1 00:00:02,200 --> 00:00:05,520 Speaker 1: From the heart of where innovation, money and power colli 2 00:00:06,320 --> 00:00:10,840 Speaker 1: in Silicon Valley and beyond. This is Bloomberg Technology with 3 00:00:10,920 --> 00:00:27,000 Speaker 1: Emily j F'm Emily changing San Francisco and this is 4 00:00:27,040 --> 00:00:29,720 Speaker 1: Bloomberg Technology. Coming up in the next hour. Met Up 5 00:00:29,760 --> 00:00:33,479 Speaker 1: falls after reporting its first ever decline in quarterly sales 6 00:00:33,840 --> 00:00:36,520 Speaker 1: added to the list of social platforms. Warding and add 7 00:00:36,640 --> 00:00:40,040 Speaker 1: pullback will hurt the bottom line and the division that's building. 8 00:00:40,040 --> 00:00:44,120 Speaker 1: The metaverse Reality Labs lost two point eight billion dollars 9 00:00:44,400 --> 00:00:47,640 Speaker 1: in the quarter. We will discuss class The Senate passes 10 00:00:47,640 --> 00:00:51,640 Speaker 1: ability to reinvigorate the U S ship industry, but PC 11 00:00:51,800 --> 00:00:54,840 Speaker 1: sales are slowing. US consumers get out of this pandemic mindset. 12 00:00:55,080 --> 00:00:58,200 Speaker 1: How will this change how Silicon Valley does business abroad? 13 00:00:58,640 --> 00:01:02,680 Speaker 1: Will discuss and more bad news for coin based Kathy Woods. 14 00:01:02,800 --> 00:01:05,520 Speaker 1: Arc just sold seventy five million dollars in shares after 15 00:01:05,560 --> 00:01:09,720 Speaker 1: the SEC announced an investigation into trading activity. So why 16 00:01:09,760 --> 00:01:14,199 Speaker 1: are shares up double digits? We will explain. Let's stick 17 00:01:14,240 --> 00:01:16,959 Speaker 1: with Metta now and bring in Deborah Ojo Williamson, principal 18 00:01:17,000 --> 00:01:19,840 Speaker 1: analysts at Insider Intelligence, as well as our own bloo 19 00:01:19,920 --> 00:01:23,360 Speaker 1: Room News Executive editor Tom Giles. Let's let's let's break 20 00:01:23,360 --> 00:01:26,800 Speaker 1: down these meta results, Tom. You know, they don't look good. 21 00:01:27,000 --> 00:01:30,319 Speaker 1: Engagement was, you know, came in slightly better than estimates 22 00:01:30,319 --> 00:01:33,920 Speaker 1: when you look at daily active users, but revenue dropped. Uh, 23 00:01:33,959 --> 00:01:36,800 Speaker 1: you know, ad revenue UM coming in light and the 24 00:01:36,840 --> 00:01:40,240 Speaker 1: first quarterly sales decline. Ever. Yeah, well thanks for having me. 25 00:01:40,840 --> 00:01:43,360 Speaker 1: The thing that people are really focused on the outlook 26 00:01:43,360 --> 00:01:46,360 Speaker 1: for the third quarter, and it's not good. It's going 27 00:01:46,400 --> 00:01:51,160 Speaker 1: to come in well below analysts estimates UM. The miss 28 00:01:51,240 --> 00:01:54,080 Speaker 1: on the revenue side. Some of the active users they 29 00:01:54,160 --> 00:01:56,240 Speaker 1: gained on the daily but not on the monthly. So 30 00:01:56,560 --> 00:01:58,800 Speaker 1: it's a very mixed picture there. The shares are down, 31 00:01:58,840 --> 00:02:01,560 Speaker 1: they're not falling out of bed. People aren't looking this 32 00:02:01,680 --> 00:02:04,000 Speaker 1: and looking at this and running around like their hair 33 00:02:04,080 --> 00:02:07,680 Speaker 1: is on fire. Still, it's not a great look. You 34 00:02:07,760 --> 00:02:11,040 Speaker 1: have remember that that Mark Zuckerberg has made this big 35 00:02:11,080 --> 00:02:13,480 Speaker 1: pivot toward the metaverse, and he's talked about we're gonna 36 00:02:13,480 --> 00:02:15,799 Speaker 1: lose money on that, We're gonna spend ten billion dollars 37 00:02:15,880 --> 00:02:17,720 Speaker 1: on it, We're not going to make a profit for many, 38 00:02:17,720 --> 00:02:20,079 Speaker 1: many years. Right around the same time we get the 39 00:02:20,120 --> 00:02:22,799 Speaker 1: war in Ukraine, we get this this sense of a 40 00:02:22,919 --> 00:02:26,040 Speaker 1: slowdown in the US economy and the global economy and 41 00:02:26,160 --> 00:02:29,359 Speaker 1: advertisers really pulling back. We saw it yesterday from Alphabet, 42 00:02:29,520 --> 00:02:31,720 Speaker 1: and we're seeing it again today. And David Winner, the 43 00:02:31,760 --> 00:02:35,400 Speaker 1: CFO for just a few more weeks, came out and said, 44 00:02:36,040 --> 00:02:38,919 Speaker 1: we really see advertisers facing headwinds and there's a lot 45 00:02:38,919 --> 00:02:42,760 Speaker 1: of economic uncertainty and they're pulling back. Same messages we 46 00:02:42,840 --> 00:02:47,160 Speaker 1: got from Ruth Poor at CFO of Alphabet yesterday. All Right, Uh, Deborah, 47 00:02:47,360 --> 00:02:50,359 Speaker 1: let's talk a little bit more about this. Obviously, we look, 48 00:02:50,440 --> 00:02:55,959 Speaker 1: we're we're looking at chairs. They're uh. Zuckerberg saying Metas 49 00:02:55,960 --> 00:03:00,239 Speaker 1: products are continuing to grow in a challenging macro environ men, 50 00:03:00,440 --> 00:03:04,520 Speaker 1: challenging macroeconomic environment. Those are the words he's using. The 51 00:03:04,520 --> 00:03:08,560 Speaker 1: company also saying they've reduced hiring an overall expense growth 52 00:03:08,639 --> 00:03:13,520 Speaker 1: plans this year. What are your headline takeaways, Debra? Yeah, 53 00:03:13,600 --> 00:03:18,000 Speaker 1: So I remember years past when Mark Zuckerberg would start 54 00:03:18,040 --> 00:03:22,359 Speaker 1: out his quarterly earnings recap with phrases like it was 55 00:03:22,400 --> 00:03:25,560 Speaker 1: another good quarter or it was another great quarter. Um, 56 00:03:25,639 --> 00:03:28,360 Speaker 1: we are not seeing that anymore, and not for the 57 00:03:28,400 --> 00:03:32,160 Speaker 1: foreseeable future. When it comes to Meta. Uh, this year 58 00:03:32,200 --> 00:03:35,960 Speaker 1: over year quarterly drop in revenue. Well, I think it 59 00:03:36,080 --> 00:03:39,960 Speaker 1: was pretty much baked into expectations by this point um 60 00:03:39,960 --> 00:03:44,560 Speaker 1: among investors. Uh, it's really showing just how quickly Meta's 61 00:03:44,680 --> 00:03:49,440 Speaker 1: business has deteriorated in this uncertain economy that's affecting all 62 00:03:49,480 --> 00:03:52,680 Speaker 1: of the digital ad supported businesses. You mentioned Google, you 63 00:03:52,760 --> 00:03:55,880 Speaker 1: mentioned Staff and Twitter. Uh, you know, we're all seeing 64 00:03:55,960 --> 00:04:00,760 Speaker 1: them having difficulty in this economic environment. One thing that 65 00:04:00,800 --> 00:04:04,040 Speaker 1: stood out for me with regards to Meta was the 66 00:04:04,120 --> 00:04:08,360 Speaker 1: drop in ad prices. So we saw a fourteen percent 67 00:04:08,680 --> 00:04:12,480 Speaker 1: drop in add prices in Q two That came after 68 00:04:12,760 --> 00:04:17,400 Speaker 1: a QU one drop of of eight percent. So you 69 00:04:17,400 --> 00:04:20,279 Speaker 1: know that really I think factors into what we're seeing 70 00:04:20,279 --> 00:04:23,680 Speaker 1: going on with Meta's platforms. Now where the the ads, 71 00:04:23,680 --> 00:04:25,680 Speaker 1: I mean, I guess to the advertisers, that's good news. 72 00:04:25,760 --> 00:04:29,080 Speaker 1: The ads are getting cheaper but for them, but it 73 00:04:29,160 --> 00:04:32,560 Speaker 1: doesn't add up to very much revenue. And as Tom 74 00:04:32,600 --> 00:04:34,760 Speaker 1: pointed out, you know, we're looking at Q three in 75 00:04:34,880 --> 00:04:38,880 Speaker 1: Q four now and we are not expecting anywhere near 76 00:04:38,920 --> 00:04:41,880 Speaker 1: the performance that our forecasts had led us to to 77 00:04:42,560 --> 00:04:46,400 Speaker 1: uh to predict, at least even as as recently as 78 00:04:46,440 --> 00:04:49,520 Speaker 1: just a couple of months ago. Now, Dave Oyner, the 79 00:04:49,640 --> 00:04:53,239 Speaker 1: current CFO, moving on to become Chief Strategy Officers, Susan 80 00:04:53,320 --> 00:04:57,640 Speaker 1: Lee VP of Finance becoming CFO, the first female CFO 81 00:04:57,760 --> 00:05:00,200 Speaker 1: at Meta I believe, ever, and this is get to 82 00:05:00,279 --> 00:05:04,760 Speaker 1: be Cheryl Sandberg's last earnings call. Does Facebook have the 83 00:05:04,760 --> 00:05:10,600 Speaker 1: bench Tom too, you know, continue to grow this company? Well, 84 00:05:10,680 --> 00:05:12,800 Speaker 1: you've got You've still got other leaders there. You've got 85 00:05:12,839 --> 00:05:14,920 Speaker 1: Chris Cox, You've got bos you know, You've got a 86 00:05:14,920 --> 00:05:18,880 Speaker 1: lot of people who are who who are around Zuckerberg. 