1 00:00:02,200 --> 00:00:05,600 Speaker 1: From the heart of where innovation, money and power collive 2 00:00:06,320 --> 00:00:10,880 Speaker 1: in Silicon Vallet and beyond. This is Bloomberg Technology with 3 00:00:10,920 --> 00:00:26,720 Speaker 1: Emily Jay. I'm Emily changing Chan Francisco in this sis 4 00:00:26,720 --> 00:00:29,640 Speaker 1: Bloomberg Technology coming up in the next hour. Apple announces 5 00:00:29,640 --> 00:00:32,559 Speaker 1: a rare sales promotion for the iPhone in China. But 6 00:00:32,840 --> 00:00:36,920 Speaker 1: is the discount a bad sign? We'll discuss plus. On 7 00:00:36,960 --> 00:00:40,320 Speaker 1: the latest episode of Keeping Up with TikTok, Meta introduces 8 00:00:40,360 --> 00:00:42,920 Speaker 1: a new revenue sharing feature to help creators make more 9 00:00:42,960 --> 00:00:46,120 Speaker 1: money from videos set to music. What it all means 10 00:00:46,159 --> 00:00:51,400 Speaker 1: for Facebooks and Instagram's efforts to outrun TikTok and the 11 00:00:51,440 --> 00:00:54,160 Speaker 1: flight of tech workers may well be leaving a hole 12 00:00:54,360 --> 00:00:57,520 Speaker 1: in San Francisco. Kanda City recover or the Silicon Valley 13 00:00:57,560 --> 00:01:01,480 Speaker 1: need to start rethinking reinventing itself as a tech huck. 14 00:01:01,920 --> 00:01:04,080 Speaker 1: We'll talk about that later this hour. All of that 15 00:01:04,120 --> 00:01:05,280 Speaker 1: in a moment, But first, I want to get a 16 00:01:05,280 --> 00:01:07,120 Speaker 1: look at Walmart. I want to bring in our Bloombook 17 00:01:07,080 --> 00:01:10,319 Speaker 1: consumer team leader John Edwards. John, what's I take on 18 00:01:10,520 --> 00:01:14,399 Speaker 1: these results? Uh? Well, yeah, it's it's uh, you know, 19 00:01:14,520 --> 00:01:17,360 Speaker 1: obviously to some extent of a surprise, given that Walmart 20 00:01:17,440 --> 00:01:23,360 Speaker 1: had expressed confidence uh previously in how it would handle uh, 21 00:01:23,400 --> 00:01:26,000 Speaker 1: you know, bringing its inventories down. You know, it was 22 00:01:26,080 --> 00:01:29,840 Speaker 1: something of a contrast with Target, which had uh, you know, 23 00:01:30,160 --> 00:01:34,440 Speaker 1: moved aggressively to start, you know, cutting prices more quickly 24 00:01:34,600 --> 00:01:37,720 Speaker 1: to really you know, slash those inventories which have had 25 00:01:37,760 --> 00:01:40,640 Speaker 1: built up at a lot of retailers. Walmart had said 26 00:01:40,680 --> 00:01:42,959 Speaker 1: that it would sort of let them ease down over 27 00:01:43,000 --> 00:01:45,080 Speaker 1: the next couple of quarters. But I think what they're 28 00:01:45,120 --> 00:01:51,040 Speaker 1: seeing is that consumers are even more hit by the 29 00:01:51,320 --> 00:01:55,960 Speaker 1: high inflation than they had expected at Walmart, and so uh, 30 00:01:56,000 --> 00:01:58,760 Speaker 1: you know, they are also having to move more aggressively 31 00:01:58,800 --> 00:02:03,840 Speaker 1: than they had hoped and thus cut prices uh deeper 32 00:02:03,840 --> 00:02:07,720 Speaker 1: than they had hoped to and um and thus you know, 33 00:02:07,760 --> 00:02:12,640 Speaker 1: cut into margins. This from Walmart CEO Doug McMillan. He 34 00:02:12,639 --> 00:02:15,639 Speaker 1: says the increasing levels of food and fuel inflation are 35 00:02:15,639 --> 00:02:19,800 Speaker 1: affecting how customers spend. We're now anticipating more pressure on 36 00:02:19,880 --> 00:02:22,240 Speaker 1: general merchandise in the back half. I mean, this isn't 37 00:02:22,240 --> 00:02:25,440 Speaker 1: going to assuage any fears about a recession, is it. 38 00:02:25,480 --> 00:02:28,080 Speaker 1: I mean, isn't this going to have potentially a big 39 00:02:28,160 --> 00:02:31,160 Speaker 1: impact on markets across the board. Yeah, No, I think 40 00:02:31,160 --> 00:02:34,200 Speaker 1: people are going to be pretty concerned by this because 41 00:02:34,280 --> 00:02:37,200 Speaker 1: you know, again, Walmart you know, had been you know 42 00:02:37,360 --> 00:02:41,680 Speaker 1: out there, uh you know, speaking you know, pretty uh 43 00:02:41,720 --> 00:02:44,120 Speaker 1: brashly about you know, how it was going to be 44 00:02:44,160 --> 00:02:47,400 Speaker 1: able to handle this, uh, this situation without taking any 45 00:02:47,480 --> 00:02:51,240 Speaker 1: drastic steps and uh but you know what, as as 46 00:02:51,320 --> 00:02:54,600 Speaker 1: McMillan was saying there, what they're seeing is that, um, 47 00:02:55,120 --> 00:02:58,520 Speaker 1: you know, the shift in in consumer behavior, which you know, 48 00:02:58,840 --> 00:03:02,120 Speaker 1: um is part of what led to the inventory build 49 00:03:02,160 --> 00:03:05,760 Speaker 1: up in the first place, as people started, uh going 50 00:03:05,800 --> 00:03:09,560 Speaker 1: out more and shifting away from the sort of spending 51 00:03:09,600 --> 00:03:11,680 Speaker 1: on the house and home that they've been doing in 52 00:03:11,720 --> 00:03:15,680 Speaker 1: the past. Now a further shift is happening as people realize, 53 00:03:15,720 --> 00:03:18,520 Speaker 1: you know, these uh you know, food prices and fuel 54 00:03:18,560 --> 00:03:21,600 Speaker 1: prices are really hurting them, and so they're shifting away 55 00:03:21,639 --> 00:03:25,640 Speaker 1: from big ticket items, continuing to spend on food and 56 00:03:25,760 --> 00:03:28,399 Speaker 1: things that they have to that they have to buy. 57 00:03:28,440 --> 00:03:33,799 Speaker 1: But you know, the margins are are lower on this. Yes, indeed, 58 00:03:33,800 --> 00:03:36,520 Speaker 1: Well the pressure is on. John. I really appreciate you 59 00:03:36,600 --> 00:03:38,920 Speaker 1: sharing some extra context there. I'm gonna let you get 60 00:03:38,960 --> 00:03:42,560 Speaker 1: back to covering those Walmart results. John Edwards, whose leads 61 00:03:42,560 --> 00:03:46,160 Speaker 1: are US consumer tech team at Bloomberg. Thank you, um. 62 00:03:46,360 --> 00:03:49,800 Speaker 1: Walmart's results not going to help quell any anxiety among 63 00:03:49,840 --> 00:03:52,839 Speaker 1: tech investors as we await more earnings this week, We're 64 00:03:52,840 --> 00:03:56,560 Speaker 1: expecting results from Apple, Alphabet, Amazon, Meta, all of which 65 00:03:56,600 --> 00:03:59,160 Speaker 1: could give more of an indication about just how large 66 00:03:59,520 --> 00:04:02,880 Speaker 1: or rest looms. Meantime, the market turmoil has sealed, the 67 00:04:02,920 --> 00:04:05,800 Speaker 1: I p O window almost completely shut. At this rate, 68 00:04:06,480 --> 00:04:09,120 Speaker 1: two will be one of the quietest years for public 69 00:04:09,160 --> 00:04:11,720 Speaker 1: offerings in recent memory. For more on this, I want 70 00:04:11,720 --> 00:04:13,680 Speaker 1: to bring in Phil has Like, founder and chief strategy 71 00:04:13,760 --> 00:04:17,919 Speaker 1: officer at Equities and Securities. So, Phil, I assume this 72 00:04:18,000 --> 00:04:20,440 Speaker 1: walmartin news not going to help. The I p O 73 00:04:20,480 --> 00:04:23,839 Speaker 1: window just gonna stay even tight more tightly shut, right. 