1 00:00:02,450 --> 00:00:05,270 Speaker 1: Bloomberg Audio Studios. Podcasts. 2 00:00:05,590 --> 00:00:06,750 Speaker 2: Radio. News. 3 00:00:07,130 --> 00:00:08,010 Speaker 3: Bloomberg Money. 4 00:00:12,789 --> 00:00:15,970 Speaker 2: This is the Bloomberg Money Podcast. I'm Tom Keen with 5 00:00:16,020 --> 00:00:19,000 Speaker 2: Scarlett Fu. Join us each week for a smart look 6 00:00:19,400 --> 00:00:23,120 Speaker 2: at the forces shaping your financial life on personal finance, 7 00:00:23,480 --> 00:00:27,600 Speaker 2: on retirement, and wealth management. We will explore how people 8 00:00:27,640 --> 00:00:32,100 Speaker 2: are earning, investing, and building wealth. We are live Fridays 9 00:00:32,180 --> 00:00:36,170 Speaker 2: at noon Eastern on Bloomberg Television. Subscribe to the podcast 10 00:00:36,190 --> 00:00:39,600 Speaker 2: wherever you listen, and as always on the Bloomberg Terminal 11 00:00:40,120 --> 00:00:41,600 Speaker 2: and the Bloomberg Business app. 12 00:00:54,730 --> 00:00:57,610 Speaker 3: Good afternoon, everyone. Bloomberg Money. It's on personal finance. It's 13 00:00:57,630 --> 00:01:00,130 Speaker 3: on retirement. Wealth management. 14 00:01:00,150 --> 00:01:02,170 Speaker 2: We're going to talk about that today after those bank 15 00:01:02,190 --> 00:01:03,350 Speaker 2: earnings this week. 16 00:01:03,370 --> 00:01:05,720 Speaker 3: Tom Keynes, Scarlett Fu. Good afternoon. 17 00:01:05,750 --> 00:01:07,720 Speaker 2: I mean, my head is swirling here and I just 18 00:01:07,780 --> 00:01:12,020 Speaker 2: as a grounding center gloom, fear that Apple is still, 19 00:01:12,080 --> 00:01:14,580 Speaker 2: as we go to air here, a $ 5 trillion company. 20 00:01:14,900 --> 00:01:16,640 Speaker 1: Well, thanks to the foldable phone. If you want to 21 00:01:16,740 --> 00:01:17,039 Speaker 1: order that. 22 00:01:17,120 --> 00:01:17,529 Speaker 2: Are you getting one? 23 00:01:17,560 --> 00:01:19,220 Speaker 1: No, I'm not. I'm going to wait. I'm not a 24 00:01:19,240 --> 00:01:19,610 Speaker 1: first adopter. 25 00:01:19,670 --> 00:01:20,390 Speaker 3: We stop right now. 26 00:01:20,450 --> 00:01:22,470 Speaker 2: We halt the show because the first person I know 27 00:01:22,510 --> 00:01:25,270 Speaker 2: that will get the foldable iPhone is Sri Natarajan. 28 00:01:25,330 --> 00:01:27,530 Speaker 3: Come on, Sri. Are you going to get the foldable iPhone? 29 00:01:27,640 --> 00:01:29,760 Speaker 4: If it was a flip phone, yes. Not the foldable. 30 00:01:29,800 --> 00:01:31,780 Speaker 3: There we go. Okay. Well, there we're done. 31 00:01:31,800 --> 00:01:34,620 Speaker 2: Sri will join us here on Wealth Management here in 32 00:01:34,660 --> 00:01:35,000 Speaker 2: a moment. 33 00:01:35,040 --> 00:01:35,860 Speaker 3: It's a wonderful show. 34 00:01:35,900 --> 00:01:37,800 Speaker 2: Scarlett's going to tell you the important part of the 35 00:01:37,840 --> 00:01:41,180 Speaker 2: show on real estate. Thomas Porcelli will join us. He's 36 00:01:41,220 --> 00:01:44,290 Speaker 2: chief economist at Wells Fargo. He is the number one 37 00:01:44,330 --> 00:01:48,670 Speaker 2: guy I know on wage growth or lack thereof. Tom 38 00:01:48,690 --> 00:01:51,910 Speaker 2: Porcelli will tell us about the state of the American worker. 39 00:01:52,050 --> 00:01:54,670 Speaker 1: And in the age of 7.5% mortgages, we take aim 40 00:01:54,710 --> 00:01:57,330 Speaker 1: at the challenges of home purchases. With a one-two punch, 41 00:01:57,350 --> 00:01:59,970 Speaker 1: we've got Jonathan Miller, who co-founded his own appraisal and 42 00:01:59,990 --> 00:02:03,670 Speaker 1: valuation firm, and Bess Friedman, CEO of Brown Harris Stevens. 