1 00:00:05,800 --> 00:00:08,720 Speaker 1: Welcome to the Bloomberg p m L Podcast. I'm Pim Fox. 2 00:00:08,760 --> 00:00:11,520 Speaker 1: Along with my co host Lisa Abramowitz. Each day we 3 00:00:11,640 --> 00:00:15,120 Speaker 1: bring you the most important, noteworthy, and useful interviews for 4 00:00:15,200 --> 00:00:17,840 Speaker 1: you and your money, whether you're at the grocery store 5 00:00:17,960 --> 00:00:20,720 Speaker 1: or the trading floor. Find the Bloomberg p m L 6 00:00:20,840 --> 00:00:30,280 Speaker 1: Podcast on Apple Podcasts, SoundCloud, and Bloomberg dot com. Peter 7 00:00:30,400 --> 00:00:35,199 Speaker 1: Krauss led Alliance Bernstein through the heart of the financial crisis. 8 00:00:35,200 --> 00:00:38,519 Speaker 1: He was chairman and CEO of the big asset management 9 00:00:38,520 --> 00:00:41,519 Speaker 1: firm from two thousand and eight through last year, and 10 00:00:41,600 --> 00:00:45,160 Speaker 1: now he is starting his own firm. We are broadcasting 11 00:00:45,200 --> 00:00:48,600 Speaker 1: live from Bloomberg Directive Broger Studios, and Peter Krause joins 12 00:00:48,680 --> 00:00:51,000 Speaker 1: us right here. Peter, thank you so much for being here. 13 00:00:51,200 --> 00:00:53,000 Speaker 1: Thanks you at least for having me. All right, So 14 00:00:53,240 --> 00:00:58,200 Speaker 1: you are founding a new firm, and why good question. 15 00:00:58,240 --> 00:01:01,200 Speaker 1: It is a new firm, Uh what? The main reason 16 00:01:01,320 --> 00:01:04,040 Speaker 1: that I think the new firm is exciting is that 17 00:01:04,080 --> 00:01:07,520 Speaker 1: we're trying to align the revenue model of the firm 18 00:01:07,640 --> 00:01:10,679 Speaker 1: with the clients objectives. And what I found in time 19 00:01:11,200 --> 00:01:14,679 Speaker 1: in my experience in the industry is that although we 20 00:01:14,760 --> 00:01:19,000 Speaker 1: all are here to serve clients. Almost all firms revenue 21 00:01:19,040 --> 00:01:22,920 Speaker 1: models are fixed fees, so the client pays whether or 22 00:01:22,959 --> 00:01:26,480 Speaker 1: not the manager performs. An aperture is distinctly different. In 23 00:01:26,520 --> 00:01:30,360 Speaker 1: that sense, the client only pays more than the passive 24 00:01:30,440 --> 00:01:36,200 Speaker 1: fee if we perform. What is the hurdle rate? The 25 00:01:36,280 --> 00:01:39,920 Speaker 1: hurdle rates are different for different products, so it would 26 00:01:39,959 --> 00:01:43,119 Speaker 1: depend upon the investment services that we have. But let's 27 00:01:43,120 --> 00:01:47,039 Speaker 1: just take an example in a simple equity fund. Let's 28 00:01:47,040 --> 00:01:49,440 Speaker 1: say it's US large cap equities. The hurdle rate would 29 00:01:49,440 --> 00:01:54,800 Speaker 1: be the standard and Poor's index, easily identifiable, recognizable by all. Okay, 30 00:01:54,880 --> 00:01:59,040 Speaker 1: so let's say that this does gain steam. Would fees 31 00:01:59,120 --> 00:02:03,600 Speaker 1: be a lot larger once you hit that threshold? Well, actually, 32 00:02:03,720 --> 00:02:06,640 Speaker 1: you have to earn the S and P return in 33 00:02:06,760 --> 00:02:09,520 Speaker 1: order to be paid any fee at all. So in 34 00:02:09,560 --> 00:02:11,840 Speaker 1: other words, let's just say the markets up ten percent, 35 00:02:11,960 --> 00:02:15,160 Speaker 1: that's the SMP. If the managers performance is ten percent, 36 00:02:15,280 --> 00:02:18,720 Speaker 1: they're paid exactly no performance fee and only their base fee. 37 00:02:19,000 --> 00:02:21,760 Speaker 1: So here's what I'm wondering. When you talk about our performance, 38 00:02:21,800 --> 00:02:24,680 Speaker 1: it depends what index you're looking at. It also depends 39 00:02:24,720 --> 00:02:26,960 Speaker 1: what time frame you're looking at. So what is the 40 00:02:27,080 --> 00:02:31,520 Speaker 1: correct time frame to really judge this. So remember that 41 00:02:31,639 --> 00:02:34,640 Speaker 1: almost all managers have benchmarks in the in the fixed 42 00:02:34,639 --> 00:02:37,800 Speaker 1: fee space for sure, uh And so it's true that 43 00:02:37,840 --> 00:02:41,960 Speaker 1: each manager has a different benchmark, and benchmarks can be complex. 44 00:02:42,240 --> 00:02:45,720 Speaker 1: We're attempting to make those benchmarks simple, easy and recognizable. 45 00:02:46,680 --> 00:02:49,440 Speaker 1: The time period over which you pay fees is one year. 46 00:02:50,520 --> 00:02:53,320 Speaker 1: The reason why it's not longer is it's complicated for 47 00:02:53,360 --> 00:02:56,000 Speaker 1: people to understand fees over more than a year. We 48 00:02:56,280 --> 00:02:58,800 Speaker 1: actually charge the fee every day, but at the end 49 00:02:58,840 --> 00:03:01,440 Speaker 1: of the day, we only elect the fee if we 50 00:03:01,520 --> 00:03:04,919 Speaker 1: actually create performance in the twelve month period in which 51 00:03:04,960 --> 00:03:11,440 Speaker 1: the client is invested the new company aperture. Is it 52 00:03:11,880 --> 00:03:16,080 Speaker 1: going to compete against more storied names like Goldman Sachs 53 00:03:16,520 --> 00:03:20,520 Speaker 1: Or is this designed to go and try to peel 54 00:03:20,520 --> 00:03:25,320 Speaker 1: away money from other let's say, hedge funds or specific 55 00:03:26,080 --> 00:03:30,840 Speaker 1: investment strategies. We actually think that we're attempting to disrupt 56 00:03:31,400 --> 00:03:34,280 Speaker 1: all of those, not just Goldman Sacks, not just a 57 00:03:34,320 --> 00:03:38,680 Speaker 1: hedge fund, not just tro Price, not just Fidelity, but 58 00:03:39,600 --> 00:03:42,160 Speaker 1: all the above, because what we're trying to bring to 59 00:03:42,240 --> 00:03:46,960 Speaker 1: the client is outstanding returns, returns over a benchmark at 60 00:03:46,960 --> 00:03:49,760 Speaker 1: the end of the day, clients can buy beta or 61 00:03:49,800 --> 00:03:52,720 Speaker 1: the market exposure for cheap prices. We know that, and 62 00:03:52,760 --> 00:03:54,560 Speaker 1: we think that they should go and do that. What 63 00:03:54,680 --> 00:03:58,120 Speaker 1: clients can't get is return in excess of the market. 