74 00:04:24,760 --> 00:04:27,080 Speaker 1: I think that's absolutely right. This is kind of just 75 00:04:27,160 --> 00:04:29,760 Speaker 1: another month of more kind of hits to the ip 76 00:04:29,839 --> 00:04:32,719 Speaker 1: O market and its prospects. You know, Walmart maybe think 77 00:04:32,800 --> 00:04:35,720 Speaker 1: like a different company compared to technology companies where it's 78 00:04:35,760 --> 00:04:38,560 Speaker 1: selling milk and staples, but that's still going to feed 79 00:04:38,560 --> 00:04:41,000 Speaker 1: through to other companies as well. I think the real 80 00:04:41,040 --> 00:04:42,960 Speaker 1: eye is going to be on some of these tech stocks, 81 00:04:42,960 --> 00:04:45,080 Speaker 1: and as they report later to the week, I'm sure, 82 00:04:45,120 --> 00:04:47,920 Speaker 1: a lot of bankers and companies that were hoping to 83 00:04:47,960 --> 00:04:51,640 Speaker 1: tap the markets are waiting with dated breath. So are 84 00:04:52,160 --> 00:04:54,320 Speaker 1: is the I p O windows shut across the board 85 00:04:54,320 --> 00:04:56,640 Speaker 1: for all kinds of companies? Or for example, with this 86 00:04:56,680 --> 00:04:59,080 Speaker 1: walmartin news, does it more effect companies that are focused 87 00:04:59,120 --> 00:05:02,919 Speaker 1: on e commerce or you know, is this something happening 88 00:05:02,920 --> 00:05:06,320 Speaker 1: more broadly? Yeah, I think that's totally right. You know, 89 00:05:06,720 --> 00:05:09,760 Speaker 1: we we define so many different companies of being in technology, 90 00:05:09,839 --> 00:05:12,720 Speaker 1: So I think any company that's related to consumer spending, 91 00:05:12,960 --> 00:05:16,240 Speaker 1: maybe it's coming up with solutions for aviation or or 92 00:05:16,520 --> 00:05:18,640 Speaker 1: or groceries are going to be severely impacted. But on 93 00:05:18,640 --> 00:05:20,000 Speaker 1: the other hand, you've got a lot of companies that 94 00:05:20,040 --> 00:05:22,680 Speaker 1: are actually selling direct to enterprises, right, You've got traditional 95 00:05:22,720 --> 00:05:25,720 Speaker 1: software companies, they'll feel less impact from the Walmart news 96 00:05:25,800 --> 00:05:27,280 Speaker 1: that they're going to keep a really close eye on 97 00:05:27,320 --> 00:05:30,000 Speaker 1: some of the bigger tech names as they report. Um. However, 98 00:05:30,120 --> 00:05:32,160 Speaker 1: you know, it's it's kind of a perfect storm where 99 00:05:32,160 --> 00:05:36,640 Speaker 1: we've got still continuing uncertainty about inflation, you've got really 100 00:05:36,640 --> 00:05:39,880 Speaker 1: tough earnings updates and guidance given from companies like Walmart 101 00:05:39,880 --> 00:05:42,400 Speaker 1: and even Snap last week. Uh, and you've also got 102 00:05:42,400 --> 00:05:44,640 Speaker 1: a historically really slow part of the year for I 103 00:05:44,720 --> 00:05:46,040 Speaker 1: p O s as well, So that kind of all 104 00:05:46,080 --> 00:05:48,240 Speaker 1: comes together and you're probably not seeing anything go out 105 00:05:48,240 --> 00:05:51,599 Speaker 1: the door until key four KKR told the information that 106 00:05:51,680 --> 00:05:54,200 Speaker 1: I p O s are a year away. How far 107 00:05:54,240 --> 00:05:56,960 Speaker 1: away do you think they are? I think that's about right. 108 00:05:57,040 --> 00:06:00,120 Speaker 1: I think you've got companies that are preparing everything if 109 00:06:00,160 --> 00:06:02,520 Speaker 1: if the economy does turn around a little bit more quickly. 110 00:06:02,560 --> 00:06:05,200 Speaker 1: You've got UH finance teams at each of these pre 111 00:06:05,320 --> 00:06:06,800 Speaker 1: I p O companies. You know, we speak to them 112 00:06:06,800 --> 00:06:08,840 Speaker 1: a lot, and and they're gearing up to be ready 113 00:06:08,839 --> 00:06:10,960 Speaker 1: when that window kind of comes available. Maybe there's an 114 00:06:10,960 --> 00:06:13,880 Speaker 1: opportunity to que for for the strongest, most marquee names, 115 00:06:14,040 --> 00:06:16,680 Speaker 1: the companies that everyone's super familiar with UM. But other 116 00:06:16,720 --> 00:06:18,800 Speaker 1: than that, I tend to agree it's probably not going 117 00:06:18,880 --> 00:06:23,920 Speaker 1: to be until the closed IPO window. Is creating some 118 00:06:23,960 --> 00:06:28,200 Speaker 1: tension between employees and employers. You've got all of these 119 00:06:28,200 --> 00:06:31,440 Speaker 1: employees working at these startups who thought maybe they were 120 00:06:31,440 --> 00:06:34,200 Speaker 1: going to get an exit and soon that's not happening. 121 00:06:34,600 --> 00:06:38,640 Speaker 1: What are you seeing happening below the surface. Sure, so 122 00:06:38,680 --> 00:06:40,320 Speaker 1: it equities and we have a really good lens and 123 00:06:40,360 --> 00:06:43,480 Speaker 1: to kind of the feelings and the sentiment of employees 124 00:06:43,480 --> 00:06:45,400 Speaker 1: that hold these shares, and a lot of the conversations 125 00:06:45,400 --> 00:06:48,240 Speaker 1: that those employees had with their employer last year was 126 00:06:48,279 --> 00:06:50,480 Speaker 1: that everything's great, We're raising a lot of money, We're 127 00:06:50,480 --> 00:06:52,719 Speaker 1: gonna be able to go public soon and get liquidity, 128 00:06:52,760 --> 00:06:54,880 Speaker 1: and that's certainly not the case. And it's actually being 129 00:06:55,200 --> 00:06:57,200 Speaker 1: kind of exacerbated by the fact that there's been some 130 00:06:57,279 --> 00:07:01,040 Speaker 1: recent news coming out from some companies where insiders, mainly 131 00:07:01,080 --> 00:07:03,680 Speaker 1: executives or founders, actually took a lot of chips off 132 00:07:03,680 --> 00:07:05,840 Speaker 1: the table in two thousand twenty one and better times, 133 00:07:06,040 --> 00:07:08,359 Speaker 1: but didn't make that available to employees. And to me, 134 00:07:08,480 --> 00:07:10,480 Speaker 1: that's kind of serving is a bit of few on 135 00:07:10,520 --> 00:07:13,720 Speaker 1: the fire for what I imagine will be uh probably 136 00:07:13,760 --> 00:07:16,040 Speaker 1: an uprising is a bit extreme, but I think a 137 00:07:16,040 --> 00:07:18,840 Speaker 1: big movement from employees to ask their employers for more 138 00:07:18,840 --> 00:07:21,640 Speaker 1: opportunities for liquidity since it's so important, you know, in 139 00:07:21,680 --> 00:07:25,240 Speaker 1: the spurring economy. Right there's the company Data Robot. The 140 00:07:25,280 --> 00:07:32,800 Speaker 1: CEO just reportedly resigned there in part due to share 141 00:07:32,840 --> 00:07:35,680 Speaker 1: sales that executives were allowed to do that longtime lower 142 00:07:35,720 --> 00:07:38,960 Speaker 1: level employees were not allowed to do. What are the 143 00:07:39,000 --> 00:07:41,400 Speaker 1: ripple effects to see that you see happening here. I mean, 144 00:07:41,400 --> 00:07:44,040 Speaker 1: do you think employees will start walking out looking for 145 00:07:44,080 --> 00:07:46,360 Speaker 1: other jobs or do they not? There are there not 146 00:07:46,440 --> 00:07:49,160 Speaker 1: a lot of choices right now because the market is 147 00:07:49,200 --> 00:07:52,760 Speaker 1: so tight and you've got tech hiring freezes and layoffs 148 00:07:52,800 --> 00:07:56,760 Speaker 1: happening across the board. Well, if you ask any recruiter 149 00:07:56,800 --> 00:07:59,400 Speaker 1: at a you know, a venture back company, if it's 150 00:07:59,400 --> 00:08:01,720 Speaker 1: become easy or too higher engineers, it has not been. 151 00:08:01,840 --> 00:08:05,000 Speaker 1: So I think that the job market for those types 152 00:08:05,000 --> 00:08:07,280 Speaker 1: of folks is still really, really hot, and so I 153 00:08:07,280 --> 00:08:09,160 Speaker 1: think there will be some voting with their feet. The 154 00:08:09,240 --> 00:08:11,800 Speaker 1: data robot situation in particular was really bad in the 155 00:08:11,840 --> 00:08:13,920 Speaker 1: sense that these were executives that only joined the company 156 00:08:13,960 --> 00:08:15,960 Speaker 1: two years ago or so, you know at equities, and 157 00:08:16,080 --> 00:08:18,320 Speaker 1: we see founders that take chips off the table after 158 00:08:18,480 --> 00:08:20,240 Speaker 1: they've put their blood, sweat and tears and built the 159 00:08:20,280 --> 00:08:22,600 Speaker 1: business for the last eight, nine, time eleven years. And 160 00:08:22,640 --> 00:08:24,880 Speaker 1: I think that's actually pretty well received by employees and 161 00:08:24,880 --> 00:08:27,560 Speaker 1: it seems very justified. Um, but when you see some 162 00:08:27,600 --> 00:08:30,120 Speaker 1: senior executive haven't been around very long, that's what really 163 00:08:30,120 --> 00:08:33,800 Speaker 1: frustrates people. So I think, uh, founders and CEOs really 164 00:08:33,800 --> 00:08:36,960 Speaker 1: have a choice. You can be reactive and uh, you know, 165 00:08:37,040 --> 00:08:38,960 Speaker 1: hope that employees stick around, or you can be proactive 166 00:08:38,960 --> 00:08:41,480 Speaker 1: and start talking about liquidity um because it is a 167 00:08:41,559 --> 00:08:44,880 Speaker 1: valve that companies can use to retain their best, uh, 168 00:08:45,240 --> 00:08:48,000 Speaker 1: their best employees without having to dig into more money 169 00:08:48,080 --> 00:08:50,079 Speaker 1: out of their you know, their balance sheets that are 170 00:08:50,200 --> 00:08:52,160 Speaker 1: obviously getting hurt right now in the current economy. So 171 00:08:52,160 --> 00:08:53,720 Speaker 1: I think it's kind of a win win for everyone. 