43 00:02:03,970 --> 00:02:05,330 Speaker 3: Do you think they're on speaking terms? 44 00:02:05,910 --> 00:02:06,330 Speaker 1: I hope so. 45 00:02:06,370 --> 00:02:06,890 Speaker 2: I hope so. 46 00:02:07,050 --> 00:02:07,690 Speaker 3: We'll have to see. 47 00:02:07,950 --> 00:02:11,589 Speaker 2: A wonderful Bloomberg set of conversations after a busy week. 48 00:02:11,610 --> 00:02:14,070 Speaker 2: Sreenad Rajan, wonderful to have him for the first time 49 00:02:14,430 --> 00:02:16,990 Speaker 2: on the show. Yes, the banks, the big banks, but 50 00:02:17,010 --> 00:02:21,120 Speaker 2: we're going to talk wealth management today. Stacey Vanek-Smith will 51 00:02:21,130 --> 00:02:23,530 Speaker 2: join us. She's done the math on your next Social 52 00:02:23,570 --> 00:02:27,280 Speaker 2: Security check, or will you get one out there? I 53 00:02:27,320 --> 00:02:29,959 Speaker 2: guess Jack Lew says like 2032. Well, for people. 54 00:02:30,000 --> 00:02:31,940 Speaker 1: Yeah, who are going to get Social Security after 2032, 55 00:02:31,919 --> 00:02:34,320 Speaker 1: that's the big question. But if you get it now, 56 00:02:34,340 --> 00:02:34,679 Speaker 1: you're good. 57 00:02:34,760 --> 00:02:37,360 Speaker 2: I want to give you a vignette into how Bloomberg works. 58 00:02:37,460 --> 00:02:40,660 Speaker 2: We're going to air. The control room is all steeled up. 59 00:02:41,000 --> 00:02:44,960 Speaker 2: And we're talking flag football between the Chargers and the Eagles. 60 00:02:44,980 --> 00:02:45,240 Speaker 3: That's right. 61 00:02:46,100 --> 00:02:48,840 Speaker 5: Prospect Park this weekend. It's been rained out weekend after weekend. 62 00:02:48,860 --> 00:02:50,119 Speaker 3: Do you have orange slices? 63 00:02:50,500 --> 00:02:51,210 Speaker 5: There'll be orange slices. 64 00:02:51,230 --> 00:02:53,690 Speaker 3: There'll be orange slices. Gatorade, cooler of Gatorade. We'll be ready. 65 00:02:53,710 --> 00:02:55,110 Speaker 3: Let's jump into it right now, Sri. 66 00:02:55,190 --> 00:02:57,209 Speaker 2: I want to focus on what Bloomberg Money does, which 67 00:02:57,270 --> 00:03:00,540 Speaker 2: is wealth management. It's usually underplayed when the earnings come out. 68 00:03:00,960 --> 00:03:02,520 Speaker 2: It's a boom economy, isn't it? 69 00:03:03,360 --> 00:03:05,560 Speaker 6: Yes, but right now you've got me feeling nostalgic about 70 00:03:05,600 --> 00:03:07,799 Speaker 6: my old Motorola flip phone, Tom, I have to say. 71 00:03:08,320 --> 00:03:11,160 Speaker 2: John Tucker's still using that one. That's a different story. 72 00:03:11,200 --> 00:03:13,790 Speaker 2: Tell me about wealth management. Tell me about Morgan Stanley 73 00:03:13,910 --> 00:03:14,489 Speaker 2: leading the way. 74 00:03:15,070 --> 00:03:17,870 Speaker 6: That's the big story for me through this quarter. You know, 75 00:03:17,910 --> 00:03:19,410 Speaker 6: you look at the numbers. If you go back to 76 00:03:19,430 --> 00:03:22,010 Speaker 6: the summer, you talk about the SpaceX IPO back in June. 77 00:03:22,250 --> 00:03:25,030 Speaker 6: And we talked about the $ 500 million in fees for 78 00:03:25,060 --> 00:03:26,760 Speaker 6: the banks that were leading that IPO offering. 79 00:03:27,120 --> 00:03:28,440 Speaker 4: But that was just the start. 80 00:03:28,980 --> 00:03:34,400 Speaker 6: This quarter, Morgan Stanley reported $ 232 billion in net new assets. 