1 00:00:02,440 --> 00:00:06,800 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:11,640 --> 00:00:15,440 Speaker 2: This is the Bloomberg Surveillance Podcast. I'm Jonathan Ferrow, along 3 00:00:15,480 --> 00:00:18,680 Speaker 2: with Lisa Bromwitz and Amrie Hortenn. Join us each day 4 00:00:18,720 --> 00:00:22,280 Speaker 2: for insight from the best in markets, economics, and geopolitics 5 00:00:22,400 --> 00:00:24,920 Speaker 2: from our global headquarters in New York City. We are 6 00:00:24,920 --> 00:00:27,680 Speaker 2: live on Bloomberg Television weekday mornings from six to nine 7 00:00:27,720 --> 00:00:31,280 Speaker 2: am Eastern. Subscribe to the podcast on Apple, Spotify or 8 00:00:31,320 --> 00:00:33,960 Speaker 2: anywhere else you listen, and as always on the Bloomberg 9 00:00:34,040 --> 00:00:35,880 Speaker 2: Terminal and the Bloomberg Business app. 10 00:00:36,360 --> 00:00:39,720 Speaker 3: We begin this hour with Michael Green. He is the 11 00:00:39,800 --> 00:00:43,680 Speaker 3: chief strategist at Simplify Asset Management. Michael, thanks for joining 12 00:00:43,760 --> 00:00:45,599 Speaker 3: us here on this Black Friday. We'll let you get 13 00:00:45,600 --> 00:00:47,479 Speaker 3: to shopping in just a second, but I do want 14 00:00:47,520 --> 00:00:49,280 Speaker 3: to start before we get to the broader market. I 15 00:00:49,320 --> 00:00:51,880 Speaker 3: do want to start with cryptocurrency for a big here, 16 00:00:51,920 --> 00:00:54,720 Speaker 3: because this really has been one of the big barometers 17 00:00:54,720 --> 00:00:57,040 Speaker 3: of the risk on sentiment that we've seen over the 18 00:00:57,080 --> 00:00:59,640 Speaker 3: past few weeks. Kind of started even before the election, 19 00:01:00,000 --> 00:01:02,040 Speaker 3: but of course picked up a lot of steam once 20 00:01:02,080 --> 00:01:04,399 Speaker 3: people got a look at what is going to be 21 00:01:04,480 --> 00:01:10,240 Speaker 3: a new Trump administration. In January. You see this momentum continuing, well, I. 22 00:01:10,240 --> 00:01:12,680 Speaker 4: Think the real question is does the buying continue right. 23 00:01:12,720 --> 00:01:15,800 Speaker 5: So, we've seen extraordinary inflows into products like black Rocks, 24 00:01:15,840 --> 00:01:21,240 Speaker 5: Spittwein ETF. We've seen an incredible innovation in Quote's right, 25 00:01:21,319 --> 00:01:25,440 Speaker 5: the classic financial innovation with the single stock ETFs that 26 00:01:25,520 --> 00:01:28,720 Speaker 5: have powered entities like micro Strategy. Over the past month 27 00:01:28,800 --> 00:01:31,800 Speaker 5: or so, those seem to be running out of gas 28 00:01:31,840 --> 00:01:34,720 Speaker 5: and the financing costs associated with them, I think kind 29 00:01:34,720 --> 00:01:37,759 Speaker 5: of give lie to this idea that financial conditions are 30 00:01:37,760 --> 00:01:39,600 Speaker 5: affected in any way, shape or form by what the 31 00:01:39,600 --> 00:01:41,119 Speaker 5: Federal Reserve is doing right now. 32 00:01:41,880 --> 00:01:44,400 Speaker 4: But this is clearly one of these things that is 33 00:01:44,440 --> 00:01:46,080 Speaker 4: indicative of both. 34 00:01:45,880 --> 00:01:49,240 Speaker 5: People's expectations that the craziness is only kind of going 35 00:01:49,280 --> 00:01:52,200 Speaker 5: to accelerate as it relates to government spending or inflation 36 00:01:52,360 --> 00:01:55,480 Speaker 5: or the risks associated with a Trump administration. 37 00:01:55,040 --> 00:01:56,800 Speaker 3: And as people sort of take a look at that, 38 00:01:56,920 --> 00:01:59,240 Speaker 3: Michael and they try to sort of make bets in 39 00:01:59,280 --> 00:02:01,920 Speaker 3: the cryptos, We've seen a lot of people looking for 40 00:02:01,960 --> 00:02:05,440 Speaker 3: proxies to do that. MicroStrategy, of course, was the proxy 41 00:02:05,680 --> 00:02:08,480 Speaker 3: for quite some time. We started to see ETFs come 42 00:02:08,520 --> 00:02:10,720 Speaker 3: into this space, and we started to see more of 43 00:02:10,720 --> 00:02:13,440 Speaker 3: an embrace not only by retail investors, but by the 44 00:02:13,480 --> 00:02:17,160 Speaker 3: institutional set as well. Do you expect that to continue? 45 00:02:17,200 --> 00:02:19,720 Speaker 3: Do you expect the embrace of crypto to be much 46 00:02:19,760 --> 00:02:22,800 Speaker 3: more through these proxy vehicles rather than through the actual 47 00:02:23,240 --> 00:02:24,440 Speaker 3: crypto asset itself. 