1 00:00:02,759 --> 00:00:10,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,640 --> 00:00:14,600 Speaker 1: Bloomberg Intelligence podcast. Catch us live weekdays at ten am. 3 00:00:14,640 --> 00:00:17,279 Speaker 1: He's done on Apple, Cocklay and Android Auto with the 4 00:00:17,320 --> 00:00:21,080 Speaker 1: Bloomberg Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,400 --> 00:00:23,120 Speaker 1: or watch us live on YouTube. 6 00:00:23,920 --> 00:00:25,680 Speaker 2: What a time to be covering tech like you and 7 00:00:25,800 --> 00:00:30,440 Speaker 2: Ed Buglow do Carolin. Every day there are major news 8 00:00:30,480 --> 00:00:34,920 Speaker 2: items from major companies and just amazing amounts of dollars. 9 00:00:35,120 --> 00:00:38,520 Speaker 2: Today again, Anthropic commit's fifty billion dollars to build AI 10 00:00:38,680 --> 00:00:39,680 Speaker 2: data centers in the US. 11 00:00:40,400 --> 00:00:41,519 Speaker 3: How do you put it in context? 12 00:00:41,560 --> 00:00:43,919 Speaker 4: I mean, we become a bit numb, and then you 13 00:00:43,960 --> 00:00:46,800 Speaker 4: look to some of the other whopping numbers, like the 14 00:00:46,840 --> 00:00:49,440 Speaker 4: six hundred billion dollars that Mark Zuckerberg has said he's 15 00:00:49,440 --> 00:00:52,400 Speaker 4: spending in capital expenditure an AI data center. You go, oh, actually, 16 00:00:52,479 --> 00:00:53,920 Speaker 4: fifty billion doesn't feel that much. 17 00:00:54,160 --> 00:00:54,319 Speaker 3: Yeah. 18 00:00:54,520 --> 00:00:57,480 Speaker 4: But interestingly, Anthropic what's interesting about this one is, look, 19 00:00:57,520 --> 00:01:01,440 Speaker 4: they've been reliant on investment from Strategics. 20 00:01:00,920 --> 00:01:02,040 Speaker 5: For their access to cloud. 21 00:01:02,520 --> 00:01:06,040 Speaker 4: Google massive investor in Anthropic, and with that comes access 22 00:01:06,040 --> 00:01:09,399 Speaker 4: to cloud and to compute, So too has aws. Amazon 23 00:01:09,440 --> 00:01:12,320 Speaker 4: and AWS has been a real provider of chips and 24 00:01:12,360 --> 00:01:15,280 Speaker 4: particularly remember really Anthropic has been a strategic partner to 25 00:01:15,319 --> 00:01:17,600 Speaker 4: these cloud companies because they've been helping them build out 26 00:01:17,600 --> 00:01:20,520 Speaker 4: their chip offering and they've been helping training models on 27 00:01:20,600 --> 00:01:24,040 Speaker 4: the future generation of those vertically integrated companies. But now 28 00:01:24,080 --> 00:01:27,319 Speaker 4: they're saying, look, we think the US needs to continue 29 00:01:27,319 --> 00:01:29,959 Speaker 4: to build out AI infrastructure. As you've heard from Sam Altman, 30 00:01:30,080 --> 00:01:32,440 Speaker 4: who's already saying he's going to be spending trillions on 31 00:01:32,560 --> 00:01:35,080 Speaker 4: data centers and all the capital expenditure that goes with it. 32 00:01:35,400 --> 00:01:37,600 Speaker 4: Then of course we have the likes of Mark Zuckerberg 33 00:01:37,640 --> 00:01:39,200 Speaker 4: all in on it as well. So it feels as 34 00:01:39,240 --> 00:01:43,399 Speaker 4: though Darah Amadey, who was out of open Ai, came 35 00:01:43,440 --> 00:01:45,280 Speaker 4: over and set up Anthropic to do it in a 36 00:01:45,280 --> 00:01:49,000 Speaker 4: more cautious, humanity friendly way. He's now saying, look, us two, 37 00:01:49,280 --> 00:01:51,080 Speaker 4: we need to put some infrastructure out here. 38 00:01:51,280 --> 00:01:54,520 Speaker 6: Okay, So open ai is the chat GPT as Nthropic 39 00:01:54,760 --> 00:01:55,440 Speaker 6: is to cloud. 40 00:01:55,560 --> 00:01:59,120 Speaker 5: That's a chat they use. How widely usedes this clud 41 00:01:59,120 --> 00:01:59,960 Speaker 5: show they. 42 00:01:59,800 --> 00:02:02,920 Speaker 4: Are really nailing the enterprise space. This is where they've 43 00:02:02,960 --> 00:02:05,400 Speaker 4: managed to lead, in particular when it comes to coding. 