1 00:00:03,200 --> 00:00:06,480 Speaker 1: From the heart of where innovation, money and power COLLI 2 00:00:07,320 --> 00:00:11,840 Speaker 1: in Silicon Valley and beyond. This is Bloomberg Technology with 3 00:00:11,880 --> 00:00:28,080 Speaker 1: Emily Jay. I'm Emily Jack in San Francisco, and this 4 00:00:28,120 --> 00:00:31,080 Speaker 1: is Bloomberg Technology. Coming up in the next hour, Snaps 5 00:00:31,240 --> 00:00:35,800 Speaker 1: sell off shares plummeting as much on a disappointing forecast, 6 00:00:36,159 --> 00:00:39,880 Speaker 1: catalyzing fresh turmoil in tech stocks. How much lower can 7 00:00:39,920 --> 00:00:44,520 Speaker 1: they go? We will discuss plus Twitter's annual shareholder meeting 8 00:00:44,600 --> 00:00:48,360 Speaker 1: coming up Wednesday, with Elon Musk still pressing pause on 9 00:00:48,479 --> 00:00:51,800 Speaker 1: a deal he hasn't tweeted about it recently either, will 10 00:00:51,840 --> 00:00:57,240 Speaker 1: preview what to expect. And California's landmark law requiring corporate 11 00:00:57,240 --> 00:01:01,160 Speaker 1: boards to include women is ruled un constitutional. We're going 12 00:01:01,200 --> 00:01:04,800 Speaker 1: to speak with California First partner Jennifer Siebel Newsom in 13 00:01:04,840 --> 00:01:07,720 Speaker 1: an exclusive interview, her take on why we need more 14 00:01:07,760 --> 00:01:11,240 Speaker 1: parity in the boardroom and the research that backs it up. 15 00:01:11,600 --> 00:01:12,920 Speaker 1: We will get to all of that in a moment. 16 00:01:12,959 --> 00:01:15,720 Speaker 1: The first stocks pairing their losses as a rebound in 17 00:01:15,920 --> 00:01:19,440 Speaker 1: defensive companies offset a slide, and tech shares triggered by 18 00:01:19,520 --> 00:01:22,560 Speaker 1: that profit warning from Snap shares plunging below the I 19 00:01:22,640 --> 00:01:26,119 Speaker 1: p O price after cutting their revenue, profit forecast, taking 20 00:01:26,160 --> 00:01:29,240 Speaker 1: other social media stocks and take more broadly down with it. 21 00:01:29,520 --> 00:01:33,920 Speaker 1: Jasmine Edinburgh of Insider Intelligence joins us now with more So, Jasmine, 22 00:01:33,959 --> 00:01:36,120 Speaker 1: just how bad does it get for Snap and the 23 00:01:36,200 --> 00:01:39,119 Speaker 1: rest of social media? Well, we will be hard pressed 24 00:01:39,200 --> 00:01:42,400 Speaker 1: to find any social platform that isn't struggling. In Q two. 25 00:01:42,720 --> 00:01:44,880 Speaker 1: The headwinds that we were warned about in Q one 26 00:01:44,920 --> 00:01:48,000 Speaker 1: have really turned into these gale force winds, and Snap 27 00:01:48,120 --> 00:01:50,880 Speaker 1: along with Meta, are right in the path of this 28 00:01:50,960 --> 00:01:54,160 Speaker 1: storm that is brewing now. Snap of course, is blaming 29 00:01:54,200 --> 00:01:57,480 Speaker 1: macro economic conditions, and while that is certainly part of it, 30 00:01:57,840 --> 00:02:00,800 Speaker 1: the reality is is that there is no shortage of 31 00:02:00,920 --> 00:02:04,240 Speaker 1: challenges right now for the social media platforms, whether that's 32 00:02:04,240 --> 00:02:07,480 Speaker 1: to do with ad targeting and online privacy, whether that 33 00:02:07,720 --> 00:02:10,760 Speaker 1: is the war in Ukraine that is making advertisers wary 34 00:02:10,800 --> 00:02:13,960 Speaker 1: of spending on social media, or whether that's the shift 35 00:02:14,080 --> 00:02:17,360 Speaker 1: in social media usage that is really leaving these established 36 00:02:17,400 --> 00:02:20,800 Speaker 1: players playing catch up to a newcomer called TikTok. So 37 00:02:20,919 --> 00:02:23,440 Speaker 1: would you say TikTok is the one platform that's winning 38 00:02:23,560 --> 00:02:26,120 Speaker 1: or are these dollars just going away across the board? 39 00:02:26,280 --> 00:02:28,760 Speaker 1: You know, going back to this storm analogy, if there 40 00:02:28,880 --> 00:02:31,000 Speaker 1: is one platform that is in the eye of the storm, 41 00:02:31,040 --> 00:02:33,320 Speaker 1: I would say that that is TikTok. We've actually just 42 00:02:33,480 --> 00:02:36,800 Speaker 1: released a new forecast at Insider Intelligence that shows that 43 00:02:36,840 --> 00:02:40,360 Speaker 1: TikTok's AD revenues will more than double this year and 44 00:02:40,400 --> 00:02:43,760 Speaker 1: in two it's ad revenues in the US is going 45 00:02:43,800 --> 00:02:47,480 Speaker 1: to be more than Snapchat and Twitters combined. Would you 46 00:02:47,480 --> 00:02:50,320 Speaker 1: say that this extends to not just Facebook and Twitter, 47 00:02:50,440 --> 00:02:53,519 Speaker 1: but also YouTube for example? Will we continue to see 48 00:02:53,560 --> 00:02:56,720 Speaker 1: what happened with YouTube last quarter again this quarter? Yeah, 49 00:02:56,760 --> 00:03:01,000 Speaker 1: you know, these struggles really extend across all of social media. Now, 50 00:03:01,040 --> 00:03:04,200 Speaker 1: YouTube is a major competitor to TikTok as well. Um, 51 00:03:04,240 --> 00:03:07,200 Speaker 1: it's really Shorts of course, which is it's TikTok clone. 52 00:03:07,440 --> 00:03:09,880 Speaker 1: But we're seeing that even you know, time that would 53 00:03:09,880 --> 00:03:12,600 Speaker 1: be spent on on YouTube, not within shorts, is going 54 00:03:12,639 --> 00:03:15,959 Speaker 1: towards TikTok. So there's definitely some competition there as well. 55 00:03:16,919 --> 00:03:19,280 Speaker 1: So yeah, I heard one of the skeptics today saying, look, 56 00:03:19,280 --> 00:03:21,840 Speaker 1: why should I be worried about all of tech or 57 00:03:21,840 --> 00:03:24,600 Speaker 1: really the rest of the markets just because Snap missed 58 00:03:24,600 --> 00:03:28,160 Speaker 1: its guidance. How would you respond to that well, you know, 59 00:03:28,280 --> 00:03:30,679 Speaker 1: it is a clear signal within the market that there 60 00:03:30,720 --> 00:03:33,639 Speaker 1: are these real issues that these social platforms are challenging, 61 00:03:33,800 --> 00:03:36,680 Speaker 1: are are are struggling with. You know, Snap is certainly 62 00:03:36,720 --> 00:03:38,680 Speaker 1: not the only one that has to grapple with all 63 00:03:38,720 --> 00:03:41,120 Speaker 1: of these problems. A lot of the larger ad players, 64 00:03:41,160 --> 00:03:44,240 Speaker 1: including Meta, are also dealing with the same ones. And 65 00:03:44,280 --> 00:03:48,200 Speaker 1: if it's impacting a platform like Snap, which has performed 66 00:03:48,280 --> 00:03:50,840 Speaker 1: relatively well over the past couple of quarters, you know, 67 00:03:51,000 --> 00:03:53,560 Speaker 1: it does show some warning signs for the rest of 68 00:03:53,600 --> 00:03:57,160 Speaker 1: these social platforms as well. Speaking of the rest of 69 00:03:57,160 --> 00:04:00,520 Speaker 1: these social platforms, we're looking ahead to Twitter's annual shareholder 70 00:04:00,560 --> 00:04:05,720 Speaker 1: meeting coming up tomorrow. Twitter stuck between Snap and Elon 71 00:04:05,840 --> 00:04:10,000 Speaker 1: Musk and this broader market meltdown. What are you expecting 72 00:04:10,000 --> 00:04:12,560 Speaker 1: to happen at this meeting, Well, I think it will 73 00:04:12,560 --> 00:04:15,120 Speaker 1: be a pretty tense meeting, you know. I mean the 74 00:04:15,120 --> 00:04:17,200 Speaker 1: big two big topics, of course, are going to be 75 00:04:17,360 --> 00:04:20,200 Speaker 1: Musk as well as the macroeconomic conditions that are really 76 00:04:20,240 --> 00:04:23,039 Speaker 1: putting pressure on the social media platforms. Now, these two 77 00:04:23,040 --> 00:04:26,440 Speaker 1: things are separate, but they're also related. The more that 78 00:04:26,520 --> 00:04:29,760 Speaker 1: Twitter takes a hit, the more fuel Musk has to 79 00:04:29,960 --> 00:04:33,480 Speaker 1: perhaps renegotiate his position, even walk away from the deal, 80 00:04:33,600 --> 00:04:36,080 Speaker 1: and if he does that, he will take his lofty 81 00:04:36,120 --> 00:04:40,120 Speaker 1: plans of making Twitter less reliant on advertising with him. 82 00:04:40,160 --> 00:04:42,320 Speaker 1: And that's going to leave Twitter in pretty much the 83 00:04:42,360 --> 00:04:44,680 Speaker 1: same position that it has been for a long time now, 84 00:04:44,720 --> 00:04:47,640 Speaker 1: which is under performance, and it's going to be competing 85 00:04:47,720 --> 00:04:50,920 Speaker 1: with all of these other social platforms, many of which 86 00:04:51,000 --> 00:04:54,960 Speaker 1: have um larger ad businesses um and in an incredibly 87 00:04:55,000 --> 00:04:59,440 Speaker 1: turbulent market. All right, Jasmine Enberg insider intelligence. Jasmin always 88 00:04:59,480 --> 00:05:03,080 Speaker 1: appreciate how your thoughts here on the show. Thank you. Meantime, 89 00:05:03,120 --> 00:05:06,479 Speaker 1: another story, we continue to watch Elon Musk's other company, Tesla, 90 00:05:06,680 --> 00:05:09,920 Speaker 1: isolating thousands of workers in China to make sure they 91 00:05:09,920 --> 00:05:12,760 Speaker 1: are COVID free. This is part of a large scale 92 00:05:12,760 --> 00:05:15,640 Speaker 1: plan by the electric car maker to ramp up production 93 00:05:16,040 --> 00:05:19,320 Speaker 1: at its planet in Shanghai after weeks of lockdown. These 94 00:05:19,320 --> 00:05:22,320 Speaker 1: workers are being housed in unused factories and an old 95 00:05:22,400 --> 00:05:25,280 Speaker 1: military camp, and they'll be allowed to join other workers 96 00:05:25,360 --> 00:05:28,880 Speaker 1: inside the production bubble after a two to three day 97 00:05:28,960 --> 00:05:41,800 Speaker 1: quarantine in accordance with government orders. Twitter's annual meeting kicks 98 00:05:41,800 --> 00:05:44,320 Speaker 1: off Wednesday, and the company continues to find itself and 99 00:05:44,400 --> 00:05:46,640 Speaker 1: quite the match. On one side of the ring stands 100 00:05:46,640 --> 00:05:49,240 Speaker 1: Elon Musk, which with his offer to buy the platform 101 00:05:49,360 --> 00:05:52,360 Speaker 1: on pause while he investigates the number of fake accounts. 