1 00:00:02,160 --> 00:00:05,520 Speaker 1: From the heart of where innovation, money and power Collie 2 00:00:06,280 --> 00:00:10,799 Speaker 1: in Silicon Valley and beyond. This is Bloomberg Technology with 3 00:00:10,880 --> 00:00:29,920 Speaker 1: Emily Jay I'm Emily changing San Francisco and this is 4 00:00:29,920 --> 00:00:32,800 Speaker 1: Bloomberg Technology. Coming up in the next hour. Twitter starts 5 00:00:32,840 --> 00:00:37,880 Speaker 1: to ban people who impersonate others, musque saying to vote Republican, 6 00:00:38,159 --> 00:00:40,720 Speaker 1: and some of the employees laid off last week, while 7 00:00:41,040 --> 00:00:43,519 Speaker 1: some are being asked to come back to the office. Plus, 8 00:00:43,920 --> 00:00:48,200 Speaker 1: China's COVID policies are undermining Apple's plans, are bloomberg scoop 9 00:00:48,200 --> 00:00:51,920 Speaker 1: on the plan to cut iPhone production by millions of units? 10 00:00:52,280 --> 00:00:55,880 Speaker 1: And SEC Commissioner Brendan Carr thinks the US government should 11 00:00:55,880 --> 00:00:58,840 Speaker 1: ban TikTok? Why and how far will he go to 12 00:00:58,880 --> 00:01:02,360 Speaker 1: make it happen. He'll join us to explain Twitter asking 13 00:01:02,520 --> 00:01:05,000 Speaker 1: some laid off employees to come back and beginning to 14 00:01:05,040 --> 00:01:09,480 Speaker 1: permanently banned users who impersonate real people. Meantime, as had said, 15 00:01:09,560 --> 00:01:13,119 Speaker 1: Meta reportedly cutting thousands of jobs as soon as this week. 16 00:01:13,240 --> 00:01:16,160 Speaker 1: Bloomberg's Kurt Wagner joins us to talk about this more. 17 00:01:16,200 --> 00:01:18,360 Speaker 1: And Kurt, of course, you've been very busy covering both 18 00:01:18,400 --> 00:01:21,039 Speaker 1: Meta and Twitter let's start with Meta and get that 19 00:01:21,080 --> 00:01:23,360 Speaker 1: out of the way. Is Meta planning to lay off 20 00:01:23,400 --> 00:01:25,520 Speaker 1: thousands of people this week? What do we know? Yeah, 21 00:01:25,600 --> 00:01:28,280 Speaker 1: I mean, the company is obviously not confirming anything, but 22 00:01:28,400 --> 00:01:31,160 Speaker 1: you know, pointing people to what Mark Zuckerberg has said 23 00:01:31,160 --> 00:01:34,240 Speaker 1: previously on earnience calls, which is that they are planning 24 00:01:34,280 --> 00:01:36,720 Speaker 1: for cuts, right, and that this is something that he's 25 00:01:36,720 --> 00:01:39,720 Speaker 1: also told employees that in all hands meeting just a 26 00:01:39,760 --> 00:01:41,920 Speaker 1: few months ago, is that the company is going to 27 00:01:42,000 --> 00:01:44,840 Speaker 1: look a lot smaller at the end of three than 28 00:01:44,880 --> 00:01:47,840 Speaker 1: it is, you know right now in two right, So 29 00:01:48,120 --> 00:01:50,560 Speaker 1: all of those things seem to suggest that that something 30 00:01:50,640 --> 00:01:53,600 Speaker 1: like this is coming. Obviously, I think they could probably 31 00:01:54,000 --> 00:01:56,520 Speaker 1: learn a thing or two from what happened at Twitter 32 00:01:56,840 --> 00:01:58,800 Speaker 1: over the past week in terms of how not to 33 00:01:58,880 --> 00:02:01,600 Speaker 1: handle a situation like this with employees and and and 34 00:02:01,640 --> 00:02:04,600 Speaker 1: all the information um that has shared. I imagine Metal 35 00:02:04,600 --> 00:02:07,240 Speaker 1: will probably be a little bit more structured in whatever 36 00:02:07,240 --> 00:02:10,000 Speaker 1: they ultimately end up doing. But it does feel like 37 00:02:10,040 --> 00:02:13,720 Speaker 1: something like this is probably uh coming very soon. So 38 00:02:13,800 --> 00:02:17,000 Speaker 1: let's talk about what is actually happening. Then. At Twitter, 39 00:02:17,120 --> 00:02:19,440 Speaker 1: you of course reported that more than thirty seven hundred 40 00:02:19,440 --> 00:02:22,760 Speaker 1: people would be lay up laid off. Has that happened? 41 00:02:22,840 --> 00:02:25,600 Speaker 1: Have all of those people been told? And is Elon 42 00:02:25,680 --> 00:02:28,640 Speaker 1: Musk really trying to get some of those people back? 43 00:02:28,680 --> 00:02:31,639 Speaker 1: And if so, how many? Yeah, So, the there were 44 00:02:31,800 --> 00:02:35,399 Speaker 1: massive layoffs that started kind of Thursday night of last week. 45 00:02:35,440 --> 00:02:38,880 Speaker 1: Employees started losing access to their internal systems like email 46 00:02:38,880 --> 00:02:41,520 Speaker 1: and Slack and things like that. And on Friday, we 47 00:02:41,720 --> 00:02:44,840 Speaker 1: you know, saw the bulk of the layoffs happen. Um, 48 00:02:44,880 --> 00:02:47,760 Speaker 1: I believe the internal kind of employee. They tracked the 49 00:02:47,840 --> 00:02:50,280 Speaker 1: number of employees at the company internally, and there's a 50 00:02:50,680 --> 00:02:55,359 Speaker 1: it's around thirty seven hundred, thirty eight hundred employees right now, um, 51 00:02:55,480 --> 00:02:58,639 Speaker 1: which was down from about seventy hundred at the beginning 52 00:02:58,639 --> 00:03:01,000 Speaker 1: of the year. Right, So, so thousands of people have 53 00:03:01,120 --> 00:03:03,880 Speaker 1: been cut in just the last couple of days. And 54 00:03:03,919 --> 00:03:06,440 Speaker 1: as you mentioned, Emily, yes, you know, when you do 55 00:03:06,520 --> 00:03:10,120 Speaker 1: something so drastic so quickly, Uh, there were mistakes that 56 00:03:10,120 --> 00:03:11,960 Speaker 1: were made. There were some employees who were laid off 57 00:03:12,000 --> 00:03:13,920 Speaker 1: who were done so accidentally. There were some who are 58 00:03:13,960 --> 00:03:16,600 Speaker 1: laid off that the company then realized, oh boy, we 59 00:03:16,639 --> 00:03:19,040 Speaker 1: actually need them, we need their expertise in the building. 60 00:03:19,320 --> 00:03:22,200 Speaker 1: And so we're told that you know, dozens of employees 61 00:03:22,600 --> 00:03:25,560 Speaker 1: were approached over the weekend and even heading into today 62 00:03:25,600 --> 00:03:28,959 Speaker 1: about returning. I don't know of anyone who's actually accepted 63 00:03:29,000 --> 00:03:30,920 Speaker 1: that offer. I think it's going to be a tough sell, 64 00:03:31,360 --> 00:03:34,120 Speaker 1: um to convince someone who you know, was just fired 65 00:03:34,160 --> 00:03:36,960 Speaker 1: to essentially go back to the company that just fired them, 66 00:03:36,960 --> 00:03:39,440 Speaker 1: even if it was a mistake. Meantime, Musk has said 67 00:03:39,440 --> 00:03:43,760 Speaker 1: there'll be an independent board focused on content moderation, but 68 00:03:43,800 --> 00:03:47,040 Speaker 1: it looks like some users are already being banned um 69 00:03:47,120 --> 00:03:50,480 Speaker 1: for impersonating real people. Party accounts, as you know, have 70 00:03:50,600 --> 00:03:54,120 Speaker 1: been quite popular on Twitter for many many years. Talk 71 00:03:54,200 --> 00:03:56,760 Speaker 1: to us about what's happening here. Yeah, not just impersonating 72 00:03:56,800 --> 00:03:59,720 Speaker 1: real people, but impersonating Elon Musk, Right, That seems to 73 00:03:59,760 --> 00:04:03,080 Speaker 1: be the line that a lot of people are crossing. 74 00:04:03,240 --> 00:04:06,320 Speaker 1: But what's interesting here is, you know, Ellen, when he 75 00:04:06,440 --> 00:04:08,880 Speaker 1: was talking about buying this company, he said he didn't 76 00:04:08,880 --> 00:04:11,320 Speaker 1: believe in lifetime bands, right, that was sort of part 77 00:04:11,360 --> 00:04:13,240 Speaker 1: of his thing. He was like, when I get in, 78 00:04:13,280 --> 00:04:15,840 Speaker 1: I'm gonna I'm gonna remove these things. He's taken a 79 00:04:15,880 --> 00:04:19,200 Speaker 1: softer stance stance since since then and said that he's 80 00:04:19,200 --> 00:04:21,600 Speaker 1: going to review these with sort of an outside council. 81 00:04:21,640 --> 00:04:23,160 Speaker 1: We don't know who's on that council. We don't know 82 00:04:23,200 --> 00:04:25,919 Speaker 1: if they've actually had any conversations yet, but it is 83 00:04:25,960 --> 00:04:28,760 Speaker 1: interesting that, you know, he's sort of kind of crossing 84 00:04:28,760 --> 00:04:31,560 Speaker 1: this line here and saying, hey, if you're impersonating someone, 85 00:04:31,600 --> 00:04:34,400 Speaker 1: we're gonna boot. You have to imagine, you know, this 86 00:04:34,480 --> 00:04:36,320 Speaker 1: is coming from a lot of the pushpack he's getting 87 00:04:36,360 --> 00:04:39,839 Speaker 1: on this blue check verification process we've been talking about Emily, 88 00:04:40,040 --> 00:04:41,760 Speaker 1: which is where if you pay eight dollars a month, 89 00:04:41,800 --> 00:04:43,279 Speaker 1: you're soon going to be able to have kind of 90 00:04:43,279 --> 00:04:45,839 Speaker 1: that blue checkmark next to your name. Historically that's been 91 00:04:45,880 --> 00:04:48,919 Speaker 1: to verify that you are the actual person who you 92 00:04:48,960 --> 00:04:50,880 Speaker 1: claim to be on the account. But now it seems 93 00:04:50,880 --> 00:04:52,280 Speaker 1: like you're just going to be able to buy that 94 00:04:52,360 --> 00:04:56,080 Speaker 1: check for the eight dollars without any actual verification of 95 00:04:56,080 --> 00:04:58,360 Speaker 1: your identity. So that's probably why he's now trying to 96 00:04:58,360 --> 00:05:00,880 Speaker 1: get ahead of people who are in person, both himself 97 00:05:00,920 --> 00:05:04,480 Speaker 1: but presumably other you know, famous or well known users. 