81 00:03:34,780 --> 00:03:38,690 Speaker 6: What was the analyst's estimate? $ 111 billion. More than double 82 00:03:38,750 --> 00:03:41,710 Speaker 6: what analysts had been expecting. And that was largely driven 83 00:03:41,810 --> 00:03:45,270 Speaker 6: from flows coming from these IPOs. As people were getting 84 00:03:45,290 --> 00:03:47,770 Speaker 6: this public stock, that got deposited into current. That's a 85 00:03:47,790 --> 00:03:49,290 Speaker 6: big deal for a firm like Morgan Stanley. 86 00:03:49,330 --> 00:03:52,720 Speaker 2: Is wealth management in the future out five years, out 87 00:03:52,720 --> 00:03:55,380 Speaker 2: 10 years? Is it like the money machine? Is it 88 00:03:55,400 --> 00:03:58,520 Speaker 2: a profit machine? Or is it narrow margins like, say, 89 00:03:58,640 --> 00:03:59,500 Speaker 2: ETF fees? 90 00:03:59,820 --> 00:04:01,810 Speaker 4: At Morgan Stanley, the pre-tax margin is 30%. 91 00:04:01,810 --> 00:04:02,070 Speaker 6: 3-0. 92 00:04:02,090 --> 00:04:02,150 Speaker 1: 3-0. 93 00:04:02,170 --> 00:04:04,270 Speaker 4: On wealth management. 94 00:04:04,330 --> 00:04:05,210 Speaker 3: On wealth management. 95 00:04:05,250 --> 00:04:06,850 Speaker 4: We're in the wrong business. 96 00:04:06,870 --> 00:04:08,720 Speaker 1: And it's steady revenue, too. That's the other thing. 97 00:04:08,920 --> 00:04:10,760 Speaker 4: Steady Revenue, you don't have to think about the future. 98 00:04:10,940 --> 00:04:12,480 Speaker 4: It is, we're already there. 99 00:04:12,700 --> 00:04:15,220 Speaker 6: If you think about the transformation of Morgan Stanley, what 100 00:04:15,260 --> 00:04:16,980 Speaker 6: has happened to that bank since the depths of the 101 00:04:17,000 --> 00:04:20,700 Speaker 6: financial crisis in 2008, how James Gorman transformed it and 102 00:04:20,760 --> 00:04:24,089 Speaker 6: how TETPIC is carrying it forward, wealth management is certainly 103 00:04:24,110 --> 00:04:27,270 Speaker 6: a big piece of that bank. And it's an integrated 104 00:04:27,330 --> 00:04:29,750 Speaker 6: operation that works very closely with the success of its 105 00:04:29,790 --> 00:04:30,289 Speaker 6: investment bank. 106 00:04:30,529 --> 00:04:30,710 Speaker 2: All right. 107 00:04:30,730 --> 00:04:33,010 Speaker 1: So that's one side of the economy and what people 108 00:04:33,050 --> 00:04:36,490 Speaker 1: are seeing. This week, we also got indication that inflation 109 00:04:36,570 --> 00:04:40,510 Speaker 1: continues to run pretty hot, meaning it's rising faster than expected, Stacey. 110 00:04:40,600 --> 00:04:42,640 Speaker 1: And I know you've been looking at different angles of this. 111 00:04:43,180 --> 00:04:43,360 Speaker 7: Yes. 112 00:04:43,420 --> 00:04:47,200 Speaker 8: So obviously, we've got inflation numbers, inflation up 3.7 percent 113 00:04:47,260 --> 00:04:50,500 Speaker 8: across the economy. But in a lot of places, much higher. 114 00:04:50,600 --> 00:04:54,260 Speaker 8: Gas prices up 34 percent over last year. Now, Social 115 00:04:54,279 --> 00:04:58,300 Speaker 8: Security payments did get a bump. So starting on December 31st, 116 00:04:58,680 --> 00:05:02,140 Speaker 8: payments will be up by about 3.6 percent. So almost 117 00:05:02,180 --> 00:05:03,400 Speaker 8: keeping up with inflation, but. 118 00:05:03,290 --> 00:05:04,000 Speaker 1: Just not quite. 119 00:05:04,020 --> 00:05:08,010 Speaker 8: That'll be an average of $ 75 per month. So people 120 00:05:08,290 --> 00:05:10,010 Speaker 8: are going to be getting a little extra money if 121 00:05:10,029 --> 00:05:12,729 Speaker 8: they're on Social Security, but not keeping up with the expenses. 