64 00:03:58,400 --> 00:04:01,000 Speaker 1: We're actually trying to provide the Okay, so what do 65 00:04:01,040 --> 00:04:03,080 Speaker 1: you think happens to all the big asset managers if 66 00:04:03,080 --> 00:04:06,480 Speaker 1: they don't adopt a fee structure structures like this. I 67 00:04:06,520 --> 00:04:09,480 Speaker 1: think this is a This is an industry that plays 68 00:04:09,520 --> 00:04:11,680 Speaker 1: out over a long period of time. People don't move 69 00:04:11,720 --> 00:04:16,000 Speaker 1: their money around, you know, haphazardly, but over long periods, 70 00:04:16,040 --> 00:04:18,479 Speaker 1: you know, ten to fifteen years. I believe that the 71 00:04:18,520 --> 00:04:20,960 Speaker 1: amount of money that will be followed by this performance 72 00:04:21,000 --> 00:04:24,920 Speaker 1: link structure will be very significant in the trillions. And 73 00:04:24,960 --> 00:04:26,160 Speaker 1: you would look at me and say, well, how could 74 00:04:26,160 --> 00:04:29,000 Speaker 1: that possibly be? But if you go back to when 75 00:04:29,000 --> 00:04:31,600 Speaker 1: et F started, if I had said to you twenty 76 00:04:31,600 --> 00:04:33,960 Speaker 1: plus years later, E t F are going to account 77 00:04:33,960 --> 00:04:36,400 Speaker 1: for almost fifty of the marketplace, you would have thought 78 00:04:36,400 --> 00:04:40,120 Speaker 1: it was crazy. I'm just struck by the infrastructure of 79 00:04:40,120 --> 00:04:42,240 Speaker 1: an asset management, of an asset management for I mean, 80 00:04:42,320 --> 00:04:45,000 Speaker 1: this is not inexpensive. How do you maintain that with 81 00:04:45,080 --> 00:04:47,599 Speaker 1: the structure when it's really hard to outperform unless you 82 00:04:47,640 --> 00:04:49,720 Speaker 1: are investing in less liquid assets. I mean, if you're 83 00:04:49,720 --> 00:04:53,440 Speaker 1: tied to broader markets, it's chance. Yeah, it's hard to 84 00:04:53,440 --> 00:04:56,320 Speaker 1: outperform whether you're invested in liquid markets or illiquid or 85 00:04:56,360 --> 00:04:58,840 Speaker 1: illiquid assets. Don't don't make don't make the mistake that 86 00:04:58,880 --> 00:05:01,960 Speaker 1: ill liquid assets are easy to create performance from two. 87 00:05:02,400 --> 00:05:05,520 Speaker 1: Look at the end of the day, we're running a 88 00:05:05,520 --> 00:05:08,560 Speaker 1: a asset management firm. It's disrupting on three different levels. 89 00:05:08,839 --> 00:05:12,000 Speaker 1: It's disrupting on the revenue level, it's disrupting on the 90 00:05:12,080 --> 00:05:15,640 Speaker 1: distribution level, and it's disrupting on the cost structure. We've 91 00:05:15,640 --> 00:05:19,039 Speaker 1: built a cost structure that essentially outsources virtually all the 92 00:05:19,120 --> 00:05:22,920 Speaker 1: things that most firms would do internally. Most firms do 93 00:05:22,960 --> 00:05:26,000 Speaker 1: them internally because it's their legacy. We have the benefit 94 00:05:26,240 --> 00:05:29,320 Speaker 1: of building a firm today, and given the cloud structure 95 00:05:29,320 --> 00:05:32,200 Speaker 1: in the world and the available technology, we can replicate 96 00:05:32,200 --> 00:05:34,599 Speaker 1: what most firms do for millions and millions of dollars 97 00:05:34,920 --> 00:05:38,320 Speaker 1: for far far less. So our cost structure is structurally 98 00:05:39,120 --> 00:05:42,400 Speaker 1: competitive relative to anybody else. We actually have a structural 99 00:05:42,440 --> 00:05:45,560 Speaker 1: benefit that others can't take advantage of. What are your 100 00:05:45,560 --> 00:05:49,080 Speaker 1: thoughts about starting aperture investors at the time when if 101 00:05:49,080 --> 00:05:52,840 Speaker 1: you look at the SMP five hundred were four. We've 102 00:05:52,880 --> 00:05:57,080 Speaker 1: got a record for the DAO at three. You're looking 103 00:05:57,120 --> 00:05:59,799 Speaker 1: at performance that's pretty good, and a lot of people 104 00:05:59,800 --> 00:06:02,440 Speaker 1: are starting to think maybe this is the time to 105 00:06:02,640 --> 00:06:06,839 Speaker 1: lighten up on stocks some sixty six. I started thinking 106 00:06:06,839 --> 00:06:09,159 Speaker 1: about investing, believe it or not, when I was maybe 107 00:06:09,160 --> 00:06:13,040 Speaker 1: twelve or thirteen years old. Over that time period, doesn't 108 00:06:13,080 --> 00:06:16,320 Speaker 1: take anybody, you know, smart to realize that equies are 109 00:06:16,320 --> 00:06:19,720 Speaker 1: going up over time. People are investing for their lives, 110 00:06:19,760 --> 00:06:23,800 Speaker 1: they're investing for their savings. Market timing is interesting to 111 00:06:23,800 --> 00:06:27,280 Speaker 1: talk about, but not interesting as an investment thesis. So 112 00:06:27,360 --> 00:06:30,000 Speaker 1: Aperture is here for the long run. We expect to 113 00:06:30,000 --> 00:06:32,719 Speaker 1: be in business for many, many years, tens of years, 114 00:06:33,200 --> 00:06:35,400 Speaker 1: and our job is to produce alpha, whether the market 115 00:06:35,480 --> 00:06:37,880 Speaker 1: is going down or the market's going up. Is it 116 00:06:37,920 --> 00:06:41,840 Speaker 1: hard for you to recruit potential investment managers with a 117 00:06:41,880 --> 00:06:44,520 Speaker 1: fee structure like this, especially since their compensation is so 118 00:06:44,600 --> 00:06:48,960 Speaker 1: closely tied to our performance. It's a great question. It's 119 00:06:49,000 --> 00:06:52,720 Speaker 1: really the key question. Actually, So I've interviewed over almost 120 00:06:52,720 --> 00:06:56,000 Speaker 1: a hundred people. Can't keep counting. Somewhere over seventy five, 121 00:06:56,000 --> 00:06:58,560 Speaker 1: and I think it's up to a hundred UM. And 122 00:06:58,600 --> 00:07:01,159 Speaker 1: I think the people fall into two categories. There are 123 00:07:01,720 --> 00:07:05,080 Speaker 1: those portfolio managers who grew up in a fixed fee 124 00:07:05,120 --> 00:07:08,400 Speaker 1: world who look at this and go, well, why would 125 00:07:08,440 --> 00:07:11,360 Speaker 1: I go to a performance based world when I get 126 00:07:11,360 --> 00:07:14,200 Speaker 1: paid whether or not I perform? And my view of 127 00:07:14,200 --> 00:07:16,480 Speaker 1: that is I don't even want to want to hire them, 128 00:07:16,520 --> 00:07:19,800 Speaker 1: because that's just not the person I want. The person 129 00:07:19,880 --> 00:07:21,920 Speaker 1: I want is somebody that believes they can perform, has 130 00:07:21,960 --> 00:07:25,000 Speaker 1: a history of performing, understands how to take risk, and 131 00:07:25,120 --> 00:07:28,640 Speaker 1: is willing to be paid on the basis of that performance. 