1 00:00:02,400 --> 00:00:10,520 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. This is Bloomberg Business 2 00:00:10,560 --> 00:00:13,720 Speaker 1: Wait inside from the reporters and editors who bring you 3 00:00:13,840 --> 00:00:18,159 Speaker 1: America's most trusted business magazine, plus global business, finance and 4 00:00:18,239 --> 00:00:22,640 Speaker 1: tech news. The Bloomberg Business Week Podcast with Carol Messer 5 00:00:22,840 --> 00:00:25,520 Speaker 1: and Tim Stenebeck from Bloomberg Radio. 6 00:00:25,600 --> 00:00:27,880 Speaker 2: If you make any attention today, you know exactly the 7 00:00:27,920 --> 00:00:30,920 Speaker 2: economic data that pip this morning. US retail sales broadly 8 00:00:30,960 --> 00:00:34,760 Speaker 2: declining in January, indicating that consumers took a little breather 9 00:00:35,040 --> 00:00:38,519 Speaker 2: after a strong holiday shopping season. So here's some numbers here. 10 00:00:38,520 --> 00:00:41,960 Speaker 2: The value of retail purchases, unadjusted for inflation, decreased eight 11 00:00:42,000 --> 00:00:44,880 Speaker 2: tenths of one percent from December, this after a downward 12 00:00:44,960 --> 00:00:48,199 Speaker 2: revision to the prior month. This according to Commerce Department 13 00:00:48,280 --> 00:00:51,960 Speaker 2: data earlier today, that drop the biggest in nearly a year. 14 00:00:52,040 --> 00:00:54,760 Speaker 2: Separate data showed US factory production fell for the first 15 00:00:54,800 --> 00:00:57,960 Speaker 2: time in three months in January. Following all of this, 16 00:00:58,040 --> 00:01:01,600 Speaker 2: of course, is Michael Mckehe's international economics and policy correspondent 17 00:01:01,600 --> 00:01:04,240 Speaker 2: for Blueberg News. He joins us right now from Washington, DC, 18 00:01:04,319 --> 00:01:07,319 Speaker 2: where he's at the National Association for Business Economics conference. 19 00:01:07,319 --> 00:01:09,640 Speaker 2: We're going to have more on that in just a minute, 20 00:01:09,640 --> 00:01:11,520 Speaker 2: But first, Mike, I want to get to this data. 21 00:01:11,560 --> 00:01:14,040 Speaker 2: The two reports that we got today, they pointed to 22 00:01:14,240 --> 00:01:16,800 Speaker 2: a loss of momentum, But are they a sign that 23 00:01:16,840 --> 00:01:18,440 Speaker 2: the economy is deteriorating. 24 00:01:20,160 --> 00:01:22,960 Speaker 3: I wouldn't use the word deteriorating. The economy is slowing, 25 00:01:23,240 --> 00:01:26,000 Speaker 3: and we know, of course that in January Shanalli went 26 00:01:26,040 --> 00:01:30,360 Speaker 3: on vacation, so a lot of shopping didn't get done. 27 00:01:31,160 --> 00:01:33,280 Speaker 3: A lot of it is probably weather related. When you 28 00:01:33,319 --> 00:01:36,880 Speaker 3: look at what happened across the country in January, a 29 00:01:36,920 --> 00:01:39,680 Speaker 3: lot of snow, a lot of people stayed home, and 30 00:01:39,800 --> 00:01:43,360 Speaker 3: car sales really suffered. That was about half of what 31 00:01:43,400 --> 00:01:47,360 Speaker 3: we saw in the decline. Another major part was building 32 00:01:47,400 --> 00:01:50,840 Speaker 3: materials and outdoor stores, things that would be affected by 33 00:01:50,840 --> 00:01:53,440 Speaker 3: the weather. Now there is some loss of momentum, there's 34 00:01:53,440 --> 00:01:56,000 Speaker 3: no question about that. What we have to see is 35 00:01:56,040 --> 00:01:59,680 Speaker 3: whether it comes back in this month in February, and 36 00:01:59,720 --> 00:02:02,080 Speaker 3: that's what the FED will be looking for. But it 37 00:02:02,160 --> 00:02:05,240 Speaker 3: kind of offsets the CPI numbers, which is why I 38 00:02:05,240 --> 00:02:08,960 Speaker 3: think you're seeing some rallying inequities today. Because when the 39 00:02:09,000 --> 00:02:11,959 Speaker 3: CPI came out, everybody wrote off the FED cutting rates 40 00:02:12,000 --> 00:02:15,040 Speaker 3: anytime sooner. But if the economy's slowing down, maybe they will. 41 00:02:15,440 --> 00:02:18,560 Speaker 3: So the psychology, the psychological game continues. 42 00:02:18,680 --> 00:02:21,040 Speaker 4: But let's draw the connection between the inflation data we 43 00:02:21,120 --> 00:02:23,840 Speaker 4: got and the retail sales number. If inflation is indeed 44 00:02:23,840 --> 00:02:27,160 Speaker 4: hotter then you expect, Mike, then wouldn't consumers start to 45 00:02:27,160 --> 00:02:28,600 Speaker 4: slow down more into the year. 46 00:02:30,480 --> 00:02:33,239 Speaker 3: Well, there's two ways to consider this. One is that 47 00:02:33,639 --> 00:02:36,720 Speaker 3: inflation is built into the prices. These are nominal numbers 48 00:02:36,720 --> 00:02:40,800 Speaker 3: for retail sales. So if inflation is higher and you 49 00:02:40,880 --> 00:02:43,399 Speaker 3: subtract it out to get the real figures, they're even 50 00:02:43,440 --> 00:02:47,160 Speaker 3: worse than they looked. But I think the kind of 51 00:02:47,240 --> 00:02:52,320 Speaker 3: inflation that we saw in many service industries it was 52 00:02:52,360 --> 00:02:55,440 Speaker 3: the primary reason that we saw the CPI go up, 53 00:02:55,480 --> 00:02:57,360 Speaker 3: so it may not have had as much of an 54 00:02:57,360 --> 00:03:00,000 Speaker 3: effect on retail sales, which are largely good. 55 00:03:00,720 --> 00:03:03,120 Speaker 2: Okay, Mike, Anything else in these two reports that we 56 00:03:03,160 --> 00:03:05,080 Speaker 2: got earlier today that we need to make sure we 57 00:03:05,160 --> 00:03:05,960 Speaker 2: understand here. 58 00:03:07,320 --> 00:03:09,160 Speaker 3: Well, one thing I would point out is that for 59 00:03:09,200 --> 00:03:11,639 Speaker 3: the first time in about nine months, we saw import 60 00:03:11,639 --> 00:03:15,839 Speaker 3: prices rise, and that's even ex petroleum. Petroleum prices push 61 00:03:15,880 --> 00:03:18,320 Speaker 3: them up. But we also saw some goods prices go 62 00:03:18,440 --> 00:03:23,519 Speaker 3: up in import prices. The Philadelphia surveyed reported that their 63 00:03:23,560 --> 00:03:26,960 Speaker 3: prices paid index went up, not much, it's still low, 64 00:03:27,000 --> 00:03:30,680 Speaker 3: but it went up. So with CPI and those two things, 65 00:03:30,720 --> 00:03:34,480 Speaker 3: it may be a bit worrying that inflation might be 66 00:03:34,520 --> 00:03:36,640 Speaker 3: picking up. And again we just have to look at 67 00:03:36,640 --> 00:03:40,800 Speaker 3: the retail sales numbers and say, maybe that's offsetting it somewhat. 68 00:03:40,800 --> 00:03:43,640 Speaker 3: If the economy is slowing, then inflation should slow. 69 00:03:45,160 --> 00:03:48,000 Speaker 4: The question yet becomes to there's a lot of economic 70 00:03:48,040 --> 00:03:51,000 Speaker 4: data still ahead, Mike. Tomorrow we get producer prices as well. 71 00:03:51,240 --> 00:03:55,839 Speaker 3: What's the expectation, Well, the expectations we get a little 72 00:03:55,840 --> 00:03:59,240 Speaker 3: bit of inflation. Producer prices have run below the CPI 73 00:03:59,400 --> 00:04:02,920 Speaker 3: significant for quite some time. They're in the one percent 74 00:04:03,080 --> 00:04:05,240 Speaker 3: range one to two percent range on a year over 75 00:04:05,320 --> 00:04:08,880 Speaker 3: year basis, so there's no reason to really think that 76 00:04:08,920 --> 00:04:12,080 Speaker 3: they're going to go up significantly. If they do, we'll 77 00:04:12,120 --> 00:04:16,560 Speaker 3: want to see what categories where might some inflation pressure come. 78 00:04:17,000 --> 00:04:21,239 Speaker 3: Also tomorrow we get the University of Michigan's consumer sentiment numbers, 79 00:04:21,560 --> 00:04:23,760 Speaker 3: and that's always important to the FED because they want 80 00:04:23,800 --> 00:04:28,839 Speaker 3: to see what people's inflation expectations are. They've been moving down, 81 00:04:29,080 --> 00:04:32,920 Speaker 3: they were significantly lower last month, and so if that continues, 82 00:04:32,960 --> 00:04:36,080 Speaker 3: then the FED is a little less worried about what 83 00:04:36,120 --> 00:04:37,320 Speaker 3: the CPI might mean. 84 00:04:37,800 --> 00:04:39,800 Speaker 2: We got news Mike just in about the last hour 85 00:04:39,880 --> 00:04:42,440 Speaker 2: that Fed Jo J. Powell is going to be testifying 86 00:04:42,720 --> 00:04:45,800 Speaker 2: before the House Financial Services Committee come March sixth, this 87 00:04:45,880 --> 00:04:48,919 Speaker 2: from punch Bowl. Is this a surprise at all? What 88 00:04:48,960 --> 00:04:51,640 Speaker 2: do we need to understand about him testifying? And wow, 89 00:04:51,800 --> 00:04:52,440 Speaker 2: less than a month. 