44 00:02:05,640 --> 00:02:08,120 Speaker 4: So yes, they don't have eight hundred million weekly users 45 00:02:08,120 --> 00:02:10,000 Speaker 4: in the same way that chat to gpet does. But 46 00:02:10,040 --> 00:02:12,280 Speaker 4: people love it in the enterprise, and that really has 47 00:02:12,280 --> 00:02:15,000 Speaker 4: been their winning formula. They've been really rather profitable, thus 48 00:02:15,040 --> 00:02:17,840 Speaker 4: far more profitable at least or seeing more revenue growth 49 00:02:17,840 --> 00:02:19,680 Speaker 4: than open ai has been seeing because open ai has 50 00:02:19,720 --> 00:02:22,280 Speaker 4: been all about the spending, all about the reinvestment, and 51 00:02:22,320 --> 00:02:24,120 Speaker 4: in many ways, Anthropical have been seen as some sort 52 00:02:24,120 --> 00:02:26,480 Speaker 4: of more asset like version of this. Now that's kind 53 00:02:26,480 --> 00:02:28,280 Speaker 4: of casting that off a little bit. But they just 54 00:02:28,360 --> 00:02:30,880 Speaker 4: raised thirteen billion dollars. They are valued one hundred and 55 00:02:30,960 --> 00:02:33,960 Speaker 4: eighty three billion dollars. That was back in September, and 56 00:02:34,000 --> 00:02:36,440 Speaker 4: they have three hundred thousand business customers. Yeah, so they 57 00:02:36,480 --> 00:02:39,400 Speaker 4: have been managing to show that that the business model works. 58 00:02:39,600 --> 00:02:43,720 Speaker 2: Is there any expectation, Caroline that these companies may come 59 00:02:43,760 --> 00:02:46,080 Speaker 2: public at some point down the line, because I just 60 00:02:46,080 --> 00:02:48,079 Speaker 2: think about the money they're spending, and I know a 61 00:02:48,080 --> 00:02:49,600 Speaker 2: lot of people want to throw money at them, but 62 00:02:49,680 --> 00:02:50,800 Speaker 2: maybe even the public markets. 63 00:02:50,800 --> 00:02:51,640 Speaker 3: So are they talking about that? 64 00:02:51,800 --> 00:02:54,000 Speaker 4: Well, Sam Almond has been saying like it's not. I 65 00:02:54,040 --> 00:02:57,120 Speaker 4: can't give you a date, but clearly they are on 66 00:02:57,160 --> 00:02:59,800 Speaker 4: a path in the next couple of years to going public. 67 00:03:00,000 --> 00:03:01,840 Speaker 4: And that is the idea was many of these businesses, 68 00:03:01,919 --> 00:03:05,200 Speaker 4: These founders feel that it's there. It's their duty. It's 69 00:03:05,240 --> 00:03:07,840 Speaker 4: a duty to be able to allow the everyday retail 70 00:03:07,880 --> 00:03:10,839 Speaker 4: investor as well as these very deep pocketed venture capitalists 71 00:03:10,880 --> 00:03:13,160 Speaker 4: to benefit from their businesses and be able to take 72 00:03:13,160 --> 00:03:15,480 Speaker 4: a chunk in within that. So we're seeing that these 73 00:03:15,520 --> 00:03:17,760 Speaker 4: companies are talking about going public. We've heard it slightly 74 00:03:17,840 --> 00:03:20,120 Speaker 4: less from the anthropics of this world, but I think 75 00:03:20,160 --> 00:03:22,360 Speaker 4: certainly there's going to be a push that these companies 76 00:03:22,400 --> 00:03:24,840 Speaker 4: can't remain private for ever and these boatloads of cash 77 00:03:24,880 --> 00:03:26,960 Speaker 4: that they need can't keep on coming from the same 78 00:03:27,000 --> 00:03:28,200 Speaker 4: group of investors. 79 00:03:28,280 --> 00:03:30,520 Speaker 6: My guess is when they do go public, you know, 80 00:03:30,600 --> 00:03:33,440 Speaker 6: the founders will have a huge swath of the voting 81 00:03:33,440 --> 00:03:34,960 Speaker 6: sharers and everyone else won't. 82 00:03:35,040 --> 00:03:36,119 Speaker 5: Kind of like the Metas of the world. 83 00:03:36,360 --> 00:03:37,000 Speaker 3: Yes, exactly. 84 00:03:37,040 --> 00:03:40,120 Speaker 2: And what's interesting is we mentioned Meta they access the 85 00:03:40,160 --> 00:03:42,440 Speaker 2: bond market just a couple of weeks ago to fund 86 00:03:42,600 --> 00:03:43,360 Speaker 2: a certainly vision. 87 00:03:43,600 --> 00:03:44,600 Speaker 3: Yeah, just incredible. 88 00:03:44,600 --> 00:03:48,000 Speaker 4: But remember some mortment doesn't actually own any system significant 89 00:03:48,040 --> 00:03:51,160 Speaker 4: equity and opening ah okay, so how they would structure 90 00:03:51,200 --> 00:03:53,160 Speaker 4: him to have voting shares is another thing. Entirely, they 91 00:03:53,200 --> 00:03:56,200 Speaker 4: of course, are owned by the overall charitable not for 92 00:03:56,280 --> 00:04:01,240 Speaker 4: profit is in in control and some ways, but and 93 00:04:01,560 --> 00:04:04,280 Speaker 4: has shut stock of Open AI. But I don't know 94 00:04:04,320 --> 00:04:06,800 Speaker 4: what the breakdown of shareholding is by the good contract 95 00:04:06,800 --> 00:04:07,840 Speaker 4: the founders of Panthropic. 96 00:04:08,640 --> 00:04:10,920 Speaker 6: I'm looking at the markets overall, Caroline and for a 97 00:04:10,960 --> 00:04:13,920 Speaker 6: second day, the Dow is outperforming the NAZAC one hundred. 98 00:04:13,960 --> 00:04:15,320 Speaker 5: I don't know how many times you can say that 99 00:04:15,520 --> 00:04:18,200 Speaker 5: over the past couple of years. But the NASAC under pressure. 