87 00:05:18,920 --> 00:05:21,840 Speaker 1: But remember he's the guy making decision at the end 88 00:05:21,880 --> 00:05:24,160 Speaker 1: of the day, and if people start to lose patience 89 00:05:24,200 --> 00:05:27,159 Speaker 1: with him, there's nothing that the investors can do. Given 90 00:05:27,279 --> 00:05:31,160 Speaker 1: his ownership, given his control of the stock in the company, 91 00:05:31,360 --> 00:05:34,480 Speaker 1: he really does need to bring smart people around him, 92 00:05:34,640 --> 00:05:37,560 Speaker 1: especially when you see when you see Cheryl leaving. This 93 00:05:37,600 --> 00:05:41,239 Speaker 1: is the woman who has built that advertising business into 94 00:05:41,440 --> 00:05:44,440 Speaker 1: this this monster. Not doing so great right now, but 95 00:05:44,680 --> 00:05:47,039 Speaker 1: she's got quite a legacy and big, big shoes to 96 00:05:47,080 --> 00:05:50,520 Speaker 1: fill and this company is making an enormous pivot. And 97 00:05:50,920 --> 00:05:55,560 Speaker 1: Reality Labs lost Deborah two point eight billion dollars in 98 00:05:55,600 --> 00:05:57,960 Speaker 1: the quarter. This is a bet on a metaverse in 99 00:05:57,960 --> 00:06:01,440 Speaker 1: a future that some people don't really believe is even possible. 100 00:06:01,560 --> 00:06:04,040 Speaker 1: What do you make of that? Are these investments, these 101 00:06:04,080 --> 00:06:08,279 Speaker 1: losses worth it? Yeah, that is really the big question. 102 00:06:08,440 --> 00:06:10,880 Speaker 1: And getting back to the the idea of Mark Zuckerberg 103 00:06:10,960 --> 00:06:13,440 Speaker 1: being in charge, I mean this is his call. I 104 00:06:13,520 --> 00:06:15,479 Speaker 1: mean he has changed the name of the company, he 105 00:06:15,520 --> 00:06:18,680 Speaker 1: has decided to pivot the company towards the metaverse. Uh, 106 00:06:18,800 --> 00:06:23,040 Speaker 1: he is building this company towards that future ambition which 107 00:06:23,320 --> 00:06:27,880 Speaker 1: we don't see any hardly any revenue potential from four years. 108 00:06:28,240 --> 00:06:31,520 Speaker 1: And at the same time, the core business is suffering. 109 00:06:31,760 --> 00:06:33,800 Speaker 1: And so I will be the first to admit that 110 00:06:33,880 --> 00:06:37,200 Speaker 1: I am a metaverse skeptic. I have been for quite 111 00:06:37,200 --> 00:06:39,680 Speaker 1: a long time, since the days of virtual reality of 112 00:06:40,040 --> 00:06:43,000 Speaker 1: Second Life. I think there's a lot for meta to 113 00:06:43,040 --> 00:06:46,000 Speaker 1: prove here with regards to the metaverse, about the potential 114 00:06:46,080 --> 00:06:49,760 Speaker 1: for marketers, for advertisers, even for consumers to engage in 115 00:06:49,800 --> 00:06:52,800 Speaker 1: the in it. And we just saw earlier today that 116 00:06:53,240 --> 00:06:57,279 Speaker 1: the FDC is now starting to investigate an acquisition that 117 00:06:57,360 --> 00:07:01,839 Speaker 1: Facebook made in the metaverse realm. So Facebook and metas 118 00:07:01,920 --> 00:07:05,000 Speaker 1: having it just so many challenges in front of it, uh, 119 00:07:05,640 --> 00:07:08,279 Speaker 1: on so many fronts that you know, this is really 120 00:07:08,360 --> 00:07:11,480 Speaker 1: the quarter where I've really become more concerned about the 121 00:07:11,520 --> 00:07:13,760 Speaker 1: company than I think I've ever been before in all 122 00:07:13,800 --> 00:07:17,360 Speaker 1: the years that I've covered it. Interesting, as you mentioned, 123 00:07:17,400 --> 00:07:19,840 Speaker 1: the FTC is trying to block Meta from buying a 124 00:07:19,920 --> 00:07:23,560 Speaker 1: VR company called Within Unlimited, and Tom, it's interesting that 125 00:07:23,560 --> 00:07:26,280 Speaker 1: there are already antitrust issues in a metaverse that doesn't 126 00:07:26,280 --> 00:07:30,040 Speaker 1: exist yet, and that Mark Zuckerberg seems to be pursuing 127 00:07:30,080 --> 00:07:34,040 Speaker 1: the straight same strategy, which is by not build exactly. 128 00:07:34,160 --> 00:07:37,320 Speaker 1: And the FTC has to be really careful here. Remember, 129 00:07:37,360 --> 00:07:39,840 Speaker 1: they have come under a lot of fire in recent 130 00:07:39,960 --> 00:07:43,880 Speaker 1: years for not calling out Facebook when it bought when 131 00:07:43,920 --> 00:07:47,480 Speaker 1: it bought out its potential competitors. It bought Instagram for 132 00:07:47,520 --> 00:07:50,000 Speaker 1: a billion dollars and that's become this huge business for them. 133 00:07:50,120 --> 00:07:53,559 Speaker 1: It bought it when Instagram was tiny and nobody batted 134 00:07:53,640 --> 00:07:57,040 Speaker 1: an eye What'sapp. It paid a lot more money for again, 135 00:07:57,400 --> 00:08:01,120 Speaker 1: a potential competitor. And so the FTC has been criticized 136 00:08:01,160 --> 00:08:04,400 Speaker 1: for not calling out Facebook and not saying, hey, we 137 00:08:04,480 --> 00:08:06,840 Speaker 1: need to take a really close look at these acquisitions 138 00:08:06,840 --> 00:08:10,000 Speaker 1: because you're taking out somebody who down the road could 139 00:08:10,040 --> 00:08:12,960 Speaker 1: be your competitors. You've got to bet they're looking really 140 00:08:13,000 --> 00:08:15,680 Speaker 1: closely at this deal, even though it's small. Well, either way, 141 00:08:15,880 --> 00:08:20,080 Speaker 1: big changes in store for Meta. This big executive leadership 142 00:08:20,160 --> 00:08:23,440 Speaker 1: change is going to be happening in November um and 143 00:08:23,480 --> 00:08:26,120 Speaker 1: we will of course be watching Bloomberg's Tom Giles thank 144 00:08:26,200 --> 00:08:29,880 Speaker 1: you as well as Debra Ajo Williamson insider intelligence. Always 145 00:08:29,880 --> 00:08:33,960 Speaker 1: great to have you as well. Meantime, Apple just poached 146 00:08:34,000 --> 00:08:36,760 Speaker 1: a twenty year veteran of Lamborghini to work on its 147 00:08:36,760 --> 00:08:39,800 Speaker 1: electric car. Luigi terra Barelli will join the project, which 148 00:08:39,800 --> 00:08:41,800 Speaker 1: has been under wrapped for years. The Apple car is 149 00:08:41,840 --> 00:08:45,320 Speaker 1: being designed by hundreds of former engineers from Tesla, Ford, 150 00:08:45,640 --> 00:08:49,280 Speaker 1: Rivian and other automakers. Apple plans to launch a car 151 00:08:51,600 --> 00:08:53,480 Speaker 1: coming up. The Senate passes a bill to make the 152 00:08:53,600 --> 00:08:56,960 Speaker 1: US less reliant on chips from abroad. How this could 153 00:08:57,080 --> 00:09:02,520 Speaker 1: dramatically reshape Silicon Valley's relationship with China. That's next, Mrs Bloomberg. 154 00:09:14,120 --> 00:09:16,400 Speaker 1: Qualcom earnings are the latest signal that there is a 155 00:09:16,559 --> 00:09:19,240 Speaker 1: change in consumer habits. The biggest maker of chips for 156 00:09:19,280 --> 00:09:23,599 Speaker 1: smartphones reporting and earnings miss reiterating a lackluster forecast for 157 00:09:23,640 --> 00:09:26,480 Speaker 1: the rest of the year. Meantime, this Senate has approved 158 00:09:26,480 --> 00:09:30,000 Speaker 1: a fifty two billion dollar bill to boost chip manufacturing 159 00:09:30,040 --> 00:09:33,559 Speaker 1: in the United States, which relies heavily on parts from overseas. 160 00:09:33,559 --> 00:09:36,240 Speaker 1: But the semi conductor industry is in for a rough 161 00:09:36,280 --> 00:09:39,880 Speaker 1: patch these next few years. The research firm Gartner slashed 162 00:09:39,880 --> 00:09:44,880 Speaker 1: its two global semiconductor sales growth forecast from to seven percent. 