1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,560 --> 00:00:15,560 Speaker 1: with essential market moving news. Find the Bloomberg Markets podcast 5 00:00:15,560 --> 00:00:18,479 Speaker 1: called Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,159 Speaker 1: at Bloomberg dot com slash podcast. Well, the I m 7 00:00:22,200 --> 00:00:26,680 Speaker 1: F today cut World growth forecast on weaker US and 8 00:00:27,080 --> 00:00:30,200 Speaker 1: China outlooks. Let's get the latest. We can do that 9 00:00:30,240 --> 00:00:33,400 Speaker 1: with Ellen Zetner, chief US economists from Morgan Stanley. She 10 00:00:33,479 --> 00:00:35,279 Speaker 1: grew up in Austin, Texas. Did you know that? Man? 11 00:00:36,200 --> 00:00:38,400 Speaker 1: I did know that. You did know that? Okay, so 12 00:00:39,600 --> 00:00:42,760 Speaker 1: business Ohio was awesome, But I am a little jealous. 13 00:00:42,840 --> 00:00:44,479 Speaker 1: I feel like growing up in Texas would be the 14 00:00:44,520 --> 00:00:46,599 Speaker 1: second best. That would be cool thing to Growing up 15 00:00:46,600 --> 00:00:50,240 Speaker 1: in Austin is like the it town right now. Back 16 00:00:50,280 --> 00:00:52,280 Speaker 1: then it was like up and coming right. Let's ask going, 17 00:00:52,400 --> 00:00:54,920 Speaker 1: I know, Ellen, Ellen, tell us about Austin. Should we 18 00:00:55,000 --> 00:00:57,800 Speaker 1: be relocating there like all the kids are doing. I've 19 00:00:57,840 --> 00:01:00,840 Speaker 1: been there since the nineteen seventies. The I own real 20 00:01:00,960 --> 00:01:03,200 Speaker 1: estate there, so I'm on the winning end of it 21 00:01:03,360 --> 00:01:05,800 Speaker 1: right now. But it's a shock if you grew up 22 00:01:05,840 --> 00:01:08,320 Speaker 1: there and you go back to visit, it's like, what, 23 00:01:08,480 --> 00:01:11,759 Speaker 1: I have to wait for a reservation? What do you mean, 24 00:01:11,800 --> 00:01:15,280 Speaker 1: I can't just walk in anywhere. Can tell you. As 25 00:01:15,319 --> 00:01:17,959 Speaker 1: shocking as it is, if you grew up there, it 26 00:01:18,120 --> 00:01:20,360 Speaker 1: is still a really cool town when you go back 27 00:01:20,400 --> 00:01:24,559 Speaker 1: to visit. I just love the old keep Austin weird, 28 00:01:24,840 --> 00:01:28,040 Speaker 1: you know that. I like the new awesome because they 29 00:01:28,040 --> 00:01:31,880 Speaker 1: put in CODA and I've seen UM Formula one there. 30 00:01:32,000 --> 00:01:35,399 Speaker 1: I've seen Moto g P there. It's absolute and absolute 31 00:01:35,400 --> 00:01:37,200 Speaker 1: blasts such a great trap. I think that was a 32 00:01:37,200 --> 00:01:39,080 Speaker 1: good move when they when they put it in there. Hey, 33 00:01:39,280 --> 00:01:42,080 Speaker 1: you know, I used to do economic development modeling for 34 00:01:42,200 --> 00:01:44,760 Speaker 1: the State of Texas when GW was still governor there, 35 00:01:44,760 --> 00:01:47,400 Speaker 1: and boy, we really did a good job at attracting 36 00:01:47,400 --> 00:01:50,080 Speaker 1: those big venues. You know. It's a great place to 37 00:01:50,120 --> 00:01:52,560 Speaker 1: do business, by the way, you know what it I 38 00:01:52,600 --> 00:01:56,120 Speaker 1: often think of the housing um bubble or the housing situation. 39 00:01:56,200 --> 00:01:58,280 Speaker 1: Maybe it's a bubble, maybe not um when I think 40 00:01:58,320 --> 00:02:00,919 Speaker 1: of Austin, how do you look at you know, the 41 00:02:01,000 --> 00:02:04,760 Speaker 1: incredible rise in prices that we've seen coupled with lack 42 00:02:04,800 --> 00:02:08,400 Speaker 1: of inventory. Well, the lack of inventory is always the 43 00:02:08,480 --> 00:02:11,360 Speaker 1: number one reason why that pushes up prices, and of 44 00:02:11,360 --> 00:02:14,120 Speaker 1: course homebuilders finally catch up and then that's usually when 45 00:02:14,120 --> 00:02:17,720 Speaker 1: the cycle turns. But I think this time, you know, 46 00:02:18,680 --> 00:02:23,000 Speaker 1: we did some work back in nineteen pre COVID that 47 00:02:23,080 --> 00:02:25,120 Speaker 1: where we looked at the demographic trends in the U 48 00:02:25,240 --> 00:02:29,760 Speaker 1: S where millennials plus gen Z our biggest demographic bubble ever. 49 00:02:30,080 --> 00:02:32,680 Speaker 1: I mean, they dwarf the baby boomers, and when we 50 00:02:32,760 --> 00:02:37,600 Speaker 1: looked at their preferences and how they approach housing, it's 51 00:02:37,600 --> 00:02:41,680 Speaker 1: set up for a really strong trend of fundamental demand 52 00:02:41,840 --> 00:02:45,320 Speaker 1: for housing and specifically single family rentals because they still 53 00:02:45,360 --> 00:02:48,079 Speaker 1: want mobility UM and want to be able to work wherever. 