1 00:00:02,200 --> 00:00:05,480 Speaker 1: From the heart of work, innovation, money and power. CALLI 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 --> 00:00:26,360 Speaker 1: Emily Jay. I'm Caroline Hyde in New York in for 4 00:00:26,440 --> 00:00:29,120 Speaker 1: Emily Chang, and this is Bloomberg Technology. Coming up. In 5 00:00:29,160 --> 00:00:31,280 Speaker 1: the next hour, earnings come thick and fast. We delve 6 00:00:31,320 --> 00:00:34,239 Speaker 1: in on Alphabet shares full after third quarter earnings per 7 00:00:34,320 --> 00:00:38,080 Speaker 1: share and sales they miss estimates, search, YouTube, the network 8 00:00:38,159 --> 00:00:41,199 Speaker 1: division all full short of analyst expectations. We're going to 9 00:00:41,240 --> 00:00:43,000 Speaker 1: break it all down for you in the Ripple Effects 10 00:00:43,200 --> 00:00:46,159 Speaker 1: plus Built Rewards, the company that uses a point system 11 00:00:46,200 --> 00:00:48,240 Speaker 1: to help you pay rent or a home down payment 12 00:00:48,560 --> 00:00:51,960 Speaker 1: just for its valuation quadruple Overnight, I'll chat with the CEO, 13 00:00:52,159 --> 00:00:54,920 Speaker 1: Uncle Jane, about the startups, unicorn status and what it 14 00:00:54,960 --> 00:00:58,000 Speaker 1: plans to do in a tough housing market. And it 15 00:00:58,160 --> 00:01:01,200 Speaker 1: is the only story you need to read about Crypto. Ever, 16 00:01:01,640 --> 00:01:04,880 Speaker 1: Bloomberg's Matt Levine has written a cover to cover issue 17 00:01:04,920 --> 00:01:07,480 Speaker 1: of Bloomberg Business Week, the second of its kind in 18 00:01:07,520 --> 00:01:10,320 Speaker 1: the magazine's nine three year history. Us Later in the hour, 19 00:01:11,080 --> 00:01:13,880 Speaker 1: we pushed towards further earnings, further fundamentals, and we bring 20 00:01:13,920 --> 00:01:16,280 Speaker 1: in while the ramifications of the latest dost that we 21 00:01:16,360 --> 00:01:17,880 Speaker 1: just got after the bow. I'm prettysed to say that 22 00:01:17,920 --> 00:01:20,319 Speaker 1: broad Sweet Media Group CEO Daniel Newman is with us. 23 00:01:20,400 --> 00:01:23,000 Speaker 1: Is also the founding part of Principal Analysts of Future 24 00:01:23,080 --> 00:01:25,479 Speaker 1: and Research, basically a man who's at the cuting edge 25 00:01:25,520 --> 00:01:27,919 Speaker 1: of what digital transformation means for you and your business 26 00:01:28,240 --> 00:01:31,920 Speaker 1: and can analyze. Basically, we'll go with either market capitalization 27 00:01:32,000 --> 00:01:34,480 Speaker 1: or market impact, and I think market impact is going 28 00:01:34,520 --> 00:01:37,680 Speaker 1: to be coming from Alphabet today, and I'm interested in 29 00:01:37,680 --> 00:01:41,520 Speaker 1: your perspective, Daniel, Well, it was a miss any real 30 00:01:41,640 --> 00:01:46,560 Speaker 1: areas concerned, though, Well, I think we had an overall expectation, Caroline, 31 00:01:46,720 --> 00:01:49,000 Speaker 1: of seeing the ad market pullback. I think the big 32 00:01:49,040 --> 00:01:50,760 Speaker 1: concertain isn't as much for Google as it is for 33 00:01:50,800 --> 00:01:52,680 Speaker 1: the rest of the ad space. As I said to 34 00:01:52,760 --> 00:01:54,720 Speaker 1: Emily last quarter when I joined the show at the 35 00:01:54,760 --> 00:01:57,360 Speaker 1: same period of time, I said, Alphabet's top of the heat. 36 00:01:57,520 --> 00:02:00,640 Speaker 1: There are the technology for advertised are that is going 37 00:02:00,640 --> 00:02:02,600 Speaker 1: to be the last to be removed, the last to 38 00:02:02,640 --> 00:02:06,120 Speaker 1: be slowed. And this means that the advertised business is 39 00:02:06,160 --> 00:02:09,760 Speaker 1: slowing significantly, and I'm worried about what this means for Meta. 40 00:02:09,800 --> 00:02:12,720 Speaker 1: We already saw what happened to snap um, So that's 41 00:02:12,800 --> 00:02:15,720 Speaker 1: my biggest concern. I still think that the Google business 42 00:02:15,720 --> 00:02:18,600 Speaker 1: overall is robust. I think it's the best of class, 43 00:02:19,160 --> 00:02:22,320 Speaker 1: and I'm still optimistic that going forward that Google is 44 00:02:22,360 --> 00:02:24,919 Speaker 1: still going to offer a lot of value to its shareholders. 45 00:02:25,280 --> 00:02:27,040 Speaker 1: I was also a little concerned about the slowing of 46 00:02:27,040 --> 00:02:29,640 Speaker 1: the cloud business. Despite the fact that it beat, it 47 00:02:29,680 --> 00:02:31,600 Speaker 1: didn't quite keep up with what we saw from Azure 48 00:02:31,720 --> 00:02:33,600 Speaker 1: this quarter. And that's going to be something to watch 49 00:02:33,680 --> 00:02:35,920 Speaker 1: as well, because they're pouring a lot in they're still 50 00:02:35,960 --> 00:02:39,360 Speaker 1: losing money in that particular business. But I did I 51 00:02:39,360 --> 00:02:41,680 Speaker 1: did attend their Google Cloud Next event. I did hear 52 00:02:41,720 --> 00:02:43,720 Speaker 1: from Thomas Curry and the CEO of that group, and 53 00:02:44,000 --> 00:02:45,919 Speaker 1: it does seem that that investment is going to pay 54 00:02:45,919 --> 00:02:49,320 Speaker 1: off as the market continues to spend on enterprise. Of course, 55 00:02:49,600 --> 00:02:51,680 Speaker 1: we know that in many ways this is a company 56 00:02:51,680 --> 00:02:54,280 Speaker 1: that's backed off from some other bets, in large part 57 00:02:54,320 --> 00:02:56,360 Speaker 1: because they've got to double down on where is profitable 58 00:02:56,400 --> 00:02:58,400 Speaker 1: for them at the moment we've poured out. The CFO 59 00:02:58,560 --> 00:03:00,880 Speaker 1: of Alphabet was speaking with her own end Ludlow a 60 00:03:00,919 --> 00:03:03,240 Speaker 1: bit earlier, and she was saying in terms of YouTube 61 00:03:03,320 --> 00:03:05,480 Speaker 1: for example, I would say the largest driver of the 62 00:03:05,520 --> 00:03:09,919 Speaker 1: deceleration was a further pullback and spent from some advertisers 63 00:03:10,040 --> 00:03:14,480 Speaker 1: that was a cross brand and direct response talk to 64 00:03:14,560 --> 00:03:17,560 Speaker 1: us about whether or not this is going to be 65 00:03:17,600 --> 00:03:20,160 Speaker 1: there for what we read into meta you were just 66 00:03:20,200 --> 00:03:22,280 Speaker 1: saying about the impact. We heard it from Snap the 67 00:03:22,280 --> 00:03:25,720 Speaker 1: Warriors about the market marketing budgets getting that little bit smaller. 68 00:03:25,880 --> 00:03:28,360 Speaker 1: Is there anywhere in terms of reinvestment, in terms of 69 00:03:28,400 --> 00:03:30,799 Speaker 1: doubling down YouTube shorts and they're like that you want 70 00:03:30,800 --> 00:03:33,280 Speaker 1: to see to prove that still YouTube is where you 71 00:03:33,320 --> 00:03:35,920 Speaker 1: have to be for eyeballs. Yeah, I think they need 72 00:03:35,960 --> 00:03:39,760 Speaker 1: to stay the course on their strategy. The macroeconomic conditions 73 00:03:39,800 --> 00:03:42,800 Speaker 1: are in this moment what they are, and the Google 74 00:03:42,840 --> 00:03:46,119 Speaker 1: does have the best product. They are diversifying, they are innovating. 75 00:03:46,160 --> 00:03:49,000 Speaker 1: The YouTube short product is interesting, and of course TikTok 76 00:03:49,040 --> 00:03:51,280 Speaker 1: has the most acceleration and that's what YouTube is trying 77 00:03:51,320 --> 00:03:53,600 Speaker 1: to do to answer to what TikTok has been able 78 00:03:53,680 --> 00:03:57,080 Speaker 1: to to do. You know, I watched IBMS earnings last 79 00:03:57,080 --> 00:03:58,880 Speaker 1: week in the strength of the enterprise, so kind of 80 00:03:58,920 --> 00:04:01,480 Speaker 1: on the other side of Google will with their cloud business. 81 00:04:01,520 --> 00:04:03,400 Speaker 1: I really think that investment is going to be even 82 00:04:03,480 --> 00:04:06,000 Speaker 1: more critical coming out of this pandemic. Companies are going 83 00:04:06,040 --> 00:04:08,560 Speaker 1: to have to adjust UH and the investment in cloud 84 00:04:08,600 --> 00:04:11,880 Speaker 1: an enterprise maybe the area that provides the biggest opportunity 85 00:04:11,880 --> 00:04:13,640 Speaker 1: going forward. And we also saw that with the top 86 00:04:13,680 --> 00:04:16,400 Speaker 1: and bottom line beat from Microsoft. So I think that's 87 00:04:16,400 --> 00:04:19,240 Speaker 1: an opportunity for Google, you said, Guy bausifually therefore, in 88 00:04:19,279 --> 00:04:22,480 Speaker 1: touch discussing Microsoft, which is being dragged in lower lower 89 00:04:22,480 --> 00:04:24,560 Speaker 1: and after I was training large part because of the 90 00:04:24,560 --> 00:04:26,520 Speaker 1: moon music coming out of Alphabet. But this was a 91 00:04:26,600 --> 00:04:28,400 Speaker 1: beat across the board. This is a company that's still 92 00:04:28,440 --> 00:04:30,680 Speaker 1: posting even though it's worth more than a trillion dollars 93 00:04:30,720 --> 00:04:34,159 Speaker 1: revenue growth of more than nine effects headwind s. But 94 00:04:34,240 --> 00:04:36,159 Speaker 1: where did you see some of the concerns in terms 95 00:04:36,200 --> 00:04:40,040 Speaker 1: of corporate spending any Well, it seemed that the biggest 96 00:04:40,040 --> 00:04:42,680 Speaker 1: concern and what sort of drove this stock down after 97 00:04:42,760 --> 00:04:45,359 Speaker 1: hours was more than it just didn't hit its azure number. 98 00:04:45,560 --> 00:04:48,920 Speaker 1: The mark looking for closer. I think it came out 99 00:04:48,960 --> 00:04:52,400 Speaker 1: at thirty five. Of course, just like Ruthport said at Google, 100 00:04:52,600 --> 00:04:55,359 Speaker 1: you know, FX was an issue across the board at Google. 101 00:04:55,360 --> 00:04:57,560 Speaker 1: But I actually like the fact that it was you know, 102 00:04:57,640 --> 00:05:00,839 Speaker 1: diverse that the company performed in most category is in productivity. 