100 00:04:18,279 --> 00:04:21,799 Speaker 6: And again it's this idea that you know, the AI 101 00:04:22,000 --> 00:04:23,400 Speaker 6: boom is now. 102 00:04:23,240 --> 00:04:24,680 Speaker 5: A little bit more in doubt. 103 00:04:24,680 --> 00:04:27,880 Speaker 6: There's a little bit more skepticism, and people are asking 104 00:04:28,000 --> 00:04:30,880 Speaker 6: questions about you know, is there a clear financial model 105 00:04:30,920 --> 00:04:31,880 Speaker 6: for profitable AI. 106 00:04:31,960 --> 00:04:33,640 Speaker 5: There's a lot of NonStop investment. 107 00:04:33,680 --> 00:04:38,040 Speaker 6: But then how do the people see returns in the 108 00:04:38,080 --> 00:04:40,160 Speaker 6: next year or two years as opposed to ten years 109 00:04:40,200 --> 00:04:40,800 Speaker 6: down the road. 110 00:04:41,120 --> 00:04:44,800 Speaker 5: How has that conversation unfolded in the tech sector. 111 00:04:45,520 --> 00:04:48,440 Speaker 4: It's unfolding by having either side of the equation come 112 00:04:48,480 --> 00:04:51,040 Speaker 4: on the Michael Bowries of this world saying, no one's 113 00:04:51,040 --> 00:04:53,680 Speaker 4: factoring in depreciation of chips. We think that this is 114 00:04:53,880 --> 00:04:56,560 Speaker 4: ultimately overvalued in a bubble. But then we're going to 115 00:04:56,640 --> 00:04:59,560 Speaker 4: have thread needle come on and really start to say, look, 116 00:05:00,080 --> 00:05:02,000 Speaker 4: the proof will be in the fundamentals, the proof will 117 00:05:02,000 --> 00:05:03,839 Speaker 4: be in the earnings. We've just had a cracking set 118 00:05:03,839 --> 00:05:06,040 Speaker 4: of numbers from most of the Magnificent seven. We're still 119 00:05:06,080 --> 00:05:09,320 Speaker 4: waiting on Nvidia AMD coming out once again showing that 120 00:05:09,400 --> 00:05:12,960 Speaker 4: the total addressable market for they're AI accelerators and were 121 00:05:12,960 --> 00:05:14,920 Speaker 4: broadly the chips is going to be one trillion dollars. 122 00:05:15,160 --> 00:05:17,359 Speaker 4: They're showing that they're going to guide for not just 123 00:05:17,440 --> 00:05:20,120 Speaker 4: two years, three years, but up to five years. They 124 00:05:20,120 --> 00:05:22,599 Speaker 4: think that they can be tuning to about thirty five 125 00:05:22,640 --> 00:05:27,320 Speaker 4: percent revenue increases every single year. And we're seeing Keeger 126 00:05:27,400 --> 00:05:29,840 Speaker 4: numbers coming in an the eighty percent field for an 127 00:05:29,920 --> 00:05:32,839 Speaker 4: AI accelerator, offering that MII is really selling well. So 128 00:05:33,240 --> 00:05:35,560 Speaker 4: I think that every time you question it, and yes, 129 00:05:35,600 --> 00:05:38,599 Speaker 4: you can look at the worry about the circular financing, 130 00:05:38,640 --> 00:05:40,560 Speaker 4: the anxiety that a lot of these companies that were 131 00:05:40,640 --> 00:05:42,680 Speaker 4: very asset light, think Matter used to be very asset light, 132 00:05:42,720 --> 00:05:45,560 Speaker 4: and to your point, now we're starting to see them 133 00:05:45,800 --> 00:05:49,280 Speaker 4: laden on debt. These things do fill people with some uncertainty, 134 00:05:49,480 --> 00:05:51,600 Speaker 4: but if really the revenue taps got turned on if 135 00:05:51,640 --> 00:05:55,000 Speaker 4: AMD can prove out that they're building a clear line 136 00:05:55,000 --> 00:05:57,280 Speaker 4: of sight on tens of billions of dollars of revenue, 137 00:05:57,520 --> 00:05:59,239 Speaker 4: people will give them the benefit of the doubt. 138 00:05:59,360 --> 00:06:02,280 Speaker 6: I think everyone's grown very customed to seeing the cash 139 00:06:02,279 --> 00:06:04,320 Speaker 6: and short term investments line for all these big tech 140 00:06:04,320 --> 00:06:06,640 Speaker 6: companies at like hundreds of billions of dollars, and that's 141 00:06:06,680 --> 00:06:07,919 Speaker 6: not going to be the case if they're going to 142 00:06:07,920 --> 00:06:10,120 Speaker 6: continue investing this much and spending this much. 143 00:06:10,160 --> 00:06:10,360 Speaker 1: Yeah. 144 00:06:10,400 --> 00:06:13,360 Speaker 2: Even and we saw MetaStock get go down pretty precipitously 145 00:06:13,360 --> 00:06:15,839 Speaker 2: today when when Mark Zuckerberg said they're going to step 146 00:06:15,920 --> 00:06:17,440 Speaker 2: up their capex, yeah, by that degree. 147 00:06:17,480 --> 00:06:18,480 Speaker 3: So that was interesting to see too. 148 00:06:18,480 --> 00:06:19,479 Speaker 5: A little bit of caution there. 