:10:23,360 Speaker 1: this really incredible product um and the community that it 189 00:10:23,400 --> 00:10:25,440 Speaker 1: serves in the best way. We can talk to us 190 00:10:25,440 --> 00:10:28,280 Speaker 1: a little bit more about how Grinder is used globally, 191 00:10:28,320 --> 00:10:31,200 Speaker 1: because I think there's you know, one impression it is, 192 00:10:31,240 --> 00:10:34,160 Speaker 1: you know, quote unquote just a dating app, but it's 193 00:10:34,280 --> 00:10:37,760 Speaker 1: actually so much more. Yeah, I mean, in so many 194 00:10:37,840 --> 00:10:41,040 Speaker 1: there's so many other things. People use it for. Travels 195 00:10:41,120 --> 00:10:44,160 Speaker 1: and massive feature said that people use it for and 196 00:10:44,200 --> 00:10:46,199 Speaker 1: it's all, by the way organic. It's not like Grinders 197 00:10:46,280 --> 00:10:49,800 Speaker 1: built products to facilitate travel, but people logged into a 198 00:10:49,880 --> 00:10:52,600 Speaker 1: city they might be visiting to start talking to people 199 00:10:52,640 --> 00:10:55,360 Speaker 1: about where they should say, what they should do, where 200 00:10:55,400 --> 00:10:58,160 Speaker 1: they should um go out to dinner or go out 201 00:10:58,160 --> 00:11:00,800 Speaker 1: to have fun. So in a very organic way, people 202 00:11:00,880 --> 00:11:04,680 Speaker 1: use it for travel. Health information is another massive feature 203 00:11:04,840 --> 00:11:08,440 Speaker 1: and Grinder with the market pops epidemic right now, Grinder 204 00:11:08,480 --> 00:11:12,559 Speaker 1: has been very active in helping our user base understand 205 00:11:12,640 --> 00:11:14,800 Speaker 1: that there's a problem and where to get vaccines, how 206 00:11:14,840 --> 00:11:17,079 Speaker 1: to get them. There's even like a feature inside the 207 00:11:17,120 --> 00:11:19,000 Speaker 1: app to find out a way should go get a vaccine. 208 00:11:19,320 --> 00:11:21,679 Speaker 1: So people use Grinder in a ton of different ways. 209 00:11:22,040 --> 00:11:24,760 Speaker 1: One of the interesting things for me on the board 210 00:11:24,800 --> 00:11:27,800 Speaker 1: the last couple of months, we left one of the 211 00:11:27,920 --> 00:11:31,520 Speaker 1: very challenging countries UM to be operating in and to 212 00:11:31,640 --> 00:11:35,880 Speaker 1: be gay in UM recently because we just didn't feel comfortable. 213 00:11:36,280 --> 00:11:39,040 Speaker 1: And you know, we heard that so much feedback from 214 00:11:39,520 --> 00:11:41,640 Speaker 1: using in that country and and use in that country 215 00:11:41,920 --> 00:11:43,959 Speaker 1: pleading with us to come back. So the board with 216 00:11:44,080 --> 00:11:45,840 Speaker 1: us decides should we go back or not? And I 217 00:11:45,840 --> 00:11:48,600 Speaker 1: mean it's like a life wort deficio almost in some ways. 218 00:11:48,640 --> 00:11:50,520 Speaker 1: On the one hand, people want to use the product 219 00:11:50,600 --> 00:11:53,440 Speaker 1: to connect and it's super valuable. On the folk side, 220 00:11:53,480 --> 00:11:55,520 Speaker 1: we know that the state uses the product to try 221 00:11:55,559 --> 00:11:58,240 Speaker 1: to find people who are gay, And like which society 222 00:11:58,280 --> 00:12:00,360 Speaker 1: you kind of go on, right, you deny people product 223 00:12:00,400 --> 00:12:02,760 Speaker 1: that's really important to them, or do you allow them 224 00:12:02,800 --> 00:12:06,800 Speaker 1: to have the product at risk their security? Really tough issue. 225 00:12:07,080 --> 00:12:08,719 Speaker 1: I won't rebuild the country it's in because I don't 226 00:12:08,760 --> 00:12:11,480 Speaker 1: think that's appropriate. But like that kind of describes how 227 00:12:11,559 --> 00:12:14,920 Speaker 1: critical Grinder is to so many people, and this amazing 228 00:12:15,120 --> 00:12:17,840 Speaker 1: product that it is for that community. Now, you've gone 229 00:12:17,840 --> 00:12:20,559 Speaker 1: through one spack process with Shift, and I know you're 230 00:12:20,559 --> 00:12:22,760 Speaker 1: trying to get Grinder over the finish over the finish 231 00:12:22,800 --> 00:12:25,720 Speaker 1: line now, but how are you thinking about that given 232 00:12:26,200 --> 00:12:30,880 Speaker 1: pretty dreadful market dynamics out there and and a tough environment. Yeah, 233 00:12:31,000 --> 00:12:33,320 Speaker 1: it's I mean, spack is great in that kind of 234 00:12:33,360 --> 00:12:36,240 Speaker 1: situation because it's a guaranteed way to get the transaction 235 00:12:36,280 --> 00:12:38,920 Speaker 1: done right. You are not depending on market conditions. Um 236 00:12:39,000 --> 00:12:42,680 Speaker 1: and Grinder's partner for for the stock transaction is a 237 00:12:42,800 --> 00:12:45,240 Speaker 1: very strong stock. There's a for purchase agreement in the 238 00:12:45,280 --> 00:12:48,640 Speaker 1: transaction which insuresn't there's no need for any capital to 239 00:12:48,679 --> 00:12:51,480 Speaker 1: come into the transaction, and redemptions are not an issue. 240 00:12:51,640 --> 00:12:55,480 Speaker 1: The last many many of the most recent spects haven't 241 00:12:55,520 --> 00:12:58,680 Speaker 1: done well. That most spots have not done well, no question. 242 00:12:59,080 --> 00:13:01,800 Speaker 1: But there are about two dozen spacts in the last 243 00:13:01,840 --> 00:13:04,560 Speaker 1: twelve months are doing very well, and but they share 244 00:13:04,600 --> 00:13:07,559 Speaker 1: one trait. They're all profitable businesses. So Grinder kind of 245 00:13:07,559 --> 00:13:09,880 Speaker 1: falls into that bucket as well. It's a very profitable 246 00:13:09,920 --> 00:13:12,880 Speaker 1: business and no one is selling in this transaction, So 247 00:13:12,920 --> 00:13:15,520 Speaker 1: all the current owners of Grinder are going to roll 248 00:13:15,559 --> 00:13:18,680 Speaker 1: over and continue holding the business. UM, so we feel 249 00:13:18,679 --> 00:13:22,280 Speaker 1: pretty good about the transactions from that perspective, grind, I 250 00:13:22,320 --> 00:13:25,160 Speaker 1: mean a spost is the mechanism or getting the transaction 251 00:13:25,240 --> 00:13:27,959 Speaker 1: done so we can become a public company. I think 252 00:13:28,000 --> 00:13:29,880 Speaker 1: the outcome will be the same way that we've had 253 00:13:29,920 --> 00:13:32,360 Speaker 1: done a regular way at PO or a stock transaction. 