54 00:02:48,280 --> 00:02:51,640 Speaker 1: Then COVID hits and it's that additional catalyst. So I 55 00:02:51,680 --> 00:02:54,080 Speaker 1: think we're seeing a lot of magration patterns around the 56 00:02:54,200 --> 00:02:57,560 Speaker 1: US that we're already gravitating toward these areas with high 57 00:02:57,600 --> 00:03:01,040 Speaker 1: home prices already, that have just continued UH to pressure 58 00:03:01,040 --> 00:03:04,200 Speaker 1: those areas higher. Now, eventually home prices will be so 59 00:03:04,280 --> 00:03:07,040 Speaker 1: out of line with with fundamental income that it will 60 00:03:07,080 --> 00:03:11,000 Speaker 1: push people back towards UH multi family units or delay 61 00:03:11,000 --> 00:03:14,160 Speaker 1: their home buying decisions. But you've got to reach that point. 62 00:03:14,440 --> 00:03:17,760 Speaker 1: We also had obviously incredibly low interest rates plus a 63 00:03:17,760 --> 00:03:21,040 Speaker 1: ton of fiscal stimulus. Did that add to it? And 64 00:03:21,080 --> 00:03:25,280 Speaker 1: are we set up for a reckoning? Now? Yeah? Well 65 00:03:25,320 --> 00:03:27,200 Speaker 1: I think so certainly it added to it. I mean, 66 00:03:27,200 --> 00:03:30,040 Speaker 1: I think out of out of all that we've talked about, 67 00:03:30,040 --> 00:03:34,200 Speaker 1: including covid UM, the number one determined is always the 68 00:03:34,240 --> 00:03:37,000 Speaker 1: cost of housing, which the interest rates are a big 69 00:03:37,080 --> 00:03:40,080 Speaker 1: chunk of that. So you've got record low mortgage rates 70 00:03:40,640 --> 00:03:43,640 Speaker 1: UM that had moved lower from already very low levels 71 00:03:44,040 --> 00:03:46,320 Speaker 1: uh in the last cycle. So that was that was 72 00:03:46,480 --> 00:03:50,680 Speaker 1: a huge boost behind the REFI way, freeing up more income, 73 00:03:51,120 --> 00:03:54,320 Speaker 1: getting more people into homes being able to afford them. 74 00:03:54,400 --> 00:03:57,640 Speaker 1: So you know, naturally, right as the cycle gets uh, 75 00:03:57,680 --> 00:03:59,880 Speaker 1: you know, the economy gets tighter and tighter, the FED 76 00:04:00,000 --> 00:04:02,520 Speaker 1: does want to slow that down, and they slow that 77 00:04:02,560 --> 00:04:05,560 Speaker 1: down by restricting access to credit, and they're doing that 78 00:04:05,680 --> 00:04:09,360 Speaker 1: by raising rates. UM. Now how quickly they raise rates 79 00:04:09,360 --> 00:04:11,680 Speaker 1: will matter. I mean, they don't want to choke off 80 00:04:11,680 --> 00:04:15,520 Speaker 1: economic activity. Uh. And so you know, the fear out 81 00:04:15,560 --> 00:04:17,120 Speaker 1: there in the market is that the Fed's going to 82 00:04:17,240 --> 00:04:20,640 Speaker 1: hike in March and just keep on going almost you know, 83 00:04:20,720 --> 00:04:24,279 Speaker 1: being deaf to any kind of incoming data or financial conditions. 84 00:04:24,279 --> 00:04:26,800 Speaker 1: And that's just not the case, right The FED will 85 00:04:26,800 --> 00:04:31,039 Speaker 1: still be uh. FED path will be determined by incoming data. UM. 86 00:04:31,040 --> 00:04:33,479 Speaker 1: But I tell you what I'm most interested that was 87 00:04:33,560 --> 00:04:36,640 Speaker 1: also the case last cycle, and that is that, unlike 88 00:04:37,560 --> 00:04:42,080 Speaker 1: pre GFC cycles, the household balance sheet is locked in 89 00:04:42,279 --> 00:04:45,400 Speaker 1: at an extraordinarily low fixed rate. So one thing that 90 00:04:45,440 --> 00:04:47,400 Speaker 1: we saw in the last cycles, what's what we when 91 00:04:47,440 --> 00:04:51,160 Speaker 1: we finished the leveraging, we never levered back up. And 92 00:04:51,440 --> 00:04:55,919 Speaker 1: the longer that the rates remain low, the more chance 93 00:04:56,000 --> 00:04:58,039 Speaker 1: you give for the balance sheet to transition into those 94 00:04:58,160 --> 00:05:01,320 Speaker 1: very low fixed rates. The majority of debt we hold 95 00:05:01,360 --> 00:05:04,799 Speaker 1: is in mortgages, and the outstanding yield on effective yield 96 00:05:04,800 --> 00:05:08,400 Speaker 1: on all of those mortgages is in the threes uh. 97 00:05:08,560 --> 00:05:12,960 Speaker 1: And so it's just we're just very insensitive to a 98 00:05:13,080 --> 00:05:15,800 Speaker 1: rising interest rate environment right now in terms of the 99 00:05:15,839 --> 00:05:20,279 Speaker 1: household side. It's encouraging talk to just real quickly. What 100 00:05:20,360 --> 00:05:21,800 Speaker 1: was your take on the I m F move today 101 00:05:21,839 --> 00:05:24,919 Speaker 1: to cut the GDP forecasts? Is that surprise you at all? No? 102 00:05:25,120 --> 00:05:26,800 Speaker 1: I mean, I think you know what we've seen is 103 00:05:26,839 --> 00:05:28,240 Speaker 1: that the I m F tends to get into this 104 00:05:28,279 --> 00:05:33,280 Speaker 1: pattern of lagging behind changes in in street forecasts. I mean, 105 00:05:33,760 --> 00:05:36,240 Speaker 1: you know when the Build Back Better Plan, so so 106 00:05:36,400 --> 00:05:39,920 Speaker 1: as you mentioned it's driven by China and US downgrades. Well, 107 00:05:39,960 --> 00:05:44,039 Speaker 1: I downgraded first quarter GDP growth um sharply on the 108 00:05:44,080 --> 00:05:46,960 Speaker 1: back of the Build Back Better Plan that failed to pass, 109 00:05:47,000 --> 00:05:49,880 Speaker 1: simply because we had assumed that that child tax credit 110 00:05:50,279 --> 00:05:53,279 Speaker 1: that low income households were getting would be extended, and 111 00:05:53,360 --> 00:05:56,839 Speaker 1: so that takes a chunk out of uh personal consumption 112 00:05:57,160 --> 00:06:00,520 Speaker 1: in the first quarter. Besides the omicron effects, you've got 113 00:06:00,520 --> 00:06:03,840 Speaker 1: to account for the omicron effects as well. Uh. You know, 114 00:06:03,880 --> 00:06:06,000 Speaker 1: we haven't even started to get the really bad data 115 00:06:06,080 --> 00:06:08,840 Speaker 1: yet because we haven't gotten January data yet. So as 116 00:06:08,839 --> 00:06:11,080 Speaker 1: we're moving into February and we're already on the other 117 00:06:11,120 --> 00:06:13,800 Speaker 1: side of o Macron, we're gonna be getting January data 118 00:06:13,880 --> 00:06:16,359 Speaker 1: confirming just how big of us slow down there was, 119 00:06:16,400 --> 00:06:18,200 Speaker 1: so you could get as low as a one handle 120 00:06:18,240 --> 00:06:21,359 Speaker 1: on GDP this quarter. But the FEDS looking through that 121 00:06:21,600 --> 00:06:23,520 Speaker 1: going to give that a pass. And here's why, because 122 00:06:23,520 --> 00:06:25,760 Speaker 1: there are so many factors you can point to that 123 00:06:25,800 --> 00:06:28,040 Speaker 1: are one off. So I think they're going to deliver 124 00:06:28,120 --> 00:06:29,839 Speaker 1: that March hike. I know you're gonna be talking to 125 00:06:29,920 --> 00:06:32,359 Speaker 1: Danielle about that. She's a she's a she's a great 126 00:06:32,360 --> 00:06:35,880 Speaker 1: gal um. But but yeah, but I think the growth 127 00:06:35,960 --> 00:06:38,640 Speaker 1: scare is real and I think people have been building 128 00:06:38,680 --> 00:06:40,560 Speaker 1: that into their forecast. All right, Ellen, thank you so 129 00:06:40,640 --> 00:06:42,400 Speaker 1: much for joining us to really appreciate getting your thoughts. 130 00:06:42,440 --> 00:06:44,839 Speaker 1: Ellen's that in their chief US economist from Morgan Stanley 131 00:06:45,080 --> 00:06:53,280 Speaker 1: and an avid fly Fisher person. All right, let's talk 132 00:06:53,279 --> 00:06:55,800 Speaker 1: about the consumer. It's some better and expected numbers out today. 133 00:06:55,880 --> 00:06:58,560 Speaker 1: Joining us to break it down. Lyn Franco, director of 134 00:06:58,560 --> 00:07:01,440 Speaker 1: the Economic Indicators and Serve is at the conference board. 135 00:07:01,800 --> 00:07:04,840 Speaker 1: Lynn talked to us about the consumer. How is he 136 00:07:05,200 --> 00:07:09,600 Speaker 1: and or she looking? The consumer is holding up, I 137 00:07:09,600 --> 00:07:12,600 Speaker 1: think remarkably well. Even though we did have a bit 138 00:07:12,600 --> 00:07:16,040 Speaker 1: of a dip in January where we saw the index decline, 139 00:07:16,680 --> 00:07:19,680 Speaker 1: but mixed news there. We saw the consumers gave the 140 00:07:19,720 --> 00:07:22,880 Speaker 1: present situation a stronger rating than they had in December, 141 00:07:23,520 --> 00:07:27,280 Speaker 1: a little bit of softening in terms of their expectations. Um, 142 00:07:27,320 --> 00:07:32,400 Speaker 1: but holding up remarkably well. So talk to us about 143 00:07:32,560 --> 00:07:33,800 Speaker 1: you know, one of the things I think when I 144 00:07:33,800 --> 00:07:36,800 Speaker 1: think about the consumer is the labor market. You know, 145 00:07:36,920 --> 00:07:38,800 Speaker 1: I keep hearing about there are three or four or 146 00:07:38,800 --> 00:07:42,360 Speaker 1: five million people that are not back in the labor market. 