149 00:06:19,640 --> 00:06:23,520 Speaker 2: Morgan Stanley out with report recently I just saw today 150 00:06:23,640 --> 00:06:26,840 Speaker 2: saying basically, boy, a lot of things have to break 151 00:06:26,920 --> 00:06:29,840 Speaker 2: right to generate returns on these investments, just writ large 152 00:06:29,839 --> 00:06:30,479 Speaker 2: on the industry. 153 00:06:30,520 --> 00:06:32,560 Speaker 3: A lot of things really got to break right now. 154 00:06:32,640 --> 00:06:35,240 Speaker 5: We don't know what's going to happen tomorrow with airplanes. 155 00:06:34,720 --> 00:06:37,200 Speaker 3: Exactly, you know, exactly, So getting to the airport. 156 00:06:36,960 --> 00:06:39,240 Speaker 4: Aucture and all the things that actually need to work 157 00:06:39,279 --> 00:06:40,719 Speaker 4: for us to be able to get the data centers 158 00:06:40,960 --> 00:06:41,520 Speaker 4: up and running. 159 00:06:42,680 --> 00:06:45,760 Speaker 3: Stay with us. More from Bloomberg Intelligence coming up after this. 160 00:06:49,400 --> 00:06:53,080 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 161 00:06:53,160 --> 00:06:56,279 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 162 00:06:56,279 --> 00:06:59,560 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 163 00:06:59,600 --> 00:07:02,760 Speaker 1: you get your podcasts, or watch us live on YouTube. 164 00:07:03,680 --> 00:07:04,880 Speaker 5: Circle Internet group. 165 00:07:04,960 --> 00:07:08,520 Speaker 6: It's the issuer of the second biggest stable coin, USDC, 166 00:07:08,839 --> 00:07:11,920 Speaker 6: and the shares are tumbling today, down about eight percent. 167 00:07:12,200 --> 00:07:14,520 Speaker 6: And this is on kind of what feels like a 168 00:07:14,520 --> 00:07:18,400 Speaker 6: pretty pedestrian reason. Concerned that lower interest rates will slow profits. 169 00:07:18,920 --> 00:07:20,680 Speaker 6: I mean, that's kind of unusual if you think, you 170 00:07:20,800 --> 00:07:25,360 Speaker 6: know cryptocurrency or crypto linked company with lower interest rates. 171 00:07:25,440 --> 00:07:28,560 Speaker 6: Let's bring in Emily Mason. She is a Bloomberg News 172 00:07:28,640 --> 00:07:30,880 Speaker 6: fintech and crypto reporter, as she joins us now, so 173 00:07:31,600 --> 00:07:34,600 Speaker 6: Emily just explained to us the dynamic here why lower 174 00:07:34,640 --> 00:07:37,760 Speaker 6: interest rates from the Federal Reserve would be a concern 175 00:07:37,960 --> 00:07:40,680 Speaker 6: for a company like Circle. Yeah. 176 00:07:40,680 --> 00:07:44,040 Speaker 7: So Circle issues USDC, and they that's a staple coin 177 00:07:44,120 --> 00:07:46,280 Speaker 7: peg to the US dollar, and they maintain that peg 178 00:07:46,320 --> 00:07:48,920 Speaker 7: by holding reserves in cash and short term treasuries. 179 00:07:49,360 --> 00:07:52,200 Speaker 5: They keep the yield. 180 00:07:51,920 --> 00:07:54,240 Speaker 7: From the treasuries and that's kind of how they make 181 00:07:54,360 --> 00:07:56,440 Speaker 7: money and that's where most of their revenue comes from. 182 00:07:56,480 --> 00:07:59,040 Speaker 7: So if interest rates go down, you know that shows 183 00:07:59,120 --> 00:08:01,960 Speaker 7: up in earnings and that causes some concern for investors 184 00:08:02,000 --> 00:08:02,720 Speaker 7: and analysts. 185 00:08:03,240 --> 00:08:05,080 Speaker 3: So what have their recent results been. 186 00:08:04,960 --> 00:08:08,640 Speaker 7: Like, I mean, this is their second time reporting since 187 00:08:08,680 --> 00:08:13,080 Speaker 7: going public. They benefited heavily from all the hype around 188 00:08:13,080 --> 00:08:15,360 Speaker 7: stable coin, especially before the Genius Act was passed, and 189 00:08:15,400 --> 00:08:16,679 Speaker 7: their stock performed really well. 190 00:08:17,280 --> 00:08:17,840 Speaker 5: It's kind of. 191 00:08:17,840 --> 00:08:22,320 Speaker 7: Been down since their summer highs, and that's kind of 192 00:08:22,520 --> 00:08:24,840 Speaker 7: because of the concern from the interest revenue, but also 193 00:08:25,680 --> 00:08:28,040 Speaker 7: because of some of the distribution partners that they have 194 00:08:28,120 --> 00:08:31,480 Speaker 7: they pay. They have revenue sharing agreements with coinbase, for example, 195 00:08:31,560 --> 00:08:33,560 Speaker 7: who helps distribute their coin. 196 00:08:34,559 --> 00:08:37,560 Speaker 6: So if this company for now is kind of a 197 00:08:37,600 --> 00:08:40,240 Speaker 6: proxy for a money market fund because it's earning's track 198 00:08:40,320 --> 00:08:44,000 Speaker 6: short term treasury yields, it must need to do more 199 00:08:44,040 --> 00:08:45,800 Speaker 6: to diversify its revenue streams. 