254 00:13:32,559 --> 00:13:36,600 Speaker 1: You're one of very few openly gay CEOs, certainly as 255 00:13:36,640 --> 00:13:39,600 Speaker 1: it comes to public companies. Is there a precedent that 256 00:13:39,679 --> 00:13:42,800 Speaker 1: you want to set here or a message that you 257 00:13:42,840 --> 00:13:47,200 Speaker 1: want to send. I'm very fortunate and I think, look, 258 00:13:47,400 --> 00:13:49,640 Speaker 1: people should believe that anything is possible, right Like one 259 00:13:49,640 --> 00:13:52,640 Speaker 1: of my core values as an operator is that impossible 260 00:13:52,679 --> 00:13:54,880 Speaker 1: things are possible. And my whole life is almost an 261 00:13:54,920 --> 00:13:57,040 Speaker 1: example of that. Where I was born in the Soviet Union, 262 00:13:57,480 --> 00:13:59,480 Speaker 1: UM came to the U S as a as a 263 00:13:59,520 --> 00:14:02,480 Speaker 1: young teenager to go to prep school. Now this is 264 00:14:02,480 --> 00:14:05,720 Speaker 1: a second company. I'm going to take public incredible things 265 00:14:05,720 --> 00:14:08,720 Speaker 1: that are achievable as long as you work hard and UM. 266 00:14:08,760 --> 00:14:13,240 Speaker 1: You know, for those people who are you know, part 267 00:14:13,240 --> 00:14:16,959 Speaker 1: of the ludic community living in countries where they feel 268 00:14:16,960 --> 00:14:19,680 Speaker 1: like they're being marginalized or they can't be out, things 269 00:14:19,720 --> 00:14:22,200 Speaker 1: are going to get better. Because that's the direction that 270 00:14:22,240 --> 00:14:25,760 Speaker 1: the world is heading into kind of every day, and 271 00:14:25,800 --> 00:14:27,760 Speaker 1: we're really really fortunate to be living in a country 272 00:14:27,760 --> 00:14:30,680 Speaker 1: where we can be ourselves and not be under threat 273 00:14:30,720 --> 00:14:33,600 Speaker 1: all the time. And how are you thinking about monetization 274 00:14:34,000 --> 00:14:40,080 Speaker 1: and boosting the opportunities that Grinder has already explored. Subscriptions 275 00:14:40,080 --> 00:14:43,440 Speaker 1: and ads are of course the money makers. Yeah, we 276 00:14:43,480 --> 00:14:45,360 Speaker 1: make money in two ways. We have ads in the 277 00:14:45,360 --> 00:14:49,200 Speaker 1: product and we have subscriptions. Are percentage of users that 278 00:14:49,240 --> 00:14:52,560 Speaker 1: are paying uses is actually not that high, it's about 279 00:14:52,560 --> 00:14:56,280 Speaker 1: six percent versus you know, Bumbles at I think nine 280 00:14:56,320 --> 00:14:59,520 Speaker 1: percent and Matches at eighteen um, so we have a 281 00:14:59,560 --> 00:15:03,280 Speaker 1: huge you need to grow the paid user base. One 282 00:15:03,280 --> 00:15:04,720 Speaker 1: of the ways we're going to do that is by 283 00:15:04,720 --> 00:15:08,840 Speaker 1: building more adjacent features that people then want to pay for. 284 00:15:09,200 --> 00:15:11,880 Speaker 1: Grind has been behind in that regard. It's only recently 285 00:15:11,880 --> 00:15:15,720 Speaker 1: started to monetize its functionality and add new functionality. So 286 00:15:16,360 --> 00:15:18,600 Speaker 1: for example, we just recently launched boost, which has been 287 00:15:18,640 --> 00:15:21,560 Speaker 1: a very popular feature. Doing more things like that I 288 00:15:21,560 --> 00:15:24,560 Speaker 1: think will be really important. And then with ads, obviously 289 00:15:24,600 --> 00:15:27,600 Speaker 1: there's a huge oputy to have more relevant ads. When 290 00:15:27,640 --> 00:15:30,640 Speaker 1: we have ads that are relevant to our community, they're 291 00:15:30,680 --> 00:15:34,320 Speaker 1: actually very effective and they service the community really well, 292 00:15:34,640 --> 00:15:38,080 Speaker 1: for example with with health related ads, and so my 293 00:15:38,200 --> 00:15:40,160 Speaker 1: focus will be to ensure that the ad quality is 294 00:15:40,200 --> 00:15:43,520 Speaker 1: really good and it really enables the community use the 295 00:15:43,560 --> 00:15:45,480 Speaker 1: product in a in a good way if they don't 296 00:15:45,480 --> 00:15:49,320 Speaker 1: want to take her all right, George Harrison incoming, CEO 297 00:15:49,560 --> 00:15:52,880 Speaker 1: of Grinder, Thanks so much for stopping by. We'll keep watching. 298 00:15:53,120 --> 00:15:55,400 Speaker 1: Thank you for having me all right. Coming up, FedEx's 299 00:15:55,400 --> 00:15:59,880 Speaker 1: guidance springs doom and gloom to the markets and especially 300 00:16:00,040 --> 00:16:02,240 Speaker 1: commerce starcks. We're going to tell you more about that. 301 00:16:02,320 --> 00:16:17,720 Speaker 1: Next US is Bloomberg. One story you don't want to 302 00:16:17,760 --> 00:16:21,560 Speaker 1: miss in Bloomberg's Big Take this Thursday, about how a 303 00:16:21,760 --> 00:16:26,240 Speaker 1: Chinese spy tried to steal gees secret but got caught 304 00:16:26,240 --> 00:16:28,480 Speaker 1: by the US and gave the world an unprecedented glimpse 305 00:16:28,520 --> 00:16:31,680 Speaker 1: into China spy system. Here's how the arrest of a 306 00:16:31,800 --> 00:16:37,120 Speaker 1: burned out intelligence officer exposed an economic espionage machine. When 307 00:16:37,120 --> 00:16:40,360 Speaker 1: a Chinese spy was extradited to the US, the FBI 308 00:16:40,480 --> 00:16:44,480 Speaker 1: got his hands on a remarkable resource, his iPhone. It 309 00:16:44,600 --> 00:16:48,360 Speaker 1: shed valuable light on how Asia's largest economy steals top 310 00:16:48,400 --> 00:16:52,440 Speaker 1: secret technology. Chuian Jun was an agent of China's Minister 311 00:16:52,520 --> 00:16:54,880 Speaker 1: of State Security when he was arrested in Brussels. In 312 00:16:56,040 --> 00:16:58,520 Speaker 1: how could the FBI prove it well? On his iPhone 313 00:16:58,600 --> 00:17:01,640 Speaker 1: was an official form that listed his job as deputy 314 00:17:01,640 --> 00:17:04,440 Speaker 1: Division director at the MSS. It might as well have 315 00:17:04,520 --> 00:17:08,639 Speaker 1: said profession spy. Shoe's main job was stealing defense and 316 00:17:08,680 --> 00:17:13,360 Speaker 1: aviation innovations from firms such as General Electric. For instance, 317 00:17:13,520 --> 00:17:17,199 Speaker 1: a colleague distracted a British engineer over a banquet in Nanjing. 