103 00:05:00,920 --> 00:05:04,120 Speaker 1: It performed in the intelligent cloud business, it performed pretty well, 104 00:05:04,200 --> 00:05:07,000 Speaker 1: and even in personal computing. In on the consumer side 105 00:05:07,000 --> 00:05:09,120 Speaker 1: with surface and gaming, an area that a lot of 106 00:05:09,120 --> 00:05:11,440 Speaker 1: people were concerned, it came in at where it was 107 00:05:11,520 --> 00:05:15,839 Speaker 1: expected to Caroline, So I actually didn't feel as negatively 108 00:05:15,880 --> 00:05:20,200 Speaker 1: about the quarter. I meant growth. It's still above you know, 109 00:05:20,240 --> 00:05:21,800 Speaker 1: the fold that grew a little bit faster than the 110 00:05:21,800 --> 00:05:24,479 Speaker 1: Google Cloud business, and it's still indicative to me the 111 00:05:24,600 --> 00:05:26,800 Speaker 1: enterprise is stronger. That's why I alluded to that IBM 112 00:05:26,839 --> 00:05:29,120 Speaker 1: result last week. I think that surprised a lot of people, 113 00:05:29,200 --> 00:05:33,720 Speaker 1: but enterprise seems to be where spending will continue. Advertising 114 00:05:33,720 --> 00:05:37,599 Speaker 1: seemed more compression, and of course consumer, I'm really concerned 115 00:05:37,600 --> 00:05:39,919 Speaker 1: about how some of the consumer tech focus brands are 116 00:05:39,960 --> 00:05:42,840 Speaker 1: going to turn out this quarter. Well said, I want 117 00:05:42,839 --> 00:05:44,840 Speaker 1: to double down on what sat In Adela was saying. 118 00:05:45,000 --> 00:05:47,000 Speaker 1: Of course, we await what's being sent in the cools, 119 00:05:47,040 --> 00:05:49,360 Speaker 1: but he on in the press release of the earnings, 120 00:05:49,400 --> 00:05:53,600 Speaker 1: was talking about the world facing increasing headwinds and digital technology. 121 00:05:53,640 --> 00:05:59,080 Speaker 1: We made the ultimate tailwind, basically the argument that it's defrationary. 122 00:05:59,240 --> 00:06:01,359 Speaker 1: Do you buy that. Have we not just brought forward 123 00:06:01,440 --> 00:06:04,280 Speaker 1: all of that spending during covid ors There's still more 124 00:06:04,520 --> 00:06:07,800 Speaker 1: to come. Yes, Satia is really saying the same thing. 125 00:06:07,839 --> 00:06:09,760 Speaker 1: And I've had a few other conversations. I had one 126 00:06:09,800 --> 00:06:11,760 Speaker 1: with Harvin Krishna. I had one with Bill McDermott a 127 00:06:11,760 --> 00:06:14,360 Speaker 1: Servant and Service Now, and both of them have used that, 128 00:06:14,440 --> 00:06:17,159 Speaker 1: and I've actually really found that to be the case. 129 00:06:17,400 --> 00:06:21,080 Speaker 1: Companies during this pandemic that had to spend rapidly to 130 00:06:21,120 --> 00:06:23,599 Speaker 1: support their growth did a lot of hiring, added a 131 00:06:23,600 --> 00:06:26,120 Speaker 1: lot of short term costs, and as long as the 132 00:06:26,120 --> 00:06:28,280 Speaker 1: growth was there, they didn't necessarily need to fix that. 133 00:06:28,600 --> 00:06:30,960 Speaker 1: Now that we're seeing the market compress a little bit 134 00:06:31,000 --> 00:06:34,359 Speaker 1: the economy slow, some of those digital transformation investments and 135 00:06:34,360 --> 00:06:37,000 Speaker 1: things like automation and AI they need to be fully 136 00:06:37,080 --> 00:06:40,040 Speaker 1: implemented so that some of those costs, those hiring freezes, 137 00:06:40,080 --> 00:06:43,920 Speaker 1: and those pullbacks are able to not slow customer experience 138 00:06:43,960 --> 00:06:47,039 Speaker 1: and product delivery. So I think those digital investments are 139 00:06:47,080 --> 00:06:49,240 Speaker 1: going to be much more robust. But I do think 140 00:06:49,279 --> 00:06:51,680 Speaker 1: starting to see some of those hiring freezes, those layoffs, 141 00:06:51,680 --> 00:06:54,000 Speaker 1: some of the slowing revenue and of course margin compression 142 00:06:54,000 --> 00:06:56,560 Speaker 1: in the near term are going to be the continued 143 00:06:56,600 --> 00:06:58,640 Speaker 1: concern for tech. But long term, it's hard to not 144 00:06:58,760 --> 00:07:01,320 Speaker 1: think that Mike or Soft and companies like them are 145 00:07:01,320 --> 00:07:04,520 Speaker 1: gonna be solving a lot of these problems for enterprises. Okay, Daniel. 146 00:07:04,560 --> 00:07:06,440 Speaker 1: So therefore, when we look ahead to Amazon, is that 147 00:07:06,520 --> 00:07:08,839 Speaker 1: going to be a fixer for this quarture? In particular, 148 00:07:08,920 --> 00:07:10,480 Speaker 1: when we're looking at a metro, is that going to 149 00:07:10,560 --> 00:07:14,120 Speaker 1: be a hit because of the advertising spend where line 150 00:07:14,160 --> 00:07:17,239 Speaker 1: not who you're most concerned about, who your least concerned 151 00:07:17,240 --> 00:07:21,800 Speaker 1: about for us, Yeah, I'm quite concerned about meta. It 152 00:07:21,800 --> 00:07:23,680 Speaker 1: would It's hard to think with the big dollars being 153 00:07:23,680 --> 00:07:26,880 Speaker 1: invested in their metaverse, people were already sort of nervous 154 00:07:26,920 --> 00:07:31,120 Speaker 1: about that. You see Google and alphabets advertising dollars, you know, 155 00:07:31,200 --> 00:07:32,920 Speaker 1: going a little bit the wrong way in terms of 156 00:07:32,920 --> 00:07:34,680 Speaker 1: the markets perception, and like I said, I think they're 157 00:07:34,720 --> 00:07:37,240 Speaker 1: the top of the heap for advertising. Last to be 158 00:07:37,280 --> 00:07:40,160 Speaker 1: cut out. Apple is gonna be really interesting to watch 159 00:07:40,760 --> 00:07:44,640 Speaker 1: because Apple it tends to have that consumer quality that 160 00:07:44,640 --> 00:07:47,600 Speaker 1: that bucks some of the consumer trends in terms of 161 00:07:47,720 --> 00:07:50,360 Speaker 1: people of higher affluence continue to buy even when the 162 00:07:50,360 --> 00:07:53,800 Speaker 1: market gets tougher, but their iPhone fourteen specs. For some 163 00:07:53,840 --> 00:07:56,160 Speaker 1: of the numbers are a bit worrying. Two people, I 164 00:07:56,200 --> 00:07:58,400 Speaker 1: really want to see the a WUS cloud number. That's 165 00:07:58,400 --> 00:08:02,200 Speaker 1: such a huge number. Four. Amazon's opping and despite e 166 00:08:02,280 --> 00:08:04,559 Speaker 1: commerce and the holiday and some of these prime days, 167 00:08:04,720 --> 00:08:06,720 Speaker 1: you know, Amazon has had a tough couple of quarters. 168 00:08:07,000 --> 00:08:09,240 Speaker 1: I still believe that they're building a bigger and bigger 169 00:08:09,320 --> 00:08:11,360 Speaker 1: moat for e commerce. So in the long run, it's 170 00:08:11,360 --> 00:08:13,560 Speaker 1: hard to not like them. But a WS has been 171 00:08:13,640 --> 00:08:16,960 Speaker 1: so instrumental, and that is the biggest cloud provider. And 172 00:08:17,000 --> 00:08:19,640 Speaker 1: if my enterprise thesis is true, Caroline, then aw S 173 00:08:19,640 --> 00:08:21,640 Speaker 1: should at least be seeing the same kind of growth 174 00:08:21,640 --> 00:08:25,440 Speaker 1: that Asure did. Really smart conversation with you, as always, Daniel, 175 00:08:25,480 --> 00:08:28,000 Speaker 1: thank you so much for pointing us forwards. Daniel Newman 176 00:08:28,120 --> 00:08:38,960 Speaker 1: here of course put Sweet Media Group CEO as such 177 00:08:39,040 --> 00:08:41,840 Speaker 1: in a dalla in Microsoft's sup press release just now 178 00:08:41,880 --> 00:08:46,160 Speaker 1: says it is a world facing increasing headwinds. Recessionals. For example, 179 00:08:46,160 --> 00:08:48,440 Speaker 1: they remain top of mind for investors this earning season, 180 00:08:48,920 --> 00:08:52,080 Speaker 1: and a recently bo economics model projects the likelihood of 181 00:08:52,080 --> 00:08:56,079 Speaker 1: a US recession is now and then the next twelve months. 182 00:08:56,280 --> 00:08:59,560 Speaker 1: So let's put all of these earnings and valuations into 183 00:08:59,559 --> 00:09:02,160 Speaker 1: contact because so far, as head of Invested strateg Sheet, 184 00:09:02,200 --> 00:09:04,160 Speaker 1: li Is Young is with us some place to say, 185 00:09:04,240 --> 00:09:06,600 Speaker 1: and as we get the micro data with the earnings 186 00:09:06,600 --> 00:09:09,120 Speaker 1: and whether their meats or their beats, ultimately in the 187 00:09:09,160 --> 00:09:11,080 Speaker 1: back of our mind is what are the valuations of 188 00:09:11,120 --> 00:09:14,480 Speaker 1: these businesses and do they reflect these headwinds that they're 189 00:09:14,520 --> 00:09:16,240 Speaker 1: being hit by. What do you make of the way 190 00:09:16,240 --> 00:09:20,000 Speaker 1: in which you've line ourselves up for earning season. Well, look, 191 00:09:20,040 --> 00:09:21,920 Speaker 1: I think we're sitting at a point in the year 192 00:09:21,920 --> 00:09:24,320 Speaker 1: where we've done a lot of work and valuations have 193 00:09:24,400 --> 00:09:27,600 Speaker 1: seen a decent amount of pain since January, and I 194 00:09:27,600 --> 00:09:30,679 Speaker 1: think it's less about what's the right valuation for these 195 00:09:30,720 --> 00:09:32,679 Speaker 1: stocks to be at, and it's more about what are 196 00:09:32,720 --> 00:09:35,640 Speaker 1: people actually willing to pay for them. Knowing that we 197 00:09:35,720 --> 00:09:38,559 Speaker 1: have not solved all the problems that still lie ahead, 198 00:09:38,880 --> 00:09:41,760 Speaker 1: and knowing that we still have a pretty uncertainty of 199 00:09:41,800 --> 00:09:45,360 Speaker 1: political backdrop, we're coming up on mid term elections, We've 200 00:09:45,400 --> 00:09:48,079 Speaker 1: got all the classic kind of market signals that are 201 00:09:48,080 --> 00:09:51,120 Speaker 1: saying a recession might be coming, those are all going off, 202 00:09:51,480 --> 00:09:54,280 Speaker 1: So there is still a decent amount of uncertainty ahead. 203 00:09:54,400 --> 00:09:57,720 Speaker 1: Not to mention that just the month of October. Despite 204 00:09:57,720 --> 00:10:01,320 Speaker 1: this rally, we've seen more almost half of the days 205 00:10:01,400 --> 00:10:04,280 Speaker 1: with a more than two percent swing in the SMP 206 00:10:04,320 --> 00:10:06,360 Speaker 1: five hundred. That is a lot of volatility, and a 207 00:10:06,440 --> 00:10:09,400 Speaker 1: VIX that's still hovering around thirty also indicates to me 208 00:10:09,440 --> 00:10:11,240 Speaker 1: that the next few weeks are going to be bumpy. 