147 00:07:42,880 --> 00:07:44,680 Speaker 1: Yet I see for sales, I mean, I see, you know, 148 00:07:44,720 --> 00:07:47,760 Speaker 1: help wanted signs everywhere. How does the labor market play 149 00:07:47,760 --> 00:07:51,560 Speaker 1: into consumer confidence data that you see, It plays a 150 00:07:51,680 --> 00:07:55,520 Speaker 1: very big role. And actually we're getting some very positive readings. 151 00:07:55,560 --> 00:07:57,840 Speaker 1: So in terms of the percent of consumers who tell 152 00:07:57,920 --> 00:08:00,440 Speaker 1: us that jobs are plentiful, we did a little bit 153 00:08:00,480 --> 00:08:05,040 Speaker 1: of a dip from nine to one, but by historical standards, 154 00:08:05,080 --> 00:08:08,120 Speaker 1: a very strong reading and the present to tell us, 155 00:08:08,360 --> 00:08:10,480 Speaker 1: you know, jobs are hard to get dipped a little bit. 156 00:08:10,600 --> 00:08:13,160 Speaker 1: So I think they're very positive on the labor market, 157 00:08:13,520 --> 00:08:16,280 Speaker 1: a little bit of softening in their expectations um, but 158 00:08:16,480 --> 00:08:19,880 Speaker 1: still strong. So we expect that this, coupled with, you know, 159 00:08:19,920 --> 00:08:22,160 Speaker 1: some of the wage increase that we're seeing, to help 160 00:08:22,600 --> 00:08:26,080 Speaker 1: continue to support consumer confidence in the months ahead. Is 161 00:08:26,120 --> 00:08:29,360 Speaker 1: there any concern about FED rate rises? I mean, we've 162 00:08:29,400 --> 00:08:32,520 Speaker 1: gone from expecting too to seeing three in the dots 163 00:08:32,640 --> 00:08:35,719 Speaker 1: to now Goldman Sachs forecast four saying the risk is 164 00:08:35,760 --> 00:08:40,640 Speaker 1: to the upside. Um. Does this hit consumer confidence at all? 165 00:08:42,120 --> 00:08:44,920 Speaker 1: It's not really hitting consumer confidence. I mean, we do 166 00:08:45,000 --> 00:08:48,840 Speaker 1: ask a question about interest rates. Um, and it's not 167 00:08:48,920 --> 00:08:52,240 Speaker 1: really having any significant impact. You know, we'll see if 168 00:08:52,280 --> 00:08:56,080 Speaker 1: it does, and when it occurs, soften growth a little 169 00:08:56,120 --> 00:08:59,040 Speaker 1: bit and that could hurt confidence, but it's not having 170 00:08:59,040 --> 00:09:03,520 Speaker 1: an impact. Neither is inflation. Surprisingly, we've actually seen back 171 00:09:03,559 --> 00:09:08,760 Speaker 1: to back months declined in consumers inflation expectations, so which 172 00:09:08,800 --> 00:09:12,320 Speaker 1: seems that at least the heightened uncertainty and concern that 173 00:09:12,360 --> 00:09:15,480 Speaker 1: they were expressing in November seems to be cooling a bit. 174 00:09:16,120 --> 00:09:18,160 Speaker 1: All right, Lynn, thank you so much. We appreciate that 175 00:09:18,320 --> 00:09:22,040 Speaker 1: as always getting that monthly data check from you. Linn Franco, 176 00:09:22,080 --> 00:09:25,439 Speaker 1: Director of Economic Indicators and Surveys at the conference board. 177 00:09:30,160 --> 00:09:33,640 Speaker 1: On the train today, Matt, there was like again nobody 178 00:09:33,679 --> 00:09:35,720 Speaker 1: on the train of my commute in here. That's awesome. 179 00:09:35,760 --> 00:09:39,720 Speaker 1: People are not coming into the office. I don't know 180 00:09:39,800 --> 00:09:41,920 Speaker 1: when or if they ever will. I don't know what 181 00:09:41,960 --> 00:09:45,840 Speaker 1: that means for the people who own these beautiful, huge, 182 00:09:45,920 --> 00:09:49,320 Speaker 1: sky high office towers here in New York City. UM, 183 00:09:49,360 --> 00:09:51,320 Speaker 1: but let's check in and get some with a professional 184 00:09:51,320 --> 00:09:55,400 Speaker 1: who might have some color on that. Hassam Naji, President 185 00:09:55,440 --> 00:09:57,840 Speaker 1: and CEO of Marcus and Mill Chup. That's a publican 186 00:09:57,880 --> 00:09:59,839 Speaker 1: traded company on the n Y S C M M. 187 00:10:00,080 --> 00:10:02,760 Speaker 1: I for those folks that are interested in the real 188 00:10:02,840 --> 00:10:05,800 Speaker 1: estate bis So Hassam, thanks so much for joining us here. 189 00:10:06,400 --> 00:10:08,080 Speaker 1: I don't get it. I don't think people are coming 190 00:10:08,080 --> 00:10:11,040 Speaker 1: back to work. I don't know who is going to 191 00:10:11,160 --> 00:10:13,720 Speaker 1: ever take up a lot of this commercial office space. 