132 00:07:28,680 --> 00:07:31,080 Speaker 1: Because there are two important things to that. One is 133 00:07:31,320 --> 00:07:33,560 Speaker 1: their risk takers and at the end of the day, 134 00:07:33,600 --> 00:07:35,400 Speaker 1: you want to invest with the risk here. You can't 135 00:07:35,400 --> 00:07:37,680 Speaker 1: make money if the person doesn't take risk. And two 136 00:07:37,760 --> 00:07:41,480 Speaker 1: is they're willing to cap their capacity because capacity is 137 00:07:41,520 --> 00:07:44,320 Speaker 1: the main issue in the camp in the industry. Any 138 00:07:44,400 --> 00:07:47,920 Speaker 1: names you can share who have joined the team, no, 139 00:07:48,040 --> 00:07:51,440 Speaker 1: I mean it'll be public over time. But I think 140 00:07:51,440 --> 00:07:57,080 Speaker 1: we're a team. I'm sorry rhymes like like Magan, but 141 00:07:57,320 --> 00:07:58,880 Speaker 1: we're a team and we're going to be a team, 142 00:07:59,080 --> 00:08:01,120 Speaker 1: all right. We're gonna leave with there Thanks very much 143 00:08:01,160 --> 00:08:04,440 Speaker 1: for coming in. Peter Krauss is the founder and financial 144 00:08:04,480 --> 00:08:09,320 Speaker 1: partner for Aperture Investors. They're looking to reshape the fee 145 00:08:09,320 --> 00:08:12,320 Speaker 1: structure for money managers. Thanks very much for coming in 146 00:08:12,360 --> 00:08:24,280 Speaker 1: and sharing your thoughts with us. Joining us now as 147 00:08:24,360 --> 00:08:27,880 Speaker 1: Lenan Union. She's an FX reporter for Bloomberg News Land. 148 00:08:27,920 --> 00:08:30,280 Speaker 1: Thank you so much for being with us. You know, 149 00:08:30,640 --> 00:08:33,560 Speaker 1: I have to think it is strange that the dollar 150 00:08:33,720 --> 00:08:37,440 Speaker 1: is weakening at a time when treasury yields are grinding higher. 151 00:08:37,760 --> 00:08:40,160 Speaker 1: Doesn't this go against the trend that we've seen recently. 152 00:08:40,480 --> 00:08:43,280 Speaker 1: It certainly does, Lisa, And that's the really interesting thing 153 00:08:43,480 --> 00:08:47,000 Speaker 1: we've seen. Positioning in the FX market is max bullish 154 00:08:47,120 --> 00:08:50,360 Speaker 1: right now. People are piling into long positions. It's the 155 00:08:50,400 --> 00:08:52,920 Speaker 1: third most crowded trade according to Bank of America's Fund 156 00:08:52,960 --> 00:08:55,439 Speaker 1: Manager Survey. And yet I'm hearing a lot of people 157 00:08:55,480 --> 00:08:59,000 Speaker 1: talking about the dollar being a cell um. You know. 158 00:08:59,080 --> 00:09:01,400 Speaker 1: We we talked to Ben P. Perry Boat Asset Management. 159 00:09:01,440 --> 00:09:03,640 Speaker 1: They think the dollar could plunge ten percent in the 160 00:09:03,679 --> 00:09:06,320 Speaker 1: next six to nine months. So what we're looking at 161 00:09:06,440 --> 00:09:09,840 Speaker 1: is the market saying Feds over We're over it. We 162 00:09:09,880 --> 00:09:12,160 Speaker 1: know what's happening there. The U S economy is doing well. 163 00:09:12,240 --> 00:09:14,880 Speaker 1: What's next. We'll just taking a look at the performance 164 00:09:14,920 --> 00:09:17,960 Speaker 1: of the dollar today one thirty two eighty against the 165 00:09:18,000 --> 00:09:21,520 Speaker 1: pounds sterling. Perhaps that's in response to the comments from 166 00:09:21,559 --> 00:09:25,679 Speaker 1: Donald Tusk of the European Union about ongoing negotiations, and 167 00:09:25,760 --> 00:09:28,120 Speaker 1: also taking a look at the dollar versus the Canadian 168 00:09:28,200 --> 00:09:31,600 Speaker 1: looney one twenty eight the dollar is weakening. Yeah, And 169 00:09:31,640 --> 00:09:34,840 Speaker 1: I think with those two stories, particularly with Canada and 170 00:09:35,000 --> 00:09:37,520 Speaker 1: the pound, we have a lot of videosyncratic political risk 171 00:09:37,559 --> 00:09:39,480 Speaker 1: and trade risk when it comes to NAFTA. So the 172 00:09:39,480 --> 00:09:41,800 Speaker 1: dollar has definitely gotten a bid in the last few 173 00:09:41,800 --> 00:09:44,800 Speaker 1: weeks months because of trade problems. But I think a 174 00:09:44,800 --> 00:09:47,360 Speaker 1: lot of the being people that I'm looking at on 175 00:09:47,400 --> 00:09:50,000 Speaker 1: the by side, who are longer term thinkers, think Okay, 176 00:09:50,040 --> 00:09:52,680 Speaker 1: the trade stuff is just noise. It will eventually be resolved. 177 00:09:52,679 --> 00:09:55,360 Speaker 1: And what's really important is the fundamental drivers, which is 178 00:09:55,640 --> 00:09:58,720 Speaker 1: US central bank is already moving, which next, Which central 179 00:09:58,720 --> 00:10:01,080 Speaker 1: banks are next, and who is going to catch up 180 00:10:01,080 --> 00:10:04,000 Speaker 1: to the US in terms of that monetary policy convergence. 