209 00:10:11,400 --> 00:10:14,400 Speaker 1: And what's wild is a volatility in the salt market 210 00:10:14,600 --> 00:10:17,120 Speaker 1: is basically nothing in comparis into the volatility if you've 211 00:10:17,120 --> 00:10:19,440 Speaker 1: seen in the bond market, in the FX market. And 212 00:10:19,480 --> 00:10:22,760 Speaker 1: I'm interested in these correlations because, for example, today's trade, 213 00:10:22,840 --> 00:10:26,600 Speaker 1: we saw stocks rally and tech do well because bond 214 00:10:26,640 --> 00:10:29,040 Speaker 1: markets rallied and niels pushed lower. Is that the sort 215 00:10:29,040 --> 00:10:32,400 Speaker 1: of correlation we're likely to keep on seeing. Well on 216 00:10:32,440 --> 00:10:34,360 Speaker 1: a day like today, I think it was very much 217 00:10:34,360 --> 00:10:37,640 Speaker 1: a rate story. So we got some housing data earlier 218 00:10:37,720 --> 00:10:39,920 Speaker 1: in the morning, about nine am Eastern time, and if 219 00:10:39,960 --> 00:10:42,360 Speaker 1: you just look at the tape and how things moved 220 00:10:42,360 --> 00:10:45,520 Speaker 1: throughout the day, that nine am release of home prices 221 00:10:45,559 --> 00:10:49,000 Speaker 1: coming down pretty sharply is what I think sent ten 222 00:10:49,080 --> 00:10:51,920 Speaker 1: year yields down, It sent two year yields down, and 223 00:10:51,960 --> 00:10:54,640 Speaker 1: everybody got sort of excited that, oh it's working. Inflation 224 00:10:54,679 --> 00:10:57,120 Speaker 1: is going to go away, and then stocks rallied on 225 00:10:57,160 --> 00:10:59,280 Speaker 1: the other side of that also, though you want to 226 00:10:59,280 --> 00:11:02,199 Speaker 1: look at the fact not just tech rallied, but high 227 00:11:02,240 --> 00:11:05,679 Speaker 1: beta stocks rallied, And that's not necessarily something that I 228 00:11:05,679 --> 00:11:08,680 Speaker 1: would expect to be lasting in an environment where we have, 229 00:11:08,880 --> 00:11:11,240 Speaker 1: in my opinion, more than a fifty chance of a 230 00:11:11,240 --> 00:11:14,240 Speaker 1: recession in the next six to twelve months. So it 231 00:11:14,320 --> 00:11:16,559 Speaker 1: really was a very risk on trade. It was sort 232 00:11:16,600 --> 00:11:19,000 Speaker 1: of this, Oh, it's a big relief. We might get 233 00:11:19,480 --> 00:11:21,959 Speaker 1: a solved on the inflation problem. It might be sooner 234 00:11:21,960 --> 00:11:24,600 Speaker 1: than we think. But the issue is that once that 235 00:11:24,720 --> 00:11:28,280 Speaker 1: boulder starts rolling down the hill, it's really difficult to 236 00:11:28,360 --> 00:11:31,160 Speaker 1: stop it at a certain point and not go into 237 00:11:31,160 --> 00:11:34,880 Speaker 1: contraction territory. To that end, of course, with basically all 238 00:11:34,920 --> 00:11:37,560 Speaker 1: the market moves kind of being dictated by bad news 239 00:11:37,600 --> 00:11:40,920 Speaker 1: being good news, the Federal Reserve perhaps not hiking quite 240 00:11:40,920 --> 00:11:43,320 Speaker 1: so much as we had expected. How much of a 241 00:11:43,400 --> 00:11:45,120 Speaker 1: dollar story is this all going to be? Are we 242 00:11:45,200 --> 00:11:47,600 Speaker 1: likely to see? Are we now at pink dollar? This 243 00:11:47,679 --> 00:11:50,040 Speaker 1: is hugely important to a lot of the micro stories. 244 00:11:50,080 --> 00:11:52,720 Speaker 1: For example, a Microsoft that had highlighted the head winds 245 00:11:52,760 --> 00:11:56,120 Speaker 1: of a strong dollar. Yeah, I mean, look we've thought 246 00:11:56,120 --> 00:11:58,160 Speaker 1: that we were at peak dollar, and when I say we, 247 00:11:58,280 --> 00:12:00,480 Speaker 1: I mean just investors at large. Think there have been 248 00:12:00,520 --> 00:12:02,240 Speaker 1: a lot of people who thought were at peak dollar 249 00:12:02,360 --> 00:12:05,040 Speaker 1: earlier this year, So I don't know if this is 250 00:12:05,080 --> 00:12:08,480 Speaker 1: peak or not. Regardless, even if it is technically peak, 251 00:12:08,559 --> 00:12:10,360 Speaker 1: that doesn't mean that it's going to come down with 252 00:12:10,400 --> 00:12:14,480 Speaker 1: a quickness. So a strong dollar in general, as we know, 253 00:12:14,720 --> 00:12:16,840 Speaker 1: is a headwind not only to trade, but it's a 254 00:12:16,840 --> 00:12:20,000 Speaker 1: headwind to those large cap corporations that have a lot 255 00:12:20,040 --> 00:12:23,520 Speaker 1: of international revenue. And those big companies are the ones 256 00:12:23,559 --> 00:12:26,200 Speaker 1: that have been the market story. And if you're a 257 00:12:26,200 --> 00:12:29,160 Speaker 1: newer investor, those are also the companies that have really 258 00:12:29,160 --> 00:12:31,719 Speaker 1: been the winners for you in the portfolio. So it's 259 00:12:31,760 --> 00:12:34,320 Speaker 1: difficult to kind of shift your mindset. But I would 260 00:12:34,360 --> 00:12:37,840 Speaker 1: encourage people that even in an environment like this, you 261 00:12:37,920 --> 00:12:40,800 Speaker 1: have to think about maybe where the opportunities are, and 262 00:12:40,840 --> 00:12:43,439 Speaker 1: they could be in places that you wouldn't normally look. 263 00:12:43,720 --> 00:12:46,760 Speaker 1: So a strong dollar is actually very good for smaller 264 00:12:46,800 --> 00:12:49,800 Speaker 1: cap companies because they get a majority of their revenue 265 00:12:49,840 --> 00:12:52,800 Speaker 1: from inside US borders, so they don't have that headwind. 266 00:12:53,080 --> 00:12:55,199 Speaker 1: So looking at things like that, the last thing I'll 267 00:12:55,200 --> 00:12:58,080 Speaker 1: say about a strong dollar. Is that from a macro perspective, 268 00:12:58,400 --> 00:13:00,640 Speaker 1: the signal that you want to see is that when 269 00:13:00,720 --> 00:13:04,360 Speaker 1: the dollar weakens, that tends to mean that we're nearing 270 00:13:04,400 --> 00:13:07,199 Speaker 1: the end of a tightening cycle or nearing the end 271 00:13:07,200 --> 00:13:09,599 Speaker 1: of a hiking cycle. The fact that the dollar is 272 00:13:09,640 --> 00:13:11,920 Speaker 1: still pretty strong here, I think means that the Fed 273 00:13:12,200 --> 00:13:14,960 Speaker 1: continues to hike and they right now don't have a 274 00:13:15,000 --> 00:13:17,360 Speaker 1: ton of reason not to, particularly with such a strong 275 00:13:17,440 --> 00:13:20,240 Speaker 1: labor market as we've seen time and time again. And 276 00:13:20,280 --> 00:13:23,839 Speaker 1: what's been interesting is on an anecdotal basis, you hear 277 00:13:23,880 --> 00:13:27,320 Speaker 1: of startups and actually some big tech listed companies dialing 278 00:13:27,320 --> 00:13:30,400 Speaker 1: back their head count looking to actually just slow hiring 279 00:13:30,480 --> 00:13:34,559 Speaker 1: or indeed fire. Are you likely to hear you anticipating 280 00:13:34,640 --> 00:13:38,920 Speaker 1: more concerns being voiced by CEOs as we're in earning season, 281 00:13:38,960 --> 00:13:41,480 Speaker 1: because I'm not hearing it particularly from Satya Adela or 282 00:13:41,520 --> 00:13:45,000 Speaker 1: from well Ruth poor At or or soon Pitch. I. 283 00:13:46,360 --> 00:13:49,319 Speaker 1: So if we look at the labor market just in particular, 284 00:13:49,400 --> 00:13:51,560 Speaker 1: I would expect to see some weakness in it and 285 00:13:51,600 --> 00:13:54,200 Speaker 1: see that coming through in the data closer to the 286 00:13:54,320 --> 00:13:56,200 Speaker 1: end of the year. So the labor market is one 287 00:13:56,240 --> 00:13:58,600 Speaker 1: of the last things if not the last thing to 288 00:13:58,760 --> 00:14:02,040 Speaker 1: turn when you have an economic contraction or a slowdown. 289 00:14:02,280 --> 00:14:04,719 Speaker 1: And if you just think about that logically, there's a 290 00:14:04,760 --> 00:14:06,560 Speaker 1: reason we're not hearing about it from c e O 291 00:14:06,600 --> 00:14:09,040 Speaker 1: S because they will do everything else they can to 292 00:14:09,200 --> 00:14:12,280 Speaker 1: control costs before they have to actually lay people off 293 00:14:12,320 --> 00:14:14,840 Speaker 1: and cut jobs. So what we're hearing right now is 294 00:14:14,840 --> 00:14:17,880 Speaker 1: a lot of hiring freezes and that's coming through in 295 00:14:17,880 --> 00:14:19,920 Speaker 1: the data. So if you just look at the job 296 00:14:20,000 --> 00:14:22,920 Speaker 1: openings or the JOLTS number that we got for August, 297 00:14:23,160 --> 00:14:25,880 Speaker 1: job openings came down by one point one million. That 298 00:14:25,960 --> 00:14:29,400 Speaker 1: was a huge drop. So now the ratio of the 299 00:14:29,520 --> 00:14:33,880 Speaker 1: number of jobs open per unemployed worker is one point seven. 300 00:14:34,040 --> 00:14:36,040 Speaker 1: That's down from two. We used to have two jobs 301 00:14:36,040 --> 00:14:39,560 Speaker 1: for every unemployed person. Pre pandemic, that number was one 302 00:14:39,600 --> 00:14:42,200 Speaker 1: point two. So that's still that gap still has to 303 00:14:42,320 --> 00:14:45,440 Speaker 1: narrow a bit. The risk is that that gap narrows 304 00:14:45,720 --> 00:14:48,240 Speaker 1: and then we're in this kind of comfortable supply demand 305 00:14:48,280 --> 00:14:52,360 Speaker 1: place with labor. That's when if we haven't slowed the bleeding, 306 00:14:52,680 --> 00:14:54,360 Speaker 1: that's when you start to hear about layoff. So we 307 00:14:54,400 --> 00:14:57,280 Speaker 1: still have some time between now and I think that point, 308 00:14:57,440 --> 00:14:59,400 Speaker 1: but I do expect it to start coming through in 309 00:14:59,440 --> 00:15:01,880 Speaker 1: the in the labor data, see some weakness by the 310 00:15:01,960 --> 00:15:05,000 Speaker 1: end of this year. Ultimately, at this moment, is with 311 00:15:05,160 --> 00:15:09,360 Speaker 1: so much you talking about recession, people thinking, since she's high, 312 00:15:09,360 --> 00:15:12,320 Speaker 1: with a lot of lack of clarity, is it time 313 00:15:12,320 --> 00:15:14,520 Speaker 1: to put all that cash that people have been taking 314 00:15:14,520 --> 00:15:16,520 Speaker 1: out of stocks putting it into cash? Is time to 315 00:15:16,720 --> 00:15:21,000 Speaker 1: reinvest or keep powder driving? Now you can think about 316 00:15:21,040 --> 00:15:23,800 Speaker 1: reinvesting it and and look, nobody's going to call the 317 00:15:23,840 --> 00:15:26,080 Speaker 1: bottom perfectly, and if they do, it's going to be lucky. 