1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,520 --> 00:00:15,600 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,439 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,080 Speaker 1: at Bloomberg dot com slash podcast. We want to go 7 00:00:22,239 --> 00:00:25,919 Speaker 1: deep into technology critic because I mean, tech is you know, 8 00:00:26,000 --> 00:00:28,480 Speaker 1: just It's been a leader for this market for as 9 00:00:28,480 --> 00:00:31,680 Speaker 1: long as I can remember, almost and my question is 10 00:00:32,479 --> 00:00:34,680 Speaker 1: as we come out of this, is tech going to 11 00:00:34,720 --> 00:00:36,800 Speaker 1: be a leader going forward as a sector. We had 12 00:00:36,840 --> 00:00:39,600 Speaker 1: some week numbers of a week or than expected numbers 13 00:00:39,600 --> 00:00:41,720 Speaker 1: I guess we would say across the tech sector over 14 00:00:41,760 --> 00:00:45,600 Speaker 1: this past earning periods. Let's dive deep into tech. Let's 15 00:00:45,720 --> 00:00:47,519 Speaker 1: round table this and we're gonna do it for a 16 00:00:47,600 --> 00:00:50,120 Speaker 1: couple of segments. Here, Dan, I've senior equity ANALYSTO web 17 00:00:50,120 --> 00:00:53,880 Speaker 1: Bush Securities. Uh joins us here very casual attire. I 18 00:00:53,920 --> 00:00:57,400 Speaker 1: will point out Uh and Man Deep Sing Bloomberg Intelligence 19 00:00:57,400 --> 00:00:59,960 Speaker 1: Senior Tech analyst. Uh. They're both joining us here in 20 00:01:00,000 --> 00:01:02,279 Speaker 1: Bloomberg Interactive Broker Studio, which is good, so we can 21 00:01:02,320 --> 00:01:05,080 Speaker 1: just kind of bat it around for a while. So damn, 22 00:01:05,080 --> 00:01:06,800 Speaker 1: You've been in this business a long time as self 23 00:01:06,800 --> 00:01:09,120 Speaker 1: side analysts, you've been one of the leading voices in 24 00:01:09,920 --> 00:01:13,240 Speaker 1: promoting technology on Wall Street. How do you think about 25 00:01:13,240 --> 00:01:15,399 Speaker 1: this tech sector going forward? I mean over the last 26 00:01:15,520 --> 00:01:17,600 Speaker 1: I would say, since the Great Financial Crisis, it's been 27 00:01:17,600 --> 00:01:21,240 Speaker 1: a leader in this marketplace in terms of stock performance. 28 00:01:21,440 --> 00:01:23,640 Speaker 1: How about the next ten years? Look, I think the 29 00:01:23,720 --> 00:01:26,920 Speaker 1: hyper growth story in tech, I mean the clock struck midnight, 30 00:01:26,920 --> 00:01:29,120 Speaker 1: and I think that's why you're seeing layoffs from Amazon 31 00:01:29,240 --> 00:01:31,959 Speaker 1: to Meta and others. But my view is that you're 32 00:01:32,000 --> 00:01:34,759 Speaker 1: gonna have trillions spent in what I used the Fourth 33 00:01:34,800 --> 00:01:38,520 Speaker 1: Industrial Revolution, and that's not ending because of this recession 34 00:01:38,560 --> 00:01:41,600 Speaker 1: next three to six months. So my view is, especially 35 00:01:41,640 --> 00:01:46,120 Speaker 1: on high quality tech, this is more of a fourth 36 00:01:46,240 --> 00:01:49,360 Speaker 1: fifth inning rather than the eighth ninth inning in terms 37 00:01:49,360 --> 00:01:51,440 Speaker 1: of attack, and I think that's why we've been bullish 38 00:01:51,480 --> 00:01:53,800 Speaker 1: on it, you know, even as we go, you know, 39 00:01:53,840 --> 00:01:57,120 Speaker 1: into year into two thousand and twenty three, in terms 40 00:01:57,120 --> 00:02:00,320 Speaker 1: of where we are in the cycle. Mandyp hop on 41 00:02:00,360 --> 00:02:02,320 Speaker 1: in here because I think when I look at tech, 42 00:02:02,360 --> 00:02:05,600 Speaker 1: I mean, it's such a broad sector naturally we think 43 00:02:05,640 --> 00:02:08,400 Speaker 1: of the metas the Amazons and Microsoft, But then there's 44 00:02:08,440 --> 00:02:10,480 Speaker 1: kind of this other lens of chips, and it feels 45 00:02:10,520 --> 00:02:13,560 Speaker 1: like chips are kind of this magnified response of tech, 46 00:02:13,639 --> 00:02:15,280 Speaker 1: and you have the chip equipment makers, which are an 47 00:02:15,280 --> 00:02:19,400 Speaker 1: even bigger magnified response. Are all of these spheres of 48 00:02:19,440 --> 00:02:22,600 Speaker 1: tech on the same page right now? Well, so think 49 00:02:22,639 --> 00:02:25,440 Speaker 1: of you know where the spend is going when it 50 00:02:25,480 --> 00:02:30,120 Speaker 1: comes to topics. So all these companies you mentioned, Meta, Amazon, Alphabet, 51 00:02:30,240 --> 00:02:33,480 Speaker 1: they're spending you know, thirty forty billion dollars fifty billion 52 00:02:33,520 --> 00:02:36,639 Speaker 1: dollars a year on topics. Where is that spend going 53 00:02:36,680 --> 00:02:39,360 Speaker 1: in terms of building data center? In fact, n video 54 00:02:40,120 --> 00:02:42,800 Speaker 1: like you look at their data center growth, they have 55 00:02:42,919 --> 00:02:46,600 Speaker 1: gone from almost nothing to fifteen billion dollar run rate 56 00:02:46,639 --> 00:02:49,920 Speaker 1: in a span of five years. That's phenomenal for a 57 00:02:50,000 --> 00:02:52,720 Speaker 1: chip company. And so that gives you a sense of 58 00:02:53,080 --> 00:02:56,600 Speaker 1: where the next leg of investments will be. Is it 59 00:02:56,639 --> 00:02:59,559 Speaker 1: will be an AI and you know, building cloud capacity 60 00:03:00,160 --> 00:03:02,800 Speaker 1: and and chips is at the forefront. That's why there's 61 00:03:02,800 --> 00:03:05,880 Speaker 1: so much geopolitical tension around chips, you know, the China 62 00:03:06,000 --> 00:03:09,360 Speaker 1: US aspect of it. And I think you just can't 63 00:03:09,400 --> 00:03:11,360 Speaker 1: take that out of the equation. Even if you're in 64 00:03:11,400 --> 00:03:14,600 Speaker 1: a downturn, when we come out of it, the focal 65 00:03:14,680 --> 00:03:18,480 Speaker 1: point will still be semiconductors, AI, machine learning, cloud. These 66 00:03:18,520 --> 00:03:20,880 Speaker 1: are the trends. So you have job securities what you're 67 00:03:20,880 --> 00:03:24,000 Speaker 1: telling me, I hope. So alright, hey, then you know 68 00:03:24,160 --> 00:03:26,240 Speaker 1: talk to us. You know, I need to get into 69 00:03:26,639 --> 00:03:29,440 Speaker 1: this story here, this whole Elon Musk Twitter thing. I'd 70 00:03:29,440 --> 00:03:30,960 Speaker 1: love to get your opinion here because you've been on 71 00:03:31,560 --> 00:03:34,200 Speaker 1: top of the Tesla story since day one, Elon Musk 72 00:03:34,280 --> 00:03:38,000 Speaker 1: since day one, And what do you make of Elon 73 00:03:38,360 --> 00:03:42,480 Speaker 1: and Tesla has has his you know, efforts at Twitter 74 00:03:42,680 --> 00:03:44,840 Speaker 1: change your view of Tesla as a company, as a 75 00:03:44,920 --> 00:03:47,960 Speaker 1: stock and Elon as as an owner. Look, I mean 76 00:03:48,040 --> 00:03:51,560 Speaker 1: I think it's been a circus show, you know, as 77 00:03:51,840 --> 00:03:53,880 Speaker 1: we've all seen. And I think there was a view 78 00:03:54,000 --> 00:03:59,200 Speaker 1: as a Tesla holder that once Must finally bought Twitter 79 00:03:59,320 --> 00:04:02,560 Speaker 1: and ultimately was forced into because he knew legally he 80 00:04:02,680 --> 00:04:04,480 Speaker 1: was gonna have to win it one way or another, 81 00:04:05,120 --> 00:04:08,000 Speaker 1: that it would start to die down in terms of 82 00:04:08,280 --> 00:04:11,520 Speaker 1: just this horror show that continues to play out. But 83 00:04:11,600 --> 00:04:13,960 Speaker 1: instead it hasn't right. I mean, since he's bought it, 84 00:04:13,960 --> 00:04:16,120 Speaker 1: it's kind of been a train wreck situation. He's trying 85 00:04:16,160 --> 00:04:19,840 Speaker 1: to turn around. You know what's really been a treadmill 86 00:04:20,040 --> 00:04:24,600 Speaker 1: Stock and Company for years. He's not someone culturally that's 87 00:04:24,600 --> 00:04:28,360 Speaker 1: gonna be playing ping pong in the Twitter cafeteria or 88 00:04:28,640 --> 00:04:31,960 Speaker 1: you know, doing parties on the rooftop. And I think 89 00:04:32,000 --> 00:04:35,000 Speaker 1: now as a testa investor, you want to see him 90 00:04:35,040 --> 00:04:39,120 Speaker 1: give reins to others that ultimately could operate social media 91 00:04:39,400 --> 00:04:42,679 Speaker 1: because in terms of Tessa, forget the selling of the stock. 