48 00:02:25,480 --> 00:02:28,040 Speaker 5: Well, I think this actually tells you something about the 49 00:02:28,040 --> 00:02:30,919 Speaker 5: space right which is that there's still is very little 50 00:02:31,040 --> 00:02:35,360 Speaker 5: utility associated with the actual tokens themselves. Ultimately, this idea 51 00:02:35,400 --> 00:02:39,160 Speaker 5: of digitally native securities is incredibly important. It really is 52 00:02:39,200 --> 00:02:42,480 Speaker 5: an incredible innovation to think about changing away from our 53 00:02:42,520 --> 00:02:46,040 Speaker 5: still paper based financial system to one that's really built 54 00:02:46,040 --> 00:02:50,399 Speaker 5: around digitization and securities that are capable of having complex 55 00:02:50,440 --> 00:02:52,280 Speaker 5: instruction sets embedded inside them. 56 00:02:52,840 --> 00:02:54,440 Speaker 4: But right now, we're basically just. 57 00:02:54,360 --> 00:02:57,040 Speaker 5: Trying to build enthusiasm for the space, and that is 58 00:02:57,080 --> 00:02:59,880 Speaker 5: clearly being driven by promotional activity. We see that across 59 00:03:00,080 --> 00:03:03,239 Speaker 5: space everywhere, from Blackrock on down to the extremes of 60 00:03:03,280 --> 00:03:04,120 Speaker 5: the Michael Sailors. 61 00:03:04,600 --> 00:03:07,160 Speaker 6: Well, let's talk a little bit about these micro strategies 62 00:03:07,200 --> 00:03:09,760 Speaker 6: single stock leverage, ETF. So I want to jump right 63 00:03:09,800 --> 00:03:13,280 Speaker 6: into the weeds here, because, as reported by Bloomberg's Wildna Hirich, 64 00:03:13,320 --> 00:03:17,000 Speaker 6: you're seeing this really interesting dynamic where they can't get 65 00:03:17,040 --> 00:03:21,200 Speaker 6: their exposure through swaps anymore. They have to basically tap 66 00:03:21,280 --> 00:03:24,920 Speaker 6: the options market and buy these call options, and there's 67 00:03:24,960 --> 00:03:27,760 Speaker 6: been a lot of concern about that. But I want 68 00:03:27,760 --> 00:03:31,000 Speaker 6: to ask why, what is the end effect on the 69 00:03:31,120 --> 00:03:33,680 Speaker 6: end client or is this more a problem for the issuers? 70 00:03:34,680 --> 00:03:36,840 Speaker 4: So those two separate components associated with it. 71 00:03:36,880 --> 00:03:40,800 Speaker 5: One is it is clearly an issue for the issuers 72 00:03:40,840 --> 00:03:44,480 Speaker 5: themselves in that their prospectuses do not disclose the use 73 00:03:44,480 --> 00:03:48,360 Speaker 5: of options, and so by attempting to maintain their investment 74 00:03:48,400 --> 00:03:51,960 Speaker 5: mandate moving away from swaps into options, they are incurring 75 00:03:52,080 --> 00:03:55,800 Speaker 5: costs and pursuing their investment strategies that are not fully 76 00:03:55,880 --> 00:03:59,280 Speaker 5: disclosed to their investors that potentially creates liability at some 77 00:03:59,360 --> 00:04:00,960 Speaker 5: point in the future or should these. 78 00:04:00,840 --> 00:04:02,080 Speaker 4: Begin to underperform. 79 00:04:02,760 --> 00:04:05,560 Speaker 5: By my calculations, the financing costs are somewhere in the 80 00:04:05,640 --> 00:04:08,720 Speaker 5: range of five to ten percent per month at this point. 81 00:04:08,760 --> 00:04:10,840 Speaker 5: So while we sit here debating the idea should the 82 00:04:10,880 --> 00:04:14,360 Speaker 5: FED cut by twenty five basis points, we're seeing areas 83 00:04:14,400 --> 00:04:17,039 Speaker 5: of the market they're being propelled by speculation with interest 84 00:04:17,080 --> 00:04:20,040 Speaker 5: rates closer to one hundred percent, So it really is 85 00:04:20,080 --> 00:04:22,839 Speaker 5: not anything to do with the FED at this point, 86 00:04:22,920 --> 00:04:25,880 Speaker 5: I would would argue the second issue that you have 87 00:04:26,200 --> 00:04:28,880 Speaker 5: is that financing costs, because it ultimately means that these 88 00:04:28,960 --> 00:04:33,720 Speaker 5: vehicles are facing a bleed associated with a failure of 89 00:04:33,760 --> 00:04:36,159 Speaker 5: those options to go further into the money or deliver 90 00:04:36,279 --> 00:04:40,320 Speaker 5: against their volatility. That means that the carrying costs of 91 00:04:40,360 --> 00:04:42,960 Speaker 5: these products are also in that kind of five percent 92 00:04:43,040 --> 00:04:47,800 Speaker 5: plus ten percent area, meaning that the bitcoin market and 93 00:04:47,880 --> 00:04:50,800 Speaker 5: the micro strategy market has to continue to rise it 94 00:04:50,880 --> 00:04:53,000 Speaker 5: nearly one hundred percent a year in order for these 95 00:04:53,000 --> 00:04:56,320 Speaker 5: products to break even. That's a very you know, that 96 00:04:56,400 --> 00:05:00,159 Speaker 5: is an incredible headwind, and a lot of the behavior 97 00:05:00,200 --> 00:05:03,880 Speaker 5: that we're seeing in these in these single stock levered ETFs, 98 00:05:04,440 --> 00:05:06,599 Speaker 5: I think ultimately we're going to find out we'll be 99 00:05:06,640 --> 00:05:10,760 Speaker 5: treated as various forms of manipulation, and in all likelihood 100 00:05:10,800 --> 00:05:12,599 Speaker 5: we'll see this stuff pulled off the market at some 101 00:05:12,640 --> 00:05:13,400 Speaker 5: point in the future. 