192 00:10:14,000 --> 00:10:17,040 Speaker 1: What do you think, Well, there's definitely a transition going 193 00:10:17,080 --> 00:10:20,280 Speaker 1: on within the office sector. If you zoom out, commercial 194 00:10:20,320 --> 00:10:24,080 Speaker 1: real estate has such a menu of options from drug 195 00:10:24,200 --> 00:10:27,520 Speaker 1: stores and fast food restaurants being very, very stable and 196 00:10:27,640 --> 00:10:31,800 Speaker 1: have done very well throughout the pandemic. We call necessity retail, 197 00:10:31,920 --> 00:10:37,160 Speaker 1: grocery anchored stores ironically in retail doing very well. Apartments 198 00:10:37,200 --> 00:10:40,400 Speaker 1: on fire because demand is at record levels, and you 199 00:10:40,440 --> 00:10:44,000 Speaker 1: switch over to the office buildings and seniors housing facilities, 200 00:10:44,000 --> 00:10:46,679 Speaker 1: those are the two where there's a lot of uncertainty 201 00:10:46,679 --> 00:10:50,360 Speaker 1: and clouds over future demand because of what's happened through 202 00:10:50,360 --> 00:10:54,880 Speaker 1: the pandemic. People are changing lifestyles, they are working virtually 203 00:10:54,880 --> 00:10:58,720 Speaker 1: and they're going to be we believe, for forever. But 204 00:10:58,920 --> 00:11:02,480 Speaker 1: that doesn't mean that the office market is in for 205 00:11:02,760 --> 00:11:05,920 Speaker 1: a permanent doom and gloom. In that you see the 206 00:11:06,160 --> 00:11:09,600 Speaker 1: new demand forming new company formations are at a record 207 00:11:09,679 --> 00:11:14,000 Speaker 1: level just in the last nine months of New York 208 00:11:14,000 --> 00:11:16,920 Speaker 1: at it almost two hundred thousand jobs. A lot of 209 00:11:16,960 --> 00:11:20,559 Speaker 1: those jobs are being executed virtually right now. But as 210 00:11:20,600 --> 00:11:24,600 Speaker 1: the virus becomes more of a kind of a part 211 00:11:24,600 --> 00:11:27,760 Speaker 1: of normal life and not a constant speed bump and 212 00:11:27,880 --> 00:11:31,520 Speaker 1: you know resurgence and panic kind of on and off 213 00:11:32,120 --> 00:11:35,600 Speaker 1: interruption to business. In the next two to three years, 214 00:11:35,960 --> 00:11:38,080 Speaker 1: we really do believe people will come back into the 215 00:11:38,120 --> 00:11:41,400 Speaker 1: office because of the collaboration and teamwork. Demand will be 216 00:11:41,480 --> 00:11:45,080 Speaker 1: less because people will be in a hybrid work model, 217 00:11:45,520 --> 00:11:48,520 Speaker 1: partly virtual, partly in the office. But new demand is 218 00:11:48,559 --> 00:11:51,920 Speaker 1: going to also offset some of that short term. Remember 219 00:11:52,000 --> 00:11:54,760 Speaker 1: most leases that are in place now, sty'll have three 220 00:11:54,760 --> 00:11:57,640 Speaker 1: and a half to four years before they expire, so 221 00:11:57,720 --> 00:12:01,320 Speaker 1: the tenants are obligated to pay rent, so it's it's 222 00:12:01,400 --> 00:12:04,240 Speaker 1: kind of a buffer. But as these leases roll over, 223 00:12:04,920 --> 00:12:07,560 Speaker 1: that's where the uncertainty kicks in with a new demand 224 00:12:07,600 --> 00:12:10,840 Speaker 1: offset the hybrid work model or is the office market 225 00:12:10,920 --> 00:12:14,480 Speaker 1: in for some you know revaluations and price corrections. Well, 226 00:12:14,480 --> 00:12:18,280 Speaker 1: and we've seen kind of a bifurcation, you know, on 227 00:12:18,360 --> 00:12:22,000 Speaker 1: Wall Street there are some firms that are saying, hey, 228 00:12:22,000 --> 00:12:26,080 Speaker 1: you know what, I'm gonna reduce my UM commercial real 229 00:12:26,200 --> 00:12:30,760 Speaker 1: estate bills and UM save some costs that way because 230 00:12:30,800 --> 00:12:33,040 Speaker 1: I don't need as many people in the office. Others 231 00:12:33,120 --> 00:12:35,640 Speaker 1: are saying, you know what, we need a lease extra 232 00:12:35,720 --> 00:12:39,600 Speaker 1: space because we can't be sitting these people, um like 233 00:12:39,720 --> 00:12:42,320 Speaker 1: little hamsters right next to each other and they're tiny 234 00:12:42,320 --> 00:12:45,800 Speaker 1: little bullpen the way I do it here, desks, I'm 235 00:12:45,840 --> 00:12:47,720 Speaker 1: not I'm not criticizing the way we do it here. 236 00:12:48,040 --> 00:12:50,400 Speaker 1: I love the way we do it, but um, not 237 00:12:50,520 --> 00:12:52,800 Speaker 1: everybody likes to be sitting in these little desks and 238 00:12:52,840 --> 00:12:54,960 Speaker 1: not have your own office and not have any space 239 00:12:55,040 --> 00:12:57,560 Speaker 1: and not have any privacy. So you know, you're seeing 240 00:12:57,840 --> 00:13:01,520 Speaker 1: um people go at this and differ of ways. That's 241 00:13:01,520 --> 00:13:06,439 Speaker 1: exactly right. And we're seeing more team oriented space reconfiguration. 