181 00:10:04,280 --> 00:10:07,920 Speaker 1: So Dave come on in here. If BNP PRIVA analysts 182 00:10:07,920 --> 00:10:11,439 Speaker 1: are correct and others that the greenback could decline could 183 00:10:11,480 --> 00:10:15,040 Speaker 1: appreciate about ten percent in the upcoming year. What does 184 00:10:15,080 --> 00:10:17,000 Speaker 1: that mean for US equities? And that's kind of almost 185 00:10:17,000 --> 00:10:20,319 Speaker 1: a tailwind. Now, yeah, I mean you've sort of seeing 186 00:10:20,400 --> 00:10:24,439 Speaker 1: the dollar pop up and a lot of companies results 187 00:10:24,240 --> 00:10:26,920 Speaker 1: as something to be concerned about. I mean, let's face it, 188 00:10:27,360 --> 00:10:30,320 Speaker 1: you know, if you've got a higher dollar than all 189 00:10:30,360 --> 00:10:33,480 Speaker 1: those overseas earnings just don't count so much when you 190 00:10:33,520 --> 00:10:36,480 Speaker 1: bring them back home, if only for the sake of 191 00:10:36,480 --> 00:10:39,760 Speaker 1: the financial statements. And you know, to the extent that 192 00:10:39,800 --> 00:10:41,959 Speaker 1: the companies are trying to sell overseas, I mean, it 193 00:10:42,200 --> 00:10:45,280 Speaker 1: becomes an issue as well, so it has the potential 194 00:10:45,320 --> 00:10:47,360 Speaker 1: to be that. I mean, then again, I'm looking at 195 00:10:47,360 --> 00:10:49,600 Speaker 1: the Bloomberg Dollar Index and it's sort of sitting in 196 00:10:49,600 --> 00:10:51,400 Speaker 1: the range. It's been the last few months at the 197 00:10:51,440 --> 00:10:54,600 Speaker 1: bottom of the range, but it's not like we've had 198 00:10:54,679 --> 00:10:58,000 Speaker 1: the kind of really substantial move lower that would suggest that, 199 00:10:58,080 --> 00:11:00,360 Speaker 1: at least for the moment, that things are changing in 200 00:11:00,360 --> 00:11:03,480 Speaker 1: a meaningful way for US companies. And just to your 201 00:11:03,520 --> 00:11:05,800 Speaker 1: point at Lisa, I mean, a company like Coca Cola, 202 00:11:05,840 --> 00:11:08,760 Speaker 1: which derives more than half of its revenue from outside 203 00:11:08,760 --> 00:11:11,439 Speaker 1: the United States, they would be affected by any of 204 00:11:11,480 --> 00:11:14,800 Speaker 1: those big moves in US dollar, right, yes, exactly, and 205 00:11:14,840 --> 00:11:18,160 Speaker 1: so maybe this becomes, you know, a boon if the 206 00:11:18,200 --> 00:11:20,920 Speaker 1: dollar does start to weaken. We saw that when the 207 00:11:20,960 --> 00:11:23,719 Speaker 1: FED was tightening rates that um, you know, everyone was 208 00:11:23,760 --> 00:11:26,480 Speaker 1: really worried about this tightening and financial conditions. The dollar 209 00:11:26,600 --> 00:11:28,240 Speaker 1: was doing a lot of the tightening for the FED. 210 00:11:28,360 --> 00:11:31,120 Speaker 1: So maybe we're going in re versus un confused because 211 00:11:31,200 --> 00:11:34,079 Speaker 1: with treasure yields now at ten year yields climbing above 212 00:11:34,120 --> 00:11:37,520 Speaker 1: three percent, you're getting real return on everything from three 213 00:11:37,520 --> 00:11:40,120 Speaker 1: months t bills out through the thirty year treasury. I'm 214 00:11:40,160 --> 00:11:42,080 Speaker 1: just trying to understand why are we not seeing more 215 00:11:42,120 --> 00:11:45,400 Speaker 1: foreign investor flood back into the US giving more of 216 00:11:45,440 --> 00:11:47,120 Speaker 1: a bid to the dollar. I mean, I understand about 217 00:11:47,120 --> 00:11:50,040 Speaker 1: the FED, but what about the actual yields. I think 218 00:11:50,080 --> 00:11:53,479 Speaker 1: it's again we're we're looking at the two thousand seventeen 219 00:11:53,559 --> 00:11:57,560 Speaker 1: story again, which is that people just uh, in the 220 00:11:57,679 --> 00:12:01,080 Speaker 1: FX market don't see the US as that appealing anymore 221 00:12:01,120 --> 00:12:03,920 Speaker 1: because we've maxed out, and I think the two markets 222 00:12:03,960 --> 00:12:07,760 Speaker 1: are definitely dislocated for sure, um and in for an exchange, 223 00:12:07,800 --> 00:12:09,760 Speaker 1: people say this is as good as it gets in 224 00:12:09,800 --> 00:12:12,959 Speaker 1: the US. What's next as good as it gets. That 225 00:12:13,080 --> 00:12:16,160 Speaker 1: seems to be not resonating at all with stock traders 226 00:12:16,160 --> 00:12:19,000 Speaker 1: today as we hit a new highs, so people seem 227 00:12:19,040 --> 00:12:22,160 Speaker 1: to think that there's a lot more good head in equities, 228 00:12:22,200 --> 00:12:26,200 Speaker 1: although currencies can sometimes sometimes have a little bit more 229 00:12:26,200 --> 00:12:28,520 Speaker 1: of a finger on the pulse, a different pulse perhaps. Davilson, 230 00:12:28,679 --> 00:12:31,440 Speaker 1: Blomberg Sox editor, columnist and blogger, and m live go 231 00:12:31,640 --> 00:12:34,679 Speaker 1: on the Bloomberg and Lennian who covers FX for us 232 00:12:34,720 --> 00:12:38,480 Speaker 1: here at Bloomberg News, and I gotta say, I'm having 233 00:12:38,480 --> 00:12:41,560 Speaker 1: trouble reconciling higher yields with a weaker dollar. It's something 234 00:12:41,600 --> 00:12:46,040 Speaker 1: that is not logical you're trying to make sense of. Well, no, 235 00:12:46,200 --> 00:12:49,559 Speaker 1: it's just it goes against some recent trends that we've seen, 236 00:12:49,640 --> 00:12:52,360 Speaker 1: and it just it's an interesting dynamic. It'll be interesting 237 00:12:52,400 --> 00:13:06,679 Speaker 1: to see whether it holds. Right now. We want to 238 00:13:06,679 --> 00:13:09,480 Speaker 1: shove the focus to China overnight. There are reports that 239 00:13:09,600 --> 00:13:14,440 Speaker 1: China is considering cutting tariffs on incoming goods as seeming 240 00:13:14,800 --> 00:13:16,720 Speaker 1: I don't know, olive branch to the rest of the 241 00:13:16,720 --> 00:13:18,880 Speaker 1: world saying that we're going to lower our high tariff 242 00:13:18,960 --> 00:13:21,440 Speaker 1: rates a little bit in order to be a leader 243 00:13:21,640 --> 00:13:24,640 Speaker 1: in trade joining US now Tom or like chief economist 244 00:13:24,679 --> 00:13:28,280 Speaker 1: for Bloomberg Economics coming to US from Washington, D C. Tom. 245 00:13:28,440 --> 00:13:31,280 Speaker 1: This seems to go against what we had been seeing. 