200 00:08:45,880 --> 00:08:49,000 Speaker 5: What is it looking at? Yeah, that's what they're doing. 201 00:08:49,200 --> 00:08:50,880 Speaker 7: And then if you talk to Jeremy A. Lair who's 202 00:08:50,920 --> 00:08:53,200 Speaker 7: the CEO, he'll kind of say that lower interest rates 203 00:08:53,200 --> 00:08:55,120 Speaker 7: are actually good for the company because it means that 204 00:08:55,160 --> 00:08:58,760 Speaker 7: there's higher velocity of money, there's more investment, and then 205 00:08:58,920 --> 00:09:01,320 Speaker 7: people want faster move money like stable coins, and they 206 00:09:01,320 --> 00:09:04,320 Speaker 7: also might want to use products like their Circle Payments network, 207 00:09:04,320 --> 00:09:07,760 Speaker 7: which recently is experimenting with like a stable coin payouts 208 00:09:07,800 --> 00:09:10,760 Speaker 7: product which like helps people can helps people to pay 209 00:09:10,760 --> 00:09:14,000 Speaker 7: out globally with USDC, and they're trying to move more 210 00:09:14,120 --> 00:09:17,760 Speaker 7: USDC volume onto their own platform instead of working with 211 00:09:17,840 --> 00:09:20,520 Speaker 7: distribution partners like Coinbase, and that kind of could help 212 00:09:20,559 --> 00:09:22,880 Speaker 7: them as well. But they see the lower interest rates 213 00:09:22,880 --> 00:09:26,480 Speaker 7: as a positive thing. And also the USD circulating supply 214 00:09:26,880 --> 00:09:29,840 Speaker 7: is increasing very heavily as they add new partners, so 215 00:09:29,880 --> 00:09:32,959 Speaker 7: that also kind of could potentially offset the lower interest rates. 216 00:09:33,480 --> 00:09:38,679 Speaker 2: Emily, your beat is fintech and crypto reporter, two things 217 00:09:38,760 --> 00:09:42,559 Speaker 2: that didn't exist even just a handfull of years ago. 218 00:09:43,200 --> 00:09:45,880 Speaker 2: Talk to us about broadly the kind of the intersection 219 00:09:46,040 --> 00:09:50,040 Speaker 2: of the growing crypto market and applications like fintech. 220 00:09:51,960 --> 00:09:54,480 Speaker 7: Yeah, I mean, I think what's kind of the most 221 00:09:54,559 --> 00:09:57,560 Speaker 7: interesting right now is like fintech when it came onto 222 00:09:57,600 --> 00:10:01,600 Speaker 7: the scene was sort of like building very interfaces on 223 00:10:01,679 --> 00:10:05,440 Speaker 7: top of his existing financial infrastructure, and then crypto's pitch 224 00:10:05,520 --> 00:10:08,960 Speaker 7: is much more sort of like rebuilding the financial infrastructure 225 00:10:08,960 --> 00:10:12,400 Speaker 7: with things like blockchains, and now the conversation is kind 226 00:10:12,400 --> 00:10:15,480 Speaker 7: of about bringing the traditional world and the traditional financial 227 00:10:15,480 --> 00:10:19,679 Speaker 7: institute infrastructure together with crypto rails and Circles really kind 228 00:10:19,679 --> 00:10:21,840 Speaker 7: of sitting at the center of that and trying to 229 00:10:21,880 --> 00:10:25,640 Speaker 7: bring stave a coin and like integrate that with how 230 00:10:25,679 --> 00:10:30,760 Speaker 7: traditional markets work, and that's involves a coming together on 231 00:10:30,800 --> 00:10:33,680 Speaker 7: both sides, Like traditional firms kind of have to upgrade 232 00:10:33,720 --> 00:10:37,480 Speaker 7: and make their systems interoperable with cryptotechnology, and then crypto 233 00:10:37,480 --> 00:10:40,559 Speaker 7: firms also have to kind of move into a regulated environment. 234 00:10:40,600 --> 00:10:42,560 Speaker 7: And that's been something that Jeremy Alair has talked about 235 00:10:42,559 --> 00:10:44,200 Speaker 7: for a long time, like he really thinks that crypto 236 00:10:44,280 --> 00:10:46,719 Speaker 7: needs to be regulated and Circle that's been a big 237 00:10:46,720 --> 00:10:48,400 Speaker 7: part of their narrative is like we are kind of 238 00:10:48,440 --> 00:10:50,000 Speaker 7: like the suits in the room, and we're going to 239 00:10:50,000 --> 00:10:52,160 Speaker 7: be regulated and that's how we're going to go about 240 00:10:52,160 --> 00:10:52,840 Speaker 7: doing business. 241 00:10:53,120 --> 00:10:55,920 Speaker 5: You're kind of the most tradfy of the DeFi world. 