318 00:17:17,440 --> 00:17:20,240 Speaker 1: While she was upstairs in his hotel room copying the 319 00:17:20,240 --> 00:17:23,720 Speaker 1: content of his laptop, Shoe said he needs three hours 320 00:17:23,880 --> 00:17:29,440 Speaker 1: speeded up. Became the response between messages to seemingly extramarital lovers. 321 00:17:29,680 --> 00:17:33,320 Speaker 1: Shoe are specialists from China's top aviation companies. What sort 322 00:17:33,359 --> 00:17:36,719 Speaker 1: of intel they needed? Then set about cultivating the sources 323 00:17:36,720 --> 00:17:39,840 Speaker 1: who could provide it. One such source was a ge 324 00:17:40,040 --> 00:17:44,280 Speaker 1: engineer who would ultimately precipitate his downfall. After being rumbled 325 00:17:44,280 --> 00:17:47,880 Speaker 1: by the FBI, the engineer turned double agent and offered 326 00:17:47,920 --> 00:17:50,359 Speaker 1: to meet Sue at a cafe in Brussels. It was, 327 00:17:50,440 --> 00:17:53,600 Speaker 1: of course set up. En route to that fateful meeting, 328 00:17:53,680 --> 00:17:56,000 Speaker 1: Shoe messaged his wife that there was a USB stick 329 00:17:56,080 --> 00:17:58,400 Speaker 1: hidden at home for which should be given. The password 330 00:17:58,440 --> 00:18:01,120 Speaker 1: was something to happen to him, She responded, Oh my god, 331 00:18:01,200 --> 00:18:04,160 Speaker 1: don't scare me like this. The next day he was arrested. 332 00:18:05,080 --> 00:18:08,640 Speaker 1: He now resides in Ohio jail, facing up to sixty 333 00:18:08,720 --> 00:18:14,520 Speaker 1: years in prison. Quick takes alex web for that, and 334 00:18:14,560 --> 00:18:17,119 Speaker 1: of course you could check out the Big Take Thursday. 335 00:18:17,600 --> 00:18:20,760 Speaker 1: Here are some other stories were following. Shopify is now 336 00:18:21,000 --> 00:18:24,760 Speaker 1: changing its compensation practices to let staff decide how much 337 00:18:24,760 --> 00:18:27,679 Speaker 1: of their pay comes in cash versus equity, with the 338 00:18:27,720 --> 00:18:32,240 Speaker 1: ability to withdraw equity immediately. This is Volatility continues to 339 00:18:32,320 --> 00:18:35,680 Speaker 1: beat down shares of tech companies. The Canadian e commerce 340 00:18:35,720 --> 00:18:40,720 Speaker 1: firm saw its own share price fall this year, and 341 00:18:40,960 --> 00:18:44,600 Speaker 1: Google cloud making some changes, with plans to unfreeze hiring 342 00:18:44,640 --> 00:18:47,960 Speaker 1: by October, reversing a pause that was set back in July. 343 00:18:48,320 --> 00:18:51,320 Speaker 1: This according to Business Insider, which cited an internal memo 344 00:18:51,440 --> 00:18:55,320 Speaker 1: from Google Clouds Vice president of Technical Infrastructure Brad Calder, 345 00:18:55,760 --> 00:19:08,960 Speaker 1: saying then it must clarify its priorities. Welcome back to 346 00:19:08,960 --> 00:19:11,600 Speaker 1: Boomore Technology. I'm emily changing in San Francisco. The new 347 00:19:11,640 --> 00:19:15,679 Speaker 1: iPhone fourteen is out the latest generation of Apple's handset 348 00:19:15,960 --> 00:19:19,119 Speaker 1: in stores now in the high end pro coming in 349 00:19:19,119 --> 00:19:22,720 Speaker 1: at a thousand dollars base price. Apple isn't raising process 350 00:19:22,720 --> 00:19:25,040 Speaker 1: from last year this year, perhaps to counter the pain 351 00:19:25,080 --> 00:19:28,520 Speaker 1: of rising inflation, but still more customers pay up, are 352 00:19:28,560 --> 00:19:31,760 Speaker 1: at ludlow. Back in New York with the dates, will 353 00:19:31,840 --> 00:19:34,520 Speaker 1: they add that, yeah, I mean, this is a global 354 00:19:34,720 --> 00:19:38,040 Speaker 1: rollout of the iPhone fourteen, next generation of Apple watches. 355 00:19:38,160 --> 00:19:40,920 Speaker 1: But here in New York City, Apple CEO Tim Cook, 356 00:19:41,200 --> 00:19:43,520 Speaker 1: He's been in town, he's been on the Upper West side, 357 00:19:43,560 --> 00:19:45,520 Speaker 1: he's been on the East side, he's been on Fifth 358 00:19:45,520 --> 00:19:48,920 Speaker 1: Avenue meeting customers, and there seem to be excitement, there 359 00:19:48,920 --> 00:19:51,800 Speaker 1: seems to be demand. But the question the streets asking 360 00:19:52,080 --> 00:19:55,080 Speaker 1: will it fuel a global wave of upgrades? Will it 361 00:19:55,200 --> 00:19:58,000 Speaker 1: fuel a boost to Apple sales? Let's bring up this 362 00:19:58,040 --> 00:20:00,600 Speaker 1: pie chart, Mrs Director, because we need to contin actualize 363 00:20:00,640 --> 00:20:03,879 Speaker 1: how important the iPhone is in the context of overall sales. 364 00:20:03,920 --> 00:20:08,679 Speaker 1: It's more than right now. Apple was reserved the most 365 00:20:08,840 --> 00:20:12,960 Speaker 1: important new features, the biggest upgrades for that most expensive handset. 366 00:20:12,960 --> 00:20:14,480 Speaker 1: And you know, I've been talking all week about the 367 00:20:14,560 --> 00:20:18,280 Speaker 1: data for early orders or pre orders, which shows that 368 00:20:18,480 --> 00:20:22,280 Speaker 1: actually there is demand for that most expensive handset. The 369 00:20:22,280 --> 00:20:25,080 Speaker 1: other story we've been talking about is the evidence that 370 00:20:25,240 --> 00:20:29,560 Speaker 1: actually demand for consumer electronics is really slowing down. Now, 371 00:20:29,680 --> 00:20:32,520 Speaker 1: let's look at the numbers for iPhone sales over the 372 00:20:32,600 --> 00:20:34,359 Speaker 1: last few years. I'm just I'm going to walk all 373 00:20:34,359 --> 00:20:37,000 Speaker 1: the way over here, m and go straight to one. 374 00:20:37,080 --> 00:20:41,040 Speaker 1: That was an incredible year for Apple, right record iPhone sales. 