90 00:04:53,960 --> 00:04:56,480 Speaker 3: This is his regularly scheduled what we used to call 91 00:04:56,560 --> 00:05:00,000 Speaker 3: Humphrey Hawkins testimony. He'll talk to the House Financial Service 92 00:05:00,000 --> 00:05:01,480 Speaker 3: this is a committee one day, and then he'll talk 93 00:05:01,520 --> 00:05:04,880 Speaker 3: to the Senate Banking Committee the next day. So it's 94 00:05:04,920 --> 00:05:07,599 Speaker 3: not a surprise. It's a little bit later than usual, 95 00:05:07,680 --> 00:05:09,600 Speaker 3: but we had been warned off the record that it 96 00:05:09,680 --> 00:05:13,240 Speaker 3: wasn't probably going to come until March. What will be 97 00:05:13,320 --> 00:05:15,800 Speaker 3: interesting is that that gets us very close to the 98 00:05:15,839 --> 00:05:19,520 Speaker 3: next FED meeting on March twentieth, So we have a 99 00:05:19,560 --> 00:05:22,279 Speaker 3: lot of Fed speak between now and then. That may 100 00:05:22,320 --> 00:05:25,080 Speaker 3: not matter because Wall Street's going to wait and see 101 00:05:25,080 --> 00:05:27,640 Speaker 3: what Jay Powell has to say those days, and I 102 00:05:27,720 --> 00:05:30,880 Speaker 3: bet you we get on Bloomberg Radio and television big 103 00:05:30,960 --> 00:05:34,240 Speaker 3: ratings on March sixth, at least when he first starts 104 00:05:34,240 --> 00:05:37,000 Speaker 3: to give his view of the economy and what policy 105 00:05:37,120 --> 00:05:38,080 Speaker 3: might be going forward. 106 00:05:38,279 --> 00:05:40,520 Speaker 2: Yes, people want to watch him, and people want to 107 00:05:40,560 --> 00:05:42,400 Speaker 2: see him and hear what he has to say, of course, 108 00:05:42,640 --> 00:05:44,000 Speaker 2: but we want to hear what's going on at the 109 00:05:44,279 --> 00:05:46,240 Speaker 2: conference that you're at, Mike, I didn't know this thing 110 00:05:46,279 --> 00:05:49,760 Speaker 2: started on Valentine's Day. What happened yesterday? What's going on 111 00:05:49,800 --> 00:05:54,040 Speaker 2: today and tomorrow? Down in DC, yesterday was quite interesting. 112 00:05:54,080 --> 00:05:57,520 Speaker 3: We had a presentation from Charlie Cook, he's the guru 113 00:05:57,760 --> 00:06:01,720 Speaker 3: of political analysts here in why Washington, who suggested that 114 00:06:01,760 --> 00:06:06,320 Speaker 3: the Biden administration is in trouble, not because people think 115 00:06:06,360 --> 00:06:10,120 Speaker 3: that Donald Trump's a great guy, but because the economy's 116 00:06:10,279 --> 00:06:14,359 Speaker 3: improvements haven't registered with the average voter yet and that's 117 00:06:14,400 --> 00:06:17,360 Speaker 3: got to turn around or it could be an issue 118 00:06:17,400 --> 00:06:20,640 Speaker 3: for Joe Biden. That we heard from Michael Barr, who 119 00:06:20,680 --> 00:06:23,160 Speaker 3: is the Vice Chairman for Supervision at the FED, who 120 00:06:23,480 --> 00:06:27,200 Speaker 3: said that basically two things, He's with j Powell and 121 00:06:27,640 --> 00:06:30,120 Speaker 3: slowing down and waiting to see more data as far 122 00:06:30,160 --> 00:06:33,160 Speaker 3: as monetary policy is concerned. But he also addressed to 123 00:06:33,160 --> 00:06:36,880 Speaker 3: all the concerns on Wall Street about NYCB and regional 124 00:06:36,920 --> 00:06:40,520 Speaker 3: banks and their exposures to commercial real estate, suggesting that 125 00:06:40,560 --> 00:06:43,600 Speaker 3: this was maybe a one off because NYCB had bought 126 00:06:43,680 --> 00:06:47,919 Speaker 3: signature banks bad loans and that the system was under control, 127 00:06:48,000 --> 00:06:50,920 Speaker 3: there was no real systemic danger that the FED was 128 00:06:51,200 --> 00:06:53,840 Speaker 3: on top of it. That was kind of reinforced at 129 00:06:53,839 --> 00:06:57,400 Speaker 3: a seminar today on commercial real estate, where basically the 130 00:07:00,040 --> 00:07:05,880 Speaker 3: consensus was that we will see some some banks struggle 131 00:07:05,960 --> 00:07:09,680 Speaker 3: with commercial real estate loans, but in general the system 132 00:07:09,800 --> 00:07:14,920 Speaker 3: isn't as bad as it has been portrayed. So so far, 133 00:07:15,000 --> 00:07:17,760 Speaker 3: so good. We also had Mario Draghi here today talking 134 00:07:17,800 --> 00:07:21,480 Speaker 3: about globalization, and of course he's always a big favorite 135 00:07:21,520 --> 00:07:22,440 Speaker 3: of everyone. 136 00:07:22,800 --> 00:07:24,840 Speaker 2: Michael McKee gonna have to leave it there, don't have 137 00:07:24,880 --> 00:07:26,960 Speaker 2: too much fun in Washington. I hope you come back 138 00:07:26,960 --> 00:07:29,440 Speaker 2: tomorrow and we can see here in the office. That's 139 00:07:29,480 --> 00:07:32,840 Speaker 2: Michael McKee, International Economics and Policy correspondent, joining us from 140 00:07:32,840 --> 00:07:36,520 Speaker 2: the National Association for Business Economics conference in Washington. 141 00:07:37,400 --> 00:07:40,920 Speaker 1: You're listening to the Bloomberg Business Week podcast. Catch us 142 00:07:40,960 --> 00:07:44,160 Speaker 1: live weekday afternoons from two to five pm Eastern Listen 143 00:07:44,240 --> 00:07:46,400 Speaker 1: on Apple car Play and then Brout Auto with a 144 00:07:46,400 --> 00:07:50,560 Speaker 1: Bloomberg Business app or watch us live on YouTube. 145 00:07:51,000 --> 00:07:52,880 Speaker 2: Well, here's some good news. At a mere one point 146 00:07:53,000 --> 00:07:55,840 Speaker 2: nine percent, the state of Maryland has the lowest unemployment 147 00:07:55,920 --> 00:07:58,240 Speaker 2: rate in the entire country, and at more than one 148 00:07:58,320 --> 00:08:00,680 Speaker 2: hundred and eight thousand dollars a year, got the highest 149 00:08:00,680 --> 00:08:04,640 Speaker 2: median household income in the US. And then there's the 150 00:08:04,680 --> 00:08:07,080 Speaker 2: not so good news. Maryland's economy is growing at a 151 00:08:07,120 --> 00:08:10,200 Speaker 2: slower rate than the US economy and its neighbors Pennsylvania 152 00:08:10,280 --> 00:08:13,880 Speaker 2: and Virginia, and labor force participation has not recovered to 153 00:08:14,000 --> 00:08:17,280 Speaker 2: pre pandemic levels. These figures are highlighted in a report 154 00:08:17,320 --> 00:08:19,720 Speaker 2: last month from the Maryland State Controller's Office, the first 155 00:08:19,760 --> 00:08:22,560 Speaker 2: report of its kind to be released. Let's get to 156 00:08:22,560 --> 00:08:25,520 Speaker 2: the interview we have with us this afternoon, Maryland's Comptroller 157 00:08:25,520 --> 00:08:29,760 Speaker 2: Brook Leerman. She joins us from our Washington DC Bureau Comptroller. Welcome, 158 00:08:30,160 --> 00:08:32,240 Speaker 2: It's good to have you on the program this afternoon. 159 00:08:32,320 --> 00:08:33,959 Speaker 2: As I mentioned, there are a lot of good numbers 160 00:08:34,200 --> 00:08:36,839 Speaker 2: in the report, but there's also a lot of challenges here. 161 00:08:37,440 --> 00:08:40,559 Speaker 2: Take your biggest challenge, give us your biggest challenge. What 162 00:08:40,679 --> 00:08:42,040 Speaker 2: in here concerns you the most? 163 00:08:43,080 --> 00:08:45,280 Speaker 5: Thank you so much. Tim, As you said, you know, 164 00:08:45,320 --> 00:08:47,960 Speaker 5: Maryland is doing so well in so many ways. But 165 00:08:48,080 --> 00:08:51,760 Speaker 5: what we saw in this report through our numbers and 166 00:08:51,840 --> 00:08:54,840 Speaker 5: analysis as well as roundtables around the state, is that 167 00:08:54,880 --> 00:08:57,160 Speaker 5: our labor force is constrained. You know, we have a 168 00:08:57,200 --> 00:09:01,520 Speaker 5: traditionally very high labor force participation rate in Maryland and 169 00:09:01,559 --> 00:09:03,600 Speaker 5: we still have a rate that is higher than the 170 00:09:03,679 --> 00:09:07,719 Speaker 5: national average, but we haven't quite recovered from COVID, and 171 00:09:07,760 --> 00:09:11,080 Speaker 5: so some of our economy is really constrained in the 172 00:09:11,120 --> 00:09:14,320 Speaker 5: private sector growth. We're seeing good federal sector growth, but 173 00:09:14,360 --> 00:09:18,120 Speaker 5: the private sector growth is constrained because of this, uh labor, 174 00:09:18,240 --> 00:09:21,360 Speaker 5: these labor force challenges. So you know, we were excited 175 00:09:21,360 --> 00:09:24,240 Speaker 5: to release this report so that our policy makers, our 176 00:09:24,280 --> 00:09:26,560 Speaker 5: governor and others can and can really start to tackle 177 00:09:26,600 --> 00:09:28,920 Speaker 5: these challenges and our economy can continue to grow. 178 00:09:29,000 --> 00:09:32,840 Speaker 4: Now, controller what are the biggest challenges in the workforce 179 00:09:33,000 --> 00:09:36,000 Speaker 4: and who is bearing the brunt of the pain here? 180 00:09:37,600 --> 00:09:39,559 Speaker 5: So it's a good question. You know, we are really 181 00:09:39,880 --> 00:09:43,520 Speaker 5: fortunate as a state to have a robust and unique 182 00:09:43,600 --> 00:09:46,120 Speaker 5: set of industries in the state. You know, from federal 183 00:09:46,160 --> 00:09:50,640 Speaker 5: to government to the port to unique biotech and cybersecurity 184 00:09:50,640 --> 00:09:54,080 Speaker 5: and more all across the state, as well as numerous universities. 185 00:09:54,440 --> 00:09:57,960 Speaker 5: What we saw in the data is that women have 186 00:09:58,120 --> 00:10:02,559 Speaker 5: left the workforce at a higher rate in Maryland then nationally, 187 00:10:02,880 --> 00:10:06,080 Speaker 5: So that's something that we're really focused on. We also 188 00:10:06,120 --> 00:10:08,560 Speaker 5: have seen some health challenges over the years because of 189 00:10:08,559 --> 00:10:12,719 Speaker 5: the opioid epidemic and so and continuing health concerns, and 190 00:10:13,080 --> 00:10:15,079 Speaker 5: so we want to make sure that we're focusing gotten 191 00:10:15,120 --> 00:10:18,240 Speaker 5: there as well. And then finally, I will say, you know, 192 00:10:18,280 --> 00:10:21,480 Speaker 5: our population growth is so important. You know, when you're 193 00:10:21,520 --> 00:10:24,200 Speaker 5: talking about labor force, it's about you know, the number 194 00:10:24,240 --> 00:10:27,160 Speaker 5: of people both who live in Maryland and are participating. 195 00:10:27,480 --> 00:10:30,520 Speaker 5: And we have seen lower numbers of growth in terms 196 00:10:30,520 --> 00:10:33,640 Speaker 5: of population in the past few years since COVID, and 197 00:10:33,720 --> 00:10:35,640 Speaker 5: so we want to make sure that there's a place 198 00:10:35,679 --> 00:10:38,000 Speaker 5: for everyone in Maryland that they can afford a home, 199 00:10:38,040 --> 00:10:40,199 Speaker 5: that they can send their kids to our great public schools. 200 00:10:40,440 --> 00:10:42,160 Speaker 5: And so that's where we're focusing as well. 201 00:10:42,320 --> 00:10:44,600 Speaker 2: Okay, Controller, I want to zero in on one issue 202 00:10:44,640 --> 00:10:47,320 Speaker 2: that you mentioned, it's women leaving the workforce. I was 203 00:10:47,360 --> 00:10:51,040 Speaker 2: really shocked to see the decline of childcare centers in 204 00:10:51,120 --> 00:10:55,200 Speaker 2: this report in the state of Maryland. We are seeing 205 00:10:55,559 --> 00:10:57,880 Speaker 2: that you predict by twenty twenty seven there will be 206 00:10:57,920 --> 00:11:00,920 Speaker 2: only twenty seven hundred child care providers in the state, 207 00:11:00,960 --> 00:11:04,679 Speaker 2: down from nearly six thousand in twenty eighteen. I've got 208 00:11:04,679 --> 00:11:07,520 Speaker 2: two little kids. Childcare is front and center for my 209 00:11:07,600 --> 00:11:10,040 Speaker 2: wife and I. How do you fix this in the state? 210 00:11:10,160 --> 00:11:11,480 Speaker 2: Can you do that? As Controller? 211 00:11:12,640 --> 00:11:14,760 Speaker 5: So, you know, one of the things about my job 212 00:11:14,800 --> 00:11:19,160 Speaker 5: that I love is that I can partner with our governor, 213 00:11:19,640 --> 00:11:23,160 Speaker 5: you know, with other our General Assembly or Speaker, Senate presidents. 214 00:11:23,520 --> 00:11:27,240 Speaker 5: So as the Controller, I really serve as the elected CFO. 215 00:11:26,880 --> 00:11:27,880 Speaker 6: Of the state of Maryland. 216 00:11:27,880 --> 00:11:31,280 Speaker 5: And this report is about identifying some of those challenges 217 00:11:31,600 --> 00:11:34,080 Speaker 5: so that our General Assembly and our governor have the 218 00:11:34,120 --> 00:11:37,680 Speaker 5: information and can then formulate policies to tackle some of 219 00:11:37,679 --> 00:11:41,360 Speaker 5: those challenges and seize opportunities. And this childcare one is 220 00:11:41,360 --> 00:11:44,280 Speaker 5: a huge one. I'm also a mom with two children. 221 00:11:44,320 --> 00:11:47,720 Speaker 5: I understand the challenge of finding childcare and it is 222 00:11:47,840 --> 00:11:50,000 Speaker 5: essential that we get it right right, that we make 223 00:11:50,040 --> 00:11:53,400 Speaker 5: sure that they're space in our economy for childcare providers 224 00:11:53,400 --> 00:11:56,199 Speaker 5: of all types, the private settings, but also the in 225 00:11:56,280 --> 00:12:00,959 Speaker 5: home care that many Marylanders and many folks who are 226 00:12:00,960 --> 00:12:04,440 Speaker 5: below meeting income really rely on. And so that is 227 00:12:04,480 --> 00:12:07,199 Speaker 5: certainly a focus of the General Assembly and the governor 228 00:12:07,440 --> 00:12:09,280 Speaker 5: in fact mentioned it in a State of the State 229 00:12:09,320 --> 00:12:10,320 Speaker 5: of the address this year. 230 00:12:10,480 --> 00:12:12,880 Speaker 2: Do you think it's something that the state can fix 231 00:12:12,920 --> 00:12:15,120 Speaker 2: on its own or do you need the federal government 232 00:12:15,120 --> 00:12:15,520 Speaker 2: to help. 233 00:12:16,520 --> 00:12:18,600 Speaker 5: I think it's going to have to be a partnership. 234 00:12:18,640 --> 00:12:20,680 Speaker 5: You know, we will work with the federal government in 235 00:12:20,720 --> 00:12:24,400 Speaker 5: terms of the childcare block grant program. You know, many 236 00:12:24,480 --> 00:12:28,120 Speaker 5: years ago we changed how we paid in Maryland to 237 00:12:28,160 --> 00:12:31,079 Speaker 5: pay more. In fact, in the Office of the Controller. 238 00:12:31,320 --> 00:12:35,440 Speaker 5: Just this past year, we completely changed how, working with 239 00:12:35,440 --> 00:12:38,840 Speaker 5: the Maryland State Department of Education, how we reimburse childcare 240 00:12:38,840 --> 00:12:42,640 Speaker 5: providers so that we could provide repayments and reimbursements in 241 00:12:42,679 --> 00:12:46,080 Speaker 5: a much more timely fashion. So we're very focused on 242 00:12:46,160 --> 00:12:49,080 Speaker 5: that childcare piece to ensure that women have the opportunities 243 00:12:49,080 --> 00:12:51,240 Speaker 5: that they want to work out of the home. 244 00:12:51,880 --> 00:12:53,400 Speaker 4: I want to switch gears a little bit here, and 245 00:12:53,440 --> 00:12:55,800 Speaker 4: I want to talk about something that's on the top 246 00:12:55,840 --> 00:12:57,600 Speaker 4: of a lot of people's minds right now. It is 247 00:12:57,720 --> 00:13:01,120 Speaker 4: tax season. I want to think about your posturing versus 248 00:13:01,120 --> 00:13:03,800 Speaker 4: some of the others around you. For example, vir Junior 249 00:13:03,840 --> 00:13:06,960 Speaker 4: Governor Glenn Youngkin has been of the side of saying 250 00:13:07,000 --> 00:13:10,679 Speaker 4: that taxes are too high yet at state and local levels, 251 00:13:10,760 --> 00:13:13,800 Speaker 4: and at the federal level, we're obviously facing a massive 252 00:13:13,880 --> 00:13:16,560 Speaker 4: constraints on budgets. How do you think about the tax 253 00:13:16,600 --> 00:13:18,680 Speaker 4: equation for the folks who live in Maryland. 254 00:13:20,240 --> 00:13:22,400 Speaker 5: I think we can never enter into a race to 255 00:13:22,440 --> 00:13:25,160 Speaker 5: the bottom. You know, Maryland and Maryland. We're proud of 256 00:13:25,200 --> 00:13:29,240 Speaker 5: our amazing public schools. I graduated from Maryland public schools. 