242 00:10:56,040 --> 00:10:59,240 Speaker 6: In other words, if we want to get technical, this 243 00:10:59,280 --> 00:11:01,320 Speaker 6: is going to be a dumb question, Emily, but we've 244 00:11:01,360 --> 00:11:03,840 Speaker 6: seen how Bigcoin and the rest of the cryptocurrencies had 245 00:11:03,840 --> 00:11:07,600 Speaker 6: a pretty rough October. They're struggling to regain momentum. All 246 00:11:07,640 --> 00:11:09,880 Speaker 6: these digital coins are not the same as stable coins. 247 00:11:09,880 --> 00:11:14,839 Speaker 6: But is that shift in sentiment and conviction on bigcoin 248 00:11:15,000 --> 00:11:18,160 Speaker 6: and all coins, especially from institutions, affecting demand it off 249 00:11:18,160 --> 00:11:20,880 Speaker 6: for stable coins or are those two just not linked. 250 00:11:22,440 --> 00:11:23,439 Speaker 5: I mean stable coin. 251 00:11:23,280 --> 00:11:25,240 Speaker 7: Has used a lot of the times, like anytime there's 252 00:11:25,280 --> 00:11:27,520 Speaker 7: a lot of trading happening in crypto like and in 253 00:11:27,559 --> 00:11:30,520 Speaker 7: crypto tokens like stable coins kind of benefit because they're 254 00:11:30,679 --> 00:11:32,760 Speaker 7: used to like move in and out of those markets. 255 00:11:34,320 --> 00:11:36,360 Speaker 7: The stable coin the whole point is that it's like 256 00:11:36,400 --> 00:11:38,679 Speaker 7: a stable currency. It's peged to the dollar, it's one 257 00:11:38,679 --> 00:11:41,720 Speaker 7: for one, so the price of it really shouldn't be 258 00:11:41,720 --> 00:11:43,800 Speaker 7: impacted at all by like crypto market movements. 259 00:11:44,280 --> 00:11:47,880 Speaker 6: But does it does demand affect it or does sorry 260 00:11:47,960 --> 00:11:51,559 Speaker 6: does the spillover involve like demand waning for sable corn 261 00:11:51,679 --> 00:11:52,720 Speaker 6: or increasing for stable coin. 262 00:11:54,000 --> 00:11:56,280 Speaker 7: I think where like the demand growth for stable coin 263 00:11:56,360 --> 00:11:58,679 Speaker 7: is going to come from is like it moving out 264 00:11:58,720 --> 00:12:01,160 Speaker 7: of a tool for just for crypto trading. It's going 265 00:12:01,240 --> 00:12:03,760 Speaker 7: to be like people in countries where the local currency 266 00:12:03,800 --> 00:12:06,240 Speaker 7: is volatile wanting to hold stable coin, or people wanting 267 00:12:06,280 --> 00:12:09,240 Speaker 7: to actually use it for payments or like stable cooin payouts. 268 00:12:09,240 --> 00:12:11,840 Speaker 7: Like if you're a US based company and you're employing 269 00:12:11,840 --> 00:12:13,920 Speaker 7: a bunch of people around the world who want to 270 00:12:13,920 --> 00:12:16,760 Speaker 7: hold a stable currency like the dollar, the stablecoin is 271 00:12:16,760 --> 00:12:18,319 Speaker 7: the best way to access it, then you can pay 272 00:12:18,360 --> 00:12:22,320 Speaker 7: them that way. Like that's where growth from. That's where 273 00:12:22,320 --> 00:12:24,400 Speaker 7: demand for stable coin is going to come from. I 274 00:12:24,400 --> 00:12:27,480 Speaker 7: don't think it's like super tied to the trading necessarily, 275 00:12:27,640 --> 00:12:29,880 Speaker 7: Like people use stablecoin to get in and out of 276 00:12:29,880 --> 00:12:32,640 Speaker 7: crypto markets, so you know, they might see more volume 277 00:12:32,679 --> 00:12:37,559 Speaker 7: of trading activity is high, but their journeys are kind 278 00:12:37,559 --> 00:12:39,200 Speaker 7: of becoming less linked. 279 00:12:40,200 --> 00:12:43,280 Speaker 3: Stay with us or from Bloomberg Intelligence coming up after this. 280 00:12:47,240 --> 00:12:50,920 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us Live 281 00:12:51,000 --> 00:12:54,400 Speaker 1: weekdays at ten am Eastern on Applecarclay, and Android Auto 282 00:12:54,480 --> 00:12:57,560 Speaker 1: with the Bloomberg Business app. Listen on demand wherever you 283 00:12:57,600 --> 00:12:59,800 Speaker 1: get your podcasts, or watch us live. 284 00:13:00,000 --> 00:13:03,120 Speaker 3: I metube all right, whether we like it or not. 285 00:13:03,200 --> 00:13:05,720 Speaker 3: The holidays are up, Honest, scarlet Ful and Paul. 286 00:13:05,520 --> 00:13:07,520 Speaker 2: Sweeney live here in our Bloomberg and Director Broker Studio, 287 00:13:07,600 --> 00:13:09,680 Speaker 2: streaming live on YouTube and with the Holidays of honas 288 00:13:09,679 --> 00:13:13,440 Speaker 2: that means shopping and for retailers. It is obviously the 289 00:13:13,480 --> 00:13:16,160 Speaker 2: most important time of the year kind of right now 290 00:13:16,200 --> 00:13:17,839 Speaker 2: through a year end, so we want to get a 291 00:13:17,880 --> 00:13:20,559 Speaker 2: sense of how that's shaping up for the retailers out there. 