375 00:20:41,640 --> 00:20:45,439 Speaker 1: The thing is, the early data also shows that the 376 00:20:45,520 --> 00:20:49,560 Speaker 1: demand for the highest price point handset with the nicest, 377 00:20:49,840 --> 00:20:53,800 Speaker 1: the fanciest, the most high spect features is actually outdoing 378 00:20:53,840 --> 00:20:56,520 Speaker 1: what we saw in one as well. So there's debate 379 00:20:56,560 --> 00:20:59,080 Speaker 1: about this. There's actually a guy who works at Bloomberg 380 00:20:59,080 --> 00:21:02,440 Speaker 1: Intelligence here in New York. I think you might be 381 00:21:02,480 --> 00:21:04,520 Speaker 1: about speech to him. He might not see it the 382 00:21:04,560 --> 00:21:06,640 Speaker 1: way that some of the streets sees it in terms 383 00:21:06,680 --> 00:21:09,679 Speaker 1: of this big wave of upgrades that's coming, but some 384 00:21:09,760 --> 00:21:13,760 Speaker 1: of the street does. All right, I'd love the thank you. 385 00:21:14,000 --> 00:21:16,200 Speaker 1: I want to continue this conversation with Carolyn and Milan 386 00:21:16,280 --> 00:21:19,919 Speaker 1: as of creative Strategies and our very own Bloomberg Intelligence 387 00:21:19,920 --> 00:21:25,320 Speaker 1: senior analyst on ra Grana, who covers Apple for US. UM. 388 00:21:25,560 --> 00:21:27,520 Speaker 1: Carolyn and I'll start with you, since we spoke to 389 00:21:27,720 --> 00:21:30,640 Speaker 1: last week from the Apple event we got your sort 390 00:21:30,640 --> 00:21:32,879 Speaker 1: of preview. Take there. Now that you've seen some of 391 00:21:32,920 --> 00:21:36,359 Speaker 1: this pre order data, how good does it look? It 392 00:21:36,400 --> 00:21:39,640 Speaker 1: doesn't surprise me that we see a skew of sales 393 00:21:39,720 --> 00:21:42,840 Speaker 1: towards the higher end of the portfolio. That's always the 394 00:21:42,880 --> 00:21:46,520 Speaker 1: case with pre orders. Usually the customers that pre order 395 00:21:46,640 --> 00:21:51,119 Speaker 1: our early tech early adopters higher income level, So you 396 00:21:51,280 --> 00:21:54,520 Speaker 1: always see that, and I always warrant people not to 397 00:21:54,680 --> 00:21:57,080 Speaker 1: judge the kind of a long tail of the rest 398 00:21:57,080 --> 00:22:00,760 Speaker 1: of a portfolio just by pre orders. I think what 399 00:22:00,880 --> 00:22:03,600 Speaker 1: Apple has done though this year with the pro line 400 00:22:04,240 --> 00:22:08,200 Speaker 1: is appealing to a broader audience than just the camera lovers. 401 00:22:08,280 --> 00:22:12,560 Speaker 1: So I think that Dynamic Island really is refreshing the 402 00:22:12,680 --> 00:22:16,520 Speaker 1: look and feel of that higher and family to to 403 00:22:16,680 --> 00:22:20,320 Speaker 1: appeal to a broader consumer audience. A wag. I know 404 00:22:20,359 --> 00:22:23,160 Speaker 1: Apple didn't raise the prices, but we're in a downturn. 405 00:22:23,400 --> 00:22:26,399 Speaker 1: Everybody's hurting. We're paying more for gas and groceries and 406 00:22:26,440 --> 00:22:29,120 Speaker 1: everything else. Are We're gonna upgrade our devices right now, 407 00:22:29,400 --> 00:22:32,560 Speaker 1: so you know, our our cake is that Apple runs 408 00:22:32,560 --> 00:22:34,400 Speaker 1: on about the three point six or three points seventy 409 00:22:34,440 --> 00:22:37,560 Speaker 1: year refresh cycle, So if you take the big installed base, 410 00:22:37,640 --> 00:22:39,439 Speaker 1: they have, they're gonna sell more than two in a 411 00:22:39,480 --> 00:22:42,320 Speaker 1: million units every year. It doesn't matter what year it is. 412 00:22:42,720 --> 00:22:46,280 Speaker 1: But for us, Apple, iPhone fourteen does not move the needle. 413 00:22:46,400 --> 00:22:48,359 Speaker 1: We think it's going to be the next year's model 414 00:22:48,440 --> 00:22:51,640 Speaker 1: with bigger hardware changes. But I do agree that the 415 00:22:51,680 --> 00:22:54,520 Speaker 1: Pro model is good. It has a better camera. There 416 00:22:54,520 --> 00:22:56,920 Speaker 1: will be some people who will move it. And and remember, 417 00:22:56,920 --> 00:22:59,080 Speaker 1: people who can afford to buy a thousand dollar phones, 418 00:22:59,359 --> 00:23:01,720 Speaker 1: you know, the cash prices and things don't really bother 419 00:23:01,800 --> 00:23:06,760 Speaker 1: them as much. So Carolina, what else are you watching here? 420 00:23:06,800 --> 00:23:10,879 Speaker 1: I mean, FedEx just cut its own guidance, bringing Amazon 421 00:23:11,600 --> 00:23:14,960 Speaker 1: down with it, and there are broader warnings here about 422 00:23:14,960 --> 00:23:17,879 Speaker 1: what's happening in the global economy. I think from an 423 00:23:17,880 --> 00:23:21,040 Speaker 1: Apple perspective, would be interesting if the skew to the 424 00:23:21,160 --> 00:23:25,159 Speaker 1: Pro and also the fourteen plus models is going to 425 00:23:25,320 --> 00:23:29,359 Speaker 1: impact their average selling price, so we might see a 426 00:23:29,440 --> 00:23:33,040 Speaker 1: higher selling price compared to last year before we see 427 00:23:33,040 --> 00:23:35,959 Speaker 1: a difference in volume. And then the other part is 428 00:23:36,440 --> 00:23:40,080 Speaker 1: as the early adopters kind of die off as the 429 00:23:40,160 --> 00:23:44,439 Speaker 1: cycle continues, to see how the previous models are going 430 00:23:44,480 --> 00:23:48,359 Speaker 1: to impact the overall sales and then beyond iPhone, of course, 431 00:23:48,440 --> 00:23:51,560 Speaker 1: we're all looking at Apple Watch, both at the very 432 00:23:51,560 --> 00:23:55,600 Speaker 1: low end with DSc for more people are entering the ecosystem, 433 00:23:55,880 --> 00:23:58,639 Speaker 1: and then the very high end with the ultra model 434 00:23:58,800 --> 00:24:03,120 Speaker 1: at eight hundred dollar price point. What do you read 435 00:24:03,160 --> 00:24:08,920 Speaker 1: into this sex data? They specifically called out Asia and Europe, 436 00:24:09,000 --> 00:24:12,080 Speaker 1: and of course Apple is a global company. Yeah, and 437 00:24:12,119 --> 00:24:13,600 Speaker 1: this is part of the note that you wrote a 438 00:24:13,600 --> 00:24:16,359 Speaker 1: month ago. I said, list for Apple, fort of the 439 00:24:16,359 --> 00:24:19,159 Speaker 1: sales come from Europe and China combined, and those are 440 00:24:19,160 --> 00:24:21,520 Speaker 1: the regions that are really struggling. In fact, I would 441 00:24:21,520 --> 00:24:24,280 Speaker 1: say Europe is going to