257 00:13:29,240 --> 00:13:32,079 Speaker 5: My two children are in public schools. We have amazing 258 00:13:32,120 --> 00:13:35,800 Speaker 5: state parks, we have a robust healthcare system, and so 259 00:13:36,080 --> 00:13:38,880 Speaker 5: I would caution us against, you know, entering into any 260 00:13:38,920 --> 00:13:41,280 Speaker 5: sort of race to the bottom. As in terms of 261 00:13:41,320 --> 00:13:43,839 Speaker 5: tax policy, I think what we have to focus on 262 00:13:44,040 --> 00:13:47,120 Speaker 5: is making sure that Marylanders are getting the support that 263 00:13:47,160 --> 00:13:50,520 Speaker 5: they need, that our businesses are able to grow and 264 00:13:50,679 --> 00:13:53,520 Speaker 5: thrive here in the state of Maryland, and that we 265 00:13:53,600 --> 00:13:57,560 Speaker 5: have the labor force available, a well educated, a well 266 00:13:57,559 --> 00:14:01,040 Speaker 5: trained workforce available for employers so that they know that 267 00:14:01,120 --> 00:14:03,680 Speaker 5: they can grow here over the long term. 268 00:14:03,720 --> 00:14:05,600 Speaker 4: Curious about the race to the bottom a little more, 269 00:14:05,679 --> 00:14:09,559 Speaker 4: how do you compete with other states that are participating 270 00:14:09,720 --> 00:14:12,000 Speaker 4: in that race to the bottom, particularly if you're trying 271 00:14:12,000 --> 00:14:12,880 Speaker 4: to build a labor. 272 00:14:12,679 --> 00:14:14,920 Speaker 6: Force well over the long term. 273 00:14:14,960 --> 00:14:17,680 Speaker 5: What you see is you know, although Marylanders, if you 274 00:14:17,720 --> 00:14:21,080 Speaker 5: look at the age brackets, Marylanders may be moving out 275 00:14:21,080 --> 00:14:24,320 Speaker 5: of state when they're younger, when they're older, we actually 276 00:14:24,360 --> 00:14:28,600 Speaker 5: see you know, the prime work age workforce age Maryland 277 00:14:28,640 --> 00:14:32,200 Speaker 5: people moving into the States. And that's because of our schools, 278 00:14:32,240 --> 00:14:35,040 Speaker 5: it's because of our opportunities, it's because of our housing stock. 279 00:14:35,440 --> 00:14:39,600 Speaker 5: Those are those folks are finding their way to Maryland 280 00:14:39,680 --> 00:14:43,600 Speaker 5: because of its reputation for being such a family supporting state. 281 00:14:43,760 --> 00:14:46,000 Speaker 5: And so you know, that's where we have to focus 282 00:14:46,040 --> 00:14:49,400 Speaker 5: on making sure then that those Marylanders are can find 283 00:14:49,400 --> 00:14:52,040 Speaker 5: the housing that they need. Right, I think where I 284 00:14:52,080 --> 00:14:54,800 Speaker 5: would focus is on making sure that the housing is 285 00:14:54,800 --> 00:14:58,200 Speaker 5: available so that people can grow here, thrive here, and 286 00:14:58,240 --> 00:15:00,240 Speaker 5: then retire here as well. 287 00:15:00,560 --> 00:15:03,560 Speaker 2: I want to talk about federal government employment because a 288 00:15:03,640 --> 00:15:06,320 Speaker 2: relatively large portion of the state compared to other states, 289 00:15:07,160 --> 00:15:10,080 Speaker 2: works for the federal government five point seven percent of 290 00:15:10,320 --> 00:15:13,040 Speaker 2: Maryland total of total Maryland employment, compared to one point 291 00:15:13,120 --> 00:15:17,080 Speaker 2: nine percent of total employment nationally. Obviously, it's good for 292 00:15:17,120 --> 00:15:20,080 Speaker 2: stability because these government jobs are stable. But I'm wondering 293 00:15:20,120 --> 00:15:23,520 Speaker 2: what the downsides are of having so many government workers. 294 00:15:23,560 --> 00:15:26,240 Speaker 2: Since those jobs are so stable, doesn't mean the working 295 00:15:26,280 --> 00:15:29,000 Speaker 2: population doesn't necessarily have the same rate of people going 296 00:15:29,040 --> 00:15:31,880 Speaker 2: and starting their own businesses of entrepreneurship. Talk to us 297 00:15:31,880 --> 00:15:32,600 Speaker 2: a little bit about that. 298 00:15:33,560 --> 00:15:35,800 Speaker 5: Sure, you know, we haven't seen that in Maryland. We're 299 00:15:35,920 --> 00:15:39,320 Speaker 5: very fortunate to have I think this high federal employment, 300 00:15:40,040 --> 00:15:42,600 Speaker 5: although it sometimes says get a little dicey when the 301 00:15:42,600 --> 00:15:46,200 Speaker 5: federal government might shut down, but you know, for the 302 00:15:46,200 --> 00:15:48,440 Speaker 5: most part, it's a real boom to Maryland. And we're 303 00:15:48,480 --> 00:15:52,400 Speaker 5: really excited to be welcoming the FBI headquarters to Maryland 304 00:15:52,400 --> 00:15:55,480 Speaker 5: in the coming years. Because we have such a robust 305 00:15:56,800 --> 00:16:00,240 Speaker 5: series of research universities and the state as well well, 306 00:16:00,440 --> 00:16:03,440 Speaker 5: including of course JOHNS Hopkins, the University of Maryland System 307 00:16:03,520 --> 00:16:08,040 Speaker 5: and more Morgan State. We have a number of entrepreneurs 308 00:16:08,480 --> 00:16:11,640 Speaker 5: and ideas and sort of that's that are coming out 309 00:16:11,680 --> 00:16:16,800 Speaker 5: of those universities. We see enormous tech transfer possibilities. We 310 00:16:16,880 --> 00:16:20,040 Speaker 5: also are really fortunate to have, you know, a large 311 00:16:20,080 --> 00:16:23,000 Speaker 5: number of immigrants in the state of Maryland, and we 312 00:16:23,120 --> 00:16:26,160 Speaker 5: see a number of immigrants who are great entrepreneurs opening 313 00:16:26,240 --> 00:16:27,560 Speaker 5: businesses in the state as well. 314 00:16:28,480 --> 00:16:31,600 Speaker 4: Com Schuller with the type of fighting, if you hill, 315 00:16:31,760 --> 00:16:34,360 Speaker 4: that we've been seeing coming out of Congress. Do you 316 00:16:34,560 --> 00:16:36,960 Speaker 4: share a concern with so many federal workers being in 317 00:16:37,000 --> 00:16:39,760 Speaker 4: Maryland of a risk of a government shut down. 318 00:16:41,560 --> 00:16:45,600 Speaker 5: Absolutely, you know, it's for so many reasons. A government 319 00:16:45,600 --> 00:16:50,800 Speaker 5: shut down is irresponsible and challenging, you know, certainly globally, 320 00:16:51,320 --> 00:16:53,760 Speaker 5: but here in Maryland it is as well. You know, 321 00:16:53,840 --> 00:16:56,160 Speaker 5: those workers are having to go to work and they're 322 00:16:56,200 --> 00:16:59,440 Speaker 5: not getting paid, or they're not working and they're not 323 00:16:59,440 --> 00:17:03,320 Speaker 5: getting paid. It's incredibly challenging. Over the long term, they 324 00:17:03,400 --> 00:17:06,320 Speaker 5: do get paid, and so the revenue does come in 325 00:17:06,359 --> 00:17:10,360 Speaker 5: both to their household and to the state. The most challenging, 326 00:17:10,680 --> 00:17:12,919 Speaker 5: one of the most challenging times that our economy has 327 00:17:12,960 --> 00:17:17,160 Speaker 5: had relating to the federal government was actually was actually 328 00:17:17,240 --> 00:17:21,840 Speaker 5: after Seaquestration. We saw real challenges after that because of 329 00:17:21,880 --> 00:17:24,080 Speaker 5: the long term effect that sequestration had. 330 00:17:24,520 --> 00:17:26,439 Speaker 2: We only have about thirty seconds left. But you were 331 00:17:26,440 --> 00:17:28,920 Speaker 2: a Democratic delegate back in twenty sixteen. I got to 332 00:17:28,920 --> 00:17:32,000 Speaker 2: ask you a national question about the Democratic Party. Why 333 00:17:32,000 --> 00:17:34,440 Speaker 2: do you think there haven't been more competition from within 334 00:17:34,480 --> 00:17:37,760 Speaker 2: the Democratic Party against President Biden given the challenges that 335 00:17:37,800 --> 00:17:38,800 Speaker 2: he faces for reelection. 336 00:17:40,520 --> 00:17:45,240 Speaker 5: President Biden and the Democrats in Congress have passed more 337 00:17:45,359 --> 00:17:49,680 Speaker 5: important legislation in the past two years than I can 338 00:17:49,720 --> 00:17:53,760 Speaker 5: remember in decades. I mean, from the IRA to the 339 00:17:53,880 --> 00:17:57,240 Speaker 5: Chips Act to the Infrastructure Bill. I mean, the legislation 340 00:17:57,359 --> 00:18:00,000 Speaker 5: that has come out is in phenomenal and it is 341 00:18:00,080 --> 00:18:03,119 Speaker 5: game changing for not just the state of Maryland in 342 00:18:03,160 --> 00:18:05,760 Speaker 5: the coming years, but really for our country. And so, 343 00:18:06,200 --> 00:18:08,080 Speaker 5: you know, I just think the progress that has been 344 00:18:08,080 --> 00:18:12,119 Speaker 5: made under the Democrats, it can't be denied. And our 345 00:18:12,160 --> 00:18:16,040 Speaker 5: economy has grown as well, and so I'm excited about 346 00:18:16,040 --> 00:18:16,560 Speaker 5: what's happening. 