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 Bramowitz. Each day we 3 00:00:11,600 --> 00:00:15,120 Speaker 1: bring you the most important, noteworthy, and useful interviews for 4 00:00:15,200 --> 00:00:17,800 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 --> 00:00:27,840 Speaker 1: Podcast on Apple Podcasts, SoundCloud, and Bloomberg dot com. Apple 7 00:00:27,920 --> 00:00:31,240 Speaker 1: is bringing back a lot of money from overseas, and 8 00:00:31,480 --> 00:00:36,520 Speaker 1: Amazon is choosing which city it wants to put its 9 00:00:36,520 --> 00:00:40,160 Speaker 1: headquarters number two, and it has narrowed down the list 10 00:00:40,200 --> 00:00:44,720 Speaker 1: from two d cities to twenty. Here to talk about 11 00:00:44,760 --> 00:00:48,519 Speaker 1: all of this tech news is Spencer Soaper, tech reporter 12 00:00:48,600 --> 00:00:52,800 Speaker 1: in Seattle, who has been writing on the Amazon Bachelorette 13 00:00:53,760 --> 00:00:56,639 Speaker 1: show that we are currently admired in, as well as 14 00:00:56,640 --> 00:01:00,520 Speaker 1: our own shira ov Day Bloomberg Gadfly columnist ring all 15 00:01:00,640 --> 00:01:06,240 Speaker 1: things technology. Spencer, Let's start with you. Did Amazon give 16 00:01:06,280 --> 00:01:09,800 Speaker 1: any color as to its selection process and this reality 17 00:01:09,840 --> 00:01:15,160 Speaker 1: television show known as Headquarters to for Amazon? No? Not 18 00:01:15,160 --> 00:01:18,360 Speaker 1: not really? Uh? And this really looks like administrative clean up. 19 00:01:18,480 --> 00:01:21,480 Speaker 1: You know. They put out this bit for proposals and 20 00:01:21,520 --> 00:01:25,000 Speaker 1: they got way more proposals than they anticipated more than 21 00:01:25,000 --> 00:01:27,960 Speaker 1: two hundred and so it was simply matter. It was 22 00:01:27,959 --> 00:01:30,959 Speaker 1: just getting on wieldy for them. Uh and inboxes were 23 00:01:30,959 --> 00:01:34,040 Speaker 1: blowing up, you know, email boxes overflowing. So this is 24 00:01:34,120 --> 00:01:36,480 Speaker 1: kind of like an administrative cleanup. We we don't. It's 25 00:01:36,480 --> 00:01:40,000 Speaker 1: a huge, huge, very long shortlist, so it doesn't really 26 00:01:40,000 --> 00:01:42,920 Speaker 1: give much indication of anything. You know, you've got West 27 00:01:42,920 --> 00:01:47,440 Speaker 1: Coast cities, East Coast City's, Heartland cities, Southeast cities, Texas cities. Um. 28 00:01:48,400 --> 00:01:52,360 Speaker 1: But basically it's it's it includes all of the the 29 00:01:52,400 --> 00:01:56,040 Speaker 1: front runners that that people were anticipating, So it's largely 30 00:01:56,080 --> 00:01:57,960 Speaker 1: administrative cleanup and getting rid of a lot of those 31 00:01:58,000 --> 00:02:00,800 Speaker 1: smaller markets that that that likely never to the chance 32 00:02:01,480 --> 00:02:04,320 Speaker 1: Spencer at just the point about perhaps it's not a 33 00:02:04,360 --> 00:02:08,480 Speaker 1: clean up. Maybe it's a sort of an expenditure of 34 00:02:08,639 --> 00:02:11,360 Speaker 1: energy on the part of Amazon because people, of course 35 00:02:11,400 --> 00:02:14,560 Speaker 1: on the Internet, they don't get enough advertising. Um. Now 36 00:02:14,639 --> 00:02:18,519 Speaker 1: Amazon will be offering advertising, as I guess, a form 37 00:02:18,560 --> 00:02:23,799 Speaker 1: of entertainment on their website. Tell us about this move. Yeah, 38 00:02:23,840 --> 00:02:27,000 Speaker 1: well so advertising is really emerging. Um. If if you 39 00:02:27,000 --> 00:02:30,000 Speaker 1: think of Amazon and cycles right the core the core 40 00:02:30,040 --> 00:02:33,320 Speaker 1: e commerce business has grown and wild investors with this 41 00:02:33,440 --> 00:02:35,880 Speaker 1: with this tremendous top line growth and ability to steal 42 00:02:36,240 --> 00:02:39,200 Speaker 1: steel market share from Big buckstores and department stores, but 43 00:02:39,280 --> 00:02:42,520 Speaker 1: it's never been profitable. Then along came its cloud computing division, 44 00:02:42,639 --> 00:02:45,079 Speaker 1: which was also growing quickly and adding a lot to 45 00:02:45,120 --> 00:02:47,880 Speaker 1: the top line, but healthing helping profitability. And now the 46 00:02:47,960 --> 00:02:51,000 Speaker 1: latest thing we have emerging is advertising. It's another fast 47 00:02:51,000 --> 00:02:54,480 Speaker 1: growing business, but it's also extremely profitable. It doesn't require 48 00:02:54,480 --> 00:02:57,840 Speaker 1: the big investments of warehouses around the country or data 49 00:02:57,840 --> 00:03:01,120 Speaker 1: centers around the country that it's commerce business or it's 50 00:03:01,120 --> 00:03:05,120 Speaker 1: cloud computing business requires. So so investors are excited about 51 00:03:05,160 --> 00:03:07,840 Speaker 1: the revenue growth, but but more importantly excited about the 52 00:03:07,840 --> 00:03:11,360 Speaker 1: potential profit margins of the of the advertising business. Shara, 53 00:03:11,560 --> 00:03:14,040 Speaker 1: I mean, it's it's not as if some of these 54 00:03:14,080 --> 00:03:16,360 Speaker 1: tech companies need more cash, but it seems like the 55 00:03:16,360 --> 00:03:19,560 Speaker 1: cash is just flowing in, and the question now is 56 00:03:19,760 --> 00:03:25,160 Speaker 1: really how they plan to spend it. And Apple said 57 00:03:25,200 --> 00:03:28,120 Speaker 1: that it was going to be bringing back what thirty 58 00:03:28,240 --> 00:03:31,639 Speaker 1: billion dollars of cash. What did they say exactly, Well, 59 00:03:31,639 --> 00:03:34,120 Speaker 1: they didn't say exactly, but if there's they did say 60 00:03:34,240 --> 00:03:37,200 Speaker 1: they're expecting to spend expected to pay a tax bill 61 00:03:37,200 --> 00:03:39,720 Speaker 1: of thirty eight billion dollars on their overseas cash, which 62 00:03:39,760 --> 00:03:43,040 Speaker 1: implies that they're going to bring back to the US 63 00:03:43,200 --> 00:03:47,440 Speaker 1: something like two forty billion dollars of their overseas cash stockpile. 