102 00:05:13,560 --> 00:05:15,680 Speaker 1: Well, we'll see that would certainly be dramatic. 103 00:05:15,760 --> 00:05:19,080 Speaker 6: But to put it simply, of course, these are not 104 00:05:19,240 --> 00:05:21,039 Speaker 6: meant to be buy and hold investments. 105 00:05:21,120 --> 00:05:22,919 Speaker 1: The issuers themselves would tell you that. 106 00:05:23,040 --> 00:05:25,240 Speaker 6: But I want to talk to about the relationship between 107 00:05:25,279 --> 00:05:28,719 Speaker 6: these leveraged single stock micro strategy ets and what it 108 00:05:28,800 --> 00:05:32,520 Speaker 6: means for the actual micro Strategy underlying stock because you 109 00:05:32,520 --> 00:05:35,760 Speaker 6: see micro Strategy treating at a record premium I believe 110 00:05:35,800 --> 00:05:39,080 Speaker 6: to bitcoin itself, and there are some theories out there 111 00:05:39,160 --> 00:05:42,080 Speaker 6: that it's actually these leverage single stock vehicles that are 112 00:05:42,160 --> 00:05:42,640 Speaker 6: driving that. 113 00:05:43,720 --> 00:05:45,520 Speaker 5: Yeah, I don't think there's any question about that. If 114 00:05:45,560 --> 00:05:50,680 Speaker 5: you look at the increasing premium that occurred. It happened 115 00:05:50,720 --> 00:05:54,159 Speaker 5: almost simultaneously with the launch of the largest of these 116 00:05:54,240 --> 00:05:59,240 Speaker 5: levered ETFs, MSTU being the ticker there. That actually very 117 00:05:59,240 --> 00:06:04,720 Speaker 5: clearly power or the separation. There's very little to actually 118 00:06:04,720 --> 00:06:07,840 Speaker 5: debate around that. That's allowed it to push itself beyond Bitcoin. Now, 119 00:06:07,839 --> 00:06:11,200 Speaker 5: what that's created is something similar to what happened with 120 00:06:11,400 --> 00:06:14,520 Speaker 5: gray scale bitcoin trusts a year ago, in which are 121 00:06:14,560 --> 00:06:17,280 Speaker 5: two years ago, in which a premium that it developed 122 00:06:17,279 --> 00:06:20,040 Speaker 5: for grey scale bitcoin trust created demand for bitcoin. 123 00:06:20,680 --> 00:06:22,279 Speaker 4: This is working almost in reverse. 124 00:06:22,320 --> 00:06:25,400 Speaker 5: The premium for micro Strategy is leading to micro Strategy 125 00:06:25,440 --> 00:06:28,880 Speaker 5: being able to issue shares and in turn by bitcoin. 126 00:06:29,240 --> 00:06:31,640 Speaker 5: It's a far less direct route, but it's the same 127 00:06:31,720 --> 00:06:35,279 Speaker 5: underlying effect that continues to power both both the stock 128 00:06:35,400 --> 00:06:36,200 Speaker 5: and the coin. 129 00:06:36,320 --> 00:06:37,680 Speaker 4: The token higher at. 130 00:06:37,520 --> 00:06:40,240 Speaker 3: This point and just real quickly Michael I am curious 131 00:06:40,240 --> 00:06:42,279 Speaker 3: that when we start, we're talking about this in the 132 00:06:42,279 --> 00:06:45,839 Speaker 3: context specifically within the cryptosphere to some of that optimism mode. 133 00:06:45,880 --> 00:06:48,000 Speaker 3: Does that bleed out into the broader market? I mean, 134 00:06:48,040 --> 00:06:50,000 Speaker 3: can we take cues from what's going on in the 135 00:06:50,040 --> 00:06:51,799 Speaker 3: cryptosphere for the rest of the market. 136 00:06:52,680 --> 00:06:54,800 Speaker 5: I think it's hard not to assume that there are 137 00:06:54,800 --> 00:06:57,719 Speaker 5: going to be implications associated with this, right, So you 138 00:06:57,800 --> 00:07:00,920 Speaker 5: have individuals who are investors in bitcoin who are feeling 139 00:07:00,960 --> 00:07:04,320 Speaker 5: flush in the environment that will lead to them increasing 140 00:07:04,400 --> 00:07:06,080 Speaker 5: their purchasing activity, et cetera. 141 00:07:06,160 --> 00:07:08,159 Speaker 4: So there are real world feedbacks to this. 142 00:07:08,640 --> 00:07:11,040 Speaker 5: There's also very real world feedbacks and the kind of 143 00:07:11,040 --> 00:07:15,559 Speaker 5: the classic George Soros reflexivity component. This type of price 144 00:07:15,640 --> 00:07:19,920 Speaker 5: activity facilitates micro strategy going out and raising real cash 145 00:07:19,960 --> 00:07:22,760 Speaker 5: in the form of convertible debt, which is more issuance 146 00:07:22,800 --> 00:07:25,560 Speaker 5: of shares, which in turn is used to purchase that bitcoin. 