172 00:08:54,600 --> 00:08:56,839 Speaker 1: All Right, Well, it's good to hear about some win 173 00:08:56,960 --> 00:09:00,040 Speaker 1: wins in a situation where it sounds like there's a 174 00:09:00,040 --> 00:09:03,880 Speaker 1: lot of lose losing happening. Equities and Securities Founder and 175 00:09:03,920 --> 00:09:06,120 Speaker 1: CHI strategy officer Phil has always good to have your 176 00:09:06,120 --> 00:09:09,520 Speaker 1: context here on the show. Thanks coming up, iPhones for 177 00:09:09,559 --> 00:09:13,480 Speaker 1: sale but only in China. We will explain why next 178 00:09:13,760 --> 00:09:26,839 Speaker 1: this is Bloomberg. Well, in an unusual move, Apple is 179 00:09:26,880 --> 00:09:30,360 Speaker 1: offering a discount for a slew of products, but only 180 00:09:30,400 --> 00:09:33,320 Speaker 1: in China. iPhones, Apple watches, and air pods will be 181 00:09:33,360 --> 00:09:35,960 Speaker 1: on sale in China for four days as the company 182 00:09:35,960 --> 00:09:38,880 Speaker 1: prepares to roll out the next generation of Apple devices. 183 00:09:39,160 --> 00:09:41,640 Speaker 1: The discounts come as China's economy struggles under the weight 184 00:09:41,679 --> 00:09:45,280 Speaker 1: of multiple COVID lockdowns are Markerman, of course covers all 185 00:09:45,320 --> 00:09:48,839 Speaker 1: things Apple. So this is fairly rare, isn't it, Mark 186 00:09:49,920 --> 00:09:52,079 Speaker 1: This is incredibly rare, right, I mean, right now, in 187 00:09:52,160 --> 00:09:55,439 Speaker 1: the United States, Apples gearing up for a tax holiday. Right, 188 00:09:55,480 --> 00:09:57,080 Speaker 1: so in a handful of states you'll be able to 189 00:09:57,120 --> 00:10:01,280 Speaker 1: buy select Apple products without paying tax. You have Singles 190 00:10:01,360 --> 00:10:03,920 Speaker 1: Day in China, which is a popular shopping day. You 191 00:10:03,960 --> 00:10:06,520 Speaker 1: have Cyber Monday and Black Friday in the US. Right, 192 00:10:06,960 --> 00:10:10,160 Speaker 1: you have education discounts, but a one off, rare shopping 193 00:10:10,200 --> 00:10:12,880 Speaker 1: holiday for a few days in China. This is not 194 00:10:13,000 --> 00:10:17,880 Speaker 1: something I've ever seen before. Now here's something to point out. 195 00:10:18,040 --> 00:10:22,480 Speaker 1: On Thursday, that's Apple earnings day. On Friday is when 196 00:10:22,480 --> 00:10:25,280 Speaker 1: this sale kicks off. As you mentioned, there have been 197 00:10:25,320 --> 00:10:28,320 Speaker 1: economic issues, there have been sales slowdowns, there have been 198 00:10:28,360 --> 00:10:32,720 Speaker 1: economic concerns across China over the last several months. Perhaps 199 00:10:32,760 --> 00:10:36,160 Speaker 1: this might be timed in response the day after earnings 200 00:10:36,679 --> 00:10:38,920 Speaker 1: because maybe the China results, and of course this is 201 00:10:38,960 --> 00:10:41,560 Speaker 1: just speculation aren't going to be as hot as maybe 202 00:10:41,600 --> 00:10:43,920 Speaker 1: some people have expected. And this is a quick and 203 00:10:43,960 --> 00:10:47,320 Speaker 1: easy way to prepare investors, right in analysts to show 204 00:10:47,559 --> 00:10:49,440 Speaker 1: we have a quick solution here, and we think a 205 00:10:49,520 --> 00:10:53,200 Speaker 1: sale nearly hundred dollars in savings on some items right 206 00:10:53,280 --> 00:10:55,600 Speaker 1: on the high end iPhones in particular, those four days 207 00:10:55,640 --> 00:11:00,520 Speaker 1: could boost sales immediately into the fourth quarter. Tell obviously 208 00:11:00,600 --> 00:11:03,280 Speaker 1: looking ahead to earnings in the next two days, we'll 209 00:11:03,360 --> 00:11:06,760 Speaker 1: learn more. There are you saying this is potentially a 210 00:11:06,800 --> 00:11:10,600 Speaker 1: bad sign? I mean potentially a bad sign, right, I 211 00:11:10,640 --> 00:11:13,080 Speaker 1: mean if things are all perfect in terms of sales 212 00:11:13,160 --> 00:11:15,480 Speaker 1: right now in China, I don't know if Apple would 213 00:11:15,480 --> 00:11:18,360 Speaker 1: be doing a random sale like this, right. Their sales 214 00:11:18,400 --> 00:11:21,600 Speaker 1: are usually tied to a specific holiday or a specific event. 215 00:11:21,800 --> 00:11:24,000 Speaker 1: There's none going on in China at the end of 216 00:11:24,040 --> 00:11:26,280 Speaker 1: this week that I could particularly think of. So there's 217 00:11:26,280 --> 00:11:28,280 Speaker 1: a reason that you really want to drum up excitement 218 00:11:28,360 --> 00:11:31,040 Speaker 1: in sales over this, over these products right now, with 219 00:11:31,120 --> 00:11:33,800 Speaker 1: these discounts. I don't really see this as a reason 220 00:11:33,840 --> 00:11:37,560 Speaker 1: to clear inventory, right. I don't think that's necessary. The 221 00:11:37,600 --> 00:11:39,600 Speaker 1: new iPhones aren't going to go on sale for about 222 00:11:39,640 --> 00:11:42,360 Speaker 1: three months now, so they still need write a quarter 223 00:11:42,440 --> 00:11:45,160 Speaker 1: of a year worth of inventory. Many of the products 224 00:11:45,240 --> 00:11:47,400 Speaker 1: that are going on sale for this four day special, 225 00:11:47,640 --> 00:11:50,880 Speaker 1: those products are going to remain on sale even after 226 00:11:50,920 --> 00:11:53,719 Speaker 1: the iPhone fourteen and the other new products come out right, 227 00:11:53,880 --> 00:11:57,320 Speaker 1: the Apple Watches that they're handling with this discount, the 228 00:11:57,360 --> 00:12:01,600 Speaker 1: iPhone se, the iPhone thirteen, the third generation air pods, 229 00:12:01,800 --> 00:12:03,720 Speaker 1: those are all going to be on sale until next 230 00:12:03,800 --> 00:12:07,240 Speaker 1: year anyways. So I don't think this is clearly clearing inventory. 231 00:12:07,480 --> 00:12:09,800 Speaker 1: They clearly want to drop up sales somehow, someway with 232 00:12:09,840 --> 00:12:13,959 Speaker 1: this interesting. All right, we'll keep watching. Of course, We're 233 00:12:14,000 --> 00:12:16,600 Speaker 1: gonna be like watching your coverage of earnings later this week, 234 00:12:17,080 --> 00:12:18,880 Speaker 1: and then we'll be watching to see how this sales 235 00:12:18,920 --> 00:12:30,120 Speaker 1: promotion rolls out. Mark German, thank you well, just call 236 00:12:30,240 --> 00:12:33,240 Speaker 1: the latest episode of Keeping Up with TikTok. Meta is 237 00:12:33,360 --> 00:12:36,360 Speaker 1: now introducing music revenue sharing on Facebook, which will help 238 00:12:36,400 --> 00:12:40,720 Speaker 1: creators make money from videos that use licensed music. It 239 00:12:40,760 --> 00:12:44,360 Speaker 1: might also help Facebook compete with TikTok, or will it. 240 00:12:44,520 --> 00:12:48,840 Speaker 1: Last week, Facebook also changed its timeline algorithm to look 241 00:12:48,880 --> 00:12:51,280 Speaker 1: more like TikTok. Liz Pearl is a former head of 242 00:12:51,280 --> 00:12:53,400 Speaker 1: Team Community in Instagram and now consults with big tech 243 00:12:53,440 --> 00:12:56,680 Speaker 1: companies about the creator economy. Kirk Wagner cover social media 244 00:12:57,080 --> 00:12:59,120 Speaker 1: for US and Kurt I just realized when I read 245 00:12:59,200 --> 00:13:02,760 Speaker 1: that pun that it ties into Kylie Jenner, who just 246 00:13:02,840 --> 00:13:05,800 Speaker 1: tweeted or posted on Instagram saying, stop making Instagram look 247 00:13:05,840 --> 00:13:07,440 Speaker 1: like TikTok. That's right. I actually thought you did that 248 00:13:07,480 --> 00:13:09,640 Speaker 1: on her because he was talking about that was incredible, 249 00:13:09,760 --> 00:13:14,439 Speaker 1: totally unplanned. That's right. Kylie Jenner, obviously huge on Instagram, 250 00:13:14,920 --> 00:13:18,000 Speaker 1: UM said stop trying to make Instagram look like TikTok. 