98 00:05:04,600 --> 00:05:07,520 Speaker 1: Last quick question, because I just have to ask, he 99 00:05:07,680 --> 00:05:12,440 Speaker 1: is now encouraging voters to vote Republican and also went 100 00:05:12,520 --> 00:05:15,680 Speaker 1: to great lengths to say he is a registered independent. 101 00:05:15,720 --> 00:05:20,239 Speaker 1: He's voted entirely Democrat until now. Why why is he 102 00:05:20,560 --> 00:05:22,960 Speaker 1: why is he going this far? Well, he he claims 103 00:05:22,960 --> 00:05:25,800 Speaker 1: in his tweet that you know, the White House is 104 00:05:26,240 --> 00:05:30,200 Speaker 1: you know, run by Democrat president, and so to counterbalance 105 00:05:30,279 --> 00:05:33,800 Speaker 1: that power, we should have Republicans who are um, you know, 106 00:05:34,040 --> 00:05:38,160 Speaker 1: running or controlling Congress. But this is something that's been 107 00:05:38,200 --> 00:05:40,520 Speaker 1: sort of a a change for him over the last 108 00:05:40,560 --> 00:05:44,240 Speaker 1: couple of months. He told employees and in all hands 109 00:05:44,279 --> 00:05:46,520 Speaker 1: in June that he voted Republican for the first time. 110 00:05:46,839 --> 00:05:49,400 Speaker 1: It feels like he is sort of swinging that way. 111 00:05:49,560 --> 00:05:51,360 Speaker 1: It's just very interesting, Emily that he would come out 112 00:05:51,360 --> 00:05:53,920 Speaker 1: and say it so bluntly like this. Could you imagine, 113 00:05:54,040 --> 00:05:56,640 Speaker 1: for example, if Mark Zuckerberg came out and took a 114 00:05:56,720 --> 00:05:59,000 Speaker 1: very strong political stance like this, right, I feel like 115 00:05:59,040 --> 00:06:01,680 Speaker 1: people would be absolute up in arms, losing their mind 116 00:06:01,760 --> 00:06:04,279 Speaker 1: over that. But you know, the fact that it's Elon 117 00:06:04,360 --> 00:06:07,320 Speaker 1: Musk and the fact that he's saying vote Republican, and 118 00:06:07,320 --> 00:06:09,920 Speaker 1: those are typically conservatives seem to be the ones who 119 00:06:09,920 --> 00:06:12,839 Speaker 1: typically have the biggest issue with you know, these social 120 00:06:12,880 --> 00:06:15,080 Speaker 1: networks and and the speech on them, I feel like 121 00:06:15,120 --> 00:06:17,960 Speaker 1: maybe people are okay with that given the stance that 122 00:06:18,000 --> 00:06:21,279 Speaker 1: he's taken here, right, It's it's wild indeed when you 123 00:06:21,279 --> 00:06:23,479 Speaker 1: put it that way. Okay, Bloomberg's krt Wagner, thank you, 124 00:06:23,480 --> 00:06:26,440 Speaker 1: will continue to follow you're reporting. I do want to 125 00:06:26,480 --> 00:06:29,799 Speaker 1: dig into another bloomberg scoop from this weekend, Apple expecting 126 00:06:29,839 --> 00:06:32,919 Speaker 1: to make at least three million fewer iPhone fourteens that 127 00:06:32,960 --> 00:06:36,000 Speaker 1: originally planned for the year. Are Mark German broke that story, 128 00:06:36,279 --> 00:06:39,800 Speaker 1: joins me. Now, Mark, why is Apple making these production cuts? 129 00:06:40,040 --> 00:06:42,000 Speaker 1: So two things going on here, right, you have the 130 00:06:42,000 --> 00:06:44,800 Speaker 1: iPhone fourteen and iPhone fourteen plus, which are the lower 131 00:06:44,920 --> 00:06:46,880 Speaker 1: end phones, and then you have the iPhone fourteen Pro 132 00:06:47,240 --> 00:06:49,200 Speaker 1: and the iPhone fourteen Pro mats, which are the higher 133 00:06:49,279 --> 00:06:52,000 Speaker 1: end phones. Now, in terms of the three million units 134 00:06:52,040 --> 00:06:54,320 Speaker 1: for that production cut that we wrote about, going from 135 00:06:54,400 --> 00:06:57,240 Speaker 1: ninety million through the year to eight seven million, that's 136 00:06:57,279 --> 00:07:00,160 Speaker 1: because of softer demand that has plagued those two or 137 00:07:00,200 --> 00:07:03,720 Speaker 1: an iPhone fourteens really from the beginning of their release, right, 138 00:07:03,920 --> 00:07:07,520 Speaker 1: the iPhone fourteen prone promax. That's a supply issue, and 139 00:07:07,560 --> 00:07:09,640 Speaker 1: as you mentioned at the top of the show, Apple 140 00:07:09,640 --> 00:07:12,679 Speaker 1: put out a warning discussing how their outlook for iPhone 141 00:07:12,720 --> 00:07:15,920 Speaker 1: units sold is going to be lower than anticipated because 142 00:07:15,960 --> 00:07:18,720 Speaker 1: of the output at their fox Con facility for those two, 143 00:07:18,720 --> 00:07:22,280 Speaker 1: particularly particular models in China going mostly offline due to 144 00:07:22,320 --> 00:07:25,680 Speaker 1: COVID protocols. So clearly there's both a supply and demand 145 00:07:25,680 --> 00:07:28,560 Speaker 1: issue depending on which models of the iPhone fourteen you're 146 00:07:28,600 --> 00:07:32,200 Speaker 1: looking at. How this impact the company's outlook, you know, 147 00:07:32,240 --> 00:07:34,760 Speaker 1: how does this fit into Apple's bigger picture? Right now, 148 00:07:35,120 --> 00:07:37,880 Speaker 1: it seems pretty clear that revenue for the holiday quarter, 149 00:07:37,880 --> 00:07:39,960 Speaker 1: which they'll announce at the end of January. This quarter 150 00:07:40,040 --> 00:07:43,280 Speaker 1: runs through December thirty one, it's gonna come in a 151 00:07:43,320 --> 00:07:46,160 Speaker 1: little bit lower than expected. Right when Apple held their 152 00:07:46,160 --> 00:07:48,560 Speaker 1: earnings about a week ago, they didn't know this was 153 00:07:48,600 --> 00:07:51,640 Speaker 1: the case. The COVID nineteen related lockdowns that was just 154 00:07:51,720 --> 00:07:54,040 Speaker 1: emerging in the days after that. That's why they had 155 00:07:54,080 --> 00:07:56,600 Speaker 1: to put this statement out over the weekend to indicate 156 00:07:56,600 --> 00:07:59,040 Speaker 1: that there is some sort of change here from what 157 00:07:59,080 --> 00:08:01,320 Speaker 1: they spoke about previous sleep. Now, the good news for 158 00:08:01,360 --> 00:08:04,720 Speaker 1: Apple from a financial regulation standpoint, they didn't give any 159 00:08:04,760 --> 00:08:06,800 Speaker 1: formal guidance. They didn't say our revenue is going to 160 00:08:06,880 --> 00:08:09,440 Speaker 1: come in between x amount and X amount. They said 161 00:08:09,560 --> 00:08:12,080 Speaker 1: that growth is going to come in slower than the 162 00:08:12,080 --> 00:08:14,520 Speaker 1: eight percent we saw in the fourth quarter, right, and 163 00:08:14,560 --> 00:08:17,280 Speaker 1: then Luca my Street, the Apple CFO, was asked, does 164 00:08:17,320 --> 00:08:19,600 Speaker 1: that mean you're going to see an annual decline from 165 00:08:19,640 --> 00:08:21,560 Speaker 1: the holiday quarter. He said, it's just going to be 166 00:08:21,640 --> 00:08:23,720 Speaker 1: less than eight percent, So that could mean seven percent 167 00:08:23,800 --> 00:08:26,400 Speaker 1: or that could mean negative two. All right, We're gonna 168 00:08:26,400 --> 00:08:28,760 Speaker 1: continue to follow your reporting on this, Mark, Thank you 169 00:08:29,360 --> 00:08:32,440 Speaker 1: so much for all of those updates. Bloomberg's Mark German 170 00:08:32,640 --> 00:08:43,120 Speaker 1: lots to digest. How to secure and protect online identity 171 00:08:43,120 --> 00:08:46,720 Speaker 1: has only become more important as more businesses go all 172 00:08:46,840 --> 00:08:49,199 Speaker 1: in on a digital world. This week, the cloud identity 173 00:08:49,200 --> 00:08:52,319 Speaker 1: software provider Octa is holding an investor day to talk 174 00:08:52,360 --> 00:08:56,199 Speaker 1: about the future of our digital and digital identities, along 175 00:08:56,200 --> 00:08:58,840 Speaker 1: with its biggest customer event of the year. Joining me 176 00:08:58,920 --> 00:09:01,720 Speaker 1: now oct to CEO and co founder Todd mckinn and Todd, 177 00:09:01,880 --> 00:09:03,960 Speaker 1: great to have you back here as always. So, look, 178 00:09:04,240 --> 00:09:06,840 Speaker 1: everyone is talking about the outlook right now. It seems 179 00:09:06,880 --> 00:09:10,599 Speaker 1: like every company is laying off. Folks were expecting potentially 180 00:09:10,640 --> 00:09:13,880 Speaker 1: thousands of layoffs at Meta alone. What are we seeing 181 00:09:13,880 --> 00:09:16,600 Speaker 1: in the sales environment in terms of the appetite to 182 00:09:16,679 --> 00:09:20,240 Speaker 1: buy your software and enterprise software right now? Well, the 183 00:09:20,280 --> 00:09:22,680 Speaker 1: first thing we're really excited about is the appetite for 184 00:09:22,720 --> 00:09:24,720 Speaker 1: folks to come to this conference. It's the first time 185 00:09:24,960 --> 00:09:27,480 Speaker 1: we've had our Octane event in person in three years, 186 00:09:27,920 --> 00:09:30,840 Speaker 1: and the whole thing is sold out. We're oversubscribed. That's 187 00:09:30,880 --> 00:09:34,000 Speaker 1: both from our customer event our investor event. So people 188 00:09:34,040 --> 00:09:36,440 Speaker 1: are incredibly interested in this topic and what do you know, 189 00:09:36,520 --> 00:09:39,240 Speaker 1: they like to be together in in person, which is 190 00:09:39,600 --> 00:09:42,000 Speaker 1: a powerful platform for us to start telling the story. 