318 00:15:26,240 --> 00:15:29,200 Speaker 1: So let's just all stop trying. Right But if you 319 00:15:29,240 --> 00:15:31,240 Speaker 1: think about just where we are, you're to date with 320 00:15:31,280 --> 00:15:35,680 Speaker 1: an SMP still down twenty or so year to date, 321 00:15:36,000 --> 00:15:38,440 Speaker 1: that's a better entry point than it was in January. 322 00:15:38,520 --> 00:15:41,120 Speaker 1: So I would start to get ready on what's the 323 00:15:41,120 --> 00:15:43,800 Speaker 1: shopping list? What are the sectors and the industry groups 324 00:15:43,800 --> 00:15:47,160 Speaker 1: that you would be interested in buying and drip in slowly. 325 00:15:47,280 --> 00:15:50,360 Speaker 1: So in this particular moment right now, I would be 326 00:15:50,400 --> 00:15:54,080 Speaker 1: looking at financials because they're still very attractively priced compared 327 00:15:54,120 --> 00:15:57,240 Speaker 1: to many other sectors, and they don't have a ton 328 00:15:57,280 --> 00:15:59,600 Speaker 1: of pain ahead. In my opinion, I think they've been 329 00:15:59,640 --> 00:16:02,360 Speaker 1: pretty punished through this cycle, and I think they can 330 00:16:02,360 --> 00:16:04,200 Speaker 1: come out well. On the other side, I'll be looking 331 00:16:04,240 --> 00:16:07,120 Speaker 1: at industrials and I've been talking about healthcare for a 332 00:16:07,200 --> 00:16:09,640 Speaker 1: very long time. I think that healthcare is a great 333 00:16:09,680 --> 00:16:12,280 Speaker 1: long term investment. And then a little bit further down 334 00:16:12,280 --> 00:16:14,600 Speaker 1: and look, I think this rally is fragile, so I 335 00:16:14,600 --> 00:16:17,280 Speaker 1: would expect another correction on the other side of it. 336 00:16:17,680 --> 00:16:19,920 Speaker 1: If and when that happens and you see an SMP 337 00:16:20,040 --> 00:16:22,920 Speaker 1: get back down to previous levels, so let's say something 338 00:16:22,960 --> 00:16:26,720 Speaker 1: like thirty or below, that's when you start to nibble 339 00:16:26,800 --> 00:16:30,480 Speaker 1: on riskier things. You start to look at semiconductors, you 340 00:16:30,480 --> 00:16:33,200 Speaker 1: start to look at tech again, and you start to 341 00:16:33,240 --> 00:16:36,440 Speaker 1: look at other things that might be a little bit 342 00:16:36,480 --> 00:16:39,520 Speaker 1: more high beata. And then later even after that, when 343 00:16:39,560 --> 00:16:42,320 Speaker 1: the economy really confirms that it's weakened, so when the 344 00:16:42,400 --> 00:16:45,560 Speaker 1: labor market starts to fall apart, that's when you start 345 00:16:45,600 --> 00:16:48,120 Speaker 1: to look at things like home builders and you get 346 00:16:48,160 --> 00:16:50,560 Speaker 1: back in on that train. You look at small caps 347 00:16:50,600 --> 00:16:52,680 Speaker 1: in that environment as well. Well. We've got a great 348 00:16:52,720 --> 00:16:55,440 Speaker 1: conversation to common terms of fuel, exposure to the real 349 00:16:55,560 --> 00:17:00,000 Speaker 1: estate market always so small at Helping Dovetail, you'll conversation 350 00:17:00,320 --> 00:17:02,520 Speaker 1: with our audience who was so interested in tech. We 351 00:17:02,560 --> 00:17:04,680 Speaker 1: thank you, Lizzie young A so far of course, head 352 00:17:04,680 --> 00:17:08,560 Speaker 1: of investment strategy there. Meanwhile, coming up, Amazon expands payment 353 00:17:08,640 --> 00:17:11,520 Speaker 1: options including Venmo at last ahead of the holiday season 354 00:17:11,760 --> 00:17:26,520 Speaker 1: or discuss the strategy, the expectations visi Blue meg off earnings. 355 00:17:26,560 --> 00:17:29,399 Speaker 1: There was another key story that occurred today, Amazon adding 356 00:17:29,480 --> 00:17:31,960 Speaker 1: Venmo at last as a new payment option for customers, 357 00:17:32,160 --> 00:17:34,160 Speaker 1: of course, all ahead of Black Friday and the key 358 00:17:34,200 --> 00:17:37,639 Speaker 1: holiday season when we expensive Sofa is actually here in 359 00:17:37,680 --> 00:17:39,840 Speaker 1: New York and of course he covers Amazon for us. 360 00:17:39,840 --> 00:17:42,640 Speaker 1: You know that. Wonderful to have you in the same 361 00:17:42,640 --> 00:17:45,840 Speaker 1: studio spends to talk to us about. Finally, this has 362 00:17:45,840 --> 00:17:48,600 Speaker 1: been in the works for what like a year already. Yeah, 363 00:17:48,600 --> 00:17:51,440 Speaker 1: the Venmo Amazon tie up has been in the works 364 00:17:51,480 --> 00:17:54,680 Speaker 1: for for quite some time. And then Venmo in particular 365 00:17:54,760 --> 00:17:57,720 Speaker 1: PayPal has really wanted to move this, you know, a 366 00:17:57,840 --> 00:18:01,080 Speaker 1: peer to peer payment system thing like Okay, we bought 367 00:18:01,080 --> 00:18:03,679 Speaker 1: a pizza and you're gonna vend me ten dollars to 368 00:18:03,800 --> 00:18:07,040 Speaker 1: get that beyond simply people splitting the cost of bills 369 00:18:07,040 --> 00:18:09,160 Speaker 1: and things into something that they can actually make money 370 00:18:09,160 --> 00:18:13,120 Speaker 1: off of, which would be you know, commerce buying things. So, yeah, 371 00:18:13,200 --> 00:18:15,680 Speaker 1: this is a this is a very big deal for 372 00:18:15,680 --> 00:18:18,160 Speaker 1: for PayPal and Venmo in terms of trying to nudge 373 00:18:18,200 --> 00:18:20,080 Speaker 1: that along. It's something they've been working on a long time. 374 00:18:20,480 --> 00:18:22,880 Speaker 1: Right now. You maybe see it, you know, for uh 375 00:18:23,040 --> 00:18:25,440 Speaker 1: used by a patron at like a nail salon or 376 00:18:25,520 --> 00:18:27,800 Speaker 1: some other small business like a landscape, or you're not 377 00:18:27,880 --> 00:18:30,760 Speaker 1: really seeing it used you know, to buy from big retailers. 378 00:18:30,800 --> 00:18:32,920 Speaker 1: So this could be a big, big symbol to sends 379 00:18:32,920 --> 00:18:35,320 Speaker 1: a message Amazon is willing to do it, why why 380 00:18:35,320 --> 00:18:37,920 Speaker 1: not you? And then Amazon has an incentive to try 381 00:18:37,920 --> 00:18:41,080 Speaker 1: to uh you know, lower the cost of accepting any 382 00:18:41,119 --> 00:18:42,920 Speaker 1: kind of payment at all. So it just gives them 383 00:18:42,960 --> 00:18:45,920 Speaker 1: potential negotiating power if this were to take off, especially 384 00:18:45,920 --> 00:18:48,359 Speaker 1: take off with millennials when they're negotiating rates with the 385 00:18:48,359 --> 00:18:50,480 Speaker 1: big cards, you know, on how much of each transaction 386 00:18:50,520 --> 00:18:52,560 Speaker 1: they share with them. We know, we remember that sounds 387 00:18:52,560 --> 00:18:54,280 Speaker 1: still that they had over in the UK with Visa 388 00:18:54,320 --> 00:18:57,240 Speaker 1: for example. I'm interested in, well, therefore, ahead of the 389 00:18:57,240 --> 00:19:01,040 Speaker 1: holiday season, how many people do they think will actually 390 00:19:01,080 --> 00:19:03,399 Speaker 1: be using this versus by now pay later that they 391 00:19:03,480 --> 00:19:05,280 Speaker 1: have with the firm or just you know, in the 392 00:19:05,320 --> 00:19:08,040 Speaker 1: credit card that you have on top with them. Yeah, exactly. 393 00:19:08,080 --> 00:19:10,480 Speaker 1: I think that's still going to be Traditionally, the predominant 394 00:19:10,520 --> 00:19:12,800 Speaker 1: way that people pay is that the credit card that 395 00:19:12,800 --> 00:19:16,199 Speaker 1: they already have, and that's the problem here. Venmo has 396 00:19:16,240 --> 00:19:19,119 Speaker 1: a lot of incentive to make this work. Amazon has 397 00:19:19,160 --> 00:19:21,520 Speaker 1: a lot of incentive to make this work. Customers don't 398 00:19:21,560 --> 00:19:23,520 Speaker 1: really have much incentive to use it. So how are 399 00:19:23,520 --> 00:19:26,000 Speaker 1: they going to try to compel people to break those 400 00:19:26,040 --> 00:19:29,400 Speaker 1: habits and uh and and start using Venmo to pay 401 00:19:29,440 --> 00:19:32,159 Speaker 1: for things. There's been a real long game for Venmo. 402 00:19:32,440 --> 00:19:36,080 Speaker 1: They don't really disclose uh how much They've got billions 403 00:19:36,119 --> 00:19:39,040 Speaker 1: of dollars slashing slashing around in Venmo, but it's still 404 00:19:39,119 --> 00:19:41,800 Speaker 1: mostly things that they don't make money on and people 405 00:19:41,840 --> 00:19:44,000 Speaker 1: just paying back one another for these little nickel and 406 00:19:44,040 --> 00:19:46,720 Speaker 1: dime things. Um. So the question is will they get 407 00:19:46,800 --> 00:19:49,320 Speaker 1: people to use Venmo the way they use their credit cards. 