251 00:13:18,040 --> 00:13:19,600 Speaker 1: We just want to see, you know, our friends and 252 00:13:19,640 --> 00:13:21,680 Speaker 1: family on this sap. This is not what this is for. 253 00:13:21,800 --> 00:13:23,560 Speaker 1: You might remember a few years ago, I believe it 254 00:13:23,600 --> 00:13:26,000 Speaker 1: was her she tweeted about Snap and the redesign at 255 00:13:26,040 --> 00:13:29,400 Speaker 1: Snap set the stock down vomiting. That's right, and so 256 00:13:30,000 --> 00:13:32,320 Speaker 1: she has good timing. I think Facebook's earnings are in 257 00:13:32,320 --> 00:13:34,600 Speaker 1: two days, UM, so you know she's getting her voice 258 00:13:34,640 --> 00:13:38,600 Speaker 1: out early. So, Liz, is are all of these efforts 259 00:13:38,679 --> 00:13:41,880 Speaker 1: by Meta to make Facebook and Instagram more like TikTok? 260 00:13:42,720 --> 00:13:44,839 Speaker 1: Is this the right direction or should they be working 261 00:13:44,840 --> 00:13:50,080 Speaker 1: to differentiate Instagram and Facebook from TikTok? Well? I would 262 00:13:50,120 --> 00:13:52,600 Speaker 1: say that TikTok is the best place for views and 263 00:13:52,640 --> 00:13:56,920 Speaker 1: the worst place to build a sustained recurring audience, right, 264 00:13:57,000 --> 00:14:00,280 Speaker 1: And Instagram's identity for so long was as the place 265 00:14:00,320 --> 00:14:03,320 Speaker 1: for building a dedicated audience. It wasn't as susceptible to 266 00:14:03,400 --> 00:14:06,120 Speaker 1: virility or outside forces in general. Right, you can't even 267 00:14:06,280 --> 00:14:09,160 Speaker 1: share links on the platform. So if Reels really does 268 00:14:09,200 --> 00:14:12,080 Speaker 1: go all in for like a TikTok for you page, 269 00:14:12,120 --> 00:14:14,160 Speaker 1: like feed for you is what we call the TikTok 270 00:14:14,240 --> 00:14:17,120 Speaker 1: feed um, which essentially devalues followers. I think that's a 271 00:14:17,160 --> 00:14:20,400 Speaker 1: pretty big departure from the identity wise, and I'm really 272 00:14:20,400 --> 00:14:24,080 Speaker 1: curious to see how that plays out. So I wonder, Kurt, 273 00:14:24,160 --> 00:14:26,560 Speaker 1: you know, on that note, it should Instagram be leaning 274 00:14:26,600 --> 00:14:29,960 Speaker 1: into more of the things that make Instagram great rather 275 00:14:30,040 --> 00:14:33,640 Speaker 1: than just some say copy TikTok. Right. Well, on the 276 00:14:33,640 --> 00:14:36,360 Speaker 1: one hand, that's a way to kind of keep your 277 00:14:36,440 --> 00:14:39,080 Speaker 1: place in this world, right, if everyone's rushing towards the 278 00:14:39,080 --> 00:14:41,960 Speaker 1: same spot, uh, you know, they're kind of giving that up. 279 00:14:42,120 --> 00:14:44,040 Speaker 1: On the other hand, clearly what they're seeing behind the 280 00:14:44,040 --> 00:14:47,360 Speaker 1: scenes is motivating this, right, And so if your Instagram 281 00:14:47,400 --> 00:14:49,520 Speaker 1: and Liz would know this you know better than I would. 282 00:14:49,520 --> 00:14:52,560 Speaker 1: But if your Instagram and you're seeing people maybe leave 283 00:14:52,920 --> 00:14:55,960 Speaker 1: or spend more time somewhere else, the reality is Facebook 284 00:14:56,000 --> 00:14:58,320 Speaker 1: is always just chasing that attention, right, And so that's 285 00:14:58,360 --> 00:14:59,880 Speaker 1: what's going to happen, but you're right, maybe the long 286 00:15:00,120 --> 00:15:03,240 Speaker 1: term keeping that foothold kind of with friends and family 287 00:15:03,280 --> 00:15:05,640 Speaker 1: would be would be a smarter play given that you 288 00:15:06,000 --> 00:15:08,880 Speaker 1: worked at Instagram for so many years, Liz, is that 289 00:15:08,920 --> 00:15:12,480 Speaker 1: what's happening internally? Are they watching TikTok and just thinking 290 00:15:12,480 --> 00:15:15,640 Speaker 1: about how to keep up? Well, I can't speak to 291 00:15:15,680 --> 00:15:17,840 Speaker 1: what's happening internally there right now, but it reminds me 292 00:15:17,920 --> 00:15:20,080 Speaker 1: a bit of Stories Launched to be honest, which I was, 293 00:15:20,240 --> 00:15:24,160 Speaker 1: which I was there for. I mean, um, you know, people, 294 00:15:24,280 --> 00:15:26,520 Speaker 1: there's a lot of dialogue around that, people thinking it 295 00:15:26,600 --> 00:15:28,640 Speaker 1: wasn't going to be successful, and actually there was a 296 00:15:28,720 --> 00:15:31,320 Speaker 1: huge market for people who are not who that format 297 00:15:31,400 --> 00:15:33,960 Speaker 1: was perfect for. But we're not necessarily using Snapchat, and 298 00:15:34,000 --> 00:15:36,560 Speaker 1: I do think we think of TikTok is pretty ubiquitous, 299 00:15:37,160 --> 00:15:39,440 Speaker 1: but there is a market for people who love that 300 00:15:39,520 --> 00:15:42,320 Speaker 1: format and both creating a consuming content in that format 301 00:15:42,320 --> 00:15:44,120 Speaker 1: who might not necessarily got on TikTok, So there is 302 00:15:44,160 --> 00:15:47,960 Speaker 1: an opportunity area there. Of course, what is the value 303 00:15:47,960 --> 00:15:51,120 Speaker 1: proposition to creators at this point? You know, if if 304 00:15:51,120 --> 00:15:54,440 Speaker 1: you're a creator, where do you decide to invest your 305 00:15:54,480 --> 00:15:59,160 Speaker 1: time given the options right now? Really depends on what 306 00:15:59,200 --> 00:16:00,920 Speaker 1: your goal is and what type of content you want 307 00:16:00,920 --> 00:16:03,280 Speaker 1: to create. But I do think for younger people in general, 308 00:16:03,920 --> 00:16:06,200 Speaker 1: like I, I do believe in adapting to what young 309 00:16:06,240 --> 00:16:10,480 Speaker 1: people want. And you know, mobile video tools, really good 310 00:16:10,480 --> 00:16:13,040 Speaker 1: mobile video editing tools. I think it's very TikTok's very 311 00:16:13,120 --> 00:16:16,760 Speaker 1: underrated for for for the how good they're mobile, easy 312 00:16:16,840 --> 00:16:18,840 Speaker 1: and good their mobile video editing tools, or when they 313 00:16:18,880 --> 00:16:21,440 Speaker 1: launched just forced us all like every platform, that sort 314 00:16:21,480 --> 00:16:24,600 Speaker 1: of up their game there, and that's a net good, right, 315 00:16:24,680 --> 00:16:28,200 Speaker 1: giving Giving young people the tools that they want and 316 00:16:28,280 --> 00:16:30,560 Speaker 1: already are using to be able to communicate across more 317 00:16:30,560 --> 00:16:32,560 Speaker 1: platforms a good thing. I think competition is a really 318 00:16:32,640 --> 00:16:35,640 Speaker 1: good thing among social platforms. It might be an unpopular opinion, 319 00:16:35,640 --> 00:16:39,560 Speaker 1: but it's great for TikTok. I had some competition and Kent. 320 00:16:39,600 --> 00:16:42,040 Speaker 1: There's obviously a competition for eyeballs and attention, but there's 321 00:16:42,080 --> 00:16:45,200 Speaker 1: competition for creators. You know, talk to us about how 322 00:16:45,240 --> 00:16:47,840 Speaker 1: that competition is playing out. I mean, part of what 323 00:16:47,960 --> 00:16:51,560 Speaker 1: has made TikTok so successful is the music, which is 324 00:16:51,680 --> 00:16:55,120 Speaker 1: what these new changes that meta are geared towards, right, 325 00:16:55,160 --> 00:16:57,600 Speaker 1: and because that drives culture, right, those are the those 326 00:16:57,600 --> 00:16:59,800 Speaker 1: are the types of songs that people want to see 327 00:17:00,520 --> 00:17:02,640 Speaker 1: to pair that with your video. But also, I mean, 328 00:17:02,760 --> 00:17:05,320 Speaker 1: let's be real, this will also comes down to business, right, 329 00:17:05,320 --> 00:17:08,120 Speaker 1: if you're a creator, where can you not only get 330 00:17:08,160 --> 00:17:10,359 Speaker 1: the most views, but where you can you monetize those views? 331 00:17:10,359 --> 00:17:13,640 Speaker 1: And that's why YouTube has historically been such a great 332 00:17:13,640 --> 00:17:16,600 Speaker 1: place for creators, better than Facebook for video, because it's 333 00:17:16,680 --> 00:17:19,240 Speaker 1: easier to make money there. Right, we saw Vine, Vine 334 00:17:19,280 --> 00:17:21,520 Speaker 1: was great. Vine was TikTok. Before it was TikTok, there 335 00:17:21,560 --> 00:17:23,400 Speaker 1: wasn't a great way for any creators to make money 336 00:17:23,440 --> 00:17:25,720 Speaker 1: on Vine, and they went to other places, right, And 337 00:17:25,800 --> 00:17:27,600 Speaker 1: so I really think it's going to come down to 338 00:17:27,720 --> 00:17:30,320 Speaker 1: which platform can give people a chance to make a 339 00:17:30,359 --> 00:17:33,000 Speaker 1: living off. There's a whole graveyard of these social media 340 00:17:33,040 --> 00:17:35,240 Speaker 1: platforms there are. Because I wonder what you make of 341 00:17:35,320 --> 00:17:37,560 Speaker 1: Kylie Jenner's comments, I mean, Kurt brought up I mean 342 00:17:37,840 --> 00:17:41,080 Speaker 1: the Kylie curse Snap. Some people think Snap has never 343 00:17:41,160 --> 00:17:44,600 Speaker 1: been the same since what Kylie Jenner said about Snap. 344 00:17:44,640 --> 00:17:46,919 Speaker 1: But what do you think about this idea that at 345 00:17:47,000 --> 00:17:51,280 Speaker 1: least one celebrity power user doesn't want Instagram to look 346 00:17:51,440 --> 00:17:55,360 Speaker 1: more like TikTok and maybe once Instagram to be Instagram. 