191 00:09:42,360 --> 00:09:44,760 Speaker 1: And as you did, as you mentioned Emily, everyone this 192 00:09:44,840 --> 00:09:46,520 Speaker 1: is a different world than we were in a year ago. 193 00:09:47,120 --> 00:09:50,320 Speaker 1: Everyone is worried about the economic uncertainty. Everyone is really 194 00:09:50,360 --> 00:09:53,559 Speaker 1: scrutinizing their investments to make sure that they spend their 195 00:09:53,600 --> 00:09:55,440 Speaker 1: dollars on the things that are going to move their 196 00:09:55,480 --> 00:09:58,080 Speaker 1: businesses forward. And the good thing for us as they 197 00:09:58,120 --> 00:10:00,959 Speaker 1: make those decisions, identity is coming up as a very 198 00:10:00,960 --> 00:10:03,920 Speaker 1: strategic initiative they should invest in. What is your outlook 199 00:10:04,040 --> 00:10:07,360 Speaker 1: given the macro environment? Taught and how are you thinking 200 00:10:07,800 --> 00:10:11,240 Speaker 1: about jobs and spending? Are you planning any layoffs? Are 201 00:10:11,280 --> 00:10:14,560 Speaker 1: you planning to cut back anywhere? We are not planning layoffs, 202 00:10:14,840 --> 00:10:18,319 Speaker 1: but like every other company, we're really scrutinizing where we're investing, 203 00:10:18,320 --> 00:10:20,680 Speaker 1: and we think our team is a great investment. They're 204 00:10:20,679 --> 00:10:22,200 Speaker 1: the best in the industry and they're going to help 205 00:10:22,240 --> 00:10:25,240 Speaker 1: our customers be successful. But across the board, everyone is 206 00:10:25,240 --> 00:10:27,520 Speaker 1: trying to do more with less. Make sure that every 207 00:10:27,559 --> 00:10:30,120 Speaker 1: dollar we spend is in the highest r o I area, 208 00:10:30,480 --> 00:10:32,560 Speaker 1: And what you see from our customers is that they're 209 00:10:32,559 --> 00:10:36,319 Speaker 1: getting a huge return on their investments and identity. It's 210 00:10:36,360 --> 00:10:38,920 Speaker 1: not just for security, and it's not just for I 211 00:10:39,040 --> 00:10:42,120 Speaker 1: T productivity. It's also for customers. They can build better 212 00:10:42,160 --> 00:10:45,640 Speaker 1: customer relationships, they can drive new revenue channels, and that's 213 00:10:45,640 --> 00:10:47,000 Speaker 1: what you want to do. And there's a time of 214 00:10:47,040 --> 00:10:49,880 Speaker 1: economic uncertainty. You want to make sure you cut costs 215 00:10:49,880 --> 00:10:51,800 Speaker 1: and have good investment in terms of what you're spending 216 00:10:51,800 --> 00:10:53,480 Speaker 1: your money on, but you also have to drive growth 217 00:10:53,480 --> 00:10:55,320 Speaker 1: because a lot of times that's when you can get 218 00:10:55,320 --> 00:10:57,800 Speaker 1: ahead of your competitors when they're cutting back. You can 219 00:10:57,840 --> 00:11:00,880 Speaker 1: invest in the right areas and move forward time. Digital 220 00:11:00,920 --> 00:11:04,600 Speaker 1: authentication services are still a huge prize for hackers. Of course, 221 00:11:04,720 --> 00:11:07,920 Speaker 1: we've talked about the the the hack that Octa had 222 00:11:07,960 --> 00:11:11,319 Speaker 1: to deal with earlier this year. Twilio also dealing with 223 00:11:11,360 --> 00:11:14,960 Speaker 1: one as well. How would you say, the threat level 224 00:11:15,000 --> 00:11:17,400 Speaker 1: has changed, and what are you doing to stay on 225 00:11:17,440 --> 00:11:19,960 Speaker 1: top of it. Well, one thing that doesn't change is 226 00:11:20,000 --> 00:11:23,520 Speaker 1: that whether there's economic uncertainty and how people are thinking 227 00:11:23,520 --> 00:11:28,000 Speaker 1: about investments, the risk from security breaches and the regulatory 228 00:11:28,040 --> 00:11:30,360 Speaker 1: overview that comes when there's a security breach, and the 229 00:11:30,400 --> 00:11:33,920 Speaker 1: cost that puts on companies, that is consistent. That's always there. 230 00:11:34,280 --> 00:11:37,320 Speaker 1: So companies have to invest in their cyber posture and 231 00:11:37,320 --> 00:11:39,840 Speaker 1: they have to make sure they have a great foundation 232 00:11:39,880 --> 00:11:42,600 Speaker 1: foundation to keep everything secure. They of course have to 233 00:11:42,600 --> 00:11:44,840 Speaker 1: make sure they're spending the right investments and getting the 234 00:11:44,880 --> 00:11:49,120 Speaker 1: best innovation for that money. But cybersecurity is something that's 235 00:11:49,120 --> 00:11:52,080 Speaker 1: it's it's recession resistant. I'm curious what you think of 236 00:11:52,080 --> 00:11:56,199 Speaker 1: Elon Musk's approach to verification, this idea of knowing your 237 00:11:56,240 --> 00:12:00,560 Speaker 1: customer proving identity when others are saying this is just 238 00:12:00,600 --> 00:12:03,040 Speaker 1: a way to pay to play. Well, I think that 239 00:12:03,200 --> 00:12:06,160 Speaker 1: Twitter is a is a great technology company. It's changed 240 00:12:06,200 --> 00:12:09,160 Speaker 1: the world, and even a company like Twitter has to 241 00:12:09,200 --> 00:12:12,560 Speaker 1: do a better job connecting with their customers, whether that's 242 00:12:12,640 --> 00:12:15,680 Speaker 1: figuring out who gets the blue check mark, whether that's 243 00:12:15,760 --> 00:12:18,319 Speaker 1: figuring out what's about and what's not about these things 244 00:12:18,640 --> 00:12:20,920 Speaker 1: in the in the takeover of Twitter and as as 245 00:12:20,960 --> 00:12:23,160 Speaker 1: Ellen comes in to run the company, these things have 246 00:12:23,240 --> 00:12:24,800 Speaker 1: come up over and over again. So it just goes 247 00:12:24,800 --> 00:12:26,720 Speaker 1: to show you if Twitter has these challenges and these 248 00:12:26,760 --> 00:12:29,880 Speaker 1: opportunities by they could brief the benefits of getting another 249 00:12:29,960 --> 00:12:33,199 Speaker 1: customers better. Think about every other company, every other organization 250 00:12:33,200 --> 00:12:35,480 Speaker 1: in the world. If they can know their customers, if 251 00:12:35,480 --> 00:12:38,079 Speaker 1: they can build great products and service for them that 252 00:12:38,160 --> 00:12:41,000 Speaker 1: validate the right users, get them into the right capabilities, 253 00:12:41,240 --> 00:12:44,400 Speaker 1: that's gonna be really a groundswell for every organization in 254 00:12:44,440 --> 00:12:46,360 Speaker 1: the world. And that's what everyone's trying to do. And 255 00:12:46,400 --> 00:12:48,280 Speaker 1: that's why it all comes back to identity, because you 256 00:12:48,360 --> 00:12:50,480 Speaker 1: have to know who that customer is. You have to 257 00:12:50,520 --> 00:12:52,560 Speaker 1: have high confidence in it so you can deliver that 258 00:12:52,600 --> 00:12:56,480 Speaker 1: customer a great personalized experience that changes their day, makes 259 00:12:56,520 --> 00:12:59,640 Speaker 1: them perceive a ton of value from your product or service, 260 00:13:00,080 --> 00:13:03,320 Speaker 1: moves your company forward. He's also telling users to vote 261 00:13:03,320 --> 00:13:07,559 Speaker 1: republic Republican and I know federal government sales are important 262 00:13:07,559 --> 00:13:11,000 Speaker 1: to Octa. How do things change for you if you 263 00:13:11,040 --> 00:13:14,480 Speaker 1: know Congress Republicans win Congress. Does that make a difference 264 00:13:14,520 --> 00:13:16,560 Speaker 1: for Octa? Well, one thing I want to say is 265 00:13:16,600 --> 00:13:19,040 Speaker 1: I did. I voted today so you can see my 266 00:13:19,720 --> 00:13:24,280 Speaker 1: good for you very conference. We have this big conference, 267 00:13:24,280 --> 00:13:26,719 Speaker 1: so I had to do it early absentee. But all 268 00:13:26,760 --> 00:13:29,199 Speaker 1: I'll say on this is that everyone needs to vote. 269 00:13:30,000 --> 00:13:33,240 Speaker 1: Democracy works when everyone has heard, So everyone should vote. 270 00:13:33,240 --> 00:13:35,200 Speaker 1: It's an important part of what we do. It's an 271 00:13:35,200 --> 00:13:37,400 Speaker 1: important part of our country, it's important part of the world. 