have bigger issues going in 442 00:24:24,040 --> 00:24:26,879 Speaker 1: the in the near term with with fuel prices and 443 00:24:27,160 --> 00:24:29,320 Speaker 1: energy prices going up, so which is one of the 444 00:24:29,400 --> 00:24:31,960 Speaker 1: reasons we said that you over here, we don't see 445 00:24:32,000 --> 00:24:34,760 Speaker 1: iphold sales growing more than one to two percent. Now 446 00:24:34,800 --> 00:24:36,560 Speaker 1: for a lot of people, that may be bad things, 447 00:24:36,560 --> 00:24:38,679 Speaker 1: but in all, honestly, it's not bad at all. In 448 00:24:38,720 --> 00:24:41,080 Speaker 1: a downward market, you know you're not going to see 449 00:24:41,119 --> 00:24:44,400 Speaker 1: negative sales that compared to last year. So all in all, 450 00:24:44,480 --> 00:24:47,280 Speaker 1: I think it's a it's a good cycle, I mean, 451 00:24:47,359 --> 00:24:49,399 Speaker 1: but not as strong as next year. Next year, we 452 00:24:49,400 --> 00:24:52,000 Speaker 1: think it's going to be a much much bigger refresh 453 00:24:52,080 --> 00:24:55,640 Speaker 1: for the iPhone. Now, as far as the watch is concerned, 454 00:24:55,680 --> 00:24:57,680 Speaker 1: it's a beautiful watch. They hunt it. All of watch 455 00:24:57,680 --> 00:25:00,600 Speaker 1: is amazing. But fact be speaking, there was thinks really 456 00:25:00,600 --> 00:25:03,240 Speaker 1: don't move the financial need of Apple. Callin and does 457 00:25:03,240 --> 00:25:06,800 Speaker 1: that jive with your projections? It does. I think that 458 00:25:06,920 --> 00:25:10,800 Speaker 1: next year, for sure, the upgrade cycle will be higher, 459 00:25:10,880 --> 00:25:13,399 Speaker 1: not just because of a hardware, but there's there's going 460 00:25:13,480 --> 00:25:16,920 Speaker 1: to be a step forward in the processing powers well. 461 00:25:17,080 --> 00:25:20,040 Speaker 1: So I think that that, especially for the markets that 462 00:25:20,160 --> 00:25:23,359 Speaker 1: seem to be struggling more this year from a financial perspective, 463 00:25:23,400 --> 00:25:25,720 Speaker 1: chine in particularly that pays a lot of attention to 464 00:25:25,960 --> 00:25:28,359 Speaker 1: the inside of the device, not just the look and 465 00:25:28,400 --> 00:25:30,960 Speaker 1: feel of the outside, That will matter a lot. M 466 00:25:31,400 --> 00:25:34,679 Speaker 1: and I tend to agree that generally, you know, while 467 00:25:34,920 --> 00:25:38,280 Speaker 1: the sales of the other products don't make a huge 468 00:25:38,320 --> 00:25:41,639 Speaker 1: difference to the bottom line from a from a revenue perspective, 469 00:25:41,760 --> 00:25:44,840 Speaker 1: it does tie in more of the customers, which longer 470 00:25:45,000 --> 00:25:48,600 Speaker 1: term is what Apple will benefit from and more loyal, 471 00:25:48,920 --> 00:25:52,959 Speaker 1: more unified user base. All right, obviously, so much to 472 00:25:53,040 --> 00:25:55,879 Speaker 1: continue to follow when it comes to Apple utterag. I 473 00:25:55,880 --> 00:25:58,439 Speaker 1: do want to ask you about another story we've been following. 474 00:25:58,480 --> 00:26:01,920 Speaker 1: You've got a new note out on this, Adobe buying 475 00:26:02,119 --> 00:26:05,679 Speaker 1: Figma for twenty billion dollars. Of course, Figma was a 476 00:26:05,840 --> 00:26:09,120 Speaker 1: you know, pretty big competitive threat to Adobe. I wonder 477 00:26:09,160 --> 00:26:12,159 Speaker 1: if this is kind of an admission of defeat a 478 00:26:12,200 --> 00:26:17,600 Speaker 1: bit either way. That is a huge, huge number. Is 479 00:26:17,640 --> 00:26:20,920 Speaker 1: this a smart deal? So one of the things we said, 480 00:26:21,000 --> 00:26:23,640 Speaker 1: you know, technology was it may be a smart deal, 481 00:26:23,680 --> 00:26:25,399 Speaker 1: but I think this is the wrong time to do it. 482 00:26:25,840 --> 00:26:29,520 Speaker 1: We know, software valuations have created since last November. And 483 00:26:29,600 --> 00:26:31,880 Speaker 1: for a company that was valued at ten billion last 484 00:26:31,920 --> 00:26:35,040 Speaker 1: summer to buy them for twenty billion, I mean, nobody's 485 00:26:35,119 --> 00:26:37,640 Speaker 1: liking get the I think they've lost what thirty five 486 00:26:37,680 --> 00:26:40,600 Speaker 1: billion in market gap right now for a company that's 487 00:26:40,600 --> 00:26:43,480 Speaker 1: going to generate about four million in revenue for next year. 488 00:26:43,560 --> 00:26:46,480 Speaker 1: So I think they really need to think hard and long. 489 00:26:46,560 --> 00:26:49,200 Speaker 1: That investors have clearly made a point that they are 490 00:26:49,240 --> 00:26:52,959 Speaker 1: looking for margin expansion, you know, profit growth, even if 491 00:26:52,960 --> 00:26:55,280 Speaker 1: it grows slows down a little bit so much. And factually, 492 00:26:55,280 --> 00:26:57,840 Speaker 1: you know, in our view, Adobe is such a widely 493 00:26:58,000 --> 00:27:01,720 Speaker 1: diversified company with an installed it's very large of you know, 494 00:27:01,760 --> 00:27:04,639 Speaker 1: creative products, and if in one idea of the product 495 00:27:04,720 --> 00:27:07,600 Speaker 1: is getting competition. It's not a big deal to me, frankly, 496 00:27:07,920 --> 00:27:10,959 Speaker 1: all right on a Ronald Bloomberg intelligence along with Caroline 497 00:27:10,960 --> 00:27:16,119 Speaker 1: and Milan Aisy principle analyst at Creative Strategies, Thank you both, 498 00:27:16,600 --> 00:27:19,960 Speaker 1: Um all stuff we're gonna continue to follow well. It 499 00:27:20,080 --> 00:27:23,520 Speaker 1: is potentially a worrying sign for the global economy. FedEx 500 00:27:23,560 --> 00:27:27,480 Speaker 1: has withdrawn it's earnings forecast due to worsening business conditions. 