122 00:05:13,330 --> 00:05:16,890 Speaker 2: He brilliantly shows the two Americas. He's talking fancy people 123 00:05:16,950 --> 00:05:20,280 Speaker 2: buying 6,000 square feet on Fifth Avenue. We'll do that 124 00:05:20,300 --> 00:05:22,719 Speaker 2: in the back half of the show. And Stacey's talking 125 00:05:22,760 --> 00:05:26,000 Speaker 2: about people waiting for the check because that's all they got. 126 00:05:26,240 --> 00:05:29,870 Speaker 1: And the Beige Book, which is the Fed's regional assessment 127 00:05:29,890 --> 00:05:34,070 Speaker 1: of how things are going, indicates that businesses report consumers 128 00:05:34,150 --> 00:05:35,050 Speaker 1: also holding back, too. 129 00:05:35,510 --> 00:05:37,550 Speaker 8: Yeah, that was really interesting. I like the Beige Book. 130 00:05:37,610 --> 00:05:39,810 Speaker 8: It's a lot of stories from different business owners. 131 00:05:39,860 --> 00:05:40,440 Speaker 1: We like stories. 132 00:05:40,940 --> 00:05:42,640 Speaker 4: It's a great, I love the Beige Book. 133 00:05:43,140 --> 00:05:45,300 Speaker 8: But there were just a lot of shop owners reporting 134 00:05:45,320 --> 00:05:47,360 Speaker 8: that people, they had the same number of customers, but 135 00:05:47,380 --> 00:05:49,660 Speaker 8: people were buying less. They were cutting back. They were 136 00:05:49,700 --> 00:05:52,909 Speaker 8: flinching at prices. And so far, the American consumers held 137 00:05:52,970 --> 00:05:55,690 Speaker 8: out so admirably. But if that starts to crack, that 138 00:05:55,730 --> 00:05:56,550 Speaker 8: could really be trouble. 139 00:05:57,650 --> 00:05:59,730 Speaker 1: And of course, that all plays into how people feel 140 00:06:00,070 --> 00:06:03,130 Speaker 1: as we head closer to the midterm elections, David. There's 141 00:06:03,170 --> 00:06:05,190 Speaker 1: a lot of, I don't want to call it interference, 142 00:06:05,210 --> 00:06:07,520 Speaker 1: but it feels like it's a normal thing now, of 143 00:06:07,620 --> 00:06:10,420 Speaker 1: Russia using bots to push these fake election videos to 144 00:06:10,440 --> 00:06:11,600 Speaker 1: get people all angry. 145 00:06:12,000 --> 00:06:12,240 Speaker 2: I know. 146 00:06:12,460 --> 00:06:13,419 Speaker 3: Well, it was expected. 147 00:06:13,440 --> 00:06:15,940 Speaker 5: Stephanie Baker, our colleague in London, has done amazing reporting 148 00:06:15,980 --> 00:06:18,039 Speaker 5: here looking at what is being pushed out by these 149 00:06:18,100 --> 00:06:20,400 Speaker 5: Russian bot farms. And what we're seeing this time around 150 00:06:20,460 --> 00:06:22,740 Speaker 5: are videos that look like they're legitimate from an American 151 00:06:22,940 --> 00:06:24,640 Speaker 5: news agency, but using AI. 152 00:06:25,720 --> 00:06:28,120 Speaker 3: Are saying really outlandish and off-the-wall things. 153 00:06:28,190 --> 00:06:29,750 Speaker 5: And on top of that, we're seeing these bot firms 154 00:06:29,790 --> 00:06:31,589 Speaker 5: kind of pushing them out so that it seems like 155 00:06:31,610 --> 00:06:33,969 Speaker 5: they're getting a lot of views as well. Look, we've 156 00:06:33,990 --> 00:06:36,830 Speaker 5: heard many members of the intelligence community in this administration 157 00:06:37,029 --> 00:06:39,070 Speaker 5: and from before warning that this might happen. And I 158 00:06:39,130 --> 00:06:41,310 Speaker 5: think as we get to two weeks out from these midterms, 159 00:06:41,710 --> 00:06:43,810 Speaker 5: the fear is what influence, what is this going to 160 00:06:43,830 --> 00:06:44,250 Speaker 5: do to the election? 161 00:06:44,270 --> 00:06:46,360 Speaker 3: Where do we see those bots? Where do I see those? 