163 00:09:45,000 --> 00:09:47,599 Speaker 1: That is a huge drop from the tent jump in 164 00:09:47,679 --> 00:09:52,080 Speaker 1: chip sales we saw. Meantime, the Pentagon is making contingency 165 00:09:52,120 --> 00:09:56,760 Speaker 1: plans if how speaker Nancy Pelosi makes that trip to Taiwan, 166 00:09:57,120 --> 00:10:00,360 Speaker 1: though they say they don't think China would attack her lane. 167 00:10:01,320 --> 00:10:04,160 Speaker 1: They say the speaker is entering a hotspot. China, of course, 168 00:10:04,160 --> 00:10:06,800 Speaker 1: considers Taiwan part of its own territory and long source 169 00:10:06,840 --> 00:10:11,040 Speaker 1: of controversy now for decades. Bloomberg's Peter Elstrom are managing 170 00:10:11,160 --> 00:10:14,719 Speaker 1: editor out in Tokyo. Joins us now to discuss who 171 00:10:14,760 --> 00:10:16,719 Speaker 1: just happened to be here in town. There's a lot 172 00:10:16,760 --> 00:10:19,640 Speaker 1: going on here. What do you make of this Pelosi 173 00:10:19,720 --> 00:10:23,160 Speaker 1: visit to Taiwan in the middle of all of these 174 00:10:23,200 --> 00:10:26,640 Speaker 1: others very controversial at this point. I mean, clearly she 175 00:10:26,840 --> 00:10:30,160 Speaker 1: has ended up in a very tight spot where their 176 00:10:30,320 --> 00:10:34,360 Speaker 1: tensions on both sides. If she decides to proceed with 177 00:10:34,440 --> 00:10:37,080 Speaker 1: the visit that's going to cause problems with China. But 178 00:10:37,160 --> 00:10:39,320 Speaker 1: at this point it's very hard for her to also 179 00:10:39,440 --> 00:10:42,080 Speaker 1: back down and pull out of a visit that she 180 00:10:42,200 --> 00:10:45,959 Speaker 1: has been thinking about because it looks like they're stepping 181 00:10:46,000 --> 00:10:49,400 Speaker 1: back or retreating from this issue with China. Clearly, she 182 00:10:49,520 --> 00:10:52,040 Speaker 1: is going to put pressure on Biden during their phone 183 00:10:52,080 --> 00:10:54,720 Speaker 1: call to try to get him to apply pressure to 184 00:10:54,880 --> 00:10:58,240 Speaker 1: Nancy Pelosi uh sidestepping the fact that actually doesn't have 185 00:10:58,320 --> 00:11:01,559 Speaker 1: control over her action. She gets to make this decision herself. Anytime, 186 00:11:01,559 --> 00:11:03,520 Speaker 1: you have this Chips Act, which seems to be heading 187 00:11:03,559 --> 00:11:07,520 Speaker 1: to Biden's desk unlike other pieces of legislation, and this 188 00:11:07,600 --> 00:11:11,720 Speaker 1: is going to potentially massively reshape the relationship between China 189 00:11:11,760 --> 00:11:14,400 Speaker 1: and the rest of the tech world. Right that's the 190 00:11:14,440 --> 00:11:16,800 Speaker 1: hope of the US. I guess the question is are 191 00:11:16,840 --> 00:11:19,080 Speaker 1: we there yet? It's taken three years to get to 192 00:11:19,120 --> 00:11:21,440 Speaker 1: this point where the Senate has now passed the legislation, 193 00:11:21,600 --> 00:11:23,280 Speaker 1: but the House still has to sign off on this 194 00:11:23,840 --> 00:11:26,560 Speaker 1: legislation too, and then they have to reconcile the two bills. 195 00:11:26,760 --> 00:11:28,920 Speaker 1: It is fifty two billion dollars. As you say, that's 196 00:11:28,960 --> 00:11:32,400 Speaker 1: about thirty nine billion dollars in financial assistance, along with 197 00:11:32,440 --> 00:11:35,200 Speaker 1: another thirteen billion dollars for training and research and that 198 00:11:35,280 --> 00:11:37,480 Speaker 1: sort of thing. Just to put that in context. Fifty 199 00:11:37,520 --> 00:11:39,760 Speaker 1: two billion dollars, of course, sounds like a lot of money, 200 00:11:40,080 --> 00:11:42,720 Speaker 1: but tis m seats. How want Semi Conductor is going 201 00:11:42,760 --> 00:11:47,240 Speaker 1: to spend forty four billion dollars on capex just this year, 202 00:11:47,640 --> 00:11:50,480 Speaker 1: and the Chips Act is fifty fifty two billion dollars 203 00:11:50,480 --> 00:11:53,199 Speaker 1: over five years. So it's modest in the grand scheme 204 00:11:53,200 --> 00:11:57,920 Speaker 1: of things. It also signals that the US is uncomfortable 205 00:11:58,320 --> 00:12:01,440 Speaker 1: doing this kind of industrial policy. It historically has not 206 00:12:01,559 --> 00:12:03,719 Speaker 1: done it. But this crisis that we've seen in the 207 00:12:03,760 --> 00:12:06,880 Speaker 1: chips industry with shortages, chronic shortages that have knocked out 208 00:12:07,120 --> 00:12:10,560 Speaker 1: auto production in particular, has forced them to rethink how 209 00:12:10,600 --> 00:12:12,880 Speaker 1: they're going to do this, and instead of focusing on 210 00:12:12,920 --> 00:12:15,840 Speaker 1: the efficiency of the of the chip industry, they need 211 00:12:15,880 --> 00:12:20,480 Speaker 1: to focus on resiliency. To meantime, you've got another potentially 212 00:12:20,480 --> 00:12:24,160 Speaker 1: big shift happening in the chip industry itself, Qualcom coming 213 00:12:24,160 --> 00:12:27,280 Speaker 1: out missing estimates. We're hearing from the CEO of Qualcom 214 00:12:27,360 --> 00:12:30,120 Speaker 1: right now, Christiano Aman, on their earnings call, saying the 215 00:12:30,160 --> 00:12:35,920 Speaker 1: phone market is smaller than forecast this year. Um. You know, 216 00:12:36,000 --> 00:12:40,480 Speaker 1: obviously we've talked so much about the lack of chip supply. 217 00:12:40,640 --> 00:12:43,200 Speaker 1: Are we now going to see a glut of chip supply? 218 00:12:44,160 --> 00:12:46,920 Speaker 1: These cycles do happen in the chip industry all the time, 219 00:12:47,080 --> 00:12:49,400 Speaker 1: right That is the big question in the chip industry 220 00:12:49,520 --> 00:12:51,760 Speaker 1: right now, that we do go through these cycles, and 221 00:12:51,800 --> 00:12:54,640 Speaker 1: we've had shortages for so many years. Wait times are 222 00:12:54,640 --> 00:12:58,040 Speaker 1: still very very long. The signals seemed to be that 223 00:12:58,400 --> 00:13:01,079 Speaker 1: we need more production of chip, but Qualcom is an 224 00:13:01,080 --> 00:13:04,120 Speaker 1: early sign that they are seeing a slowdown. Part of that, 225 00:13:04,120 --> 00:13:06,240 Speaker 1: there's a caveat to that, and that's that they really 226 00:13:06,280 --> 00:13:08,400 Speaker 1: focus on the smartphone market right now. And you have 227 00:13:08,559 --> 00:13:12,800 Speaker 1: seen smartphone demands softening as consumers are hit with inflation 228 00:13:12,840 --> 00:13:15,720 Speaker 1: and some rising prices in other areas too. So that 229 00:13:15,800 --> 00:13:18,840 Speaker 1: may be a Qualcom specific issue, and you may still 230 00:13:18,920 --> 00:13:20,640 Speaker 1: have some of these chip shortages and the rest of 231 00:13:20,640 --> 00:13:23,440 Speaker 1: the supply chain. So what are you watching? Obviously, the 232 00:13:23,480 --> 00:13:26,800 Speaker 1: supply chain issues continue to evolve, and we've got a 233 00:13:26,800 --> 00:13:30,160 Speaker 1: big one. We've got Apple coming up tomorrow where we'll 234 00:13:30,200 --> 00:13:34,080 Speaker 1: get more insight into the supply chain. Well. Um, the 235 00:13:34,120 --> 00:13:37,200 Speaker 1: industry is very closely watching weight times around the chip 236 00:13:37,240 --> 00:13:40,800 Speaker 1: industry and exactly where those white weak times are. So 237 00:13:41,080 --> 00:13:43,679 Speaker 1: we've seen a little bit of a loosening in terms 238 00:13:43,679 --> 00:13:46,600 Speaker 1: of the ability to ship these chips. That's helped some 239 00:13:46,640 --> 00:13:50,280 Speaker 1: of the automakers. They're beginning to see some signs of improvement. 240 00:13:50,360 --> 00:13:53,559 Speaker 1: Tesla has talked about some improvements in the supply chain also, 241 00:13:53,640 --> 00:13:56,160 Speaker 1: but it's not resolved at this point. And to be clear, 242 00:13:56,240 --> 00:13:58,840 Speaker 1: this Chips Act is not going to address any of 243 00:13:58,880 --> 00:14:01,320 Speaker 1: this because these chip plants will take years to build, 244 00:14:01,360 --> 00:14:03,480 Speaker 1: at least two or three years before you can get 245 00:14:03,480 --> 00:14:06,440 Speaker 1: any of this production online. So that's a long term solution. 246 00:14:06,600 --> 00:14:09,000 Speaker 1: It's not going to address the short term problem, all right. 247 00:14:09,200 --> 00:14:20,800 Speaker 1: Peter Elstrom in time from Chokya, Thank you Now to 248 00:14:20,920 --> 00:14:24,560 Speaker 1: Going viral. Meta platforms is facing some backlash after some 249 00:14:24,600 --> 00:14:28,600 Speaker 1: of the most influential figures on their platforms, The Kardashians 250 00:14:28,600 --> 00:14:32,720 Speaker 1: are speaking out. Kylie Jenner and Kim Kardashian specifically speaking 251 00:14:32,720 --> 00:14:35,800 Speaker 1: out against recent changes to Facebook and Instagram that make 252 00:14:35,880 --> 00:14:39,720 Speaker 1: both platforms look and feel more like TikTok. The pair 253 00:14:39,760 --> 00:14:43,800 Speaker 1: have a combined six hundred eighties six million followers on 254 00:14:43,840 --> 00:14:47,800 Speaker 1: Instagram alone. Instagram CEO Adam Missary even posting a video 255 00:14:47,920 --> 00:14:52,080 Speaker 1: explaining the moves, which some belief puts Meta's interests before 256 00:14:52,200 --> 00:14:55,360 Speaker 1: their users. Bloomberg Sarah Fryer had a back and forth 257 00:14:55,480 --> 00:14:58,320 Speaker 1: with Massari on Twitter. She joins us now, and of course, 258 00:14:58,320 --> 00:15:01,080 Speaker 1: she wrote a book about Instagram. Am, what do you? 259 00:15:01,120 --> 00:15:03,000 Speaker 1: First of all, let's let's