501 00:27:27,520 --> 00:27:30,800 Speaker 1: As we mentioned earlier the package delivery giant, pointing to 502 00:27:30,880 --> 00:27:35,440 Speaker 1: weakness in Asia and challenges in Europe. FedEx taking immediate 503 00:27:35,520 --> 00:27:40,320 Speaker 1: steps to cut costs, including parking some aircraft, cutting workers hours, 504 00:27:40,400 --> 00:27:46,840 Speaker 1: and closing more than nine FedEx office locations coming up 505 00:27:47,000 --> 00:27:49,560 Speaker 1: as we enter a post etherory emerged world, what happens 506 00:27:49,600 --> 00:27:52,800 Speaker 1: next and what's a long term view we'll talk about that. 507 00:27:53,160 --> 00:28:13,280 Speaker 1: This is Bloomberg with the merge now complete, Let's take 508 00:28:13,320 --> 00:28:16,960 Speaker 1: a look at how significant this successful update was for 509 00:28:17,000 --> 00:28:20,240 Speaker 1: the community and what comes next. Joe Loud, co founder 510 00:28:20,240 --> 00:28:23,080 Speaker 1: of Alchemy, a web three development platform to build and 511 00:28:23,200 --> 00:28:26,800 Speaker 1: scale decentralized apps, is with us now. Joe, thank you 512 00:28:26,840 --> 00:28:30,040 Speaker 1: for joining us. So it seems like everything went according 513 00:28:30,080 --> 00:28:32,439 Speaker 1: to plan. What are your key takeaways? Aside from some 514 00:28:33,040 --> 00:28:38,120 Speaker 1: pretty funny pandamimes. Hi, Emily, thanks for having me today, 515 00:28:38,280 --> 00:28:40,200 Speaker 1: and yeah, the merge happened a couple of nights ago. 516 00:28:40,600 --> 00:28:43,120 Speaker 1: Happened at midnight. Our entire team stayed up to watch it, 517 00:28:43,200 --> 00:28:45,960 Speaker 1: as did a lot of the Ethereum community. I think 518 00:28:46,000 --> 00:28:49,680 Speaker 1: the biggest takeaway was this was a monumental effort. It's 519 00:28:49,720 --> 00:28:53,000 Speaker 1: part of a year's long road map UM many years long, 520 00:28:53,080 --> 00:28:57,680 Speaker 1: multi year long road map by hundreds of hundreds of stakeholders, 521 00:28:57,720 --> 00:29:01,640 Speaker 1: and there's not one single centralized decision maker or anything 522 00:29:01,680 --> 00:29:03,560 Speaker 1: like that. So the fact that it all came together 523 00:29:03,680 --> 00:29:07,240 Speaker 1: as it did, UH super smoothly is incredible. I think 524 00:29:07,480 --> 00:29:10,560 Speaker 1: I would like in the merge to uh to swapping 525 00:29:10,560 --> 00:29:13,000 Speaker 1: out the engine of a plane that's already in the air. 526 00:29:13,040 --> 00:29:16,160 Speaker 1: So you have the Ethereum blockchain. It's a multi hundred 527 00:29:16,200 --> 00:29:19,080 Speaker 1: billion dollar ecosystem UM and the fact that they're able 528 00:29:19,120 --> 00:29:21,600 Speaker 1: to keep it live, keep it working, and swap out 529 00:29:21,640 --> 00:29:25,440 Speaker 1: essentially one piece of the core and have have no 530 00:29:25,520 --> 00:29:29,880 Speaker 1: hiccups is incredible. What does this actually mean for Alchemy's ecosystem, 531 00:29:30,280 --> 00:29:33,120 Speaker 1: that's a great question. So Alchemy, for those that don't know, 532 00:29:33,600 --> 00:29:36,720 Speaker 1: UM is a blockchain developer platform. What that means you 533 00:29:36,720 --> 00:29:38,960 Speaker 1: can think of us as the Amazon Web Services for 534 00:29:39,040 --> 00:29:41,480 Speaker 1: blockchain and web three. What it means is we help 535 00:29:41,520 --> 00:29:45,520 Speaker 1: developers and companies build applications much better by providing them 536 00:29:45,560 --> 00:29:48,240 Speaker 1: a developer platform to build on top load. So we 537 00:29:48,280 --> 00:29:51,960 Speaker 1: started the company about five years ago. Five years ago, 538 00:29:52,040 --> 00:29:54,960 Speaker 1: we've grown extremely rapidly in just the last few years. 539 00:29:55,160 --> 00:29:57,720 Speaker 1: Today we power about a hundred and fifty billion dollars 540 00:29:57,720 --> 00:30:01,400 Speaker 1: in transaction volume UM, a big chunk of the top 541 00:30:01,440 --> 00:30:05,240 Speaker 1: ethereum um, the top companies in blockchain and Ethereum and 542 00:30:05,280 --> 00:30:08,000 Speaker 1: blockchain in general. UH. And we also work with a 543 00:30:08,040 --> 00:30:11,000 Speaker 1: lot of the biggest companies that are moving into the 544 00:30:11,000 --> 00:30:14,480 Speaker 1: blockchain and web through space today like Meta, Adobe, Shopify, 545 00:30:14,640 --> 00:30:17,760 Speaker 1: and Stripe. What the merge means for Alchemy, So we're 546 00:30:17,760 --> 00:30:20,800 Speaker 1: a developer platform. Our goal is to make sure developers 547 00:30:20,800 --> 00:30:23,880 Speaker 1: always have access to the infrastructure that they need to 548 00:30:23,960 --> 00:30:28,040 Speaker 1: build applications that they need. The merge basically upgraded Ethereum. 549 00:30:28,480 --> 00:30:32,800 Speaker 1: Upgrade Ethereum to um to basically allow to allow the 550 00:30:32,800 --> 00:30:35,840 Speaker 1: etheroreum to allow the network to run on proof of 551 00:30:35,880 --> 00:30:38,560 Speaker 1: stake instead of proof of work. For us, it means 552 00:30:38,600 --> 00:30:42,160 Speaker 1: making sure our services are always up so that developers 553 00:30:42,160 --> 00:30:44,440 Speaker 1: can have access to them, and that's exactly what we did. 554 00:30:44,600 --> 00:30:47,240 Speaker 1: So of course we've been talking about the merge for 555 00:30:47,520 --> 00:30:51,200 Speaker 1: years and now it's finally happened. What is the cryptome 556 00:30:51,240 --> 00:30:56,040 Speaker 1: blockchain community buzzing about now what's next? So the merge 557 00:30:56,120 --> 00:30:59,160 Speaker 1: is just the first step and again in multi years 558 00:30:59,200 --> 00:31:02,400 Speaker 1: long road map, UH, this first piece was about moving 559 00:31:02,440 --> 00:31:05,520 Speaker 1: from proof for work, which uses energy, to proof of steak, 560 00:31:05,760 --> 00:31:09,120 Speaker 1: which allows which allows users to stake their tokens on 561 00:31:09,160 --> 00:31:11,400 Speaker 1: the network the value itself on the network. So that's 562 00:31:11,400 --> 00:31:15,760 Speaker 1: a something like a ninety nine and nine reduction UH 563 00:31:15,800 --> 00:31:18,800 Speaker 1: in energy users, for the blockchain, for the theory of blockchain, 564 00:31:18,840 --> 00:31:21,560 Speaker 1: which is incredible. UM. What's next is going to be 565 00:31:21,600 --> 00:31:24,640 Speaker 1: a lot of investments into scaling. So there's been a 566 00:31:24,680 --> 00:31:28,240 Speaker 1: lot of excitement. So Intherium as a network is UM 567 00:31:28,280 --> 00:31:30,640 Speaker 1: it's just it's you know, just getting started. It's gonna 568 00:31:30,680 --> 00:31:32,840 Speaker 1: get a lot faster, it's gonna get a lot cheaper, 569 00:31:32,920 --> 00:31:35,440 Speaker 1: and that's where a lot of the focus is going forward. 