92 00:04:43,520 --> 00:04:46,599 Speaker 1: Musk is the gold standard. That's why Tessa trades where 93 00:04:46,600 --> 00:04:49,520 Speaker 1: it is. There's key man risk, we'll call it. You 94 00:04:49,520 --> 00:04:53,280 Speaker 1: don't want to see his attention focus too much on 95 00:04:53,320 --> 00:04:55,680 Speaker 1: Twitter because it comes down to he has diamonds on 96 00:04:55,680 --> 00:04:58,600 Speaker 1: one hand and Tessa has two Dour Slice in New 97 00:04:58,640 --> 00:05:01,280 Speaker 1: York Pizza and the other one whatever. And I think 98 00:05:01,400 --> 00:05:07,120 Speaker 1: that's the frustration for test investors. Well, okay, let's go 99 00:05:07,160 --> 00:05:09,160 Speaker 1: into then the social media space a little bit more 100 00:05:09,200 --> 00:05:14,080 Speaker 1: than I've wondered. If this potential bankruptcy or decline that 101 00:05:14,080 --> 00:05:16,160 Speaker 1: you're seeing in Twitter, does that then create some sort 102 00:05:16,200 --> 00:05:20,440 Speaker 1: of tailwind for the likes of Meta for example. I 103 00:05:20,480 --> 00:05:22,920 Speaker 1: think right now, I mean all those ships are going 104 00:05:22,960 --> 00:05:25,839 Speaker 1: down right. So it's one where there could be some 105 00:05:25,960 --> 00:05:29,320 Speaker 1: life rafts here and there, but books social media is 106 00:05:29,360 --> 00:05:31,679 Speaker 1: that the best growth is in the rear view mirror. 107 00:05:31,680 --> 00:05:35,080 Speaker 1: And that's why Zuckerberg ultimately, once Apple IOLs came out 108 00:05:35,160 --> 00:05:38,080 Speaker 1: with cook and the shot across the bout, I think 109 00:05:38,200 --> 00:05:42,040 Speaker 1: Zuckerberg and Facebook knew, okay, like clock Struck Midnight, it 110 00:05:42,120 --> 00:05:44,080 Speaker 1: was basically time that they were gonna have to transform 111 00:05:44,120 --> 00:05:46,920 Speaker 1: the business model. I think the death of social media. 112 00:05:47,120 --> 00:05:49,680 Speaker 1: I think what's happened is is that it's a it's 113 00:05:49,720 --> 00:05:52,880 Speaker 1: a maturity of social media, and that's really what's happened 114 00:05:52,880 --> 00:05:55,760 Speaker 1: is that how do you monetize? I think the problem 115 00:05:55,800 --> 00:05:59,520 Speaker 1: from us someone that basically has created rockets and electric vehicles. 116 00:05:59,560 --> 00:06:01,760 Speaker 1: He goes in Twitter and he's like, we got two 117 00:06:01,960 --> 00:06:05,919 Speaker 1: d forty million users. Engagement, as we all know, is 118 00:06:06,040 --> 00:06:09,640 Speaker 1: extremely high. How do you monetize it? That's been the 119 00:06:09,720 --> 00:06:13,159 Speaker 1: problem for Twitter. They need to monetize it. And again 120 00:06:13,200 --> 00:06:16,640 Speaker 1: they were spending money like rock stars, so they needed 121 00:06:16,680 --> 00:06:20,520 Speaker 1: to cut cost. That was clear, and now it's about 122 00:06:20,560 --> 00:06:24,000 Speaker 1: ken you turnaround. Penn State's playing at Rutger's this weekend. 123 00:06:24,120 --> 00:06:25,719 Speaker 1: I think I'm gonna get some tickets and go we 124 00:06:25,760 --> 00:06:27,920 Speaker 1: are we are? Are you going? Okay? Alright? So I 125 00:06:27,960 --> 00:06:29,760 Speaker 1: think I might join you there, And we got Mandep 126 00:06:29,800 --> 00:06:32,120 Speaker 1: saying he does all this tech stuff for Bloomberg Intelligence. Man, Deep, 127 00:06:32,120 --> 00:06:34,960 Speaker 1: I want to start with you Meta. When I was 128 00:06:35,000 --> 00:06:39,280 Speaker 1: a kid, it was Facebook, Okay, it was a phenomenal 129 00:06:39,320 --> 00:06:42,000 Speaker 1: growth story. It had so many revenue growth levers to pull, 130 00:06:42,000 --> 00:06:44,400 Speaker 1: whether it's Facebook or the Graham as kids call it, 131 00:06:44,640 --> 00:06:48,520 Speaker 1: or What'sapp or Messenger? Stuck can't buy a friend? Right here? 132 00:06:48,520 --> 00:06:51,440 Speaker 1: What's the call in Meta right here? Well, so clearly 133 00:06:51,520 --> 00:06:54,560 Speaker 1: they have a lot of headmans from Apple as like 134 00:06:54,839 --> 00:06:57,719 Speaker 1: changes that they made and you know the ad pricing 135 00:06:57,760 --> 00:07:01,320 Speaker 1: impact that had on Meta. But the biggest one is 136 00:07:01,520 --> 00:07:04,280 Speaker 1: what are they doing with reality labs and how long 137 00:07:04,320 --> 00:07:07,240 Speaker 1: are they going to spend? So even though they announced 138 00:07:07,240 --> 00:07:10,200 Speaker 1: the job cuts and that actually did help the stock, 139 00:07:10,800 --> 00:07:14,880 Speaker 1: it's still not clear. You know, what is the endgame there, Venville. 140 00:07:14,880 --> 00:07:17,760 Speaker 1: They're leg commercial success. What kind of revenue growth can 141 00:07:17,880 --> 00:07:20,840 Speaker 1: reality labs generate? Because in terms of the installed base 142 00:07:20,920 --> 00:07:24,400 Speaker 1: and unit sales, that's trending down and still Meta is 143 00:07:24,440 --> 00:07:28,280 Speaker 1: talking about losing almost fifteen billion dollars on reality labs 144 00:07:28,360 --> 00:07:30,960 Speaker 1: next year. So how am I supposed to buy stock 145 00:07:31,000 --> 00:07:33,760 Speaker 1: when the top line revenue growth is slowing and these 146 00:07:33,800 --> 00:07:37,080 Speaker 1: expenses on this business I don't even understand are going 147 00:07:37,120 --> 00:07:38,960 Speaker 1: up dramatically. Is that kind of what investors are saying. 148 00:07:39,160 --> 00:07:42,640 Speaker 1: If they start winning against TikTok, or TikTok gets banned 149 00:07:42,640 --> 00:07:45,560 Speaker 1: in the US, that will certainly be a big catalyst 150 00:07:45,920 --> 00:07:48,320 Speaker 1: for the stock as well as for their growth. Because 151 00:07:48,360 --> 00:07:51,200 Speaker 1: think of it this way. If you are an advertiser 152 00:07:51,200 --> 00:07:53,360 Speaker 1: who wants to spend their add dollars, there are only 153 00:07:53,400 --> 00:07:55,560 Speaker 1: so many places you can go to, whether it's Google 154 00:07:55,600 --> 00:07:59,800 Speaker 1: Search or Meta or TikTok or Snap or pinterest. So 155 00:07:59,800 --> 00:08:02,680 Speaker 1: they only handful of platforms, and if TikTok goes out 156 00:08:02,680 --> 00:08:05,240 Speaker 1: of the equation, that will certainly be a booze for 157 00:08:05,440 --> 00:08:09,480 Speaker 1: meta reels. That's the other big investment they're making. We'll 158 00:08:09,520 --> 00:08:11,640 Speaker 1: hop on in here, Dan and talk to us a 159 00:08:11,640 --> 00:08:14,800 Speaker 1: little bit about the ripple effect from meta Specifically, you've 160 00:08:14,840 --> 00:08:16,840 Speaker 1: seen a little bit of tail winds going to and 161 00:08:17,000 --> 00:08:20,960 Speaker 1: video advanced micro devices. This idea that if Facebook now 162 00:08:21,000 --> 00:08:23,640 Speaker 1: Meta is going to power the metaverse, you need the 163 00:08:23,680 --> 00:08:26,600 Speaker 1: chips to do it. Is that a logical tailwinds that 164 00:08:26,600 --> 00:08:29,480 Speaker 1: a sustainable tailwind for some of these other big tech players. Yeah, 165 00:08:29,520 --> 00:08:31,960 Speaker 1: I don't think it is. Look, I think Zuckerberg, it's 166 00:08:32,000 --> 00:08:35,080 Speaker 1: sort of been a Ted Striker from the movie Airplane situation, 167 00:08:35,760 --> 00:08:37,640 Speaker 1: and I think that's you know, you go back to 168 00:08:37,640 --> 00:08:42,320 Speaker 1: that last conference call investors have really you know, the 169 00:08:42,400 --> 00:08:44,760 Speaker 1: patients is worn thin because I think in terms of 170 00:08:44,800 --> 00:08:47,640 Speaker 1: the metaverse strategy in this type market, that's not what 171 00:08:47,679 --> 00:08:49,040 Speaker 1: you want to see. That's why they had to cut 172 00:08:49,040 --> 00:08:51,559 Speaker 1: back to cost. And I think ultimately gonna have to 173 00:08:51,600 --> 00:08:53,360 Speaker 1: do more and more of a U turn in terms 174 00:08:53,440 --> 00:08:57,000 Speaker 1: of metaverse. Facebook look as a stock, you know, we'd 175 00:08:57,000 --> 00:08:59,640 Speaker 1: be more cautious on it, just because right now you 176 00:09:00,160 --> 00:09:02,520 Speaker 1: feel like from a social media perspective you must see 177 00:09:02,559 --> 00:09:06,160 Speaker 1: them doubled down. There still massive headwinds you as we 178 00:09:06,240 --> 00:09:08,360 Speaker 1: talked about in terms of what we see with Apple IOLs. 179 00:09:09,000 --> 00:09:10,920 Speaker 1: All right, let's go to Apple because I need your 180 00:09:10,960 --> 00:09:13,400 Speaker 1: call at Dan, you've been one of the most vocal 181 00:09:13,679 --> 00:09:17,680 Speaker 1: UH analysts on Apple here. Um, it's only down sixteen 182 00:09:18,160 --> 00:09:20,400 Speaker 1: year to date, so it's beating the SMP. It's way 183 00:09:20,480 --> 00:09:23,520 Speaker 1: beating the NASTAC here. So it feels like kind of 184 00:09:23,520 --> 00:09:26,960 Speaker 1: a safe port in a in a storm here. What's 185 00:09:27,000 --> 00:09:29,440 Speaker 1: the what are the growth stories for this one going forward? 