let's talk about what Kim 260 00:15:03,000 --> 00:15:06,600 Speaker 1: and Kylie have said. Don't make Instagram look like TikTok, right, 261 00:15:06,920 --> 00:15:08,640 Speaker 1: don't make it a little like TikTok. Make it so 262 00:15:08,680 --> 00:15:12,120 Speaker 1: I can see post from my friends again. Please, And 263 00:15:12,120 --> 00:15:16,480 Speaker 1: then Kim Kardashian added pretty please, So so listen. I 264 00:15:16,520 --> 00:15:19,000 Speaker 1: think the Kardashians also have another interest here, which is 265 00:15:19,040 --> 00:15:21,480 Speaker 1: that they have built their fame, They've built their businesses 266 00:15:22,680 --> 00:15:27,520 Speaker 1: via Instagram, via building that relationship with followers that makes 267 00:15:27,520 --> 00:15:30,640 Speaker 1: people want to buy their project products, by into their 268 00:15:30,680 --> 00:15:34,080 Speaker 1: projects and and really focus on everything that's happening in 269 00:15:34,120 --> 00:15:37,240 Speaker 1: their lives. It's part of reality TV, and they really 270 00:15:37,320 --> 00:15:40,480 Speaker 1: lean into that. And the changes that are happening on 271 00:15:40,560 --> 00:15:44,600 Speaker 1: Instagram right now and Facebook as well, are d prioritizing 272 00:15:44,840 --> 00:15:50,480 Speaker 1: those follower friend relationships in favor of injecting your feed 273 00:15:50,480 --> 00:15:54,760 Speaker 1: with content from people you may not follow like TikTok, 274 00:15:54,840 --> 00:15:58,160 Speaker 1: trying to have this discovery of new things to keep 275 00:15:58,200 --> 00:16:01,920 Speaker 1: you entertained, to retain young users, and to fend off 276 00:16:01,920 --> 00:16:05,440 Speaker 1: this competition from the fastest growing up out there. Now, 277 00:16:05,600 --> 00:16:08,400 Speaker 1: you had to back and forth with our Adamissary on Twitter, 278 00:16:08,720 --> 00:16:12,480 Speaker 1: and you talked about how look Kim and Kylie are 279 00:16:12,480 --> 00:16:15,480 Speaker 1: saying they want this. Instagram is saying they're making changes 280 00:16:15,480 --> 00:16:18,800 Speaker 1: based on what users seem to want, not just what 281 00:16:18,840 --> 00:16:21,480 Speaker 1: they say. They want to talk to us about your 282 00:16:21,520 --> 00:16:26,680 Speaker 1: back and forth. So I pointed out that adamissaries explanation 283 00:16:26,720 --> 00:16:29,440 Speaker 1: this video that you talked about was getting a lot 284 00:16:29,520 --> 00:16:31,800 Speaker 1: of backlash, and and he said, you know, I get 285 00:16:31,840 --> 00:16:34,000 Speaker 1: a lot of backlash all the time. People. People are 286 00:16:34,040 --> 00:16:37,840 Speaker 1: pretty pretty vocal when it comes to hating on what 287 00:16:37,880 --> 00:16:41,960 Speaker 1: I have to say and listen, I said, like executives 288 00:16:41,960 --> 00:16:43,680 Speaker 1: and social platforms, I have to figure out if they 289 00:16:43,680 --> 00:16:47,280 Speaker 1: want to listen to the loudest voices what their users 290 00:16:47,280 --> 00:16:48,920 Speaker 1: are saying, or if they want to listen to the 291 00:16:49,000 --> 00:16:52,120 Speaker 1: data in the Facebook has always been airing on the 292 00:16:52,160 --> 00:16:54,320 Speaker 1: side of listening to the data. Now I got a 293 00:16:54,320 --> 00:16:57,440 Speaker 1: lot of pushback for my comment because people were saying, well, 294 00:16:57,600 --> 00:17:00,880 Speaker 1: how is this data making sense if it's a Facebook 295 00:17:00,920 --> 00:17:03,480 Speaker 1: and Instagram are showing to us. Of course we're using 296 00:17:03,520 --> 00:17:06,920 Speaker 1: reels more because that's all we get to see. Show 297 00:17:07,000 --> 00:17:09,160 Speaker 1: us content from our friends, and we'll look at that too. 298 00:17:09,440 --> 00:17:11,919 Speaker 1: So so the design of a platform really has a 299 00:17:11,920 --> 00:17:16,000 Speaker 1: lot of impact on what users choose to do, because 300 00:17:16,119 --> 00:17:19,040 Speaker 1: these platforms are getting more and more passive, less and 301 00:17:19,119 --> 00:17:21,960 Speaker 1: less about what we choose. And you know, I wonder 302 00:17:22,000 --> 00:17:24,240 Speaker 1: if it makes sense, doesn't make sense to keep them 303 00:17:24,240 --> 00:17:28,320 Speaker 1: more differentiated. Is that a competitive advantage or does Instagram 304 00:17:28,359 --> 00:17:30,800 Speaker 1: just followed tik talk and say, well they're onto something. 305 00:17:30,840 --> 00:17:33,800 Speaker 1: You know. Another thing that Adam Sarry told me, which 306 00:17:33,840 --> 00:17:36,080 Speaker 1: confirmed one of my big suspicions, is that a lot 307 00:17:36,119 --> 00:17:39,760 Speaker 1: of the friends and family conversation is moving into the 308 00:17:39,840 --> 00:17:44,040 Speaker 1: other parts of their app Instagram stories, Instagram direct messaging, 309 00:17:44,400 --> 00:17:46,359 Speaker 1: and he said, yeah, that's that's really where we're seeing it. 310 00:17:46,720 --> 00:17:49,000 Speaker 1: And so from my perspective, I feel like the reason 311 00:17:49,040 --> 00:17:53,320 Speaker 1: that they need to stuff the main Instagram feed with 312 00:17:53,320 --> 00:17:57,680 Speaker 1: with reels their TikTok copycat is because people aren't posting anymore. 313 00:17:57,880 --> 00:18:01,359 Speaker 1: When's the last time you posted on your main Instagram feed? 314 00:18:01,720 --> 00:18:04,600 Speaker 1: It feels really formal like a big lift now and 315 00:18:04,920 --> 00:18:07,560 Speaker 1: people are posting more and more in stories because it 316 00:18:07,680 --> 00:18:10,640 Speaker 1: just feels less like part of their permanent record, less 317 00:18:10,680 --> 00:18:12,600 Speaker 1: like it has to be a huge life event. And 318 00:18:12,600 --> 00:18:15,320 Speaker 1: the same thing we saw happen on Facebook maybe five 319 00:18:15,359 --> 00:18:19,040 Speaker 1: years before UM, where people are now posting on Facebook 320 00:18:19,080 --> 00:18:21,240 Speaker 1: mostly if they have something really big to say, like 321 00:18:21,320 --> 00:18:23,920 Speaker 1: a new job or a wedding or a baby, as 322 00:18:23,920 --> 00:18:26,680 Speaker 1: opposed to just the mundane life updates that used to 323 00:18:26,720 --> 00:18:29,360 Speaker 1: seem worthy of such a platform. As we grow our 324 00:18:29,400 --> 00:18:35,320 Speaker 1: basis of of followers and following, it just seems less worthy. 325 00:18:35,359 --> 00:18:38,000 Speaker 1: That audience seems less worthy of our mundane life updates. 326 00:18:38,080 --> 00:18:42,400 Speaker 1: Who's winning, well, TikTok's definitely winning right now. I think 327 00:18:42,480 --> 00:18:46,160 Speaker 1: that's that's very clear. In Facebook's earning today, Meta's earnings today, 328 00:18:46,400 --> 00:18:50,159 Speaker 1: we see a slowdown in advertiser spending. But you have 329 00:18:50,280 --> 00:18:52,360 Speaker 1: to think, you know, that's not just about the economic 330 00:18:52,440 --> 00:18:56,000 Speaker 1: factors that they're citing. That's about this big change, the 331 00:18:56,080 --> 00:18:59,280 Speaker 1: sea change happening at the apps that is causing people 332 00:18:59,280 --> 00:19:03,119 Speaker 1: to use them, to rely or maybe abandoned them UM 333 00:19:03,119 --> 00:19:05,320 Speaker 1: And they have to do everything they can to make 334 00:19:05,359 --> 00:19:08,080 Speaker 1: this that work in order to fund the Metaverse Vision. 335 00:19:08,080 --> 00:19:11,720 Speaker 1: Down the line are resident Instagram expert Serafi Er. Thank 336 00:19:11,800 --> 00:19:23,640 Speaker 1: you so much for your analysis. Welcome back to Boomore Technology. 