292 00:13:20,559 --> 00:13:23,440 Speaker 2: Mary Ross Gilbert, senior equity analyt. She covers the retail 293 00:13:23,440 --> 00:13:28,200 Speaker 2: space for Bloomberg Intelligence. She's based in our Los Angeles office. Mary, 294 00:13:28,240 --> 00:13:29,840 Speaker 2: thanks so much for joining us here. We're, you know, 295 00:13:29,880 --> 00:13:32,080 Speaker 2: kind of right into November, getting into the thick of 296 00:13:32,120 --> 00:13:32,520 Speaker 2: it here. 297 00:13:32,920 --> 00:13:35,679 Speaker 3: How's the holiday shopping season shaping up? What are your 298 00:13:35,679 --> 00:13:36,280 Speaker 3: companies saying? 299 00:13:38,240 --> 00:13:38,920 Speaker 7: Thank you, Paul. 300 00:13:39,160 --> 00:13:42,880 Speaker 8: So, if you look at how the holiday shopping is 301 00:13:42,880 --> 00:13:45,680 Speaker 8: is shaping up, I think it looks I think it 302 00:13:45,720 --> 00:13:48,720 Speaker 8: looks very positive. So I think we are going to 303 00:13:48,720 --> 00:13:52,720 Speaker 8: see an increase and particularly for apparel retailers, that's usually 304 00:13:52,800 --> 00:13:55,679 Speaker 8: like the largest category that consumers. If you look at 305 00:13:55,679 --> 00:13:58,120 Speaker 8: those that have been pulled by all the holiday service 306 00:13:58,880 --> 00:14:02,320 Speaker 8: surveys that have been conducted, including the National Retail Federation, 307 00:14:02,760 --> 00:14:07,320 Speaker 8: and they have over eight hundred over eight eighty two 308 00:14:07,600 --> 00:14:10,920 Speaker 8: hundred respondents in their surveys, and the other ones are 309 00:14:11,280 --> 00:14:15,960 Speaker 8: pretty sizable, you know, relatively speaking, around five thousand. So 310 00:14:16,080 --> 00:14:20,400 Speaker 8: they're showing that there's definitely a higher percentage of shoppers 311 00:14:20,520 --> 00:14:23,520 Speaker 8: wanting at peril and accessories for gifts, So that should 312 00:14:23,560 --> 00:14:27,720 Speaker 8: be good news for apparel. But gen Z is planning 313 00:14:27,800 --> 00:14:32,200 Speaker 8: to cut back on their overall holidays spending by that, 314 00:14:32,960 --> 00:14:36,760 Speaker 8: you know, by twenty three percent. Millennials just one percent. 315 00:14:37,240 --> 00:14:40,520 Speaker 2: Wow, So the gen Z these are the younger folks, 316 00:14:41,240 --> 00:14:45,560 Speaker 2: maybe tougher time finding a job. Maybe, you know, student 317 00:14:45,640 --> 00:14:47,040 Speaker 2: debt is that kind of the driver there. 318 00:14:48,760 --> 00:14:51,280 Speaker 8: Yeah, I think I think that could be part of it. Yeah, 319 00:14:51,400 --> 00:14:54,960 Speaker 8: it could be the job market situation that might be 320 00:14:55,000 --> 00:14:57,800 Speaker 8: happening there because these are really like the seventeen to 321 00:14:57,840 --> 00:15:00,960 Speaker 8: twenty eight year olds. So we I've been hearing some 322 00:15:01,760 --> 00:15:06,240 Speaker 8: you know, talk about some of these latest graduates, you know, 323 00:15:06,360 --> 00:15:08,640 Speaker 8: having a difficulty finding a job. I think it's just 324 00:15:08,640 --> 00:15:12,200 Speaker 8: probably going to take longer because generally unemployment is still 325 00:15:12,360 --> 00:15:15,160 Speaker 8: very low and soon we'll be getting you know, more 326 00:15:15,240 --> 00:15:18,600 Speaker 8: data on that. But we're seeing resilience if you look 327 00:15:18,640 --> 00:15:22,160 Speaker 8: at the data so far with Bloomberg second measure for 328 00:15:22,360 --> 00:15:26,720 Speaker 8: apparel retailers and department stores and off price, we're seeing 329 00:15:26,760 --> 00:15:29,720 Speaker 8: good sales coming in for the third quarter, and they'll 330 00:15:29,720 --> 00:15:33,080 Speaker 8: start reporting their numbers in the next few weeks. So 331 00:15:33,240 --> 00:15:35,240 Speaker 8: I think we're off to a good start, and I 332 00:15:35,240 --> 00:15:39,040 Speaker 8: think Black Friday sales are already happening. Macy's is out 333 00:15:39,080 --> 00:15:42,520 Speaker 8: today with fifty percent off on their private label brand 334 00:15:42,560 --> 00:15:46,400 Speaker 8: product and they expect to have other drops every week. Wow, 335 00:15:46,560 --> 00:15:51,720 Speaker 8: So everyone's focused on starting now yep with promotions. 336 00:15:52,040 --> 00:15:55,600 Speaker 2: So Mary, you know, economists talk about a K shaped 337 00:15:55,600 --> 00:15:58,640 Speaker 2: economy out there, some consumers, maybe the ones that own 338 00:15:58,880 --> 00:16:02,280 Speaker 2: assets like stocks and bonds in real estate, doing more 339 00:16:02,320 --> 00:16:06,200 Speaker 2: than good and kind of everybody else struggling a little bit, 340 00:16:06,240 --> 00:16:07,200 Speaker 2: particularly with inflation. 