186 00:09:29,480 --> 00:09:31,160 Speaker 1: Do I have to wait for the next cool phone 187 00:09:31,240 --> 00:09:34,160 Speaker 1: or what's the story? It's a rocket Gibraltar stock. And 188 00:09:34,200 --> 00:09:36,240 Speaker 1: I think the heaters continue to hate the you know, 189 00:09:36,360 --> 00:09:39,040 Speaker 1: fire in a crowd theater every quarter. Yet look with demand, 190 00:09:39,120 --> 00:09:41,080 Speaker 1: I was held up, and I think if you look 191 00:09:41,120 --> 00:09:43,800 Speaker 1: at the services business, doc continues to play out, and 192 00:09:43,840 --> 00:09:46,280 Speaker 1: I think we have a re acceleration going to next year. 193 00:09:46,600 --> 00:09:49,079 Speaker 1: Look in macro, it's going to hit everyone including Apple 194 00:09:49,120 --> 00:09:51,440 Speaker 1: and of course supply chains in issue. But I believe 195 00:09:52,040 --> 00:09:55,439 Speaker 1: it's very negative out there in from an investor perspective, 196 00:09:55,480 --> 00:09:58,840 Speaker 1: and I believe numbers the decks being cleared, and I 197 00:09:58,880 --> 00:10:01,360 Speaker 1: think there's a stock that can continues to move higher 198 00:10:01,400 --> 00:10:03,800 Speaker 1: as we go in next six and nine months. That's 199 00:10:03,800 --> 00:10:08,640 Speaker 1: why intact, Apple, Microsoft, you'll continue to be our favorite names. 200 00:10:10,200 --> 00:10:12,520 Speaker 1: You've been a real expert on cloud and the switch 201 00:10:12,559 --> 00:10:16,760 Speaker 1: to cloud. Will Apple ever enter that game? Now? They 202 00:10:16,760 --> 00:10:19,600 Speaker 1: will always be a consumer focused company. And look, they 203 00:10:19,640 --> 00:10:23,360 Speaker 1: will keep building the back back in infrastructure in terms 204 00:10:23,360 --> 00:10:26,520 Speaker 1: of supporting the services revenue that Dan was talking about. 205 00:10:26,640 --> 00:10:31,320 Speaker 1: But Apple is not an enterprise sales company. You know, 206 00:10:31,440 --> 00:10:34,840 Speaker 1: they will continue to focus on devices, and I think 207 00:10:34,840 --> 00:10:37,400 Speaker 1: they will enter the VR market as well. They will 208 00:10:37,480 --> 00:10:41,560 Speaker 1: launch a headset that could drive the next leg of growth, 209 00:10:41,600 --> 00:10:43,439 Speaker 1: like look at what air pods have done in a 210 00:10:43,520 --> 00:10:46,200 Speaker 1: span of you know, three or four years. So but 211 00:10:46,320 --> 00:10:49,200 Speaker 1: I I do think they will always be consumer focused. 212 00:10:49,240 --> 00:10:51,400 Speaker 1: And if I know, you and the tech team at 213 00:10:51,400 --> 00:10:53,480 Speaker 1: Bloomberg Intelligence kind of look at the industry as a 214 00:10:53,480 --> 00:10:56,360 Speaker 1: whole as well, talk about tech spending in the last 215 00:10:56,360 --> 00:10:58,160 Speaker 1: couple of years and what it might look like a 216 00:10:58,240 --> 00:11:00,600 Speaker 1: a kind of recession or environment maybe for the next 217 00:11:00,679 --> 00:11:04,800 Speaker 1: year or so. Yes, so we definitely were in above 218 00:11:05,040 --> 00:11:08,160 Speaker 1: historical growth rate environment when it comes to tech spending, 219 00:11:08,280 --> 00:11:12,000 Speaker 1: and we probably pulled forward some of the data centers 220 00:11:12,040 --> 00:11:14,760 Speaker 1: spend over the last couple of years, given everyone was 221 00:11:14,800 --> 00:11:18,120 Speaker 1: talking about digital transformation and you know, the shifting work 222 00:11:18,120 --> 00:11:21,720 Speaker 1: clothes to cloud. But still I think, you know, when 223 00:11:21,720 --> 00:11:23,920 Speaker 1: it comes to I T spending, you break it apart 224 00:11:23,960 --> 00:11:27,480 Speaker 1: into software and services, it will still be high single digits. Yes, 225 00:11:27,520 --> 00:11:31,120 Speaker 1: semiconductor is more cyclical, so the hardware and semiconductor component 226 00:11:31,400 --> 00:11:34,600 Speaker 1: will slow down, but overall tech spending will continue to 227 00:11:34,679 --> 00:11:38,280 Speaker 1: be you know, at least two times GDP. Yeah, I'm 228 00:11:38,280 --> 00:11:39,800 Speaker 1: sticking with it. I mean, I don't know. I mean, 229 00:11:39,800 --> 00:11:41,720 Speaker 1: it's been good for me for the last twelve years, 230 00:11:41,720 --> 00:11:43,640 Speaker 1: don't you think, I mean you know, so you know 231 00:11:43,640 --> 00:11:46,120 Speaker 1: when you were a kid. Yeah, exactly, exactly, all right, 232 00:11:46,120 --> 00:11:48,920 Speaker 1: Mandy seeing Bloomberg Intelligence tech analyst Dan I's web Bush 233 00:11:48,960 --> 00:11:51,920 Speaker 1: securities are covering all things on the TMT space for 234 00:11:52,120 --> 00:11:55,000 Speaker 1: web Bush. We appreciate them coming into the studio round 235 00:11:55,000 --> 00:11:57,720 Speaker 1: tabling a couple of segments here talking about tech um. 236 00:11:57,760 --> 00:12:01,200 Speaker 1: It's going to continue to be a solid growth story 237 00:12:01,640 --> 00:12:07,120 Speaker 1: going forward. Look at a bitcoint pretty I mean finally 238 00:12:07,160 --> 00:12:09,160 Speaker 1: getting a little bit of stability here. It's up about 239 00:12:09,160 --> 00:12:12,000 Speaker 1: a four tenths of one percent here sixteen thousand, five ninety. 240 00:12:12,000 --> 00:12:13,960 Speaker 1: But the world of crypto, I mean you talk about 241 00:12:13,960 --> 00:12:17,400 Speaker 1: the crypto winter, Okay, I guess the asset class a 242 00:12:17,400 --> 00:12:19,280 Speaker 1: little bit out of favors. What I take you the 243 00:12:19,360 --> 00:12:22,120 Speaker 1: term crypto winter. But then we got f t X 244 00:12:22,120 --> 00:12:24,199 Speaker 1: blowing up. This is like the nasdacs saying we're going 245 00:12:24,200 --> 00:12:27,440 Speaker 1: out of business. This is crazy and it is an 246 00:12:27,520 --> 00:12:31,640 Speaker 1: ever ever changing story on a daily and hourly a 247 00:12:31,640 --> 00:12:34,640 Speaker 1: minute basis. And Bloomberg has got some great, great reporting, 248 00:12:35,160 --> 00:12:39,240 Speaker 1: uh and on this story and part of that reporting 249 00:12:39,240 --> 00:12:42,280 Speaker 1: team is Annie Massa. She's an investigating reporter, investing reporter 250 00:12:42,320 --> 00:12:44,559 Speaker 1: for Bloomberg News. He joins us here in our Bloomberg 251 00:12:44,559 --> 00:12:47,240 Speaker 1: Interactive Broker studio. She's not mailing in, phoning it in, 252 00:12:47,400 --> 00:12:54,800 Speaker 1: She's in the studio exactly. So Annie, the Sam Bankman 253 00:12:54,880 --> 00:12:58,000 Speaker 1: freed guy. What do we know about him and what 254 00:12:58,360 --> 00:13:01,000 Speaker 1: kind of happened here? We know a lot about him. 255 00:13:01,040 --> 00:13:03,400 Speaker 1: We've all been very exposed to Sam Bankman Freed over 256 00:13:03,400 --> 00:13:06,319 Speaker 1: the past year or two years. But what is coming 257 00:13:06,320 --> 00:13:08,560 Speaker 1: to light is that he's a totally different kind of 258 00:13:08,600 --> 00:13:12,400 Speaker 1: person than many people really thought. In the bankruptcy documents 259 00:13:12,480 --> 00:13:16,240 Speaker 1: that came out today, there is a trove of information 260 00:13:16,280 --> 00:13:19,680 Speaker 1: about how he ran f t X and his affiliated 261 00:13:19,679 --> 00:13:24,120 Speaker 1: hedge fund, Ali Alima Research, and how there was no 262 00:13:24,840 --> 00:13:28,720 Speaker 1: there was no internal system, no controls, and actually a 263 00:13:28,800 --> 00:13:33,200 Speaker 1: pretty flagrant um sense of uh. I mean, it's it 264 00:13:33,240 --> 00:13:38,120 Speaker 1: goes beyond lack of oversight to to really irresponsibility. Is 265 00:13:38,120 --> 00:13:41,920 Speaker 1: there anybody talking fraud at this point? That's that's a 266 00:13:41,960 --> 00:13:44,679 Speaker 1: big suspicion. I mean, when when you talk to people 267 00:13:44,679 --> 00:13:47,040 Speaker 1: in the industry, they're like, yeah, this guy's going to jail, 268 00:13:47,679 --> 00:13:50,840 Speaker 1: But I mean, who's to say, like it's still playing out, 269 00:13:50,920 --> 00:13:54,440 Speaker 1: but there's uh, there's certainly not a good feeling about 270 00:13:55,320 --> 00:13:57,720 Speaker 1: what's next. Well, I think one of the issues in 271 00:13:57,720 --> 00:14:00,600 Speaker 1: crypto broadly has been the story of credibility. It's almost 272 00:14:00,640 --> 00:14:03,360 Speaker 1: a experiment that's taking place in crypto that we've seen 273 00:14:03,360 --> 00:14:05,320 Speaker 1: in other markets, in the bond market, in the equity 