147 00:07:26,400 --> 00:07:28,840 Speaker 5: They could theoretically hold on to that cash and use 148 00:07:28,880 --> 00:07:31,680 Speaker 5: it for alternative corporate purchases, as we saw with stocks 149 00:07:31,720 --> 00:07:36,680 Speaker 5: like GameStop or with MC Entertainment. So far, Sailor seems 150 00:07:36,720 --> 00:07:38,640 Speaker 5: to be much more aggressive in this process. 151 00:07:38,760 --> 00:07:40,640 Speaker 3: All right, Michael, great stuff, going to leave it. There 152 00:07:40,720 --> 00:07:43,200 Speaker 3: have a wonderful rest of your week and weekend. Michael 153 00:07:43,240 --> 00:07:45,600 Speaker 3: Green over at Simplify Asset Management. 154 00:07:55,560 --> 00:07:57,800 Speaker 1: Let's keep the conversation going with Jill Sanders. 155 00:07:57,880 --> 00:08:00,840 Speaker 6: She is head of retail over at it Center Global, 156 00:08:00,960 --> 00:08:02,360 Speaker 6: joining us now and Jill, I want to go to 157 00:08:02,400 --> 00:08:05,080 Speaker 6: this line in your notes. You're right that retailers have 158 00:08:05,200 --> 00:08:09,600 Speaker 6: good reason to be cautiously optimistic, which is interesting because 159 00:08:09,640 --> 00:08:12,720 Speaker 6: we talk about all of these headwinds potentially coming at 160 00:08:12,760 --> 00:08:14,040 Speaker 6: retailers next year. 161 00:08:14,400 --> 00:08:16,400 Speaker 1: What is the case for optimism right now? 162 00:08:17,400 --> 00:08:20,880 Speaker 7: Well, in our survey, which we did right before a holiday, 163 00:08:20,920 --> 00:08:23,320 Speaker 7: basically people said they're going to spend upwards of four 164 00:08:23,360 --> 00:08:26,200 Speaker 7: percent more this year compared to last year. So that's 165 00:08:26,240 --> 00:08:30,080 Speaker 7: the optimism. The causes is about the fact that everyone's 166 00:08:30,120 --> 00:08:32,160 Speaker 7: looking for a deal. I mean, you heard any other 167 00:08:32,200 --> 00:08:35,600 Speaker 7: correspondence point everyone's out there for Black Friday because they 168 00:08:35,640 --> 00:08:37,040 Speaker 7: know that there's sales. 169 00:08:36,720 --> 00:08:38,720 Speaker 1: On today, sales on today. 170 00:08:38,760 --> 00:08:42,000 Speaker 6: But we were joking earlier that Black Friday it's really 171 00:08:42,000 --> 00:08:42,680 Speaker 6: a state of mind. 172 00:08:42,720 --> 00:08:43,600 Speaker 1: It never ends. 173 00:08:43,720 --> 00:08:46,640 Speaker 6: I was actually out and about on Tuesday getting great 174 00:08:46,640 --> 00:08:49,599 Speaker 6: deals as well. I mean this bleeding out of the 175 00:08:50,280 --> 00:08:53,240 Speaker 6: bounds of Black Friday. What does that ultimately mean for 176 00:08:53,320 --> 00:08:56,480 Speaker 6: retailers because it seems like it's just persistent discounting. 177 00:08:57,360 --> 00:08:59,680 Speaker 7: Well, Listen, agility is being put to the test this 178 00:08:59,800 --> 00:09:03,960 Speaker 7: year because shoppers have only one less week compared to 179 00:09:04,040 --> 00:09:08,080 Speaker 7: last year because it's where Thanksgiving fell. So retailers are 180 00:09:08,120 --> 00:09:10,040 Speaker 7: really smart. They said, listen, I'm going to start doing 181 00:09:10,040 --> 00:09:12,200 Speaker 7: my discounting early so I can get people to start 182 00:09:12,280 --> 00:09:13,000 Speaker 7: shopping early. 183 00:09:13,559 --> 00:09:13,959 Speaker 4: And listen. 184 00:09:14,040 --> 00:09:16,439 Speaker 7: AI has been on the pitch for a long time 185 00:09:16,520 --> 00:09:19,280 Speaker 7: in retail where retailers were planning out when to put 186 00:09:19,400 --> 00:09:23,160 Speaker 7: things on sale so that hopefully will help them make 187 00:09:23,200 --> 00:09:26,600 Speaker 7: sure that they don't lose margin over this period. It's 188 00:09:26,640 --> 00:09:29,760 Speaker 7: all being worked out through advanced technology, which is great 189 00:09:29,800 --> 00:09:30,360 Speaker 7: to see. 190 00:09:30,640 --> 00:09:34,119 Speaker 3: I'm curious just about how much some of these retailers 191 00:09:34,120 --> 00:09:37,400 Speaker 3: can sort of prod the consumer into buying certain things. 