246 00:13:31,280 --> 00:13:33,640 Speaker 1: It does seem to break the vibe between the US 247 00:13:33,720 --> 00:13:36,840 Speaker 1: and China where it was sort of an escalating tariff off. 248 00:13:37,160 --> 00:13:40,120 Speaker 1: How big of a deal is this? I think we 249 00:13:40,160 --> 00:13:42,800 Speaker 1: need to wait for the details. UM. If it's a 250 00:13:42,880 --> 00:13:46,520 Speaker 1: very significant cut in tariff um, then clearly this is 251 00:13:46,559 --> 00:13:49,160 Speaker 1: going to be big news. UM. If we're just talking 252 00:13:49,200 --> 00:13:51,240 Speaker 1: about a fraction of a percent or a couple of 253 00:13:51,240 --> 00:13:53,920 Speaker 1: percents of tariff I think is not going to really 254 00:13:53,960 --> 00:13:58,960 Speaker 1: move the dial um. It seems to be an indication 255 00:13:59,000 --> 00:14:03,240 Speaker 1: that China wants to d escalate this situation UM. The US, 256 00:14:03,360 --> 00:14:06,240 Speaker 1: when with two hundred tariffs on two billion dollars in goods, 257 00:14:06,559 --> 00:14:10,040 Speaker 1: China responded with tariffs on just sixty billion. The US 258 00:14:10,080 --> 00:14:12,160 Speaker 1: set tariffs at ten percent and said they were going 259 00:14:12,200 --> 00:14:16,000 Speaker 1: to China came in at a lower level. And now 260 00:14:16,040 --> 00:14:19,840 Speaker 1: this move to offer a general concession on tariff's um 261 00:14:20,280 --> 00:14:23,840 Speaker 1: worldwide UM seems to me an indication that China is 262 00:14:23,880 --> 00:14:27,920 Speaker 1: trying to de escalate. What about the import tax that 263 00:14:28,520 --> 00:14:32,720 Speaker 1: China might impose more generally, what would that do to 264 00:14:32,760 --> 00:14:37,400 Speaker 1: the Chinese economy. So the way that China will present 265 00:14:37,520 --> 00:14:41,800 Speaker 1: this is part of a longer term reform and opening strategy. 266 00:14:42,400 --> 00:14:46,240 Speaker 1: Of course, Donald Trump has his prestige in China, Chi 267 00:14:46,320 --> 00:14:50,640 Speaker 1: Jinping has his prestige. The last thing that China's government 268 00:14:50,640 --> 00:14:54,280 Speaker 1: wants to do is to be perceived as making concessions 269 00:14:54,720 --> 00:14:57,800 Speaker 1: um to the US. So this will be presented as 270 00:14:57,840 --> 00:15:01,080 Speaker 1: part of a longer term reform and opening strate to Gum, 271 00:15:01,120 --> 00:15:04,560 Speaker 1: and it will have, to your question, pim Um that 272 00:15:04,720 --> 00:15:09,440 Speaker 1: positive impact in terms of raising consumption, in terms of 273 00:15:09,480 --> 00:15:13,720 Speaker 1: dealing with some of China's economic imbalances, and so the 274 00:15:13,760 --> 00:15:16,240 Speaker 1: hope in Beijing will be at the same time as 275 00:15:16,240 --> 00:15:19,280 Speaker 1: taking some of the heat out of the trade trade dispute, 276 00:15:19,440 --> 00:15:23,360 Speaker 1: it's also a longer term positive for China's development. So, Tom, 277 00:15:23,400 --> 00:15:25,080 Speaker 1: this was my big question when I read the news 278 00:15:25,080 --> 00:15:29,240 Speaker 1: this morning, I was wondering it will China lower tariffs 279 00:15:29,320 --> 00:15:34,120 Speaker 1: on US goods alongside others that they import, especially considering 280 00:15:34,160 --> 00:15:37,240 Speaker 1: the fact that they've got no plans to dial back 281 00:15:37,440 --> 00:15:40,360 Speaker 1: their retaliatory tariffs that they said are going to go 282 00:15:40,440 --> 00:15:43,800 Speaker 1: into effect on September twenty in tandem with the additional 283 00:15:43,880 --> 00:15:48,080 Speaker 1: US tariffs and Chinese goods. Right. Um, that's an important question. 284 00:15:48,160 --> 00:15:51,000 Speaker 1: I don't think we have perfect clarity on it yet. 285 00:15:51,040 --> 00:15:54,560 Speaker 1: We don't have the details from the Chinese side. UM. 286 00:15:54,600 --> 00:15:58,320 Speaker 1: My initial take though, is that this reduction in tariffs 287 00:15:58,360 --> 00:16:00,840 Speaker 1: will be worldwide. It will fly to the U S, 288 00:16:00,880 --> 00:16:04,160 Speaker 1: it will apply to Europe, it will apply to everybody. UM. 289 00:16:04,360 --> 00:16:07,640 Speaker 1: So the Chinese are making their domestic market more attractive 290 00:16:08,160 --> 00:16:12,360 Speaker 1: to foreign firms. At the same time, those punitive tariffs 291 00:16:12,360 --> 00:16:16,360 Speaker 1: on U S firms um, which the Chinese have said 292 00:16:16,360 --> 00:16:20,600 Speaker 1: they will impose in retaliation for US tariffs on Chinese firms, 293 00:16:20,680 --> 00:16:23,160 Speaker 1: will be in place, So the whole market will look 294 00:16:23,160 --> 00:16:26,520 Speaker 1: more attractive to foreign firms but Chinese, but US terms 295 00:16:26,520 --> 00:16:31,040 Speaker 1: will face this additional punitive tariff. UM. I think the 296 00:16:30,360 --> 00:16:34,040 Speaker 1: the logic of that for Beijing is that they hope 297 00:16:34,080 --> 00:16:39,080 Speaker 1: to turn US corporates into lobbyists on their behalf, because 298 00:16:39,080 --> 00:16:42,920 Speaker 1: the US corporates will see, oh, the Europeans, the Canadians, 299 00:16:42,960 --> 00:16:45,640 Speaker 1: the Japanese, they're all going into the Chinese market on 300 00:16:45,680 --> 00:16:48,680 Speaker 1: these new favorable terms. We can't get in because we're 301 00:16:48,680 --> 00:16:51,840 Speaker 1: faced with these punitive additional tariffs. Let's go to d C. 302 00:16:52,400 --> 00:16:57,560 Speaker 1: Let's encourage the Trump administration to call a truce, maybe 303 00:16:57,840 --> 00:17:01,800 Speaker 1: walk back some of the some of the terrists they've introduced. Tom, 304 00:17:02,360 --> 00:17:05,200 Speaker 1: just quickly here, if this is all going to happen, 305 00:17:05,200 --> 00:17:07,879 Speaker 1: what happens to the Chinese currency? I mean it hasn't 306 00:17:07,880 --> 00:17:10,280 Speaker 1: it been falling in value? And doesn't that make them 307 00:17:10,400 --> 00:17:14,960 Speaker 1: Chinese products, you know, more