102 00:05:52,720 --> 00:05:55,080 Speaker 1: On the other, a tech market meltdown in the wake 103 00:05:55,160 --> 00:05:58,440 Speaker 1: of Snap cutting its forecast to talk about what could 104 00:05:58,440 --> 00:06:01,440 Speaker 1: come out of tomorrow's meeting. Joining us now Jason Goldman, 105 00:06:01,480 --> 00:06:03,920 Speaker 1: one of the founding members of Twitter and former White 106 00:06:03,920 --> 00:06:07,840 Speaker 1: House Chief Digital Officer under President Obama. Jason, I'm sure 107 00:06:07,880 --> 00:06:10,640 Speaker 1: you've been through a few Twitter annual meetings and this 108 00:06:10,839 --> 00:06:15,480 Speaker 1: will surely be unlike any other. What are you expecting. Yeah, 109 00:06:15,520 --> 00:06:19,159 Speaker 1: this sort of feels like the Ragnarok of Twitter annual meetings, 110 00:06:19,160 --> 00:06:22,840 Speaker 1: where there's there's only sort of one option that shareholders 111 00:06:22,839 --> 00:06:24,880 Speaker 1: are looking for, which is to know that the deal 112 00:06:25,040 --> 00:06:27,400 Speaker 1: is going to go through, because now the deal price 113 00:06:27,440 --> 00:06:29,720 Speaker 1: looks like this amazing deal and the rest of the 114 00:06:29,760 --> 00:06:32,280 Speaker 1: world has melted down, and I think the questions are 115 00:06:32,279 --> 00:06:34,520 Speaker 1: just going to be can I get my money now? 116 00:06:35,400 --> 00:06:40,080 Speaker 1: And can Twitter board really answer that question? I think 117 00:06:40,120 --> 00:06:42,240 Speaker 1: the most important answer they can assert is that there's 118 00:06:42,279 --> 00:06:44,120 Speaker 1: no such thing as the deal being on hold that 119 00:06:44,160 --> 00:06:45,880 Speaker 1: they and this is what the g c F just 120 00:06:46,000 --> 00:06:48,719 Speaker 1: said in a in a Twitter meeting, the contents of 121 00:06:48,720 --> 00:06:50,880 Speaker 1: which was leaked that there's no such thing as the 122 00:06:50,880 --> 00:06:53,000 Speaker 1: deal being on hold. We have a deal for the 123 00:06:53,000 --> 00:06:55,039 Speaker 1: price that we agreed to, and we are going We 124 00:06:55,080 --> 00:06:58,799 Speaker 1: are committed to executing this deal, and we will force 125 00:06:58,880 --> 00:07:01,279 Speaker 1: compliance and execution of this deal if we have to. 126 00:07:02,120 --> 00:07:06,080 Speaker 1: So is Elon Musk just blessing? Well, I don't know. 127 00:07:06,120 --> 00:07:08,159 Speaker 1: I think it's interesting that he's been quiet on Twitter 128 00:07:08,240 --> 00:07:10,920 Speaker 1: for the last little while about this. I maybe, you know, 129 00:07:11,000 --> 00:07:14,160 Speaker 1: losing seventy billion dollars of your own net worth by 130 00:07:14,640 --> 00:07:17,600 Speaker 1: by posting about Twitter proved to be even a little 131 00:07:17,600 --> 00:07:20,480 Speaker 1: expensive for the world's richest man. Or he just figured 132 00:07:20,520 --> 00:07:22,400 Speaker 1: he was just creating more work for his lawyers in 133 00:07:22,440 --> 00:07:25,480 Speaker 1: the inevitable litigation that comes out of this. But I 134 00:07:26,040 --> 00:07:29,120 Speaker 1: think that he doesn't. I think sometimes folks think that 135 00:07:29,160 --> 00:07:32,440 Speaker 1: there's these you know, plans within plans or faints within faints, 136 00:07:32,440 --> 00:07:35,080 Speaker 1: and there's this five dimensional chess that people are playing. 137 00:07:35,280 --> 00:07:38,080 Speaker 1: And I really think that Ellen realized that a lot 138 00:07:38,120 --> 00:07:40,520 Speaker 1: of his argument about why he was buying the company 139 00:07:40,600 --> 00:07:43,080 Speaker 1: just wasn't holding water, and he was taking heat from 140 00:07:43,160 --> 00:07:45,320 Speaker 1: so many sides that he realized it would maybe just 141 00:07:45,320 --> 00:07:47,440 Speaker 1: be better to be a little quiet about this uh 142 00:07:47,480 --> 00:07:50,120 Speaker 1: and hope for a better position later. We've also learned 143 00:07:50,160 --> 00:07:52,480 Speaker 1: more details about just how this deal came about, How 144 00:07:52,520 --> 00:07:55,600 Speaker 1: it started with Ellen talking to Jack directly, then became 145 00:07:55,640 --> 00:07:59,120 Speaker 1: a discussion about him joining the board fairly quickly. What 146 00:07:59,200 --> 00:08:03,280 Speaker 1: do you find most significant about the timeline? I mean, 147 00:08:03,320 --> 00:08:05,800 Speaker 1: this is all from Twitter's proxy filing. This isn't based 148 00:08:05,800 --> 00:08:08,400 Speaker 1: on internal reporting or any sort of confidential sources. This 149 00:08:08,440 --> 00:08:12,240 Speaker 1: is according to Twitter, Twitter's own executives and board and lawyers. 150 00:08:12,280 --> 00:08:14,440 Speaker 1: What happened, and what happened according to them, was that 151 00:08:14,520 --> 00:08:17,600 Speaker 1: Jack and Ellen initiate a conversation on March twenty six 152 00:08:17,720 --> 00:08:20,720 Speaker 1: to pursue a strategy of Ellen says I'm interested in 153 00:08:20,760 --> 00:08:23,680 Speaker 1: buying some shares. I wanna uh, and Jack says, okay, 154 00:08:23,840 --> 00:08:25,440 Speaker 1: let's turn it over to the board and we can 155 00:08:25,480 --> 00:08:28,080 Speaker 1: see about getting you on the board. He's puts them 156 00:08:28,080 --> 00:08:31,720 Speaker 1: in conversation with Parrague and with Brett Taylor, the hand 157 00:08:31,720 --> 00:08:33,439 Speaker 1: picked folks that Jack has said is going to lead 158 00:08:33,440 --> 00:08:36,120 Speaker 1: the company to the next level of execution, and they 159 00:08:36,200 --> 00:08:39,439 Speaker 1: agree to a standstill provision that prevents Ellen for acquiring 160 00:08:39,440 --> 00:08:42,319 Speaker 1: more shares, and they agree to put Ellen on the board. 161 00:08:42,320 --> 00:08:46,320 Speaker 1: They execute this agreement with Ellen on the fourth of April. 162 00:08:46,559 --> 00:08:49,040 Speaker 1: The next day, on the fifth of April, they announced 163 00:08:49,040 --> 00:08:52,360 Speaker 1: this deal. The very same day, Jack re enters the 164 00:08:52,400 --> 00:08:55,560 Speaker 1: picture with Ellen and has a conversation with him in which, 165 00:08:55,600 --> 00:08:57,800 Speaker 1: according to the filing, he shared his personal view that 166 00:08:57,800 --> 00:09:00,679 Speaker 1: Twitter would be better able to focus on execution as 167 00:09:00,679 --> 00:09:03,199 Speaker 1: a private company, and then the deal is completely off 168 00:09:03,240 --> 00:09:04,920 Speaker 1: to put Ellen on the board, and Ellen says he 169 00:09:04,960 --> 00:09:06,800 Speaker 1: wants to take it to be a private company. So 170 00:09:06,880 --> 00:09:10,240 Speaker 1: that that, to me is just a clear backstabbing of 171 00:09:10,280 --> 00:09:13,640 Speaker 1: the board by the founder when they had a deal 172 00:09:13,679 --> 00:09:16,880 Speaker 1: in hand to come to a standstill. So do you 173 00:09:16,920 --> 00:09:20,640 Speaker 1: think there should be any consequences to that if you 174 00:09:20,760 --> 00:09:26,320 Speaker 1: believe that, as you're saying Jack backstabbed the board, what 175 00:09:26,400 --> 00:09:28,080 Speaker 1: I'm saying is that we need to look at we 176 00:09:28,120 --> 00:09:29,840 Speaker 1: need to look at the comments that Jack has made 177 00:09:29,840 --> 00:09:32,600 Speaker 1: here previously. He's always been committed to this notion of 178 00:09:32,600 --> 00:09:35,520 Speaker 1: Twitter should exist as a protocol and not a platform 179 00:09:35,600 --> 00:09:37,480 Speaker 1: or a company, and that he's also said later that 180 00:09:37,520 --> 00:09:39,520 Speaker 1: the board is the is the greatest dysfunction in the 181 00:09:39,559 --> 00:09:41,920 Speaker 1: history of the company, and that there shouldn't be a CEO. 182 00:09:42,280 --> 00:09:45,160 Speaker 1: But somehow he convinced himself that he's going to turn 183 00:09:45,280 --> 00:09:48,160 Speaker 1: over this company to the world's richest man as a 184 00:09:48,200 --> 00:09:52,839 Speaker 1: way of achieving this glorious decentralized transition to a protocol 185 00:09:53,280 --> 00:09:55,480 Speaker 1: that to me, that to me just doesn't make a 186 00:09:55,520 --> 00:09:58,280 Speaker 1: lot of sense. And there's nothing that Ellen has said 187 00:09:58,480 --> 00:10:01,640 Speaker 1: that shows that he's committed to Protocol Future. In fact, 188 00:10:01,679 --> 00:10:04,920 Speaker 1: he published this fairly ridiculous business plan that shows the 189 00:10:05,000 --> 00:10:06,720 Speaker 1: type of product that he wants to build on the 190 00:10:06,760 --> 00:10:08,840 Speaker 1: other side of this acquisition. And so I think the 191 00:10:08,920 --> 00:10:10,480 Speaker 1: questions that I would ask if I were at the 192 00:10:10,480 --> 00:10:13,280 Speaker 1: shareholder meeting is what was really going on in those 193 00:10:13,280 --> 00:10:16,280 Speaker 1: conversations between Ellen and Jack and Ellen and the board, 194 00:10:16,320 --> 00:10:19,480 Speaker 1: because I think that really affects the shareholder value here. Now, 195 00:10:19,600 --> 00:10:22,120 Speaker 1: last time you joined us, you said you felt that 196 00:10:22,160 --> 00:10:25,280 Speaker 1: Twitter faced a not good outcome either way. Do you 197 00:10:25,320 --> 00:10:29,280 Speaker 1: still believe that, given that the price that Ellen and 198 00:10:29,440 --> 00:10:31,600 Speaker 1: Twitter agreed on is actually much higher than the price 199 00:10:31,600 --> 00:10:34,000 Speaker 1: at which Twitter is trading at today, it would be 200 00:10:34,000 --> 00:10:37,120 Speaker 1: a great outcome for shareholders of Twitter. That's that's undisputed, 201 00:10:37,160 --> 00:10:38,960 Speaker 1: And like you know, you can't. I thought Jasmine did 202 00:10:38,960 --> 00:10:41,120 Speaker 1: a great job table setting sort of the vibe that's 203 00:10:41,160 --> 00:10:43,280 Speaker 1: out here right now in the valley in terms of 204 00:10:43,320 --> 00:10:46,319 Speaker 1: what we're headed into. It's very much a two thousand 205 00:10:46,480 --> 00:10:50,240 Speaker 1: dot bust feeling in the air. And you know, graybeards 206 00:10:50,280 --> 00:10:53,920 Speaker 1: like myself are sort of counseling younger folks talking about 207 00:10:53,960 --> 00:10:56,160 Speaker 1: the last bust as though it was the dust bowl 208 00:10:56,240 --> 00:10:58,560 Speaker 1: or something, and you know, like when we didn't have crawdad, 209 00:10:58,640 --> 00:11:00,880 Speaker 1: we ate sand and here's how survive and all this 210 00:11:00,960 --> 00:11:03,480 Speaker 1: like sort of received wisdom from the last of the 211 00:11:03,559 --> 00:11:05,720 Speaker 1: last bus. And so there's a lot of there's a 212 00:11:05,720 --> 00:11:08,120 Speaker 1: lot of feeling that this is would be a great 213 00:11:08,280 --> 00:11:11,440 Speaker 1: outcome for shareholders. It's, however, not a great outcome for 214 00:11:11,480 --> 00:11:14,440 Speaker 1: the product. It's not a great outcome for employees. So 215 00:11:14,559 --> 00:11:16,880 Speaker 1: because Ellen's plans for what he would do with it 216 00:11:16,920 --> 00:11:19,160 Speaker 1: have proven to be so un serious that he's just 217 00:11:19,200 --> 00:11:22,240 Speaker 1: simply shut up about them on Twitter altogether. How worried 218 00:11:22,240 --> 00:11:24,800 Speaker 1: about are you about the future of social media in general? 