192 00:09:37,440 --> 00:09:39,000 Speaker 3: I mean, some of us, Jill, we have a hard 193 00:09:39,000 --> 00:09:42,200 Speaker 3: time figuring out what to buy people, what the buy 194 00:09:42,559 --> 00:09:44,920 Speaker 3: for our loved ones, you know, what gifts do they 195 00:09:44,960 --> 00:09:47,280 Speaker 3: really want? And I know some retailers have taken a 196 00:09:47,280 --> 00:09:50,040 Speaker 3: more creative approach kind of to really put out these 197 00:09:50,040 --> 00:09:53,440 Speaker 3: gifts guys and create other experiences whether they're in their store, 198 00:09:53,880 --> 00:09:56,080 Speaker 3: to sort of plant those seeds in your head, probably 199 00:09:56,080 --> 00:09:58,640 Speaker 3: for the more expensive stuff, but still, what are they doing? 200 00:09:59,640 --> 00:10:03,719 Speaker 7: Yeah, listen, this year is the year of curation and recommendation. 201 00:10:04,880 --> 00:10:08,000 Speaker 7: Retailers know that people are getting inspiration from all different sources. 202 00:10:08,000 --> 00:10:12,440 Speaker 7: Whether that's Instagram or Meta or Facebook, you name it. 203 00:10:12,520 --> 00:10:15,200 Speaker 7: There's a bunch of places where people are getting suggestion. 204 00:10:15,960 --> 00:10:19,120 Speaker 7: Some of the curation is happening not just in the 205 00:10:19,200 --> 00:10:22,280 Speaker 7: store with really smart people working the store saying here's 206 00:10:22,280 --> 00:10:25,800 Speaker 7: what you should buy. It's also happening with technology. So 207 00:10:26,000 --> 00:10:29,200 Speaker 7: think about if you're online and all of a sudden, 208 00:10:29,240 --> 00:10:31,640 Speaker 7: this little pop up comes that says, hey, do you 209 00:10:31,720 --> 00:10:34,600 Speaker 7: need any help? Who are you buying for? What are 210 00:10:34,600 --> 00:10:38,480 Speaker 7: you looking for? What's your budget? Those types of recommendations 211 00:10:38,559 --> 00:10:41,000 Speaker 7: is going to be what the future looks like in retail. 212 00:10:41,400 --> 00:10:44,320 Speaker 7: So instead of you trying to search, people are trying 213 00:10:44,320 --> 00:10:45,600 Speaker 7: to help you, trying to make. 214 00:10:45,520 --> 00:10:46,160 Speaker 4: It easier on you. 215 00:10:46,760 --> 00:10:49,760 Speaker 3: I am curious too with regards to physical stores and 216 00:10:49,800 --> 00:10:51,559 Speaker 3: the idea of a lot of these physical stores trying 217 00:10:51,600 --> 00:10:54,199 Speaker 3: to find ways to get people back in. We were 218 00:10:54,280 --> 00:10:57,000 Speaker 3: just checking in with Macy's in Harold Square here in 219 00:10:57,000 --> 00:10:59,240 Speaker 3: New York, which of course just really decks out a store. 220 00:10:59,320 --> 00:11:01,280 Speaker 3: I mean, you go to that store just to see 221 00:11:01,280 --> 00:11:03,600 Speaker 3: the displays and hopefully you buy something along the way. 222 00:11:03,800 --> 00:11:06,920 Speaker 3: I know Bloomingdale's right across from Bloomberg headquarters here also 223 00:11:06,960 --> 00:11:10,000 Speaker 3: has these pretty expansive displays. Are we seeing these stores 224 00:11:10,320 --> 00:11:12,600 Speaker 3: embrace that more because there have been some stores that 225 00:11:12,600 --> 00:11:14,600 Speaker 3: said they're actually pulling back. Sach said they're not doing 226 00:11:14,600 --> 00:11:15,840 Speaker 3: their normal light show this year. 227 00:11:16,559 --> 00:11:19,240 Speaker 7: Yeah, you know, stores are back this year, which is fantastic. 228 00:11:20,080 --> 00:11:22,559 Speaker 7: You heard that stat that said there's a bunch of 229 00:11:22,600 --> 00:11:24,640 Speaker 7: folks that are going to be shopping in stores this year, 230 00:11:24,679 --> 00:11:28,520 Speaker 7: and so there is that retail shopping fund where you 231 00:11:28,559 --> 00:11:30,520 Speaker 7: get together with your friends and you go to the stores. 232 00:11:30,880 --> 00:11:32,960 Speaker 7: It's not so much about the decorations as much as 233 00:11:33,000 --> 00:11:36,680 Speaker 7: it is about that feeling on Black Friday over Cyber Monday, 234 00:11:36,720 --> 00:11:39,160 Speaker 7: going in and going shopping. I think the key for 235 00:11:39,240 --> 00:11:43,199 Speaker 7: retailers this year is going to be all about again curation, recommendation, 236 00:11:43,480 --> 00:11:46,720 Speaker 7: and then let's not forget the store staff. Frontline workers 237 00:11:46,800 --> 00:11:49,959 Speaker 7: have been really part of the equation. I always say, 238 00:11:49,960 --> 00:11:53,360 Speaker 7: you can have the best discount, the best promotions, the 239 00:11:53,400 --> 00:11:56,440 Speaker 7: best curation, the best assortment, but if that person behind 240 00:11:56,440 --> 00:11:58,960 Speaker 7: the till is not in a good mood, it could 241 00:11:59,000 --> 00:12:02,440 Speaker 7: really really change your opinion of that retailer. So frontline 242 00:12:02,440 --> 00:12:04,839 Speaker 7: work is is also something that retailers are taking care 243 00:12:04,880 --> 00:12:05,360 Speaker 7: of this year. 244 00:12:05,559 --> 00:12:08,160 Speaker 1: Yeah, it's a great point that service matters. 