347 00:18:16,640 --> 00:18:18,960 Speaker 2: Controller, thank you so much for joining us. That's Brooklearman, 348 00:18:19,040 --> 00:18:20,880 Speaker 2: Maryland's controller, joining us from Washington. 349 00:18:22,840 --> 00:18:26,720 Speaker 1: You're listening to the Bloomberg Business Week podcast. Listen live 350 00:18:26,800 --> 00:18:29,960 Speaker 1: each weekday starting at two pm Eastern on applecar Play 351 00:18:30,040 --> 00:18:32,880 Speaker 1: and Android Auto with the Bloomberg Business App. You can 352 00:18:32,920 --> 00:18:36,159 Speaker 1: also listen live on Amazon Alexa from our flagship New 353 00:18:36,240 --> 00:18:40,119 Speaker 1: York station, just Say Alexa playing Bloomberg eleven thirty. 354 00:18:41,359 --> 00:18:44,920 Speaker 2: Well. US retail sales broadly declined in January, indicating consumers 355 00:18:44,960 --> 00:18:47,800 Speaker 2: took a breather after a strong holiday shopping season. The 356 00:18:47,880 --> 00:18:51,480 Speaker 2: value of retail purchases, unadjusted for inflation, decreased eight tens 357 00:18:51,480 --> 00:18:54,600 Speaker 2: of one percent from December. This after a downward revision 358 00:18:54,600 --> 00:18:57,359 Speaker 2: to the prior month. This according to Commerce Department data 359 00:18:57,400 --> 00:19:00,480 Speaker 2: that we got earlier today, that drop was the biggest 360 00:19:00,760 --> 00:19:03,520 Speaker 2: in nearly a year. For more on this and more 361 00:19:03,520 --> 00:19:06,000 Speaker 2: when it comes to retail, let's bring in Angie Solanki, 362 00:19:06,440 --> 00:19:09,400 Speaker 2: National director of US Retail at Colliers. She joins us 363 00:19:09,440 --> 00:19:12,760 Speaker 2: from San Francisco. Good to have you back on the program. 364 00:19:13,080 --> 00:19:14,639 Speaker 2: I want to start with today's data, but then I 365 00:19:14,640 --> 00:19:17,080 Speaker 2: want to move beyond that and get to what you're 366 00:19:17,119 --> 00:19:21,359 Speaker 2: seeing in your work in terms of AI, in terms 367 00:19:21,359 --> 00:19:24,320 Speaker 2: of efficiencies, and really what we're seeing in the future 368 00:19:24,320 --> 00:19:27,080 Speaker 2: of retail. But were these numbers at all a surprise 369 00:19:27,160 --> 00:19:29,040 Speaker 2: to you that we got a little earlier today. What 370 00:19:29,119 --> 00:19:30,240 Speaker 2: are you seeing in your work? 371 00:19:31,280 --> 00:19:33,280 Speaker 7: Yeah, I mean, if we look at the numbers, you know, 372 00:19:33,359 --> 00:19:36,439 Speaker 7: it's a reasonable start to twenty twenty four. It's just 373 00:19:36,560 --> 00:19:39,199 Speaker 7: you know, our January numbers, it's not fatal. If we 374 00:19:39,280 --> 00:19:42,879 Speaker 7: really look at core retail in terms of increase, it 375 00:19:42,920 --> 00:19:45,119 Speaker 7: was about two point eight percent, so that's pretty healthy. 376 00:19:45,480 --> 00:19:47,760 Speaker 7: And if we really look at you know, back two 377 00:19:47,800 --> 00:19:50,840 Speaker 7: to three years, you know what we've seen from retailers 378 00:19:50,880 --> 00:19:54,320 Speaker 7: is really that operational efficiency and how they're looking forward 379 00:19:54,359 --> 00:19:59,160 Speaker 7: in terms of utilizing different tools and platforms to increase 380 00:19:59,200 --> 00:20:01,280 Speaker 7: their EFFICI season margins going for. 381 00:20:01,880 --> 00:20:04,120 Speaker 4: A big question that a lot of investors have too 382 00:20:04,280 --> 00:20:07,520 Speaker 4: is if they're using money to invest in things like 383 00:20:07,560 --> 00:20:11,080 Speaker 4: AI to increase operational efficiency, how much of that money 384 00:20:11,240 --> 00:20:16,680 Speaker 4: is turned around and used to pay employees? For example, 385 00:20:17,200 --> 00:20:19,920 Speaker 4: do you need to raise prices for consumers in order 386 00:20:19,960 --> 00:20:23,000 Speaker 4: to invest more? How does the equation work at the 387 00:20:23,080 --> 00:20:23,600 Speaker 4: end of the day. 388 00:20:24,600 --> 00:20:27,720 Speaker 7: Yeah, you know, it's really dependent upon each of the retailers. 389 00:20:27,760 --> 00:20:30,920 Speaker 7: So each retailer will have a slightly different business model. 390 00:20:30,920 --> 00:20:33,880 Speaker 7: But what we have seen or are monitoring, I should 391 00:20:33,920 --> 00:20:38,720 Speaker 7: say closely, is using AI from an operational efficiency perspective 392 00:20:39,040 --> 00:20:41,440 Speaker 7: can be a savings of sixty to seventy percent. 393 00:20:41,880 --> 00:20:43,560 Speaker 6: Then what happens is we start. 394 00:20:43,320 --> 00:20:46,840 Speaker 7: To layer on and I'll use grocery as the category 395 00:20:46,920 --> 00:20:50,800 Speaker 7: or segment as the example, is that you then can 396 00:20:51,240 --> 00:20:55,760 Speaker 7: offer additional products through a private label system. So when 397 00:20:55,800 --> 00:20:58,600 Speaker 7: you do that, you're actually seeing a better margin increase. 398 00:20:59,000 --> 00:21:04,920 Speaker 7: So operational efficiencies margin increases allows that retailer to actually provide, 399 00:21:05,240 --> 00:21:07,280 Speaker 7: to your point earlier better wages. 400 00:21:07,560 --> 00:21:09,560 Speaker 2: What's the what are the inputs that that give them 401 00:21:09,560 --> 00:21:12,000 Speaker 2: the data that allow them to make these decisions to 402 00:21:12,040 --> 00:21:13,119 Speaker 2: have these efficiencies. 403 00:21:14,119 --> 00:21:15,760 Speaker 7: I mean, if you stop and thinking about AI right, 404 00:21:15,800 --> 00:21:18,400 Speaker 7: we're we're kind of in its you know, infancy as 405 00:21:18,400 --> 00:21:21,280 Speaker 7: it relates to retail. There's a lot of discussion around it. 406 00:21:21,320 --> 00:21:24,560 Speaker 7: There's you know, still adoption around this. We're seeing AI 407 00:21:24,680 --> 00:21:28,280 Speaker 7: used definitely from a distribution perspective, so in the supply chain, 408 00:21:28,560 --> 00:21:31,399 Speaker 7: but also where we're able to take AI step further 409 00:21:31,720 --> 00:21:34,399 Speaker 7: because we've been harvesting or I should say retailers have 410 00:21:34,480 --> 00:21:38,600 Speaker 7: been harvesting pos or point of sale data through transactions, 411 00:21:38,640 --> 00:21:41,280 Speaker 7: whether it's online or offline in the store. 412 00:21:41,560 --> 00:21:42,200 Speaker 6: So when they're. 413 00:21:42,000 --> 00:21:45,320 Speaker 7: Collecting that data, they have the ability to start utilizing 414 00:21:45,359 --> 00:21:49,040 Speaker 7: the AI overlay to start to find kind of you know, 415 00:21:49,200 --> 00:21:54,119 Speaker 7: themes around personal customization areas of where there's seems from 416 00:21:54,240 --> 00:21:57,679 Speaker 7: product so far faster than a different product. So that 417 00:21:57,800 --> 00:21:59,720 Speaker 7: is helping from an efficiency perspective. 418 00:22:00,480 --> 00:22:03,320 Speaker 4: How do you think that the year is going to 419 00:22:03,320 --> 00:22:05,600 Speaker 4: play out? You know, the thing that's really top of 420 00:22:05,640 --> 00:22:08,280 Speaker 4: mind right now for investors is that data we saw 421 00:22:08,320 --> 00:22:10,920 Speaker 4: from retail sales just this morning being worse than expected. 422 00:22:11,680 --> 00:22:14,840 Speaker 4: If the consumer starts to become more strapped this year, 423 00:22:15,640 --> 00:22:17,720 Speaker 4: what are the things that many retailers are not really 424 00:22:17,720 --> 00:22:21,280 Speaker 4: thinking about at this moment to prepare for that. 425 00:22:21,280 --> 00:22:22,320 Speaker 6: That's a great question. 