242 00:13:07,160 --> 00:13:10,040 Speaker 1: You're seeing some of the tech giants acquire new office 243 00:13:10,040 --> 00:13:13,960 Speaker 1: buildings and and the fact that many many industries rely 244 00:13:14,120 --> 00:13:17,760 Speaker 1: heavily on that in person training, in person interaction, and 245 00:13:17,800 --> 00:13:19,800 Speaker 1: I do think I mean look at the IBM, for example, 246 00:13:20,200 --> 00:13:23,559 Speaker 1: that led the charge in telecommuting over the last fifteen years, 247 00:13:23,559 --> 00:13:25,560 Speaker 1: and a few years ago they put an end to 248 00:13:25,600 --> 00:13:28,800 Speaker 1: that because of the inefficiencies it was creating for the 249 00:13:29,000 --> 00:13:33,000 Speaker 1: cultural part of their team, collaboration and so on. People 250 00:13:33,080 --> 00:13:35,200 Speaker 1: want to be together, they want to work together. I 251 00:13:35,240 --> 00:13:37,720 Speaker 1: just don't think we need to come back into the office, 252 00:13:37,800 --> 00:13:41,560 Speaker 1: you know, from eight to five every single day. Thanks 253 00:13:41,559 --> 00:13:44,560 Speaker 1: to technology, the hybrid work model is actually you know, 254 00:13:44,640 --> 00:13:48,040 Speaker 1: much more efficient. But from an office perspective, you have 255 00:13:48,120 --> 00:13:50,040 Speaker 1: to wait to see what's going to make up the 256 00:13:50,640 --> 00:13:52,679 Speaker 1: you know, that reduced demand. The good news is that 257 00:13:52,880 --> 00:13:56,480 Speaker 1: there's very little construction at a at a national level. 258 00:13:56,520 --> 00:13:59,640 Speaker 1: There are pockets where we had some buildings underway, and 259 00:13:59,679 --> 00:14:03,160 Speaker 1: so apply is going to be a short term problem 260 00:14:03,200 --> 00:14:05,840 Speaker 1: in light of the lower demand. But all in all, 261 00:14:06,080 --> 00:14:09,520 Speaker 1: the office market is out of the historical cycle of 262 00:14:09,720 --> 00:14:13,040 Speaker 1: overbuilding and then crashing that hasn't happened for the last 263 00:14:13,080 --> 00:14:17,760 Speaker 1: two cycles. Miami, what a story there? Maybe just because 264 00:14:17,760 --> 00:14:19,760 Speaker 1: I'm in New York and but I just hear so 265 00:14:19,800 --> 00:14:25,680 Speaker 1: many stories of people relocating businesses, relocating personally residences to Miami. 266 00:14:26,120 --> 00:14:28,040 Speaker 1: Is there any end in sight for the growth of 267 00:14:28,040 --> 00:14:33,480 Speaker 1: South Florida, well, South Florida, Texas, Arizona, Nevada, all these 268 00:14:33,640 --> 00:14:38,200 Speaker 1: U states that are benefiting from the outmigration from California 269 00:14:38,240 --> 00:14:40,480 Speaker 1: and New York and some of the other states are 270 00:14:40,520 --> 00:14:43,640 Speaker 1: actually seeing a surgeon office demand. To your point, We've 271 00:14:43,680 --> 00:14:48,760 Speaker 1: done some case studies for our office investor clients showing 272 00:14:48,880 --> 00:14:50,960 Speaker 1: that in some of these pockets there is a dearth 273 00:14:51,000 --> 00:14:53,840 Speaker 1: of office space and there's gonna be a development wave 274 00:14:53,960 --> 00:14:57,680 Speaker 1: because demand is the exceeding supply that migration was happening 275 00:14:57,720 --> 00:15:04,200 Speaker 1: pre COVID, but based we got significantly elevated after the 276 00:15:04,200 --> 00:15:07,800 Speaker 1: pandemic hit. We don't see it slowing down so much 277 00:15:07,920 --> 00:15:12,440 Speaker 1: this year by going into it'll level off, and urban 278 00:15:12,440 --> 00:15:16,600 Speaker 1: America in New York in particular, San Francisco, Chicago will 279 00:15:16,600 --> 00:15:19,120 Speaker 1: take time to recover. But three or five years from now, 280 00:15:19,120 --> 00:15:21,880 Speaker 1: I think we'll be talking about what a great investment 281 00:15:21,880 --> 00:15:26,400 Speaker 1: opportunity urban real