245 00:12:08,200 --> 00:12:09,600 Speaker 6: I want to go to another line in your note 246 00:12:09,600 --> 00:12:12,319 Speaker 6: because I thought this was interesting that retailers are focusing 247 00:12:12,760 --> 00:12:17,360 Speaker 6: on inspirational content, which actually can improve sales according to 248 00:12:17,400 --> 00:12:17,800 Speaker 6: your data. 249 00:12:17,920 --> 00:12:20,120 Speaker 1: What is inspirational content though? 250 00:12:21,160 --> 00:12:23,800 Speaker 7: Well, listen, I talked a little bit about AI, and 251 00:12:23,920 --> 00:12:27,360 Speaker 7: AI has been used a lot of times with figuring 252 00:12:27,400 --> 00:12:30,360 Speaker 7: out again your assortment, figuring out how that's to make 253 00:12:30,400 --> 00:12:32,600 Speaker 7: sure that the supply is right, also how to get 254 00:12:32,600 --> 00:12:33,480 Speaker 7: it to the store. 255 00:12:34,120 --> 00:12:34,600 Speaker 4: And then of. 256 00:12:34,559 --> 00:12:37,880 Speaker 7: Course you're using all sorts of AI for doing curation 257 00:12:38,280 --> 00:12:42,840 Speaker 7: around your ads and your promotions. But now because of 258 00:12:42,880 --> 00:12:46,800 Speaker 7: advanced technology, now the way that you advertise is also 259 00:12:46,880 --> 00:12:50,680 Speaker 7: being inspirational, so you can have more tailored advertising to 260 00:12:50,760 --> 00:12:54,319 Speaker 7: consumers now, which is fantastic a lot because of gen AI. 261 00:12:55,080 --> 00:13:02,000 Speaker 7: So that's what I mean by inspirational and also gift ideas, suggestions, recommendations. 262 00:13:02,080 --> 00:13:05,000 Speaker 4: That's on the pitch this year. It's the year of curation. 263 00:13:06,360 --> 00:13:08,640 Speaker 7: You know. I always like to say where do people 264 00:13:08,679 --> 00:13:11,320 Speaker 7: get their inspiration. Do they get it from, you know, 265 00:13:11,400 --> 00:13:13,760 Speaker 7: looking at Instagram? Do they get it from going on 266 00:13:13,800 --> 00:13:17,160 Speaker 7: the website of the retailer. Most retailers are saying, listen, 267 00:13:17,200 --> 00:13:19,839 Speaker 7: I've got to play a big role of making sure 268 00:13:19,880 --> 00:13:21,240 Speaker 7: that eyeballs. 269 00:13:20,640 --> 00:13:23,040 Speaker 4: Come to my website. How do I get them there? 270 00:13:23,480 --> 00:13:26,199 Speaker 7: Maybe I do have some ads on Instagram to get 271 00:13:26,200 --> 00:13:28,000 Speaker 7: you to click through to come to my website. 272 00:13:28,120 --> 00:13:31,679 Speaker 3: Absolutely all about tantalizing folks. Jill Standish over at at 273 00:13:31,720 --> 00:13:32,600 Speaker 3: a Centric. 274 00:13:42,280 --> 00:13:44,520 Speaker 1: Let's keep the conversation going now with Judy Dempsey. 275 00:13:44,600 --> 00:13:47,959 Speaker 6: She is non Resident Senior Fellow for Carnegie Europe, joining 276 00:13:48,040 --> 00:13:49,439 Speaker 6: us now and it's great to. 277 00:13:49,360 --> 00:13:53,000 Speaker 1: Have you with us. Judy put us into the shoes. 278 00:13:52,559 --> 00:13:56,760 Speaker 6: Of European leadership right now, confronting the possibility of less 279 00:13:56,800 --> 00:14:01,160 Speaker 6: American support for Ukraine, the possibility of increased terriffs here. 280 00:14:01,480 --> 00:14:02,719 Speaker 1: How does one prepare for that? 281 00:14:04,880 --> 00:14:07,760 Speaker 8: It's very difficult. I mean, there's so many own predictabilities. 282 00:14:07,800 --> 00:14:11,600 Speaker 8: But clearly the present elect Trump wants to move very quickly. 283 00:14:11,679 --> 00:14:16,040 Speaker 8: He's actually chosen former general to be his envoid, General 284 00:14:16,440 --> 00:14:19,480 Speaker 8: Kellog to be the special envoy in Ukraine who will 285 00:14:19,520 --> 00:14:22,760 Speaker 8: try to conduct negotiations. But the Europeans they say they 286 00:14:22,840 --> 00:14:24,720 Speaker 8: want to say the table, will I'm not so sure 287 00:14:24,720 --> 00:14:27,400 Speaker 8: they're going to get one. And secondly, if the Trump 288 00:14:27,440 --> 00:14:31,600 Speaker 8: administration does actually reduce its military support for Ukraine, will 289 00:14:31,640 --> 00:14:34,680 Speaker 8: the Europeans be ready. There's a shortage of material already. 