competitive? So China has allowed 308 00:17:15,000 --> 00:17:17,679 Speaker 1: the UNSW to de appreciate somewhat over the course of 309 00:17:17,760 --> 00:17:21,080 Speaker 1: two thousand and eighteen. There certainly hasn't been an extreme 310 00:17:21,200 --> 00:17:23,760 Speaker 1: drop in the currency. The fear for China if we 311 00:17:23,800 --> 00:17:25,879 Speaker 1: saw a big drop would be we'd be back to 312 00:17:25,920 --> 00:17:30,640 Speaker 1: the world of capital light flows and concerns about financial stability. Um. 313 00:17:30,960 --> 00:17:32,960 Speaker 1: I think if we see this cut in tarrits and 314 00:17:33,040 --> 00:17:36,240 Speaker 1: that reduces the tensions in the trade war, then that's 315 00:17:36,240 --> 00:17:39,800 Speaker 1: going to reduce the need for you and depreciation as 316 00:17:39,840 --> 00:17:42,639 Speaker 1: a kind of competitiveness offset. I do you want to 317 00:17:42,640 --> 00:17:45,560 Speaker 1: just remind you we are awaiting law enforcement comments on 318 00:17:45,720 --> 00:17:49,720 Speaker 1: multiple victims having been shot in Maryland. We will bring 319 00:17:49,720 --> 00:17:52,360 Speaker 1: you those when we get them. Tom. You know you're 320 00:17:52,400 --> 00:17:56,560 Speaker 1: talking about how China wants to turn US corporations into 321 00:17:56,720 --> 00:18:00,280 Speaker 1: lobbyists to get the Trump administration to back away from 322 00:18:00,320 --> 00:18:04,640 Speaker 1: this trade escalation. But so far they have been lobbyists 323 00:18:04,680 --> 00:18:08,280 Speaker 1: and they have failed. What makes China confident that perhaps 324 00:18:08,520 --> 00:18:11,919 Speaker 1: the Trump administration would listen to corporate pushback when it 325 00:18:11,960 --> 00:18:15,280 Speaker 1: really hasn't worked so far. Yeah, I think that's a 326 00:18:15,400 --> 00:18:18,160 Speaker 1: that's a key point. And my expectation at the start 327 00:18:18,160 --> 00:18:19,760 Speaker 1: of the year was that we were going to have 328 00:18:19,920 --> 00:18:23,679 Speaker 1: much more vigorous corporate pushback from the US business lobby 329 00:18:23,920 --> 00:18:26,200 Speaker 1: and that was going to be a more significant factor 330 00:18:26,680 --> 00:18:31,600 Speaker 1: in changing the changing the view on the Trump administration. Clearly, 331 00:18:31,640 --> 00:18:35,800 Speaker 1: that hasn't happened so far. We'll see what the extent 332 00:18:35,880 --> 00:18:39,040 Speaker 1: of the tariff cut that China is offering is um. 333 00:18:39,080 --> 00:18:41,840 Speaker 1: But clearly, if it's a very significant tariff cut, if 334 00:18:41,880 --> 00:18:46,399 Speaker 1: it's significantly increases the appeal um of doing business in China, 335 00:18:46,680 --> 00:18:49,439 Speaker 1: and then you would expect those business lobby voices in 336 00:18:49,440 --> 00:18:52,920 Speaker 1: the US to get that little bit louder um. And 337 00:18:53,080 --> 00:18:55,320 Speaker 1: of course they don't have a crystal ball into Beijing. 338 00:18:55,480 --> 00:18:59,359 Speaker 1: I don't know what the government's internal thinking is, um, 339 00:18:59,400 --> 00:19:02,120 Speaker 1: but the hope I think would be the alloweder voice 340 00:19:02,160 --> 00:19:05,160 Speaker 1: from the US business lobby would make it more difficult 341 00:19:05,280 --> 00:19:10,680 Speaker 1: for the Trump administration to proceed with aggressive tariffs. Does 342 00:19:10,720 --> 00:19:15,200 Speaker 1: this also have an impact on other countries in Asia 343 00:19:15,320 --> 00:19:19,800 Speaker 1: that maybe have assumed some of the manufacturing work that 344 00:19:19,920 --> 00:19:24,640 Speaker 1: has been too expensive to do in China, Right, So 345 00:19:24,680 --> 00:19:29,040 Speaker 1: I think countries like Vietnam, countries like the Philippines, countries 346 00:19:29,080 --> 00:19:32,320 Speaker 1: like Bangladesh, And we were already seeing a lot of 347 00:19:32,480 --> 00:19:36,359 Speaker 1: export business, low value added export business moving from China 348 00:19:36,440 --> 00:19:39,920 Speaker 1: to those countries because they are cheaper now. Um, And 349 00:19:40,040 --> 00:19:42,600 Speaker 1: this US China trade war, I mean, it could only 350 00:19:42,640 --> 00:19:46,280 Speaker 1: accelerate that process. Right. If China is getting more expensive 351 00:19:46,320 --> 00:19:48,639 Speaker 1: in terms of labor, in terms of exchange rate, in 352 00:19:48,720 --> 00:19:50,760 Speaker 1: terms of all the cost of production, and then you 353 00:19:50,800 --> 00:19:53,959 Speaker 1: have tariffs on top of that, then all the corporations 354 00:19:53,960 --> 00:19:55,960 Speaker 1: are going to think, Okay, my next factory is going 355 00:19:56,000 --> 00:19:59,280 Speaker 1: to be in Southeast Asia. Now. If China reduces his 356 00:19:59,400 --> 00:20:02,640 Speaker 1: tariffs and dials playing the tension in the trade war, um, 357 00:20:02,640 --> 00:20:06,120 Speaker 1: clearly that the pressure for that exodus of manufacturing activity 358 00:20:06,119 --> 00:20:08,320 Speaker 1: will be that bit less. So one thing that I'm 359 00:20:08,359 --> 00:20:10,800 Speaker 1: struck by is we were speaking with Leland Miller of 360 00:20:10,880 --> 00:20:14,280 Speaker 1: China beige Book International earlier in the week, and he 361 00:20:14,440 --> 00:20:18,080 Speaker 1: was saying that on the ground, it seems like manufacturing 362 00:20:18,240 --> 00:20:20,760 Speaker 1: is slowing in China despite some of the data that 363 00:20:20,760 --> 00:20:24,359 Speaker 1: we're getting from official sources there. And I'm just I'm wondering, 364 00:20:24,480 --> 00:20:28,440 Speaker 1: if you do sort of reduce the barrier to imports 365 00:20:28,440 --> 00:20:30,960 Speaker 1: in China at a time when you're already seeing a 366 00:20:31,040 --> 00:20:36,560 Speaker 1: slowdown and manufacturing, how much could this actually hurt China's economy. 