274 00:14:05,360 --> 00:14:07,760 Speaker 1: market as well. The new f t X CEO saying 275 00:14:07,760 --> 00:14:12,720 Speaker 1: there's a complete failure of corporate controls. How does a 276 00:14:13,040 --> 00:14:15,920 Speaker 1: company like f t X, for example, regain some of 277 00:14:15,920 --> 00:14:18,800 Speaker 1: the credibility scene, say, the equity markets. Yeah, I mean, 278 00:14:18,840 --> 00:14:20,520 Speaker 1: I just want to underscore what you just said. The 279 00:14:21,240 --> 00:14:24,320 Speaker 1: man overseeing the bankruptcy of f t X and its 280 00:14:24,320 --> 00:14:28,560 Speaker 1: affiliated entities oversaw the end Ron bankruptcy. And this is 281 00:14:28,600 --> 00:14:30,720 Speaker 1: a guy who said, I have never in my career 282 00:14:30,920 --> 00:14:35,720 Speaker 1: seen such a lack of trustworthy financial information um and 283 00:14:35,880 --> 00:14:39,680 Speaker 1: complete lack of corporate control. So even he is shaken 284 00:14:39,680 --> 00:14:42,200 Speaker 1: to his core as far as I can tell, and 285 00:14:42,400 --> 00:14:45,560 Speaker 1: says throughout the document that some of the financial information 286 00:14:45,600 --> 00:14:48,520 Speaker 1: provided to him anything provided to him while the company 287 00:14:48,560 --> 00:14:52,360 Speaker 1: was understand Bankman Freed, he doesn't even necessarily trust Sam 288 00:14:52,360 --> 00:14:54,960 Speaker 1: Bankman Freed, I just wonder why is he not sitting 289 00:14:55,040 --> 00:14:59,200 Speaker 1: in an FBI office in Washington or in New york Y? 290 00:14:59,280 --> 00:15:02,800 Speaker 1: Is he? I mean, he's the center of all this 291 00:15:03,560 --> 00:15:05,760 Speaker 1: and there are billions of dollars that have been lost. 292 00:15:05,760 --> 00:15:07,840 Speaker 1: Why is he still hanging out in the Bahamas? A 293 00:15:08,040 --> 00:15:11,880 Speaker 1: great question for regulators when they come on the show 294 00:15:11,960 --> 00:15:15,440 Speaker 1: next time. But it's it's true. So um, he's been 295 00:15:15,720 --> 00:15:19,680 Speaker 1: questioned by authorities in the Bahamas, and I think it 296 00:15:20,080 --> 00:15:22,400 Speaker 1: speaks to why was he in the Bahamas in the 297 00:15:22,480 --> 00:15:24,320 Speaker 1: first place? Right, it was no secret that he based 298 00:15:24,360 --> 00:15:26,960 Speaker 1: his business in the Bahamas. Both of these businesses, by 299 00:15:26,960 --> 00:15:29,920 Speaker 1: the way, Alameda and f t X. And you know 300 00:15:30,040 --> 00:15:32,440 Speaker 1: this is a guy who ran these companies. You know, 301 00:15:32,480 --> 00:15:38,040 Speaker 1: Alameda started in no surprise, Alameda County in California, then 302 00:15:38,080 --> 00:15:40,200 Speaker 1: moved to Hong Kong, then moved to the Bahamas. It's like, 303 00:15:40,240 --> 00:15:42,880 Speaker 1: why did this corporate entity have to hop around the 304 00:15:42,920 --> 00:15:50,280 Speaker 1: world to the Caribbean ultimately to UH to survive? So, 305 00:15:50,480 --> 00:15:52,800 Speaker 1: I mean, clearly he was trying to stay out of 306 00:15:52,840 --> 00:15:54,920 Speaker 1: the reaches of US authorities. We know now, I mean, 307 00:15:55,280 --> 00:15:57,520 Speaker 1: but we see this now right in retrospect. Hindsight is 308 00:15:57,520 --> 00:16:01,200 Speaker 1: always but I have to for for the viewers who 309 00:16:01,200 --> 00:16:03,440 Speaker 1: are listeners, I should say, who aren't as familiar with 310 00:16:03,480 --> 00:16:06,240 Speaker 1: the rise of Sam Bankman Freed. How did f t 311 00:16:06,520 --> 00:16:10,560 Speaker 1: X get so big so quickly? Yeah, um, well, it's 312 00:16:10,560 --> 00:16:12,920 Speaker 1: a good point because or it's a good question because 313 00:16:13,640 --> 00:16:15,280 Speaker 1: f t X hasn't been around that long. It was 314 00:16:15,320 --> 00:16:19,000 Speaker 1: the second largest crypto exchange before the bankruptcy. But it's 315 00:16:19,080 --> 00:16:23,280 Speaker 1: not that old. Um. Alameda started first of all. I 316 00:16:23,320 --> 00:16:26,840 Speaker 1: want to underscore that Alameda started first. Alameda started as 317 00:16:26,880 --> 00:16:31,360 Speaker 1: his crypto trading hedge fund in f t X emerged 318 00:16:31,400 --> 00:16:35,120 Speaker 1: as an offshoot of that in Okay, so we're talking 319 00:16:35,200 --> 00:16:37,880 Speaker 1: just a few years this this company rises to be 320 00:16:37,920 --> 00:16:40,160 Speaker 1: the second largest player in all of crypto in the world. 321 00:16:40,400 --> 00:16:43,520 Speaker 1: How did that happen? Well, he was a master manipulator, 322 00:16:43,920 --> 00:16:46,000 Speaker 1: but knew how to access people. He knew how to 323 00:16:46,000 --> 00:16:50,080 Speaker 1: get people on the platform, and he uh and he 324 00:16:50,440 --> 00:16:52,560 Speaker 1: put ads like he got all this VC backing. He 325 00:16:52,600 --> 00:16:56,200 Speaker 1: was able to charm vcs. Raised two billion dollars, right, 326 00:16:56,240 --> 00:16:57,920 Speaker 1: you can. You can throw your weight around with that 327 00:16:58,000 --> 00:17:01,560 Speaker 1: kind of money. And we all saw the Super Bowl 328 00:17:01,600 --> 00:17:04,359 Speaker 1: commercials Um, you know ft X plastered on the sides 329 00:17:04,359 --> 00:17:06,440 Speaker 1: of stadiums. He knew how to get in front of 330 00:17:06,440 --> 00:17:09,399 Speaker 1: retail investors, and I think it started this cycle this 331 00:17:09,520 --> 00:17:13,600 Speaker 1: like flywheel almost where. Um, once the vcs saw all 332 00:17:13,640 --> 00:17:16,280 Speaker 1: the people on trading on the ft X platform, then 333 00:17:16,280 --> 00:17:18,200 Speaker 1: they're like, hey, wait a minute, like everybody else is 334 00:17:18,440 --> 00:17:20,480 Speaker 1: you know in this investment? Why am I not? And 335 00:17:20,800 --> 00:17:24,840 Speaker 1: it's snowballed from there Binance. They seem to be I 336 00:17:24,840 --> 00:17:28,119 Speaker 1: guess the winners here and their founders c z I 337 00:17:28,200 --> 00:17:30,439 Speaker 1: just known by his I'm not sure his name. Um, 338 00:17:30,480 --> 00:17:32,760 Speaker 1: they seem to be the winner here. Is anybody looking 339 00:17:32,800 --> 00:17:36,359 Speaker 1: at them because I know they sold some bitcoin I 340 00:17:36,359 --> 00:17:39,520 Speaker 1: guess last weekend, which would have been the weekend before, 341 00:17:39,560 --> 00:17:43,600 Speaker 1: which kind of accelerated the demise of the ft X platforms. 342 00:17:43,640 --> 00:17:46,000 Speaker 1: Anybody looking at them in any way, shape or form, 343 00:17:46,160 --> 00:17:48,399 Speaker 1: or are they just the winners here? I would be 344 00:17:48,400 --> 00:17:50,879 Speaker 1: cautious to say there are any winners in this story, 345 00:17:51,040 --> 00:17:56,520 Speaker 1: at least now, because it is hard to overstate how 346 00:17:56,720 --> 00:18:01,720 Speaker 1: seismic this event has been in the cryptocurrency industry. Yeah, 347 00:18:01,720 --> 00:18:05,760 Speaker 1: we've spoken to CEOs of other entities within the crypto 348 00:18:05,800 --> 00:18:09,000 Speaker 1: space and they are shaken to their core. They're almost 349 00:18:09,119 --> 00:18:12,199 Speaker 1: they can't believe this happened. Because Sam Bankman Fried was, 350 00:18:12,480 --> 00:18:15,000 Speaker 1: if nothing else, the savior of the industry. He was 351 00:18:15,040 --> 00:18:18,080 Speaker 1: the voice, voice, and face to Washington, d C in 352 00:18:18,160 --> 00:18:22,520 Speaker 1: terms of creating credibility. It's a highly destabilizing event and 353 00:18:22,560 --> 00:18:24,879 Speaker 1: there's been a huge loss of trust in the space. 354 00:18:25,400 --> 00:18:28,680 Speaker 1: So we'll see what emerges from this. But I'm not 355 00:18:28,760 --> 00:18:32,199 Speaker 1: declaring any winners at this point. I'm still shocked that 356 00:18:32,480 --> 00:18:34,840 Speaker 1: and Paul met this point I believe earlier is that 357 00:18:34,960 --> 00:18:38,880 Speaker 1: crypto is actually still sixteen thousand literally at Bitcoin at 358 00:18:38,920 --> 00:18:41,960 Speaker 1: a level of sixteen thousand, uh five, fifteen ish, we'll 359 00:18:42,000 --> 00:18:44,640 Speaker 1: call it at the moment um. I'm surprised that there 360 00:18:44,680 --> 00:18:47,879 Speaker 1: isn't an even bigger reaction to a collapse of the 361 00:18:47,920 --> 00:18:51,280 Speaker 1: second largest crypto exchange, because if he saw that and 362 00:18:51,359 --> 00:18:55,200 Speaker 1: say the equity market, there would definitely be a massive collapse. 363 00:18:55,280 --> 00:18:59,280 Speaker 1: And um Crypto, I felt like, was a growing um entity. 