570 00:31:35,680 --> 00:31:38,440 Speaker 1: The merge was the first step to unlocking the ability 571 00:31:38,480 --> 00:31:40,680 Speaker 1: to perform some of these other technical upgrades in the 572 00:31:40,720 --> 00:31:43,600 Speaker 1: future that make Ethereum faster and cheaper, and so those 573 00:31:43,640 --> 00:31:45,680 Speaker 1: are going to be the areas of focus next well, 574 00:31:45,720 --> 00:31:48,120 Speaker 1: and it needs to get faster and cheaper in order 575 00:31:48,240 --> 00:31:52,400 Speaker 1: for you know, apps, killer apps, if you will, to 576 00:31:52,520 --> 00:31:55,720 Speaker 1: have that killer impact. But I still hear people say 577 00:31:55,760 --> 00:31:58,560 Speaker 1: that killer app for crypto hasn't been made yet. What 578 00:31:58,600 --> 00:32:01,680 Speaker 1: do you think that is? That's a that's a really 579 00:32:01,680 --> 00:32:04,160 Speaker 1: great question, Emily Um, and that's something that everyone in 580 00:32:04,160 --> 00:32:06,960 Speaker 1: this space is always working towards. I think the thing 581 00:32:07,040 --> 00:32:11,800 Speaker 1: that's really interesting is all technologies start out slow, inefficient 582 00:32:11,960 --> 00:32:14,520 Speaker 1: and expensive. If you look at the Internet back in 583 00:32:14,560 --> 00:32:17,320 Speaker 1: the nineties, when we're using Dala, you couldn't even load 584 00:32:17,360 --> 00:32:19,360 Speaker 1: a picture. The picture of like load over a couple 585 00:32:19,360 --> 00:32:21,760 Speaker 1: of minutes, right in pieces on a screen. But you 586 00:32:21,840 --> 00:32:24,360 Speaker 1: fast forward to today and not only do we have pictures, 587 00:32:24,640 --> 00:32:27,720 Speaker 1: we have video, we have YouTube, we have TikTok. Something 588 00:32:27,760 --> 00:32:29,880 Speaker 1: like this, you and me talking on a live stream 589 00:32:29,920 --> 00:32:33,840 Speaker 1: would be unimaginable if you zoom back, and so I 590 00:32:33,880 --> 00:32:36,680 Speaker 1: would look at ethereum and more widely the web three 591 00:32:36,720 --> 00:32:40,360 Speaker 1: blockching ecosystem with the same lens. It's just an early space. 592 00:32:40,560 --> 00:32:42,800 Speaker 1: It's getting started. But what's gonna happen is you have 593 00:32:42,880 --> 00:32:45,680 Speaker 1: upgrades like the merge, which makes the technology better. We 594 00:32:45,760 --> 00:32:48,920 Speaker 1: have more developers build more applications, That in term drives 595 00:32:48,960 --> 00:32:51,680 Speaker 1: more investment into making the technology even better, and so 596 00:32:51,840 --> 00:32:54,040 Speaker 1: on and so forth, and you get better and better 597 00:32:54,080 --> 00:32:58,000 Speaker 1: and better applications, and eventually killer application emerges. We're already 598 00:32:58,000 --> 00:33:01,320 Speaker 1: seeing a lot of excitement around not just docurrencies stores 599 00:33:01,320 --> 00:33:05,120 Speaker 1: of value, but also gaming and creator monetization and things 600 00:33:05,160 --> 00:33:07,400 Speaker 1: like that. And I think that's just the beginning. Alchemy 601 00:33:07,440 --> 00:33:11,160 Speaker 1: has its own vcar and grants program, and I'm curious 602 00:33:11,200 --> 00:33:13,240 Speaker 1: what kind of projects you're backing right now. How the 603 00:33:13,280 --> 00:33:18,960 Speaker 1: macro environment, a dreadful market situation is impacting your decision decisions, 604 00:33:18,960 --> 00:33:22,600 Speaker 1: and whether valuations are they coming down That's a great question. 605 00:33:22,640 --> 00:33:24,719 Speaker 1: So I think there are valuations in the market, and 606 00:33:24,720 --> 00:33:27,560 Speaker 1: that obviously has changed over the lass six months. The 607 00:33:27,640 --> 00:33:30,719 Speaker 1: really exciting thing about our ecosystem is developers have not 608 00:33:30,800 --> 00:33:33,400 Speaker 1: stopped building. And the thing that's important to something like 609 00:33:33,720 --> 00:33:37,080 Speaker 1: the blockchain. If your ecosystem is as long as developers 610 00:33:37,080 --> 00:33:39,640 Speaker 1: are building, new applications will come out that will bring 611 00:33:39,640 --> 00:33:42,480 Speaker 1: in more users, It will bring in more developers the 612 00:33:42,760 --> 00:33:45,440 Speaker 1: UH and the ecosystem, and the technology gets better. So 613 00:33:45,880 --> 00:33:49,000 Speaker 1: our ventures are mas seen actually a tremendous amount of growth. 614 00:33:49,000 --> 00:33:52,240 Speaker 1: It's I think we're seeing three quarter over quarter growth 615 00:33:52,240 --> 00:33:54,720 Speaker 1: in terms of fuel velocity. We're seeing more and more 616 00:33:54,720 --> 00:33:59,040 Speaker 1: people coming from traditional technology and other other other industries 617 00:33:59,080 --> 00:34:01,800 Speaker 1: into the space to work on brand new things. UM, 618 00:34:01,840 --> 00:34:04,400 Speaker 1: and it's been very very exciting. We're also we also 619 00:34:04,440 --> 00:34:07,200 Speaker 1: have educational properties that are aimed at bringing people into 620 00:34:07,200 --> 00:34:09,919 Speaker 1: the space and teaching them how to develop in Web 621 00:34:09,960 --> 00:34:12,040 Speaker 1: three for free, and we're seeing lots of growth there. 622 00:34:12,120 --> 00:34:14,279 Speaker 1: So all across the board, I think it's been a 623 00:34:14,360 --> 00:34:18,000 Speaker 1: very very positive outlook. Um, we're actually out of time, Joe, 624 00:34:18,160 --> 00:34:22,439 Speaker 1: but I so appreciate your very thoughtful insights there. We'll 625 00:34:22,560 --> 00:34:25,040 Speaker 1: we'll have to do this again, um as the market 626 00:34:25,040 --> 00:34:28,319 Speaker 1: continues to evolve. Alchemy co founder Joe Lau, thank you 627 00:34:28,440 --> 00:34:41,760 Speaker 1: so much for stopping by. Disney has pulled the upcoming 628 00:34:41,800 --> 00:34:45,520 Speaker 1: Star Wars film Rogue Squadron from its release calendar, a 629 00:34:45,560 --> 00:34:48,800 Speaker 1: disappointment for theaters still trying to recover from the pandemic. 