162 00:06:46,760 --> 00:06:48,880 Speaker 5: On Instagram, on TikTok, I mean, they're cropping up in 163 00:06:48,900 --> 00:06:51,160 Speaker 5: the same places, Twitter as well, and so you have, 164 00:06:51,339 --> 00:06:53,520 Speaker 5: there's a lot of happy talk from Twitter's current leadership, 165 00:06:53,560 --> 00:06:55,730 Speaker 5: they're trying to cull it, but it's a very difficult 166 00:06:55,750 --> 00:06:56,170 Speaker 5: thing to fight. 167 00:06:56,230 --> 00:06:58,050 Speaker 2: Do the Democrats have an Elon Musk? 168 00:06:58,960 --> 00:07:00,440 Speaker 5: No, not in the same way, but you look at 169 00:07:00,480 --> 00:07:02,260 Speaker 5: the money that we've seen Elon Musk spending here, it 170 00:07:02,500 --> 00:07:05,659 Speaker 5: dwarfs what George Soros, for instance, other big Democratic donors 171 00:07:05,700 --> 00:07:08,480 Speaker 5: have spent. So we're seeing it go in one direction. 172 00:07:08,520 --> 00:07:09,860 Speaker 5: That is more and more money in each of these 173 00:07:09,900 --> 00:07:13,960 Speaker 5: election cycles. Elon Musk far and away the biggest donor here. Yes, 174 00:07:14,000 --> 00:07:15,680 Speaker 5: there are Democratic donors who spend a lot of money, 175 00:07:15,760 --> 00:07:18,990 Speaker 5: but they are outmatched, broadly speaking. when you compare Democrats 176 00:07:19,020 --> 00:07:21,250 Speaker 5: to Republicans, Democrats are still very much lagging Republicans. 177 00:07:21,270 --> 00:07:24,030 Speaker 1: The bots spread all kinds of speculation and rumors about 178 00:07:24,070 --> 00:07:26,930 Speaker 1: where James Tallarico had been prior to showing up. 179 00:07:26,970 --> 00:07:31,290 Speaker 5: Yes, he made five payments to OnlyFans that he had been... Anyway, 180 00:07:31,690 --> 00:07:33,890 Speaker 5: all of this stuff is, to somebody who follows the 181 00:07:33,930 --> 00:07:37,070 Speaker 5: news closely, patently false. But again, this kind of veneer, 182 00:07:37,090 --> 00:07:39,370 Speaker 5: this patina of legitimacy makes it seem like, indeed, maybe 183 00:07:39,390 --> 00:07:40,590 Speaker 5: this is a report from ABC News. 184 00:07:40,810 --> 00:07:43,750 Speaker 2: What's your biggest mystery to Election Day right now? Is 185 00:07:43,830 --> 00:07:45,550 Speaker 2: it Senate, House, governors? 186 00:07:45,630 --> 00:07:47,600 Speaker 3: Is it In the game that you live, what's the 187 00:07:47,620 --> 00:07:48,140 Speaker 3: biggest mystery? 188 00:07:48,160 --> 00:07:50,500 Speaker 5: I think it's the Senate, because you detect the enthusiasm 189 00:07:50,540 --> 00:07:52,740 Speaker 5: among many Democrats that there is a possibility that it 190 00:07:52,800 --> 00:07:55,780 Speaker 5: could change in terms of leadership. Obviously, that's going to 191 00:07:55,800 --> 00:07:57,700 Speaker 5: be a harder hill for Democrats to climb here, but 192 00:07:57,860 --> 00:08:00,310 Speaker 5: that's the mystery. The House seems like a foregone conclusion 193 00:08:00,320 --> 00:08:03,070 Speaker 5: because of how few seats Democrats need to win. It 194 00:08:03,090 --> 00:08:05,230 Speaker 5: would be a sea change were they to get control 195 00:08:05,250 --> 00:08:05,750 Speaker 5: of the Senate as well. 196 00:08:05,770 --> 00:08:07,670 Speaker 2: A sea change here coming out of COVID, and this 197 00:08:07,710 --> 00:08:11,550 Speaker 2: is to the leadership of Sreenath Rajan. with Bloomberg News, 198 00:08:11,750 --> 00:08:16,080 Speaker 2: the profitability of the banks as a whole, do we 199 00:08:16,180 --> 00:08:17,340 Speaker 2: understand just how. 200 00:08:17,380 --> 00:08:17,920 Speaker 3: Big they are? 201 00:08:18,340 --> 00:08:20,340 Speaker 6: I'm not quite sure we do because I just ran 202 00:08:20,360 --> 00:08:22,680 Speaker 6: the numbers in the last 10 years. 