337 00:19:23,640 --> 00:19:25,960 Speaker 1: I'm Emily Changing in San Francisco. Welcome back. We're going 338 00:19:26,000 --> 00:19:28,280 Speaker 1: to talk about earnings now, a lot to unpack. I 339 00:19:28,280 --> 00:19:32,160 Speaker 1: want to dig into Spotify, which somehow avoided and add 340 00:19:32,200 --> 00:19:35,199 Speaker 1: slow down in the second quarter, escaping the fate of 341 00:19:35,240 --> 00:19:37,720 Speaker 1: other text docks like Snap. I want to bring in 342 00:19:37,720 --> 00:19:42,280 Speaker 1: Bloomberg's Ashley Carmen, who covers Spotify for us for more. So, 343 00:19:43,040 --> 00:19:47,119 Speaker 1: why did Spotify somehow pull out of this? You know, 344 00:19:47,600 --> 00:19:50,480 Speaker 1: they didn't actually give us a full reason as to 345 00:19:50,560 --> 00:19:54,080 Speaker 1: how they avoided this. They did say though, that you know, 346 00:19:54,119 --> 00:19:56,040 Speaker 1: maybe it was just this quarter. It does sound like 347 00:19:56,080 --> 00:19:58,040 Speaker 1: they're looking over their shoulder a bit more. I spope 348 00:19:58,040 --> 00:20:01,120 Speaker 1: that there's CEO Paul Glogal earlier to day. He said, 349 00:20:01,240 --> 00:20:04,840 Speaker 1: you know, Q three, they expect the slowdown, although still growth, 350 00:20:05,160 --> 00:20:07,200 Speaker 1: but they are looking over their shoulder. You know, could 351 00:20:07,320 --> 00:20:09,119 Speaker 1: it could crater? Could not? You know? It sounds like 352 00:20:09,160 --> 00:20:10,920 Speaker 1: they're kind of riding the way a little bit here. 353 00:20:11,200 --> 00:20:12,960 Speaker 1: But I guess I should also note that we're talking 354 00:20:13,040 --> 00:20:16,000 Speaker 1: about a lot less revenue here. I mean hundreds of 355 00:20:16,040 --> 00:20:18,960 Speaker 1: millions of dollars versus billions as far as the tech 356 00:20:18,960 --> 00:20:22,600 Speaker 1: stocks go. So you know, I think it's a bit 357 00:20:22,600 --> 00:20:24,879 Speaker 1: of a different scale as well, and a lot a 358 00:20:24,880 --> 00:20:28,320 Speaker 1: lot less to wrinkle. I'm curious how what's happening me 359 00:20:28,600 --> 00:20:31,679 Speaker 1: with Spotify. You know, perhaps on a smaller scale though, 360 00:20:32,240 --> 00:20:36,359 Speaker 1: is some sort of um, you know, signal about what 361 00:20:36,560 --> 00:20:38,600 Speaker 1: is happening on a larger scale as well. You know, 362 00:20:38,640 --> 00:20:42,680 Speaker 1: you see a platform that's adding users, but gross margin declining? 363 00:20:43,280 --> 00:20:47,280 Speaker 1: Is that a concern? So last quarter for Q one earnings, 364 00:20:47,280 --> 00:20:49,480 Speaker 1: gross margin was all anybody could talk about. When it 365 00:20:49,520 --> 00:20:53,080 Speaker 1: came to Spotify earnings, the stock crater, investors, it was 366 00:20:53,080 --> 00:20:56,480 Speaker 1: at the lowest levels it's ever been. Investors were concerned 367 00:20:56,520 --> 00:20:59,160 Speaker 1: about the margins because they, you know, Spotify has been 368 00:20:59,160 --> 00:21:01,960 Speaker 1: making all of these podcast investments, so the investors want 369 00:21:01,960 --> 00:21:04,359 Speaker 1: to say, hey, one of those gross margins going to 370 00:21:04,400 --> 00:21:06,760 Speaker 1: go up um. And then this quarter we really weren't 371 00:21:06,760 --> 00:21:10,520 Speaker 1: expecting them to improve drastically, but the gross margin actually dropped, 372 00:21:10,680 --> 00:21:13,760 Speaker 1: and Spotify said that's because they are ceasing production of 373 00:21:13,760 --> 00:21:17,400 Speaker 1: their car thing, which is basically a Bluetooth Spotify remote 374 00:21:17,480 --> 00:21:19,600 Speaker 1: for the car, and so that actually caused their gross 375 00:21:19,680 --> 00:21:22,080 Speaker 1: margin to go down. But that said, the stock is 376 00:21:22,160 --> 00:21:25,360 Speaker 1: up today. It doesn't seem like that spooked investors. Spotify 377 00:21:25,440 --> 00:21:27,479 Speaker 1: had an investor day in June where they said they 378 00:21:27,480 --> 00:21:29,679 Speaker 1: expect their margins to not drag so much from the 379 00:21:29,680 --> 00:21:33,639 Speaker 1: podcast investments going into three, so we'll see if that 380 00:21:33,760 --> 00:21:36,680 Speaker 1: long term vision holds true. Meantime, you of course still 381 00:21:36,800 --> 00:21:39,520 Speaker 1: have some artists who just won't put their music on Spotify. 382 00:21:39,600 --> 00:21:44,560 Speaker 1: Now you're seeing some podcasts leaving Spotify. What's happening there? Yeah, 383 00:21:44,640 --> 00:21:47,440 Speaker 1: So earlier today I published a story about a show 384 00:21:47,480 --> 00:21:50,080 Speaker 1: called The Pitch, which was kind of this original Gimlet 385 00:21:50,119 --> 00:21:53,280 Speaker 1: Media show, which Spotify acquired that company in twenty nineteen, 386 00:21:53,680 --> 00:21:56,080 Speaker 1: and how the host of that show actually just bought 387 00:21:56,080 --> 00:21:58,600 Speaker 1: it back from Spotify and is going to launch it independently. 388 00:21:58,880 --> 00:22:02,080 Speaker 1: And it's just an interesting move given that we saw 389 00:22:02,359 --> 00:22:06,280 Speaker 1: reply All kind of another Gimlet original show before the acquisition. 390 00:22:06,600 --> 00:22:09,920 Speaker 1: It ended its production in June. Another show that was 391 00:22:09,960 --> 00:22:12,000 Speaker 1: made by Gimlet called The Get Up, which was kind 392 00:22:12,040 --> 00:22:15,800 Speaker 1: of Spotify's attempt at a morning radio show format, that 393 00:22:15,960 --> 00:22:18,960 Speaker 1: also ended. So I'm not entirely clear what's going on 394 00:22:19,000 --> 00:22:20,800 Speaker 1: there to be Frank I think, you know, it's just 395 00:22:20,840 --> 00:22:23,760 Speaker 1: interesting to see all three of these shows. Clearly some 396 00:22:23,840 --> 00:22:26,600 Speaker 1: things that put They've had some leadership shakeups and promotions, 397 00:22:26,960 --> 00:22:29,280 Speaker 1: so you know, something is clearly going on with their 398 00:22:29,280 --> 00:22:32,200 Speaker 1: content strategy. It's just unclear what. Now. I'm gonna keep 399 00:22:32,200 --> 00:22:33,879 Speaker 1: talking about earnings. I want to bring in Mitchell Green, 400 00:22:33,920 --> 00:22:37,400 Speaker 1: founding partner of lead Edge Capital, his take on Meta's 401 00:22:37,480 --> 00:22:41,879 Speaker 1: results and more so, Mitch, look, you know, not great 402 00:22:42,240 --> 00:22:46,119 Speaker 1: across the board. That we did see daily active users 403 00:22:46,160 --> 00:22:49,480 Speaker 1: coming in slightly higher than estimates, but add revenue light, 404 00:22:49,560 --> 00:22:52,960 Speaker 1: overall revenue light, a big loss in in Reality Labs 405 00:22:52,960 --> 00:22:55,280 Speaker 1: two point eight billion dollars. You know where they are 406 00:22:55,320 --> 00:23:00,240 Speaker 1: investing heavily. What's your takeaway? Really, I haven't you know, 407 00:23:00,280 --> 00:23:02,760 Speaker 1: we don't own Facebook, and I'm not deep deal super 408 00:23:02,800 --> 00:23:04,840 Speaker 1: detailed involved in it. I think the stock was up 409 00:23:04,880 --> 00:23:07,400 Speaker 1: a little bit after hours, so the street must think 410 00:23:07,440 --> 00:23:11,480 Speaker 1: it was positive on it, and and I would tell 411 00:23:11,520 --> 00:23:15,760 Speaker 1: you that expectations, I'm sure we're pretty darn low on it. 412 00:23:16,359 --> 00:23:20,640 Speaker 1: I still think I think I think Facebook has some issues, 413 00:23:20,720 --> 00:23:24,200 Speaker 1: maybe under the covers um you're you're seeing. I think, 414 00:23:24,200 --> 00:23:27,000 Speaker 1: like Kim Kardashian, one of the Kardashians was out recently 415 00:23:27,359 --> 00:23:30,159 Speaker 1: tweeting or something up talking about how like she wished 416 00:23:30,240 --> 00:23:33,240 Speaker 1: Instagram we just stopped copying all the bite the bite dance, 417 00:23:33,240 --> 00:23:39,119 Speaker 1: slash TikTok uh you know, um, you know features, um, 418 00:23:39,359 --> 00:23:42,480 Speaker 1: you know, any bit's on their Instagram feeds can't help. 419 00:23:42,520 --> 00:23:45,920 Speaker 1: But notice how many ads there are. I think TikTok 420 00:23:46,000 --> 00:23:48,000 Speaker 1: has given these people. These guys are running for their 421 00:23:48,040 --> 00:23:52,639 Speaker 1: money in um in this you know, in this younger demographic. 