64 00:03:47,560 --> 00:03:48,840 Speaker 1: And where is that going to go? Do you think? 65 00:03:49,080 --> 00:03:52,040 Speaker 1: I don't know. That's a very good question. Um. So 66 00:03:52,080 --> 00:03:55,480 Speaker 1: it's worth saying right that Apple, you know, patted itself 67 00:03:55,480 --> 00:03:58,440 Speaker 1: on the back for paying the US Treasury thirty eight 68 00:03:58,440 --> 00:04:01,760 Speaker 1: billion dollars. But the reasons paying that some now is 69 00:04:01,800 --> 00:04:06,960 Speaker 1: that it's parked two billion dollars or so of cash 70 00:04:07,000 --> 00:04:10,680 Speaker 1: that it considered permanently reinvested in its overseas operations because 71 00:04:10,720 --> 00:04:13,440 Speaker 1: it didn't want to pay taxes on that money until now. 72 00:04:13,640 --> 00:04:17,280 Speaker 1: I believe the tax rate was too high. So now 73 00:04:17,320 --> 00:04:20,599 Speaker 1: with the new tax code changes, that tax rate goes 74 00:04:20,640 --> 00:04:23,080 Speaker 1: down to fifteen and a half percent. So Apple thinks, well, 75 00:04:23,120 --> 00:04:25,760 Speaker 1: this is a good opportunity to bring that cash home, 76 00:04:25,839 --> 00:04:29,320 Speaker 1: and it's gonna owe that tax bill regardless of whether 77 00:04:29,400 --> 00:04:31,600 Speaker 1: it brings the money back to the U S or not. 78 00:04:31,960 --> 00:04:34,880 Speaker 1: So it's gonna have something like two hundred billion dollars 79 00:04:34,960 --> 00:04:38,799 Speaker 1: remaining after it pays taxes um on that cash stockpile. 80 00:04:38,920 --> 00:04:41,200 Speaker 1: And I think investors expect the company to spend it 81 00:04:41,240 --> 00:04:44,120 Speaker 1: on things like stock buybacks, which is maybe not what 82 00:04:44,440 --> 00:04:47,520 Speaker 1: Donald Trump and his crew had in mind when they 83 00:04:47,600 --> 00:04:51,799 Speaker 1: passed these large tax code changes. But Apple has also 84 00:04:51,880 --> 00:04:54,520 Speaker 1: said what that they will consider spending some of this 85 00:04:54,640 --> 00:04:58,159 Speaker 1: to expand their real estate empire. They're gonna be adding 86 00:04:58,160 --> 00:05:01,400 Speaker 1: maybe a new office. Uh of what could they be 87 00:05:01,480 --> 00:05:04,400 Speaker 1: spending it on, at least domestically, right, so their Apple's 88 00:05:04,440 --> 00:05:09,719 Speaker 1: announcement yesterday did include some disclosures about US investments and spending. 89 00:05:10,160 --> 00:05:11,760 Speaker 1: I have to say, it's hard to know how much 90 00:05:11,800 --> 00:05:14,640 Speaker 1: of that would have been done regardless of whether the 91 00:05:14,680 --> 00:05:18,840 Speaker 1: tax code changed. So, yes, the company did announce that 92 00:05:18,839 --> 00:05:21,640 Speaker 1: they're going to open a new location somewhere in the 93 00:05:21,720 --> 00:05:26,440 Speaker 1: US specifics TBD that will house customer service kind of personnel, 94 00:05:26,480 --> 00:05:29,880 Speaker 1: at least initially. Again, it's possible they may have done 95 00:05:29,880 --> 00:05:33,479 Speaker 1: that anyway. They have a customer service location in near Austin, 96 00:05:33,520 --> 00:05:37,760 Speaker 1: Texas already, And they made some disclosures about hiring twenty 97 00:05:38,160 --> 00:05:40,520 Speaker 1: people in the US, although they already have eighty four 98 00:05:40,600 --> 00:05:43,279 Speaker 1: thousand employees in the U S and it's likely that 99 00:05:43,640 --> 00:05:45,599 Speaker 1: at the rate that they've been adding to that, the 100 00:05:45,640 --> 00:05:49,040 Speaker 1: twenty people in five years is not a deviation from 101 00:05:49,080 --> 00:05:52,320 Speaker 1: their current rate. So Spencer, come on in here, because 102 00:05:52,560 --> 00:05:55,360 Speaker 1: Shia is talking about a ton of expansion here and 103 00:05:55,440 --> 00:05:59,520 Speaker 1: hiring plans. Those hires have to go somewhere. And I'm wondering, 104 00:05:59,600 --> 00:06:01,840 Speaker 1: you know, Amazon is getting all the attention, but are 105 00:06:01,839 --> 00:06:05,599 Speaker 1: there other big tech companies that are also erecting new 106 00:06:05,640 --> 00:06:10,360 Speaker 1: buildings and you know, hiring mass at workforces, and are 107 00:06:10,400 --> 00:06:15,120 Speaker 1: these are these cities lobbying for for that activity as well? Well? 108 00:06:15,160 --> 00:06:17,560 Speaker 1: I think that the Amazon is Q two just by 109 00:06:17,560 --> 00:06:19,560 Speaker 1: the nature of its size, has kind of sucked all 110 00:06:19,600 --> 00:06:21,680 Speaker 1: the oxygen out of the room. But yes, I mean 111 00:06:21,680 --> 00:06:25,960 Speaker 1: cities are are always looking for any type of economic development, 112 00:06:25,960 --> 00:06:30,560 Speaker 1: even even even uh small businesses maybe creating fifty or 113 00:06:30,560 --> 00:06:34,320 Speaker 1: so jobs will get an audience and will get incentives 114 00:06:34,360 --> 00:06:37,560 Speaker 1: depending on the market and the the attract The attraction 115 00:06:37,560 --> 00:06:39,760 Speaker 1: of the tech jobs is this generally you know, clean 116 00:06:39,880 --> 00:06:44,520 Speaker 1: office type setting um jobs that pay good wages. And 117 00:06:44,560 --> 00:06:49,119 Speaker 1: that's always the uh, the problem or the detension around 118 00:06:49,200 --> 00:06:52,400 Speaker 1: job creation tax credits is, Okay, we want job growth, 119 00:06:52,400 --> 00:06:54,880 Speaker 1: but what kind of jobs are we investing in? And 120 00:06:54,920 --> 00:06:58,080 Speaker 1: you know, good paying, high skilled tech jobs generally worth 121 00:06:58,080 --> 00:07:00,440 Speaker 1: the investment in terms of that that ripple effect, people 122 00:07:00,440 --> 00:07:02,720 Speaker 1: are enough to buy homes and and spend elsewhere in 123 00:07:02,720 --> 00:07:06,400 Speaker 1: the economy. Sure, you heard the spencer, and we're talking 124 00:07:06,440 --> 00:07:09,640 Speaker 1: about the advertising business that Amazon is looking for. Who 125 00:07:09,640 --> 00:07:14,000 Speaker 1: gets hit by that? Facebook? Google? Probably not. I mean 126 00:07:14,040 --> 00:07:16,160 Speaker 1: it's and I think Spencer did a good job in 127 00:07:16,240 --> 00:07:18,880 Speaker 1: his story kind of talking about the potential losers there. 