426 00:22:22,440 --> 00:22:24,800 Speaker 7: So there is a little bit of what I'm calling 427 00:22:24,840 --> 00:22:29,000 Speaker 7: the you know, credit card hangover from December. There was 428 00:22:29,080 --> 00:22:31,119 Speaker 7: quite a bit of spend in December, so people are 429 00:22:31,160 --> 00:22:35,440 Speaker 7: being much more cautious. We have definitely seen big ticket items, 430 00:22:36,119 --> 00:22:37,840 Speaker 7: you know, look at it, you know, a bit of 431 00:22:37,880 --> 00:22:40,720 Speaker 7: a decrease in terms of sales and spend. But where 432 00:22:40,760 --> 00:22:44,120 Speaker 7: we have seen a shift an increase in spend has 433 00:22:44,200 --> 00:22:48,120 Speaker 7: been actually in the restaurant and bar scene. So it's 434 00:22:48,160 --> 00:22:52,080 Speaker 7: the allocation of funds. Now, looking forward into twenty twenty four, 435 00:22:52,160 --> 00:22:55,120 Speaker 7: we're going to be very you know, called it optimistically cautious. 436 00:22:55,160 --> 00:22:57,040 Speaker 7: I know we've used that word quite a bit, but 437 00:22:57,320 --> 00:22:59,679 Speaker 7: I think last year was one where we were really 438 00:23:00,080 --> 00:23:04,560 Speaker 7: focused and monitoring every single movement within retail. This year, 439 00:23:04,640 --> 00:23:08,800 Speaker 7: I think there's more of a consciousness around how people 440 00:23:08,800 --> 00:23:10,720 Speaker 7: are spending where they're spending, but it's going to be 441 00:23:10,840 --> 00:23:13,640 Speaker 7: very value driven and I don't see that changing through 442 00:23:13,760 --> 00:23:14,359 Speaker 7: throughout the year. 443 00:23:14,640 --> 00:23:16,919 Speaker 2: Where where specifically are you seeing weakness and dare I 444 00:23:16,960 --> 00:23:19,440 Speaker 2: ask if you're seeing any recession right now? 445 00:23:21,040 --> 00:23:21,560 Speaker 6: Recession. 446 00:23:21,680 --> 00:23:26,360 Speaker 7: No, we're not definitely forecasting recession as of today. What 447 00:23:26,400 --> 00:23:28,760 Speaker 7: we will, what I would suggest is that we're really 448 00:23:28,800 --> 00:23:32,439 Speaker 7: seeing in terms of, you know, a decline in sales 449 00:23:32,520 --> 00:23:35,440 Speaker 7: as a you know, electronics. We're going to continue to 450 00:23:35,480 --> 00:23:38,240 Speaker 7: see some softness in you know, kind of that tech 451 00:23:38,480 --> 00:23:43,119 Speaker 7: device sector. But from a F and B perspective, I 452 00:23:43,119 --> 00:23:45,000 Speaker 7: think we're going to still be We're a little. 453 00:23:44,760 --> 00:23:46,240 Speaker 6: We're still bullish in that sector. 454 00:23:46,280 --> 00:23:50,520 Speaker 7: We actually survey over five hundred retail professionals within our 455 00:23:50,600 --> 00:23:54,359 Speaker 7: organization to say, where are you seeing across the US 456 00:23:54,400 --> 00:23:55,600 Speaker 7: and your respective. 457 00:23:55,200 --> 00:23:58,000 Speaker 6: Local markets the most movement from. 458 00:23:57,800 --> 00:24:01,560 Speaker 7: A least transaction perspective, and it's definitely in the restaurant space. 459 00:24:02,200 --> 00:24:04,679 Speaker 4: Now, another thing we talk about a lot over here 460 00:24:04,680 --> 00:24:08,240 Speaker 4: at Bloomberg is the cost of real estate right now 461 00:24:08,280 --> 00:24:10,800 Speaker 4: in retail space, and there are a lot of retailers 462 00:24:10,840 --> 00:24:15,080 Speaker 4: that really expect to expand a physical footprint. How costly 463 00:24:15,280 --> 00:24:16,400 Speaker 4: is that expansion plan? 464 00:24:18,119 --> 00:24:21,119 Speaker 7: You know, it is market driven. I think you know 465 00:24:21,160 --> 00:24:22,840 Speaker 7: what we're seeing, you know, some. 466 00:24:22,720 --> 00:24:25,800 Speaker 6: Of the challenges is it goes back. 467 00:24:25,600 --> 00:24:32,880 Speaker 7: To construction cost, workforce as well as when you look 468 00:24:32,960 --> 00:24:36,000 Speaker 7: at where we are from an occupancy perspective in the 469 00:24:36,320 --> 00:24:41,040 Speaker 7: more urban suburban markets and secondary markets. Rents have continued 470 00:24:41,080 --> 00:24:43,679 Speaker 7: to climb and those are going to be you know, 471 00:24:43,760 --> 00:24:46,920 Speaker 7: at some point, there's there has to be a tipping point, 472 00:24:47,000 --> 00:24:50,080 Speaker 7: right because there's only so much a store can generate 473 00:24:50,160 --> 00:24:53,919 Speaker 7: in terms of sales. So we have to work collectively 474 00:24:54,040 --> 00:24:58,359 Speaker 7: landlords and retailers to make it much more a partnership 475 00:24:58,600 --> 00:25:01,320 Speaker 7: so that it is the stainable and there isn't this 476 00:25:01,480 --> 00:25:05,639 Speaker 7: like you know, flip and we're starting to see some 477 00:25:05,680 --> 00:25:08,160 Speaker 7: struggle or challenges with high rents. 478 00:25:08,480 --> 00:25:10,800 Speaker 2: What about in terms of you know, we've talked a 479 00:25:10,800 --> 00:25:13,040 Speaker 2: lot about real estate on this program over the last 480 00:25:13,119 --> 00:25:15,880 Speaker 2: few weeks, and one thing we talked about earlier this 481 00:25:15,960 --> 00:25:19,719 Speaker 2: week with the co CEOs of the design and planning 482 00:25:19,720 --> 00:25:25,800 Speaker 2: firm Gensler, is repurposing office space that isn't being used 483 00:25:25,880 --> 00:25:29,439 Speaker 2: right now, repurposing that to housing. I'm wondering what you're 484 00:25:29,480 --> 00:25:31,440 Speaker 2: seeing on the retail side right now and the way 485 00:25:31,440 --> 00:25:35,400 Speaker 2: that you're seeing retail being repurposed. Can you offer any 486 00:25:35,960 --> 00:25:39,359 Speaker 2: thoughts there about what you're seeing and if you're starting 487 00:25:39,400 --> 00:25:42,280 Speaker 2: to see that being converted to different uses. 488 00:25:43,560 --> 00:25:45,960 Speaker 7: So what we're seeing in terms of retail converting to 489 00:25:46,920 --> 00:25:50,159 Speaker 7: you know, it's retail converting to other types of uses. 490 00:25:50,600 --> 00:25:53,120 Speaker 7: So you're seeing this a lot in the mall sector. 491 00:25:53,440 --> 00:25:56,080 Speaker 7: So you're starting to see some of the larger boxes 492 00:25:56,640 --> 00:26:00,720 Speaker 7: where you have an opportunity to upgrade in terms of 493 00:26:00,760 --> 00:26:05,119 Speaker 7: the overall mix of types of products or I should 494 00:26:05,119 --> 00:26:08,040 Speaker 7: say uses within the project. So you're starting to see 495 00:26:08,040 --> 00:26:11,720 Speaker 7: some concepts such as hotels coming in, So you're starting 496 00:26:11,760 --> 00:26:14,960 Speaker 7: to see hotel operators coming in. You're also starting to 497 00:26:15,000 --> 00:26:18,120 Speaker 7: see and these are one alike. Consider malls. These are 498 00:26:18,400 --> 00:26:22,720 Speaker 7: you know, malls that may have slightly higher vacancy maybe 499 00:26:22,960 --> 00:26:25,160 Speaker 7: you know they have a seventy five to eighty percent 500 00:26:25,280 --> 00:26:30,120 Speaker 7: vacancy versus the class triple A malls. And so we're 501 00:26:30,119 --> 00:26:34,760 Speaker 7: seeing hospitality. We're also seeing healthcare, so healthcare large healthcare 502 00:26:34,880 --> 00:26:39,000 Speaker 7: organizations seeing advantages and or benefits right as it relates 503 00:26:39,040 --> 00:26:43,320 Speaker 7: to if I can bring create a convenience to my 504 00:26:44,440 --> 00:26:48,320 Speaker 7: end user and patients in this situation, and even you know, 505 00:26:48,480 --> 00:26:51,439 Speaker 7: the doctors and the staff, et cetera. You're allowing these 506 00:26:51,480 --> 00:26:55,160 Speaker 7: people to come into a no because typically retail malls 507 00:26:55,160 --> 00:26:59,760 Speaker 7: are in accessible areas, they have great accessibility in an 508 00:27:00,720 --> 00:27:01,680 Speaker 7: ample parking. 509 00:27:02,240 --> 00:27:03,920 Speaker 6: And then you're also providing. 510 00:27:03,520 --> 00:27:07,680 Speaker 7: Other benefits where if there's you know, shopping opportunities, food opportunities. 511 00:27:07,680 --> 00:27:11,080 Speaker 6: So we are seeing that occur. You know, interesting thing. 512 00:27:11,000 --> 00:27:12,840 Speaker 7: That you said, and we just published this which is 513 00:27:13,440 --> 00:27:19,080 Speaker 7: kind of this retail office interdependency and that relationship more 514 00:27:19,080 --> 00:27:22,639 Speaker 7: in the urban markets. You know, what we're now seeing 515 00:27:22,720 --> 00:27:25,920 Speaker 7: is this new trend, and that trend is with small businesses. 516 00:27:26,080 --> 00:27:28,240 Speaker 6: I'm really excited about that because. 