408 00:19:49,600 --> 00:19:52,679 Speaker 1: We'll see what sort of incentives they give us. Thank you, Spencer, 409 00:19:52,760 --> 00:19:54,040 Speaker 1: so great to have him here, and he's gonna be 410 00:19:54,040 --> 00:19:55,920 Speaker 1: a busy guy because of course Amazon's got their numbers 411 00:19:55,960 --> 00:19:57,920 Speaker 1: coming out later in the week. We thank him for 412 00:19:57,960 --> 00:20:08,160 Speaker 1: spending some time with us. This is Bloomberg Technology. I'm 413 00:20:08,160 --> 00:20:10,600 Speaker 1: Caroline Hyde in New York. Let's talk to another New 414 00:20:10,680 --> 00:20:14,080 Speaker 1: York startup. Because built rewards and loyalty program and credit 415 00:20:14,080 --> 00:20:17,080 Speaker 1: card that converts rent payments into points, it's now saying 416 00:20:17,119 --> 00:20:21,040 Speaker 1: it's valuation more than quadrupled one five billion dollars. Left 417 00:20:21,119 --> 00:20:23,600 Speaker 1: Lane Capital led a hundred fifty million dollar equity funding 418 00:20:23,680 --> 00:20:25,800 Speaker 1: round for the startup. We want to know how they're 419 00:20:25,800 --> 00:20:28,160 Speaker 1: going to use the funds, the growth trajectory. Who better 420 00:20:28,200 --> 00:20:30,639 Speaker 1: than to talk through it all CEO and core Jane. 421 00:20:30,840 --> 00:20:33,240 Speaker 1: Great to have you here. Hey, it's going to be here, Caroline, 422 00:20:33,280 --> 00:20:36,000 Speaker 1: thanks for having me. So tell me what is the 423 00:20:36,000 --> 00:20:39,600 Speaker 1: growth jerectory? How can you penetrate yet further the market 424 00:20:39,640 --> 00:20:45,240 Speaker 1: and disrupt basically financial institutions. Today, more than ever, rent 425 00:20:45,240 --> 00:20:48,919 Speaker 1: prices continue to soar. And one of the things that 426 00:20:49,200 --> 00:20:52,040 Speaker 1: banks and I think startups have missed is you on 427 00:20:52,040 --> 00:20:55,560 Speaker 1: one hand, you have startups trying to cryptocurrencies to people, 428 00:20:55,960 --> 00:20:58,880 Speaker 1: and then banks still running a model from twenty years ago. 429 00:20:59,359 --> 00:21:01,439 Speaker 1: And we said, if you look at our generation, the 430 00:21:01,440 --> 00:21:04,680 Speaker 1: biggest expense people have is rent. Why don't you get 431 00:21:04,680 --> 00:21:07,720 Speaker 1: anything back for that? Right? Why can't I build my 432 00:21:07,760 --> 00:21:10,240 Speaker 1: credit history just by paying my rent on time? Or 433 00:21:10,280 --> 00:21:12,480 Speaker 1: why can't I earn points and miles to travel the 434 00:21:12,480 --> 00:21:15,800 Speaker 1: world by paying rent? And so you know, it took 435 00:21:15,880 --> 00:21:19,040 Speaker 1: us four years to bring together the real estate industry, 436 00:21:19,119 --> 00:21:22,600 Speaker 1: to bring together the payment networks, the banks, the airlines, 437 00:21:22,680 --> 00:21:25,520 Speaker 1: the hotels. But fourteen months ago when we launched this, 438 00:21:25,920 --> 00:21:28,880 Speaker 1: we weren't really sure how fast it would pick up. Right, 439 00:21:29,400 --> 00:21:31,400 Speaker 1: what's been crazy to see, is it? I mean less 440 00:21:31,400 --> 00:21:34,760 Speaker 1: than fourteen months, we've had over three billion dollars of 441 00:21:34,800 --> 00:21:37,520 Speaker 1: payments going through this just on the rent side, people 442 00:21:37,520 --> 00:21:39,399 Speaker 1: who have signed up for the built Master card or 443 00:21:39,440 --> 00:21:41,960 Speaker 1: so let's to pay rent at any apartment and earned 444 00:21:41,960 --> 00:21:44,760 Speaker 1: points as well as replace your kind of everyday card 445 00:21:45,480 --> 00:21:48,439 Speaker 1: that's seen over one point six billion dollars of spend already. 446 00:21:48,440 --> 00:21:51,520 Speaker 1: So you're seeing this massive uptake from a generation saying, 447 00:21:51,560 --> 00:21:54,639 Speaker 1: hold on a second rent is my biggest expense. You 448 00:21:54,640 --> 00:21:57,239 Speaker 1: can give me value there. I'll be loyal to you 449 00:21:57,440 --> 00:22:00,119 Speaker 1: across all of my other spend categories. And by the way, 450 00:22:00,119 --> 00:22:02,280 Speaker 1: if you can help me build a path to homeownership, 451 00:22:03,040 --> 00:22:04,840 Speaker 1: that's really how you lock me in. And so it 452 00:22:04,880 --> 00:22:07,080 Speaker 1: talk to me about that path to home ownership because 453 00:22:07,119 --> 00:22:09,800 Speaker 1: it's about building up your credit quantity. But how else. 454 00:22:10,280 --> 00:22:12,879 Speaker 1: So look, one of the challenges with home ownership and 455 00:22:12,960 --> 00:22:17,000 Speaker 1: I just bought my first place here. It was so complicated, 456 00:22:17,040 --> 00:22:21,119 Speaker 1: and I consider myself a financially astute like individual. But 457 00:22:21,240 --> 00:22:23,119 Speaker 1: you look at that and saying I'm going to spend 458 00:22:23,359 --> 00:22:25,280 Speaker 1: X amount of months. Let's say you're New York rent 459 00:22:25,280 --> 00:22:26,879 Speaker 1: which by the way, the average New York rent is 460 00:22:26,880 --> 00:22:28,959 Speaker 1: almost six thousand dollars. Now do you know what I mean? 461 00:22:29,440 --> 00:22:33,280 Speaker 1: You think about that first goal? I thought, time you 462 00:22:33,320 --> 00:22:35,480 Speaker 1: start earning points and miles and your six thousand color 463 00:22:35,520 --> 00:22:37,760 Speaker 1: a month rent payment. But now you take that and 464 00:22:37,800 --> 00:22:39,640 Speaker 1: you say, well, how do I even know if it's 465 00:22:39,680 --> 00:22:42,320 Speaker 1: better to rent or own? How can I compare that? 466 00:22:42,400 --> 00:22:45,520 Speaker 1: And today nothing existed. And so we went out and 467 00:22:45,560 --> 00:22:48,120 Speaker 1: we actually partnered with Fannie Mae, Freddie Mack and fh 468 00:22:48,200 --> 00:22:50,479 Speaker 1: A and built the first tool where you can actually 469 00:22:50,480 --> 00:22:54,359 Speaker 1: see based on your credit profile, your income, real time 470 00:22:54,400 --> 00:22:57,280 Speaker 1: interest rates, say, here are the homes that you could 471 00:22:57,280 --> 00:23:00,399 Speaker 1: buy for the same monthly payment as your rent, and 472 00:23:00,440 --> 00:23:03,000 Speaker 1: you can compare apples apples and if you're ready to buy. 473 00:23:03,400 --> 00:23:06,720 Speaker 1: We also got regulatory approval to use your points to 474 00:23:06,800 --> 00:23:10,080 Speaker 1: cover your down payment. Huh, so that one life this morning. 475 00:23:10,080 --> 00:23:14,040 Speaker 1: By the way, congratulations, you're talking points, you're talking rewards, 476 00:23:14,080 --> 00:23:18,280 Speaker 1: you're talking gen Z millennials. I can only infer that 477 00:23:18,359 --> 00:23:22,400 Speaker 1: AMEX is what looking at you in particular? Who are 478 00:23:22,440 --> 00:23:24,320 Speaker 1: you in terms of income level? Who are you in 479 00:23:24,440 --> 00:23:27,000 Speaker 1: terms of demographic Who is coming to you? So the 480 00:23:27,119 --> 00:23:29,840 Speaker 1: vast majority of our card holders, in the vast majority 481 00:23:29,840 --> 00:23:33,399 Speaker 1: of our loyalty members are thirty five. Right. So if 482 00:23:33,440 --> 00:23:35,560 Speaker 1: you live in a high rise building in a major 483 00:23:35,640 --> 00:23:38,520 Speaker 1: city in New York, l A, San Francisco, Chicago, Denver, 484 00:23:39,000 --> 00:23:42,320 Speaker 1: chances are you're living in a built alliance property, which 485 00:23:42,359 --> 00:23:45,280 Speaker 1: means you're using built to pay your rent at all 486 00:23:45,320 --> 00:23:48,840 Speaker 1: of these buildings. Then you also have thirty five yearls 487 00:23:48,840 --> 00:23:51,640 Speaker 1: who live in other buildings or mom and pop landlords, 488 00:23:51,720 --> 00:23:53,760 Speaker 1: and they're signing up for the built Master card in 489 00:23:53,800 --> 00:23:56,119 Speaker 1: the wells Fargo and they're getting to earn points and 490 00:23:56,160 --> 00:23:59,640 Speaker 1: build their credit for no annual feed. Right. So when 491 00:23:59,800 --> 00:24:02,159 Speaker 1: you raising this money, is it about marketing? Is it 492 00:24:02,200 --> 00:24:05,199 Speaker 1: about doubling down country eating into market share? What are 493 00:24:05,200 --> 00:24:08,240 Speaker 1: the is about? Building partnerships? Is about hiring? Where do 494 00:24:08,240 --> 00:24:09,720 Speaker 1: you look at in terms of your to do list? 495 00:24:10,080 --> 00:24:11,960 Speaker 1: So one of the things that we spent a lot 496 00:24:12,000 --> 00:24:14,560 Speaker 1: of time with this business. A little different from our 497 00:24:14,560 --> 00:24:18,480 Speaker 1: peers in Silicon Valley is profitability. So Built is a 498 00:24:18,520 --> 00:24:21,359 Speaker 1: profitable business. So when we look to you know, grow 499 00:24:21,440 --> 00:24:23,600 Speaker 1: the business, we weren't actually looking to raise money. It 500 00:24:23,680 --> 00:24:26,160 Speaker 1: was an old friend of mine from Left Lane Capital 501 00:24:26,240 --> 00:24:29,120 Speaker 1: reached out and said, hey, there's an opportunity for us 502 00:24:29,119 --> 00:24:32,640 Speaker 1: to finish bringing together strategic partners into this business if 503 00:24:32,640 --> 00:24:35,199 Speaker 1: we do a large financing together. And so, led by 504 00:24:35,280 --> 00:24:37,679 Speaker 1: Left Lane, we went down and we brought partners like 505 00:24:37,720 --> 00:24:40,520 Speaker 1: Gray Star, who's the largest property management company in the country, 506 00:24:40,920 --> 00:24:44,160 Speaker 1: Invitation Homes, who is the largest single family rental company 507 00:24:44,280 --> 00:24:47,000 Speaker 1: in the country, and then even our banking partners like 508 00:24:47,040 --> 00:24:50,680 Speaker 1: Wells Fargo to double down and really build that defensible 509 00:24:50,760 --> 00:24:53,639 Speaker 1: mode around this business. Right, So is it about in 510 00:24:53,680 --> 00:24:57,360 Speaker 1: this landscape where look, valuations are coming down, people are 511 00:24:57,400 --> 00:25:00,320 Speaker 1: not just writing checks in quite the same liberal almana 512 00:25:00,359 --> 00:25:03,119 Speaker 1: than they were. Is this about strategic investors? Is this 513 00:25:03,200 --> 00:25:07,119 Speaker 1: about evaluation that was slightly lower than you anticipated? What 514 00:25:07,200 --> 00:25:09,800 Speaker 1: was it like? You know, I'm not one I don't 515 00:25:09,840 --> 00:25:13,119 Speaker 1: believe in playing the valuation game because inevitably that you know, 516 00:25:13,280 --> 00:25:15,639 Speaker 1: all all these things come to an end, right And 517 00:25:15,640 --> 00:25:17,520 Speaker 1: so even as we were doing this round, we actually 518 00:25:17,520 --> 00:25:21,080 Speaker 1: looked at fairly conservative publicly traded comps, which I know 519 00:25:21,200 --> 00:25:24,919 Speaker 1: is a heresy to stay in Silicon Valley. If you 520 