128 00:07:19,080 --> 00:07:22,720 Speaker 1: It doesn't seem like the money that's being spent on 129 00:07:22,960 --> 00:07:25,680 Speaker 1: advertisements on Amazon isn't necessarily money that would have been 130 00:07:25,720 --> 00:07:29,560 Speaker 1: spent on Facebook, Um or Google anyway. But you know 131 00:07:29,640 --> 00:07:32,960 Speaker 1: that's the kind of money that companies spend places like 132 00:07:33,160 --> 00:07:38,960 Speaker 1: Walmart right to get better shelf placement at big box stores. Right, 133 00:07:38,960 --> 00:07:41,480 Speaker 1: those are the kinds of budgets that are maybe instead 134 00:07:41,560 --> 00:07:44,040 Speaker 1: shifting to Amazon, which is now getting the sort of 135 00:07:44,080 --> 00:07:47,800 Speaker 1: equivalent of money to put tide at at on the 136 00:07:47,800 --> 00:07:52,840 Speaker 1: shelves at eye level. I see. So that the button right, 137 00:07:52,920 --> 00:07:56,640 Speaker 1: the tide buttons or what do they called, the Amazon 138 00:07:56,760 --> 00:08:00,880 Speaker 1: sells you that, thank you, Spencer, that they're not doing 139 00:08:00,920 --> 00:08:05,000 Speaker 1: their job. You've got to have advertising and addition, right Spencer. Yeah, 140 00:08:05,080 --> 00:08:08,000 Speaker 1: and and what Sure just mentioned this. If you look 141 00:08:08,040 --> 00:08:13,480 Speaker 1: at traditional marketing, especially big CpG brands, consumer package goods brands. 142 00:08:13,480 --> 00:08:15,600 Speaker 1: These are the products that are lining the shelves of 143 00:08:15,600 --> 00:08:19,720 Speaker 1: a supermarket. Uh. They've they've developed a program over years 144 00:08:19,760 --> 00:08:24,320 Speaker 1: of a combination of TV commercials, radio commercials, display advertising 145 00:08:24,320 --> 00:08:28,080 Speaker 1: in newspapers and magazines, coupons in your mailbox, and what 146 00:08:28,200 --> 00:08:30,440 Speaker 1: Amazon brings is kind of a one stop solution for 147 00:08:30,480 --> 00:08:33,559 Speaker 1: all of that UM and even even the in store placement. 148 00:08:33,600 --> 00:08:36,319 Speaker 1: They call it like trade promotional, but basically they're paying 149 00:08:36,320 --> 00:08:38,720 Speaker 1: for an end cap or they might even not necessarily 150 00:08:38,760 --> 00:08:41,440 Speaker 1: be paying the retailer, but offering a discounted price that 151 00:08:41,480 --> 00:08:44,200 Speaker 1: that retailer come promote to get an end cap placement 152 00:08:44,200 --> 00:08:47,920 Speaker 1: in the store. UM that that's spending, all of that 153 00:08:47,960 --> 00:08:52,440 Speaker 1: combined is like two billion dollars for consumer package for 154 00:08:52,440 --> 00:08:55,000 Speaker 1: goods companies. So even if Amazon takes us takes the 155 00:08:55,040 --> 00:08:56,480 Speaker 1: piece of that, there's a lot of room for a 156 00:08:56,559 --> 00:08:59,760 Speaker 1: lot of ceiling there. Thanks very much, Spencer Soaper, Bloomberg 157 00:08:59,760 --> 00:09:02,240 Speaker 1: News reporter, and our thanks also to share over Day, 158 00:09:02,360 --> 00:09:09,360 Speaker 1: Bloomberg Gadfly columnist. We turn our attention now to the 159 00:09:09,360 --> 00:09:12,520 Speaker 1: world of NAFTA and trade with Jacques Gordon he Is 160 00:09:12,600 --> 00:09:15,400 Speaker 1: Kellogg School of Management, Real Estate professor and the global 161 00:09:15,440 --> 00:09:19,559 Speaker 1: head of research and strategy for LaSalle Investment Management that 162 00:09:19,679 --> 00:09:22,400 Speaker 1: helped to manage more than sixty billion dollars worth of 163 00:09:22,720 --> 00:09:25,320 Speaker 1: real estate assets. Jacques, thank you very much for being 164 00:09:25,520 --> 00:09:28,360 Speaker 1: with us. You know. President Donald Trump yesterday said that 165 00:09:28,520 --> 00:09:31,760 Speaker 1: terminating the North American Free Trade Agreement would result in 166 00:09:32,000 --> 00:09:36,559 Speaker 1: the quote best deal to fix the twenty four year 167 00:09:36,559 --> 00:09:40,760 Speaker 1: old trade packed between Canada, Mexico and the United States. 168 00:09:41,320 --> 00:09:47,720 Speaker 1: But lawmakers, industrial groups, agricultural proponents, they all say this 169 00:09:47,800 --> 00:09:51,280 Speaker 1: is not a good idea. What do you glean from 170 00:09:51,280 --> 00:09:56,720 Speaker 1: this back and forth? Well, it could be posturing. UM. 171 00:09:56,760 --> 00:10:02,320 Speaker 1: Of course, the US President has um UH spoken on 172 00:10:02,400 --> 00:10:05,240 Speaker 1: both sides of this issue at some point, saying that 173 00:10:05,280 --> 00:10:08,400 Speaker 1: he was a little bit flexible about NAFTA last week 174 00:10:08,480 --> 00:10:12,080 Speaker 1: and then this week. UH certainly heading into the sixth 175 00:10:12,160 --> 00:10:16,320 Speaker 1: round of discussions UH scheduled up in Canada and Montreal 176 00:10:16,360 --> 00:10:19,000 Speaker 1: and January twenty three. It could be it could be 177 00:10:19,080 --> 00:10:21,440 Speaker 1: just being able to put a bit of fear of 178 00:10:21,440 --> 00:10:25,959 Speaker 1: God into the other trade representatives from Mexico and Canada. 