364 00:18:59,480 --> 00:19:02,640 Speaker 1: You've covered exchanges, You've covered accent managers. Do you think 365 00:19:02,680 --> 00:19:06,000 Speaker 1: I get worse from here? I think it absolutely can 366 00:19:06,040 --> 00:19:08,320 Speaker 1: and will get worse from here. I think that we're 367 00:19:09,040 --> 00:19:12,600 Speaker 1: we're still kind of waiting to see the full effects 368 00:19:13,160 --> 00:19:15,640 Speaker 1: of what will happen. This is going to have ripple 369 00:19:15,680 --> 00:19:18,480 Speaker 1: effects in the crypto lending space. It already is. Um, 370 00:19:19,040 --> 00:19:22,160 Speaker 1: the effects are going to ripple out from here. Um. 371 00:19:22,200 --> 00:19:27,160 Speaker 1: To your point about bitcoin, Uh, it's interesting bitcoin. I mean, 372 00:19:27,200 --> 00:19:30,359 Speaker 1: crypto gets all lumped together, right, but but bitcoin is 373 00:19:30,440 --> 00:19:33,520 Speaker 1: different from some of these like fantasy Land tokens that 374 00:19:33,560 --> 00:19:36,240 Speaker 1: were just being minted by f t X. So it's 375 00:19:36,240 --> 00:19:39,480 Speaker 1: seen as more of like a safer bet among the 376 00:19:40,280 --> 00:19:43,000 Speaker 1: speaking of I need a final for my poker table. 377 00:19:43,040 --> 00:19:52,160 Speaker 1: Are you available? Are you? I sure do? Yeah. She's 378 00:19:52,200 --> 00:19:55,560 Speaker 1: a champion to the champions. So if we had brought 379 00:19:55,560 --> 00:19:57,040 Speaker 1: you in, you would have cleaned us out, is what 380 00:19:57,080 --> 00:20:02,080 Speaker 1: you're telling Usily, all right, I didn't know that, Thank 381 00:20:02,119 --> 00:20:06,080 Speaker 1: you very much. That's interesting. Alright, any massive investing reporter, 382 00:20:06,440 --> 00:20:08,800 Speaker 1: poker player for bloo Bo Bourber News, and we appreciate 383 00:20:08,800 --> 00:20:10,879 Speaker 1: her bringing a summer her reporting chops here on this 384 00:20:10,880 --> 00:20:17,480 Speaker 1: whole FTX story in crypto ever evolving. We know that 385 00:20:17,520 --> 00:20:21,480 Speaker 1: the consumer it's about of the US economy, it's pretty big. 386 00:20:21,840 --> 00:20:25,680 Speaker 1: So Bloomberg Intelligence, which is the research arm of Bloomberg LP, 387 00:20:26,359 --> 00:20:29,880 Speaker 1: we allocate a lot of top resources to covering retail 388 00:20:30,600 --> 00:20:34,240 Speaker 1: and the consumer. We've got Punum Goyle, she covers retail. 389 00:20:34,320 --> 00:20:38,520 Speaker 1: Jen bartashes covers retail. Lindsay Dutch also covers retail. We've 390 00:20:38,560 --> 00:20:40,560 Speaker 1: got Lindsay here on the line to give us a 391 00:20:40,600 --> 00:20:42,479 Speaker 1: sense of what's going on out there with the retail 392 00:20:42,520 --> 00:20:45,720 Speaker 1: space and the consumer. And she has her BS and 393 00:20:45,800 --> 00:20:48,800 Speaker 1: math from Lafayette College. She's a leopard. Did you know 394 00:20:48,840 --> 00:20:52,760 Speaker 1: that the Lafayette left with a mathematician? Yeah? Does that 395 00:20:53,080 --> 00:20:55,600 Speaker 1: BS and math at Lafiat College. I mean, I mean 396 00:20:55,640 --> 00:20:57,920 Speaker 1: I would not go up to Lindsay at a cock 397 00:20:57,960 --> 00:21:00,119 Speaker 1: de party, I mean, math person. Why don't they is 398 00:21:00,119 --> 00:21:04,800 Speaker 1: going to come out with formulas and the small talk? Hey, Lindsay, 399 00:21:04,880 --> 00:21:07,600 Speaker 1: thanks so much for joining us here. Of the retail 400 00:21:07,640 --> 00:21:11,080 Speaker 1: companies you cover, what have you been seeing here over 401 00:21:11,200 --> 00:21:13,919 Speaker 1: you know, this quarter? What are they telling you about 402 00:21:13,960 --> 00:21:18,760 Speaker 1: the consumer? About recession all that kind of stuff? Hi, Paul, 403 00:21:18,800 --> 00:21:21,679 Speaker 1: thanks for having me. Um. My focus is on the 404 00:21:21,800 --> 00:21:24,560 Speaker 1: hard lines, and we haven't had too many report but 405 00:21:24,600 --> 00:21:28,719 Speaker 1: there is sort of, you know, a common thread that 406 00:21:28,760 --> 00:21:31,000 Speaker 1: I'm seeing sort of across my space and some of 407 00:21:31,040 --> 00:21:34,960 Speaker 1: the other retailers is you know, obviously, you know, the 408 00:21:34,960 --> 00:21:39,680 Speaker 1: consumers are focused on value. They're very price sensitive, and 409 00:21:39,760 --> 00:21:45,120 Speaker 1: that is driving an extremely promotional environment for these retailers. 410 00:21:45,160 --> 00:21:48,240 Speaker 1: Heading into the key fourth quarter. You know, we see 411 00:21:48,280 --> 00:21:52,320 Speaker 1: that with Bath and body Works, UM And I think 412 00:21:52,400 --> 00:21:56,359 Speaker 1: that the other thing is like managing inventory. These retailers 413 00:21:56,359 --> 00:21:59,359 Speaker 1: are don't want to get over inventory, some of them 414 00:21:59,400 --> 00:22:04,600 Speaker 1: already are there, and that's also really driving these promotions 415 00:22:05,040 --> 00:22:07,840 Speaker 1: UM and we expect them to continue and be elevated 416 00:22:07,880 --> 00:22:10,119 Speaker 1: in the fourth quarter. You mentioned Beth and Body Works, 417 00:22:10,160 --> 00:22:13,199 Speaker 1: it starts up nine today. I mean this is a 418 00:22:13,200 --> 00:22:15,400 Speaker 1: big company, eight and a half billion dollar market cap. 419 00:22:16,000 --> 00:22:19,040 Speaker 1: Tell us what happened with their their numbers? Yes, so 420 00:22:19,080 --> 00:22:21,600 Speaker 1: they basically beat from the top to the bottom line 421 00:22:21,920 --> 00:22:25,280 Speaker 1: UM with results, and they raised their outlook for the 422 00:22:25,400 --> 00:22:28,439 Speaker 1: year after they sort of drastically cut it back in 423 00:22:28,560 --> 00:22:32,119 Speaker 1: July when everyone started really questioning what was going on 424 00:22:32,200 --> 00:22:35,199 Speaker 1: with the consumer and where the pullbacks were going to be. 425 00:22:35,320 --> 00:22:39,440 Speaker 1: And Bath and body really does sell discretionary item, so 426 00:22:39,840 --> 00:22:42,720 Speaker 1: you know, the gut feel, you know, the initial reaction 427 00:22:42,800 --> 00:22:46,000 Speaker 1: might be like that they would be severely hurt in 428 00:22:46,000 --> 00:22:50,720 Speaker 1: this environment, but I think their results really show how 429 00:22:51,040 --> 00:22:57,800 Speaker 1: loyal they're following is and their customers really go to 430 00:22:57,840 --> 00:23:02,440 Speaker 1: their products as sort of state items, especially for the 431 00:23:03,080 --> 00:23:07,360 Speaker 1: the key holiday season. UM. There they use them as gifts. 432 00:23:07,720 --> 00:23:12,760 Speaker 1: You know, people incorporate their their products, their candles, their 433 00:23:12,760 --> 00:23:16,600 Speaker 1: body care into you know, their holiday season. So I 434 00:23:16,680 --> 00:23:20,199 Speaker 1: do think, Um, you know, the results were great, but 435 00:23:20,280 --> 00:23:24,000 Speaker 1: it also demonstrates the future with this company and the 436 00:23:24,080 --> 00:23:28,119 Speaker 1: growth potential that they have with this loyal base. What 437 00:23:28,160 --> 00:23:31,800 Speaker 1: does that then mean for this divergence that I feel 438 00:23:31,840 --> 00:23:34,800 Speaker 1: like a lot of people expected to narrow a little 439 00:23:34,800 --> 00:23:37,240 Speaker 1: bit between perhaps some of the luxury shoppers and then 440 00:23:37,320 --> 00:23:41,280 Speaker 1: some of the uh not luxury shoppers for lack of 441 00:23:41,320 --> 00:23:43,240 Speaker 1: a better term. But essentially what I'm referring to is 442 00:23:43,280 --> 00:23:46,280 Speaker 1: this kind of divergence you saw in Macy's versus Coals, 443 00:23:46,320 --> 00:23:50,800 Speaker 1: in um, even Walmart versus Target. Arguably, what are the 444 00:23:50,880 --> 00:23:54,800 Speaker 1: share shifts that are happening in this space? So for 445 00:23:54,920 --> 00:23:57,320 Speaker 1: bet the body work, because their customer base, you know, 446 00:23:57,480 --> 00:24:02,000 Speaker 1: really does align pretty l with you know, the demographics 447 00:24:02,040 --> 00:24:06,159 Speaker 1: across the US nationally, So they have some high income 448 00:24:06,200 --> 00:24:09,240 Speaker 1: shoppers and they have some low income shoppers, and you know, 449 00:24:09,280 --> 00:24:13,800 Speaker 1: they consider their products sort of affordable luxury. Um, if 450 00:24:13,840 --> 00:24:17,679 Speaker 1: you will, Um, But I think again, it comes back 451 00:24:17,880 --> 00:24:21,119 Speaker 1: to my point of you would kind of expect, you know, 452 00:24:21,160 --> 00:24:23,040 