347 00:17:55,560 --> 00:17:58,760 Speaker 1: I mean, I think anybody who's business, which hers largely 348 00:17:58,920 --> 00:18:01,359 Speaker 1: is an Instagram a way that it wasn't even it 349 00:18:01,440 --> 00:18:04,000 Speaker 1: wasn't even the same on TikTok is predicated on having 350 00:18:04,080 --> 00:18:06,920 Speaker 1: this audience that you developed and having followers be really 351 00:18:06,920 --> 00:18:09,240 Speaker 1: really key in that main feed is going to be 352 00:18:10,200 --> 00:18:13,240 Speaker 1: resistant to this and it resistant to change in general. Right, 353 00:18:13,280 --> 00:18:15,199 Speaker 1: those older generations we are this is this is a 354 00:18:15,200 --> 00:18:18,359 Speaker 1: play that's really catering. Um, it seems like it's catering 355 00:18:18,400 --> 00:18:21,360 Speaker 1: for an audience that is that prefers a different format 356 00:18:21,720 --> 00:18:23,760 Speaker 1: something that I think we're talking about music rights and 357 00:18:23,880 --> 00:18:26,720 Speaker 1: sound like something that also also another very underrated thing 358 00:18:26,720 --> 00:18:29,240 Speaker 1: about TikTok when it launched actually as musically Right, which 359 00:18:29,280 --> 00:18:31,880 Speaker 1: was the first incarnation of TikTok that was really popular 360 00:18:31,880 --> 00:18:35,399 Speaker 1: with tweens, was how central sound was to the platform, 361 00:18:35,800 --> 00:18:39,400 Speaker 1: right like music lip sinking the very first foundational communities 362 00:18:39,400 --> 00:18:41,800 Speaker 1: and that platform where dancers, and there was like there's 363 00:18:41,880 --> 00:18:44,119 Speaker 1: no surprise there that was the case. Their biggest stars 364 00:18:44,160 --> 00:18:46,840 Speaker 1: came out of dancing. And when video became important on 365 00:18:46,840 --> 00:18:50,760 Speaker 1: Facebook and Instagram, sound sound as a feature, right not 366 00:18:50,760 --> 00:18:53,520 Speaker 1: not not the center of their video tools. So I 367 00:18:53,520 --> 00:18:55,919 Speaker 1: think that's been a defining difference between TikTok and these 368 00:18:55,960 --> 00:18:58,080 Speaker 1: other platforms, and it's going to be interesting to see 369 00:18:58,119 --> 00:19:01,119 Speaker 1: phase I hopefully this, you know, the music rights platform 370 00:19:01,160 --> 00:19:04,679 Speaker 1: will will be expanded to real soon and close that 371 00:19:04,720 --> 00:19:07,879 Speaker 1: gap a little quickly. Kurt, what is Facebook said in 372 00:19:07,920 --> 00:19:12,360 Speaker 1: response to the accusations that it's copying rather than developing 373 00:19:12,400 --> 00:19:14,760 Speaker 1: its own. It's not shy. It's not shy about this. 374 00:19:14,840 --> 00:19:17,320 Speaker 1: I spoke to them when they did the news feed 375 00:19:17,440 --> 00:19:21,679 Speaker 1: changes last week, and you know, I said, like, you know, 376 00:19:21,720 --> 00:19:24,800 Speaker 1: people are gonna identify that you're Copper and TikTok, you know, 377 00:19:24,920 --> 00:19:28,280 Speaker 1: and they were kind of like, there, these are good ideas, right, 378 00:19:28,320 --> 00:19:30,120 Speaker 1: same thing they said when stories came out, they said 379 00:19:30,119 --> 00:19:32,520 Speaker 1: simply this is this is a good idea. Right. So 380 00:19:32,680 --> 00:19:34,200 Speaker 1: maybe it's not just who can do it, but who 381 00:19:34,200 --> 00:19:36,399 Speaker 1: can do it best. We shall see, Okay, Kurt Wagner 382 00:19:36,480 --> 00:19:38,640 Speaker 1: for Bloomberg. Thank you Liz Pearl, former head of Team 383 00:19:38,680 --> 00:19:42,639 Speaker 1: Community at Instagram. Really interesting to have your insider perspective today. 384 00:19:42,680 --> 00:19:53,960 Speaker 1: Thank you for joining us. Welcome back to Bloomer Technology 385 00:19:54,000 --> 00:19:56,439 Speaker 1: and Emily Changing in San Francisco. Well, I want to 386 00:19:56,480 --> 00:20:00,280 Speaker 1: turn out to the booming digital health landscape with summer Health, 387 00:20:00,280 --> 00:20:03,480 Speaker 1: a pediatric telehealth startup that's aiming to make responses to 388 00:20:03,760 --> 00:20:08,159 Speaker 1: very common medical questions more accessible through a telehealth platform. 389 00:20:08,520 --> 00:20:12,000 Speaker 1: The idea seems to be resonating with investors. The startup 390 00:20:12,040 --> 00:20:15,560 Speaker 1: just raised a seed round led by Sequoia and Lux Capital. 391 00:20:15,600 --> 00:20:17,920 Speaker 1: Ellen da Silva, CEO and co founder of summer Health, 392 00:20:18,119 --> 00:20:20,919 Speaker 1: joins us now. So Ellen talked to us about the 393 00:20:21,160 --> 00:20:25,200 Speaker 1: idea here the driving premise of summer Health. Yeah, thanks 394 00:20:25,240 --> 00:20:28,359 Speaker 1: for having me, Emily. The idea of mind summer Health 395 00:20:28,680 --> 00:20:32,080 Speaker 1: is a very simple one. We believe that all Americans 396 00:20:32,119 --> 00:20:34,600 Speaker 1: should have a phone number they can text and get 397 00:20:34,600 --> 00:20:39,080 Speaker 1: an answer um staffed by a doctor within fifteen minutes 398 00:20:39,119 --> 00:20:42,440 Speaker 1: for any of their medical needs. This started out of 399 00:20:42,800 --> 00:20:45,440 Speaker 1: my own needs as a mother. So we're very excited 400 00:20:45,480 --> 00:20:50,520 Speaker 1: to launch summer Health today. And you're focusing on pediatric care. 401 00:20:50,880 --> 00:20:52,760 Speaker 1: Why is that? I mean, the idea that I could 402 00:20:52,760 --> 00:20:56,639 Speaker 1: just reach my pediatration in minutes is totally novel and 403 00:20:56,760 --> 00:21:00,440 Speaker 1: kind of amazing, But it also seems like a moon shot. Yeah, 404 00:21:00,480 --> 00:21:02,159 Speaker 1: I mean it sounds like you, as a mother, may 405 00:21:02,200 --> 00:21:06,440 Speaker 1: have also experienced this. UM. We're starting a pediatrics for 406 00:21:06,640 --> 00:21:10,920 Speaker 1: many reasons. Two of the primary reasons are that parents 407 00:21:10,920 --> 00:21:15,080 Speaker 1: are thirsty to get more medical attention for their children. UM. 408 00:21:15,160 --> 00:21:18,800 Speaker 1: There is no shortage of parenting questions that come up 409 00:21:18,840 --> 00:21:21,680 Speaker 1: around health and wellness that parents wish they could ask 410 00:21:21,680 --> 00:21:26,160 Speaker 1: a pediatrician, But because pediatricians offices tend to be overworked 411 00:21:26,240 --> 00:21:30,520 Speaker 1: and sometimes unfortunately understaffed, they have nowhere to turn. The 412 00:21:30,560 --> 00:21:32,840 Speaker 1: second reason is we want to give more access and 413 00:21:32,880 --> 00:21:37,000 Speaker 1: resources to pediatricians who want to work more. UM. We 414 00:21:37,080 --> 00:21:41,560 Speaker 1: have learned through starting Summer Health that one in five 415 00:21:41,640 --> 00:21:44,840 Speaker 1: medical professionals is planning to leave the industry in the 416 00:21:44,920 --> 00:21:48,879 Speaker 1: next two years according to the American Medical Association, and 417 00:21:48,960 --> 00:21:52,199 Speaker 1: anecdotally in pediatrics it's far worse. And so we know 418 00:21:52,280 --> 00:21:55,360 Speaker 1: that pediatricians are looking for alternate ways to practice medicine. 