272 00:13:37,440 --> 00:13:41,040 Speaker 1: So get out there and vote. All right. I can 273 00:13:41,200 --> 00:13:43,480 Speaker 1: can only support that. Look, you've got a huge customer 274 00:13:43,480 --> 00:13:46,200 Speaker 1: event coming up and invest your day. You've been talking 275 00:13:46,280 --> 00:13:49,480 Speaker 1: about this passwordless future for a really long time. What 276 00:13:49,520 --> 00:13:52,360 Speaker 1: are you telling them about how far away that really is? 277 00:13:52,480 --> 00:13:54,160 Speaker 1: When are we all going to be done with passwords? 278 00:13:54,400 --> 00:13:56,400 Speaker 1: This is one of the most exciting things that's happening 279 00:13:56,400 --> 00:13:59,760 Speaker 1: in the industry. We are on the cusps, especially at 280 00:13:59,800 --> 00:14:02,480 Speaker 1: work of being able to get rid of passwords. ACTA 281 00:14:02,600 --> 00:14:06,600 Speaker 1: has the technology today to remove the password from every 282 00:14:06,640 --> 00:14:10,560 Speaker 1: employee in the world. And that's because two things. One 283 00:14:10,640 --> 00:14:14,320 Speaker 1: is that we can utilize the strong authentication from their 284 00:14:14,520 --> 00:14:16,880 Speaker 1: iPhone or their Android phone, or from their Mac or 285 00:14:16,920 --> 00:14:19,960 Speaker 1: their PC and integrate that. And this is an important point, 286 00:14:20,000 --> 00:14:23,120 Speaker 1: has to be integrated to every application service you need 287 00:14:23,160 --> 00:14:25,920 Speaker 1: to go in your entire work day, and that's what's challenging. 288 00:14:25,920 --> 00:14:28,840 Speaker 1: It's not that we didn't have the right biometric sensors, 289 00:14:29,160 --> 00:14:31,400 Speaker 1: is that it was hard to get these biometric sensors 290 00:14:31,400 --> 00:14:34,040 Speaker 1: connected to everything in your environment. And that's the problem 291 00:14:34,120 --> 00:14:36,840 Speaker 1: we solve. And so this is an exciting development. I 292 00:14:36,840 --> 00:14:39,640 Speaker 1: think we can make employees much more productive and more importantly, 293 00:14:40,200 --> 00:14:42,840 Speaker 1: if it's a biometric sensor, it's much more secure, and 294 00:14:42,960 --> 00:14:45,400 Speaker 1: that's why we're excited to tell our story to the 295 00:14:45,440 --> 00:14:47,840 Speaker 1: world this week. All right, well, good luck at Octane 296 00:14:47,880 --> 00:14:50,000 Speaker 1: This week, oct to CEO and co founder Todd McKinnon 297 00:14:50,080 --> 00:14:53,160 Speaker 1: joining us for an exclusive interview. Todd, thanks so much 298 00:14:53,240 --> 00:14:55,600 Speaker 1: for stopping by. All Right, coming up, we're gonna hear 299 00:14:55,600 --> 00:14:59,320 Speaker 1: from Microsoft President Brad Smith from top in Egypt. We're 300 00:14:59,320 --> 00:15:03,000 Speaker 1: gonna talk about microsoft new climate initiatives and how the 301 00:15:03,080 --> 00:15:07,280 Speaker 1: company is also navigating the downturn. That's next. This is Bloomberg. 302 00:15:18,520 --> 00:15:22,200 Speaker 1: The Summit is underway in Egypt, with this year's event 303 00:15:22,200 --> 00:15:26,239 Speaker 1: providing a chance to reinject momentum into the energy transition. 304 00:15:26,520 --> 00:15:28,840 Speaker 1: Heads of states and governments all in attendance, as well 305 00:15:28,840 --> 00:15:33,120 Speaker 1: as major companies like Microsoft, which plans to be carbon negative. 306 00:15:34,240 --> 00:15:37,080 Speaker 1: I caught up with Microsoft President Brad Smith. Take a listen. 307 00:15:37,280 --> 00:15:39,320 Speaker 1: I think it's really important to think a little bit 308 00:15:39,320 --> 00:15:41,440 Speaker 1: about the problem that we and others are trying to 309 00:15:41,480 --> 00:15:44,880 Speaker 1: help solve. So much of the work that is needed, 310 00:15:44,960 --> 00:15:49,040 Speaker 1: especially to adapt the climate change, really involves better use 311 00:15:49,080 --> 00:15:53,640 Speaker 1: of a more data, better predictive modeling. You look at 312 00:15:53,680 --> 00:15:57,360 Speaker 1: predicting wildfires, whether you're in the United States or India 313 00:15:57,440 --> 00:16:00,600 Speaker 1: or in Africa. If you look at things like responding 314 00:16:00,640 --> 00:16:03,200 Speaker 1: to floods, you need to be able to predict these 315 00:16:03,240 --> 00:16:07,440 Speaker 1: things and then give people early warning systems. Yet, if 316 00:16:07,480 --> 00:16:11,440 Speaker 1: you look at Africa today, for every four team data 317 00:16:11,520 --> 00:16:15,400 Speaker 1: scientists that there are in developed countries, there's only one 318 00:16:15,560 --> 00:16:19,640 Speaker 1: in Africa. So we've opened up. We're announcing today two 319 00:16:19,680 --> 00:16:23,040 Speaker 1: new data labs, one in Egypt, one in Kenya. We're 320 00:16:23,080 --> 00:16:26,760 Speaker 1: parkering with Planet Planet Labs in San Francisco, which is 321 00:16:26,800 --> 00:16:30,400 Speaker 1: doing I just think this extraordinary work with new satellites 322 00:16:30,800 --> 00:16:34,720 Speaker 1: to bring satellite based imagery and data, including for Africa. 323 00:16:35,080 --> 00:16:40,320 Speaker 1: You put our AI capabilities are data scientists, planets imagery together, 324 00:16:41,000 --> 00:16:43,880 Speaker 1: now we can be a bit of an equalizer. We 325 00:16:43,960 --> 00:16:49,720 Speaker 1: can help climate scientists on a continent like Africa. Now meantime, 326 00:16:49,760 --> 00:16:53,240 Speaker 1: bread the economy continues to go south. We're seeing layoffs 327 00:16:53,240 --> 00:16:56,160 Speaker 1: in the tech industry across the board. We're expecting thousands 328 00:16:56,160 --> 00:16:58,920 Speaker 1: of people to get laid off at Meta just this week. 329 00:16:59,200 --> 00:17:02,240 Speaker 1: I know Microsoft has done some layoffs but hasn't had 330 00:17:02,280 --> 00:17:05,639 Speaker 1: a major round of cuts yet. Are you planning to 331 00:17:05,680 --> 00:17:09,960 Speaker 1: do more layoffs and how are you thinking about spending, etcetera. 332 00:17:10,240 --> 00:17:12,800 Speaker 1: I think the most important thing for a company like 333 00:17:12,840 --> 00:17:16,520 Speaker 1: Microsoft is first to recognize the role that we play. 334 00:17:16,600 --> 00:17:19,439 Speaker 1: We're not in the advertising business to the degree that 335 00:17:19,560 --> 00:17:22,320 Speaker 1: some of the other companies are, or more focused on 336 00:17:22,640 --> 00:17:30,920 Speaker 1: really providing the digital infrastructure that companies, businesses, nonprofits, governments need. 337 00:17:31,400 --> 00:17:35,320 Speaker 1: So in a world with increasing economic headwinds and there 338 00:17:35,320 --> 00:17:38,159 Speaker 1: are many, you know, the kind of technology that we 339 00:17:38,320 --> 00:17:41,320 Speaker 1: create is one of the better tail winds on which 340 00:17:41,320 --> 00:17:44,639 Speaker 1: people can rely and we're seeing that. So to answer 341 00:17:44,680 --> 00:17:48,640 Speaker 1: your question, Emily, we will continue, I think, to manage 342 00:17:48,640 --> 00:17:51,440 Speaker 1: through this recession the same way we have managed through 343 00:17:51,440 --> 00:17:56,520 Speaker 1: every recession since Microsoft was founded. In We identify the 344 00:17:56,560 --> 00:17:59,280 Speaker 1: technologies that will not only be important to the quarter 345 00:17:59,359 --> 00:18:03,200 Speaker 1: in the year, but fundamentally the decade ahead, and we'll 346 00:18:03,240 --> 00:18:06,480 Speaker 1: make sure that we invest and we may even invest 347 00:18:06,560 --> 00:18:09,600 Speaker 1: more in the technologies of the future, say things like 348 00:18:09,720 --> 00:18:13,880 Speaker 1: artificial intelligence. Now, we may have to trim some other 349 00:18:14,119 --> 00:18:17,640 Speaker 1: cost areas because it is a recession. But I think 350 00:18:17,640 --> 00:18:19,919 Speaker 1: what you'll do is see us trim if we need to, 351 00:18:20,520 --> 00:18:23,720 Speaker 1: and then use that to free up resources to invest 352 00:18:23,960 --> 00:18:27,199 Speaker 1: in what we regard as the long term creation of value, 353 00:18:27,359 --> 00:18:38,479 Speaker 1: not only for ourselves but for our customers. Welcome back 354 00:18:38,480 --> 00:18:40,600 Speaker 1: to bloom Er Technology, em Emily Chang in San Francisco. 