422 00:23:53,320 --> 00:23:56,200 Speaker 1: And I think I think like Snapchat still is trying 423 00:23:56,200 --> 00:23:58,840 Speaker 1: to use the macro as the biggest reason, Like I 424 00:23:58,880 --> 00:24:01,560 Speaker 1: think they have other reason and that their users are 425 00:24:01,640 --> 00:24:04,719 Speaker 1: you know, on other platforms. Right, So, just how serious 426 00:24:04,760 --> 00:24:09,640 Speaker 1: do you think Facebook, slash Instagram's TikTok problem is? It's 427 00:24:09,680 --> 00:24:12,000 Speaker 1: pretty darm serious and it will be you know, I 428 00:24:12,280 --> 00:24:14,520 Speaker 1: don't know when you know full the sculosure we're bite 429 00:24:14,560 --> 00:24:19,680 Speaker 1: daanst investors, But whis TikTok um? I don't It would 430 00:24:19,720 --> 00:24:22,880 Speaker 1: be really fascinating to know, you know what, the very 431 00:24:22,920 --> 00:24:26,399 Speaker 1: specific when the public starts to know how fast the 432 00:24:26,640 --> 00:24:30,080 Speaker 1: bite dance and TikTok are growing. Um, I think there's 433 00:24:30,080 --> 00:24:32,720 Speaker 1: gonna be a lot more written about how much pain 434 00:24:32,840 --> 00:24:35,800 Speaker 1: these these companies are experiencing from these two. By the way, 435 00:24:36,040 --> 00:24:39,200 Speaker 1: just go ask a bunch of year olds or thirty 436 00:24:39,240 --> 00:24:41,280 Speaker 1: year olds, you know how much time they spend on 437 00:24:41,960 --> 00:24:47,200 Speaker 1: TikTok versus Instagram versus you know, Facebook blue Like that'll 438 00:24:47,200 --> 00:24:50,000 Speaker 1: our snapchat, That'll answer your question right. Well, the question 439 00:24:50,080 --> 00:24:54,800 Speaker 1: is is the digital ad spend also shifting stramatically? It 440 00:24:54,880 --> 00:24:57,399 Speaker 1: certainly seems like there's an attention shift, but is the 441 00:24:57,440 --> 00:24:59,800 Speaker 1: money's going to follow? I think I think it's like 442 00:24:59,840 --> 00:25:03,600 Speaker 1: it's so I was speaking the system again, um, due 443 00:25:03,640 --> 00:25:08,159 Speaker 1: to our bite Dance research and TikTok research. Um, I 444 00:25:08,200 --> 00:25:11,720 Speaker 1: think a lot of the TikTok um ad budgets are 445 00:25:11,760 --> 00:25:14,840 Speaker 1: still in the experimental phase. I think they're moving quickly 446 00:25:14,840 --> 00:25:18,359 Speaker 1: out of it and a much begger phases. But like again, 447 00:25:18,440 --> 00:25:21,760 Speaker 1: just relative to the size of Facebook, like you know, 448 00:25:21,960 --> 00:25:25,680 Speaker 1: TikTok's US business is not that big yet, but there's 449 00:25:25,720 --> 00:25:28,800 Speaker 1: obviously a huge amount of room to Expand you're also 450 00:25:28,800 --> 00:25:30,879 Speaker 1: an investor in Ali Baba and you know they're now 451 00:25:30,920 --> 00:25:34,439 Speaker 1: exploring this primary listing in Hong Kong. How are you 452 00:25:34,480 --> 00:25:37,000 Speaker 1: thinking about Chinese tech companies right now? There are so 453 00:25:37,080 --> 00:25:44,639 Speaker 1: many complicated dynamics. That's an understatement. UM. First, on the 454 00:25:44,640 --> 00:25:48,120 Speaker 1: Ali Baba question, UM, I think what they're I think 455 00:25:48,160 --> 00:25:51,000 Speaker 1: the biggest impact like the market as of when it 456 00:25:51,040 --> 00:25:53,600 Speaker 1: was kind of yesterday it was leaked to the day before. 457 00:25:54,160 --> 00:25:56,639 Speaker 1: It was kind of a muted response of a couple percent. 458 00:25:57,359 --> 00:25:59,719 Speaker 1: It wasn't down market, so it was a little more 459 00:25:59,720 --> 00:26:01,639 Speaker 1: big of but it wasn't like huge. I think the 460 00:26:01,680 --> 00:26:05,399 Speaker 1: biggest advantage to Ali Baba being the primary as I 461 00:26:05,440 --> 00:26:09,399 Speaker 1: understand that the primary listening to be in UM in 462 00:26:09,480 --> 00:26:11,800 Speaker 1: Hong Kong not in the US, is that they'll have 463 00:26:11,880 --> 00:26:14,680 Speaker 1: access to the China Connect, to the Hong Kong Connect, 464 00:26:14,760 --> 00:26:17,320 Speaker 1: which is a you know could I think I saw 465 00:26:17,359 --> 00:26:20,440 Speaker 1: one research channel, let's say anywhere from six billion of 466 00:26:20,520 --> 00:26:23,719 Speaker 1: incremental demand coming out of domestic China, I would want 467 00:26:23,720 --> 00:26:26,800 Speaker 1: to buy the stock. It's cheap, so was every other 468 00:26:26,960 --> 00:26:31,080 Speaker 1: Chinese you know internet company. UM. It will either prove 469 00:26:31,200 --> 00:26:33,240 Speaker 1: right now to be the best buy an opportunity or 470 00:26:33,400 --> 00:26:37,080 Speaker 1: probably dead money. UM. Your guests is I don't really 471 00:26:37,160 --> 00:26:42,280 Speaker 1: understand the zero COVID thing, UM, but it just makes 472 00:26:42,560 --> 00:26:45,919 Speaker 1: it appears to me these people are like like taking 473 00:26:45,960 --> 00:26:49,240 Speaker 1: their economy and they don't need to be But you 474 00:26:49,359 --> 00:26:51,199 Speaker 1: guess as good as mine is. Why and when that 475 00:26:51,320 --> 00:26:54,439 Speaker 1: ends and things like that. I like, you know, Wa 476 00:26:54,560 --> 00:26:59,240 Speaker 1: owned Somemali Baba, haven't bought more, haven't sold it? I 477 00:26:59,280 --> 00:27:02,680 Speaker 1: don't know. I you think though, that multiples are will 478 00:27:02,720 --> 00:27:04,879 Speaker 1: be in the multiple that somebody will pay for a 479 00:27:05,040 --> 00:27:09,120 Speaker 1: Chinese equity is going to be impaired for a long 480 00:27:09,200 --> 00:27:11,800 Speaker 1: time because but let's say, all of a sudden, they 481 00:27:11,840 --> 00:27:14,760 Speaker 1: get like you know, they get like more government approval 482 00:27:14,800 --> 00:27:16,960 Speaker 1: of the government looks friendly. Well guess what it doesn't 483 00:27:17,000 --> 00:27:18,840 Speaker 1: mean in two years they change their mind. And I 484 00:27:18,840 --> 00:27:21,679 Speaker 1: think people are gonna remember that. Well, hopefully for you 485 00:27:21,840 --> 00:27:25,760 Speaker 1: not dead money. I understand Dial Capital got acquired a 486 00:27:25,800 --> 00:27:29,360 Speaker 1: minority stake and lead Edge Capital. How do you see 487 00:27:29,440 --> 00:27:32,520 Speaker 1: lead Edge differating, differentiating itself from the pack? You know, 488 00:27:32,600 --> 00:27:36,920 Speaker 1: where do you think you're going to find the next uber? Yeah, 489 00:27:36,960 --> 00:27:40,000 Speaker 1: that's a good question. So how we how we differentiate 490 00:27:40,000 --> 00:27:42,760 Speaker 1: ourselves is very unique for most funds, and that like 491 00:27:42,960 --> 00:27:47,880 Speaker 1: most funds are solely backed by the endowments, pension funds, universities, 492 00:27:47,920 --> 00:27:52,440 Speaker 1: insurance companies. Most of our capital by number, actually of 493 00:27:52,480 --> 00:27:55,600 Speaker 1: our capital by a number of investors is actually like 494 00:27:55,600 --> 00:27:59,320 Speaker 1: world class exacts and entrepreneurs, and we leverage those people 495 00:27:59,400 --> 00:28:02,919 Speaker 1: to like help our companies grow faster. UH. And so 496 00:28:02,960 --> 00:28:04,920 Speaker 1: whether you know, somebody might be looking for a female 497 00:28:04,920 --> 00:28:08,760 Speaker 1: audit chair, are looking for like customer intros or things 498 00:28:08,760 --> 00:28:11,119 Speaker 1: like that. And in the whole LP base has grown 499 00:28:11,280 --> 00:28:14,360 Speaker 1: via like word of mouth over the last decade UM 500 00:28:14,400 --> 00:28:16,280 Speaker 1: and so like, we think there's a ton of interesting 501 00:28:16,320 --> 00:28:20,760 Speaker 1: opportunities in software and that our LP base can help 502 00:28:21,240 --> 00:28:24,240 Speaker 1: UH and enable companies to grow faster and even fortunate 503 00:28:24,280 --> 00:28:27,080 Speaker 1: to back a bunch of great companies, whether it's companies 504 00:28:27,119 --> 00:28:32,680 Speaker 1: like Toast or Asana or Bizarre Voice and Marcato earlier 505 00:28:32,760 --> 00:28:36,920 Speaker 1: on our companies like Well Health, the whole host of companies. 506 00:28:37,240 --> 00:28:39,360 Speaker 1: Mitchell Green always great to have you here on the show, 507 00:28:39,360 --> 00:28:43,800 Speaker 1: founding partner of lead Edge Capital, Thanks for stopping by. Meantime, 508 00:28:43,840 --> 00:28:47,360 Speaker 1: Twitter is leaning harder into cost cutting itself and remote work, 509 00:28:47,440 --> 00:28:49,960 Speaker 1: the company cutting back on physical office space in a 510 00:28:50,040 --> 00:28:53,920 Speaker 1: number of cities including San Francisco, New York, and Sydney. 511 00:28:54,080 --> 00:28:56,920 Speaker 1: This in a memo to employees, Twitter says the move 512 00:28:57,040 --> 00:29:00,920 Speaker 1: doesn't affect current headcount of employees UM And of course 513 00:29:00,920 --> 00:29:15,480 Speaker 1: there's that ongoing lawsuit with Elon musk time now for 514 00:29:15,640 --> 00:29:18,600 Speaker 1: crypto report, and the crypto winter has been brutal. But 515 00:29:18,680 --> 00:29:20,479 Speaker 1: let's take a look at DEFY and see how that 516 00:29:20,680 --> 00:29:24,600 Speaker 1: is faring this downturn. Our crypto contributor Sali Bostick here 517 00:29:24,760 --> 00:29:27,680 Speaker 1: with more sale. Yeah, absolutely, Emily, because the reason we're 518 00:29:27,680 --> 00:29:29,800 Speaker 1: talking about this is a lot of the big failures 519 00:29:29,800 --> 00:29:31,920 Speaker 1: you've seen, the big withdrawals you've seen, and the big 520 00:29:31,960 --> 00:29:34,800 Speaker 1: issues you've seen with regulation are with the centralized platform. 