219 00:11:24,920 --> 00:11:27,439 Speaker 1: Given what we just saw with Snap and what Jasmine 220 00:11:27,480 --> 00:11:30,319 Speaker 1: had to say about slowing user growth, Is that coming 221 00:11:30,920 --> 00:11:33,720 Speaker 1: for Twitter? Yes? I I think that's coming. I think 222 00:11:33,760 --> 00:11:36,360 Speaker 1: that is a real macroeconomic effect, and I think there 223 00:11:36,520 --> 00:11:39,679 Speaker 1: is some validity to the point that the social media 224 00:11:39,720 --> 00:11:42,040 Speaker 1: moment that we've had for the last fifteen years is 225 00:11:42,080 --> 00:11:44,520 Speaker 1: reaching some sort of endpoint, particularly in terms of how 226 00:11:44,520 --> 00:11:46,680 Speaker 1: it's valued by the stock market, but maybe even just 227 00:11:46,760 --> 00:11:49,680 Speaker 1: more generally in terms of what users want, and maybe 228 00:11:49,720 --> 00:11:53,080 Speaker 1: folks migrate instead, and instead of being in these arenas 229 00:11:53,080 --> 00:11:55,760 Speaker 1: of public combat where you have to contend with you know, 230 00:11:55,840 --> 00:11:58,240 Speaker 1: just everyone all at once, maybe folks are looking for 231 00:11:58,360 --> 00:12:01,439 Speaker 1: more private experiences, are semi public experiences, and maybe there's 232 00:12:01,480 --> 00:12:04,520 Speaker 1: a new evolution of social media to come. As as 233 00:12:04,559 --> 00:12:07,800 Speaker 1: someone who's not a shareholder and not employee, this is 234 00:12:07,800 --> 00:12:11,439 Speaker 1: actually somewhat exciting to me because I think we've been 235 00:12:11,440 --> 00:12:14,480 Speaker 1: in a frozen moment for social media and user experience 236 00:12:14,520 --> 00:12:17,239 Speaker 1: and it would be great to see some new experiences 237 00:12:17,320 --> 00:12:19,320 Speaker 1: come out of this. And as we know, a lot 238 00:12:19,360 --> 00:12:22,400 Speaker 1: of the best companies have been built during these downturns 239 00:12:22,400 --> 00:12:25,120 Speaker 1: have been built in the wake of these big corrections, 240 00:12:25,120 --> 00:12:27,160 Speaker 1: so that is a potential upside to all of this. 241 00:12:27,720 --> 00:12:29,400 Speaker 1: All right, well, we will be watching as it all 242 00:12:29,440 --> 00:12:32,920 Speaker 1: goes down tomorrow at the meeting. Jason Goldman, one of 243 00:12:32,960 --> 00:12:35,680 Speaker 1: the founding members of Twitter, former White House Chief Digital Officer, 244 00:12:35,679 --> 00:12:38,760 Speaker 1: are always great to have your colorful metaphors here on 245 00:12:38,800 --> 00:12:43,240 Speaker 1: the show, Jason, thank you. Meantime, Walmart and its partner 246 00:12:43,440 --> 00:12:46,680 Speaker 1: drone Up plan to expand their drone delivery hubs to 247 00:12:46,840 --> 00:12:48,880 Speaker 1: six states by the end of the year. The idea 248 00:12:49,080 --> 00:12:51,880 Speaker 1: is that you can have anything you order, from toothpaste, 249 00:12:52,000 --> 00:12:54,640 Speaker 1: diapers to hot dog buns delivered for three dollars and 250 00:12:55,280 --> 00:12:58,000 Speaker 1: cents as long as it's under ten pounds. Still, there 251 00:12:58,000 --> 00:13:01,800 Speaker 1: are big regulatory hurdles. Fa A rules to clear such 252 00:13:01,880 --> 00:13:06,400 Speaker 1: deliveries have yet to be written. Coming up, Zoom is 253 00:13:06,480 --> 00:13:10,800 Speaker 1: showing signs it can turn its pandemic boom into post 254 00:13:10,960 --> 00:13:15,480 Speaker 1: pandemic growth. We'll talk to the company's CFO, Kelly Steckelberg. Next. 255 00:13:15,640 --> 00:13:31,720 Speaker 1: This is Gloomberg, a rare bright spot in the markets today, Zoom, 256 00:13:31,720 --> 00:13:35,079 Speaker 1: which reported progress on customer growth. The video conferencing giant 257 00:13:35,080 --> 00:13:37,720 Speaker 1: projecting revenue will increase about ten percent in the current 258 00:13:37,800 --> 00:13:41,160 Speaker 1: current period, better than analysis estimates, but still see its 259 00:13:41,400 --> 00:13:45,840 Speaker 1: slowest quarterly sales growth. Joom CFO Kelly Stuckelberg joins us 260 00:13:45,880 --> 00:13:49,080 Speaker 1: now and Kelly Zoom shares up on the day, which 261 00:13:49,080 --> 00:13:52,320 Speaker 1: I'm sure is welcome news given almost everything else is 262 00:13:52,320 --> 00:13:55,120 Speaker 1: in the red. How is it that Zoom has been 263 00:13:55,160 --> 00:13:59,600 Speaker 1: April to weather these macroeconomic forces that Snap, for example, 264 00:13:59,760 --> 00:14:05,280 Speaker 1: has not well. Emily, we are successfully transitioning from being 265 00:14:05,320 --> 00:14:07,800 Speaker 1: this killer meeting app that everybody came to no one 266 00:14:07,840 --> 00:14:11,760 Speaker 1: loved during the pandemic, to an indispensable platform that is 267 00:14:11,800 --> 00:14:15,520 Speaker 1: comprised of not only Zoom Meetings, but also Zoom Phone, 268 00:14:15,640 --> 00:14:18,520 Speaker 1: which had an amazing quarter. We crossed over the three 269 00:14:18,600 --> 00:14:22,040 Speaker 1: million seats sold for Zoom Phone as well as Zoom 270 00:14:22,080 --> 00:14:25,000 Speaker 1: contact Center, our new product it was just recently re 271 00:14:25,040 --> 00:14:29,160 Speaker 1: released and had some great customer wins. And then Zoom Rooms, 272 00:14:29,200 --> 00:14:31,520 Speaker 1: which is going to be a really indispensable part of 273 00:14:31,760 --> 00:14:35,840 Speaker 1: organization strategy as they're navigating what the future of hybrid 274 00:14:35,880 --> 00:14:38,120 Speaker 1: work flight looks like and trying to make that as 275 00:14:38,160 --> 00:14:42,680 Speaker 1: inclusive as possible. So all of that together, um, you know, 276 00:14:42,720 --> 00:14:46,000 Speaker 1: resulted in a strong quarter. So I wonder if it's 277 00:14:46,000 --> 00:14:48,120 Speaker 1: time to get a little bolder. I mean, you did 278 00:14:48,160 --> 00:14:52,120 Speaker 1: recently purchase Solvy, but you still have six billion dollars 279 00:14:52,120 --> 00:14:55,520 Speaker 1: in cash on your balance She should we be expecting 280 00:14:55,560 --> 00:14:59,240 Speaker 1: you to make more deals? Yeah, so we're really excited. 281 00:14:59,240 --> 00:15:03,200 Speaker 1: Were recently close Solving which will bring conversational AI into 282 00:15:03,280 --> 00:15:06,120 Speaker 1: our Contact center so welcome to that team. And this 283 00:15:06,200 --> 00:15:08,560 Speaker 1: is absolutely a really important part of our strategy. As 284 00:15:08,560 --> 00:15:11,080 Speaker 1: you said, we have a very strong balance sheet and 285 00:15:11,240 --> 00:15:14,200 Speaker 1: are looking towards M and A to continue to accelerate 286 00:15:14,240 --> 00:15:18,680 Speaker 1: both our technology as well as our talent acquisition. And 287 00:15:18,720 --> 00:15:21,720 Speaker 1: then we also are in the middle of a stock 288 00:15:21,720 --> 00:15:24,520 Speaker 1: repurchase program. Our board approved a billion dollars that we 289 00:15:24,560 --> 00:15:29,280 Speaker 1: are executing against um huntering two million of stock with repurchase. 290 00:15:29,360 --> 00:15:32,840 Speaker 1: Last quarter, you did say you're starting to see the 291 00:15:32,880 --> 00:15:36,920 Speaker 1: impact of the war on Ukraine on sales in Europe, 292 00:15:36,960 --> 00:15:38,440 Speaker 1: and I'm wondering if you can give us any more 293 00:15:38,480 --> 00:15:42,880 Speaker 1: details on that. Sure, So, we certainly saw some headwinds 294 00:15:43,040 --> 00:15:47,320 Speaker 1: in our online segment of our business, and largely related 295 00:15:47,400 --> 00:15:52,440 Speaker 1: to the war in Russian Ukraine as well as FX 296 00:15:52,680 --> 00:15:57,000 Speaker 1: and so combined we in our guidance we indicated that 297 00:15:57,000 --> 00:15:59,680 Speaker 1: that's having about a one we sent impact of revenue. 298 00:16:00,320 --> 00:16:02,600 Speaker 1: And you know this is due to the sanctions that 299 00:16:02,640 --> 00:16:05,640 Speaker 1: we're seeing as well at in Russia specifically, as well 300 00:16:05,680 --> 00:16:08,800 Speaker 1: as the overall impact in Europe I think due to 301 00:16:09,000 --> 00:16:12,680 Speaker 1: uncertainty and that region is certainly having a dampening effect 302 00:16:12,760 --> 00:16:17,520 Speaker 1: on our online sayingment of our business. Meantime, Microsoft teams 303 00:16:18,040 --> 00:16:22,200 Speaker 1: seems to be gaining market share in video conferencing. What's 304 00:16:22,240 --> 00:16:27,520 Speaker 1: the plan to continue to fend them off? So we 305 00:16:27,640 --> 00:16:33,880 Speaker 1: have a natively built platform that brings together audio, video, chat, 306 00:16:34,400 --> 00:16:37,000 Speaker 1: contact center, and all of that brings a lot of 307 00:16:37,080 --> 00:16:39,640 Speaker 1: value to our customers. And every single day we're focusing 308 00:16:39,720 --> 00:16:43,280 Speaker 1: on delivering happiness to them by bringing them a lot 309 00:16:43,320 --> 00:16:47,800 Speaker 1: of value in this natively built platform. And we are 310 00:16:47,840 --> 00:16:51,120 Speaker 1: continued to innovate. We are investing and hiring in R 311 00:16:51,160 --> 00:16:54,160 Speaker 1: and D on a global basis and continuing to listen 312 00:16:54,160 --> 00:16:56,520 Speaker 1: to our customers and build the products that they need, 313 00:16:56,640 --> 00:17:01,200 Speaker 1: especially especially in this ever evolving world of work today. 314 00:17:01,600 --> 00:17:04,600 Speaker 1: And you're also planning to incorporate more AI features, but 315 00:17:04,680 --> 00:17:08,000 Speaker 1: privacy advocates seem to have a problem with some of 316 00:17:08,040 --> 00:17:11,680 Speaker 1: these new ideas. What's been your response to that. So 317 00:17:11,920 --> 00:17:15,600 Speaker 1: we're really focused on bringing AI into our products to 318 00:17:15,720 --> 00:17:21,720 Speaker 1: do things like live transcripts, um also analysis after the meeting. 319 00:17:21,760 --> 00:17:24,560 Speaker 1: And this is really helpful in terms of one of 320 00:17:24,600 --> 00:17:27,720 Speaker 1: our new products as well, zoom i Q for sales, 321 00:17:28,240 --> 00:17:31,560 Speaker 1: and this is really helpful the organizations as they're trying 322 00:17:31,560 --> 00:17:35,800 Speaker 1: to make their sales teams more productive and make sure 323 00:17:35,880 --> 00:17:38,360 Speaker 1: that they're focusing on the right things in their meetings, 324 00:17:38,840 --> 00:17:41,880 Speaker 1: and we are very thoughtful we think about bringing any 325 00:17:41,920 --> 00:17:45,280 Speaker 1: new feature to the market, and we'll continue to do 326 00:17:45,320 --> 00:17:48,280 Speaker 1: so in the area of AI. All Right, Keli Steckelberg, 327 00:17:48,480 --> 00:17:52,080 Speaker 1: CFO of zoom Kelly, thank you so much for joining us, 328 00:17:52,359 --> 00:17:53,680 Speaker 1: and I want to give you an update right now 329 00:17:53,680 --> 00:17:56,720 Speaker 1: on some breaking news coming out of Texas and that 330 00:17:56,920 --> 00:18:01,560 Speaker 1: devastating shooting at an elementary school and you'll al d Texas. 331 00:18:02,080 --> 00:18:04,359 Speaker 1: We've just been listening into a press conference by Governor 332 00:18:04,520 --> 00:18:10,040 Speaker 1: Greg Abbott who confirmed, uh, fifteen people were killed, most 333 00:18:10,080 --> 00:18:13,680 Speaker 1: of them children, elementary school children. The shooter in eighteen 334 00:18:13,720 --> 00:18:17,359 Speaker 1: year old was killed by responding police officers. A couple 335 00:18:17,400 --> 00:18:20,640 Speaker 1: of those officers were shot but not hurt. Seriously, We're 336 00:18:20,640 --> 00:18:24,320 Speaker 1: continuing to cover the headlines as we get them coming 337 00:18:24,400 --> 00:18:28,960 Speaker 1: in from Uvaldi, Texas at that elementary school and an 338 00:18:29,040 --> 00:18:33,680 Speaker 1: absolutely horrific shooting. More come up next on the show. 339 00:18:33,880 --> 00:18:40,440 Speaker 1: This is Bloomberg. Welcome back to Bloomberg Technology. We're continuing 340 00:18:40,480 --> 00:18:43,680 Speaker 1: to cover this breaking news out of Uvaldi, Texas, where 341 00:18:43,760 --> 00:18:48,440 Speaker 1: fifteen people have been killed by an eighteen year old shooter. 342 00:18:48,640 --> 00:18:52,400 Speaker 1: Fourteen of those fifteen dead as we understand it at 343 00:18:52,400 --> 00:18:56,760 Speaker 1: this point, our elementary school children in addition to a teacher. 344 00:18:56,840 --> 00:18:59,879 Speaker 1: We're continuing to wait for more details as we have 345 00:19:00,000 --> 00:19:03,919 Speaker 1: of them. The shooter was shot and killed by police, 346 00:19:03,960 --> 00:19:06,240 Speaker 1: and we're going to continue to follow this developing story 347 00:19:06,280 --> 00:19:08,800 Speaker 1: and bring you um more headlines. I do want to 348 00:19:08,800 --> 00:19:11,720 Speaker 1: get back to the markets now with our Ridika Gupta. 