341 00:16:07,880 --> 00:16:10,120 Speaker 3: How does that get reflected in retail sales? 342 00:16:10,160 --> 00:16:12,920 Speaker 2: Does it mean you just kind of if you're an investor, 343 00:16:12,960 --> 00:16:15,520 Speaker 2: look at on Amazon Target where I can get some 344 00:16:15,520 --> 00:16:16,280 Speaker 2: some some deals. 345 00:16:18,320 --> 00:16:21,080 Speaker 8: Yeah, and that's actually what's happening, and that's why you see, 346 00:16:21,760 --> 00:16:26,560 Speaker 8: let's say, pretty robust sales overall coming out of off price. 347 00:16:26,720 --> 00:16:30,440 Speaker 8: You know, so think of TJ Max, Ross Stores and 348 00:16:30,520 --> 00:16:33,560 Speaker 8: Burlington stores, and Burlington's at the very low end if 349 00:16:33,600 --> 00:16:37,680 Speaker 8: you look at credit card delinquencies or you know, those rates, 350 00:16:38,080 --> 00:16:41,080 Speaker 8: and a lot of these companies that we're tracking represent 351 00:16:41,120 --> 00:16:44,720 Speaker 8: the credit cardholders for like department stores and for some 352 00:16:44,880 --> 00:16:48,920 Speaker 8: select apparel brands such as gap, et cetera. And when 353 00:16:48,960 --> 00:16:52,520 Speaker 8: you look at that data, delinquencies are actually lower this 354 00:16:52,600 --> 00:16:56,840 Speaker 8: year versus a year ago, but not for the very 355 00:16:56,880 --> 00:16:59,640 Speaker 8: low income, which kind of speaks to what you're talking 356 00:16:59,640 --> 00:17:04,640 Speaker 8: about and inflation. Actually, those are up in the teams, 357 00:17:05,040 --> 00:17:08,080 Speaker 8: you know, for the very low income consumer, So think 358 00:17:08,200 --> 00:17:09,400 Speaker 8: like under fifty. 359 00:17:09,119 --> 00:17:10,320 Speaker 3: K yep, yep. 360 00:17:10,680 --> 00:17:14,120 Speaker 2: How about e commerce, Mary, I know the pandemic folks 361 00:17:14,200 --> 00:17:16,600 Speaker 2: are saying, kind of pulled forward maybe four or five 362 00:17:16,680 --> 00:17:20,520 Speaker 2: years of share shift from bricks and mortar to a 363 00:17:20,640 --> 00:17:24,240 Speaker 2: digital what's the e commerce growth story look like these days? 364 00:17:25,280 --> 00:17:28,119 Speaker 8: You know, e com growth is looking strong when we 365 00:17:28,119 --> 00:17:30,280 Speaker 8: look at the data, like I said, for the third 366 00:17:30,359 --> 00:17:34,240 Speaker 8: quarter that we're seeing from Bloomberg second measure, it's showing 367 00:17:34,280 --> 00:17:39,119 Speaker 8: actually online sales were stronger at the department stores except 368 00:17:39,160 --> 00:17:43,719 Speaker 8: for Coals Coals online businesses, I mean not their online business, 369 00:17:43,720 --> 00:17:48,840 Speaker 8: but actually their credit customer is shopping less, like in 370 00:17:48,880 --> 00:17:51,080 Speaker 8: the double digits less, so that's kind of an issue 371 00:17:51,080 --> 00:17:54,960 Speaker 8: for them. But generally we're seeing stronger pool with online 372 00:17:55,000 --> 00:17:59,679 Speaker 8: sales there. Now. There is also a delineation between the 373 00:17:59,720 --> 00:18:03,679 Speaker 8: type of consumer. If it's gen Z, they tend to 374 00:18:03,720 --> 00:18:07,439 Speaker 8: prefer shopping more in store and we see that with 375 00:18:07,920 --> 00:18:12,439 Speaker 8: Abercrombie and Fitch's Hollister brand, so they are about seventy 376 00:18:12,480 --> 00:18:15,640 Speaker 8: percent of their sales are generated online. And then it's 377 00:18:15,760 --> 00:18:20,400 Speaker 8: the inverse when you look at their namesake brand, Abercromby, 378 00:18:20,760 --> 00:18:25,480 Speaker 8: because that consumer is those are millennials, and millennials prefer 379 00:18:25,560 --> 00:18:28,800 Speaker 8: to shop online, so sixty percent of their sales are 380 00:18:28,840 --> 00:18:31,199 Speaker 8: being generated online versus in store. 381 00:18:32,720 --> 00:18:37,399 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 382 00:18:37,600 --> 00:18:41,560 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 383 00:18:41,800 --> 00:18:45,119 Speaker 1: ten am to noon Eastern on Bloomberg dot com, the 384 00:18:45,160 --> 00:18:49,040 Speaker 1: iHeartRadio app, tune In, and the Bloomberg Business app. You 385 00:18:49,040 --> 00:18:52,359 Speaker 1: can also watch us live every weekday on YouTube and 386 00:18:52,560 --> 00:18:54,520 Speaker 1: always on the Bloomberg terminal