179 00:10:26,000 --> 00:10:30,080 Speaker 1: Who knows, UM, But in the world of real estate, 180 00:10:30,200 --> 00:10:34,640 Speaker 1: similar to other industries, we are watching, UH. The NAFTA 181 00:10:34,800 --> 00:10:39,200 Speaker 1: negotiations with great interest. UM I think real estate is 182 00:10:39,240 --> 00:10:43,040 Speaker 1: not UM in the direct line of path of the 183 00:10:43,520 --> 00:10:47,920 Speaker 1: of the of the NAFTA negotiations. But but we're watching 184 00:10:48,000 --> 00:10:53,960 Speaker 1: them carefully because of course the UM manufacturers, agriculture industries, 185 00:10:54,080 --> 00:10:57,440 Speaker 1: financial services industries, well, those those folks are all tenants 186 00:10:57,440 --> 00:11:01,320 Speaker 1: in our buildings, and so UM my firm and others 187 00:11:01,600 --> 00:11:05,719 Speaker 1: have huge operations UM in in all three countries, and 188 00:11:05,800 --> 00:11:10,480 Speaker 1: we'll be watching carefully for any UM any rollback that 189 00:11:10,640 --> 00:11:13,560 Speaker 1: makes it harder for our tenants to do business. And 190 00:11:13,600 --> 00:11:17,320 Speaker 1: that's that's really the focus that probably most real estate 191 00:11:17,360 --> 00:11:21,679 Speaker 1: people are watching very careful. You have big firms like Brookfield, 192 00:11:21,880 --> 00:11:27,000 Speaker 1: like LaSalle, um many firms who are are investing UH 193 00:11:27,000 --> 00:11:32,000 Speaker 1: and and operating large portfolios of property across the borders 194 00:11:32,040 --> 00:11:35,320 Speaker 1: of Canada, US and Mexico. So so we do care 195 00:11:35,320 --> 00:11:39,520 Speaker 1: about this topic as well. Amazon, for example, released their 196 00:11:39,760 --> 00:11:45,360 Speaker 1: shortlist can I put short in air quotes twenties cities 197 00:11:45,760 --> 00:11:49,640 Speaker 1: for their potential headquartered to UH, and it basically is 198 00:11:49,640 --> 00:11:52,560 Speaker 1: who's who of cities in North America. But it included Toronto, 199 00:11:52,600 --> 00:11:55,640 Speaker 1: which I thought was very interesting and I'm just wondering, 200 00:11:55,679 --> 00:11:58,280 Speaker 1: can you walk us through what the real estate effects 201 00:11:58,280 --> 00:12:01,800 Speaker 1: would be on a city that one this golden ticket 202 00:12:01,880 --> 00:12:05,680 Speaker 1: that Amazon is kind of hanging out there. Well, we said, 203 00:12:05,760 --> 00:12:10,640 Speaker 1: the real estate world is is really watching this carefully because, UM, 204 00:12:11,280 --> 00:12:14,880 Speaker 1: what's happening is is all of those um what was 205 00:12:14,920 --> 00:12:19,160 Speaker 1: it two thirty cities UH not only said, uh, do 206 00:12:19,240 --> 00:12:22,720 Speaker 1: we welcome Amazon, and we've got the workforce and we've 207 00:12:22,720 --> 00:12:25,920 Speaker 1: got the tax abatements, but we have the locations, we 208 00:12:26,040 --> 00:12:29,920 Speaker 1: have the buildings, we have the real estate development UH 209 00:12:29,960 --> 00:12:33,600 Speaker 1: expertise to handle you. Now we're down to twenty and 210 00:12:33,760 --> 00:12:40,840 Speaker 1: Toronto is very competitive on on all those fronts. And UM, 211 00:12:41,360 --> 00:12:44,400 Speaker 1: just as a good example, Sidewalk Labs, which is part 212 00:12:44,440 --> 00:12:49,040 Speaker 1: of Alphabet, part of that that enormous UH empire UM 213 00:12:49,080 --> 00:12:54,840 Speaker 1: that UH is UM looking at doing more in cities, 214 00:12:55,200 --> 00:12:59,120 Speaker 1: has chosen Toronto as a place where they will basically 215 00:12:59,160 --> 00:13:01,240 Speaker 1: be working on de oping a city of the future. 216 00:13:01,440 --> 00:13:04,760 Speaker 1: It wouldn't surprise me that that that whole effort and 217 00:13:04,920 --> 00:13:08,840 Speaker 1: the Amazon bid that Toronto put forward was linked in 218 00:13:08,880 --> 00:13:11,800 Speaker 1: some way. Uh. I think all these cities are trying 219 00:13:11,800 --> 00:13:14,720 Speaker 1: to say, look, we're the place where knowledge industries are 220 00:13:14,840 --> 00:13:17,680 Speaker 1: are going to be comfortable, and a firm like Amazon 221 00:13:17,760 --> 00:13:23,080 Speaker 1: should consider Toronto very very seriously. I I it makes 222 00:13:23,120 --> 00:13:26,359 Speaker 1: total sense to me that Toronto is on the list. Um. 223 00:13:26,440 --> 00:13:28,680 Speaker 1: Of course they're gonna have a tough competition with the 224 00:13:28,760 --> 00:13:32,840 Speaker 1: likes of Washington, d C. And Boston and Atlanta and Austin, 225 00:13:32,880 --> 00:13:35,640 Speaker 1: who are all on the list as well. But um, 226 00:13:36,480 --> 00:13:41,720 Speaker 1: luckily so I think. I think in terms of location, location, location, um, Vancouver, 227 00:13:42,400 --> 00:13:47,439 Speaker 1: um uh, Toronto, um uh. These these cities compete right 228 00:13:47,480 --> 00:13:51,720 Speaker 1: alongside American cities for jobs when things get expensive in 229 00:13:51,720 --> 00:13:56,000 Speaker 1: incoding world in in San Francisco. Vancouver is a place 230 00:13:56,040 --> 00:13:58,760 Speaker 1: that UM tech firms like to go as a way 231 00:13:58,800 --> 00:14:02,800 Speaker 1: to diversify their operations. So there's a lot of just 232 00:14:03,200 --> 00:14:08,439 Speaker 1: um integration of of the way that companies in technology 233 00:14:08,640 --> 00:14:11,120 Speaker 1: as well as the ones I know Bloomberg's covering on 234 00:14:11,280 --> 00:14:15,440 Speaker 1: industrial auto manufacturing, agriculture. Of