630 00:34:48,880 --> 00:34:52,080 Speaker 1: Joining us Now Bloomberg's Chris Paul Mary So, Chris sounds 631 00:34:52,080 --> 00:34:54,000 Speaker 1: like they're still going to make the film, but it's 632 00:34:54,040 --> 00:34:57,439 Speaker 1: not coming out next year. Right, that's right, And it's 633 00:34:57,480 --> 00:34:59,640 Speaker 1: your reflection of a lot of things going on the 634 00:34:59,719 --> 00:35:02,440 Speaker 1: movie business. One of them is, of course, the pandemic. 635 00:35:02,520 --> 00:35:05,440 Speaker 1: It's hard to get things up and running again. And 636 00:35:05,440 --> 00:35:08,520 Speaker 1: and you've got a director in this movie, Patty Jenkins, 637 00:35:08,560 --> 00:35:11,759 Speaker 1: who's uh done the Wonder Woman films. She's working on 638 00:35:11,800 --> 00:35:14,600 Speaker 1: a third one of those that's also not started production yet. 639 00:35:14,840 --> 00:35:18,440 Speaker 1: So scheduling something of this magnitude is difficult. Of course, 640 00:35:18,520 --> 00:35:20,560 Speaker 1: this is Star Wars and you want to get it right. 641 00:35:21,520 --> 00:35:24,160 Speaker 1: You broke the news three years ago in an interview 642 00:35:24,200 --> 00:35:26,879 Speaker 1: with them CEO Bob Igers, and uh, you know, there 643 00:35:26,880 --> 00:35:29,319 Speaker 1: were some disappointment when when they rushed out a lot 644 00:35:29,360 --> 00:35:33,160 Speaker 1: of Star Wars films initially and they put the films 645 00:35:33,200 --> 00:35:36,600 Speaker 1: on a hiatus. That the last one was in two 646 00:35:36,600 --> 00:35:39,560 Speaker 1: thousand nineteen, and so there's a lot of pressure to 647 00:35:39,560 --> 00:35:41,720 Speaker 1: make sure that they get this right. But I'm told 648 00:35:41,760 --> 00:35:44,160 Speaker 1: that this film is still in development, as are some 649 00:35:44,280 --> 00:35:47,920 Speaker 1: other Star Wars films. All right, Um, not good for 650 00:35:48,040 --> 00:35:52,880 Speaker 1: theaters though, I mean, were they really counting on this one? Yeah, 651 00:35:52,920 --> 00:35:55,160 Speaker 1: I mean you can even a bad Star Wars films, 652 00:35:56,239 --> 00:35:59,680 Speaker 1: there's a lot of money, a billion dollar box office. Um, 653 00:35:59,719 --> 00:36:02,640 Speaker 1: it's uh, you know, it's a story we keep hearing. 654 00:36:03,040 --> 00:36:05,759 Speaker 1: Theaters are coming back, theaters are coming back. Reality is, 655 00:36:05,800 --> 00:36:07,719 Speaker 1: the industry is probably to do eight and a half 656 00:36:07,760 --> 00:36:10,520 Speaker 1: billion dollars this year. The Pink a few years ago 657 00:36:10,640 --> 00:36:14,879 Speaker 1: was over eleven billions. So it's it's still it's still 658 00:36:14,920 --> 00:36:16,520 Speaker 1: far from where it was. You know, you had some 659 00:36:16,560 --> 00:36:19,880 Speaker 1: big movies this year. Top Gun obviously was huge, But 660 00:36:19,960 --> 00:36:22,640 Speaker 1: they're really counting on these big tentpoles as they're as 661 00:36:22,680 --> 00:36:25,120 Speaker 1: they're called to to drive people to theaters, and Star 662 00:36:25,160 --> 00:36:30,040 Speaker 1: Wars is certainly one of them. Well, it's in keeping 663 00:36:30,120 --> 00:36:34,560 Speaker 1: with the story that you just wrote called the bad 664 00:36:34,600 --> 00:36:37,560 Speaker 1: news in Hollywood is arriving almost daily. At least that's 665 00:36:37,560 --> 00:36:42,439 Speaker 1: the opening line. So what other bad news are we hearing? Well, 666 00:36:42,480 --> 00:36:45,200 Speaker 1: you know, there's been this whole rethinking of the streaming 667 00:36:45,239 --> 00:36:48,440 Speaker 1: business for years. Everyone was following the sort of Netflix 668 00:36:48,520 --> 00:36:51,920 Speaker 1: model of it's all about signing up subscribers, spending a 669 00:36:51,960 --> 00:36:55,080 Speaker 1: ton of money on movies and TV shows and you know, 670 00:36:55,160 --> 00:36:58,799 Speaker 1: the business will revenue and profits will follow. That all 671 00:36:58,840 --> 00:37:01,640 Speaker 1: got reset of this year. Netflix, Uh, you know, as 672 00:37:01,719 --> 00:37:05,560 Speaker 1: we've reported as a low subscribers and so all of 673 00:37:05,600 --> 00:37:09,320 Speaker 1: the stocks in the entertainment business have collapsed. Uh, and 674 00:37:09,480 --> 00:37:11,880 Speaker 1: everyone's now focused on what are we gonna make money 675 00:37:11,960 --> 00:37:14,640 Speaker 1: off of our street business? Many of them are losing 676 00:37:14,680 --> 00:37:18,120 Speaker 1: billions of dollars and so we've seen, you know, particularly 677 00:37:18,120 --> 00:37:20,600 Speaker 1: in Netflix and Warner Brothers, which just did a big 678 00:37:20,640 --> 00:37:26,279 Speaker 1: merger with Discovery, big cutbacks and staffing, the canceling projects. 679 00:37:26,640 --> 00:37:31,520 Speaker 1: Everyone's dialing back, uh you know, the budgets for TV series. Uh, 680 00:37:31,560 --> 00:37:34,160 Speaker 1: and things are just sort of languishing as everyone sort 681 00:37:34,160 --> 00:37:36,360 Speaker 1: of weights to see how this all plays out on 682 00:37:36,400 --> 00:37:44,160 Speaker 1: Wall Street. Um. Well, on that uplifting note, what are 683 00:37:44,160 --> 00:37:48,600 Speaker 1: you watching this weekend? But well to pivot back to 684 00:37:48,640 --> 00:37:51,560 Speaker 1: Star Wars even though the and I this, you know, 685 00:37:51,880 --> 00:37:54,200 Speaker 1: their fourth one of the TV series is coming out 686 00:37:54,280 --> 00:37:58,359 Speaker 1: next weekend or uh and so far looks pretty good. 687 00:37:58,440 --> 00:38:02,240 Speaker 1: And gosh, I am really in the Drones House of Dragon. 688 00:38:02,280 --> 00:38:07,239 Speaker 1: It's terrific. Okay, I'm liking House of Dragons too. I'm 689 00:38:07,239 --> 00:38:10,160 Speaker 1: excited for Sunday, Chris, Paul Mary always good to have you, 690 00:38:10,719 --> 00:38:14,160 Speaker 1: um and happy Friday. Everyone to have a wonderful weekend. Uh. 691 00:38:14,560 --> 00:38:17,399 Speaker 1: That does it for this edition of Bloomberg Technology. I'm 692 00:38:17,400 --> 00:38:19,880 Speaker 1: Emily Drag in San Francisco. This is Bloomberg,