521 00:29:34,840 --> 00:29:37,400 Speaker 1: So let's take a look at DEFY. Then. Yes, it's 522 00:29:37,400 --> 00:29:39,920 Speaker 1: down on the year about sixty two. That is more 523 00:29:39,960 --> 00:29:42,600 Speaker 1: than you've seen in bitcoin. But at the same time, 524 00:29:42,640 --> 00:29:46,160 Speaker 1: you're seeing a big hop back up this month about 525 00:29:46,520 --> 00:29:50,520 Speaker 1: about percent higher. And I've got to say even today alone, 526 00:29:50,840 --> 00:29:53,040 Speaker 1: you've seen bitcoin jump on the heels of the Federal 527 00:29:53,120 --> 00:29:56,160 Speaker 1: Reserve interest rate hike, and you've seen the Defy index 528 00:29:56,320 --> 00:29:59,280 Speaker 1: here the Bloomberg Galaxy Defy Index hop up even further. 529 00:29:59,600 --> 00:30:02,000 Speaker 1: So you are seeing that, yes, big drop off more 530 00:30:02,000 --> 00:30:04,520 Speaker 1: than six percent this year, be more than you're seeing 531 00:30:04,640 --> 00:30:07,920 Speaker 1: bitcoin more than fifty this year. The DeFi index that 532 00:30:07,960 --> 00:30:10,440 Speaker 1: we're looking at, we're going to be diving deeper into 533 00:30:10,560 --> 00:30:12,400 Speaker 1: because what does it, what is it made up of 534 00:30:12,480 --> 00:30:15,040 Speaker 1: It's made up of things like unite Swap, of a Maker, 535 00:30:15,120 --> 00:30:18,440 Speaker 1: Doubt Curve, and just a lot of companies and projects 536 00:30:18,480 --> 00:30:21,120 Speaker 1: that have really held up more than you've seen in 537 00:30:21,160 --> 00:30:24,160 Speaker 1: other areas in centralized finance. So the big question here, 538 00:30:24,160 --> 00:30:27,080 Speaker 1: Emily is what is the future of defy. Is it 539 00:30:27,200 --> 00:30:29,640 Speaker 1: the answer to the industry's problems and does it start 540 00:30:29,680 --> 00:30:31,720 Speaker 1: to hop back even more than what we've seen this month? 541 00:30:32,400 --> 00:30:35,400 Speaker 1: C five versus tv Ocationale. We're going to dig into 542 00:30:35,400 --> 00:30:36,600 Speaker 1: this a little bit more. I want to bring in 543 00:30:36,640 --> 00:30:41,080 Speaker 1: Mary Catherine later, CEO of the Decentralized exchange unice swap, 544 00:30:41,080 --> 00:30:45,120 Speaker 1: which allows users to trade cryptocurrencies without the involvement of 545 00:30:45,160 --> 00:30:50,800 Speaker 1: a centralized third party like other platforms like coin based cracking. Uh. 546 00:30:50,840 --> 00:30:52,479 Speaker 1: Mary Catherine, I want to ask you first of all, 547 00:30:52,520 --> 00:30:55,480 Speaker 1: we saw today Kathy Would, for example, selling some coin 548 00:30:55,520 --> 00:30:58,200 Speaker 1: based shares. There is a lot going on here and 549 00:30:58,320 --> 00:31:02,000 Speaker 1: investors trying to interpret some nick signals. What's your take 550 00:31:02,200 --> 00:31:05,720 Speaker 1: on what's happening in in C five versus d FI 551 00:31:06,000 --> 00:31:09,160 Speaker 1: and where this is all headed? Well, thanks for having 552 00:31:09,200 --> 00:31:11,320 Speaker 1: me first. Let me Esa whige a little bit of 553 00:31:11,320 --> 00:31:14,320 Speaker 1: from a distinction between c FI and d FI. So UM. 554 00:31:14,320 --> 00:31:17,600 Speaker 1: While we know SAP certainly believe in crypto broadly, but 555 00:31:17,720 --> 00:31:20,160 Speaker 1: that's as an asks the class or the underlying technology. 556 00:31:20,400 --> 00:31:22,760 Speaker 1: Un swap and DeFi really is about the technology. It's 557 00:31:22,760 --> 00:31:27,600 Speaker 1: really about decentralized rails for financial activity UM. In contrast, 558 00:31:27,680 --> 00:31:30,720 Speaker 1: a centralized exchange, as you know, operates the same way 559 00:31:30,760 --> 00:31:33,760 Speaker 1: frankly that a traditional exchange does, but with digital assets. 560 00:31:33,960 --> 00:31:36,240 Speaker 1: So that's a critical difference. It means that they're taking 561 00:31:36,240 --> 00:31:38,720 Speaker 1: buy and sell orders, they're managing risk, they may be 562 00:31:38,760 --> 00:31:41,680 Speaker 1: managing a balance sheet UM, whereas in contrast, unit swap 563 00:31:41,680 --> 00:31:45,120 Speaker 1: with de centralized protocol is self executing code. It's kind 564 00:31:45,160 --> 00:31:47,200 Speaker 1: of like you think about it as like SMTP as 565 00:31:47,240 --> 00:31:49,680 Speaker 1: the core protocol at the core of email, and then 566 00:31:49,680 --> 00:31:52,480 Speaker 1: you have applications like Gmail and others on top of 567 00:31:52,520 --> 00:31:55,760 Speaker 1: them that help you UM actually use those protocols. So 568 00:31:55,920 --> 00:31:57,760 Speaker 1: in the what we've seen in the past few months 569 00:31:58,160 --> 00:32:02,280 Speaker 1: is frankly risk mant challenges at some of the centralized 570 00:32:02,560 --> 00:32:05,880 Speaker 1: players that have struggled UM, and and also some some 571 00:32:05,960 --> 00:32:10,920 Speaker 1: internal risk control challenges. Again, in contrast, these decentralized protocols 572 00:32:10,960 --> 00:32:14,320 Speaker 1: don't ever touch customer money, they don't have customer accounts 573 00:32:14,440 --> 00:32:17,280 Speaker 1: and so that means that um, the what you manage 574 00:32:17,360 --> 00:32:20,480 Speaker 1: risk is by having really effective software that's audited, that's 575 00:32:20,480 --> 00:32:22,800 Speaker 1: battle tested, and so in the past few months there's 576 00:32:22,800 --> 00:32:26,120 Speaker 1: been plenty of volatility and defied protocols have have proven 577 00:32:26,160 --> 00:32:29,880 Speaker 1: themselves generally resilient and have not been hacked, have been 578 00:32:29,960 --> 00:32:32,840 Speaker 1: have been secure, and have performed well. Let's talk about 579 00:32:32,840 --> 00:32:35,240 Speaker 1: this a little more in terms of the customer itself. 580 00:32:35,240 --> 00:32:37,960 Speaker 1: There's a lot of talk about how customers get paid 581 00:32:37,960 --> 00:32:41,520 Speaker 1: back more fairly when it comes to defy rather than cify. 582 00:32:42,320 --> 00:32:44,920 Speaker 1: Is that true and to the extent that it is 583 00:32:45,080 --> 00:32:48,000 Speaker 1: true or not true? What is allowing that to happen 584 00:32:48,200 --> 00:32:52,280 Speaker 1: at M with more certainty? Totally? So it is a 585 00:32:52,280 --> 00:32:54,920 Speaker 1: completely different business model. So when you're training with the 586 00:32:54,920 --> 00:32:58,240 Speaker 1: centralized exchange, their entire business models to make the spread 587 00:32:58,280 --> 00:33:00,240 Speaker 1: in the same way this for a traditional market maker 588 00:33:00,360 --> 00:33:03,360 Speaker 1: or exchange UH to make the spread on a transaction 589 00:33:03,400 --> 00:33:06,880 Speaker 1: as well as a transaction fee, whereas in a decentralized 590 00:33:06,920 --> 00:33:10,160 Speaker 1: exchange there is a two sided marketplace. So anyone can 591 00:33:10,200 --> 00:33:12,880 Speaker 1: become a liquidity provider or a market maker, and that 592 00:33:13,000 --> 00:33:15,760 Speaker 1: liquidity provider then gets their proad of share of the 593 00:33:15,800 --> 00:33:18,840 Speaker 1: fees from the trades executed on the platform, so UNI 594 00:33:18,880 --> 00:33:22,160 Speaker 1: swap actually has no revenue associated with the decentralized you 595 00:33:22,200 --> 00:33:25,440 Speaker 1: know swap protocol. Instead, all of those fees are they're 596 00:33:25,480 --> 00:33:29,080 Speaker 1: essentially flat fees that are redistributed and predescribed the flat 597 00:33:29,080 --> 00:33:33,680 Speaker 1: fees at predescribed rates that are then redistributed to liquidity providers. 