course those supply chains are 235 00:14:15,440 --> 00:14:18,240 Speaker 1: all integrated across three countries too, But there are a 236 00:14:18,320 --> 00:14:21,560 Speaker 1: lot of other industries real estate being one, financial services 237 00:14:21,600 --> 00:14:25,880 Speaker 1: being another, technology being another, that really operate pretty seamlessly 238 00:14:26,040 --> 00:14:30,200 Speaker 1: across across all three borders. So um um, you know, 239 00:14:30,560 --> 00:14:34,240 Speaker 1: it's it's very difficult to to read what uh Robert 240 00:14:34,520 --> 00:14:38,000 Speaker 1: Leightheiser maybe thinking, and what what the White House may 241 00:14:38,000 --> 00:14:40,680 Speaker 1: be thinking as they go into the Montreal talks. But 242 00:14:41,440 --> 00:14:45,240 Speaker 1: we're all hoping that a complete rollback of NAFTA is 243 00:14:45,280 --> 00:14:49,120 Speaker 1: just posturing and not really, not really, not really on 244 00:14:49,160 --> 00:14:51,880 Speaker 1: the table. Jack Gordon, thank you so much for joining us. 245 00:14:51,840 --> 00:14:54,680 Speaker 1: As Jacques Gordon is global head of Research and Strategy 246 00:14:54,760 --> 00:14:59,560 Speaker 1: for LaSalle Investment Management, which oversees nearly sixty billion dollars 247 00:14:59,560 --> 00:15:02,480 Speaker 1: in US. It's also professor of real estated Kellogg School 248 00:15:02,520 --> 00:15:09,920 Speaker 1: of Management. Coming to us from Chicago, he says that 249 00:15:10,000 --> 00:15:14,160 Speaker 1: the traditional approach to being a passive, intermediate maturity focused 250 00:15:14,200 --> 00:15:18,960 Speaker 1: investors seeking income only is no longer suitable for municipal 251 00:15:19,040 --> 00:15:21,960 Speaker 1: bond investors. Well, here to tell us why is Bob 252 00:15:22,080 --> 00:15:24,960 Speaker 1: de Mella. He is the co head of Municipal Managers 253 00:15:24,960 --> 00:15:27,600 Speaker 1: from McCay Shields, helping to manage more than twenty three 254 00:15:27,640 --> 00:15:31,160 Speaker 1: billion dollars. He joins us in our eleven three oh studios. Bob, 255 00:15:31,200 --> 00:15:33,600 Speaker 1: thank you very much for coming in. So why is 256 00:15:33,640 --> 00:15:38,120 Speaker 1: that no longer a suitable perspective for investors? I think 257 00:15:38,120 --> 00:15:39,760 Speaker 1: what has happened is, if you look at the shape 258 00:15:39,760 --> 00:15:42,240 Speaker 1: of the municipal yield curve, your average investor in the 259 00:15:42,320 --> 00:15:46,200 Speaker 1: high grade intermediate space no longer has a reasonable income 260 00:15:46,240 --> 00:15:48,560 Speaker 1: stream anymore, and that's the primary goal for a bond 261 00:15:48,640 --> 00:15:51,280 Speaker 1: or a bond strategy, right, but you also have a 262 00:15:51,360 --> 00:15:54,040 Speaker 1: reasonable amount of duration risk in that space. And so 263 00:15:54,200 --> 00:15:57,840 Speaker 1: we're advising clients to actually move away from either a 264 00:15:57,880 --> 00:16:00,360 Speaker 1: little longer out the yield curve or a barbell st ategy, 265 00:16:00,400 --> 00:16:03,200 Speaker 1: which is even better. That's going to make a big 266 00:16:03,240 --> 00:16:05,840 Speaker 1: difference for them on an income stream and also potential 267 00:16:05,880 --> 00:16:08,960 Speaker 1: total return. Especially give on our outlook with regards to 268 00:16:08,960 --> 00:16:10,600 Speaker 1: the yield curve, What do you mean to mean? Because 269 00:16:10,640 --> 00:16:13,080 Speaker 1: I'm looking, for example, at a tenure in New York State, 270 00:16:13,120 --> 00:16:18,040 Speaker 1: you'll get about two correct, and so uh as an example, 271 00:16:18,080 --> 00:16:20,960 Speaker 1: we have our our our flagship National fund, you can 272 00:16:20,960 --> 00:16:23,080 Speaker 1: attain around a three and a quarter three and a 273 00:16:23,120 --> 00:16:26,840 Speaker 1: half percent yield um if you're taking more of a 274 00:16:26,840 --> 00:16:29,400 Speaker 1: barbell strategy, being a little more creative with regards to 275 00:16:29,440 --> 00:16:31,800 Speaker 1: the yield curve. The problem with that bond that you 276 00:16:31,880 --> 00:16:34,480 Speaker 1: just pointed out, right, it's it's a two percent yield, 277 00:16:34,760 --> 00:16:37,360 Speaker 1: it's an eight year duration and so therefore it doesn't 278 00:16:37,360 --> 00:16:39,840 Speaker 1: take much of a rise in rates and and then 279 00:16:39,920 --> 00:16:43,240 Speaker 1: your net total return is negative and you're kind of 280 00:16:43,240 --> 00:16:45,520 Speaker 1: playing catch up with that, and so we think income 281 00:16:45,600 --> 00:16:48,520 Speaker 1: is really important, and so people should look at their 282 00:16:48,640 --> 00:16:51,680 Speaker 1: overweight allocations that they have today with the high grade 283 00:16:51,720 --> 00:16:55,200 Speaker 1: intermediate part of the municipal yield curve and and allocate 284 00:16:55,240 --> 00:16:58,160 Speaker 1: away from that. Let's just seem out a little bit 285 00:16:58,440 --> 00:17:00,880 Speaker 1: in just to take a look at the municipal bond 286 00:17:00,920 --> 00:17:04,359 Speaker 1: category as an asset class. There was a three point 287 00:17:04,440 --> 00:17:09,119 Speaker 1: one billion dollar in flow into municipal bond funds in 288 00:17:09,160 --> 00:17:12,480 Speaker 1: the week end in January. This set an all time 289 00:17:12,560 --> 00:17:14,960 Speaker 1: high record. This was from i c I, the Investment 290 00:17:15,280 --> 00:17:20,840 Speaker 1: Company Institution for UH for investment managers, and I have 291 00:17:21,000 --> 00:17:24,200 Speaker 1: to wonder, you know, this follows pretty steady flows, not 292 00:17:24,359 --> 00:17:27,040 Speaker 1: this high. There's a lot of demand for this stuff 293 00:17:27,119 --> 00:17:29,240 Speaker 1: right now that should be good for municipal bonds. Now. 294 00:17:30,119 --> 00:17:31,840 Speaker 1: It is definitely good for bonds, and it's one of 295 00:17:31,840 --> 00:17:34,280 Speaker 1: our main themes for two thousand eighteen. We believe the 296 00:17:34,320 --> 00:17:37,480 Speaker 1: municipal marketplace. One of our insights at Mackay is that 297 00:17:37,560 --> 00:17:40,920 Speaker 1: the ratios of one of the relative value ratios that's 298 00:17:40,920 --> 00:17:44,680 Speaker 1: always used is muni triple a yields versus triple A treasuries. 