10 years ago, 203 00:08:22,720 --> 00:08:26,330 Speaker 6: the big six US banks combined profitability was $ 86 billion. 204 00:08:28,130 --> 00:08:30,070 Speaker 4: At the end of 2026, we're going to. 205 00:08:30,070 --> 00:08:34,050 Speaker 6: Get within kissing distance of $ 200 billion. That has been 206 00:08:34,330 --> 00:08:36,780 Speaker 6: massive growth. They have been able to expand their margins. 207 00:08:36,820 --> 00:08:38,760 Speaker 6: Revenue growth has been there. And at the end of 208 00:08:38,780 --> 00:08:41,239 Speaker 6: the day, the banks are not really the drivers of 209 00:08:41,340 --> 00:08:44,040 Speaker 6: anything on their own. They are a proxy for consumer health. 210 00:08:44,140 --> 00:08:46,990 Speaker 6: They're a proxy for corporate health. And they're a proxy 211 00:08:47,010 --> 00:08:50,410 Speaker 6: for market activity. And all those three fronts have been 212 00:08:50,470 --> 00:08:51,370 Speaker 6: going great for the banks. 213 00:08:51,390 --> 00:08:54,170 Speaker 2: In the grind that you do, where will we be 214 00:08:54,220 --> 00:08:58,760 Speaker 2: in five years between the traditional asset gatherers, Schwab, Fidelity, 215 00:08:58,800 --> 00:09:01,830 Speaker 2: and Vanguard, the rest of them, and those big banks? 216 00:09:02,550 --> 00:09:05,650 Speaker 2: Where do you see that mix in five years? 217 00:09:06,470 --> 00:09:08,370 Speaker 6: Have to wonder and you have to assume that there's 218 00:09:08,410 --> 00:09:10,510 Speaker 6: going to be a shift because as we were coming 219 00:09:10,690 --> 00:09:14,359 Speaker 6: out of 2020, that was the grand period of envy 220 00:09:14,390 --> 00:09:16,959 Speaker 6: when you talked to bankers and you talked about what 221 00:09:16,980 --> 00:09:18,860 Speaker 6: they were looking at and they were looking at that 222 00:09:18,940 --> 00:09:22,240 Speaker 6: golden era for private market firms, the private investment giants. 223 00:09:22,640 --> 00:09:24,560 Speaker 4: Now we've moved back to the Wall Street circle. 224 00:09:24,660 --> 00:09:26,520 Speaker 2: We've got to stop the show here. I feel like 225 00:09:26,559 --> 00:09:29,280 Speaker 2: I'm dealing with Francine Lacroix. Guri shows up with an 226 00:09:29,380 --> 00:09:31,800 Speaker 2: espresso at 12 noon. 227 00:09:31,840 --> 00:09:35,620 Speaker 3: Give us a close-up. It's just too much. It's very London. 228 00:09:36,620 --> 00:09:36,960 Speaker 9: I don't know. 229 00:09:36,980 --> 00:09:38,000 Speaker 5: I've had a latte already. 230 00:09:38,020 --> 00:09:40,380 Speaker 4: I have too much milk. You've been up early. 231 00:09:40,440 --> 00:09:41,179 Speaker 3: I've been up early. 232 00:09:41,200 --> 00:09:42,359 Speaker 5: I've got to be ready for this show. 233 00:09:42,520 --> 00:09:44,500 Speaker 3: I'm on my third Sanka. 234 00:09:45,900 --> 00:09:48,120 Speaker 1: I just got amped up by watching the Tesla Roadster 235 00:09:48,210 --> 00:09:49,290 Speaker 1: do aerial flips. 236 00:09:49,309 --> 00:09:49,970 Speaker 4: That was my thing. 237 00:09:50,050 --> 00:09:51,130 Speaker 3: When cars fly. 238 00:09:51,230 --> 00:09:53,750 Speaker 6: What are you going to do with a car that 239 00:09:53,790 --> 00:09:54,390 Speaker 6: does a backflip? 240 00:09:54,770 --> 00:09:56,800 Speaker 1: Well, don't worry. We're not going to have access to it. 241 00:09:56,809 --> 00:09:58,590 Speaker 1: It's only in that very contained environment. You can drive 242 00:09:58,670 --> 00:09:59,950 Speaker 1: behind a car that does a backflip. 