355 00:18:41,080 --> 00:18:44,399 Speaker 1: Twitter may now be a private company, but Elon Musk's 356 00:18:44,440 --> 00:18:47,439 Speaker 1: purchase of the social media platform is still being felt 357 00:18:47,800 --> 00:18:50,480 Speaker 1: by the public markets. Bloomberg's ad Ludlow here with a 358 00:18:50,560 --> 00:18:54,959 Speaker 1: look at Tesla and obviously you know I can't ignore 359 00:18:55,000 --> 00:18:57,120 Speaker 1: this if you're a Tesla investor at yeah, you can. 360 00:18:57,280 --> 00:18:59,600 Speaker 1: I mean, the stalk is down on this on a 361 00:18:59,640 --> 00:19:02,920 Speaker 1: twelve month basis, It's at the seventeenth month and new 362 00:19:03,000 --> 00:19:06,720 Speaker 1: fifty two week low, down five percent during Monday's session, 363 00:19:06,840 --> 00:19:09,280 Speaker 1: worst performer on a points basis on the NASA one. 364 00:19:09,720 --> 00:19:12,880 Speaker 1: And clearly there's a Twitter overhang, right. I think one 365 00:19:12,920 --> 00:19:15,359 Speaker 1: of the numbers that jumps out at me is that 366 00:19:15,520 --> 00:19:18,480 Speaker 1: Tesla shares are down more than twelve percent since October 367 00:19:18,480 --> 00:19:21,719 Speaker 1: twenty seven, when must close the deal to buy Twitter. 368 00:19:22,240 --> 00:19:24,840 Speaker 1: In that time, the SMP five, the main gage of 369 00:19:24,960 --> 00:19:27,879 Speaker 1: US equities is basically flat, and there's a lot of 370 00:19:28,000 --> 00:19:31,160 Speaker 1: discussion in the market about what is going on here. 371 00:19:31,200 --> 00:19:32,560 Speaker 1: A big part of it, if you come to me, 372 00:19:32,600 --> 00:19:35,000 Speaker 1: it's my Bloombow terminal m. It seems to be key 373 00:19:35,000 --> 00:19:38,200 Speaker 1: man risk that as we know from Twitter. For anyone 374 00:19:38,240 --> 00:19:40,400 Speaker 1: that's paid any attention to the platform in the last 375 00:19:40,400 --> 00:19:43,080 Speaker 1: twenty four hours or the last few months. Elon Musk 376 00:19:43,200 --> 00:19:45,960 Speaker 1: is tweeting very regularly. He's kind of very focused based 377 00:19:46,000 --> 00:19:48,280 Speaker 1: on the reporting that Kurt Wagoner and I have done 378 00:19:48,280 --> 00:19:51,120 Speaker 1: on this platform and its future. And there's concern out 379 00:19:51,119 --> 00:19:53,800 Speaker 1: there from Tesla shareholders who have voiced this concern on 380 00:19:53,840 --> 00:19:57,800 Speaker 1: the platform that he's distracted being away from Tesla. There's 381 00:19:57,880 --> 00:20:01,440 Speaker 1: less of a conversation now about the concern of him 382 00:20:01,480 --> 00:20:04,080 Speaker 1: selling down more of his own tests the shares in 383 00:20:04,160 --> 00:20:06,760 Speaker 1: order to finance the Twitter deal because of what we 384 00:20:06,800 --> 00:20:09,199 Speaker 1: know what he did both on the debt and on 385 00:20:09,240 --> 00:20:12,600 Speaker 1: the equity co investors side. But clearly there's an overhang 386 00:20:12,640 --> 00:20:16,080 Speaker 1: here and it's just strange to see such poor performance 387 00:20:16,119 --> 00:20:19,240 Speaker 1: in Tesla stock both in the short, medium, and long terms. 388 00:20:19,640 --> 00:20:21,639 Speaker 1: And this is sort of a perennial question, but I 389 00:20:21,680 --> 00:20:25,400 Speaker 1: wonder if the answer to it is changing. Is Tesla 390 00:20:25,800 --> 00:20:29,320 Speaker 1: a tech stock or is it a car stock? And 391 00:20:29,359 --> 00:20:32,120 Speaker 1: how our investors thinking about it? And I will take 392 00:20:32,119 --> 00:20:34,200 Speaker 1: a perennial question from you any day of the week. 393 00:20:34,320 --> 00:20:37,240 Speaker 1: I mean, it is the question. You know. The cell 394 00:20:37,320 --> 00:20:40,080 Speaker 1: side analysts that cover Tesla do so from a sort 395 00:20:40,080 --> 00:20:43,440 Speaker 1: of classic automotive perspective. Many treat it as a higher 396 00:20:43,520 --> 00:20:46,719 Speaker 1: multiple tech or software play, right, because much of its 397 00:20:46,760 --> 00:20:50,159 Speaker 1: valuation in recent years has been based on the future 398 00:20:50,160 --> 00:20:53,320 Speaker 1: promise of full self driving. Ultimately, I look at the fundamentals, right, 399 00:20:53,359 --> 00:20:55,840 Speaker 1: this is a stock that trades at forty seven times 400 00:20:56,080 --> 00:20:59,160 Speaker 1: forward earnings. If you compare with General Motives for example, 401 00:20:59,200 --> 00:21:01,920 Speaker 1: that's a stock that aids below seven times forward earnings. 402 00:21:02,359 --> 00:21:05,040 Speaker 1: At forty seven times forward earnings, that is a stretched 403 00:21:05,119 --> 00:21:07,959 Speaker 1: multiple stock in anyone's book. You know, we've talked all 404 00:21:08,000 --> 00:21:11,240 Speaker 1: about in video for example, trading at thirty times forward earnings. 405 00:21:11,280 --> 00:21:13,360 Speaker 1: There's nowhere near what test is at right now. So 406 00:21:13,720 --> 00:21:16,159 Speaker 1: that's not a definitive answer the question. I'm sorry to 407 00:21:16,200 --> 00:21:18,560 Speaker 1: sort of bat you away, but it depends how you 408 00:21:18,600 --> 00:21:20,960 Speaker 1: look at it, if you look at the fundamentals, test 409 00:21:21,000 --> 00:21:23,719 Speaker 1: that does not trade like a legacy automotive name. All right, 410 00:21:23,840 --> 00:21:27,760 Speaker 1: Bloomberg's I'd love low. Thank you, as always, more perennial 411 00:21:27,840 --> 00:21:41,960 Speaker 1: questions to come. The US midterm elections are coming up. Man, 412 00:21:42,040 --> 00:21:46,040 Speaker 1: The crypto industry has its eyes on Congress. Question after 413 00:21:46,080 --> 00:21:49,520 Speaker 1: the vote, will we finally get progress on crypto regulation? 414 00:21:49,720 --> 00:21:54,959 Speaker 1: Bloomberg's Kayley lines, reports are regulators, and frankly, our Congress 415 00:21:55,640 --> 00:21:58,880 Speaker 1: is an hour late and a dollar short, and we 416 00:21:58,960 --> 00:22:03,240 Speaker 1: need to catch with where these cryptocurrencies are going. Congress 417 00:22:03,280 --> 00:22:06,480 Speaker 1: has been calling for greater regulation of crypto for years, 418 00:22:06,520 --> 00:22:09,000 Speaker 1: but it's been a lot of talk and to this point, 419 00:22:09,160 --> 00:22:11,360 Speaker 1: not a lot of walk. We have the intention, we're 420 00:22:11,400 --> 00:22:13,400 Speaker 1: just not quite getting it over the line. The crypto 421 00:22:13,440 --> 00:22:16,080 Speaker 1: industry has been asking Congress to help create the rules 422 00:22:16,080 --> 00:22:18,920 Speaker 1: of the road, but optimism on progress has faded as 423 00:22:18,920 --> 00:22:21,720 Speaker 1: the mid terms draw closer. There was some hope from 424 00:22:21,720 --> 00:22:23,920 Speaker 1: many an industry that this was actually going to happen 425 00:22:24,000 --> 00:22:26,840 Speaker 1: this year, that a bunch of bills that had been proposed, 426 00:22:27,000 --> 00:22:29,320 Speaker 1: we're promising that we could actually see some movement here 427 00:22:29,320 --> 00:22:31,959 Speaker 1: on Capitol Hill. But just like pretty much everything in 428 00:22:31,960 --> 00:22:35,119 Speaker 1: Washington heading towards the end of it all seems kind 429 00:22:35,119 --> 00:22:36,960 Speaker 1: of stuck right now. The bills that have gained the 430 00:22:36,960 --> 00:22:40,080 Speaker 1: most traction include legislation to regulate stable points and to 431 00:22:40,119 --> 00:22:43,520 Speaker 1: give the CFTC more power to oversee digital assents, but 432 00:22:43,680 --> 00:22:46,440 Speaker 1: success on those initiatives will have to wait until after 433 00:22:46,480 --> 00:22:49,639 Speaker 1: the mid terms. I think both Kirsten and I believe 434 00:22:49,840 --> 00:22:54,920 Speaker 1: that the bill in one piece, as a total bill 435 00:22:55,760 --> 00:22:59,840 Speaker 1: is more likely to be deferred until next year. It's 436 00:22:59,840 --> 00:23:03,960 Speaker 1: a big topic, it's comprehensive, and it's still new to 437 00:23:04,440 --> 00:23:07,199 Speaker 1: many U S. Senators. It's a lot for them to 438 00:23:07,359 --> 00:23:11,080 Speaker 1: digest with the few remaining weeks we have in this 439 00:23:11,359 --> 00:23:14,080 Speaker 1: came under a year. Big names in crypto like Sam 440 00:23:14,080 --> 00:23:17,080 Speaker 1: bankman Fried, the billionaire founder of FTX, are also trying 441 00:23:17,119 --> 00:23:21,160 Speaker 1: to make change, with their dollars emerging as influential political donors. 