299 00:17:45,320 --> 00:17:48,000 Speaker 1: Historically on the long ends around eight percent. We believe 300 00:17:48,040 --> 00:17:50,760 Speaker 1: you're going to test twenty year lows this year, in 301 00:17:50,800 --> 00:17:54,720 Speaker 1: other words, that the yields on municipal bonds will fall 302 00:17:55,040 --> 00:17:58,359 Speaker 1: much lower relative to treasuries than in the past has 303 00:17:58,400 --> 00:18:01,280 Speaker 1: been sustainable. Correct, And a couple of different reasons for that. 304 00:18:01,320 --> 00:18:06,360 Speaker 1: One is technicals, really strong demand, increasing demand, especially for 305 00:18:06,520 --> 00:18:09,560 Speaker 1: high tax states like California, New York, New Jersey. In 306 00:18:09,640 --> 00:18:13,280 Speaker 1: addition to a significant reduction in supply, tax reform has 307 00:18:13,320 --> 00:18:16,199 Speaker 1: a big reduction in supply going into two thousand eighteen. 308 00:18:16,800 --> 00:18:19,600 Speaker 1: So here's what I'm struggling with. Because we hear about 309 00:18:19,800 --> 00:18:23,320 Speaker 1: the the infrastructure problems that a lot of states are having, 310 00:18:23,560 --> 00:18:26,040 Speaker 1: not hearing a lot about how that's going to get financed. 311 00:18:26,080 --> 00:18:30,080 Speaker 1: There's certainly some issues with high tax states. What's the 312 00:18:30,160 --> 00:18:34,480 Speaker 1: revenue going to look like? Given potential exodus is on 313 00:18:34,520 --> 00:18:38,359 Speaker 1: the heels of this tax plan? Um, how are you 314 00:18:38,400 --> 00:18:41,359 Speaker 1: thinking about that? Does that concern you at all? Yeah? 315 00:18:41,359 --> 00:18:44,880 Speaker 1: So you have to Yeah, absolutely, I mean you picked 316 00:18:44,920 --> 00:18:47,399 Speaker 1: the you picked the problem. I'll give you you know. Yeah, No, 317 00:18:47,560 --> 00:18:51,520 Speaker 1: there's there's absolutely, But the municipal marketplace is a very 318 00:18:51,560 --> 00:18:56,120 Speaker 1: strong credit worthy marketplace and without issues, no but most 319 00:18:56,119 --> 00:18:59,040 Speaker 1: states have done pension reform. The overall credit characteristics of 320 00:18:59,119 --> 00:19:02,560 Speaker 1: the municipal marketplace is very positive. Infrastructure will definitely play 321 00:19:02,600 --> 00:19:04,440 Speaker 1: out with it. As you know, Washington, d C. Is 322 00:19:04,440 --> 00:19:08,640 Speaker 1: grappling with some kind of infrastructure solution. The infrastructure need 323 00:19:08,680 --> 00:19:11,800 Speaker 1: in the in the United States will not be born 324 00:19:12,440 --> 00:19:14,919 Speaker 1: municipal entities. As a matter of fact, you have seen it. 325 00:19:14,960 --> 00:19:17,520 Speaker 1: They've pulled away from a lot of the projects. We've 326 00:19:17,600 --> 00:19:19,880 Speaker 1: had an introduction of the P three structures to public 327 00:19:19,960 --> 00:19:23,840 Speaker 1: private partnerships, which is part of the funding for um 328 00:19:25,040 --> 00:19:29,440 Speaker 1: tapan Zee Bridge replacement, Gothel's Bridge and also LaGuardia terminal replacement. 329 00:19:29,760 --> 00:19:32,840 Speaker 1: That brings private equity, private debt into the mix in 330 00:19:32,880 --> 00:19:36,680 Speaker 1: addition to yes taxpayer municipal bonds. And so we actually 331 00:19:36,720 --> 00:19:39,240 Speaker 1: think the supply of the municipal marketplace this year is 332 00:19:39,280 --> 00:19:42,440 Speaker 1: going to shrink. The new issue volume is probably gonna drop. 333 00:19:43,600 --> 00:19:46,760 Speaker 1: That's a big reduction, Bob. I'm just go back to 334 00:19:46,800 --> 00:19:50,359 Speaker 1: this idea of having to change the way you view 335 00:19:50,560 --> 00:19:54,800 Speaker 1: municipal bond investing because of the tax overhaul. If you 336 00:19:54,920 --> 00:19:58,040 Speaker 1: hold whatever bonds you purchased and maturity and you're okay 337 00:19:58,080 --> 00:20:00,320 Speaker 1: with the interest rate, that you're getting I assume that 338 00:20:00,440 --> 00:20:03,280 Speaker 1: you should be smiling at the end of that particular term, correct. 339 00:20:03,800 --> 00:20:06,560 Speaker 1: So I'm wondering about the alignment of interest because if 340 00:20:06,600 --> 00:20:11,359 Speaker 1: you're a manager of municipal debt, your interest obviously is 341 00:20:11,400 --> 00:20:14,040 Speaker 1: to make sure that you don't show any big capital losses. 342 00:20:14,320 --> 00:20:17,080 Speaker 1: But if you're an actual investor, you don't really care 343 00:20:17,080 --> 00:20:19,760 Speaker 1: in terms of the interim what happens to your capital. 