290 00:14:35,000 --> 00:14:37,400 Speaker 8: Some countries such as the Nordic countries are supplying as 291 00:14:37,480 --> 00:14:40,720 Speaker 8: much as they can, and some other countries are running short, 292 00:14:40,920 --> 00:14:43,360 Speaker 8: and some other countries of the EU are a little 293 00:14:43,400 --> 00:14:47,480 Speaker 8: bit reluctant, so they're not really prepared, but they have 294 00:14:47,600 --> 00:14:51,640 Speaker 8: been warned of the day after when Donald Trump enters 295 00:14:51,640 --> 00:14:53,920 Speaker 8: the White House, and maybe Ukraine is depending on the 296 00:14:53,960 --> 00:14:56,960 Speaker 8: Europeans for more military support. It's going to be very 297 00:14:56,960 --> 00:14:58,600 Speaker 8: difficult to muster this very quickly. 298 00:14:59,080 --> 00:15:01,120 Speaker 6: And we'll talk about the past stability of tariffs here 299 00:15:01,160 --> 00:15:03,680 Speaker 6: because you know, we make jokes about French wine and 300 00:15:03,800 --> 00:15:06,880 Speaker 6: German cars for example, but you think about the balance 301 00:15:06,960 --> 00:15:10,760 Speaker 6: of the European economy right now, and particularly the car 302 00:15:10,840 --> 00:15:14,680 Speaker 6: industry for example, which has been under some pressure here, I. 303 00:15:14,640 --> 00:15:17,680 Speaker 1: Mean, how much would tariffs hurt? How should we be 304 00:15:17,720 --> 00:15:18,520 Speaker 1: thinking about that? 305 00:15:20,360 --> 00:15:26,520 Speaker 8: Parents are an enormous worry for the outgoing German government 306 00:15:26,520 --> 00:15:29,680 Speaker 8: particularly and the incoming one whoever that will be The 307 00:15:30,080 --> 00:15:35,240 Speaker 8: real issue is that Donald Trump has a kind of 308 00:15:35,960 --> 00:15:39,920 Speaker 8: difficult relationship with Germany. He sort of resents its huge 309 00:15:39,920 --> 00:15:43,920 Speaker 8: expert circlus and the tariffs ten percent tariff is very 310 00:15:44,040 --> 00:15:48,400 Speaker 8: very high. At the moment, trade between the Eurozone and 311 00:15:48,440 --> 00:15:50,840 Speaker 8: the United States is about weakness. To got four hundred 312 00:15:50,840 --> 00:15:53,520 Speaker 8: and fifty billion a year, and this has actually increased 313 00:15:53,600 --> 00:15:57,480 Speaker 8: over the COVID times when trade with between Europe and 314 00:15:57,840 --> 00:16:02,520 Speaker 8: China sort of declined. The Europeans are increasingly relying on 315 00:16:02,560 --> 00:16:05,560 Speaker 8: the US market. So you slap tariffs on and you 316 00:16:05,600 --> 00:16:07,760 Speaker 8: still want to export, it's going to be very, very 317 00:16:07,760 --> 00:16:08,480 Speaker 8: difficult for them. 318 00:16:08,960 --> 00:16:09,960 Speaker 1: The other key. 319 00:16:09,800 --> 00:16:15,280 Speaker 8: Point is that how the German automobile industry will react. 320 00:16:15,440 --> 00:16:18,920 Speaker 8: We've seen announced closures in Volkswagen, We've seen the steel 321 00:16:18,960 --> 00:16:21,680 Speaker 8: industry going to lay off six or seven thousand workers. 322 00:16:21,880 --> 00:16:26,160 Speaker 8: What will happen to avoid tariffs? German manufacturer who will 323 00:16:26,200 --> 00:16:28,640 Speaker 8: probably go over to the United States, which is exactly 324 00:16:28,960 --> 00:16:32,160 Speaker 8: what Johnald Trump would like. But if that happens, it 325 00:16:32,200 --> 00:16:34,960 Speaker 8: could have a negative spin off effect for the economies 326 00:16:35,000 --> 00:16:37,640 Speaker 8: of Europe because we've mean more job losses and probably 327 00:16:37,720 --> 00:16:38,440 Speaker 8: less competition. 328 00:16:38,760 --> 00:16:42,080 Speaker 3: Judy, I'm curious. I'm not unsympathetic to the challenges that 329 00:16:42,160 --> 00:16:46,080 Speaker 3: Europe faces in the face of a new Donald Trump administration. 330 00:16:46,440 --> 00:16:48,600 Speaker 3: But there are a lot of questions, at least from 331 00:16:48,640 --> 00:16:51,880 Speaker 3: the US lens as so why Europe wasn't better prepared 332 00:16:51,960 --> 00:16:54,400 Speaker 3: for this. They've had time, they knew this was a 333 00:16:54,400 --> 00:16:57,960 Speaker 3: big possibility, and now here we are talking about what, 334 00:16:58,280 --> 00:17:01,680 Speaker 3: at least on the contour, seems like a surprise to them. 335 00:17:02,480 --> 00:17:05,520 Speaker 8: You're talking in the sense of the Ukraine issue. 336 00:17:05,760 --> 00:17:08,520 Speaker 3: A Ukraine issue terrafs everything. 337 00:17:08,760 --> 00:17:13,320 Speaker 8: Yes, their cries. Yes, to use a terrible phrase, the 338 00:17:13,320 --> 00:17:17,040 Speaker 8: writing has been on the wall. But the Europeans, they 339 00:17:17,040 --> 00:17:20,080 Speaker 8: do talk an awful lot, and they talk about competitiveness 340 00:17:20,160 --> 00:17:25,320 Speaker 8: and diversification from China, but they are really not prepared 341 00:17:25,359 --> 00:17:26,119 Speaker 8: for the tariffs. 