419 00:21:55,680 --> 00:21:57,359 Speaker 1: We believe that Summer Health is a great way for 420 00:21:57,400 --> 00:22:00,880 Speaker 1: them to do so why is that a providers are 421 00:22:00,960 --> 00:22:06,960 Speaker 1: leaving and that it's worse among pediatricians. COVID was tough 422 00:22:07,200 --> 00:22:14,000 Speaker 1: for everyone, most notably physicians. Physicians have been overworked, understaffed, 423 00:22:14,080 --> 00:22:17,439 Speaker 1: put through the ringer because of COVID. They also have 424 00:22:17,520 --> 00:22:20,600 Speaker 1: not necessarily benefited from the ability to work from home, 425 00:22:20,960 --> 00:22:23,359 Speaker 1: the way a lot of other professionals have been able 426 00:22:23,400 --> 00:22:26,160 Speaker 1: to do, and so many of them are now turning 427 00:22:26,600 --> 00:22:29,680 Speaker 1: to professions that would allow them to work from home. 428 00:22:29,800 --> 00:22:32,879 Speaker 1: And in fact, Summer Health you don't even necessarily need 429 00:22:32,920 --> 00:22:34,960 Speaker 1: to be face to face with a doctor. Your provider 430 00:22:35,040 --> 00:22:39,359 Speaker 1: can be at her child soccer game. Um in particular 431 00:22:39,400 --> 00:22:44,080 Speaker 1: with pediatrics, pediatricians tend to be disproportionately women, who as 432 00:22:44,119 --> 00:22:47,520 Speaker 1: we know, have been affected by COVID and lack of 433 00:22:47,600 --> 00:22:51,760 Speaker 1: child care resources. Of them are part time and so 434 00:22:51,960 --> 00:22:54,000 Speaker 1: look to fill the rest of their time with other 435 00:22:54,119 --> 00:22:57,080 Speaker 1: pediatric work, and we believe that Summer Health is the 436 00:22:57,119 --> 00:22:59,639 Speaker 1: best platform for them to do so. Interesting, all right, 437 00:22:59,640 --> 00:23:02,480 Speaker 1: Ellen to Silva, CEO and co founder of Summer Health. 438 00:23:02,600 --> 00:23:04,960 Speaker 1: Really interesting what you are starting, and we'll continue to 439 00:23:04,960 --> 00:23:08,600 Speaker 1: follow Meantime, Google has confirmed it fired a software engineer 440 00:23:08,600 --> 00:23:11,800 Speaker 1: who worked on the company's AI team over his public 441 00:23:11,960 --> 00:23:15,080 Speaker 1: contention that he had conversations with a bot that had 442 00:23:15,119 --> 00:23:19,960 Speaker 1: become sentient. Yes, he argued that computers have feelings. Google 443 00:23:20,000 --> 00:23:23,199 Speaker 1: says Blake LeMoyne's comments were wholly unfounded and that he 444 00:23:23,240 --> 00:23:28,480 Speaker 1: had shared confidential company information to third parties. Lemoine predicted 445 00:23:28,680 --> 00:23:31,600 Speaker 1: his own termination in an interview with me last month. 446 00:23:32,280 --> 00:23:34,240 Speaker 1: I don't think we need to be spending all of 447 00:23:34,240 --> 00:23:36,880 Speaker 1: our time figuring out whether I'm right about it being 448 00:23:36,880 --> 00:23:39,920 Speaker 1: a person. We need to start figuring out why Google 449 00:23:40,080 --> 00:23:43,680 Speaker 1: doesn't care about AI ethics in any kind of meaningful way. 450 00:23:44,000 --> 00:23:48,040 Speaker 1: Why does it keep firing AI ethicists each time we 451 00:23:48,160 --> 00:23:52,439 Speaker 1: bring up issues. You can watch that full interview at 452 00:23:52,480 --> 00:23:56,200 Speaker 1: Bloomberg dot com. It's also on YouTube. Coming up, with 453 00:23:56,240 --> 00:23:59,400 Speaker 1: the crypto winter taking hold after a massive crypto sell 454 00:23:59,440 --> 00:24:01,520 Speaker 1: off prompted by the Celsius tobacco, We're gonna take a 455 00:24:01,520 --> 00:24:05,359 Speaker 1: look at the future of crypto security with Ledger. Next. 456 00:24:05,680 --> 00:24:21,480 Speaker 1: This is Bloomberg Time now for our crypto report. With 457 00:24:21,520 --> 00:24:25,200 Speaker 1: Bitcoin sinking back into the nineteen thousand to twenty two 458 00:24:25,240 --> 00:24:28,480 Speaker 1: thousand dollar trading range and analysts expecting more swings ahead 459 00:24:28,480 --> 00:24:32,160 Speaker 1: of another federate HiPE. Question, everyone is wondering has bitcoin 460 00:24:32,280 --> 00:24:35,840 Speaker 1: found its floor yet? Our own crypto Contributortionale Bossi has 461 00:24:35,880 --> 00:24:39,919 Speaker 1: been investigating that very question for Snelling. What are we thinking? 462 00:24:40,280 --> 00:24:42,800 Speaker 1: So it's interesting, family. You did see last week bitcoin 463 00:24:42,880 --> 00:24:45,640 Speaker 1: flip up past twenty three thousand, and it has come 464 00:24:45,680 --> 00:24:48,840 Speaker 1: back down. It hasn't had several days here of muted 465 00:24:49,200 --> 00:24:52,359 Speaker 1: price pressure, and to your point, it has some catalysts 466 00:24:52,359 --> 00:24:54,760 Speaker 1: ahead that could make the ride ahead a little bit rocky. 467 00:24:54,960 --> 00:24:59,399 Speaker 1: But again, that dollar range has everyone wondering, is the 468 00:24:59,480 --> 00:25:02,120 Speaker 1: leverage completely out of the system. See if you take 469 00:25:02,119 --> 00:25:04,119 Speaker 1: a look there, Yes, we've had that pressure on pricing, 470 00:25:04,160 --> 00:25:06,520 Speaker 1: but over the last seven days you are still seeing 471 00:25:06,520 --> 00:25:09,280 Speaker 1: bitcoin trading higher than it was seven days ago. I 472 00:25:09,359 --> 00:25:11,280 Speaker 1: also want to show you a quick chart of ethereum 473 00:25:11,320 --> 00:25:13,480 Speaker 1: because even though you're seeing a bigger decline over twenty 474 00:25:13,480 --> 00:25:15,920 Speaker 1: four hours, and ethereum than you are seeing in Bitcoin 475 00:25:16,359 --> 00:25:20,320 Speaker 1: also up over the last seven days, as there is 476 00:25:20,359 --> 00:25:24,240 Speaker 1: some excitement about ethereum and around bitcoin. For ethereum, of course, 477 00:25:24,280 --> 00:25:28,000 Speaker 1: there's that merge date on the table now. And does 478 00:25:28,000 --> 00:25:30,400 Speaker 1: that excitement hold and does it push the prices back 479 00:25:30,480 --> 00:25:32,320 Speaker 1: up even in the face of all these uncertainties of 480 00:25:32,320 --> 00:25:35,080 Speaker 1: the big question. And one more time, is that leverage 481 00:25:35,080 --> 00:25:38,000 Speaker 1: out of the system? Indeed? All right, well, we're gonna 482 00:25:38,040 --> 00:25:40,600 Speaker 1: explore this a little bit more. Our next guest has 483 00:25:40,720 --> 00:25:42,480 Speaker 1: his own read on this, and that is Ian Rodgers, 484 00:25:42,600 --> 00:25:46,840 Speaker 1: chief experience officer at Ledger, a platform that provides hardware 485 00:25:46,840 --> 00:25:50,080 Speaker 1: wallets for securing crypto assets. We're gonna get into crypto 486 00:25:50,119 --> 00:25:51,560 Speaker 1: security in a moment, but first I just want to 487 00:25:51,560 --> 00:25:55,680 Speaker 1: get your read on the winter uh Ian as it were. 488 00:25:55,760 --> 00:25:57,760 Speaker 1: I mean, do you think bitcoin has hit the floor? 489 00:25:58,119 --> 00:26:00,600 Speaker 1: Is it only up from here or what we saw 490 00:26:00,920 --> 00:26:04,000 Speaker 1: over the last couple of weeks just ahead? Fake You know, 491 00:26:04,040 --> 00:26:06,240 Speaker 1: I don't think any of us know exactly what happens 492 00:26:06,240 --> 00:26:07,919 Speaker 1: in the short term. I mean, for us, it's a 493 00:26:08,080 --> 00:26:11,280 Speaker 1: it's a really long term bet on digital assets overall. 494 00:26:11,400 --> 00:26:13,359 Speaker 1: I think, you know, from our perspective, you have this 495 00:26:13,520 --> 00:26:16,879 Speaker 1: new human invention um and it's definitely going to have 496 00:26:17,320 --> 00:26:19,920 Speaker 1: a massive effect on humanity. So how what's the what's 497 00:26:19,960 --> 00:26:21,640 Speaker 1: the arc of that one of the ups and downs? 498 00:26:21,960 --> 00:26:24,600 Speaker 1: You know, very difficult to say, but you know, for me, 499 00:26:24,840 --> 00:26:27,119 Speaker 1: having lived through, you know, the the dot com bubble, 500 00:26:27,480 --> 00:26:29,679 Speaker 1: you know this is this is like asking, you know, 501 00:26:30,240 --> 00:26:32,160 Speaker 1: what was it going on at that moment in time 502 00:26:32,640 --> 00:26:35,159 Speaker 1: when you know the market had crashed, but you know, 503 00:26:35,200 --> 00:26:38,480 Speaker 1: the Internet was was inevitably and unquestionably you know, going 504 00:26:38,520 --> 00:26:40,600 Speaker 1: to have a massive impact of humanity. Now, you can 505 00:26:40,600 --> 00:26:43,359 Speaker 1: talk about bitcoin all day to that end, but what 506 00:26:43,440 --> 00:26:46,399 Speaker 1: about everything else? What about the n f T landscape, 507 00:26:46,520 --> 00:26:49,800 Speaker 1: what about Web three? Overall? How are you preparing for 508 00:26:49,840 --> 00:26:52,320 Speaker 1: what the industry might look like coming out of this 509 00:26:52,400 --> 00:26:56,919 Speaker 1: crypto winter. Well, just today at Ledger we launched Ledger Market. 