344 00:20:19,800 --> 00:20:21,320 Speaker 1: You just want to get paid and you know you're 345 00:20:21,320 --> 00:20:23,720 Speaker 1: gonna get your money back at the end, So why 346 00:20:24,160 --> 00:20:26,520 Speaker 1: go further out on the yield curve for that extra 347 00:20:26,560 --> 00:20:29,800 Speaker 1: bit of yield? Um In in many cases it's not 348 00:20:29,880 --> 00:20:31,840 Speaker 1: just a little extra bit of yield. And I'm not 349 00:20:31,880 --> 00:20:34,840 Speaker 1: talking about increasing your interst rate risk again I throughout 350 00:20:34,840 --> 00:20:38,199 Speaker 1: Barbell strategy. With a Barbel strategy, you're not increasing your 351 00:20:38,240 --> 00:20:42,440 Speaker 1: duration risk, and you actually can actually something short term, 352 00:20:42,520 --> 00:20:44,719 Speaker 1: you can match it with something short term exactly, and 353 00:20:44,760 --> 00:20:47,000 Speaker 1: you can insulate yourself from the risk that what have 354 00:20:47,080 --> 00:20:49,840 Speaker 1: happens if the shape of the municipal yield curve shifts. 355 00:20:49,880 --> 00:20:53,199 Speaker 1: As an example, with tax reform, there's the potential for 356 00:20:53,920 --> 00:20:56,960 Speaker 1: banks and property and casualty insurance company reducing their exposures 357 00:20:57,000 --> 00:20:59,480 Speaker 1: in the municipal marketplace because their tax rates have come down. 358 00:21:00,040 --> 00:21:03,639 Speaker 1: Banks and property casually insurance companies are own very large 359 00:21:03,680 --> 00:21:07,080 Speaker 1: books of high grade intermediate municipal bonds. Now, I don't 360 00:21:07,080 --> 00:21:09,440 Speaker 1: think they're gonna be net sellers per se, but they're 361 00:21:09,480 --> 00:21:11,960 Speaker 1: certainly got not going to be marginal buyers in two 362 00:21:11,960 --> 00:21:14,320 Speaker 1: thousand eighteen. So what's going to happen in that part 363 00:21:14,359 --> 00:21:17,040 Speaker 1: of the yield curve versus the rest of the yield curve. 364 00:21:17,119 --> 00:21:20,920 Speaker 1: So I'm an active municipal bond money manager. I can 365 00:21:20,960 --> 00:21:23,520 Speaker 1: absolutely sit there in front of a client and say, listen, 366 00:21:24,000 --> 00:21:27,800 Speaker 1: look and think actively in the municipal space. You're absolutely right, Pimp. 367 00:21:27,960 --> 00:21:30,880 Speaker 1: Most clients don't think actively in the community book. They 368 00:21:30,880 --> 00:21:33,840 Speaker 1: put it aside. It's low risk, low ball, and as 369 00:21:33,880 --> 00:21:36,960 Speaker 1: long as it gives them a reasonable tax exempt income stream. 370 00:21:37,000 --> 00:21:39,040 Speaker 1: Here at Mackay we're a little different. We say I'm 371 00:21:39,040 --> 00:21:41,640 Speaker 1: gonna give you capital preservation. I'm also going to give 372 00:21:41,640 --> 00:21:44,480 Speaker 1: you a slightly better than attractive income stream, but also 373 00:21:44,480 --> 00:21:46,879 Speaker 1: I'm gonna look at the entire municipal marketplace from a 374 00:21:46,920 --> 00:21:49,960 Speaker 1: total return lens. Because at the end of five or 375 00:21:50,000 --> 00:21:52,120 Speaker 1: ten years, as you pointed out with your time horizon 376 00:21:52,560 --> 00:21:55,400 Speaker 1: if I can be a little more opportunistic and make 377 00:21:55,440 --> 00:21:59,280 Speaker 1: money for you in between. With some certain strategies you're after. 378 00:21:59,359 --> 00:22:03,960 Speaker 1: Tax return is substantially better without a significant increase in risk. 379 00:22:04,600 --> 00:22:07,159 Speaker 1: Real quick. To your clients, understand what you tell them 380 00:22:07,160 --> 00:22:09,600 Speaker 1: when you explain this to them. Yeah, we have you 381 00:22:09,600 --> 00:22:11,720 Speaker 1: know what, we have a great clientele base, not only 382 00:22:11,760 --> 00:22:14,040 Speaker 1: in the in the pure retail space, but the ultrahan 383 00:22:14,119 --> 00:22:17,440 Speaker 1: net worth family office client space. We are different, so 384 00:22:17,480 --> 00:22:20,960 Speaker 1: I'm I'm a different participant, our team is different in 385 00:22:21,000 --> 00:22:24,000 Speaker 1: the municipal marketplace. We absolutely look at it through a 386 00:22:24,040 --> 00:22:27,480 Speaker 1: total return lens. There's opportunities out there as to how 387 00:22:27,560 --> 00:22:30,400 Speaker 1: you you can make money UM, and there's other risks 388 00:22:30,440 --> 00:22:32,440 Speaker 1: out there with it. Right. Our insights this year talk 389 00:22:32,480 --> 00:22:34,800 Speaker 1: about it's a return and a risk profile in the 390 00:22:34,880 --> 00:22:37,119 Speaker 1: current year. I think when you look at the different 391 00:22:37,119 --> 00:22:40,560 Speaker 1: credit and yield curve UM issues with regards to not 392 00:22:40,600 --> 00:22:43,240 Speaker 1: only tax reform, but everything else that's going on with 393 00:22:43,280 --> 00:22:46,280 Speaker 1: regards to the federal Reserve. Yes, i am I will 394 00:22:46,440 --> 00:22:49,480 Speaker 1: sound different than most money managers in the municipal space. 395 00:22:49,840 --> 00:22:51,720 Speaker 1: Bob Damela, thank you so much for joining us. Bob 396 00:22:51,720 --> 00:22:58,159 Speaker 1: Tamela as co head of the Mackay Municipal managers. Another 397 00:22:58,359 --> 00:23:01,240 Speaker 1: story that we're keeping track of is Airbus, which seems 398 00:23:01,240 --> 00:23:04,159 Speaker 1: to be getting a lifeline. I want to bring in 399 00:23:04,200 --> 00:23:08,680 Speaker 1: George Ferguson's your aerospace defense airlines analyst for Bloomberg Intelligence 400 00:23:08,720 --> 00:23:12,400 Speaker 1: who joins us. Now this seems like a pretty big deal. 401 00:23:12,440 --> 00:23:16,480 Speaker 1: Airbus getting the sixteen billion dollar order from Emirates, yet 402 00:23:16,600 --> 00:23:20,800 Speaker 1: shares up just under one point three percent. Why are 403 00:23:20,880 --> 00:23:24,480 Speaker 1: shareholders not rallying more around this? Hey, good morning, Lisa. 404 00:23:24,840 --> 00:23:28,080 Speaker 1: I think the challenge here is that the A three 405 00:23:28,080 --> 00:23:31,440 Speaker 1: eight doesn't make any money for Airbus, and this order 406 00:23:31,480 --> 00:23:34,360 Speaker 1: doesn't materially change the landscape for the A three eight. 