442 00:23:21,160 --> 00:23:24,399 Speaker 1: While he says he's motivated primarily by pandemic prevention and 443 00:23:24,440 --> 00:23:27,600 Speaker 1: wants to support candidates who will prioritize that, he also 444 00:23:27,680 --> 00:23:30,719 Speaker 1: has been pushing the regulatory agenda. I've a duty as 445 00:23:30,760 --> 00:23:33,280 Speaker 1: a member of the industry to try and get us regulated, 446 00:23:33,280 --> 00:23:36,440 Speaker 1: to try and move the industry in a more responsible direction, 447 00:23:36,920 --> 00:23:39,879 Speaker 1: and I think that requires engagement. I think to be 448 00:23:39,960 --> 00:23:43,240 Speaker 1: irresponsible to me not to engage UM, you know, with 449 00:23:43,320 --> 00:23:46,600 Speaker 1: Tackle Hill, with regulators and the things that I've been 450 00:23:46,680 --> 00:23:49,280 Speaker 1: arguing for, our more regulation for the industry. I think 451 00:23:49,320 --> 00:23:51,639 Speaker 1: that's what's right for the country. Bankman Freed is the 452 00:23:51,680 --> 00:23:54,920 Speaker 1: fourth largest individual donor this midterm cycle and has made 453 00:23:54,920 --> 00:23:58,760 Speaker 1: about forty million dollars in political contributions this year. He 454 00:23:58,840 --> 00:24:02,680 Speaker 1: has said he could give even more in I think 455 00:24:02,720 --> 00:24:06,600 Speaker 1: that you're going to see more people pushing into politics 456 00:24:06,680 --> 00:24:10,679 Speaker 1: because now, uh, the interaction with DC is going to 457 00:24:10,720 --> 00:24:14,800 Speaker 1: be one of the main drivers of whether enterprises are 458 00:24:14,840 --> 00:24:21,240 Speaker 1: able to grow and operate UM successfully. Yeah, clearly lines 459 00:24:21,280 --> 00:24:33,880 Speaker 1: with that report. Republican lawmakers have been working to revive 460 00:24:33,960 --> 00:24:37,119 Speaker 1: former President Trump's bid to band TikTok in recent months, 461 00:24:37,119 --> 00:24:39,520 Speaker 1: so for fears the u S data is ending up 462 00:24:39,520 --> 00:24:41,920 Speaker 1: in the hands of the Chinese government. Just last week, 463 00:24:42,000 --> 00:24:45,679 Speaker 1: FEC Commissioner Brendan Car told Axios that TikTok should be 464 00:24:45,720 --> 00:24:49,520 Speaker 1: outright ban. He joins me now for more on this 465 00:24:49,680 --> 00:24:52,480 Speaker 1: UM Commissioner Car, thank you as always for taking the time. 466 00:24:52,720 --> 00:24:55,879 Speaker 1: You said specifically, you don't believe there's a path forward 467 00:24:55,920 --> 00:24:59,440 Speaker 1: for anything other than a ban, which is a step 468 00:24:59,520 --> 00:25:02,360 Speaker 1: up from what you said in the past. Why take 469 00:25:02,400 --> 00:25:04,760 Speaker 1: it that far. Yeah, Look, it seems almost every week 470 00:25:04,840 --> 00:25:07,560 Speaker 1: there's a new leaked material coming out of TikTok that 471 00:25:08,160 --> 00:25:10,680 Speaker 1: just really advisceerates the trust. And at the end of 472 00:25:10,680 --> 00:25:13,760 Speaker 1: the day, the nation security agencies haven't working on what's 473 00:25:13,760 --> 00:25:16,600 Speaker 1: known as Project Texas, which is to move a lot 474 00:25:16,640 --> 00:25:19,760 Speaker 1: of TikTok's operations to oracle servers here in the US, 475 00:25:19,840 --> 00:25:23,120 Speaker 1: and that's the response to national security concerns. The problem 476 00:25:23,119 --> 00:25:24,960 Speaker 1: with that is there's a new report about ten days 477 00:25:25,000 --> 00:25:28,000 Speaker 1: ago from Forbes that a TikTok official out of l 478 00:25:28,040 --> 00:25:31,360 Speaker 1: A having an unusual outside business hour meeting where they're 479 00:25:31,400 --> 00:25:35,800 Speaker 1: asking another TikTok employee detailed questions about the location and 480 00:25:35,840 --> 00:25:38,359 Speaker 1: other details of those oracle servers. We also have leaked 481 00:25:38,359 --> 00:25:42,520 Speaker 1: materials from a DC TikTok official that said once that 482 00:25:42,560 --> 00:25:45,080 Speaker 1: Project Texas is put in place, it remains to be 483 00:25:45,119 --> 00:25:49,080 Speaker 1: seen if Beijing can still get access to US user 484 00:25:49,160 --> 00:25:50,800 Speaker 1: data because the end of the day, these are their 485 00:25:50,840 --> 00:25:53,720 Speaker 1: tools that they build in China. So if TikTok is 486 00:25:53,800 --> 00:25:57,680 Speaker 1: ensure that these new protections will safeguard US user data. 487 00:25:57,880 --> 00:25:59,560 Speaker 1: Then I don't think we should be so sure either. 488 00:26:00,160 --> 00:26:03,239 Speaker 1: You don't have the authority to ban TikTok, So what 489 00:26:03,280 --> 00:26:07,199 Speaker 1: are you hoping to accomplish with this assertion? Yes? Right, 490 00:26:07,280 --> 00:26:09,840 Speaker 1: this isn't like Huawei or ZC or China Mobile, where 491 00:26:09,840 --> 00:26:12,760 Speaker 1: we at the SEC had um federal funding at issue 492 00:26:12,880 --> 00:26:15,680 Speaker 1: or sc licensed at issue. But what I gained from 493 00:26:15,720 --> 00:26:19,000 Speaker 1: all this case was some insight into dealing with companies 494 00:26:19,000 --> 00:26:22,600 Speaker 1: that have ties back into communist China and sort of 495 00:26:22,680 --> 00:26:25,199 Speaker 1: malign data flows. And so I'm happy to sort of 496 00:26:25,200 --> 00:26:27,560 Speaker 1: bring that expertise to bear and talk about it. But 497 00:26:27,600 --> 00:26:30,080 Speaker 1: the reality is this is broad and bipartisan. You've got 498 00:26:30,080 --> 00:26:32,959 Speaker 1: Senator Mark Warner, Democrats, chairman of sent An Intel, who 499 00:26:33,000 --> 00:26:36,400 Speaker 1: looks at a lot of really interesting security briefrints every day, 500 00:26:36,640 --> 00:26:39,080 Speaker 1: and he says that it is TikTok that scares the 501 00:26:39,520 --> 00:26:44,360 Speaker 1: dickens atum you have. Just last week, Democrat Chairwoman Shikowski 502 00:26:44,400 --> 00:26:47,080 Speaker 1: in the House, she wrote a letter with Republican Bill 503 00:26:47,119 --> 00:26:50,280 Speaker 1: Iraqis to Apple and Google saying we're concerned about your 504 00:26:50,359 --> 00:26:52,919 Speaker 1: continued inclusion of TikTok in the app store. So this 505 00:26:52,960 --> 00:26:56,160 Speaker 1: isn't just about me. This is about broad, deep bipartisan 506 00:26:56,520 --> 00:26:58,840 Speaker 1: concern that's being expressed, and you're right this. Ultimately, I 507 00:26:58,840 --> 00:27:00,760 Speaker 1: think in the lead is gonna be tread Tree, which 508 00:27:00,760 --> 00:27:03,560 Speaker 1: has the Cippius process, and I think that should be 509 00:27:03,640 --> 00:27:06,639 Speaker 1: the focus of federal action at the Treasury Scipious Process, 510 00:27:06,720 --> 00:27:09,240 Speaker 1: not the SEC, but it could potentionally the f PC 511 00:27:09,400 --> 00:27:11,280 Speaker 1: or the Commerce Department as well. So what do you 512 00:27:11,320 --> 00:27:14,200 Speaker 1: hope to come out of that national security agreement with 513 00:27:14,280 --> 00:27:16,280 Speaker 1: TikTok that we have at this moment? You know, I 514 00:27:16,320 --> 00:27:19,520 Speaker 1: didn't open, at least theoretically for a while that there 515 00:27:19,600 --> 00:27:22,720 Speaker 1: is some agreement that's put in place that addresses national 516 00:27:22,720 --> 00:27:24,960 Speaker 1: security concerns. But there is a New York Times piece 517 00:27:25,000 --> 00:27:27,240 Speaker 1: a couple of weeks ago that said there's a tentative 518 00:27:27,280 --> 00:27:28,920 Speaker 1: deal that's been put in place or a draft deal 519 00:27:28,960 --> 00:27:32,199 Speaker 1: with TikTok, But then it had multiple high level um 520 00:27:32,359 --> 00:27:35,800 Speaker 1: sources in the Justice Department saying that the number two 521 00:27:35,800 --> 00:27:37,840 Speaker 1: in the d o J is concerned that tenantive deal 522 00:27:38,200 --> 00:27:40,080 Speaker 1: isn't tough enough. And so I think we have to 523 00:27:40,080 --> 00:27:43,160 Speaker 1: be very careful here going forward that we're not allowing 524 00:27:43,560 --> 00:27:46,399 Speaker 1: data flows back into China, because it's not just about 525 00:27:46,840 --> 00:27:51,400 Speaker 1: espionage and foreign influence, but we're also feeding China's AI, 526 00:27:51,680 --> 00:27:53,320 Speaker 1: and AI can use for good or can be use 527 00:27:53,359 --> 00:27:55,440 Speaker 1: for bad, and the p l A and the CCP 528 00:27:55,560 --> 00:27:58,040 Speaker 1: has had a goal of dominating AI. So I'm very 529 00:27:58,080 --> 00:27:59,760 Speaker 1: concerned about US sending data back and the way it's 530 00:27:59,760 --> 00:28:03,400 Speaker 1: gonna crew and make that AI effective for nefarious purposes. 531 00:28:04,920 --> 00:28:06,800 Speaker 1: So the question is how far do you take this? 532 00:28:06,960 --> 00:28:12,200 Speaker 1: Should companies like Meta Alphabet, Apple have employees in China 533 00:28:12,359 --> 00:28:15,600 Speaker 1: in your view at all? Well, Look, I do think 534 00:28:15,640 --> 00:28:18,600 Speaker 1: this is an opportunity here where we need to revisit 535 00:28:18,960 --> 00:28:23,640 Speaker 1: UM these deep corporate ties into China, particularly as UM 536 00:28:23,880 --> 00:28:27,120 Speaker 1: the saber rattles on Taiwan UH coming out of the 537 00:28:27,119 --> 00:28:29,560 Speaker 1: Communist Party confab of last week. I was just in 538 00:28:29,560 --> 00:28:32,680 Speaker 1: Taiwan for two days last week myself, and I think 539 00:28:32,680 --> 00:28:36,119 Speaker 1: it is time to start thinking about diversifying outside of China. 