Speaker 1: if people are going to cut back and people are 453 00:24:23,119 --> 00:24:27,399 Speaker 1: cutting back, you know, cutting back on body lotion or 454 00:24:27,480 --> 00:24:31,080 Speaker 1: sprays seems like an obvious thing, right, you may not 455 00:24:31,280 --> 00:24:34,160 Speaker 1: need that item, but I think you know, people are 456 00:24:34,320 --> 00:24:39,359 Speaker 1: very focused on self care and these items are important 457 00:24:39,359 --> 00:24:43,960 Speaker 1: to them and they're basically willing to spend on them. Um. 458 00:24:44,119 --> 00:24:45,800 Speaker 1: But the one thing we did see is they do 459 00:24:45,880 --> 00:24:48,280 Speaker 1: want a deal. So so they want these products, but 460 00:24:48,320 --> 00:24:50,359 Speaker 1: they want a deal. And I think that in the 461 00:24:50,440 --> 00:24:54,879 Speaker 1: fourth quarter, you know, especially Black Friday, Cyber Monday, you know, 462 00:24:54,920 --> 00:24:56,800 Speaker 1: some of the deals are going to be very, very good, 463 00:24:56,840 --> 00:24:59,600 Speaker 1: and I think you know where there was some pullback 464 00:24:59,640 --> 00:25:03,119 Speaker 1: and that lower income consumer in the third quarter, I 465 00:25:03,160 --> 00:25:06,440 Speaker 1: think we're going to see some transactions from that customer 466 00:25:06,480 --> 00:25:09,560 Speaker 1: because they want the items, They're going to come into 467 00:25:09,600 --> 00:25:12,119 Speaker 1: the store and they're gonna stock up when the price 468 00:25:12,200 --> 00:25:14,880 Speaker 1: is low. So little line for the companies you cover 469 00:25:14,920 --> 00:25:17,960 Speaker 1: in retail, are shoppers coming back to the store. Are 470 00:25:17,960 --> 00:25:22,639 Speaker 1: they still just clicking from their couch so? Um. You know, 471 00:25:22,880 --> 00:25:26,280 Speaker 1: since stores sort of started reopening in one you know, 472 00:25:26,320 --> 00:25:29,000 Speaker 1: we've seen a resurgence of brick and mortar. Right the 473 00:25:29,520 --> 00:25:35,960 Speaker 1: storefront is essential to drawing people, um to buy your products. UM, 474 00:25:36,040 --> 00:25:38,800 Speaker 1: and we are seeing people back in the stores. I think, 475 00:25:38,840 --> 00:25:42,320 Speaker 1: you know, Black Friday is going to look a lot 476 00:25:42,440 --> 00:25:46,880 Speaker 1: more like pre pandemic UM, where you know, people are 477 00:25:46,960 --> 00:25:49,320 Speaker 1: waiting a little bit to do their shopping, and I 478 00:25:49,359 --> 00:25:52,320 Speaker 1: think they are going to go in person to these 479 00:25:52,359 --> 00:25:56,720 Speaker 1: stores and explore the products um and and try to 480 00:25:56,760 --> 00:26:00,280 Speaker 1: take advantage of the deals out there, not me sitting 481 00:26:00,280 --> 00:26:02,120 Speaker 1: on the count and I'm clicking if I can't buy 482 00:26:02,200 --> 00:26:04,320 Speaker 1: with my phone, it in happen it, Lindsay, thank you 483 00:26:04,400 --> 00:26:06,800 Speaker 1: so much for joining us. Appreciate it. Lindsay Dutch. She's 484 00:26:06,840 --> 00:26:09,800 Speaker 1: an analyst at Bloomberg Intelligence. Comes lots of things, but 485 00:26:09,840 --> 00:26:12,440 Speaker 1: she really does a great job on the retail space. 486 00:26:12,480 --> 00:26:15,520 Speaker 1: We've got a strong team there at Bloomberg Intelligence because hey, 487 00:26:15,520 --> 00:26:17,720 Speaker 1: there's a lot of companies out there in the retail 488 00:26:17,760 --> 00:26:20,320 Speaker 1: space UH and be the consumers such a big part 489 00:26:20,960 --> 00:26:22,919 Speaker 1: of this economy. And it's interesting to see how the 490 00:26:22,960 --> 00:26:28,199 Speaker 1: consumer UH is faring here with high inflation, appending recession. 491 00:26:28,520 --> 00:26:30,440 Speaker 1: Yet the retail sales numbers we saw come out we're 492 00:26:30,440 --> 00:26:32,879 Speaker 1: pretty darn good. UM, So we'll have to keep on 493 00:26:32,960 --> 00:26:38,199 Speaker 1: top of that. We need to get the latest on 494 00:26:38,480 --> 00:26:42,000 Speaker 1: the Ukraine. This is a fluid situation, of course, but 495 00:26:42,119 --> 00:26:44,840 Speaker 1: we need to speak to some experts and get the real, 496 00:26:45,080 --> 00:26:47,320 Speaker 1: uh sense of what's going on there, and we do 497 00:26:47,400 --> 00:26:50,280 Speaker 1: that right now with Dr Ariel Cohen. He's a senior 498 00:26:50,320 --> 00:26:54,200 Speaker 1: fellow at the Atlantic Council Eurasia Center. UH. He also 499 00:26:54,240 --> 00:26:56,600 Speaker 1: served as a Senior research fellow in Russian and Eurasian 500 00:26:56,640 --> 00:27:00,200 Speaker 1: studies and International Energy policy at the Heritage Foundation. The 501 00:27:00,280 --> 00:27:02,239 Speaker 1: author of six books, He's been doing his stuff a 502 00:27:02,240 --> 00:27:05,000 Speaker 1: long time. Folks, Um, Dr Colin, thanks so much for 503 00:27:05,160 --> 00:27:08,119 Speaker 1: joining us here. Boy, I guess I think about the 504 00:27:08,160 --> 00:27:11,760 Speaker 1: last fourty eight hours, it seems like the world kind 505 00:27:11,760 --> 00:27:14,639 Speaker 1: of dodged the bullet, if you will, in that this 506 00:27:14,760 --> 00:27:17,720 Speaker 1: missile strike in Poland. You know, perhaps was not a 507 00:27:17,760 --> 00:27:20,520 Speaker 1: premeditated act on the part of Russia, but boy, it 508 00:27:20,640 --> 00:27:24,359 Speaker 1: just highlights how risky things are over there and maybe 509 00:27:24,480 --> 00:27:28,400 Speaker 1: potentially getting even worse. What's your current state of affairs 510 00:27:28,440 --> 00:27:35,120 Speaker 1: over there? Absolutely? Uh. This is probably the worst deterioration 511 00:27:35,960 --> 00:27:41,160 Speaker 1: UH in the global security field since the Cuban missile crisis. 512 00:27:41,560 --> 00:27:45,439 Speaker 1: But the Cuban missile crisis was resolved quickly. Both the 513 00:27:45,560 --> 00:27:48,800 Speaker 1: US and the Soviet Union did not want the nuclear war. Here, 514 00:27:49,400 --> 00:27:53,760 Speaker 1: it's different because Jima puts in deliberately threatened the use 515 00:27:53,880 --> 00:27:59,159 Speaker 1: of tactical nuclear weapons in Ukraine and wanted the world 516 00:27:59,280 --> 00:28:04,000 Speaker 1: to walk him back from the break. And he really 517 00:28:04,080 --> 00:28:08,000 Speaker 1: really wanted attention. He got it. UH. Now it looks 518 00:28:08,040 --> 00:28:12,600 Speaker 1: like China and India a sort of distancing in different ways, 519 00:28:12,680 --> 00:28:17,359 Speaker 1: but distancing themselves from Russia, including in the recent G 520 00:28:17,480 --> 00:28:23,520 Speaker 1: twenty summit. Um Chairman C who just won the power 521 00:28:23,560 --> 00:28:29,520 Speaker 1: struggle in Beijing, was very careful not to criticize Russia directly, 522 00:28:29,960 --> 00:28:33,359 Speaker 1: but the statement about the necessity to avoid the nuclear 523 00:28:33,400 --> 00:28:35,960 Speaker 1: war was their front and center. Of course, Russia said 524 00:28:36,280 --> 00:28:40,560 Speaker 1: they are against the nuclear war as well, but what 525 00:28:40,640 --> 00:28:44,880 Speaker 1: you see here is a prolonged, protracted conflict in Ukraine. 526 00:28:45,000 --> 00:28:47,960 Speaker 1: Russia things that time is on its side because it 527 00:28:48,040 --> 00:28:53,920 Speaker 1: has more human resources and a greater UH industrial capacity, 528 00:28:54,040 --> 00:28:59,080 Speaker 1: whereas the Moscow power Circle thing that the West will 529 00:28:59,120 --> 00:29:03,560 Speaker 1: lose interest. UH. They hope that the Republicans would win 530 00:29:03,680 --> 00:29:07,520 Speaker 1: both houses, and mistakenly, in my opinion, I thought that 531 00:29:07,560 --> 00:29:11,040 Speaker 1: the Republicans will not support Ukraine. UH. And with the 532 00:29:11,040 --> 00:29:15,400 Speaker 1: exception of some fringe figures who got reelected recently, the 533 00:29:15,440 --> 00:29:19,280 Speaker 1: majority of the Republican Party and Republican voters do support 534 00:29:19,320 --> 00:29:24,480 Speaker 1: our aid to the struggle of the Ukrainian people for 535 00:29:24,520 --> 00:29:27,600 Speaker 1: their freedom. So, but this into some perspective for us 536 00:29:27,640 --> 00:29:30,760 Speaker 1: when it comes to the situation with Poland. At the moment, 537 00:29:30,800 --> 00:29:34,040 Speaker 1: I believe the investigation is still ongoing in terms of OH, 538 00:29:34,080 --> 00:29:36,880 Speaker 1: I believe what has been called a stray missile that 539 00:29:36,920 --> 00:29:40,360 Speaker 1: then hit Polish territory, and I should add NATO territory 540 00:29:40,440 --> 00:29:43,120 Speaker 1: as well. Present Biden has been very vocal about saying 541 00:29:43,640 --> 00:29:46,080 Speaker 1: any inch of NATO, the United States will of course 542 00:29:46,320 --> 00:29:51,120 Speaker 1: go to defend. But there are historical dynamics between Poland 543 00:29:51,320 --> 00:29:55,000 Speaker 1: Ukraine and then Poland Russia. Highlight to our audience why 544 00:29:55,040 --> 00:30:01,480 Speaker 1: that's so important. The missile fell in the Polish territory 545 00:30:01,520 --> 00:30:06,760 Speaker 1: close to the Ukrainian border. UM. The missile appeared to 546 00:30:06,880 --> 00:30:11,320 Speaker 1: missiles appeared to be at this moment the Ukrainian anti 547 00:30:11,320 --> 00:30:18,200 Speaker 1: aircraft missiles that hit air Russian UM missile that was 548 00:30:18,320 --> 00:30:25,880 Speaker 1: flying towards UM a Ukrainian target probably and energy target. 