407 00:23:34,960 --> 00:23:37,480 Speaker 1: And the reason I say that is that the order 408 00:23:37,480 --> 00:23:41,959 Speaker 1: book is still very very much um uh Emirates focus. 409 00:23:42,080 --> 00:23:45,040 Speaker 1: There's some order actually. I think this will go to 410 00:23:45,200 --> 00:23:48,680 Speaker 1: a hundred and fifteen firm motors, and sixty of those 411 00:23:48,680 --> 00:23:51,399 Speaker 1: will be the Emirates. I don't really see it changing 412 00:23:51,480 --> 00:23:55,040 Speaker 1: the production rate right now, Airbus building about twelve of 413 00:23:55,040 --> 00:23:57,320 Speaker 1: these a year, they'll they'll just dip down to about 414 00:23:57,359 --> 00:24:00,679 Speaker 1: eighty year that they can't make a profit there, or 415 00:24:00,800 --> 00:24:03,720 Speaker 1: much of a profit there. So the program is still 416 00:24:03,720 --> 00:24:07,439 Speaker 1: sort of limping along with one real customer, which is 417 00:24:07,440 --> 00:24:11,080 Speaker 1: Emirates not making any money. This doesn't change either of 418 00:24:11,160 --> 00:24:13,480 Speaker 1: those outlooks. And you know, Emirates is not going to 419 00:24:13,520 --> 00:24:16,040 Speaker 1: bring these orders forward quickly so that it's not going 420 00:24:16,080 --> 00:24:20,879 Speaker 1: to change production rate. So the program is still very challenged. 421 00:24:21,280 --> 00:24:23,720 Speaker 1: It's just we've got a little more order in the 422 00:24:23,560 --> 00:24:26,520 Speaker 1: in the back of the in the back of the backlog. Now, 423 00:24:26,840 --> 00:24:30,200 Speaker 1: George's Emirates just really buying a big repair shop, because 424 00:24:30,240 --> 00:24:32,199 Speaker 1: if the air bus was going to close down the 425 00:24:32,240 --> 00:24:34,800 Speaker 1: production line, good luck trying to get those things fixed 426 00:24:34,800 --> 00:24:38,440 Speaker 1: in the future. Yeah, I mean, I'm not so sure 427 00:24:38,480 --> 00:24:40,960 Speaker 1: they're buying a big repair shop. I mean, I understand 428 00:24:40,960 --> 00:24:44,800 Speaker 1: what you're saying. And anybody else fly that's a three 429 00:24:44,840 --> 00:24:47,760 Speaker 1: eight and want to fly it. I mean there are 430 00:24:47,800 --> 00:24:51,479 Speaker 1: other people that do fly it, right, it's Singapore, but 431 00:24:51,800 --> 00:24:54,920 Speaker 1: they've got a couple of park Air France flies it, love, 432 00:24:55,000 --> 00:24:59,000 Speaker 1: tons of flies that Korean Air flies it. Um in time, 433 00:24:59,040 --> 00:25:02,960 Speaker 1: there may well be problems with getting spares on on 434 00:25:03,000 --> 00:25:06,400 Speaker 1: the airplane. I don't think we're near that yet. Um 435 00:25:06,640 --> 00:25:09,600 Speaker 1: Rolls makes an engine for it. Plus there's a consortium 436 00:25:09,640 --> 00:25:14,040 Speaker 1: with g that makes an engine for it. Saffran. Yeah, 437 00:25:14,720 --> 00:25:18,240 Speaker 1: I believe, but isn't. Isn't then the A three eighty 438 00:25:18,359 --> 00:25:22,320 Speaker 1: the wrong aircraft for the time, I mean it is. 439 00:25:22,359 --> 00:25:25,160 Speaker 1: And you know where we're seeing a concentration of orders 440 00:25:25,359 --> 00:25:28,600 Speaker 1: is really in the narrow body fleet, which is a 441 00:25:28,800 --> 00:25:32,840 Speaker 1: dfty to two some airplanes, and the small wide body fleet, 442 00:25:32,840 --> 00:25:36,600 Speaker 1: which is seven eight seven's, A three fifties, A three thirties. 443 00:25:37,200 --> 00:25:39,040 Speaker 1: That's where the bulk of the orders are being placed. 444 00:25:39,040 --> 00:25:42,359 Speaker 1: Those those airplanes are sort of two fifty two maybe 445 00:25:42,400 --> 00:25:45,640 Speaker 1: up the three hundred ish seats. That's where we see 446 00:25:45,640 --> 00:25:49,119 Speaker 1: the bulk of demand right now. At the top of 447 00:25:49,160 --> 00:25:51,520 Speaker 1: the wide body world, the A three eighties and seven 448 00:25:51,560 --> 00:25:56,159 Speaker 1: four sevens and even the larger twin engines, the triple seven, 449 00:25:56,640 --> 00:25:59,880 Speaker 1: we're seeing less demand and it's just harder to put 450 00:25:59,880 --> 00:26:03,520 Speaker 1: the those airplanes into markets and not have to deluke 451 00:26:03,680 --> 00:26:06,560 Speaker 1: fares to do it. So airlines are not as excited 452 00:26:06,600 --> 00:26:09,480 Speaker 1: about those airplanes right now. And again, so this sort 453 00:26:09,480 --> 00:26:12,040 Speaker 1: of helps this airplane continue to roll down the road. 454 00:26:12,359 --> 00:26:15,159 Speaker 1: I think Airbus thinks somewhere down the road there's a 455 00:26:15,160 --> 00:26:17,000 Speaker 1: lot of demand for this airplane. They're just trying to 456 00:26:17,000 --> 00:26:21,280 Speaker 1: get it to survive until that it helps. Yeah, it helps, 457 00:26:21,320 --> 00:26:24,160 Speaker 1: but it thanks. It's it's hard. Thanks very much. George Ferguson, 458 00:26:24,240 --> 00:26:28,080 Speaker 1: Senior Aerospace Defense analyst for Bloomberg Intelligence. And Dave Wilson, 459 00:26:28,080 --> 00:26:33,080 Speaker 1: Bloomberg Stocks Calm this. Thanks for listening to the Bloomberg 460 00:26:33,119 --> 00:26:35,760 Speaker 1: P and L podcast. You can subscribe and listen to 461 00:26:35,800 --> 00:26:40,320 Speaker 1: interviews at Apple Podcasts, SoundCloud, or whatever podcast platform you prefer. 462 00:26:40,760 --> 00:26:44,320 Speaker 1: I'm Pim Fox. I'm on Twitter at pim Fox. I'm 463 00:26:44,320 --> 00:26:47,639 Speaker 1: on Twitter at Lisa Abramo. It's one before the podcast. 464 00:26:47,680 --> 00:26:50,280 Speaker 1: You can always catch us worldwide on Bloomberg Radio