00:25:24,960 --> 00:25:26,240 Speaker 1: think about a lot of the work we do on 521 00:25:26,240 --> 00:25:28,320 Speaker 1: a loyalty space, it's not that different than a payment 522 00:25:28,359 --> 00:25:31,080 Speaker 1: network like Master Carter Visa. And so we look at 523 00:25:31,080 --> 00:25:34,080 Speaker 1: if we're taking a piece of transactions, whether that's rent 524 00:25:34,440 --> 00:25:37,280 Speaker 1: or your dining right, and we can start to clip 525 00:25:37,320 --> 00:25:40,560 Speaker 1: that on all of your biggest expenses while rewarding the customers, 526 00:25:41,040 --> 00:25:43,639 Speaker 1: then that's not that different from the payment network. And 527 00:25:43,720 --> 00:25:47,000 Speaker 1: so that's how we really built the valuation. That's how 528 00:25:47,040 --> 00:25:50,320 Speaker 1: we built the business. And look, I think today entrepreneurs 529 00:25:50,359 --> 00:25:53,679 Speaker 1: should be focused number one on strategic capital. You know, 530 00:25:53,720 --> 00:25:55,880 Speaker 1: we were lucky to get that both from Left Lane 531 00:25:55,880 --> 00:25:58,359 Speaker 1: Capital but also from our real estate partners and our 532 00:25:58,359 --> 00:26:00,480 Speaker 1: banking partners who get to work with us on the 533 00:26:00,520 --> 00:26:03,159 Speaker 1: payment side and on the investment side. I'm looking at 534 00:26:03,160 --> 00:26:04,800 Speaker 1: a Visa, I can bring it up on the Bloomberg 535 00:26:04,840 --> 00:26:07,520 Speaker 1: and estimated p ratio for looking is twenty three times. 536 00:26:07,560 --> 00:26:09,600 Speaker 1: They're trading in a P ratio twenty nine times in 537 00:26:09,640 --> 00:26:12,480 Speaker 1: the hair. And now there is a they are a company. 538 00:26:12,520 --> 00:26:16,080 Speaker 1: They just had their earnings and actually are raising their dividend, 539 00:26:16,440 --> 00:26:18,879 Speaker 1: giving more money in terms of the buy back to investors. 540 00:26:19,040 --> 00:26:20,920 Speaker 1: And they're saying that the economy is still pretty strong. 541 00:26:20,960 --> 00:26:24,399 Speaker 1: Are you seeing a strong and using a slowing down 542 00:26:24,560 --> 00:26:26,680 Speaker 1: of payments from your customers? What does the environment like? 543 00:26:27,040 --> 00:26:28,919 Speaker 1: So one of the other exciting things I think when 544 00:26:28,960 --> 00:26:31,639 Speaker 1: you think about this type of business is that it's 545 00:26:31,640 --> 00:26:35,159 Speaker 1: fairly countercyclical to any recission um And so when in 546 00:26:35,280 --> 00:26:37,520 Speaker 1: good times you see a lot of spend, whether it's 547 00:26:37,560 --> 00:26:40,440 Speaker 1: on retail or travel, which we see on the built 548 00:26:40,480 --> 00:26:44,199 Speaker 1: master card, but even in downturns, you still see that 549 00:26:44,280 --> 00:26:47,320 Speaker 1: rent continues to be an expense that most people still 550 00:26:47,359 --> 00:26:49,800 Speaker 1: have to pay month over month. And so if you 551 00:26:49,800 --> 00:26:54,600 Speaker 1: can make that better payment experience right and reward them, 552 00:26:54,600 --> 00:26:59,560 Speaker 1: our business days fairly recession proof. As consumers change spending 553 00:26:59,560 --> 00:27:02,240 Speaker 1: the habits elsewhere. And what about you and hiring? And 554 00:27:02,359 --> 00:27:04,560 Speaker 1: you are you based in New what is so? We are? 555 00:27:04,680 --> 00:27:06,919 Speaker 1: We are in New York office. We are probably one 556 00:27:06,920 --> 00:27:10,720 Speaker 1: of those crazy companies that have believed an in person office, 557 00:27:11,119 --> 00:27:13,399 Speaker 1: and so our team has been coming in since it 558 00:27:13,520 --> 00:27:17,600 Speaker 1: was allowed um one, and so we continue to have 559 00:27:17,600 --> 00:27:19,840 Speaker 1: folks come in and I'll tell you like that has 560 00:27:19,880 --> 00:27:24,280 Speaker 1: been one of our best recruiting tools to being in 561 00:27:24,359 --> 00:27:26,199 Speaker 1: New York and telling folks that we are an in 562 00:27:26,280 --> 00:27:29,159 Speaker 1: person culture that you can come in and work with 563 00:27:29,240 --> 00:27:33,000 Speaker 1: other really smart people to help solve real problems that 564 00:27:33,040 --> 00:27:38,199 Speaker 1: affect frankly, our own employee base and their friends. So, so, 565 00:27:38,320 --> 00:27:40,760 Speaker 1: is there any hybrid have you said, look, will be, 566 00:27:40,840 --> 00:27:42,960 Speaker 1: we'll be, We'll put your purposes. Yeah. Look, I think 567 00:27:42,960 --> 00:27:45,359 Speaker 1: it's really important as a CEO in today's economy to 568 00:27:45,400 --> 00:27:47,359 Speaker 1: be clear on where you stand. I think it's that 569 00:27:47,400 --> 00:27:50,080 Speaker 1: ambiguity that's been very hard for folks because then you 570 00:27:50,080 --> 00:27:51,880 Speaker 1: feel the pressure to go in, but don't know if 571 00:27:51,880 --> 00:27:53,760 Speaker 1: you should go in and no one else And so 572 00:27:54,000 --> 00:27:56,360 Speaker 1: we've just made it really simple. We're an in person company. 573 00:27:56,560 --> 00:27:58,880 Speaker 1: If you need to take time and be flexible, we're 574 00:27:58,920 --> 00:28:01,000 Speaker 1: totally okay with that. But I gotta tell you that 575 00:28:01,119 --> 00:28:04,639 Speaker 1: the productivity, the morale. We've had no turnover at this 576 00:28:04,720 --> 00:28:07,520 Speaker 1: business really in the last fourteen months since we launched 577 00:28:07,520 --> 00:28:09,560 Speaker 1: the product, and I think that's a testament to people 578 00:28:09,960 --> 00:28:13,520 Speaker 1: just having those relationships, those friendships and candily working on 579 00:28:13,600 --> 00:28:17,280 Speaker 1: problems that actually matter to society. Today, right, And I 580 00:28:17,280 --> 00:28:20,560 Speaker 1: think what I'm really excited about today is this built 581 00:28:20,600 --> 00:28:22,760 Speaker 1: home stuff. I mean, if we can help young people 582 00:28:23,119 --> 00:28:26,040 Speaker 1: understand what it takes to go from renting to home 583 00:28:26,080 --> 00:28:29,840 Speaker 1: ownership and make it as easy to understand as here's 584 00:28:29,840 --> 00:28:31,960 Speaker 1: what you're paying and rent, here's what you could buy 585 00:28:32,000 --> 00:28:34,359 Speaker 1: for that same amount, and by the way, here's how 586 00:28:34,400 --> 00:28:35,960 Speaker 1: much you need to save, and if you want, you 587 00:28:36,000 --> 00:28:38,480 Speaker 1: can use your points to cover that down payment. I mean, 588 00:28:38,720 --> 00:28:40,800 Speaker 1: that is going to be the most important driver to 589 00:28:40,920 --> 00:28:44,600 Speaker 1: fixing inequality in our generation, because otherwise a small handful 590 00:28:44,640 --> 00:28:47,400 Speaker 1: will get to buy homes and build wealth and everybody 591 00:28:47,440 --> 00:28:50,520 Speaker 1: else will be left behind paycheck to paycheck. And I 592 00:28:50,560 --> 00:28:52,800 Speaker 1: think if we can help move the needle even a 593 00:28:52,840 --> 00:28:58,200 Speaker 1: little bit on that, it's a really motivating opportunity. Financial knowledge, 594 00:28:58,600 --> 00:29:01,280 Speaker 1: financial empowerment. We are here for it, come and talk 595 00:29:01,320 --> 00:29:03,720 Speaker 1: about it all day every day. And Chow Jane, of course, 596 00:29:03,960 --> 00:29:07,200 Speaker 1: the Built CEO, talking about well what I'm pretty passionate 597 00:29:07,240 --> 00:29:09,400 Speaker 1: about too. Meanwhile, coming up the story of crypto, where 598 00:29:09,400 --> 00:29:11,840 Speaker 1: did it come from? How does it work? Because they're 599 00:29:11,840 --> 00:29:14,560 Speaker 1: all a scam, mr All. Where would it take us? 600 00:29:14,720 --> 00:29:16,800 Speaker 1: We discussed in the latest issue of Broomberg Business Week, 601 00:29:16,920 --> 00:29:20,120 Speaker 1: which is totally utterly from page the start to the finish, 602 00:29:20,320 --> 00:29:53,360 Speaker 1: dedicated to these questions. There's a broom bag. Hi. I'm Mattlivian, 603 00:29:54,000 --> 00:29:57,160 Speaker 1: former lawyer and investment banker. Now I'm a columnist for 604 00:29:57,200 --> 00:30:00,440 Speaker 1: Bloomberg Opinion, where I write a finances letter called money Stuff. 605 00:30:00,760 --> 00:30:03,320 Speaker 1: For the past few years, the most polarizing thing in 606 00:30:03,360 --> 00:30:08,000 Speaker 1: finance has been crypto. Crypt grew out of Setoshi Nakamoto's 607 00:30:08,040 --> 00:30:11,200 Speaker 1: Bitcoin white paper to become, among other things, the set 608 00:30:11,200 --> 00:30:14,440 Speaker 1: of lines on charts that went up, some people bought Lamborghinis, 609 00:30:15,840 --> 00:30:19,000 Speaker 1: and then this year those lines on charts went down. 610 00:30:19,520 --> 00:30:24,280 Speaker 1: If you're at crypto skeptic, this was very satisfying crypto enthusiasts. 611 00:30:24,680 --> 00:30:30,680 Speaker 1: It was just another reason to double down. I don't 612 00:30:30,720 --> 00:30:33,000 Speaker 1: have strong feelings either way about the value of crypto. 