549 00:30:26,320 --> 00:30:31,320 Speaker 1: And UH. President Biden said that because Russia started this war, UH, 550 00:30:31,360 --> 00:30:35,920 Speaker 1: the ultimate responsibility is with Russia. Two people were killed 551 00:30:35,920 --> 00:30:38,960 Speaker 1: in Poland. For a moment, it looked at like a 552 00:30:39,040 --> 00:30:43,520 Speaker 1: Russian strike against Polish territory that would of course escalate 553 00:30:43,600 --> 00:30:47,080 Speaker 1: this war to a whole new level. But looks like, 554 00:30:47,200 --> 00:30:50,160 Speaker 1: thankfully this is not the case, and we very much 555 00:30:50,200 --> 00:30:53,920 Speaker 1: hope that this is not going to be a step 556 00:30:54,640 --> 00:30:59,080 Speaker 1: in escalation. But the escalation is deliberate Russian destruction of 557 00:30:59,160 --> 00:31:03,880 Speaker 1: the Ukrainian energy infrastructure, in which hundreds of thousands of 558 00:31:03,960 --> 00:31:07,840 Speaker 1: civilians remain without electricity and heat in the middle of 559 00:31:07,960 --> 00:31:11,160 Speaker 1: the war. So the Russians are trying to break the 560 00:31:11,320 --> 00:31:15,280 Speaker 1: spirit of resistance in Ukrap Dr Cohen, you know, we're 561 00:31:15,280 --> 00:31:18,360 Speaker 1: now many months into this war in Ukraine, we're coming 562 00:31:18,440 --> 00:31:21,680 Speaker 1: upon you know, uh, the winter season in that part 563 00:31:21,800 --> 00:31:25,600 Speaker 1: of the world. Based upon your experience, how do you 564 00:31:25,720 --> 00:31:29,520 Speaker 1: think this war resolves itself? How do you how do 565 00:31:29,520 --> 00:31:31,480 Speaker 1: you think it plays out? And maybe over what time frame? 566 00:31:33,160 --> 00:31:37,120 Speaker 1: I think we are going to see fighting in winter, 567 00:31:37,360 --> 00:31:42,680 Speaker 1: which is brutal. Um, it will get into the negative 568 00:31:43,080 --> 00:31:49,080 Speaker 1: tens and twenties occasionally there or the thaw maybe freezing, 569 00:31:49,840 --> 00:31:55,240 Speaker 1: but it's still December through March is quite nasty. Then 570 00:31:55,280 --> 00:32:00,200 Speaker 1: there'll be a little hiatus when the mud season strikes 571 00:32:00,640 --> 00:32:04,239 Speaker 1: late March early April, and then into the summer. So 572 00:32:04,360 --> 00:32:08,960 Speaker 1: I I see probably close to another year unless something 573 00:32:09,040 --> 00:32:12,680 Speaker 1: major happens. Look, Russian history teaches us at every tar 574 00:32:13,360 --> 00:32:18,280 Speaker 1: every ruler that loses war loses power. And Mr Putsen 575 00:32:18,680 --> 00:32:22,360 Speaker 1: is a great student of Russian history. He knows he 576 00:32:22,440 --> 00:32:25,680 Speaker 1: will not be an exception. All right, Dr Ariel Cohen, 577 00:32:25,720 --> 00:32:28,120 Speaker 1: thank you so much for joining us there. We appreciate 578 00:32:28,120 --> 00:32:31,440 Speaker 1: getting your thoughts in your perspective. Dr Errol Cohen, he's 579 00:32:31,440 --> 00:32:35,200 Speaker 1: a senior fellow at the Atlantic Council Eurasia Center. Getting 580 00:32:35,240 --> 00:32:38,040 Speaker 1: the latest on the fighting in Ukraine, and Dr Cohen 581 00:32:38,240 --> 00:32:41,200 Speaker 1: was saying, pretty it doesn't seem to be any resolution 582 00:32:41,280 --> 00:32:43,640 Speaker 1: in sight at this point. Yeah, and even I believe 583 00:32:43,640 --> 00:32:46,600 Speaker 1: the joint chis to have the Pentagon yesterday is talking about, well, 584 00:32:46,680 --> 00:32:49,240 Speaker 1: the timeline is going to extend certainly into the winter. 585 00:32:52,600 --> 00:32:55,760 Speaker 1: I had a lot of retail data come out over 586 00:32:55,800 --> 00:32:58,160 Speaker 1: the last week or so. We had some retail sales 587 00:32:58,400 --> 00:33:00,400 Speaker 1: government figures come out little bit better than a expected. 588 00:33:00,440 --> 00:33:03,280 Speaker 1: We've had some pretty good earnings numbers from most of 589 00:33:03,280 --> 00:33:06,080 Speaker 1: the retailers, and Macy's today with some good number stocks 590 00:33:06,160 --> 00:33:10,479 Speaker 1: up um, so we're starting to see getting some decent 591 00:33:10,600 --> 00:33:13,840 Speaker 1: figures of how the consumers really faring. To get some 592 00:33:13,840 --> 00:33:16,640 Speaker 1: more color We've checked in with Harley Finkelstein, president of 593 00:33:16,720 --> 00:33:21,680 Speaker 1: Shopify Shopify trades on the NASDAC under the simple s 594 00:33:21,840 --> 00:33:24,239 Speaker 1: H O P. That makes sense, Hardy, thanks so much 595 00:33:24,280 --> 00:33:27,160 Speaker 1: for joining us here, UM to tell us what's happening 596 00:33:27,160 --> 00:33:30,320 Speaker 1: with your business here, because there is concern about the 597 00:33:30,360 --> 00:33:33,400 Speaker 1: consumer as we potentially head into recession over the next 598 00:33:33,400 --> 00:33:36,880 Speaker 1: several quarters. Hey, Paul, Yeah, thanks for having me. Well, 599 00:33:36,880 --> 00:33:38,800 Speaker 1: it's like I think the UH, if the past few 600 00:33:38,880 --> 00:33:41,080 Speaker 1: years have proven anything, it's that changes is kind of 601 00:33:41,120 --> 00:33:44,040 Speaker 1: the only constant in commerce in general. UM. But we're 602 00:33:44,040 --> 00:33:47,440 Speaker 1: heading into you know, the biggest shopping moments of the year. UM. 603 00:33:47,560 --> 00:33:49,320 Speaker 1: And and there are still some notes in the in 604 00:33:49,320 --> 00:33:52,960 Speaker 1: the landscape. UH surveys are telling us at eight of 605 00:33:53,040 --> 00:33:56,640 Speaker 1: US businesses are planning for a big Black Friday, Cyber 606 00:33:56,640 --> 00:33:58,960 Speaker 1: Monday sales weekend. So that's that we think is really 607 00:33:58,960 --> 00:34:01,520 Speaker 1: really great. UM. And one of the things that you know, 608 00:34:01,520 --> 00:34:03,640 Speaker 1: we're seeing is that there are a couple of trends 609 00:34:03,720 --> 00:34:06,480 Speaker 1: happening bote both for the consumer but also for the 610 00:34:06,520 --> 00:34:08,759 Speaker 1: merchant and and uh, you know, if you compare it 611 00:34:08,800 --> 00:34:11,600 Speaker 1: to last year. Last year we saw but forty seven 612 00:34:11,640 --> 00:34:15,000 Speaker 1: million shoppers buying from Shopify brands over the forty weekend 613 00:34:15,400 --> 00:34:17,799 Speaker 1: UM that felt like it was a vote with their 614 00:34:17,800 --> 00:34:20,960 Speaker 1: wallets to support these amazing independent brands as opposed to 615 00:34:21,000 --> 00:34:23,040 Speaker 1: go to department stores. And so we'll see what happens there. 616 00:34:23,040 --> 00:34:25,239 Speaker 1: But peak sales last year, we're at three point one 617 00:34:25,280 --> 00:34:28,520 Speaker 1: million dollars permitted on Black Friday on Shopify and uh 618 00:34:28,600 --> 00:34:30,760 Speaker 1: and for the weekend we saw were six billion dollars 619 00:34:30,760 --> 00:34:33,120 Speaker 1: sold on our platform. So we'll see what happens this year. 620 00:34:33,160 --> 00:34:34,880 Speaker 1: But there's certainly some optimism in the in the air. 621 00:34:36,920 --> 00:34:40,480 Speaker 1: I heard that Shopify is building out their logistics arm, 622 00:34:40,640 --> 00:34:44,360 Speaker 1: which is interesting is usually something we associate with Amazon 623 00:34:44,520 --> 00:34:47,440 Speaker 1: for example, walk us through perhaps some of the challenges 624 00:34:47,480 --> 00:34:50,560 Speaker 1: at least a vision for that. Yeah, I mean a 625 00:34:50,600 --> 00:34:54,319 Speaker 1: couple of things, I think for the relationship that our 626 00:34:54,360 --> 00:34:56,640 Speaker 1: merchants have. We have millions of merchants on our platform. 