estate was during this time. Alright, Hassam, 282 00:15:26,720 --> 00:15:29,440 Speaker 1: we really appreciate getting your thoughts. As Sam Nagy, president 283 00:15:29,440 --> 00:15:32,600 Speaker 1: and CEO of Marcus and Mill chap that is a 284 00:15:32,640 --> 00:15:36,240 Speaker 1: real estate development company. But you know, it's interesting you 285 00:15:36,360 --> 00:15:39,760 Speaker 1: cannot get an apartment in New York City. Um, but 286 00:15:39,800 --> 00:15:41,520 Speaker 1: I just don't know where all the people are. I 287 00:15:41,560 --> 00:15:43,080 Speaker 1: don't know where they're going, what are they doing. They're 288 00:15:43,080 --> 00:15:45,080 Speaker 1: not coming into the offices, So I'm not sure what 289 00:15:45,120 --> 00:15:52,440 Speaker 1: they're doing. I want to bring in Laura Moody. She 290 00:15:52,760 --> 00:15:56,760 Speaker 1: is CEO and co founder of Bobby, which is a 291 00:15:56,800 --> 00:16:00,000 Speaker 1: baby formula delivery startup. But she's also a board member 292 00:16:00,840 --> 00:16:04,160 Speaker 1: of some startups that have become big businesses that you know, 293 00:16:04,280 --> 00:16:08,520 Speaker 1: task Rabbit for example, um eat Reel a former product 294 00:16:08,560 --> 00:16:13,080 Speaker 1: operations exact at Google Finance, and we're glad to have 295 00:16:13,120 --> 00:16:16,440 Speaker 1: her on the program. Laura, thanks so much for your time. UM. 296 00:16:16,840 --> 00:16:19,680 Speaker 1: Talk to us first of all about what it's like 297 00:16:19,800 --> 00:16:25,480 Speaker 1: doing business in startups or younger UM firms during the pandemic. 298 00:16:25,520 --> 00:16:26,920 Speaker 1: I mean, do you have to just be able to 299 00:16:26,920 --> 00:16:28,720 Speaker 1: pivot a lot faster? Do you have to be a 300 00:16:28,720 --> 00:16:33,120 Speaker 1: lot more agile lovely to be here with you? I 301 00:16:33,120 --> 00:16:36,960 Speaker 1: mean absolutely, UM, I mean now more than ever, the 302 00:16:37,120 --> 00:16:40,119 Speaker 1: need to be agile to watch the change in consumer 303 00:16:40,200 --> 00:16:43,280 Speaker 1: trends is more important than ever. But I will say 304 00:16:43,320 --> 00:16:46,840 Speaker 1: I think as a startup, and especially one that predominantly 305 00:16:46,840 --> 00:16:51,360 Speaker 1: operates online, were given an opportunity to leave those consumer 306 00:16:51,440 --> 00:16:56,240 Speaker 1: trains a lot easier and better than most companies can. So, Laura, 307 00:16:56,280 --> 00:17:00,400 Speaker 1: talk to us about again. Your company, FOSS focuses primarily 308 00:17:00,400 --> 00:17:04,200 Speaker 1: in a baby formula delivery market. How is your business 309 00:17:04,320 --> 00:17:10,960 Speaker 1: changed during the pandemic? Well, um, so many people. You've 310 00:17:11,000 --> 00:17:14,840 Speaker 1: probably seen the news and the scarcity of instant formulate 311 00:17:14,920 --> 00:17:18,119 Speaker 1: today on retail shelves. So being a direct consumer instant 312 00:17:18,200 --> 00:17:21,720 Speaker 1: formula company, we've seen a huge trend of people coming 313 00:17:21,760 --> 00:17:24,760 Speaker 1: online over the last year. The instant formula category has 314 00:17:24,800 --> 00:17:29,000 Speaker 1: seen the increase alone in people coming to purchase online 315 00:17:29,720 --> 00:17:32,760 Speaker 1: in two four of last year. Bobby really saw that 316 00:17:32,880 --> 00:17:35,919 Speaker 1: impact with a hundred and eighty seven percent growth in 317 00:17:35,920 --> 00:17:40,320 Speaker 1: our sales. So we need to remove the anxiety of 318 00:17:40,440 --> 00:17:43,760 Speaker 1: someone showing up to retailer not being able to buy 319 00:17:43,760 --> 00:17:47,520 Speaker 1: the instant formula of choice and have peace of mind 320 00:17:47,640 --> 00:17:49,960 Speaker 1: that when they need their formula, they can get it 321 00:17:50,040 --> 00:17:54,120 Speaker 1: on time wherever they are. By the way, as someone 322 00:17:54,160 --> 00:17:55,879 Speaker 1: who recently had a baby, I've got a lot of 323 00:17:55,880 --> 00:17:58,600 Speaker 1: experience with this, and I got a couple of questions. 324 00:17:59,080 --> 00:18:02,360 Speaker 1: Number One, it does seem to me, although maybe this 325 00:18:02,440 --> 00:18:06,560 Speaker 1: is pure snobbery, that the European formula market is better 326 00:18:06,600 --> 00:18:09,080 Speaker 1: than the US formula market in terms of the end product. 