517 00:27:28,000 --> 00:27:30,720 Speaker 7: You're starting to see small businesses pop up more and more, 518 00:27:31,080 --> 00:27:34,520 Speaker 7: and I think landlords are giving them an opportunity to 519 00:27:34,680 --> 00:27:37,840 Speaker 7: take a vacant in space and really activate that and 520 00:27:37,880 --> 00:27:38,560 Speaker 7: warm and up for. 521 00:27:38,800 --> 00:27:41,560 Speaker 2: That's that's interesting to hear. Yeah, that's interesting to hear, 522 00:27:41,640 --> 00:27:44,400 Speaker 2: especially because in terms of new jobs that are created, 523 00:27:44,800 --> 00:27:48,879 Speaker 2: small businesses account for a huge portion of those. Hey, Angie, 524 00:27:48,920 --> 00:27:50,960 Speaker 2: we got to leave it there. Angie Solanki is National 525 00:27:50,960 --> 00:27:53,679 Speaker 2: director of US Retail at the real estate firm Callier. 526 00:27:53,760 --> 00:28:01,560 Speaker 2: She joins US from San Francisco, A journal. 527 00:28:02,520 --> 00:28:03,560 Speaker 3: Now about you let me drive? 528 00:28:03,800 --> 00:28:05,320 Speaker 2: Oh no, no, no, no, who's. 529 00:28:06,880 --> 00:28:07,200 Speaker 8: Alright? 530 00:28:07,400 --> 00:28:09,280 Speaker 1: Please, I'll do the travels. 531 00:28:09,520 --> 00:28:14,240 Speaker 6: Excuse wait, I don't want to drive. It's a good question. 532 00:28:15,000 --> 00:28:21,280 Speaker 1: Try this is the drive to the clothes do commer pick. 533 00:28:21,400 --> 00:28:22,480 Speaker 6: We'll buy around each. 534 00:28:22,359 --> 00:28:24,440 Speaker 1: Other dawn on Bloomberg Radio. 535 00:28:24,800 --> 00:28:27,360 Speaker 2: We'll just amount eighteen minutes to go until the close 536 00:28:27,600 --> 00:28:29,600 Speaker 2: of creating here. We just heard an update from Charlie 537 00:28:29,640 --> 00:28:32,560 Speaker 2: Pellett and Bill Maloney that we're seeing some late day buying. 538 00:28:32,600 --> 00:28:34,400 Speaker 2: The S and P five hundred off its session highs, 539 00:28:34,440 --> 00:28:37,119 Speaker 2: but still up half a percentage point. The NASDAC up 540 00:28:37,240 --> 00:28:38,920 Speaker 2: more than one tenth of one percent. Will the Dow 541 00:28:39,080 --> 00:28:42,200 Speaker 2: up eight tenths of one percent. Let's get our drive 542 00:28:42,280 --> 00:28:45,080 Speaker 2: to the clothes with Megan Horneman, chief investment officer at 543 00:28:45,240 --> 00:28:49,040 Speaker 2: Verde's Capital Advisors. She joins us from Hunt Valley, Maryland. Megan, 544 00:28:49,120 --> 00:28:50,040 Speaker 2: good to see you. 545 00:28:50,120 --> 00:28:50,520 Speaker 1: How are you. 546 00:28:51,360 --> 00:28:52,080 Speaker 8: I'm great? How are you? 547 00:28:52,360 --> 00:28:54,640 Speaker 2: We're doing well. Thanks. Trying to make sense of the 548 00:28:54,800 --> 00:28:56,960 Speaker 2: kind of conflicting data that we got this week and 549 00:28:57,320 --> 00:29:00,400 Speaker 2: last week that shows that inflation came out a little 550 00:29:00,600 --> 00:29:03,440 Speaker 2: hotter than expected, retail sales coming in a little lighter 551 00:29:03,960 --> 00:29:07,080 Speaker 2: than expected, all on the heels of that jobs report 552 00:29:07,160 --> 00:29:09,840 Speaker 2: that came out last Friday that showed that hiring in 553 00:29:10,120 --> 00:29:12,560 Speaker 2: January was robust. What's on your mind. 554 00:29:14,360 --> 00:29:16,680 Speaker 8: Right now. I'm a little bit concerned about the inflation. 555 00:29:16,920 --> 00:29:19,440 Speaker 8: I'm not so much concerned about what's going on with 556 00:29:19,520 --> 00:29:22,680 Speaker 8: the retail sales. Again, it was a disappointing January. Don't 557 00:29:22,680 --> 00:29:25,680 Speaker 8: forget we had a pretty big jump in December, so 558 00:29:25,800 --> 00:29:28,160 Speaker 8: this could be some give back. There's some nuances with 559 00:29:28,280 --> 00:29:31,600 Speaker 8: the seasonality as well, But the inflation is the bigger concern. 560 00:29:31,880 --> 00:29:35,320 Speaker 8: And the reason that's concerning me is we've warned for 561 00:29:35,440 --> 00:29:38,240 Speaker 8: a long time that inflation can be a bumpy road down. 562 00:29:38,520 --> 00:29:41,320 Speaker 8: It's not a straight line down. The Feds made it 563 00:29:41,360 --> 00:29:44,239 Speaker 8: pretty clear that they're more concerned about inflation than they 564 00:29:44,280 --> 00:29:47,040 Speaker 8: are about the economy. So there's a lot of people, 565 00:29:47,120 --> 00:29:50,520 Speaker 8: and you know, expectations for these rate cuts this year, 566 00:29:50,880 --> 00:29:53,360 Speaker 8: and I'm afraid that might be a little optimistic given 567 00:29:53,440 --> 00:29:54,400 Speaker 8: that inflation data that. 568 00:29:54,440 --> 00:29:57,920 Speaker 2: We saw, even still optimistic, Yeah. 569 00:29:57,920 --> 00:29:59,920 Speaker 8: You're still looking instead of seven rate cuts. I mean, 570 00:30:00,000 --> 00:30:01,920 Speaker 8: I don't even know where that came from seven rate 571 00:30:02,000 --> 00:30:04,880 Speaker 8: cuts to now maybe down to four rate cuts. But 572 00:30:05,000 --> 00:30:07,520 Speaker 8: if we get some more of this volatility and inflation, 573 00:30:07,920 --> 00:30:10,360 Speaker 8: the Fed could remain on hold this entire year. 574 00:30:10,560 --> 00:30:12,680 Speaker 4: Well that's what I was thinking a lot about. What 575 00:30:12,760 --> 00:30:16,040 Speaker 4: if we get no rate cuts and indeed, what would 576 00:30:16,040 --> 00:30:18,120 Speaker 4: it take to see another rate hike? I mean, how 577 00:30:18,200 --> 00:30:21,600 Speaker 4: much risk is there a reacceleration of inflation at this rate. 578 00:30:23,280 --> 00:30:25,480 Speaker 8: I think there's a risk. I'm not ready to say 579 00:30:25,520 --> 00:30:27,720 Speaker 8: that there's a chance that they could have to hike 580 00:30:27,800 --> 00:30:31,440 Speaker 8: again this year, but there is a risk. We haven't 581 00:30:31,480 --> 00:30:33,240 Speaker 8: seen the full effects of what's going on in the 582 00:30:33,320 --> 00:30:37,200 Speaker 8: Red Sea. We know that shipping costs, these are all skyrocketing. 583 00:30:37,480 --> 00:30:40,440 Speaker 8: Will get some more information from the producer side. If 584 00:30:40,480 --> 00:30:43,080 Speaker 8: you look at the ISM Services index that we got 585 00:30:43,200 --> 00:30:46,160 Speaker 8: for January, that price is pay component jumped up to 586 00:30:46,280 --> 00:30:49,240 Speaker 8: sixty five. That was a pretty big jump there. So 587 00:30:49,400 --> 00:30:52,040 Speaker 8: these are things that are showing us that that's sticky inflation. 588 00:30:52,280 --> 00:30:56,000 Speaker 8: The FED has warned us about the service side housing wages. 589 00:30:56,400 --> 00:30:58,600 Speaker 8: This is still a problem and we may not be 590 00:30:58,640 --> 00:31:00,640 Speaker 8: able to save. Were completely out of the wood there, And. 591 00:31:00,720 --> 00:31:02,280 Speaker 4: How lagged is a lot of this data If you 592 00:31:02,360 --> 00:31:04,560 Speaker 4: think about, for example, one thing that struck me this 593 00:31:04,680 --> 00:31:07,640 Speaker 4: week was the mortgage rate climbing the most you've seen 594 00:31:07,720 --> 00:31:12,200 Speaker 4: in two months here, and interestingly that came before we 595 00:31:12,320 --> 00:31:15,920 Speaker 4: saw the interest rate jumps this week. Right, we saw 596 00:31:15,960 --> 00:31:18,479 Speaker 4: the yield rise meaningfully this week in the two year 597 00:31:18,520 --> 00:31:21,400 Speaker 4: and the ten year. So how much more pain is 598 00:31:21,520 --> 00:31:24,240 Speaker 4: there in terms of the impact of higher rates and 599 00:31:24,720 --> 00:31:27,200 Speaker 4: kind of how cyclical is this problem at this point? 600 00:31:28,840 --> 00:31:32,120 Speaker 8: Yeah, it takes a while for the full effects of 601 00:31:32,280 --> 00:31:34,560 Speaker 8: the FED rate hikes to be felt in the economy. 602 00:31:35,160 --> 00:31:38,720 Speaker 8: And what you're seeing is this kind of this dispersion 603 00:31:38,920 --> 00:31:42,920 Speaker 8: where the FED has done such an aggressive rate hiking cycle. 604 00:31:43,120 --> 00:31:45,920 Speaker 8: But if you look at things like financial conditions because 605 00:31:45,920 --> 00:31:48,960 Speaker 8: of the rise and equities because of low volatility, because 606 00:31:49,040 --> 00:31:52,640 Speaker 8: credit spreads are so tight, you're actually seeing financial conditions. 