613 00:30:33,360 --> 00:30:36,600 Speaker 1: I like finance. I think it's interesting and if you 614 00:30:36,720 --> 00:30:40,320 Speaker 1: like understanding the structures that people built to organize economic reality, 615 00:30:41,600 --> 00:30:46,600 Speaker 1: crypto is amazing. Bloomberg Business we asked me to write 616 00:30:46,600 --> 00:30:49,160 Speaker 1: about crypto, and when I was finished, it was enough 617 00:30:49,200 --> 00:30:52,080 Speaker 1: to fill an entire issue cover to cover. It's called 618 00:30:52,280 --> 00:30:55,000 Speaker 1: the Crypto Story, and I think it's as thrilling to 619 00:30:55,040 --> 00:31:08,120 Speaker 1: read as a ride in a lambo. Matthew Levine, Bloomberg 620 00:31:08,160 --> 00:31:11,080 Speaker 1: opinion columnists who covers finance, who wrote the entire issue 621 00:31:11,120 --> 00:31:13,400 Speaker 1: the Latest Business Week, just the second time in the 622 00:31:13,440 --> 00:31:17,280 Speaker 1: magazine's history, and one single author has done that. So 623 00:31:17,320 --> 00:31:19,600 Speaker 1: in today's Crypto Report, we're going to look at that story, 624 00:31:19,720 --> 00:31:22,120 Speaker 1: where it comes from, what it means, and why it 625 00:31:22,240 --> 00:31:26,400 Speaker 1: still matters that Bloomberg's Business Weeks pat Regnia, because it 626 00:31:26,520 --> 00:31:29,520 Speaker 1: takes two to tango, and you had to edit the 627 00:31:29,520 --> 00:31:32,120 Speaker 1: whole thing. So it's the labor of love for you, 628 00:31:32,200 --> 00:31:34,080 Speaker 1: as it is for the person who wrote it. Taught 629 00:31:34,160 --> 00:31:38,440 Speaker 1: us a little bit about this fort opus of lessay 630 00:31:38,560 --> 00:31:41,160 Speaker 1: and really what the key takeaways were for you. So 631 00:31:41,440 --> 00:31:44,120 Speaker 1: for me it was country is an opportunity to have 632 00:31:44,280 --> 00:31:48,920 Speaker 1: crypto demystified. I've I've spent the last you know, a 633 00:31:48,960 --> 00:31:52,120 Speaker 1: couple of years really getting deep into crypto, and every 634 00:31:52,160 --> 00:31:55,080 Speaker 1: story I do, I'm asking the writer, wait, what is 635 00:31:55,120 --> 00:31:58,040 Speaker 1: this thing? Is this a company? Is this a protocol? 636 00:31:58,320 --> 00:32:00,600 Speaker 1: What's this thing that's happening on the block? Chane, Crypto 637 00:32:00,680 --> 00:32:05,080 Speaker 1: has a way of filling the space with new words 638 00:32:05,120 --> 00:32:08,000 Speaker 1: and what seemed like new ideas that you have to 639 00:32:08,040 --> 00:32:11,520 Speaker 1: decode in order to even tell the simplest story about crypto. 640 00:32:11,960 --> 00:32:14,880 Speaker 1: And one of the things that Matt really accomplished in 641 00:32:14,920 --> 00:32:16,760 Speaker 1: this piece, and I think that everyone who reads it 642 00:32:16,800 --> 00:32:21,080 Speaker 1: will enjoy this, is that it takes crypto step by 643 00:32:21,120 --> 00:32:24,760 Speaker 1: step and explains it and most importantly, doesn't do it 644 00:32:24,840 --> 00:32:28,520 Speaker 1: with the purpose of selling you on crypto. In fact, 645 00:32:28,640 --> 00:32:30,720 Speaker 1: I think it's really a tool for thinking about it 646 00:32:30,800 --> 00:32:33,000 Speaker 1: so that when you're encountering it and you're asking yourself, 647 00:32:33,040 --> 00:32:34,760 Speaker 1: what is this thing that I'm looking at? What is 648 00:32:34,800 --> 00:32:37,400 Speaker 1: this thing I'm being sold or pitched on, What is 649 00:32:37,440 --> 00:32:39,840 Speaker 1: this thing I might be considering investing in? What is 650 00:32:39,880 --> 00:32:42,560 Speaker 1: this thing my kid is talking to me about? Is 651 00:32:42,600 --> 00:32:45,400 Speaker 1: this something that that I am familiar with, as opposed 652 00:32:45,440 --> 00:32:48,240 Speaker 1: to being intimidated into thinking that I couldn't understand it? 653 00:32:48,280 --> 00:32:50,840 Speaker 1: And it's so much more sophisticated than I could grasp 654 00:32:51,000 --> 00:32:52,800 Speaker 1: and well done. Because the bit that irritates me so 655 00:32:52,880 --> 00:32:56,360 Speaker 1: much is this discussion about democratization. But it's very under 656 00:32:56,720 --> 00:32:59,240 Speaker 1: democratic to put up acronyms in areas that we don't 657 00:32:59,280 --> 00:33:01,880 Speaker 1: understand and then make every one feel that it's still 658 00:33:01,880 --> 00:33:05,080 Speaker 1: a wall garden, but where the addiction has been real 659 00:33:05,200 --> 00:33:07,440 Speaker 1: and I've seen it in my own family is from 660 00:33:07,520 --> 00:33:10,640 Speaker 1: traditional finance or trad fy that if I'm amuse us 661 00:33:10,640 --> 00:33:13,280 Speaker 1: with that ton of phrase, but traditional finance they if 662 00:33:13,280 --> 00:33:16,200 Speaker 1: they catch the bug for crypto, they'll go all in 663 00:33:16,280 --> 00:33:18,880 Speaker 1: as well. Are we still hearing of that revolving door 664 00:33:18,960 --> 00:33:20,880 Speaker 1: and whether that will continue? Well, I think some of 665 00:33:20,920 --> 00:33:23,640 Speaker 1: that was happening. As Matt says, you know, the lines 666 00:33:23,680 --> 00:33:26,200 Speaker 1: were going up for a while and so this was 667 00:33:26,200 --> 00:33:28,480 Speaker 1: a place to go. Lately, the lines have been going down. 668 00:33:29,000 --> 00:33:33,360 Speaker 1: Um uh not obviously in traditional finance and in crypto. 669 00:33:33,720 --> 00:33:36,239 Speaker 1: So that may that may slow things down. But one 670 00:33:36,240 --> 00:33:38,160 Speaker 1: of the things that crypto does is it gives people 671 00:33:38,200 --> 00:33:41,120 Speaker 1: like another door to go through. So sometimes maybe you 672 00:33:41,160 --> 00:33:43,560 Speaker 1: are I think we've seen this. You're you're doing something 673 00:33:43,600 --> 00:33:46,000 Speaker 1: in traditional finance and things aren't quite clicking for you, 674 00:33:46,080 --> 00:33:48,320 Speaker 1: or it's not moving as fast as you'd like. Meanwhile, 675 00:33:48,360 --> 00:33:51,440 Speaker 1: over here there's this other new financial system that if 676 00:33:51,480 --> 00:33:54,239 Speaker 1: you can master a piece of code, because it's all 677 00:33:54,280 --> 00:33:56,720 Speaker 1: there and it's and it's new to get built, you 678 00:33:56,760 --> 00:33:59,320 Speaker 1: can you can start moving right away. You know, those 679 00:33:59,360 --> 00:34:00,960 Speaker 1: of us who have come finance for a while knows 680 00:34:01,000 --> 00:34:03,400 Speaker 1: that you know that there's cycles where that happens where 681 00:34:03,400 --> 00:34:05,720 Speaker 1: there's a new thing on the ground I mean I 682 00:34:06,240 --> 00:34:09,080 Speaker 1: I started covering finance in the nineties. This sort of 683 00:34:09,080 --> 00:34:11,839 Speaker 1: sounds unbelievable, but once mutual funds were the hot thing 684 00:34:12,239 --> 00:34:14,719 Speaker 1: that if you were young, you would start, you would start, 685 00:34:14,760 --> 00:34:16,399 Speaker 1: and then it was e T F this is sort 686 00:34:16,400 --> 00:34:17,840 Speaker 1: of a place where people can get in on the 687 00:34:17,840 --> 00:34:20,839 Speaker 1: ground floor. Well, people started to get in. I think 688 00:34:20,880 --> 00:34:23,920 Speaker 1: when crypto became something that many could have understand or 689 00:34:23,960 --> 00:34:26,920 Speaker 1: at least be tantalized by, was n f T. So 690 00:34:26,960 --> 00:34:29,319 Speaker 1: it was the idea that, oh, I can understand that 691 00:34:29,360 --> 00:34:31,520 Speaker 1: the royalty is going to be going to an artist. 692 00:34:31,520 --> 00:34:34,319 Speaker 1: People can own what they have made and keep sort 693 00:34:34,320 --> 00:34:36,560 Speaker 1: of a value of that as it goes through different 694 00:34:36,560 --> 00:34:39,759 Speaker 1: people's hands. Is n f T still a gateway to 695 00:34:39,800 --> 00:34:42,560 Speaker 1: the system because they have so fallen out of love 696 00:34:42,600 --> 00:34:45,840 Speaker 1: in terms of evaluation perspective, where are we in crypto 697 00:34:45,880 --> 00:34:48,400 Speaker 1: in the longer term? So, you know, Matt when he 698 00:34:48,440 --> 00:34:50,120 Speaker 1: looks at the piece, kind of talks about sort of 699 00:34:50,120 --> 00:34:53,399 Speaker 1: how thin the connection is between the code that you're 700 00:34:54,280 --> 00:34:56,759 Speaker 1: investing in on the blockchain and what the actual piece 701 00:34:56,760 --> 00:34:58,600 Speaker 1: of art is. I do think that for a lot 702 00:34:58,600 --> 00:35:01,480 Speaker 1: of people, um you know, it's sort of disturbing to 703 00:35:01,520 --> 00:35:03,759 Speaker 1: imagine that, like, well, bitcoin, what's backing the value of 704 00:35:03,760 --> 00:35:06,879 Speaker 1: a bitcoin? I don't know. Um now, there's nothing really 705 00:35:06,920 --> 00:35:08,799 Speaker 1: backing the value of a board eight. But at least 706 00:35:08,800 --> 00:35:10,200 Speaker 1: you could sort of say to yourself, it's like, well, 707 00:35:10,239 --> 00:35:12,239 Speaker 1: I kind of understand the art market, so at least 708 00:35:12,239 --> 00:35:14,440 Speaker 1: to the extent that it's a little bit arbitrary and aesthetic. 709 00:35:14,480 --> 00:35:17,160 Speaker 1: I understand that there's a market like that. I think 710 00:35:17,480 --> 00:35:18,960 Speaker 1: this is outside of the scope of Matt Store, but 711 00:35:19,000 --> 00:35:21,080 Speaker 1: I think we've all observed that there were there were enough, 712 00:35:21,080 --> 00:35:24,720 Speaker 1: there were enough shenanigans in that market, kind of creating 713 00:35:24,719 --> 00:35:28,480 Speaker 1: inflated valuations. Um. I mean that I think that's given 714 00:35:28,520 --> 00:35:31,920 Speaker 1: people a lot of pause about getting into that space. 