367 00:20:37,280 --> 00:20:40,679 Speaker 1: I mean, that's an interesting question. UM. Clearly, if you 368 00:20:40,760 --> 00:20:43,600 Speaker 1: import more manufactured good things, you have less need to 369 00:20:43,640 --> 00:20:47,359 Speaker 1: imput the actually less need to produce manufactured goods at 370 00:20:47,440 --> 00:20:51,439 Speaker 1: home at the same time. UM, Tariffs and not the 371 00:20:51,480 --> 00:20:57,520 Speaker 1: only factor determining where manufacturing activity takes place. UM, the 372 00:20:57,560 --> 00:21:01,639 Speaker 1: supply chains are in China. The emphas structure is in China. 373 00:21:02,040 --> 00:21:05,639 Speaker 1: These things do not move quickly or move overnight. UM. 374 00:21:05,680 --> 00:21:08,199 Speaker 1: I think the idea that the Chinese government has is 375 00:21:08,200 --> 00:21:11,360 Speaker 1: probably not so much. Oh, we're going to get more 376 00:21:11,400 --> 00:21:14,000 Speaker 1: important manufacturing goods, and that's going to be bad for 377 00:21:14,040 --> 00:21:18,000 Speaker 1: our factories at home. But rather we've got lots of consumers. 378 00:21:18,440 --> 00:21:21,520 Speaker 1: They've got a demand for goods that have produced globally. UM, 379 00:21:21,720 --> 00:21:26,280 Speaker 1: we're going to ramp up consumption by reducing import barriers 380 00:21:26,520 --> 00:21:31,080 Speaker 1: and opening the door to more US cars, more Japanese cars, 381 00:21:31,520 --> 00:21:33,879 Speaker 1: more of those kind of high end goods that Chinese 382 00:21:33,880 --> 00:21:36,720 Speaker 1: consumers now want but are not being produced at home. 383 00:21:36,880 --> 00:21:38,960 Speaker 1: Want to thank you very much for spending time with us. 384 00:21:39,000 --> 00:21:43,359 Speaker 1: Tom Orlick is Chief economist for a Bloomberg Economics, talking 385 00:21:43,400 --> 00:21:46,640 Speaker 1: about the effects of the drawn out US China trade 386 00:21:46,760 --> 00:21:49,320 Speaker 1: war and what that means not only for consumers in 387 00:21:49,320 --> 00:22:03,480 Speaker 1: the United States, but also for the Chinese economy. So 388 00:22:03,560 --> 00:22:07,600 Speaker 1: Amazon wants to run our world in every which way, 389 00:22:07,640 --> 00:22:10,240 Speaker 1: whether it's in our homes, whether it's in our stores, 390 00:22:10,960 --> 00:22:13,400 Speaker 1: whether it's the music we listen to or the movies 391 00:22:13,600 --> 00:22:16,800 Speaker 1: we watch. The latest they are planning to open three 392 00:22:17,040 --> 00:22:21,960 Speaker 1: thousand ghost stores. By Shara over Day, Bloomberg Opinion calumnists 393 00:22:21,960 --> 00:22:26,200 Speaker 1: covering all things tech. What does an Amazon convenience store 394 00:22:26,280 --> 00:22:31,000 Speaker 1: look like? Well, what they look like now. Amazon has 395 00:22:31,040 --> 00:22:34,359 Speaker 1: a handful of these cashier less more or less convenience 396 00:22:34,400 --> 00:22:37,040 Speaker 1: stores um that they started a couple of years ago 397 00:22:37,040 --> 00:22:40,040 Speaker 1: in their hometown of Seattle, and they look like a 398 00:22:40,119 --> 00:22:43,800 Speaker 1: conventional convenience store with prepared foods and a handful of 399 00:22:43,840 --> 00:22:48,919 Speaker 1: select um packaged food items, except there are no cashiers. 400 00:22:48,960 --> 00:22:51,840 Speaker 1: You kind of walk in with your smartphone that has 401 00:22:51,880 --> 00:22:54,800 Speaker 1: a special app on it. You pluck whatever you want 402 00:22:54,840 --> 00:22:57,440 Speaker 1: off the shelves, and you walk out and your app 403 00:22:57,480 --> 00:23:01,040 Speaker 1: is automatically figures out what you bought and charges you 404 00:23:01,160 --> 00:23:04,000 Speaker 1: for it. Now, I don't know, you know, our colleague 405 00:23:04,000 --> 00:23:07,359 Speaker 1: Spenser Sopa reported this story yesterday about the planned open 406 00:23:07,400 --> 00:23:10,199 Speaker 1: as many as three thousand of these cashier less stores. 407 00:23:10,800 --> 00:23:13,560 Speaker 1: In addition to the number which is quite stunning, the 408 00:23:14,440 --> 00:23:18,040 Speaker 1: other surprising thing was maybe they won't be convenience stores. 409 00:23:18,119 --> 00:23:21,720 Speaker 1: Maybe they will be more like cashier less. Uh, you 410 00:23:21,720 --> 00:23:23,880 Speaker 1: know these kind of sandwich joints that we see all 411 00:23:23,880 --> 00:23:26,920 Speaker 1: over our neighborhood here in Manhattan, more like places where 412 00:23:26,920 --> 00:23:28,959 Speaker 1: you go to pick up a sandwich or a salad 413 00:23:29,040 --> 00:23:32,000 Speaker 1: or some other prepared food. So it feels almost like 414 00:23:32,040 --> 00:23:35,760 Speaker 1: it's in competition with you know, Preda Mager or Chipotle, 415 00:23:35,920 --> 00:23:39,560 Speaker 1: er these other kind of lunch joints that we see 416 00:23:39,600 --> 00:23:42,560 Speaker 1: in lots of cities. Do we have any idea about 417 00:23:42,600 --> 00:23:45,840 Speaker 1: the back the back end of all this, the kitchen preparation. 418 00:23:45,880 --> 00:23:48,040 Speaker 1: Who's going to do all that work? And is that 419 00:23:48,080 --> 00:23:50,520 Speaker 1: coming from Whole Foods? For example? I mean, look, the 420 00:23:50,560 --> 00:23:54,720 Speaker 1: irony of any cashier less store is that it requires 421 00:23:54,760 --> 00:23:57,920 Speaker 1: an enormous amount of manpower behind the scenes. Right, So, 422 00:23:58,040 --> 00:24:01,639 Speaker 1: in addition to the people who have to prepare the food, 423 00:24:01,960 --> 00:24:03,880 Speaker 1: you have people who stuck the shelves. You have people 424 00:24:03,920 --> 00:24:07,679 Speaker 1: who have to drive food from a centralized kitchen um 425 00:24:07,800 --> 00:24:12,679 Speaker 1: or or warehouse to the store. Uh, you gotta restocked shelves, 426 00:24:12,680 --> 00:24:17,440 Speaker 1: you gotta have securities and people and are shoplifting things. Essentially, 427 00:24:17,520 --> 00:24:20,200 Speaker 1: there are people required, even for something that is billed 428 00:24:20,240 --> 00:24:23,880 Speaker 