607 00:31:52,720 --> 00:31:55,480 Speaker 8: Some of these indices that are out there, financial conditions 608 00:31:55,520 --> 00:31:58,200 Speaker 8: are the easiest they've been since before the FED started 609 00:31:58,280 --> 00:32:01,880 Speaker 8: raising rates. That's a problem the FED has said. I 610 00:32:01,960 --> 00:32:04,360 Speaker 8: think the problem the Fed did is they got dubbish 611 00:32:04,400 --> 00:32:07,760 Speaker 8: in December and that sparked kind of a resurgence in 612 00:32:07,840 --> 00:32:11,880 Speaker 8: from economic data. And that's very easy to reignite inflation. 613 00:32:12,120 --> 00:32:14,200 Speaker 8: And then you put on top of that the fact 614 00:32:14,200 --> 00:32:16,160 Speaker 8: that we have these issues in the red Sea. This 615 00:32:16,760 --> 00:32:19,560 Speaker 8: is a concern for inflation. Don't ever take one month 616 00:32:19,680 --> 00:32:22,200 Speaker 8: of anything for a trend. Here, Well, we're going to 617 00:32:22,320 --> 00:32:25,120 Speaker 8: look at some of the underlying data, some leading indicators, 618 00:32:25,240 --> 00:32:27,760 Speaker 8: and we'll take it. We'll see if this continues month 619 00:32:27,800 --> 00:32:30,240 Speaker 8: after month to get a better idea. But it is 620 00:32:30,320 --> 00:32:32,720 Speaker 8: a risk that we could see inflation kind of stall 621 00:32:32,840 --> 00:32:34,600 Speaker 8: here with the progress we've made. 622 00:32:34,880 --> 00:32:38,640 Speaker 2: So what are you seeing in terms of your own 623 00:32:38,680 --> 00:32:43,280 Speaker 2: predictions for the year, Megan, Are you thinking that, Okay, 624 00:32:43,400 --> 00:32:46,520 Speaker 2: this is just a blip, this CPI figure, or are 625 00:32:47,200 --> 00:32:49,760 Speaker 2: is the Fed on track to actually successfully bring inflation 626 00:32:49,840 --> 00:32:50,960 Speaker 2: to its two percent target. 627 00:32:52,680 --> 00:32:54,840 Speaker 8: I think that they're on track to get it to 628 00:32:54,920 --> 00:32:58,920 Speaker 8: their two percent target, but not as quickly as most anticipate. 629 00:32:59,040 --> 00:33:01,080 Speaker 8: I think that it's going to be really difficult to 630 00:33:01,120 --> 00:33:03,840 Speaker 8: get to where we are now down to that two percent. 631 00:33:04,280 --> 00:33:06,280 Speaker 8: I don't I'm not as optimistic that we'll see that 632 00:33:06,400 --> 00:33:09,320 Speaker 8: this year. I think that maybe a twenty twenty five story. 633 00:33:09,880 --> 00:33:11,840 Speaker 8: One of our themes for this year was that the 634 00:33:11,880 --> 00:33:15,000 Speaker 8: Fed was walking a very fine line and that reinflation 635 00:33:15,240 --> 00:33:17,960 Speaker 8: was a risk. We saw that coming into the year 636 00:33:18,120 --> 00:33:21,080 Speaker 8: they were so dubbish. In December, equity markets took off, 637 00:33:21,920 --> 00:33:25,440 Speaker 8: you saw spending from consumers take off, you saw consumer 638 00:33:25,560 --> 00:33:28,800 Speaker 8: confidence pick up again. Those were things that concerned us 639 00:33:28,840 --> 00:33:32,360 Speaker 8: about reinflation being an issue, And then you have to 640 00:33:32,360 --> 00:33:34,480 Speaker 8: look at how the what are the markets pricing in 641 00:33:34,640 --> 00:33:37,080 Speaker 8: If the markets weren't sitting at record highs, then we 642 00:33:37,200 --> 00:33:38,960 Speaker 8: might say, hey, they're not you know, they're being a 643 00:33:39,000 --> 00:33:41,040 Speaker 8: little bit more realistic of where we are and what 644 00:33:41,160 --> 00:33:43,760 Speaker 8: the Fed Kenny can't do. But the market just continues 645 00:33:43,800 --> 00:33:47,600 Speaker 8: to notch these record highs this year, and it's disregarding 646 00:33:47,640 --> 00:33:49,480 Speaker 8: a lot of these signs in the economy. 647 00:33:50,000 --> 00:33:53,040 Speaker 4: So what do you think investors are ignoring now as 648 00:33:53,080 --> 00:33:54,760 Speaker 4: the engage in markets. You look at a lot of 649 00:33:54,840 --> 00:33:58,440 Speaker 4: these industries near all time highs and a lot of 650 00:33:58,560 --> 00:34:02,720 Speaker 4: exuberance in certain parts the market. After everything you've said 651 00:34:02,880 --> 00:34:05,680 Speaker 4: about kind of the miscalculation and the market about rate 652 00:34:05,760 --> 00:34:10,400 Speaker 4: cuts and some concerning economic data that we're seeing, how 653 00:34:10,440 --> 00:34:12,520 Speaker 4: should investors be thinking about positioning. 654 00:34:14,520 --> 00:34:18,120 Speaker 8: So what we're doing is, first thing is holds extra cash. 655 00:34:18,880 --> 00:34:21,040 Speaker 8: We are, as I mentioned, the Fed may be on 656 00:34:21,640 --> 00:34:24,360 Speaker 8: hold for longer than most are pricing in the market. 657 00:34:24,640 --> 00:34:27,200 Speaker 8: So holding extra cash isn't at the end of the world. 658 00:34:27,280 --> 00:34:29,839 Speaker 8: At this point, you're getting five percent on your cash level. 659 00:34:29,960 --> 00:34:33,200 Speaker 8: So holding extra cash and being able to take chances 660 00:34:33,239 --> 00:34:35,600 Speaker 8: when there's when the volatility in the market arises, which 661 00:34:35,640 --> 00:34:38,600 Speaker 8: we expect. The other thing is we just did this 662 00:34:38,800 --> 00:34:42,120 Speaker 8: in the beginning of the year. Look at your portfolios, 663 00:34:42,320 --> 00:34:44,920 Speaker 8: look at where you should be your asset allocation is 664 00:34:45,120 --> 00:34:48,200 Speaker 8: has it deviated? It definitely has deviated in some of 665 00:34:48,239 --> 00:34:51,799 Speaker 8: those areas like growth when you're looking at your portfolios, 666 00:34:51,880 --> 00:34:55,800 Speaker 8: so rebalance, rebalance where is necessary. That's something that is 667 00:34:55,840 --> 00:35:00,000 Speaker 8: important to do. We're being patient, We're waiting for opportunity 668 00:35:00,200 --> 00:35:02,719 Speaker 8: in the market. There will be opportunities. I just think 669 00:35:02,840 --> 00:35:05,240 Speaker 8: right now the market is looking a little bit frothy, 670 00:35:05,400 --> 00:35:09,280 Speaker 8: a little bit too optimistic and pricing in this perfect landing, 671 00:35:09,400 --> 00:35:12,440 Speaker 8: perfect inflation story for twenty twenty four. 672 00:35:12,640 --> 00:35:14,960 Speaker 2: Hey, just forty seconds left. What kind of opportunities are 673 00:35:15,000 --> 00:35:16,880 Speaker 2: you talking about here? Are you talking about opportunities of 674 00:35:16,920 --> 00:35:18,839 Speaker 2: like a one and a half percent pullback or something 675 00:35:18,880 --> 00:35:19,680 Speaker 2: more significant? 676 00:35:20,560 --> 00:35:23,279 Speaker 8: Something more significant on the large cap space for sure, 677 00:35:23,920 --> 00:35:26,239 Speaker 8: But there is opportunities, we think in the small and 678 00:35:26,360 --> 00:35:29,480 Speaker 8: MidCap space because they're pricing in. I think of a 679 00:35:29,520 --> 00:35:31,760 Speaker 8: lot of the downside risks. So if you can withstand 680 00:35:31,840 --> 00:35:35,360 Speaker 8: the volatility that can arise as the economy continues to weaken, 681 00:35:35,680 --> 00:35:37,840 Speaker 8: I think that over the long run, you'll be rewarded 682 00:35:38,280 --> 00:35:39,680 Speaker 8: in that small and MidCap space. 683 00:35:40,040 --> 00:35:42,160 Speaker 2: Hey, Megan, love it when you join us. Really do 684 00:35:42,280 --> 00:35:45,000 Speaker 2: appreciate you taking the time this afternoon. That's Megan Horneman, 685 00:35:45,080 --> 00:35:49,000 Speaker 2: chief investment Officer at Verdant's Capital Advisors, joining us from 686 00:35:49,080 --> 00:35:50,320 Speaker 2: Hunt Valley, Maryland. 687 00:35:50,880 --> 00:35:54,120 Speaker 1: This is the Bloomberg Business Week podcast of a Little 688 00:35:54,160 --> 00:35:57,640 Speaker 1: on Apple, Spotify, and anywhere else you get your podcast. 689 00:35:58,200 --> 00:36:01,399 Speaker 1: Listen live weekday afternoon from two to five pm Easter 690 00:36:01,680 --> 00:36:05,040 Speaker 1: on Bloomberg dot com, the iHeartRadio app, tune In, and 691 00:36:05,160 --> 00:36:07,839 Speaker 1: the Bloomberg Business App. You can also watch us live 692 00:36:07,960 --> 00:36:11,600 Speaker 1: every weekday on YouTube and always on the Bloomberg terminal