349 00:19:11,960 --> 00:19:16,479 Speaker 1: Ridika walk us through the movers on the day. Yes, Emily, well, 350 00:19:16,520 --> 00:19:18,639 Speaker 1: you do have a down day for US stocks, but 351 00:19:18,680 --> 00:19:20,760 Speaker 1: we really did see some of those losses start to 352 00:19:20,760 --> 00:19:22,560 Speaker 1: be a raise towards the end of the session, So 353 00:19:22,600 --> 00:19:25,399 Speaker 1: you saw the SMP five closing less than one percent 354 00:19:25,520 --> 00:19:28,520 Speaker 1: lower that we saw some of those defensive sectors starting 355 00:19:28,880 --> 00:19:31,760 Speaker 1: to perform higher. But of course then AzaC one hundred 356 00:19:31,880 --> 00:19:34,480 Speaker 1: was the under performer today, being waved down by some 357 00:19:34,560 --> 00:19:38,040 Speaker 1: of those heavyweights Tesla Apple. But we did see really 358 00:19:38,080 --> 00:19:41,280 Speaker 1: that safe Hayden bid coming into the treasury space, so 359 00:19:42,320 --> 00:19:45,600 Speaker 1: forty portfolio perhaps having a good day to day relatively 360 00:19:45,600 --> 00:19:48,119 Speaker 1: as we start to see some normalcy coming back in 361 00:19:48,200 --> 00:19:51,399 Speaker 1: between that correlation. But of course, really what was driving 362 00:19:51,400 --> 00:19:55,560 Speaker 1: the sentiment surprisingly was snapped and I say surprisingly because 363 00:19:55,680 --> 00:19:57,679 Speaker 1: it's not the biggest company, and it's not even in 364 00:19:57,720 --> 00:20:00,679 Speaker 1: the SMP five hundred emily, but it did plunge some 365 00:20:00,800 --> 00:20:04,600 Speaker 1: forty or more in fact on that session today. And 366 00:20:04,640 --> 00:20:09,080 Speaker 1: I did warn about the ad revenues going forward, and 367 00:20:09,160 --> 00:20:12,119 Speaker 1: it really is that macro environment that it was warning 368 00:20:12,160 --> 00:20:15,639 Speaker 1: about profit margins, inflation, and of course fears of a 369 00:20:15,720 --> 00:20:20,480 Speaker 1: slowdown lower consumer demand that could reduce the advertising spending 370 00:20:20,520 --> 00:20:23,320 Speaker 1: because of course, in terms of recession, that's usually what 371 00:20:23,400 --> 00:20:26,119 Speaker 1: companies are first to slash their budgets on. And you 372 00:20:26,160 --> 00:20:29,520 Speaker 1: see that really seeping in into those social media stocks today. 373 00:20:29,560 --> 00:20:33,360 Speaker 1: Pinterest down some twenty four percent in today's session, Twitter 374 00:20:33,440 --> 00:20:36,920 Speaker 1: down as well, these companies social media stocks as a 375 00:20:36,960 --> 00:20:39,359 Speaker 1: whole today wiping off more than a hundred and sixty 376 00:20:39,359 --> 00:20:43,560 Speaker 1: billion dollars worth of the market value today. But it's surprising, 377 00:20:43,560 --> 00:20:46,720 Speaker 1: and I say surprising how surprise investors were in fact, 378 00:20:46,720 --> 00:20:48,879 Speaker 1: because if I look at all of these names on 379 00:20:48,920 --> 00:20:51,119 Speaker 1: this board behind me there, they are all down in 380 00:20:51,119 --> 00:20:53,760 Speaker 1: the double digits on a year to date basis because 381 00:20:53,880 --> 00:20:57,679 Speaker 1: social media stocks haven't had the best start off to 382 00:20:57,720 --> 00:20:59,520 Speaker 1: the year. And you flip up the board, I'll show 383 00:20:59,560 --> 00:21:02,480 Speaker 1: you a chart really indicating that you see social media 384 00:21:02,520 --> 00:21:05,280 Speaker 1: group here that is that white line on the chart here. 385 00:21:05,280 --> 00:21:07,840 Speaker 1: It is now trading back at some of those pre 386 00:21:08,040 --> 00:21:12,040 Speaker 1: pandemic levels that we saw. And this is quite the change. 387 00:21:12,040 --> 00:21:16,000 Speaker 1: I mean, it's now trailing the SPA the thing back 388 00:21:16,040 --> 00:21:19,679 Speaker 1: to the height of the pandemic. Stay at Homestock, social 389 00:21:19,680 --> 00:21:23,680 Speaker 1: media was really soaring. It really was one of the outperformers, 390 00:21:23,720 --> 00:21:26,400 Speaker 1: shall we say. But now with that reopening, with those 391 00:21:26,440 --> 00:21:29,520 Speaker 1: fears of a slowdown what that could mean for advertising revenues, 392 00:21:29,760 --> 00:21:35,119 Speaker 1: we see that invest invested sentiment has really started to sour. Emily, indeed, 393 00:21:35,200 --> 00:21:39,520 Speaker 1: Ridika Kupta, thank you. Meantime, late last week, a Los 394 00:21:39,560 --> 00:21:45,119 Speaker 1: Angeles Superior Court judge invalidated a California law that required 395 00:21:45,440 --> 00:21:48,840 Speaker 1: gender parody on corporate boards set a bill eight to 396 00:21:49,119 --> 00:21:53,040 Speaker 1: six was signed in the laween by then Governor Jerry Brown, 397 00:21:53,119 --> 00:21:57,320 Speaker 1: making California the first state to require publicly traded companies 398 00:21:57,359 --> 00:22:01,280 Speaker 1: to include women on their boards, a law that judge 399 00:22:01,680 --> 00:22:04,880 Speaker 1: found to be unconstitutional. Here with me to talk about 400 00:22:04,920 --> 00:22:08,800 Speaker 1: that and more is California's first Partner, Jennifer Siebelnusom, who 401 00:22:08,800 --> 00:22:12,440 Speaker 1: was also the co founder of California Partner's Project, a 402 00:22:12,480 --> 00:22:16,760 Speaker 1: nonprofit dedicated to promoting gender equality and which is tracking 403 00:22:16,800 --> 00:22:20,600 Speaker 1: the progress and implementation of this bill. Jennifer, thank you 404 00:22:20,600 --> 00:22:22,840 Speaker 1: so much for joining us. So, first of all, what 405 00:22:22,960 --> 00:22:25,560 Speaker 1: has been your reaction to this, You know, a court 406 00:22:26,080 --> 00:22:28,400 Speaker 1: in l A striking this down and a judge saying 407 00:22:28,400 --> 00:22:31,800 Speaker 1: that this law is unconstitutional. Well, it's great to be 408 00:22:31,880 --> 00:22:34,920 Speaker 1: with you. Thanks so much. Look, I mean the law 409 00:22:34,960 --> 00:22:39,679 Speaker 1: has led to progress. We have around thirteen hundred seats 410 00:22:39,680 --> 00:22:42,520 Speaker 1: filled in the past few years, um, with women on 411 00:22:42,600 --> 00:22:48,359 Speaker 1: public companies in California. We've nearly doubled the numbers of 412 00:22:48,359 --> 00:22:50,879 Speaker 1: women or we've actually doubled the number the percentage of 413 00:22:50,880 --> 00:22:53,840 Speaker 1: women on public company boards from fifteen point five percent 414 00:22:54,080 --> 00:23:01,760 Speaker 1: in to uh this in one we have nearly tripled 415 00:23:01,960 --> 00:23:04,359 Speaker 1: the number of board seats held by women because we've 416 00:23:04,400 --> 00:23:08,200 Speaker 1: increased the number of public companies in California as well. 417 00:23:08,840 --> 00:23:12,720 Speaker 1: So the law has been a success, um. And you know, 418 00:23:12,800 --> 00:23:17,960 Speaker 1: I'm a firm believer that policy change leads to shifts 419 00:23:17,960 --> 00:23:20,960 Speaker 1: and hearts and minds and attitudes and behaviors, and so 420 00:23:21,040 --> 00:23:24,879 Speaker 1: it's been working. But here you have this law now 421 00:23:25,040 --> 00:23:30,960 Speaker 1: being overturned. Does this set progress back? And how much? Yeah? Well, 422 00:23:30,960 --> 00:23:35,520 Speaker 1: first of all, we're appealing the overturn because it ignores 423 00:23:35,760 --> 00:23:40,760 Speaker 1: the substantial discrimination against women in the selection process to 424 00:23:40,840 --> 00:23:45,360 Speaker 1: be on public company boards. We all know and research indicates, 425 00:23:45,720 --> 00:23:50,760 Speaker 1: UM that the board seats are are typically held by 426 00:23:50,960 --> 00:23:56,080 Speaker 1: men who have been conditioned or have biases towards UM 427 00:23:56,160 --> 00:24:00,879 Speaker 1: selecting women candidates for the board. So everything for misperceptions 428 00:24:00,880 --> 00:24:07,240 Speaker 1: of risks UH to just insular networks and artificially narrow searches, 429 00:24:07,760 --> 00:24:11,399 Speaker 1: so all of this contributes to UM a bar that 430 00:24:11,560 --> 00:24:14,399 Speaker 1: is raised in the selection process for women and a 431 00:24:14,400 --> 00:24:17,280 Speaker 1: bar that is lowered for men in the selection process. 432 00:24:17,600 --> 00:24:21,879 Speaker 1: So again I'm I'm confident UM in this appeal UH 433 00:24:22,040 --> 00:24:27,040 Speaker 1: that another UH court will will see the benefit of 434 00:24:27,080 --> 00:24:29,919 Speaker 1: this legislation. And again, we only have three in our 435 00:24:30,000 --> 00:24:33,680 Speaker 1: seats left to fill. And again I'm I'm confident that 436 00:24:34,119 --> 00:24:37,080 Speaker 1: everyone already sees that when you have more diversity, more 437 00:24:37,119 --> 00:24:42,600 Speaker 1: women in public company board seats, that there's greater profitability, sustainability, UM, 438 00:24:42,880 --> 00:24:46,919 Speaker 1: and ultimately it's just better for business all around. I 439 00:24:46,960 --> 00:24:49,840 Speaker 1: wonder though, if this is part of a disturbing trend 440 00:24:49,840 --> 00:24:54,280 Speaker 1: where we're seeing women backsliding. We saw them backslide in 441 00:24:54,320 --> 00:24:56,800 Speaker 1: the pandemic, you know, on the heels of of of 442 00:24:56,880 --> 00:25:00,000 Speaker 1: the me too movement. Now we're seeing, you know, company 443 00:25:00,160 --> 00:25:04,160 Speaker 1: is going through layoffs, heading into a tense macro economic environment. 444 00:25:04,200 --> 00:25:07,639 Speaker 1: The markets are melting down. Are you concerned that women 445 00:25:08,280 --> 00:25:14,760 Speaker 1: could be backsliding even more as we speak? So we're 446 00:25:14,760 --> 00:25:18,640 Speaker 1: living in really strange times. And again if we look 447 00:25:18,680 --> 00:25:23,119 Speaker 1: at you know, SMP, UM, uh C, e O, S 448 00:25:23,359 --> 00:25:28,000 Speaker 1: and and and broadly speaking the board representation and public companies, 449 00:25:28,000 --> 00:25:31,280 Speaker 1: so s of boards seats are held by men, and 450 00:25:32,440 --> 00:25:35,160 Speaker 1: of CEOs are are male. And we're living in these 451 00:25:35,200 --> 00:25:39,560 Speaker 1: times of crisis with incredible economic inequality, climate crisis, public 452 00:25:39,600 --> 00:25:44,080 Speaker 1: health crisis, is war um, mental health crisis, etcetera, etcetera 453 00:25:44,119 --> 00:25:48,200 Speaker 1: coming out of this pandemic um. And we're just there's 454 00:25:48,240 --> 00:25:51,119 Speaker 1: so much um that women haven't had seats at the 455 00:25:51,119 --> 00:25:55,119 Speaker 1: tables of power. And so all to me, all signs 456 00:25:55,200 --> 00:25:58,600 Speaker 1: point to you put more women and with their prospectives 457 00:25:58,680 --> 00:26:03,640 Speaker 1: and experiences decision making tables, and it's just better for business, 458 00:26:03,920 --> 00:26:07,240 Speaker 1: and it's better for our society, it's better for the environment, 459 00:26:07,280 --> 00:26:10,239 Speaker 1: it's better for everyone. All the studies again indicate that 460 00:26:10,320 --> 00:26:13,720 Speaker 1: women invest in not just profit, but they'll focus on 461 00:26:13,840 --> 00:26:16,720 Speaker 1: people and the planet at higher rates than men. Will 462 00:26:17,200 --> 00:26:20,040 Speaker 1: UM the e s G outcomes of having women sitting 463 00:26:20,080 --> 00:26:25,119 Speaker 1: on public company boards are substantially greater, so uh, and 464 00:26:25,119 --> 00:26:27,119 Speaker 1: I'm happy to talk about those in detail. But again, 465 00:26:27,160 --> 00:26:29,280 Speaker 1: I think this all points to the fact that what 466 00:26:29,640 --> 00:26:32,199 Speaker 1: the past hasn't been working, and so we need to 467 00:26:32,240 --> 00:26:35,960 Speaker 1: just keep um supporting and encouraging more women into leadership 468 00:26:35,960 --> 00:26:38,479 Speaker 1: and giving them seats at the tables where they deserve 469 00:26:38,560 --> 00:26:42,440 Speaker 1: to be. And I really think that women are primed 470 00:26:42,760 --> 00:26:46,040 Speaker 1: to solve some of these complex issues that have um 471 00:26:46,280 --> 00:26:51,160 Speaker 1: across our economy and society. Today, we're seeing companies increasingly 472 00:26:51,920 --> 00:26:54,600 Speaker 1: facing pressure to take a stand, whether it's Disney on 473 00:26:54,720 --> 00:26:59,040 Speaker 1: the don't say gay legislation, or companies in general on 474 00:26:59,080 --> 00:27:02,520 Speaker 1: the new potential or Row versus Wade to be overturned. 