598 00:33:33,720 --> 00:33:35,360 Speaker 1: What that means is that you could trade on a 599 00:33:35,400 --> 00:33:38,240 Speaker 1: centralized exchange for three to five percent, and you could 600 00:33:38,240 --> 00:33:40,120 Speaker 1: trade on UNI swap for one basis point to a 601 00:33:40,200 --> 00:33:43,080 Speaker 1: hundred basis points. So it ends up being a really material, 602 00:33:43,200 --> 00:33:46,800 Speaker 1: material difference. I should add the fees that you do 603 00:33:46,840 --> 00:33:49,000 Speaker 1: have and defy are the network fees. So like gas 604 00:33:49,080 --> 00:33:51,520 Speaker 1: fees on the theory ofm that you and your audients 605 00:33:51,520 --> 00:33:53,840 Speaker 1: are likely familiar with right now, those are very low 606 00:33:53,880 --> 00:33:57,160 Speaker 1: because there's less network activity. But overall the business model 607 00:33:57,200 --> 00:34:00,920 Speaker 1: for defy is fundamentally different. It's using and source code 608 00:34:01,000 --> 00:34:04,040 Speaker 1: to provide the activities that have traditionally been performed by 609 00:34:04,080 --> 00:34:06,840 Speaker 1: central intermediaries. And so we think about the promise of 610 00:34:06,880 --> 00:34:09,640 Speaker 1: blockchains that we've been sort of awaiting to see in 611 00:34:10,160 --> 00:34:12,759 Speaker 1: UH in traditional markets for some time. I think what 612 00:34:12,800 --> 00:34:14,480 Speaker 1: we've seen in the past few months, is how that 613 00:34:14,520 --> 00:34:16,880 Speaker 1: can become very very different, how the benefits of the 614 00:34:16,960 --> 00:34:19,120 Speaker 1: user is very different, and how in the case of 615 00:34:19,160 --> 00:34:22,760 Speaker 1: market volatility, they still can really perform and and prove resilient. 616 00:34:23,080 --> 00:34:26,399 Speaker 1: What are the lessons you've taken from this very tumultuous 617 00:34:26,480 --> 00:34:31,520 Speaker 1: time about how to make defy more resilient. I think 618 00:34:31,600 --> 00:34:35,640 Speaker 1: most important is to anticipate how to protect your users 619 00:34:36,080 --> 00:34:38,520 Speaker 1: and how to ensure security that if we want to 620 00:34:38,680 --> 00:34:40,759 Speaker 1: grow at this point all of Defy is still only 621 00:34:40,760 --> 00:34:43,600 Speaker 1: about four million users. In order for this technology to 622 00:34:43,600 --> 00:34:47,040 Speaker 1: get broader mass adoption, we have to explain its benefits better. 623 00:34:47,440 --> 00:34:50,239 Speaker 1: Uh so the cost benefits that I've just described, but 624 00:34:50,280 --> 00:34:53,560 Speaker 1: then we also have to ensort making it simpler and 625 00:34:53,560 --> 00:34:56,440 Speaker 1: easier to use. Part of why people use centralized exchanges 626 00:34:56,560 --> 00:34:58,719 Speaker 1: is that they have on ramps you can exchange your 627 00:34:58,760 --> 00:35:02,839 Speaker 1: dollars for crypto. Uh they buy sports and stadium sponsorships 628 00:35:02,880 --> 00:35:04,640 Speaker 1: and so you heard of them. And this is an 629 00:35:04,680 --> 00:35:08,600 Speaker 1: opportunity I think to gred drive greater awareness of Defy 630 00:35:08,760 --> 00:35:11,279 Speaker 1: so that people understand some of those benefits. And the 631 00:35:11,320 --> 00:35:13,840 Speaker 1: second thing I mentioned is that it's an opportunity to 632 00:35:13,960 --> 00:35:17,919 Speaker 1: introduce risk management measures and screening that can help people 633 00:35:17,960 --> 00:35:20,520 Speaker 1: understand the risk that they're taking even if we don't 634 00:35:20,560 --> 00:35:23,560 Speaker 1: yet have regulatory clarity in the great level of detail. 635 00:35:23,800 --> 00:35:26,920 Speaker 1: All right, Mary Katherine later Unit SWAP Chief operating Officer, 636 00:35:26,960 --> 00:35:30,239 Speaker 1: along with our Sinali Bossic. Thank you for helping us 637 00:35:30,440 --> 00:35:34,839 Speaker 1: better understand a very complex topic. Appreciate it. Coming up 638 00:35:34,840 --> 00:35:38,279 Speaker 1: more updates on metas earnings. Stay with us. This is 639 00:35:38,280 --> 00:35:53,719 Speaker 1: Glover tex stox rallied as Jerome Pal said, the FED 640 00:35:53,800 --> 00:35:57,280 Speaker 1: will slow the pace of rate increases at one point. 641 00:35:57,360 --> 00:36:01,320 Speaker 1: Let's talk above hat and wrap attack results of the 642 00:36:01,400 --> 00:36:03,680 Speaker 1: day with our own Ludlow. You've been listening into the 643 00:36:03,719 --> 00:36:05,919 Speaker 1: medical Yeah, I think it's really interesting to take away 644 00:36:05,920 --> 00:36:08,359 Speaker 1: from the FED. Was Fed Jpal saying we don't see 645 00:36:08,360 --> 00:36:11,200 Speaker 1: a recession. We see no signs of recession, and yet 646 00:36:11,680 --> 00:36:14,759 Speaker 1: on the earnings called. Mark Zuckerberg, CEO of Meta, had 647 00:36:14,800 --> 00:36:18,920 Speaker 1: this to say, they do see an economic quote downturn. Now, 648 00:36:18,960 --> 00:36:21,800 Speaker 1: economic downturn is another word for a recession. However you 649 00:36:21,840 --> 00:36:23,719 Speaker 1: want to slice it and dice it. The main thing 650 00:36:23,800 --> 00:36:26,640 Speaker 1: is that budgets from advertisers are getting smaller, and no 651 00:36:26,680 --> 00:36:29,920 Speaker 1: matter what Meta says, that's going to hurt them. The question, 652 00:36:29,920 --> 00:36:31,880 Speaker 1: of course is what's the broader takeaway here? And is 653 00:36:31,880 --> 00:36:34,360 Speaker 1: this is this a downward the start of a downward 654 00:36:34,360 --> 00:36:37,520 Speaker 1: trend for sales, the first quarterly decline ever. You and 655 00:36:37,520 --> 00:36:39,439 Speaker 1: I were talking about how this has been a weird week, 656 00:36:39,719 --> 00:36:41,120 Speaker 1: you know, on the one hand, yet where is my 657 00:36:41,160 --> 00:36:46,480 Speaker 1: sound effects? Right? Okay? Alphabets saying lots of search for travel, 658 00:36:46,760 --> 00:36:48,600 Speaker 1: but I point out something's in bugging me for twenty 659 00:36:48,640 --> 00:36:51,520 Speaker 1: four hours. They also said that travel partners have been 660 00:36:51,560 --> 00:36:53,439 Speaker 1: seeing headwinds. In other words, lots of people are googling 661 00:36:53,480 --> 00:36:56,160 Speaker 1: where should go on holiday, but the advertisers are pulling back. 662 00:36:56,320 --> 00:36:59,360 Speaker 1: But alphabet stock went up. Metas results the outlook for 663 00:36:59,360 --> 00:37:02,480 Speaker 1: the current period not strong, but it's getting tighter. It's 664 00:37:02,560 --> 00:37:05,400 Speaker 1: they are giving the opposite view that actually the strength 665 00:37:05,440 --> 00:37:08,279 Speaker 1: in their market's not there. We're getting inconsistency. We're seeing 666 00:37:08,320 --> 00:37:10,839 Speaker 1: in the chip sector as well. Remember Texas Instruments earlier 667 00:37:10,840 --> 00:37:13,239 Speaker 1: in the week, very good, Malcolm, not so good today. 668 00:37:13,280 --> 00:37:16,160 Speaker 1: And we're also talking about mrs and beats by you know, 669 00:37:16,360 --> 00:37:20,880 Speaker 1: very small margins. Alphabets add revenue beats by a small margin. 670 00:37:21,000 --> 00:37:24,400 Speaker 1: Facebook's ad revenue missed, yes, by a small margin, and 671 00:37:24,440 --> 00:37:27,000 Speaker 1: that sends a big signal to investors, and you're always 672 00:37:27,000 --> 00:37:29,920 Speaker 1: wondering if they're over interpreting those signals. But you wonder 673 00:37:30,160 --> 00:37:33,400 Speaker 1: if Alphabet is in a better position than matter. Yeah, 674 00:37:33,440 --> 00:37:36,160 Speaker 1: there there seems to be strength in search. You remember 675 00:37:36,320 --> 00:37:40,040 Speaker 1: with with alphabet, YouTube was not as strong. It's all growth, 676 00:37:40,040 --> 00:37:42,160 Speaker 1: but nothing like the same period a year ago. If 677 00:37:42,160 --> 00:37:44,160 Speaker 1: there's a shining light for Meta, and we've got to 678 00:37:44,200 --> 00:37:47,560 Speaker 1: give them some positivity this time a year ago, what 679 00:37:47,640 --> 00:37:50,680 Speaker 1: was happening Apple was changing its iOS settings. That was 680 00:37:50,719 --> 00:37:53,320 Speaker 1: when we first started to see the pain for Meta 681 00:37:53,360 --> 00:37:57,040 Speaker 1: and advertisers around tracking right on the platform. And what 682 00:37:57,080 --> 00:37:59,840 Speaker 1: they're saying is that thankfully, going into the next period, 683 00:37:59,840 --> 00:38:02,440 Speaker 1: the comparable as a favorable as lasts last year as 684 00:38:02,440 --> 00:38:05,239 Speaker 1: a disaster. So glad you mentioned App because we're gonna 685 00:38:05,239 --> 00:38:08,400 Speaker 1: be all over Apple tomorrow as well as Amazon, Apple 686 00:38:08,440 --> 00:38:11,760 Speaker 1: and earning Apple and Amazon the next to report. Okay, 687 00:38:12,000 --> 00:38:14,760 Speaker 1: ed Letlow, thank you. That does it for this edition 688 00:38:14,840 --> 00:38:18,080 Speaker 1: of Bloomberg Technology. We're also gonna be talking to Qualcom 689 00:38:18,200 --> 00:38:21,879 Speaker 1: CEO Cristiano I'm on Thursday on the back of their results. 690 00:38:22,320 --> 00:38:26,319 Speaker 1: In addition to Apple, Amazon and so much more. Don't 691 00:38:26,320 --> 00:38:29,120 Speaker 1: forget to check out our podcast wherever you get your podcast. 692 00:38:29,160 --> 00:38:31,400 Speaker 1: I'm Emily checking in San Francisco. This is Bloomberg