627 00:34:56,840 --> 00:34:59,720 Speaker 1: Shopify is now about ten percent of total e commerce 628 00:34:59,760 --> 00:35:02,759 Speaker 1: in the US alone. UM and and so if you're 629 00:35:02,800 --> 00:35:04,800 Speaker 1: a consumer and you're buying from a from a great 630 00:35:04,880 --> 00:35:07,880 Speaker 1: brand direct on their online storey even offline store and 631 00:35:07,960 --> 00:35:10,880 Speaker 1: experiences is wonderful, there's a really good chance Shopify his 632 00:35:10,880 --> 00:35:13,480 Speaker 1: power and that experience one of the things that we 633 00:35:13,560 --> 00:35:15,560 Speaker 1: know that our merchants are looking for is is they 634 00:35:15,600 --> 00:35:17,480 Speaker 1: want us to help with more of their their retail 635 00:35:18,040 --> 00:35:20,800 Speaker 1: and their commerce issues. And so years ago we introduce 636 00:35:20,880 --> 00:35:23,240 Speaker 1: Shopify payments make it easier for him to exact payments. 637 00:35:23,440 --> 00:35:25,719 Speaker 1: We then introduced things like Shopify Capital. We've now given 638 00:35:25,719 --> 00:35:28,400 Speaker 1: out more than four billion dollars worth of cash advances 639 00:35:28,400 --> 00:35:31,640 Speaker 1: and loan store merchants, and more recently we introduced Shopify Fulfillment. 640 00:35:31,920 --> 00:35:36,480 Speaker 1: And really the idea is so because the consumers expectations 641 00:35:36,520 --> 00:35:39,480 Speaker 1: around fulfillment and shipping have been reset, we want to 642 00:35:39,480 --> 00:35:42,400 Speaker 1: give every merchant that uses Shopify the same effectively the 643 00:35:42,440 --> 00:35:45,040 Speaker 1: same ability to delight them with you know, to day 644 00:35:45,040 --> 00:35:48,160 Speaker 1: affordable shipping uh and that that the big retailers do. 645 00:35:48,239 --> 00:35:50,080 Speaker 1: And we think we can do that with shop by fulfilment. 646 00:35:50,440 --> 00:35:53,080 Speaker 1: But it's not just about one particular product, whether it's 647 00:35:53,080 --> 00:35:55,319 Speaker 1: a film that oar, payments or capital. The ideas we 648 00:35:55,360 --> 00:35:58,000 Speaker 1: are becoming the most important piece of software that these 649 00:35:58,040 --> 00:36:01,239 Speaker 1: millions of stores and merchants use and and to do so, 650 00:36:01,440 --> 00:36:04,400 Speaker 1: we really are are transitioning from just being e commerce 651 00:36:04,400 --> 00:36:07,439 Speaker 1: provider to being a retail operating system. And I think 652 00:36:07,480 --> 00:36:09,400 Speaker 1: a lot of our merchants would say that shopify is 653 00:36:09,480 --> 00:36:13,080 Speaker 1: their business for the most part. Harley, talk to us 654 00:36:13,080 --> 00:36:15,600 Speaker 1: about the pandemic over the last three years. A lot 655 00:36:15,640 --> 00:36:17,799 Speaker 1: of folks, I think it's kind of suggested to me 656 00:36:17,880 --> 00:36:21,200 Speaker 1: that maybe it's that has pulled forward maybe you know, 657 00:36:21,600 --> 00:36:27,360 Speaker 1: five years of market share gains for e commerce forward. Um, 658 00:36:27,480 --> 00:36:29,319 Speaker 1: A do you do you agree with that? Do you 659 00:36:29,360 --> 00:36:32,080 Speaker 1: think e commerce will louse share? Is? Maybe people start 660 00:36:32,080 --> 00:36:33,640 Speaker 1: going back to stores. How do you an you think 661 00:36:33,640 --> 00:36:36,279 Speaker 1: about that? What are your merchants telling you? Yeah, I mean, 662 00:36:36,320 --> 00:36:38,360 Speaker 1: it's it's a great question. What the pandemic did was 663 00:36:38,440 --> 00:36:41,360 Speaker 1: it certainly did pull forward some some acceleration in e 664 00:36:41,400 --> 00:36:44,799 Speaker 1: commerce penetration. Um, you know, uh, just just to be 665 00:36:44,920 --> 00:36:48,200 Speaker 1: just to be clear, Um, the metric or the vector 666 00:36:48,280 --> 00:36:50,759 Speaker 1: that most people are looking at is e commerce penetration 667 00:36:51,040 --> 00:36:53,840 Speaker 1: as a percentage of total retail. What happened during the 668 00:36:53,840 --> 00:36:57,319 Speaker 1: pandemic is if the equation simple, then the numerator is 669 00:36:57,360 --> 00:37:00,759 Speaker 1: e commerce sales. The denominator is total retail sales. When 670 00:37:00,760 --> 00:37:03,480 Speaker 1: the pandemic hit, you saw two things happen. The numerator 671 00:37:03,560 --> 00:37:06,279 Speaker 1: went up, of course e commerce was higher, but the 672 00:37:06,320 --> 00:37:09,239 Speaker 1: denominator you lost all physical retail, and so you saw 673 00:37:09,280 --> 00:37:12,319 Speaker 1: this massive growth rate and now that we're settling back 674 00:37:12,360 --> 00:37:15,040 Speaker 1: in sort of this you know, post pandemic world, what 675 00:37:15,080 --> 00:37:17,600 Speaker 1: you're seeing is all the gains and e commerce have 676 00:37:17,600 --> 00:37:19,960 Speaker 1: have sustained. We still have all those games, but the 677 00:37:20,000 --> 00:37:22,320 Speaker 1: growth rate is now closer to what we saw in 678 00:37:22,320 --> 00:37:24,959 Speaker 1: two thousand nineteen, but on a much much higher base. 679 00:37:25,160 --> 00:37:28,400 Speaker 1: And so I think the macro tail winds of e 680 00:37:28,520 --> 00:37:31,480 Speaker 1: commerce is is still very very healthy. In fact, e 681 00:37:31,560 --> 00:37:33,759 Speaker 1: commerce will you need to grow over time. We're still 682 00:37:33,880 --> 00:37:36,840 Speaker 1: sub in the US, it's a little bit less in Canada, 683 00:37:36,840 --> 00:37:39,000 Speaker 1: a little bit more in the UK, but e commerce 684 00:37:39,160 --> 00:37:40,960 Speaker 1: generally is still quite small and there's a lot of 685 00:37:41,040 --> 00:37:43,000 Speaker 1: room to grow. Now. The other thing I think that 686 00:37:43,120 --> 00:37:46,080 Speaker 1: is is becoming apparent to to us and certainly to 687 00:37:46,120 --> 00:37:48,279 Speaker 1: the merchants that you shopify you know, uh, you know, 688 00:37:48,360 --> 00:37:51,360 Speaker 1: great brands, whether it's you know, All Birds or its Figs, 689 00:37:51,480 --> 00:37:54,400 Speaker 1: or it's Fashion Nova or Gym Shark. Uh. You know 690 00:37:55,400 --> 00:37:58,120 Speaker 1: I mentioned on the Earnings called Glossy is now Shopify 691 00:37:58,160 --> 00:38:00,640 Speaker 1: and thetels banks these incredible to use this. One of 692 00:38:00,640 --> 00:38:02,000 Speaker 1: the things that we are seeing is that the future 693 00:38:02,040 --> 00:38:04,279 Speaker 1: of retail is not just going to be online, nor 694 00:38:04,400 --> 00:38:05,920 Speaker 1: is it going to be offline. There's sort of this 695 00:38:06,000 --> 00:38:08,680 Speaker 1: talk about is offline coming back? Well, of course, and 696 00:38:08,719 --> 00:38:10,560 Speaker 1: the reason is the future of retail is going to 697 00:38:10,600 --> 00:38:13,040 Speaker 1: be all about consumer choice and the brands that will 698 00:38:13,080 --> 00:38:15,359 Speaker 1: be most successful. I just tweeted about this about an 699 00:38:15,360 --> 00:38:17,759 Speaker 1: hour ago. But you know, Kim Kardashian, her new skin line, 700 00:38:18,080 --> 00:38:20,840 Speaker 1: cosmetic line we know, has a pop up powered by Shopify, 701 00:38:20,880 --> 00:38:23,520 Speaker 1: and so it's all coming together around e commerce and 702 00:38:23,520 --> 00:38:27,600 Speaker 1: commerce colliding and commerce being everywhere. Yep, it certainly seems 703 00:38:27,640 --> 00:38:29,480 Speaker 1: that is the case. Hardy, thank you so much for 704 00:38:29,560 --> 00:38:32,200 Speaker 1: joining us. We'll always appreciate getting the latest from you 705 00:38:32,440 --> 00:38:35,960 Speaker 1: on retail and on Shopify. Harley Finkelstein, he's the president 706 00:38:35,960 --> 00:38:39,000 Speaker 1: and at Shopify. Again, that is a NASTAC traded stock. 707 00:38:39,080 --> 00:38:41,399 Speaker 1: You can type in s h o P, go into 708 00:38:41,440 --> 00:38:45,360 Speaker 1: your Bloomberg terminally get all the latest there forty billion 709 00:38:45,400 --> 00:38:49,279 Speaker 1: dollars market cap there. So again, Black Friday coming up 710 00:38:49,640 --> 00:38:54,280 Speaker 1: big for the retailers. Thanks for listening to the Bloomberg 711 00:38:54,360 --> 00:38:57,759 Speaker 1: Markets podcast. You can subscribe and listen to interviews with 712 00:38:57,840 --> 00:39:02,600 Speaker 1: Apple Podcasts or whatever podcast platform you prefer. I'm Matt Miller. 713 00:39:02,880 --> 00:39:07,160 Speaker 1: I'm on Twitter. At Matt Miller three and I'm fall Sweeney. 714 00:39:07,160 --> 00:39:09,799 Speaker 1: I'm on Twitter at pt Sweeney Before the podcast. You 715 00:39:09,840 --> 00:39:12,239 Speaker 1: can always catch us worldwide at Bloomberg Radio