475 00:27:03,080 --> 00:27:05,960 Speaker 1: What do you think companies should do in the situation, 476 00:27:06,600 --> 00:27:11,880 Speaker 1: knowing that these are very polarizing issues. So you're talking 477 00:27:11,920 --> 00:27:15,639 Speaker 1: to someone who has always sort of believed in the 478 00:27:15,720 --> 00:27:19,000 Speaker 1: b court model or the as I said, the triple 479 00:27:19,040 --> 00:27:24,000 Speaker 1: bottom line model. UM that a successful company invests in 480 00:27:24,040 --> 00:27:28,679 Speaker 1: its employees and provides, you know, family friendly policies and 481 00:27:28,760 --> 00:27:32,960 Speaker 1: benefits to its employees, and pays its employees equitably. UM 482 00:27:33,080 --> 00:27:37,480 Speaker 1: A successful company. Uh, make sure that it's not harming 483 00:27:37,480 --> 00:27:39,960 Speaker 1: the environment and it's actually leaving the environment and the 484 00:27:40,000 --> 00:27:42,080 Speaker 1: local community in a better place than it found it. 485 00:27:42,600 --> 00:27:46,720 Speaker 1: Um so, and it's profitable. Um and so I think 486 00:27:46,760 --> 00:27:51,840 Speaker 1: that companies need to be bold and lean into their values, 487 00:27:51,920 --> 00:27:55,240 Speaker 1: just like we're leaning into our values in California. And 488 00:27:55,359 --> 00:27:58,359 Speaker 1: part of that is, as we all know, the greater 489 00:27:58,440 --> 00:28:01,399 Speaker 1: the diversity you have around its table, the greater the creativity, 490 00:28:01,400 --> 00:28:04,560 Speaker 1: productivity in the better bottom line. And so again, I 491 00:28:04,600 --> 00:28:06,879 Speaker 1: think Disney needs to be bold. All these companies need 492 00:28:06,960 --> 00:28:09,439 Speaker 1: to be bold, similar with Whew, we wait. They have 493 00:28:09,600 --> 00:28:13,040 Speaker 1: to lead and lean in with their values. Governor Newsom, 494 00:28:13,160 --> 00:28:16,840 Speaker 1: your husband is taking steps to make California kind of 495 00:28:16,880 --> 00:28:21,200 Speaker 1: a safe haven for abortion, recently proposing allocating a dwive 496 00:28:21,240 --> 00:28:24,359 Speaker 1: million dollars in the budget toward we productive health. What 497 00:28:24,480 --> 00:28:28,000 Speaker 1: more would you like to see California do? Probably speaking, 498 00:28:28,000 --> 00:28:31,240 Speaker 1: I want California to be the state where working moms 499 00:28:31,359 --> 00:28:34,199 Speaker 1: want to raise their families. UM. I really, and I 500 00:28:34,240 --> 00:28:37,760 Speaker 1: think that we're actually taking great strides um in that direction. 501 00:28:37,800 --> 00:28:40,240 Speaker 1: I'm really proud of the work again that we've been 502 00:28:40,240 --> 00:28:43,440 Speaker 1: doing with regards to pay equity and women in public 503 00:28:43,440 --> 00:28:47,240 Speaker 1: company boards. Again, UM, we're leading the nation and now 504 00:28:47,240 --> 00:28:49,040 Speaker 1: we're world leader when it comes to women in public 505 00:28:49,040 --> 00:28:51,120 Speaker 1: company boards. I mean, the strongest people pay laws in 506 00:28:51,160 --> 00:28:54,440 Speaker 1: the nation, UM. Just as I think we have incredible 507 00:28:54,880 --> 00:28:59,640 Speaker 1: um UM laws related to sexual harassment and assault, and 508 00:28:59,680 --> 00:29:03,800 Speaker 1: so I do think that we're creating environments where women 509 00:29:03,880 --> 00:29:08,280 Speaker 1: can thrive. And we're also so invested in ensuring that 510 00:29:08,360 --> 00:29:10,400 Speaker 1: kids get the best start in life. So part of 511 00:29:10,440 --> 00:29:14,400 Speaker 1: my work is also around UM children's mental health and 512 00:29:14,480 --> 00:29:17,400 Speaker 1: ensuring kids get the best nutrition and spend time outdoors 513 00:29:17,400 --> 00:29:20,640 Speaker 1: in our states parks. And I'm also cheering the physical 514 00:29:20,640 --> 00:29:22,640 Speaker 1: fitness and mental health counsel and so there's a lot 515 00:29:22,920 --> 00:29:25,920 Speaker 1: coming out of there. Really Again, I'm just really excited 516 00:29:25,960 --> 00:29:29,080 Speaker 1: for California to be a leader UM in terms of 517 00:29:29,320 --> 00:29:33,240 Speaker 1: centering women's perspectives and experiences and making sure that their 518 00:29:33,280 --> 00:29:37,480 Speaker 1: families really thrive. Well, speaking of children, I have to 519 00:29:37,480 --> 00:29:40,800 Speaker 1: ask you before you go about this absolutely horrific shooting 520 00:29:41,280 --> 00:29:45,680 Speaker 1: in Uvaldi, Texas where uh an eighteen year old shooter 521 00:29:45,920 --> 00:29:50,600 Speaker 1: gunned down fifteen people, fourteen of them we believe to 522 00:29:50,640 --> 00:29:54,400 Speaker 1: be elementary school students in addition to their teacher. What 523 00:29:54,600 --> 00:29:59,440 Speaker 1: is what is your reaction to this. Uh, I want 524 00:29:59,440 --> 00:30:06,200 Speaker 1: to cry. UM, it's horrifying. I'm a mother of four. UM. 525 00:30:06,280 --> 00:30:11,600 Speaker 1: We guns are a major, major, major problem in our country. 526 00:30:11,960 --> 00:30:15,520 Speaker 1: Toxic masculinity is a major, major, major problem in our country. 527 00:30:15,880 --> 00:30:20,560 Speaker 1: Misinformation is a major major problem in our country. Mental 528 00:30:20,560 --> 00:30:24,680 Speaker 1: health is a major problem. But guns and ammunition kill people, 529 00:30:24,880 --> 00:30:28,240 Speaker 1: and they don't belong in the hands of people that 530 00:30:28,920 --> 00:30:33,680 Speaker 1: UM have extreme beliefs, have a lot of hate. UM 531 00:30:33,680 --> 00:30:38,240 Speaker 1: are our bigots, are racists, are sexists, are violent offenders. 532 00:30:38,560 --> 00:30:41,360 Speaker 1: They don't belong in their hands. And semi automagmatic weapons 533 00:30:41,480 --> 00:30:44,719 Speaker 1: definitely do not belong in their hands. So I'm a 534 00:30:44,800 --> 00:30:47,960 Speaker 1: firm believer in common sense gun laws. And again, I 535 00:30:48,000 --> 00:30:51,440 Speaker 1: think California has been leading the nation, and some conservative 536 00:30:51,520 --> 00:30:54,200 Speaker 1: judges have been challenging us. But I'm really proud of 537 00:30:54,240 --> 00:30:56,360 Speaker 1: what we've done and what the governor has done with 538 00:30:56,400 --> 00:31:01,280 Speaker 1: regards to common sense gun legislation. And I my heart 539 00:31:01,320 --> 00:31:05,719 Speaker 1: goes out to every child and family member, UM who 540 00:31:05,720 --> 00:31:11,680 Speaker 1: has been impacted. Uh, it's horrible, Indeed, it is. It 541 00:31:11,800 --> 00:31:15,800 Speaker 1: is absolutely horrifying. UM. Jennifer Siebel Newsome, California's first partner 542 00:31:16,200 --> 00:31:18,480 Speaker 1: co founder of the California partner's project. Thank you for 543 00:31:18,560 --> 00:31:21,840 Speaker 1: sharing your thoughts here with us, and will continue to 544 00:31:21,880 --> 00:31:25,480 Speaker 1: bring you more details as we have them. This is Bloomberg. 545 00:31:28,120 --> 00:31:30,080 Speaker 1: I do want to move on to some of the 546 00:31:30,080 --> 00:31:33,680 Speaker 1: other stories of the day and our crypto rapport Crypto 547 00:31:34,200 --> 00:31:37,040 Speaker 1: keeping a low profile in midst of this broader market meltdown, 548 00:31:37,280 --> 00:31:43,440 Speaker 1: Bitcoin falling to a daily average below dollars. Bitcoins moves 549 00:31:43,760 --> 00:31:48,040 Speaker 1: showcasing a fairly strong correlation between cryptocurrencies and other equities, 550 00:31:48,200 --> 00:31:52,320 Speaker 1: even more so uh than between the coin and tech stocks. 551 00:31:52,320 --> 00:31:56,600 Speaker 1: This is institutional investors still spooked by that Tara Luna collapse. 552 00:31:56,680 --> 00:31:59,960 Speaker 1: Kristin Smith from the Blockchain Association Join My colleague Can 553 00:32:00,040 --> 00:32:04,240 Speaker 1: the Lines earlier in Davos talked about what it all means. 554 00:32:06,600 --> 00:32:09,760 Speaker 1: I think there are two primary issue shoes that get 555 00:32:09,760 --> 00:32:13,120 Speaker 1: the most attention for regulators. The first is having a 556 00:32:13,160 --> 00:32:16,920 Speaker 1: way to regulate the spot markets. Today crypto exchanges in 557 00:32:16,960 --> 00:32:21,680 Speaker 1: the US have money transmitter licenses, which isn't exactly directly 558 00:32:21,720 --> 00:32:24,680 Speaker 1: related to what they do most um. Instead, I think 559 00:32:24,720 --> 00:32:28,400 Speaker 1: what we need to see as a single uniform federal regulator. Uh. 560 00:32:28,440 --> 00:32:31,480 Speaker 1: The other issue is stable coin regulation, and there are 561 00:32:31,520 --> 00:32:35,040 Speaker 1: many different types of stable coins and having disclosures around 562 00:32:35,480 --> 00:32:38,920 Speaker 1: what are in those reserves, having audits of those and 563 00:32:39,000 --> 00:32:42,040 Speaker 1: making that information available to consumers would go a long 564 00:32:42,080 --> 00:32:46,920 Speaker 1: way towards preventing something like the U s T collapse. Kristen, 565 00:32:47,160 --> 00:32:50,920 Speaker 1: to what extent do you think that blockchain technology cryptocurrencies 566 00:32:50,960 --> 00:32:54,000 Speaker 1: at large have a reputation problem on Capitol Hill? I'm 567 00:32:54,040 --> 00:32:58,320 Speaker 1: just wondering how much is about perception versus real understanding 568 00:32:58,600 --> 00:33:01,040 Speaker 1: of how these ecosystems, or what is your sense on 569 00:33:01,120 --> 00:33:05,440 Speaker 1: how how great the level of understanding really is among lawmakers. 