243 00:10:00,500 --> 00:10:00,959 Speaker 2: There you go. 244 00:10:00,980 --> 00:10:04,080 Speaker 1: All right. Thank you to everyone joining us today. We 245 00:10:04,120 --> 00:10:06,640 Speaker 1: want to thank our chief Wall Street correspondent, Srinath Rajan, 246 00:10:06,700 --> 00:10:09,700 Speaker 1: Stacey Vanek-Smith, host of the Everybody's Business podcast, and, of course, 247 00:10:09,760 --> 00:10:13,900 Speaker 1: David Gurra, co-host of Bloomberg This Weekend. Coming up on 248 00:10:13,920 --> 00:10:17,240 Speaker 1: Bloomberg Money, Tom Porcelli, chief economist at Wells Fargo. We're 249 00:10:17,260 --> 00:10:21,429 Speaker 1: going to talk wages and how consumers are navigating rising prices. 250 00:10:21,530 --> 00:10:22,490 Speaker 1: This is Bloomberg Money. 251 00:10:25,050 --> 00:10:28,110 Speaker 2: You're listening to Bloomberg Money. Stay with us with more 252 00:10:28,130 --> 00:10:38,699 Speaker 2: to come after this. Bloomberg Money, good afternoon to you 253 00:10:38,800 --> 00:10:41,950 Speaker 2: on Wealth Manager Retirement and on the wages to come. 254 00:10:41,970 --> 00:10:44,490 Speaker 2: We're going to dive into it here in a moment. 255 00:10:44,570 --> 00:10:47,630 Speaker 2: What was your observation this week among the different shows 256 00:10:47,650 --> 00:10:49,689 Speaker 2: you do, the ETF show and such? 257 00:10:49,710 --> 00:10:51,080 Speaker 3: I mean, it's a nuts week. 258 00:10:51,340 --> 00:10:53,800 Speaker 1: It was a nuts week. The chip sell-off has gathered 259 00:10:53,860 --> 00:10:57,580 Speaker 1: steam and it's a tough week for anyone who's long tech, 260 00:10:57,620 --> 00:10:58,579 Speaker 1: which is basically. 261 00:10:58,260 --> 00:10:58,459 Speaker 2: All of us. 262 00:10:58,520 --> 00:10:59,280 Speaker 3: I was thunderstruck. 263 00:10:59,360 --> 00:11:03,130 Speaker 2: CoreWeave is 550 employees. The way we're talking about it, 264 00:11:03,140 --> 00:11:04,370 Speaker 2: I would have thought it was 20,000 employees. 265 00:11:04,429 --> 00:11:06,990 Speaker 1: And one analyst says the stock could go to zero. 266 00:11:07,470 --> 00:11:09,390 Speaker 2: Well, we'll have to see on that. The raging debate 267 00:11:09,429 --> 00:11:12,930 Speaker 2: out there. Ed Ludlow with leadership at Bloomberg Technology. 268 00:11:13,010 --> 00:11:13,750 Speaker 3: This is a joy. 269 00:11:13,809 --> 00:11:17,750 Speaker 2: There's a moment where economists become famous. And for Tom 270 00:11:17,790 --> 00:11:22,480 Speaker 2: Purcell years ago, it was sterling analysis of your paycheck. 271 00:11:23,059 --> 00:11:27,340 Speaker 2: and it adjusted for inflation. He's chief economist at Wells Fargo. 272 00:11:27,600 --> 00:11:29,320 Speaker 2: How bad is the real wage right now? I'm going 273 00:11:29,340 --> 00:11:30,719 Speaker 2: to put the chart up in a minute, but just 274 00:11:30,760 --> 00:11:34,179 Speaker 2: give us the update. Are we making any money here 275 00:11:34,260 --> 00:11:36,780 Speaker 2: after inflation? Well, first of all, thank you for that 276 00:11:36,830 --> 00:11:37,620 Speaker 2: lovely introduction. 277 00:11:37,710 --> 00:11:40,030 Speaker 10: Very appreciated. And I love the format of the show. 278 00:11:40,190 --> 00:11:42,750 Speaker 10: I think it's fantastic. So good luck with it. I 279 00:11:42,809 --> 00:11:43,690 Speaker 10: think it looks like you. 280 00:11:43,650 --> 00:11:45,569 Speaker 3: Got- It's okay. We're not on speaking terms, but move on. 281 00:11:48,370 --> 00:11:50,929 Speaker 10: Yeah, look, I think that the consumer right now, from 282 00:11:50,970 --> 00:11:54,180 Speaker 10: a real wage perspective, it's obviously looking pretty rough for 283 00:11:54,200 --> 00:11:57,699 Speaker 10: them at this juncture. And so whether you look at ECI, 284 00:11:57,740 --> 00:11:58,820 Speaker 10: which I think you're going to pull up a chart 285 00:11:58,860 --> 00:12:01,200 Speaker 10: of that, or you look at just something even more 286 00:12:01,220 --> 00:12:03,870 Speaker 10: simple like, I don't know, real average hourly earnings, it 287 00:12:03,880 --> 00:12:04,569 Speaker 10: doesn't really matter. 