510 00:26:57,480 --> 00:26:59,360 Speaker 1: That was five and a half hours ago, and we've 511 00:26:59,359 --> 00:27:01,720 Speaker 1: done three million dollars in business UM in the last 512 00:27:01,760 --> 00:27:05,040 Speaker 1: five and a half hours. UM. So I think, you know, again, 513 00:27:05,200 --> 00:27:08,840 Speaker 1: we're going through this once in a humanity digitization of 514 00:27:08,880 --> 00:27:11,880 Speaker 1: everything UM. And I think if you, if you fast 515 00:27:11,880 --> 00:27:14,120 Speaker 1: forward fifteen and twenty years from now, you know, your 516 00:27:14,160 --> 00:27:18,040 Speaker 1: passport is a digital document that is issued to your 517 00:27:18,040 --> 00:27:20,320 Speaker 1: digital wallet. And the way that you, you know, prove 518 00:27:20,400 --> 00:27:22,240 Speaker 1: you are who you say you are, is you prove 519 00:27:22,320 --> 00:27:24,480 Speaker 1: that you are the owner of the wallet containing that document. 520 00:27:24,680 --> 00:27:27,360 Speaker 1: I mean, that's the scale of what we're talking about here. 521 00:27:27,520 --> 00:27:29,560 Speaker 1: I think it's very difficult to pick winners and losers, 522 00:27:29,600 --> 00:27:32,439 Speaker 1: just like in the late nineties or two thousand two two, 523 00:27:32,720 --> 00:27:34,800 Speaker 1: it was very difficult to pick winners and losers, but 524 00:27:34,840 --> 00:27:37,360 Speaker 1: you could bet on the Internet long term. And from 525 00:27:37,359 --> 00:27:40,120 Speaker 1: my perspective, if you can bet on digital assets, UM, 526 00:27:40,160 --> 00:27:43,920 Speaker 1: security and self custody as as things that are there there, 527 00:27:43,960 --> 00:27:45,600 Speaker 1: these are these are long term and if you have 528 00:27:45,640 --> 00:27:49,840 Speaker 1: a portfolio UM that's focused on those things, it's likely 529 00:27:49,880 --> 00:27:53,479 Speaker 1: to return over time. You're talking about self custody and 530 00:27:53,800 --> 00:27:58,080 Speaker 1: storing at your own crypto here, what has this moment 531 00:27:58,080 --> 00:28:02,120 Speaker 1: in the industry taught people about ownership of crypto assets 532 00:28:02,160 --> 00:28:05,600 Speaker 1: themselves and the difficulties in doing so, especially as you 533 00:28:05,640 --> 00:28:09,200 Speaker 1: see so many exchanges really show you that they own 534 00:28:09,560 --> 00:28:12,760 Speaker 1: the crypto that you think you own. It's a great 535 00:28:12,800 --> 00:28:16,040 Speaker 1: question because I think, unfortunately people are you know, keep 536 00:28:16,040 --> 00:28:19,600 Speaker 1: equating the bankruptcy of you know, Celsius and Voyage or 537 00:28:19,920 --> 00:28:23,320 Speaker 1: with um, you know, with crypto overall, which is like 538 00:28:23,440 --> 00:28:27,000 Speaker 1: equating you know, Bernie made off with the stock uh, 539 00:28:27,200 --> 00:28:29,240 Speaker 1: you know, with with the stock industry overall. I mean, 540 00:28:29,600 --> 00:28:32,520 Speaker 1: it's it doesn't make any sense, you know. I think 541 00:28:32,840 --> 00:28:35,280 Speaker 1: what unfortunately it's done the hard way is it's taught 542 00:28:35,320 --> 00:28:37,359 Speaker 1: people what people in the crypto industry have known for 543 00:28:37,400 --> 00:28:40,120 Speaker 1: a long time, not your keys, not your coins. And 544 00:28:40,160 --> 00:28:42,760 Speaker 1: that is one of the great inventions here is that 545 00:28:42,840 --> 00:28:45,080 Speaker 1: you can actually hold onto your own assets so that 546 00:28:45,120 --> 00:28:48,320 Speaker 1: a run on the bank is impossible. But unfortunately, if 547 00:28:48,360 --> 00:28:50,480 Speaker 1: you just kind of go, you know, into a system 548 00:28:50,720 --> 00:28:52,880 Speaker 1: where you know, you give somebody else your money and 549 00:28:52,920 --> 00:28:55,239 Speaker 1: you ask them to manage it for you, well, you know, 550 00:28:55,800 --> 00:28:57,920 Speaker 1: I'll all kinds of things can happen from that moment. 551 00:28:58,760 --> 00:29:01,760 Speaker 1: And you're a former Apple Music executive, you worked at Beats, 552 00:29:01,760 --> 00:29:04,880 Speaker 1: and I'm so curious what the relationship is between what 553 00:29:04,920 --> 00:29:09,480 Speaker 1: you see as the potential relationship between music and crypto. 554 00:29:09,720 --> 00:29:12,480 Speaker 1: Are there any lessons that you learned in your former 555 00:29:12,520 --> 00:29:17,800 Speaker 1: life that you're applying to crypto security? But definitely, you know, 556 00:29:17,880 --> 00:29:21,680 Speaker 1: I left college in go On toward the Best Boys, 557 00:29:21,720 --> 00:29:23,960 Speaker 1: and then I was at at Beat. I worked with 558 00:29:24,200 --> 00:29:26,840 Speaker 1: UM the great talented team at lbm H the last 559 00:29:26,880 --> 00:29:29,440 Speaker 1: five years. And even though my background is computer science, 560 00:29:29,440 --> 00:29:32,520 Speaker 1: if I had learned nothing about marketing with those geniuses, 561 00:29:32,600 --> 00:29:35,240 Speaker 1: then you know, I'd be pretty stupid. So I think 562 00:29:35,560 --> 00:29:37,680 Speaker 1: one is just how do we, you know, take a 563 00:29:37,720 --> 00:29:39,840 Speaker 1: brand like this and bring it into culture and and 564 00:29:39,880 --> 00:29:42,320 Speaker 1: that's that's one of the things, UM, that we're trying 565 00:29:42,360 --> 00:29:44,800 Speaker 1: to do. But with respect the music specifically, I mean 566 00:29:44,880 --> 00:29:48,959 Speaker 1: music is already you know, ninety nine digital, and I 567 00:29:49,000 --> 00:29:51,600 Speaker 1: think that the Internet brought us this revolution of information, 568 00:29:51,960 --> 00:29:54,200 Speaker 1: and what we're going through now is a revolution of value. 569 00:29:54,560 --> 00:29:57,520 Speaker 1: So given that that music is on some level information, 570 00:29:57,600 --> 00:30:00,640 Speaker 1: it's kind of already been set free and digitized. UM, 571 00:30:00,680 --> 00:30:02,320 Speaker 1: you know, but to the degree that as you can see, 572 00:30:02,360 --> 00:30:05,200 Speaker 1: I'm I'm a record collector. You know, those are that 573 00:30:05,360 --> 00:30:07,680 Speaker 1: those are collectibles, and those will have you know, kind 574 00:30:07,720 --> 00:30:10,200 Speaker 1: of different levels of utility. I think what happens over 575 00:30:10,200 --> 00:30:13,000 Speaker 1: the next year is you get these these applications that 576 00:30:13,320 --> 00:30:15,720 Speaker 1: in some ways resemble my Space. You know, my Space 577 00:30:15,800 --> 00:30:18,880 Speaker 1: was early, it was messy, old, people didn't understand it 578 00:30:18,880 --> 00:30:21,560 Speaker 1: at first. Um, but people will use it as a 579 00:30:21,560 --> 00:30:24,360 Speaker 1: way to showcase their digital belongings, and then those digital 580 00:30:24,400 --> 00:30:27,560 Speaker 1: belongings will get them access to other parts of the world. 