570 00:33:08,920 --> 00:33:11,880 Speaker 1: You know, we've made a tremendous amount of progress if 571 00:33:11,880 --> 00:33:14,080 Speaker 1: you compare where we're a year ago to where we 572 00:33:14,160 --> 00:33:18,360 Speaker 1: are today. The overall basic level of education and policymakers 573 00:33:18,360 --> 00:33:21,200 Speaker 1: have about this asset class has written quite a bit 574 00:33:21,480 --> 00:33:24,360 Speaker 1: the challenges that this is such a fast moving industry 575 00:33:24,400 --> 00:33:27,680 Speaker 1: that's constantly evolving and constantly changing that it takes a 576 00:33:27,720 --> 00:33:30,560 Speaker 1: lot of work for these policymakers to keep up. But 577 00:33:30,640 --> 00:33:33,720 Speaker 1: I think what policymakers on Capitol Hill realize is that 578 00:33:33,800 --> 00:33:37,120 Speaker 1: they have constituents in their district that are investing in 579 00:33:37,160 --> 00:33:40,360 Speaker 1: these assets that are building on top of these block chains, 580 00:33:40,680 --> 00:33:43,440 Speaker 1: and they're very passionate when it comes to public policy 581 00:33:43,480 --> 00:33:46,400 Speaker 1: in this space, and so I think we've caught as 582 00:33:46,400 --> 00:33:49,680 Speaker 1: an industry and as an ecosystem, we've caught the attention 583 00:33:49,720 --> 00:33:52,880 Speaker 1: of Congress, and with the exception of a few outliers, 584 00:33:52,960 --> 00:33:56,560 Speaker 1: most of them are, if not already crypto champions, they 585 00:33:56,560 --> 00:33:59,040 Speaker 1: are crypto curious and they want to learn about this. 586 00:33:59,160 --> 00:34:02,160 Speaker 1: So I think incumbent upon us in the industry and 587 00:34:02,200 --> 00:34:05,240 Speaker 1: in the crypto ecosystem to make sure that they continue 588 00:34:05,280 --> 00:34:07,320 Speaker 1: to grow and learn and understand. And that's a lot 589 00:34:07,320 --> 00:34:11,239 Speaker 1: of what we do here at the Blockchain Association. Christ 590 00:34:11,239 --> 00:34:14,200 Speaker 1: And Smith of the Blockchain Association there with my colleague 591 00:34:14,280 --> 00:34:17,000 Speaker 1: Kaylee Lines, will have much more on Bloomberg technology. Next 592 00:34:17,160 --> 00:34:25,200 Speaker 1: this is Bloomberg. I do want to move on to 593 00:34:25,640 --> 00:34:29,640 Speaker 1: Amazon Web Services. There's an AWS summit underway now in Washington, 594 00:34:29,760 --> 00:34:32,800 Speaker 1: d C. Taking a deep dive into how public sector 595 00:34:32,880 --> 00:34:35,640 Speaker 1: organizations are using and can use the cloud to innovate 596 00:34:35,920 --> 00:34:40,200 Speaker 1: and enhance their digital transformations. Here to talk about that 597 00:34:40,280 --> 00:34:44,080 Speaker 1: and more, AWS Vice President of Worldwide Public Sector Max Peterson. 598 00:34:44,560 --> 00:34:48,160 Speaker 1: Max give us a status check or a report card 599 00:34:48,840 --> 00:34:52,120 Speaker 1: of sorts on how companies are managing this this digital transformation, 600 00:34:52,200 --> 00:34:56,000 Speaker 1: especially as we come out of the pandemic. That's a 601 00:34:56,000 --> 00:34:59,360 Speaker 1: great question, Thanks Emily. We've had over seventeen thousand people 602 00:34:59,400 --> 00:35:02,640 Speaker 1: registered to attend the Public Sector Summit here in Washington, 603 00:35:02,840 --> 00:35:06,280 Speaker 1: d C. To understand exactly that question and a couple 604 00:35:06,320 --> 00:35:10,600 Speaker 1: of significant ways that people are transforming um public sector 605 00:35:10,640 --> 00:35:13,239 Speaker 1: business is in terms of speed. Let me give you 606 00:35:13,280 --> 00:35:17,719 Speaker 1: one quick example. At the in the UH University of 607 00:35:17,719 --> 00:35:21,880 Speaker 1: British Columbium, they were working to solve the COVID pandemic 608 00:35:21,920 --> 00:35:24,480 Speaker 1: problems that we've all had. They had to turn to 609 00:35:24,560 --> 00:35:27,640 Speaker 1: AWS to be able to provide some immense computing power, 610 00:35:28,040 --> 00:35:30,040 Speaker 1: and what they were able to do was take six 611 00:35:30,080 --> 00:35:35,320 Speaker 1: million public records about health information, put him into AWUS 612 00:35:35,480 --> 00:35:38,680 Speaker 1: where they were able to take these records and take 613 00:35:38,719 --> 00:35:41,560 Speaker 1: what would have been a lengthy process compressor to eleven 614 00:35:41,640 --> 00:35:45,879 Speaker 1: days and be able to identify seven new coronavirus variants. 615 00:35:45,920 --> 00:35:49,880 Speaker 1: That's the sort of power that AWS gives researchers to 616 00:35:50,000 --> 00:35:53,960 Speaker 1: understand and solve big problems. You're also announcing a new 617 00:35:54,080 --> 00:36:00,239 Speaker 1: healthcare accelerator that will look at specific healthcare star ups. 618 00:36:00,280 --> 00:36:02,640 Speaker 1: What are the goals for AWS when it comes to 619 00:36:02,960 --> 00:36:06,640 Speaker 1: the healthcare sector specifically. Yeah, that's a great question. The 620 00:36:06,680 --> 00:36:10,839 Speaker 1: Healthcare Accelerator is really designed to help small businesses who 621 00:36:10,880 --> 00:36:15,800 Speaker 1: are really innovative get a four week intensive on AWS. 622 00:36:15,840 --> 00:36:18,680 Speaker 1: We give them cloud credits, we give them technical assistance, 623 00:36:18,800 --> 00:36:22,399 Speaker 1: we connect them with others in the healthcare industry, all 624 00:36:22,480 --> 00:36:26,600 Speaker 1: to create new solutions. We find that these startup accelerators 625 00:36:26,600 --> 00:36:29,920 Speaker 1: are the things that really generate tremendous new opportunities and 626 00:36:30,000 --> 00:36:33,800 Speaker 1: solve really big problems in very innovative ways. We're excited 627 00:36:33,840 --> 00:36:37,080 Speaker 1: to announce it here. This accelerator is focused on health 628 00:36:37,080 --> 00:36:40,839 Speaker 1: equity in particular, and it's open for applications for now 629 00:36:40,920 --> 00:36:45,360 Speaker 1: until July one. So you know, I'm so curious for 630 00:36:45,400 --> 00:36:48,040 Speaker 1: your thoughts on the labor market and how it's shifting now, 631 00:36:48,440 --> 00:36:51,760 Speaker 1: especially as so many companies are now competing for talent 632 00:36:52,280 --> 00:36:55,799 Speaker 1: and companies in the clouds specifically. Are what are the 633 00:36:55,880 --> 00:37:00,000 Speaker 1: interesting trends that you're seeing. Yes, well, I would start 634 00:37:00,000 --> 00:37:03,520 Speaker 1: about by saying that there is a well recognized shortage 635 00:37:03,560 --> 00:37:05,640 Speaker 1: and tech skills, and it's one of the reasons why 636 00:37:05,680 --> 00:37:09,680 Speaker 1: Amazon took action back in nineteen to announce our program 637 00:37:09,719 --> 00:37:14,000 Speaker 1: to skill up twenty nine million people with free cloud skills. 638 00:37:14,000 --> 00:37:17,600 Speaker 1: By of course, as a result of the pandemic, there 639 00:37:17,680 --> 00:37:22,239 Speaker 1: was a temporary increase in the difficulty of obtaining and 640 00:37:22,280 --> 00:37:25,239 Speaker 1: retaining focus, but as we've come out of the pandemic, 641 00:37:25,239 --> 00:37:29,280 Speaker 1: we're starting to see these return to more normal circumstances. 642 00:37:29,440 --> 00:37:31,480 Speaker 1: But I think the key for all of us is 643 00:37:31,520 --> 00:37:36,000 Speaker 1: to focus on continued skilling, whether it is UH early 644 00:37:36,080 --> 00:37:39,600 Speaker 1: age like our get I T program which targets UH 645 00:37:40,239 --> 00:37:43,799 Speaker 1: thirteen fourteen year olds, largely targets women to be able 646 00:37:43,800 --> 00:37:45,799 Speaker 1: to get them into tech skills, whether it's at the 647 00:37:45,920 --> 00:37:50,960 Speaker 1: university level thing AWS Academy, or whether it's with states 648 00:37:51,080 --> 00:37:56,960 Speaker 1: that worked upon workforce training programs. Okay, Max Peterson AWS, Max, 649 00:37:57,160 --> 00:38:00,200 Speaker 1: thank you for your views across all of that. At 650 00:38:02,280 --> 00:38:06,920 Speaker 1: late last week, a Los Angeles Superior Court judge invalidated 651 00:38:07,040 --> 00:38:11,640 Speaker 1: a California law that required gender parity on corporate boards. 652 00:38:12,000 --> 00:38:14,359 Speaker 1: Set A Bill eight to six was signed into law 653 00:38:14,360 --> 00:38:18,160 Speaker 1: in eighteen by then Governor Jerry Brown, making California the 654 00:38:18,200 --> 00:38:22,520 Speaker 1: first state to require publicly traded companies to include women 655 00:38:22,760 --> 00:38:27,560 Speaker 1: on their boards, a law that judge found to be unconstitutional. 656 00:38:27,840 --> 00:38:29,880 Speaker 1: Here with me to talk about that and more is 657 00:38:29,920 --> 00:38:33,480 Speaker 1: California's first partner, Jennifer Siebelnusom, who is also the co 658 00:38:33,680 --> 00:38:38,440 Speaker 1: founder of California Partner's Project, a nonprofit dedicated to promoting 659 00:38:38,800 --> 00:38:42,400 Speaker 1: gender equality and which is tracking the progress and implementation 660 00:38:42,920 --> 00:38:45,680 Speaker 1: of this bill. Jennifer, thank you so much for joining us. So, 661 00:38:45,760 --> 00:38:48,439 Speaker 1: first of all, what has been your reaction to this, 662 00:38:48,880 --> 00:38:51,560 Speaker 1: You know, a court in l a striking this down 663 00:38:51,640 --> 00:38:55,040 Speaker 1: and a judge saying that this law is unconstitutional. Well, 664 00:38:55,200 --> 00:38:57,680 Speaker 1: it's great to be with you. Thanks so much. Look, 665 00:38:57,719 --> 00:39:00,920 Speaker 1: I mean, the law has led to progress. We have 666 00:39:01,360 --> 00:39:04,680 Speaker 1: um around thirteen hundred seats filled in the past few 667 00:39:04,760 --> 00:39:09,320 Speaker 1: years UM with women on public companies in California. We've 668 00:39:10,000 --> 00:39:13,680 Speaker 1: nearly doubled the numbers of women or we've actually doubled 669 00:39:13,680 --> 00:39:16,120 Speaker 1: the number the percentage of women on public company boards 670 00:39:16,120 --> 00:39:21,839 Speaker 1: from fifteen point five percent in eighteen to uh this 671 00:39:21,960 --> 00:39:26,719 Speaker 1: in one we have nearly tripled the number of boards 672 00:39:26,719 --> 00:39:29,600 Speaker 1: seats held by women because we've increased the number of 673 00:39:29,680 --> 00:39:33,839 Speaker 1: public companies in California as well. So the law has 674 00:39:33,840 --> 00:39:37,440 Speaker 1: been a success, um. And you know, I'm a firm 675 00:39:37,640 --> 00:39:42,480 Speaker 1: believer that policy change leads to shifts and hearts and 676 00:39:42,560 --> 00:39:45,800 Speaker 1: minds and attitudes and behaviors, and so it's been working. 677 00:39:46,920 --> 00:39:50,879 Speaker 1: But here you have this law now being overturned. Does 678 00:39:50,880 --> 00:39:55,160 Speaker 1: this set progress back and how much? Yeah? Well, first 679 00:39:55,160 --> 00:39:59,840 Speaker 1: of all, we're appealing the overturn because it ignores the 680 00:40:00,040 --> 00:40:04,920 Speaker 1: substantial discrimination against women in the selection process to be 681 00:40:05,080 --> 00:40:09,359 Speaker 1: on public company boards. UH. We all know, and research indicates, 682 00:40:09,760 --> 00:40:14,759 Speaker 1: UM that the board seats are are typically held by 683 00:40:14,960 --> 00:40:20,040 Speaker 1: men who have been conditioned or have biases towards UM 684 00:40:20,200 --> 00:40:24,880 Speaker 1: selecting women candidates for the board. So everything from misperceptions 685 00:40:24,880 --> 00:40:31,240 Speaker 1: of risks UH to just insular networks and artificially narrow searches, 686 00:40:31,760 --> 00:40:35,400 Speaker 1: so all of this contributes to UM a bar that 687 00:40:35,560 --> 00:40:38,400 Speaker 1: is raised in the selection process for women and a 688 00:40:38,440 --> 00:40:41,480 Speaker 1: bar that is lowered for men in the selection process. 