342 00:17:26,880 --> 00:17:28,800 Speaker 1: Firstly. Secondly, I think. 343 00:17:29,000 --> 00:17:33,040 Speaker 8: We really have to remember that the European economies are 344 00:17:33,119 --> 00:17:36,399 Speaker 8: not only going to be hit by the tariffs, they 345 00:17:36,440 --> 00:17:40,040 Speaker 8: are actually going through a period of d industrialization as 346 00:17:40,080 --> 00:17:44,360 Speaker 8: a lot of fast pace, largely because of the China influence. 347 00:17:44,480 --> 00:17:46,880 Speaker 8: Of course China has done to the electric cars, for instance, 348 00:17:47,200 --> 00:17:51,840 Speaker 8: but also the whole element of digitization AI and others use. 349 00:17:51,960 --> 00:17:55,440 Speaker 8: The Europeans have incredibly slow to embrace these and that's 350 00:17:55,480 --> 00:17:59,960 Speaker 8: another contributing factor for being unprepared for this new kind 351 00:17:59,960 --> 00:18:01,480 Speaker 8: of transatlantic relationship. 352 00:18:01,560 --> 00:18:05,720 Speaker 3: And it raises another question too about just how common, 353 00:18:05,800 --> 00:18:08,960 Speaker 3: if you will, the common Eurozone is. I mean, this 354 00:18:09,040 --> 00:18:11,199 Speaker 3: is a collection of countries that I don't think have 355 00:18:11,320 --> 00:18:14,440 Speaker 3: really acted in commonality for quite some time. I don't 356 00:18:14,440 --> 00:18:16,439 Speaker 3: think they ever did, but they at least managed to 357 00:18:16,440 --> 00:18:18,119 Speaker 3: put up a good facade for some time. But I 358 00:18:18,160 --> 00:18:20,480 Speaker 3: think we've seen with regards to the Russians in France, 359 00:18:20,520 --> 00:18:22,920 Speaker 3: Germany and of course what's going on in the Eastern Europe, 360 00:18:23,240 --> 00:18:25,159 Speaker 3: that there just isn't a lot of consensus. So how 361 00:18:25,160 --> 00:18:26,240 Speaker 3: do you get to a solution. 362 00:18:29,840 --> 00:18:33,119 Speaker 8: It's very difficult. And what we've seen over the last 363 00:18:33,400 --> 00:18:37,119 Speaker 8: say ten years is the increasing role of the member states. 364 00:18:37,400 --> 00:18:40,280 Speaker 8: This is the role of the Executive, the European Commission, 365 00:18:40,720 --> 00:18:43,640 Speaker 8: and now the member states for this, France, for this, Germany, 366 00:18:43,680 --> 00:18:46,680 Speaker 8: for the the Netherlands, where the Supportic countries. They're all 367 00:18:46,800 --> 00:18:49,400 Speaker 8: looking after the national interests. And if you look after 368 00:18:49,480 --> 00:18:53,200 Speaker 8: national interests, you actually downgrade or make the whole idea 369 00:18:53,320 --> 00:18:56,400 Speaker 8: of the European Union weaker. There's no talk any more 370 00:18:56,400 --> 00:18:59,800 Speaker 8: about integration, there's not even any discussion. But what's really 371 00:18:59,840 --> 00:19:04,159 Speaker 8: necessary is completing monetary unions such as a banking union, 372 00:19:04,520 --> 00:19:07,560 Speaker 8: and so in some ways the European Union as an 373 00:19:07,600 --> 00:19:12,240 Speaker 8: economic project and as a political project has really slowed down, 374 00:19:12,480 --> 00:19:15,760 Speaker 8: and there's no leadership either in Berlin or Paris and 375 00:19:15,880 --> 00:19:19,359 Speaker 8: other countries to say, let's put our national interest behind 376 00:19:19,440 --> 00:19:22,360 Speaker 8: us and try to integrate the European Union further so 377 00:19:22,400 --> 00:19:25,440 Speaker 8: that we can deal with the new challenges coming from Washington, 378 00:19:25,560 --> 00:19:27,840 Speaker 8: from China and of course Russia and India. 379 00:19:28,400 --> 00:19:29,760 Speaker 1: All right, Judy got to leave it there. 380 00:19:29,800 --> 00:19:32,080 Speaker 6: I really appreciate you taking the time great to get 381 00:19:32,119 --> 00:19:32,879 Speaker 6: your perspective. 382 00:19:32,880 --> 00:19:35,840 Speaker 1: That is Julie Densey of Carnegie Europe. 383 00:19:36,320 --> 00:19:39,840 Speaker 2: This is the Bloomberg Surveillance Podcast, bringing you the best 384 00:19:39,920 --> 00:19:43,480 Speaker 2: in markets, economics, angiopolitics. You can watch the show live 385 00:19:43,560 --> 00:19:46,520 Speaker 2: on Bloomberg TV weekday mornings from six am to nine 386 00:19:46,600 --> 00:19:50,359 Speaker 2: am Eastern. Subscribe to the podcast on Apple, Spotify or 387 00:19:50,359 --> 00:19:52,960 Speaker 2: anywhere else you listen, and as always on the Bloomberg 388 00:19:53,040 --> 00:19:54,880 Speaker 2: Terminal and the Bloomberg Business out