581 00:30:27,720 --> 00:30:30,160 Speaker 1: You know. Imagine that I buy that Louis Batan handbag, 582 00:30:30,560 --> 00:30:33,600 Speaker 1: it gives me a token. With that token, I can 583 00:30:33,600 --> 00:30:35,560 Speaker 1: get into Louis Baitan world, and I'm not waiting on 584 00:30:35,600 --> 00:30:37,760 Speaker 1: the street and line anymore. UM. This is the kind 585 00:30:37,760 --> 00:30:40,200 Speaker 1: of thing that this combination of kind of digital and 586 00:30:40,200 --> 00:30:42,600 Speaker 1: physical is is going to bring to us digital and 587 00:30:42,640 --> 00:30:45,720 Speaker 1: physical ownership. That is so, since we've gotten your thoughts 588 00:30:45,720 --> 00:30:47,520 Speaker 1: on the crypto industry, I'm curious for your thoughts on 589 00:30:47,560 --> 00:30:49,960 Speaker 1: the evolution of the music industry. Earlier in the show, 590 00:30:50,000 --> 00:30:53,800 Speaker 1: we were recovering um Facebook offering new tools to creators 591 00:30:53,840 --> 00:30:58,200 Speaker 1: who want to make licensed videos with licensed music in them. Obviously, 592 00:30:58,320 --> 00:31:03,360 Speaker 1: TikTok has totally kind of reinvented this category of social 593 00:31:03,400 --> 00:31:07,880 Speaker 1: media videos to musical tracks. You know, what do you 594 00:31:08,080 --> 00:31:10,920 Speaker 1: what do you see as the evolution of music combined 595 00:31:11,000 --> 00:31:16,480 Speaker 1: with social media? Well, I mean I think what's what 596 00:31:16,760 --> 00:31:18,920 Speaker 1: I've always said is whether when I was at lvm 597 00:31:18,960 --> 00:31:20,080 Speaker 1: AGE it was the same as when I was in 598 00:31:20,080 --> 00:31:22,840 Speaker 1: the music business in that we sold culture as a 599 00:31:22,840 --> 00:31:26,960 Speaker 1: prerequisite to selling product. Right when people are buying music, Um, 600 00:31:27,000 --> 00:31:29,080 Speaker 1: you know, even when they were buying compact discs, you 601 00:31:29,120 --> 00:31:31,640 Speaker 1: weren't buying you know, a compact disc you were buying 602 00:31:31,720 --> 00:31:33,680 Speaker 1: you know, when a when a teenager was buying an 603 00:31:33,680 --> 00:31:36,680 Speaker 1: Eminem c D, they were buying you know what Eminem 604 00:31:36,760 --> 00:31:38,880 Speaker 1: means to them, right, And I think it's the same 605 00:31:38,880 --> 00:31:41,760 Speaker 1: when somebody buys a d R handbag. Do your means 606 00:31:41,760 --> 00:31:45,040 Speaker 1: something in culture? Therefore, you know you purchased the product. 607 00:31:45,320 --> 00:31:47,840 Speaker 1: So now that we've had this revolution of information with 608 00:31:47,880 --> 00:31:52,560 Speaker 1: the Internet, um, you know, information is free and someone 609 00:31:52,960 --> 00:31:54,800 Speaker 1: in a small town in Indiana where I grew up 610 00:31:54,800 --> 00:31:57,680 Speaker 1: has the same access to culture that someone in New 611 00:31:57,760 --> 00:32:00,560 Speaker 1: York or London or Paris or Tokyo does. Um. I 612 00:32:00,560 --> 00:32:03,640 Speaker 1: think that's what's completely revolutionized, you know, and I think 613 00:32:03,680 --> 00:32:06,160 Speaker 1: you know math, you know, largely it's moved us kind 614 00:32:06,160 --> 00:32:09,680 Speaker 1: of away from these mass media sources and into kind 615 00:32:09,720 --> 00:32:11,920 Speaker 1: of tribes and clicks. We all feel that, you know, 616 00:32:11,960 --> 00:32:14,920 Speaker 1: coming out of out of the pandemic. But but that 617 00:32:15,040 --> 00:32:19,160 Speaker 1: of course affects, you know, it affects everything, including including music. 618 00:32:19,520 --> 00:32:22,920 Speaker 1: Music is it's not just sonic, it's a way of belonging. 619 00:32:25,200 --> 00:32:29,240 Speaker 1: That's kind of beautiful in Rogers, appreciate you taking a 620 00:32:29,320 --> 00:32:33,360 Speaker 1: swing at that with us chief experience officer at Ledger, 621 00:32:33,400 --> 00:32:44,240 Speaker 1: along with our very own Shinelle boss. Thank you. The 622 00:32:44,280 --> 00:32:46,560 Speaker 1: market downturn has hit the U S economy hard, but 623 00:32:46,640 --> 00:32:51,200 Speaker 1: it hit San Francisco's economy particularly hard, with local giants 624 00:32:51,200 --> 00:32:54,040 Speaker 1: like Apple and Google planning to slow hiring and more 625 00:32:54,040 --> 00:32:57,040 Speaker 1: tech workers working from home permanently. The tech sector that 626 00:32:57,560 --> 00:33:00,400 Speaker 1: supercharged the Bay Area economy is now leaving a vacuum 627 00:33:00,400 --> 00:33:03,320 Speaker 1: in Silicon Valley. Bloomers, Rolling of our Geese joins us 628 00:33:03,360 --> 00:33:06,280 Speaker 1: now to discuss roll. You've got a big piece out 629 00:33:06,320 --> 00:33:08,400 Speaker 1: on this now. Why does it seem like San Francisco 630 00:33:08,440 --> 00:33:13,120 Speaker 1: has been hit harder than other US cities? Absolutely, San 631 00:33:13,120 --> 00:33:16,760 Speaker 1: Francisco has been hit really hard, and that's because so 632 00:33:16,880 --> 00:33:21,360 Speaker 1: much of our economy is revolves around tech, and unlike 633 00:33:21,360 --> 00:33:25,120 Speaker 1: in New York, which is very finance dominated, tech companies 634 00:33:25,160 --> 00:33:28,680 Speaker 1: here have really embraced remote work policies. So that means 635 00:33:28,720 --> 00:33:33,440 Speaker 1: you have fewer employees taking transit, peer employees going to restaurants, 636 00:33:33,640 --> 00:33:38,520 Speaker 1: fewer employees taking um, you know, going and shopping and 637 00:33:38,560 --> 00:33:42,920 Speaker 1: supporting the economy that San Francisto depends on. And meanwhile, 638 00:33:43,280 --> 00:33:46,880 Speaker 1: you have a lack of international tourists and international terms 639 00:33:47,120 --> 00:33:50,160 Speaker 1: has not rebounded to the levels pre pandemic. So all 640 00:33:50,240 --> 00:33:52,400 Speaker 1: in all, that means that the recovery here in San 641 00:33:52,400 --> 00:33:57,000 Speaker 1: Francisco is trailing down many major US cities, and you're 642 00:33:57,000 --> 00:33:59,719 Speaker 1: seeing more and more companies offer more and more remote 643 00:33:59,720 --> 00:34:02,360 Speaker 1: work options. So I wonder if we can't depend on 644 00:34:02,440 --> 00:34:05,880 Speaker 1: tech to revive the city, and if not, what can 645 00:34:05,960 --> 00:34:10,120 Speaker 1: the city do to revive itself. The city is making 646 00:34:10,320 --> 00:34:15,120 Speaker 1: its biggest push yet to revital revitalize downtown and to 647 00:34:15,239 --> 00:34:19,680 Speaker 1: give office workers a reason to go downtown. So they 648 00:34:19,840 --> 00:34:24,560 Speaker 1: are going to emphasize let's take this vacant commercial space 649 00:34:24,960 --> 00:34:29,600 Speaker 1: and have festivals and markets so that employee would think, well, yeah, 650 00:34:29,680 --> 00:34:31,920 Speaker 1: maybe I will go into the office today because I 651 00:34:31,920 --> 00:34:35,080 Speaker 1: can do something cool after work. Their hope is to 652 00:34:35,160 --> 00:34:39,680 Speaker 1: get workers consistently going into the office three days a week. 653 00:34:39,800 --> 00:34:43,160 Speaker 1: That would be a huge help to the local economy. 654 00:34:43,200 --> 00:34:46,120 Speaker 1: Is there any hope that the tech scene could come 655 00:34:46,120 --> 00:34:51,120 Speaker 1: back to the rescue. I think that they are really 656 00:34:51,719 --> 00:34:55,239 Speaker 1: working on making the city seem safe and secure, and 657 00:34:55,280 --> 00:34:58,560 Speaker 1: that's why they had these so called ambassadors around transit 658 00:34:58,640 --> 00:35:02,480 Speaker 1: stations and major tourist sized cable cars to make it 659 00:35:02,520 --> 00:35:05,280 Speaker 1: seem like, no, you can come to the office. It's 660 00:35:05,360 --> 00:35:08,799 Speaker 1: it'll be fun. And if they can get tech workers 661 00:35:08,920 --> 00:35:12,759 Speaker 1: and other people to mostly tech workers, to come three 662 00:35:12,800 --> 00:35:15,920 Speaker 1: days a week, that would be a huge benefit to 663 00:35:15,960 --> 00:35:18,600 Speaker 1: the city. You know, it wasn't long ago that I 664 00:35:18,600 --> 00:35:21,400 Speaker 1: saw a raccoon walking down the sidewalk in the middle 665 00:35:21,400 --> 00:35:25,239 Speaker 1: of San Francisco at eleven a M. Romy eleven a m. 666 00:35:25,320 --> 00:35:29,560 Speaker 1: There was a raccoon on the That's what this has 667 00:35:29,560 --> 00:35:33,480 Speaker 1: come to, all right, Um, well, great piece by you today. 668 00:35:33,600 --> 00:35:36,040 Speaker 1: You can catch it at bloomberg dot com on how 669 00:35:36,080 --> 00:35:39,000 Speaker 1: San Francisco is dealing with this Bloomber's roomy Mark Varghese, 670 00:35:39,200 --> 00:35:42,400 Speaker 1: thank you for joining us. That does it for this 671 00:35:42,560 --> 00:35:46,560 Speaker 1: edition of Bloomberg Technology. This week we are all over earnings. 672 00:35:47,040 --> 00:35:50,120 Speaker 1: Join us tomorrow. We've been breaking down alphabet results along 673 00:35:50,160 --> 00:35:52,160 Speaker 1: with Microsoft. You don't want to miss that, and of 674 00:35:52,200 --> 00:35:55,279 Speaker 1: course check out our podcast as always, wherever you get 675 00:35:55,320 --> 00:35:58,560 Speaker 1: your podcast time. Emily Chang in the beautiful city of 676 00:35:58,560 --> 00:36:01,160 Speaker 1: San Francisco is Bloomberg