689 00:40:41,600 --> 00:40:45,880 Speaker 1: So again I'm I'm confident UM in this appeal UH 690 00:40:46,080 --> 00:40:51,040 Speaker 1: that another UH court will will see the benefit of 691 00:40:51,080 --> 00:40:54,000 Speaker 1: this legislation. And again, we only have three in our 692 00:40:54,040 --> 00:40:57,680 Speaker 1: seats left to fill. And again I'm I'm confident that 693 00:40:58,120 --> 00:41:00,880 Speaker 1: everyone already sees that when you have more diversity and 694 00:41:00,920 --> 00:41:04,839 Speaker 1: more women in public company board seats, that there's greater profitability, 695 00:41:04,920 --> 00:41:10,160 Speaker 1: sustainability UM, and ultimately it's just better for business all around. 696 00:41:10,840 --> 00:41:13,520 Speaker 1: I wonder though, if this is part of a disturbing 697 00:41:13,560 --> 00:41:18,240 Speaker 1: trend where we're seeing women backsliding. We saw them backslide 698 00:41:18,239 --> 00:41:20,760 Speaker 1: in the pandemic, you know, on the heels of of 699 00:41:20,760 --> 00:41:23,680 Speaker 1: of the Me too movement. Now we're seeing you know, 700 00:41:23,719 --> 00:41:28,160 Speaker 1: companies going through layoffs, heading into a tense macro economic environment. 701 00:41:28,200 --> 00:41:31,640 Speaker 1: The markets are melting down. Are you concerned that women 702 00:41:32,280 --> 00:41:38,759 Speaker 1: could be backsliding even more as we speak? So we're 703 00:41:38,800 --> 00:41:42,640 Speaker 1: living in really strange times. And again, if we look 704 00:41:42,680 --> 00:41:47,720 Speaker 1: at you know, SMP, UM, C, e O S and 705 00:41:47,719 --> 00:41:52,000 Speaker 1: and and broadly speaking the board representation and public companies, 706 00:41:52,040 --> 00:41:56,560 Speaker 1: so of boards seats are held by men, and of 707 00:41:56,560 --> 00:41:59,520 Speaker 1: CEOs are are male. And we're living in these times 708 00:41:59,520 --> 00:42:03,280 Speaker 1: of crisis, this with incredible economic inequality, a climate crisis, 709 00:42:03,280 --> 00:42:07,640 Speaker 1: public health crisis, is war, um mental health crisis, etcetera, 710 00:42:07,680 --> 00:42:11,799 Speaker 1: etcetera coming out of this pandemic um and we're just 711 00:42:11,960 --> 00:42:15,080 Speaker 1: there's so much um that women haven't had seats at 712 00:42:15,080 --> 00:42:18,799 Speaker 1: the tables of power, and so all to me, all 713 00:42:18,800 --> 00:42:22,000 Speaker 1: signs point to you put more women and with their 714 00:42:22,040 --> 00:42:26,440 Speaker 1: perspectives and experiences a decision making tables, and it's just 715 00:42:26,640 --> 00:42:30,000 Speaker 1: better for business, and it's better for our society, it's 716 00:42:30,040 --> 00:42:33,040 Speaker 1: better for the environment, it's better for everyone. All the 717 00:42:33,040 --> 00:42:36,240 Speaker 1: studies again indicate that women invest in not just profit, 718 00:42:36,600 --> 00:42:39,799 Speaker 1: but they'll focus on people and the planet at higher 719 00:42:39,880 --> 00:42:42,840 Speaker 1: rates than men will. UM the E s G outcomes 720 00:42:42,880 --> 00:42:47,360 Speaker 1: of having women sitting on public company boards are substantially greater. 721 00:42:47,760 --> 00:42:50,680 Speaker 1: So uh, and I'm happy to talk about those in detail. 722 00:42:50,760 --> 00:42:52,919 Speaker 1: But again, I think this all points to the fact 723 00:42:52,960 --> 00:42:55,799 Speaker 1: that what the past hasn't been working, and so we 724 00:42:55,880 --> 00:42:59,080 Speaker 1: need to just keep um supporting and encouraging more women 725 00:42:59,160 --> 00:43:01,959 Speaker 1: into leadership and giving them seats at the tables where 726 00:43:01,960 --> 00:43:05,600 Speaker 1: they deserve to be. And I really think that women 727 00:43:05,719 --> 00:43:08,960 Speaker 1: are primed to solve some of these complex issues that 728 00:43:09,160 --> 00:43:13,640 Speaker 1: have um across our economy and society. Today, we're seeing 729 00:43:13,680 --> 00:43:18,000 Speaker 1: companies increasingly facing pressure to take a stand, whether it's 730 00:43:18,080 --> 00:43:22,359 Speaker 1: Disney on the don't say gay legislation or companies in 731 00:43:22,400 --> 00:43:25,000 Speaker 1: general on the new potential for a row versus Wade 732 00:43:25,280 --> 00:43:28,920 Speaker 1: to be overturned. What do you think companies should do 733 00:43:29,040 --> 00:43:33,640 Speaker 1: in the situation, knowing that these are very polarizing issues. 734 00:43:34,480 --> 00:43:39,000 Speaker 1: So you're talking to someone who has always sort of 735 00:43:39,040 --> 00:43:42,640 Speaker 1: believed in the b court model or the as I said, 736 00:43:42,680 --> 00:43:47,280 Speaker 1: the triple bottom line model. UM that a successful company 737 00:43:47,400 --> 00:43:51,320 Speaker 1: invests in its employees and provides you know, family friendly 738 00:43:51,840 --> 00:43:56,200 Speaker 1: policies and benefits to its employees, and pays its employees equitably. 739 00:43:57,080 --> 00:44:01,480 Speaker 1: A successful company, uh make sure that it's not harming 740 00:44:01,520 --> 00:44:04,000 Speaker 1: the environment and it's actually leaving the environment and the 741 00:44:04,000 --> 00:44:06,000 Speaker 1: local community in a better place than it found it. 742 00:44:06,600 --> 00:44:10,719 Speaker 1: Um so, and it's profitable. Um. And so I think 743 00:44:10,760 --> 00:44:15,840 Speaker 1: that companies need to be bold and lean into their values, 744 00:44:15,920 --> 00:44:19,239 Speaker 1: just like we're leaning into our values in California. And 745 00:44:19,400 --> 00:44:22,400 Speaker 1: part of that is, as we all know, the greater 746 00:44:22,440 --> 00:44:25,360 Speaker 1: the diversity you have around its table, the greater the creativity, 747 00:44:25,400 --> 00:44:28,600 Speaker 1: productivity in the better bottom line. And so again I 748 00:44:28,600 --> 00:44:30,920 Speaker 1: think Disney needs to be bold. All these companies need 749 00:44:30,960 --> 00:44:33,440 Speaker 1: to be bold, similar with Row we way, they have 750 00:44:33,600 --> 00:44:37,040 Speaker 1: to lead and lean in with their values. Governor Newsom, 751 00:44:37,160 --> 00:44:40,839 Speaker 1: your husband is taking steps to make California kind of 752 00:44:40,880 --> 00:44:45,479 Speaker 1: a safe haven for abortion, recently proposing allocating a million 753 00:44:45,480 --> 00:44:48,879 Speaker 1: dollars in the budget toward reproductive health. What more would 754 00:44:48,920 --> 00:44:52,319 Speaker 1: you like to see California do? Probably speaking, I want 755 00:44:52,320 --> 00:44:55,640 Speaker 1: California to be the state where working moms want to 756 00:44:55,719 --> 00:44:58,600 Speaker 1: raise their families. UM. I really, and I think that 757 00:44:58,680 --> 00:45:02,000 Speaker 1: we're actually taking rate strides um in that direction. I'm 758 00:45:02,000 --> 00:45:04,480 Speaker 1: really proud of the work again that we've been doing 759 00:45:04,520 --> 00:45:09,600 Speaker 1: with regards to pay equity and women in public company boards. Again, UM, 760 00:45:09,680 --> 00:45:11,960 Speaker 1: we're leading the nation and now we're a world leader 761 00:45:12,000 --> 00:45:13,840 Speaker 1: when it comes to women in public company boards. I mean, 762 00:45:13,920 --> 00:45:16,799 Speaker 1: the strongest equal pay laws in the nation, UM, just 763 00:45:16,960 --> 00:45:20,960 Speaker 1: as I think we have incredible um UM laws related 764 00:45:21,000 --> 00:45:24,919 Speaker 1: to sexual harassment and assault, and so I do think 765 00:45:25,000 --> 00:45:30,080 Speaker 1: that we're creating environments where women can thrive. And we're 766 00:45:30,120 --> 00:45:33,239 Speaker 1: also so invested in ensuring that kids get the best 767 00:45:33,280 --> 00:45:35,240 Speaker 1: start in life. So part of my work is also 768 00:45:35,320 --> 00:45:39,440 Speaker 1: around UM children's mental health and ensuring kids get the 769 00:45:39,440 --> 00:45:42,120 Speaker 1: best nutrition and spend time and outdoors in our states 770 00:45:42,160 --> 00:45:45,080 Speaker 1: parks and UM. I'm also cheering the physical fitness and 771 00:45:45,080 --> 00:45:47,520 Speaker 1: mental health counsel and so there's a lot coming out 772 00:45:47,520 --> 00:45:50,680 Speaker 1: of there. Really. Again, I'm just really excited for California 773 00:45:50,719 --> 00:45:54,120 Speaker 1: to be a leader UM in terms of centering women's 774 00:45:54,160 --> 00:45:59,920 Speaker 1: perspectives and experiences and making sure that their families really thrive. Well, 775 00:46:00,239 --> 00:46:02,279 Speaker 1: speaking of children, I have to ask you before you 776 00:46:02,320 --> 00:46:07,760 Speaker 1: go about this absolutely horrific shooting in Yuvaldi, Texas, where 777 00:46:07,880 --> 00:46:12,120 Speaker 1: uh an eighteen year old shooter gunned down fifteen people 778 00:46:12,360 --> 00:46:15,960 Speaker 1: fourteen of them we believe to be elementary school students 779 00:46:16,000 --> 00:46:19,319 Speaker 1: in addition to their teacher. What is what is your 780 00:46:19,320 --> 00:46:26,360 Speaker 1: reaction to this? Uh? I want to cry. Um, it's horrifying. 781 00:46:27,200 --> 00:46:33,680 Speaker 1: I'm a mother of four. UM. We guns are a major, major, 782 00:46:33,760 --> 00:46:37,880 Speaker 1: major problem in our country. Toxic masculinity is a major, 783 00:46:37,960 --> 00:46:42,160 Speaker 1: major major problem in our country. Misinformation is a major 784 00:46:42,239 --> 00:46:46,680 Speaker 1: major problem in our country. Mental health is a major problem. 785 00:46:46,719 --> 00:46:50,000 Speaker 1: But guns and ammunition kill people, and they don't belong 786 00:46:50,040 --> 00:46:54,920 Speaker 1: in the hands of people that UM have extreme beliefs, 787 00:46:55,360 --> 00:46:59,920 Speaker 1: have a lot of hate. UM are are bigots, are racist, 788 00:47:00,239 --> 00:47:03,799 Speaker 1: are sexists, are violent offenders. They don't belong in their hands, 789 00:47:03,840 --> 00:47:07,000 Speaker 1: and semi automagmatic weapons definitely do not belong in their hands. 790 00:47:07,000 --> 00:47:11,360 Speaker 1: So I'm a firm believer in common sense gun laws. 791 00:47:11,480 --> 00:47:13,720 Speaker 1: And again, I think California has been leading the nation, 792 00:47:14,440 --> 00:47:17,600 Speaker 1: and some conservative judges have been challenging us. But I'm 793 00:47:17,600 --> 00:47:19,440 Speaker 1: really proud of what we've done and what the governor 794 00:47:19,440 --> 00:47:23,880 Speaker 1: has done with regards to common sense gun legislation. And 795 00:47:24,280 --> 00:47:28,240 Speaker 1: I my heart goes out to every child and family member, 796 00:47:29,000 --> 00:47:35,279 Speaker 1: UM who has been impacted. Uh, it's horrible, indeed, it is. 797 00:47:35,640 --> 00:47:39,480 Speaker 1: It is absolutely horrifying UM. Jennifer Siebel Newsom, California's first 798 00:47:39,480 --> 00:47:42,239 Speaker 1: partner co founder of the California Partner's Project, thank you 799 00:47:42,320 --> 00:47:45,880 Speaker 1: for sharing your thoughts here with us, and I just 800 00:47:45,920 --> 00:47:48,600 Speaker 1: want to lay out what we know again about this 801 00:47:48,880 --> 00:47:54,520 Speaker 1: shooting in Uvalde, Texas. Fifteen people killed so far, fourteen 802 00:47:54,600 --> 00:47:58,200 Speaker 1: of them children in addition to their teacher. According to 803 00:47:58,239 --> 00:48:01,640 Speaker 1: the Governor of Texas UH, the shooter was an eight 804 00:48:01,960 --> 00:48:06,280 Speaker 1: teen year old person who was shot and killed by police. 