715 00:35:32,360 --> 00:35:35,319 Speaker 1: So what then, Because we talk a lot across all 716 00:35:35,320 --> 00:35:38,399 Speaker 1: of our platforms here that yes, in some ways it's 717 00:35:38,400 --> 00:35:43,120 Speaker 1: a store of value, still is generally a trading asset type. 718 00:35:43,320 --> 00:35:45,040 Speaker 1: When does it become more than that? When does it 719 00:35:45,040 --> 00:35:48,279 Speaker 1: become integral to yours and my way of life? I mean, 720 00:35:48,560 --> 00:35:52,439 Speaker 1: that's really the question that Matt's wrestling with. Matt, as 721 00:35:52,560 --> 00:35:54,360 Speaker 1: you know, is really just an expert on finance, and 722 00:35:54,400 --> 00:35:56,959 Speaker 1: what he really focuses on is the degree to which 723 00:35:57,280 --> 00:36:00,320 Speaker 1: crypto finance is just finance. It's very similar lard of 724 00:36:00,360 --> 00:36:02,680 Speaker 1: finance when you strip it all down. Even though it's 725 00:36:02,680 --> 00:36:04,640 Speaker 1: a new thing and it gives people a new, faster 726 00:36:04,760 --> 00:36:08,360 Speaker 1: start on certain things, it's often rebuilding the same structures 727 00:36:08,400 --> 00:36:10,719 Speaker 1: that we've had before, maybe a new ways, often in 728 00:36:10,760 --> 00:36:13,520 Speaker 1: disastrous ways. Inside of the crypto space. We didn't just 729 00:36:13,560 --> 00:36:15,399 Speaker 1: see a crypto winner. We really saw a crypto two 730 00:36:15,400 --> 00:36:18,560 Speaker 1: thousand and eight. They build all of the structures that 731 00:36:18,640 --> 00:36:22,200 Speaker 1: created a financial crisis inside of crypto um. I think 732 00:36:22,200 --> 00:36:25,640 Speaker 1: it's very interesting that that crisis didn't really weak out 733 00:36:25,920 --> 00:36:28,680 Speaker 1: into the rest of the market. I think, however, that's 734 00:36:28,719 --> 00:36:32,080 Speaker 1: probably one reason why crypto is continuing to be worth 735 00:36:32,120 --> 00:36:35,240 Speaker 1: our attention. Is the people who are building these structures 736 00:36:35,280 --> 00:36:37,840 Speaker 1: are building things that look a lot like the things 737 00:36:38,239 --> 00:36:44,919 Speaker 1: in traditional finance that break and sometimes break disastrously. Well done, well, 738 00:36:45,360 --> 00:36:48,279 Speaker 1: what an enormous read. Go have a look at his work, 739 00:36:48,280 --> 00:36:50,840 Speaker 1: and that of course of Matt levin Bloomberg Business Weeks 740 00:36:50,960 --> 00:37:01,920 Speaker 1: pat Menia, We thank him. Let's get you up to 741 00:37:01,920 --> 00:37:04,200 Speaker 1: speed with the latest in the Musk Twitter saga. Elon 742 00:37:04,280 --> 00:37:07,520 Speaker 1: Musk has impact fact pledged earlier to close the acquisition 743 00:37:07,640 --> 00:37:10,200 Speaker 1: of Twitter by Friday. He announced this in a video 744 00:37:10,239 --> 00:37:12,879 Speaker 1: conference call with bankers we understand helping fund the deal. 745 00:37:13,160 --> 00:37:16,000 Speaker 1: It's all according to sources Ed Ludlow, of course, minute 746 00:37:16,000 --> 00:37:19,040 Speaker 1: by minute across this particular deal. And well he said 747 00:37:19,040 --> 00:37:20,799 Speaker 1: he would do it at the beginning, and now it 748 00:37:20,840 --> 00:37:23,359 Speaker 1: seems as always being forced to do it at the end. Yeah, 749 00:37:23,360 --> 00:37:25,360 Speaker 1: this this is one of the interesting situations where the 750 00:37:25,400 --> 00:37:28,400 Speaker 1: devil's in the detail. And Bloomberg also reporting that, according 751 00:37:28,400 --> 00:37:30,560 Speaker 1: to sources, the banks are kind of braced for this 752 00:37:30,640 --> 00:37:34,360 Speaker 1: borrowing notice that should have come Tuesday. Then the money 753 00:37:34,400 --> 00:37:36,839 Speaker 1: that the banks have pledged in the former debt would 754 00:37:36,840 --> 00:37:40,040 Speaker 1: go into es grow Thursday. And as you said, Carrow, 755 00:37:40,120 --> 00:37:42,479 Speaker 1: he's told these bankers that he fully intends to close 756 00:37:42,560 --> 00:37:46,120 Speaker 1: the deal by five pm Friday. You know, the Twitter 757 00:37:46,160 --> 00:37:48,880 Speaker 1: stock reacted in a way you'd expect. He got closer 758 00:37:48,920 --> 00:37:52,480 Speaker 1: to the dollars twenty cents per share offer price, and 759 00:37:52,520 --> 00:37:55,520 Speaker 1: it's kind of a soft indication from the street that, yeah, 760 00:37:55,680 --> 00:37:57,239 Speaker 1: we think we're at a place where this deal is 761 00:37:57,239 --> 00:37:59,359 Speaker 1: going to get done, and the mechanics of it as 762 00:37:59,400 --> 00:38:02,080 Speaker 1: such that you know, they're moving in that direction. I 763 00:38:02,120 --> 00:38:04,640 Speaker 1: would say we'd already reported a week ago that you 764 00:38:04,920 --> 00:38:08,040 Speaker 1: bankers and advisors on both sides of enacting diligently to 765 00:38:08,160 --> 00:38:12,120 Speaker 1: meet that five pm Eastern time deadline on Oxo, which 766 00:38:12,200 --> 00:38:16,080 Speaker 1: was set by the chance Re Delaware chance rejudge. So 767 00:38:16,360 --> 00:38:19,080 Speaker 1: we know where we stand. And of course later in 768 00:38:19,120 --> 00:38:21,960 Speaker 1: the week twenty six we get Twitter earnings. Talk to 769 00:38:22,040 --> 00:38:24,120 Speaker 1: us about the earnings you've just been digesting. Talk about 770 00:38:24,200 --> 00:38:27,600 Speaker 1: the conversation you had with Ruth Poor at Alphabet. Yeah, 771 00:38:27,680 --> 00:38:29,759 Speaker 1: I mean Alphabet, you know, missing on the top and 772 00:38:29,840 --> 00:38:33,000 Speaker 1: bottom line. Interesting. You know, clearly this is a challenging 773 00:38:33,120 --> 00:38:35,800 Speaker 1: environment for them. In that conversation with Ruth Poor actually 774 00:38:35,840 --> 00:38:38,759 Speaker 1: kind of gave some granularity on the pool back in 775 00:38:38,840 --> 00:38:42,320 Speaker 1: ad budgets across brand and direct ads, particularly on YouTube. 776 00:38:42,520 --> 00:38:45,879 Speaker 1: But ultimately she gave some detail on the macro picture, right, 777 00:38:45,880 --> 00:38:49,759 Speaker 1: which is that the macro environment remains challenging. Um and 778 00:38:50,040 --> 00:38:52,600 Speaker 1: you know, this is a quarter in which all big 779 00:38:52,640 --> 00:38:55,960 Speaker 1: tech companies that derive profits from sales I should say, 780 00:38:55,960 --> 00:38:58,560 Speaker 1: from around the world are facing currency head winds. M 781 00:38:59,000 --> 00:39:01,000 Speaker 1: But you know a point in the middle there. The 782 00:39:01,040 --> 00:39:05,239 Speaker 1: sequential deceleration was primarily driven by lapping what parts saying 783 00:39:05,320 --> 00:39:08,040 Speaker 1: is we're comparing this quarter to what was frankly an 784 00:39:08,040 --> 00:39:10,680 Speaker 1: astonishing quarter in the same period a year ago, where 785 00:39:10,680 --> 00:39:14,000 Speaker 1: they saw just incredible double digit top line growth as 786 00:39:14,000 --> 00:39:16,920 Speaker 1: they recovered from the earlier stages of the pandemic um. 787 00:39:17,600 --> 00:39:20,600 Speaker 1: That's a that's an interesting trick sometimes that executives used 788 00:39:20,600 --> 00:39:22,960 Speaker 1: to point you to a comparison with a strong quarter, 789 00:39:23,520 --> 00:39:26,879 Speaker 1: but anasts many across the bord ahead of earning exam 790 00:39:26,920 --> 00:39:29,719 Speaker 1: has been downgrading the outlooks of companies, and so it's 791 00:39:29,719 --> 00:39:32,520 Speaker 1: always a jolt when they missed them. So I think, 792 00:39:32,600 --> 00:39:34,600 Speaker 1: what does the read across How are you thinking about 793 00:39:34,600 --> 00:39:36,719 Speaker 1: what she's talking about in terms of YouTube, in terms 794 00:39:36,719 --> 00:39:41,040 Speaker 1: of advertisers, what does this mean perhaps for tomorrow for meta? Yeah, 795 00:39:41,120 --> 00:39:43,760 Speaker 1: I think what we're seeing is that there's broad weakness 796 00:39:43,760 --> 00:39:46,120 Speaker 1: in the ad space. Right when we had Snaps earnings 797 00:39:46,200 --> 00:39:49,400 Speaker 1: last week and they scrapped guidance and they had their 798 00:39:49,440 --> 00:39:52,560 Speaker 1: slowest growth on record, they gave some pretty granular deta 799 00:39:52,600 --> 00:39:55,120 Speaker 1: about the pullback by advertisers. The question from the street 800 00:39:55,239 --> 00:39:57,919 Speaker 1: was is this specific to Snap because of what they're 801 00:39:57,960 --> 00:40:00,799 Speaker 1: offering struggling to gain traction with advert isis or is 802 00:40:00,840 --> 00:40:03,560 Speaker 1: this more widespread. In the commentary we've had from roof 803 00:40:03,600 --> 00:40:06,759 Speaker 1: Pat and other Google Alphabet executives, you can see it 804 00:40:06,800 --> 00:40:08,600 Speaker 1: is more widespread, and I guess that it builds some 805 00:40:08,680 --> 00:40:12,480 Speaker 1: concern going into Meta earnings this Thursday. Yes, certainly, I 806 00:40:12,480 --> 00:40:14,319 Speaker 1: think she in one of her key ones, she was saying, look, 807 00:40:14,360 --> 00:40:17,120 Speaker 1: this is this is a pullback and advertising. The question 808 00:40:17,200 --> 00:40:18,960 Speaker 1: is is how long it lasts? And I'm sure we'll 809 00:40:18,960 --> 00:40:21,080 Speaker 1: be getting some more granular detail from the calls that 810 00:40:21,080 --> 00:40:23,400 Speaker 1: are going on with analysts with investors at the moment, 811 00:40:23,880 --> 00:40:26,360 Speaker 1: and so smart, we thank you for delving in with 812 00:40:26,360 --> 00:40:28,480 Speaker 1: the key questions with her and bringing them to us 813 00:40:28,560 --> 00:40:31,360 Speaker 1: as swiftly as he did. Meanwhile, that does it for 814 00:40:31,400 --> 00:40:34,920 Speaker 1: this edition of Bloompeg Technology Wednesday. Do not miss the 815 00:40:34,960 --> 00:40:37,120 Speaker 1: next studio at one point, oh how many chanting a 816 00:40:37,120 --> 00:40:39,960 Speaker 1: story to the door dash CEO. So you want to 817 00:40:40,000 --> 00:40:42,120 Speaker 1: be looking in on that. What is he seeing in 818 00:40:42,239 --> 00:40:45,200 Speaker 1: terms of the consumer the resilience, the desire to spend 819 00:40:45,280 --> 00:40:48,439 Speaker 1: up to get your deliveries as many a question also 820 00:40:48,480 --> 00:40:51,400 Speaker 1: the labor market therein as well, and how we continue 821 00:40:51,440 --> 00:40:54,600 Speaker 1: to consider those employees. Don't forget to check out our 822 00:40:54,600 --> 00:40:56,080 Speaker 1: podcast of course as well. You can find it on 823 00:40:56,120 --> 00:40:58,200 Speaker 1: the terminal if you're lucky enough to have one. Also, 824 00:40:58,520 --> 00:41:01,040 Speaker 1: of course you can go to Apple Justify to my heart, 825 00:41:01,480 --> 00:41:03,160 Speaker 1: and of course go and check out what we've been 826 00:41:03,160 --> 00:41:05,480 Speaker 1: making of the latest Spotify earnings, which of course have 827 00:41:05,560 --> 00:41:07,760 Speaker 1: come minute. Was a big look out for what's Apples 828 00:41:07,800 --> 00:41:10,160 Speaker 1: saying in its earnings later in the week, sit with 829 00:41:10,200 --> 00:41:12,160 Speaker 1: us a Blue Bag TV and of course across all 830 00:41:12,200 --> 00:41:14,640 Speaker 1: our products for the earnings discipline Bag