540 00:28:36,280 --> 00:28:38,840 Speaker 1: Up to now, my concern has been focused on individual 541 00:28:38,880 --> 00:28:41,800 Speaker 1: companies and what I call plus factors, meaning it's not 542 00:28:41,880 --> 00:28:43,920 Speaker 1: just that you have tied back into communist China, So 543 00:28:43,960 --> 00:28:46,000 Speaker 1: there's something else there that's concerning. That was the case 544 00:28:46,040 --> 00:28:48,840 Speaker 1: with Halwei with DT, and that's the case with TikTok 545 00:28:48,880 --> 00:28:51,440 Speaker 1: So I'm not ready to make a broader pronouncement more 546 00:28:51,480 --> 00:28:56,960 Speaker 1: generally about companies that are doing business there. Now, we've 547 00:28:57,000 --> 00:28:59,719 Speaker 1: got a mid term election happening in a matter of hours, 548 00:28:59,720 --> 00:29:03,239 Speaker 1: and I'm curious what your hope is for, you know, 549 00:29:03,360 --> 00:29:07,680 Speaker 1: and a new Congress, you know, along with FDC chair 550 00:29:08,040 --> 00:29:12,560 Speaker 1: Lena Kahan, to take action or not on big tech 551 00:29:12,640 --> 00:29:16,720 Speaker 1: over the next couple of years. Well, actually election, you know, obviously, 552 00:29:16,760 --> 00:29:18,080 Speaker 1: I sort of leave it to the American people to 553 00:29:18,120 --> 00:29:21,040 Speaker 1: make their decisions there, particular by the Hatch act Um 554 00:29:21,120 --> 00:29:23,600 Speaker 1: not in a position to make sort of partisan comments there. 555 00:29:23,800 --> 00:29:25,920 Speaker 1: But what I'll say is generally, I do think it's 556 00:29:25,920 --> 00:29:30,200 Speaker 1: important we find some alignment Republicans and Democrats alike on 557 00:29:30,320 --> 00:29:34,280 Speaker 1: addressing you know, outsized abuse of corporate power. And I 558 00:29:34,280 --> 00:29:36,960 Speaker 1: do think we're starting to see more and more bipartisan 559 00:29:37,040 --> 00:29:40,040 Speaker 1: interest in that topic. And I would always look forward 560 00:29:40,080 --> 00:29:42,840 Speaker 1: to find partners on you know, slides of the both 561 00:29:42,880 --> 00:29:45,600 Speaker 1: sides of the political aisle to drive towards that result. 562 00:29:45,640 --> 00:29:47,440 Speaker 1: But again, when it comes to TikTok in particular, in 563 00:29:47,520 --> 00:29:49,600 Speaker 1: my sense is that the tide is is moving out 564 00:29:50,000 --> 00:29:52,239 Speaker 1: on TikTok. And again you see almost every week new 565 00:29:52,320 --> 00:29:55,120 Speaker 1: letters from new bipartisan members of Congress that are focused 566 00:29:55,120 --> 00:29:57,200 Speaker 1: on this issue. What's the latest on the plan to 567 00:29:57,280 --> 00:30:01,200 Speaker 1: ban all Huawei and z t E telecom equipment from 568 00:30:01,240 --> 00:30:03,880 Speaker 1: the US market. Is the SEC going to be voting 569 00:30:03,920 --> 00:30:06,160 Speaker 1: on that soon? You're making really good progress. A couple 570 00:30:06,160 --> 00:30:08,680 Speaker 1: of years ago, we voted to withdraw all future funding 571 00:30:09,000 --> 00:30:11,520 Speaker 1: for wahweyans et equipment and or right now funding the 572 00:30:11,640 --> 00:30:14,440 Speaker 1: ripping and replacing axios. I believe I'll report a couple 573 00:30:14,440 --> 00:30:15,960 Speaker 1: of weeks ago that said that we're about to vote 574 00:30:16,000 --> 00:30:20,640 Speaker 1: at the FEC on denying equipment authorization for those devices, 575 00:30:20,640 --> 00:30:23,680 Speaker 1: which would close what I've described as a wahweih loophole, 576 00:30:23,720 --> 00:30:26,160 Speaker 1: which means up to now, you can't use federal dollars 577 00:30:26,200 --> 00:30:28,200 Speaker 1: or purchase this year, but you can use private dollars 578 00:30:28,240 --> 00:30:30,200 Speaker 1: by the same gear put in the same point in 579 00:30:30,240 --> 00:30:31,680 Speaker 1: your network. And I have long call for us to 580 00:30:31,720 --> 00:30:34,000 Speaker 1: close that loophole. So the ect that activists reporting is 581 00:30:34,080 --> 00:30:36,360 Speaker 1: right that the SEC is moving forward with that boat 582 00:30:36,440 --> 00:30:37,920 Speaker 1: and I don't want to get into the details of 583 00:30:37,960 --> 00:30:40,560 Speaker 1: it um, but suffice to say I'd be very happy 584 00:30:41,280 --> 00:30:45,240 Speaker 1: with that outcome at the FCC and quickly at the FTC. 585 00:30:45,600 --> 00:30:47,560 Speaker 1: What are your thoughts on the actions that Lena con 586 00:30:47,720 --> 00:30:51,280 Speaker 1: has taken so far. You know, look, I think our 587 00:30:51,280 --> 00:30:53,959 Speaker 1: guiding prints will have to be to protect individual liberty. 588 00:30:54,000 --> 00:30:56,360 Speaker 1: We we can have threats to individual liberty from the 589 00:30:56,400 --> 00:30:59,000 Speaker 1: overreach of government, who can also threat to indi votual 590 00:30:59,080 --> 00:31:01,520 Speaker 1: liberty UH from the abuse of corporate power. And we've 591 00:31:01,520 --> 00:31:02,880 Speaker 1: got to find a way here to have it that 592 00:31:03,360 --> 00:31:06,680 Speaker 1: as our guiding star. And I know it's been a 593 00:31:06,720 --> 00:31:08,640 Speaker 1: partisan time at the FTC and they've had a hard 594 00:31:08,640 --> 00:31:12,160 Speaker 1: time agreeing. At the FCC, we've been working to the middle, 595 00:31:12,280 --> 00:31:14,800 Speaker 1: compromising and finding common ground, and I hope that we 596 00:31:14,880 --> 00:31:16,840 Speaker 1: continue to do that at the FCC at least all right, 597 00:31:17,080 --> 00:31:20,640 Speaker 1: FEC Commissioner Brendan Carr, thanks so much for stopping. I 598 00:31:20,680 --> 00:31:24,120 Speaker 1: appreciate it. Meantime, millions of mothers have left their jobs 599 00:31:24,840 --> 00:31:27,440 Speaker 1: as a result of the COVID nineteen pandemic. The cause 600 00:31:27,880 --> 00:31:30,600 Speaker 1: inadequate childcare. That is why Girls Who co found her 601 00:31:30,600 --> 00:31:32,320 Speaker 1: Rest My show Johnny decided to come up with the 602 00:31:32,360 --> 00:31:35,280 Speaker 1: Martial Plan for Moms, and nonprofit that has helped pass 603 00:31:35,800 --> 00:31:38,800 Speaker 1: landmark childcare legislation in New York and is working with 604 00:31:38,880 --> 00:31:43,160 Speaker 1: big companies on employer sponsored childcare, she joins me now 605 00:31:43,280 --> 00:31:45,240 Speaker 1: for more and obviously Rush might have to ask you 606 00:31:45,280 --> 00:31:48,080 Speaker 1: about the mid terms, which we are now hours away from. 607 00:31:48,360 --> 00:31:51,040 Speaker 1: Which races are you paying the closest attention to and 608 00:31:51,160 --> 00:31:54,200 Speaker 1: why all of them? I mean, this election is the 609 00:31:54,240 --> 00:31:57,720 Speaker 1: most important election that women have seen, you know, following 610 00:31:57,720 --> 00:32:02,560 Speaker 1: the Dollas decision, women have essentially become class citizens in America. 611 00:32:02,760 --> 00:32:05,280 Speaker 1: And you know, we have a lot of extremists on 612 00:32:05,320 --> 00:32:07,800 Speaker 1: the ballot, a lot of candidates you know, on the 613 00:32:07,920 --> 00:32:11,320 Speaker 1: right who want to restrict our rights even more. And 614 00:32:11,360 --> 00:32:14,120 Speaker 1: so what happens in Tuesday is going to fundamentally change 615 00:32:14,160 --> 00:32:17,800 Speaker 1: the lives of American women. How concerned are you about misinformation? 616 00:32:17,840 --> 00:32:20,280 Speaker 1: Given I know that you have pointed out the voices 617 00:32:20,360 --> 00:32:25,240 Speaker 1: of women especially have not been heard. I mean, I'm 618 00:32:25,360 --> 00:32:29,040 Speaker 1: very concerned about misinformation, um, and I think it's something 619 00:32:29,080 --> 00:32:31,200 Speaker 1: that it's critical that a lot of my students, for example, 620 00:32:31,240 --> 00:32:33,280 Speaker 1: are are working on. And I think the comment that 621 00:32:33,320 --> 00:32:35,600 Speaker 1: was just made, you know, by the Commissioner and seeing 622 00:32:35,640 --> 00:32:37,960 Speaker 1: what happens you know with Twitter and with Elon must 623 00:32:37,960 --> 00:32:39,920 Speaker 1: taking over Twitter, to make sure that we continue to 624 00:32:40,320 --> 00:32:43,960 Speaker 1: root out disinformation and that everybody has access to fair 625 00:32:43,960 --> 00:32:47,280 Speaker 1: and just and reliable information is critical. That was my 626 00:32:47,360 --> 00:32:51,600 Speaker 1: next question is I'm curious what your take is on 627 00:32:51,640 --> 00:32:54,640 Speaker 1: the direction that Elon Musk has taken Twitter thus far 628 00:32:54,800 --> 00:32:58,960 Speaker 1: and how uh free speech can be balanced with safety 629 00:32:59,000 --> 00:33:04,440 Speaker 1: and security and healthy dialogue. I'm watching it, Emily. You know, 630 00:33:04,520 --> 00:33:07,120 Speaker 1: we know that social media Twitter has been a toxic 631 00:33:07,200 --> 00:33:09,560 Speaker 1: place for women and girls and for people of color, 632 00:33:10,040 --> 00:33:11,680 Speaker 1: and that there's got to be a way to kind 633 00:33:11,680 --> 00:33:14,320 Speaker 1: of moderate content without making people feel like every day 634 00:33:14,320 --> 00:33:15,920 Speaker 1: that they're going to face some amount of abuse or 635 00:33:15,960 --> 00:33:18,440 Speaker 1: we called the name or be you know, showed content 636 00:33:18,480 --> 00:33:20,720 Speaker 1: that's going to be really, you know, toxic for them. 637 00:33:20,800 --> 00:33:23,440 Speaker 1: So I think that again, this is an opportunity to 638 00:33:23,520 --> 00:33:26,080 Speaker 1: do something right and to do something that you know, 639 00:33:26,160 --> 00:33:28,840 Speaker 1: again uplifts people of color and women will see if 640 00:33:28,880 --> 00:33:32,240 Speaker 1: that actually happens. Now. Given your work with the Martial 641 00:33:32,280 --> 00:33:34,640 Speaker 1: Plan for Moms, I'm curious what you're hearing from moms 642 00:33:34,960 --> 00:33:38,200 Speaker 1: and parents right now about their concerns as they had 643 00:33:38,240 --> 00:33:42,600 Speaker 1: into the election. What matters to them right now and why. Look, 644 00:33:42,640 --> 00:33:44,360 Speaker 1: I mean, I think Republicans have made it seem that 645 00:33:44,400 --> 00:33:46,360 Speaker 1: the biggest concern you should have is the cost of 646 00:33:46,400 --> 00:33:49,320 Speaker 1: gas or the cost of cereal. But if you talk 647 00:33:49,360 --> 00:33:52,040 Speaker 1: to a mom, she'll tell you my biggest concern is 648 00:33:52,040 --> 00:33:57,480 Speaker 1: the cost of childcare. Parents have gone into debt because 649 00:33:57,480 --> 00:34:00,480 Speaker 1: of the cost of childcare the child The cost of 650 00:34:00,520 --> 00:34:04,160 Speaker 1: childcare is outpacing the cost of inflation. It is literally 651 00:34:04,200 --> 00:34:08,520 Speaker 1: the most expensive line item for families and the only 652 00:34:08,640 --> 00:34:11,520 Speaker 1: party that's tried to do something about it is Democrats, 653 00:34:11,680 --> 00:34:14,400 Speaker 1: you know, through the Bill Back Better Bill. So you know, 654 00:34:14,520 --> 00:34:17,000 Speaker 1: mom's got to be paying attention. Mom's got to be 655 00:34:17,040 --> 00:34:19,400 Speaker 1: voting on Tuesday, and you know, we've got to be 656 00:34:19,480 --> 00:34:21,719 Speaker 1: making sure that we're pushing an agenda that is going 657 00:34:21,800 --> 00:34:25,040 Speaker 1: to put families first. And if we want to say 658 00:34:25,080 --> 00:34:27,560 Speaker 1: that women in the workforce are not just a nice 659 00:34:27,600 --> 00:34:31,040 Speaker 1: to have but a must have, then we have to 660 00:34:31,080 --> 00:34:33,239 Speaker 1: make sure that we're providing affordable childcare. And that's what 661 00:34:33,280 --> 00:34:35,600 Speaker 1: we're doing at the Marsha Lamber Moms with our National 662 00:34:35,600 --> 00:34:37,759 Speaker 1: Business Colorship for Childcare. We can't wait for government to 663 00:34:37,760 --> 00:34:40,400 Speaker 1: do the right thing. We can push them to, but 664 00:34:40,480 --> 00:34:43,600 Speaker 1: in the meantime we have to advocate for subsidizing childcare 665 00:34:43,640 --> 00:34:47,680 Speaker 1: in the workforce. You recently went toe to toe with 666 00:34:47,719 --> 00:34:52,400 Speaker 1: the Parents Rights group that banned girls who code books 667 00:34:52,800 --> 00:34:55,319 Speaker 1: and I'm curious if you can share some context on 668 00:34:55,360 --> 00:34:57,520 Speaker 1: that and what do you think it tells us about 669 00:34:57,560 --> 00:35:00,879 Speaker 1: the state of America. I think it tells us that 670 00:35:00,880 --> 00:35:02,839 Speaker 1: that they were coming for our bodies and now they're 671 00:35:02,840 --> 00:35:05,040 Speaker 1: coming for our minds. I mean, Emily, I woke up 672 00:35:05,080 --> 00:35:07,759 Speaker 1: to a headline that girls who code books have been 673 00:35:07,760 --> 00:35:11,040 Speaker 1: banned in Pennsylvania. And it wasn't just girls who code books, 674 00:35:11,400 --> 00:35:13,799 Speaker 1: it was books about Grace Hopper, you know, books that 675 00:35:13,800 --> 00:35:16,600 Speaker 1: we're gonna get girls an opportunity, girls of color, an 676 00:35:16,600 --> 00:35:19,960 Speaker 1: opportunity to be everything in anything. You know, what is 677 00:35:20,000 --> 00:35:22,360 Speaker 1: happening in schools right and now what is happening in 678 00:35:22,480 --> 00:35:24,520 Speaker 1: terms of the school board fights, of the culture wars 679 00:35:25,040 --> 00:35:28,839 Speaker 1: is critical and we have to start paying attention again. 680 00:35:28,880 --> 00:35:31,000 Speaker 1: I cannot stress this enough. You know, we've entered this 681 00:35:31,040 --> 00:35:33,359 Speaker 1: period of force birth where our reproductive rights have been 682 00:35:33,400 --> 00:35:36,520 Speaker 1: taken away, and I am shocked to see what they 683 00:35:36,520 --> 00:35:39,680 Speaker 1: are trying to take away from our girls. And every 684 00:35:39,680 --> 00:35:43,240 Speaker 1: single parent who cares about their girls having a chance 685 00:35:43,280 --> 00:35:45,719 Speaker 1: to be an engineer, to be a doctor, to be 686 00:35:45,800 --> 00:35:48,600 Speaker 1: a president needs to be informed about what's happening in 687 00:35:48,640 --> 00:35:52,440 Speaker 1: the schools because it is shocking. It's frightening and it's 688 00:35:52,480 --> 00:35:57,480 Speaker 1: scary how much progress is last quick question, is actually 689 00:35:57,520 --> 00:36:01,000 Speaker 1: happening in the schools? You know, you founded this company 690 00:36:01,160 --> 00:36:04,760 Speaker 1: to get more girls to learn how to code. How 691 00:36:05,400 --> 00:36:10,160 Speaker 1: optimistic are you about that? You know, truly happening across 692 00:36:10,200 --> 00:36:13,319 Speaker 1: the board? You listen, Emily Covid was devastating, you know, 693 00:36:13,360 --> 00:36:16,200 Speaker 1: for kids, especially for kids from underserved communities. I saw 694 00:36:16,280 --> 00:36:17,960 Speaker 1: so many of my students who are on their way 695 00:36:17,960 --> 00:36:20,560 Speaker 1: to learn in computer science had to drop out of 696 00:36:20,600 --> 00:36:22,640 Speaker 1: college or not go to college because their moms were 697 00:36:22,680 --> 00:36:24,960 Speaker 1: essential workers and they had to take care of their siblings. 698 00:36:25,520 --> 00:36:28,200 Speaker 1: That is why it's so critical that we fix the 699 00:36:28,360 --> 00:36:31,480 Speaker 1: broken structure of care. You know. The second thing is 700 00:36:31,480 --> 00:36:33,520 Speaker 1: is that we're you know, we have got to continue 701 00:36:33,560 --> 00:36:35,879 Speaker 1: to invest in public school education. I'm sure you saw 702 00:36:36,239 --> 00:36:38,759 Speaker 1: the New York Times article about how you know the 703 00:36:38,960 --> 00:36:42,480 Speaker 1: the again, you know, the the math and science. You know, 704 00:36:42,560 --> 00:36:44,719 Speaker 1: rates of what our kids are learning in schools have 705 00:36:44,880 --> 00:36:47,319 Speaker 1: diminished and decreased. I know that's happening. You know, we 706 00:36:47,360 --> 00:36:49,919 Speaker 1: had ten thousand girls who code clubs at the start 707 00:36:49,920 --> 00:36:52,160 Speaker 1: of the pandemic, and we are now inching back to 708 00:36:52,200 --> 00:36:55,280 Speaker 1: where we were before. And so when teachers are exhausted 709 00:36:55,320 --> 00:36:57,799 Speaker 1: and tired when they're not getting paid adequately, they're not 710 00:36:57,880 --> 00:37:01,360 Speaker 1: volunteering to teach a coding club, and and and again, 711 00:37:01,400 --> 00:37:03,920 Speaker 1: who can blame them? And so we got to have 712 00:37:04,040 --> 00:37:07,040 Speaker 1: to continue to public school education and make sure that 713 00:37:07,040 --> 00:37:09,440 Speaker 1: our kids have access to opportunity in the jobs of 714 00:37:09,480 --> 00:37:14,200 Speaker 1: the future, which include coding. Rest Michel Johnny, thank you 715 00:37:14,239 --> 00:37:17,680 Speaker 1: for your advocacy for girls, girls who co founder appreciate 716 00:37:17,719 --> 00:37:21,400 Speaker 1: you stopping by. And that doesn't For this edition of 717 00:37:21,520 --> 00:37:25,160 Speaker 1: Bloomberg Technology coming up on election Day here in the 718 00:37:25,239 --> 00:37:28,439 Speaker 1: United States, We've got an all star lineup including LIFT 719 00:37:28,480 --> 00:37:31,080 Speaker 1: president John Zimmer will be talking about Prop thirty and 720 00:37:31,120 --> 00:37:34,680 Speaker 1: the future of the gig economy and so many other 721 00:37:35,080 --> 00:37:37,799 Speaker 1: important guests. And don't forget it to check out our 722 00:37:37,840 --> 00:37:41,080 Speaker 1: podcast wherever you get your podcasts. This is Bloomberg