805 00:48:06,320 --> 00:48:11,439 Speaker 1: A couple of police were also injured, but they were 806 00:48:11,520 --> 00:48:17,480 Speaker 1: not killed. UM. We're continuing to follow everything that UH 807 00:48:17,840 --> 00:48:22,080 Speaker 1: is happening at this UM, the site of this shooting 808 00:48:22,080 --> 00:48:24,440 Speaker 1: in Uvaldi, Texas, and will continue to bring you more 809 00:48:24,480 --> 00:48:31,840 Speaker 1: details as we have them. This is Bloomberg. We're continuing 810 00:48:31,880 --> 00:48:36,880 Speaker 1: to cover breaking headlines out of the shooting scene in Uvaldi, Texas, 811 00:48:36,920 --> 00:48:40,280 Speaker 1: where fourteen elementary school students have been killed in addition 812 00:48:40,320 --> 00:48:44,120 Speaker 1: to their teacher. The shooting suspect and eighteen year old 813 00:48:44,120 --> 00:48:48,600 Speaker 1: man also killed by police. Again, we'll bring you more 814 00:48:48,640 --> 00:48:51,560 Speaker 1: details as we have them. I do want to move 815 00:48:51,600 --> 00:48:54,040 Speaker 1: on to some of the other stories of the day 816 00:48:54,120 --> 00:48:58,040 Speaker 1: and our crypto rapport. Crypto keeping a low profile In 817 00:48:58,080 --> 00:49:01,960 Speaker 1: midst of this broader market meltdown, Bitcoin falling to a 818 00:49:02,120 --> 00:49:07,680 Speaker 1: daily average below d dollars. Bitcoins moves showcasing a fairly 819 00:49:07,719 --> 00:49:11,920 Speaker 1: strong correlation between cryptocurrencies and other equities, even more so 820 00:49:12,480 --> 00:49:15,319 Speaker 1: uh than between the coin and tech stocks. This is 821 00:49:15,360 --> 00:49:19,680 Speaker 1: institutional investors still spooked by that Tara Luna collapse. Kristin 822 00:49:19,760 --> 00:49:23,160 Speaker 1: Smith from the Blockchain Association Join My colleague Kayley Lines 823 00:49:23,239 --> 00:49:29,400 Speaker 1: earlier in Davos talked about what it all means. I 824 00:49:29,440 --> 00:49:32,560 Speaker 1: think there are two primary issue shoes that get the 825 00:49:32,560 --> 00:49:36,080 Speaker 1: most attention for regulators. The first is having a way 826 00:49:36,120 --> 00:49:39,759 Speaker 1: to regulate the spot markets. Today crypto exchanges in the 827 00:49:39,840 --> 00:49:44,800 Speaker 1: US have money transmitter licenses, which isn't exactly directly related 828 00:49:44,840 --> 00:49:47,480 Speaker 1: to what they do most um. Instead, I think what 829 00:49:47,560 --> 00:49:51,080 Speaker 1: we need to see as a single uniform federal regulator. Uh. 830 00:49:51,120 --> 00:49:54,200 Speaker 1: The other issue is stable coin regulation, and there are 831 00:49:54,239 --> 00:49:57,760 Speaker 1: many different types of stable coins and having disclosures around 832 00:49:58,200 --> 00:50:01,360 Speaker 1: what are in those reserve is. Having audits of those 833 00:50:01,520 --> 00:50:04,520 Speaker 1: and making that information available to consumers would go a 834 00:50:04,520 --> 00:50:09,640 Speaker 1: long way towards preventing something like the Ust collapse. Kristen, 835 00:50:09,840 --> 00:50:13,600 Speaker 1: to what extent do you think that blockchain technology cryptocurrencies 836 00:50:13,640 --> 00:50:16,719 Speaker 1: at large have a reputation problem on Capitol Hill. I'm 837 00:50:16,760 --> 00:50:21,040 Speaker 1: just wondering how much is about perception versus real understanding 838 00:50:21,320 --> 00:50:23,759 Speaker 1: of how these ecosystems work. What is your sense on 839 00:50:23,800 --> 00:50:28,160 Speaker 1: how how great the level of understanding really is among lawmakers. 840 00:50:31,600 --> 00:50:34,600 Speaker 1: You know, we've made a tremendous amount of progress if 841 00:50:34,600 --> 00:50:36,799 Speaker 1: you compare where we're a year ago to where we 842 00:50:36,840 --> 00:50:41,080 Speaker 1: are today. The overall basic level of education and policymakers 843 00:50:41,080 --> 00:50:43,919 Speaker 1: have about this asset class has written quite a bit 844 00:50:44,200 --> 00:50:47,040 Speaker 1: the challenges that this is such a fast moving industry 845 00:50:47,080 --> 00:50:50,400 Speaker 1: that's constantly evolving and constantly changing, that it takes a 846 00:50:50,400 --> 00:50:53,239 Speaker 1: lot of work for these policymakers to keep up. But 847 00:50:53,360 --> 00:50:56,400 Speaker 1: I think what policymakers on Capitol Hill realize is that 848 00:50:56,480 --> 00:50:59,759 Speaker 1: they have constituents in their district that are investing in 849 00:50:59,800 --> 00:51:03,120 Speaker 1: the assets that are building on top of these blockchains, 850 00:51:03,400 --> 00:51:06,160 Speaker 1: and they're very passionate when it comes to public policy 851 00:51:06,200 --> 00:51:09,080 Speaker 1: in this space. And so I think we've caught as 852 00:51:09,120 --> 00:51:12,400 Speaker 1: an industry and as an ecosystem, we've caught the attention 853 00:51:12,400 --> 00:51:15,560 Speaker 1: of Congress, and with the exception of a few outliers, 854 00:51:15,680 --> 00:51:19,239 Speaker 1: most of them are, if not already crypto champions. They 855 00:51:19,280 --> 00:51:21,759 Speaker 1: are crypto curious and they want to learn about this. 856 00:51:21,880 --> 00:51:24,440 Speaker 1: So I think it's incumbent upon us in the industry 857 00:51:24,760 --> 00:51:27,400 Speaker 1: and in the crypto ecosystem to make sure that they 858 00:51:27,440 --> 00:51:29,840 Speaker 1: continue to grow and learn and understand. And that's a 859 00:51:29,840 --> 00:51:32,080 Speaker 1: lot of what we do here at the Blockchain Association. 860 00:51:33,680 --> 00:51:36,480 Speaker 1: Christ And Smiths of the Blockchain Association there with my 861 00:51:36,520 --> 00:51:40,080 Speaker 1: colleague Kaylee Lines, will have much more on Bloomberg technology next. UM, 862 00:51:40,120 --> 00:51:42,960 Speaker 1: I do want to move on to Amazon Web Services. 863 00:51:43,000 --> 00:51:46,080 Speaker 1: There's an AWS summit underway now in Washington, d C. 864 00:51:46,360 --> 00:51:49,680 Speaker 1: Taking a deep dive into how public sector organizations are 865 00:51:49,760 --> 00:51:53,560 Speaker 1: using and can use the cloud to innovate and enhance 866 00:51:53,640 --> 00:51:56,799 Speaker 1: their digital transformations. Here to talk about that and more. 867 00:51:56,880 --> 00:52:00,200 Speaker 1: AWS Vice President of Worldwide Public Sector Max Peter Sin 868 00:52:00,680 --> 00:52:04,280 Speaker 1: Max give us a status check or a report card 869 00:52:04,960 --> 00:52:08,239 Speaker 1: of sorts on how companies are managing this digital transformation, 870 00:52:08,320 --> 00:52:12,120 Speaker 1: especially as we come out of the pandemic. That's a 871 00:52:12,160 --> 00:52:15,480 Speaker 1: great question. Thanks Emily. We've had over seventeen thousand people 872 00:52:15,560 --> 00:52:18,800 Speaker 1: registered to attend the Public Sector Summit here in Washington, 873 00:52:18,960 --> 00:52:22,399 Speaker 1: d C. To understand exactly that question and a couple 874 00:52:22,440 --> 00:52:26,720 Speaker 1: of significant ways that people are transforming. UM public sector 875 00:52:26,760 --> 00:52:29,400 Speaker 1: business is in terms of speed. Let me give you 876 00:52:29,440 --> 00:52:33,840 Speaker 1: one quick example. At the in the uh University of 877 00:52:33,840 --> 00:52:38,040 Speaker 1: British Columbium, they were working to solve the COVID pandemic 878 00:52:38,040 --> 00:52:40,600 Speaker 1: problems that we've all had. They had to turn to 879 00:52:40,680 --> 00:52:43,760 Speaker 1: AWS to be able to provide some immense computing power, 880 00:52:44,160 --> 00:52:46,160 Speaker 1: and what they were able to do was take six 881 00:52:46,200 --> 00:52:51,600 Speaker 1: million public records about health information, put him into AWS 882 00:52:51,600 --> 00:52:54,799 Speaker 1: where they were able to take these records and take 883 00:52:54,840 --> 00:52:57,200 Speaker 1: what would have been a lengthy process, compress it to 884 00:52:57,239 --> 00:53:00,319 Speaker 1: eleven days, and be able to identify set the new 885 00:53:00,360 --> 00:53:05,160 Speaker 1: coronavirus variants. That's the sort of power that AWS gives 886 00:53:05,239 --> 00:53:09,840 Speaker 1: researchers to understand and solve big problems. You're also announcing 887 00:53:09,840 --> 00:53:16,400 Speaker 1: a new healthcare Accelerator that will look at specific healthcare startups. 888 00:53:16,400 --> 00:53:18,799 Speaker 1: What are the goals for AWS when it comes to 889 00:53:19,080 --> 00:53:22,799 Speaker 1: the healthcare sector specifically, Yeah, that's a great question. The 890 00:53:22,800 --> 00:53:27,000 Speaker 1: Healthcare Accelerator is really designed to help small businesses who 891 00:53:27,040 --> 00:53:31,920 Speaker 1: are really innovative get a four week intensive on AWS. 892 00:53:31,960 --> 00:53:34,840 Speaker 1: We give them cloud credits, we give them technical assistance, 893 00:53:34,920 --> 00:53:38,520 Speaker 1: We connect them with others in the healthcare industry, all 894 00:53:38,600 --> 00:53:42,680 Speaker 1: to create new solutions. We find that these startup accelerators 895 00:53:42,719 --> 00:53:46,040 Speaker 1: are the things that really generate tremendous new opportunities and 896 00:53:46,120 --> 00:53:49,920 Speaker 1: solve really big problems in very innovative ways. We're excited 897 00:53:49,960 --> 00:53:53,200 Speaker 1: to announce it here. This accelerator is focused on health 898 00:53:53,239 --> 00:53:56,960 Speaker 1: equity in particular, and it's open for applications for now 899 00:53:57,040 --> 00:54:01,520 Speaker 1: until July one. So, you know, I'm so curious for 900 00:54:01,520 --> 00:54:04,160 Speaker 1: your thoughts on the labor market and how it's shifting now, 901 00:54:04,560 --> 00:54:07,920 Speaker 1: especially as so many companies are now competing for talent 902 00:54:08,400 --> 00:54:11,920 Speaker 1: and companies in the clouds specifically. Are what are the 903 00:54:12,000 --> 00:54:16,200 Speaker 1: interesting trends that you're seeing. Yes, well, I would start 904 00:54:16,200 --> 00:54:19,680 Speaker 1: off by saying that there is a well recognized shortage 905 00:54:19,680 --> 00:54:21,759 Speaker 1: and tech skills, and it's one of the reasons why 906 00:54:21,800 --> 00:54:25,960 Speaker 1: Amazon took action back in to announce our program to 907 00:54:26,000 --> 00:54:30,120 Speaker 1: skill up twenty nine million people with three cloud skills. 908 00:54:31,640 --> 00:54:33,840 Speaker 1: Of course, as a result of the pandemic, there was 909 00:54:33,880 --> 00:54:39,560 Speaker 1: a temporary increase in the difficulty of obtaining and retaining focus. 910 00:54:39,600 --> 00:54:41,799 Speaker 1: But as we've come out of the pandemic, we're starting 911 00:54:41,840 --> 00:54:45,799 Speaker 1: to see these return to more normal circumstances. But I 912 00:54:45,840 --> 00:54:48,200 Speaker 1: think the key for all of us is to focus 913 00:54:48,239 --> 00:54:52,960 Speaker 1: on continued skilling, whether it is UH early age like 914 00:54:52,960 --> 00:54:57,759 Speaker 1: our get I T program which targets UH fourteen year olds, 915 00:54:57,840 --> 00:55:00,520 Speaker 1: largely targets women to be able to get them into 916 00:55:00,560 --> 00:55:04,040 Speaker 1: tech skills, whether it's at the university level than at 917 00:55:04,200 --> 00:55:07,880 Speaker 1: a WS academy, or whether it's with states that worked 918 00:55:07,920 --> 00:55:13,520 Speaker 1: upon workforce training programs. Okay, Max Peterson AWS, Max, thank 919 00:55:13,600 --> 00:55:16,600 Speaker 1: you for your views across all of that. This is 920 00:55:16,600 --> 00:55:17,160 Speaker 1: Bloomberg