1: as cashierless. You know, Spencer's story yesterday reported quite an 429 00:24:23,880 --> 00:24:27,200 Speaker 1: interesting figure that the original ghost store in Seattle required 430 00:24:27,240 --> 00:24:30,760 Speaker 1: a million dollars just for the technology hardware, and that 431 00:24:30,800 --> 00:24:33,080 Speaker 1: doesn't account for all the other costs to set up 432 00:24:33,119 --> 00:24:37,600 Speaker 1: and operate that store. So obviously a million dollars plus 433 00:24:37,640 --> 00:24:40,240 Speaker 1: per store does not scale if you're talking about something 434 00:24:40,240 --> 00:24:43,080 Speaker 1: on the order of three thousand stores. Jeff Bezos is 435 00:24:43,119 --> 00:24:45,480 Speaker 1: no dope. What's his plan here, what's the what's the 436 00:24:45,520 --> 00:24:48,680 Speaker 1: big kitting? Okay, so the look, the big prize here 437 00:24:49,040 --> 00:24:52,800 Speaker 1: is Americans and people around the world, they spend huge 438 00:24:52,880 --> 00:24:56,439 Speaker 1: chunks of their household budget every month on groceries, on 439 00:24:57,240 --> 00:25:00,720 Speaker 1: convenience stores, and on eating out and if Amazon can 440 00:25:00,760 --> 00:25:04,600 Speaker 1: pluck you know, good share of each of those pools 441 00:25:04,880 --> 00:25:09,680 Speaker 1: of household spending, that's an enormous market for Amazon, particularly 442 00:25:09,680 --> 00:25:12,560 Speaker 1: in grocery, but not exclusively. So that is really the 443 00:25:12,600 --> 00:25:17,560 Speaker 1: big prize here, is accessing a huge pool of consumer spending. 444 00:25:18,280 --> 00:25:21,719 Speaker 1: Do you know that Amazon offers something called Amazon Cloud 445 00:25:21,840 --> 00:25:25,679 Speaker 1: Cam for the Alexa smart home. It's a security camera 446 00:25:25,920 --> 00:25:32,040 Speaker 1: that has two way audio, night vision and HD resolution. Indeed, yes, 447 00:25:32,600 --> 00:25:35,919 Speaker 1: it's one of many of their Alexa power devices. Yes, well, 448 00:25:35,920 --> 00:25:37,520 Speaker 1: that was where I was going with this, because I 449 00:25:37,560 --> 00:25:40,000 Speaker 1: believe you said to be an announcement having to do 450 00:25:40,080 --> 00:25:42,960 Speaker 1: with devices, and I don't know whether it's going to 451 00:25:43,040 --> 00:25:45,840 Speaker 1: be the Echo Look, the Echo Show, the Echo Spot, 452 00:25:46,040 --> 00:25:51,040 Speaker 1: the Alexa, the Fire TV. My goodness, Yes, it's so. 453 00:25:51,160 --> 00:25:53,280 Speaker 1: As you said, in a couple of hours, Amazon is 454 00:25:53,320 --> 00:25:56,040 Speaker 1: hosting this event in Seattle where they're going to apparently 455 00:25:56,080 --> 00:26:00,560 Speaker 1: talk about the next wave of the devices they put 456 00:26:00,600 --> 00:26:05,120 Speaker 1: out with this Alexa kind of smart brain baked in UM. 457 00:26:05,160 --> 00:26:08,040 Speaker 1: As you point out, they do have a pretty big 458 00:26:08,160 --> 00:26:11,960 Speaker 1: range of these Alexa powered Amazon devices already, and I 459 00:26:12,000 --> 00:26:16,000 Speaker 1: think although there are no hard sales figures, it feels 460 00:26:16,080 --> 00:26:20,440 Speaker 1: like some of those Alexa powered devices have been successful, 461 00:26:20,560 --> 00:26:23,240 Speaker 1: like the Echo Dots, which is the kind of small 462 00:26:23,320 --> 00:26:26,679 Speaker 1: form version of the original Echo voice powered speaker, and 463 00:26:26,760 --> 00:26:29,640 Speaker 1: some of the Alexa powered devices that Amazon is released, 464 00:26:29,920 --> 00:26:32,000 Speaker 1: um haven't been a successful So I think it's fair 465 00:26:32,000 --> 00:26:34,239 Speaker 1: to think that Amazon is kind of throwing spaghetti at 466 00:26:34,240 --> 00:26:36,639 Speaker 1: the wall to see what sticks when it comes to 467 00:26:36,640 --> 00:26:39,240 Speaker 1: their device strategy. And maybe that's not a bad idea, 468 00:26:39,480 --> 00:26:43,040 Speaker 1: right if you're a company of Amazon size, let's do essentially, 469 00:26:43,480 --> 00:26:46,560 Speaker 1: you know, experiments in the real world instead of you know, 470 00:26:46,560 --> 00:26:49,720 Speaker 1: in a laboratory. But there's no cashier when you buy 471 00:26:49,760 --> 00:26:53,439 Speaker 1: that spaghetti before you throw it at the wall. Interesting, Well, um, 472 00:26:53,560 --> 00:26:57,160 Speaker 1: I suppose yeah, you can buy those Amazon devices on Amazon, 473 00:26:57,440 --> 00:27:00,520 Speaker 1: no people required. Also at whole food stores where there 474 00:27:00,560 --> 00:27:04,400 Speaker 1: are cashiers. It just gets better and better, doesn't it. 475 00:27:04,560 --> 00:27:07,080 Speaker 1: I will say, I go to Whole Foods, I full 476 00:27:07,080 --> 00:27:10,680 Speaker 1: disclosure on an Amazon Dot Prime customer, but I haven't 477 00:27:10,720 --> 00:27:14,240 Speaker 1: signed on for the benefit Whole Foods because it just 478 00:27:14,240 --> 00:27:17,280 Speaker 1: seems onerous and yet another password. I don't know. I 479 00:27:17,359 --> 00:27:19,280 Speaker 1: just am not seeing the crossover so much. You get 480 00:27:19,320 --> 00:27:23,760 Speaker 1: a discount, I know, yeah, it actually costs less, I know, 481 00:27:23,920 --> 00:27:26,040 Speaker 1: but then it's time. Time is money anyway, sure over 482 00:27:26,119 --> 00:27:28,240 Speaker 1: day of Bloomberg Opinion columnist. Thank you so much for 483 00:27:28,280 --> 00:27:33,760 Speaker 1: being with us. Thanks for listening to the Bloomberg P 484 00:27:33,880 --> 00:27:36,840 Speaker 1: and L podcast. You can subscribe and listen to interviews 485 00:27:36,880 --> 00:27:40,920 Speaker 1: at Apple Podcasts, SoundCloud, or whatever podcast platform you prefer. 486 00:27:41,359 --> 00:27:44,920 Speaker 1: I'm Pim Fox. I'm on Twitter at pim Fox. I'm 487 00:27:44,920 --> 00:27:48,240 Speaker 1: on Twitter at Lisa Abramo. It's one before the podcast. 488 00:27:48,280 --> 00:27:50,879 Speaker 1: You can always catch us worldwide on Bloomberg Radio