327 00:18:09,119 --> 00:18:12,600 Speaker 1: Is that right? I love that you're calling this out, 328 00:18:13,119 --> 00:18:16,040 Speaker 1: you know, I know I always hate pointing fingers at 329 00:18:16,080 --> 00:18:19,960 Speaker 1: any one formula or a collective of formulas to say 330 00:18:19,960 --> 00:18:22,439 Speaker 1: one is better than another. But you're right, there is 331 00:18:22,480 --> 00:18:26,080 Speaker 1: a clamoring for EU formula across this country, and it 332 00:18:26,160 --> 00:18:28,960 Speaker 1: really comes down to the way the recipe is designed 333 00:18:29,160 --> 00:18:33,320 Speaker 1: and the standards. If you look at the EU market, 334 00:18:33,520 --> 00:18:37,000 Speaker 1: the last time that they have updated their standards it 335 00:18:37,359 --> 00:18:40,639 Speaker 1: was in two thousand nineteen. In comparison to here in 336 00:18:40,680 --> 00:18:43,560 Speaker 1: the US, the last time was in the nineteen eighties. 337 00:18:44,080 --> 00:18:47,639 Speaker 1: So to put simply, maybe there is some truth to 338 00:18:47,720 --> 00:18:51,560 Speaker 1: people turning to EU formula. I also have noticed that, 339 00:18:52,560 --> 00:18:54,119 Speaker 1: and this may be worse than the EU than in 340 00:18:54,160 --> 00:18:59,879 Speaker 1: the US, there was a huge push from UM for 341 00:19:00,280 --> 00:19:03,919 Speaker 1: hospitals and doctors towards breastfeeding, which is great. We all 342 00:19:03,920 --> 00:19:06,359 Speaker 1: know it's very healthy way to raise kids, but I 343 00:19:06,400 --> 00:19:08,919 Speaker 1: don't know that everyone understands how difficult it can be 344 00:19:09,000 --> 00:19:12,680 Speaker 1: for a lot of people, and there is a m 345 00:19:13,119 --> 00:19:17,400 Speaker 1: a stigma on, at least in the EU mothers who 346 00:19:18,000 --> 00:19:21,080 Speaker 1: can't do it and go straight to formula. Is that 347 00:19:21,359 --> 00:19:23,280 Speaker 1: you think going to change as we come up with 348 00:19:23,359 --> 00:19:27,800 Speaker 1: healthier UM formulas and more nutritious ways to feed babies. 349 00:19:28,920 --> 00:19:32,080 Speaker 1: I mean, I mean, first off, it's amazing to hear 350 00:19:32,119 --> 00:19:34,720 Speaker 1: you as a new dad. Even just highlighting this, we 351 00:19:34,800 --> 00:19:36,720 Speaker 1: need to have the conversation and we need to be 352 00:19:36,760 --> 00:19:39,960 Speaker 1: more open about it. The reality is the world that 353 00:19:40,040 --> 00:19:43,359 Speaker 1: we're living in today does not match the world that 354 00:19:43,440 --> 00:19:45,639 Speaker 1: we used to live in, and there's a lot of 355 00:19:45,680 --> 00:19:48,760 Speaker 1: reasons that we need to be open to accepting formula 356 00:19:48,800 --> 00:19:51,159 Speaker 1: as an alternative. You look at what it means to 357 00:19:51,200 --> 00:19:54,200 Speaker 1: become a parent or even to preparent in today's world. 358 00:19:54,600 --> 00:19:59,439 Speaker 1: There's more adoption, surrogacy, same sex couples, moms who have 359 00:19:59,440 --> 00:20:02,880 Speaker 1: a doubleness sectively underlying health conditions. I mean, you finish 360 00:20:03,840 --> 00:20:07,199 Speaker 1: so many as Titus. I mean that is that was 361 00:20:07,240 --> 00:20:09,320 Speaker 1: my issue. I don't think a lot of men understand 362 00:20:09,359 --> 00:20:12,960 Speaker 1: how serious it is and how uh and how widespread 363 00:20:12,960 --> 00:20:14,760 Speaker 1: it is. In any case, it's been great talking to you, 364 00:20:14,840 --> 00:20:16,920 Speaker 1: and I hope we can talk to you again. Laura. UM. 365 00:20:17,640 --> 00:20:20,240 Speaker 1: I'm obviously interested in the subject, and we are all 366 00:20:20,280 --> 00:20:23,399 Speaker 1: all interested in um starting these businesses and helping our 367 00:20:23,440 --> 00:20:25,800 Speaker 1: society grow in a faster and healthier way. Laura Modi 368 00:20:25,880 --> 00:20:30,359 Speaker 1: is the CEO and co founder of Bobby. Thanks for 369 00:20:30,400 --> 00:20:33,920 Speaker 1: listening to the Bloomberg Markets podcast. You can subscribe and 370 00:20:33,960 --> 00:20:38,000 Speaker 1: listen to interviews of Apple Podcasts or whatever podcast platform 371 00:20:38,080 --> 00:20:41,359 Speaker 1: you prefer. I'm Matt Miller. I'm on Twitter at Matt 372 00:20:41,440 --> 00:20:45,760 Speaker 1: Miller three. On False Sweeney, I'm on Twitter at pt Sweeney. 373 00:20:45,800 --> 00:20:48,479 Speaker 1: Before the podcast, you can always catch us worldwide at 374 00:20:48,480 --> 00:20:49,240 Speaker 1: Bloomberg Radio