288 00:12:06,429 --> 00:12:07,270 Speaker 1: We're behind inflation. 289 00:12:07,530 --> 00:12:10,110 Speaker 10: I mean, the consumer is really struggling from a real 290 00:12:10,210 --> 00:12:12,429 Speaker 10: earnings perspective. And the truth is, and we should talk 291 00:12:12,450 --> 00:12:14,870 Speaker 10: about this more. But the truth is, I don't really 292 00:12:14,910 --> 00:12:16,890 Speaker 10: see that going away imminently. 293 00:12:17,210 --> 00:12:18,929 Speaker 2: Let me bring up the chart here. This is back 294 00:12:18,970 --> 00:12:21,570 Speaker 2: to 2001, so it's a quarter of a century chart. 295 00:12:22,010 --> 00:12:27,900 Speaker 2: And this is Porcelli. This is the ECI index, which 296 00:12:27,960 --> 00:12:31,920 Speaker 2: is wages and benefits. It's a little bit fancier paycheck 297 00:12:32,240 --> 00:12:35,480 Speaker 2: than hourly wages. And what's so important there, folks, is 298 00:12:35,500 --> 00:12:39,079 Speaker 2: the good news before COVID. We had a positive real wage, 299 00:12:39,100 --> 00:12:40,820 Speaker 2: and then COVID and the noise and all that. 300 00:12:41,240 --> 00:12:42,360 Speaker 3: And then there was a nice rebound. 301 00:12:42,400 --> 00:12:45,760 Speaker 2: And then, Tom, you're saying this negative raise, the red circle, 302 00:12:46,000 --> 00:12:46,880 Speaker 2: could continue. 303 00:12:46,900 --> 00:12:49,860 Speaker 10: Yeah, and so what everyone should know is what they're 304 00:12:49,880 --> 00:12:53,860 Speaker 10: looking at there in that chart, that's ECI, which includes everything, right? 305 00:12:53,900 --> 00:12:56,560 Speaker 10: It's not just wages. It's also benefits. If you just 306 00:12:56,600 --> 00:13:00,520 Speaker 10: did the wages part... of ECI, it looks meaningfully worse. 307 00:13:01,390 --> 00:13:04,610 Speaker 10: In fact, it's in negative territory. So again, I think 308 00:13:04,650 --> 00:13:07,310 Speaker 10: that's a really important caveat to what people see, because 309 00:13:07,450 --> 00:13:08,750 Speaker 10: what I would tell you is that it's actually worse 310 00:13:08,770 --> 00:13:09,189 Speaker 10: than that chart. 311 00:13:09,960 --> 00:13:14,150 Speaker 1: How well does anyone understand how much inflation, higher prices 312 00:13:14,250 --> 00:13:18,130 Speaker 1: influence behavior like consumer spending? For instance, my 15-year-old dishwasher 313 00:13:18,150 --> 00:13:20,030 Speaker 1: now leaks water when it's running a cycle. So I 314 00:13:20,070 --> 00:13:23,890 Speaker 1: can either pay a plumber, like what, $ 300 to diagnose 315 00:13:23,910 --> 00:13:25,980 Speaker 1: and repair, or spend at least $ 800 to buy a 316 00:13:26,020 --> 00:13:28,200 Speaker 1: new one. It makes more sense for me to buy 317 00:13:28,220 --> 00:13:30,920 Speaker 1: a new one before prices go up even higher, but 318 00:13:31,020 --> 00:13:33,260 Speaker 1: I may just end up not doing anything and trying 319 00:13:33,280 --> 00:13:35,060 Speaker 1: to get a used one off Facebook Marketplace. 320 00:13:35,080 --> 00:13:37,850 Speaker 10: I think this is a really important idea. because as 321 00:13:37,890 --> 00:13:39,970 Speaker 10: much as I can tell you that real wages are 322 00:13:40,130 --> 00:13:42,870 Speaker 10: really sort of struggling here, the reality is there's still 323 00:13:42,890 --> 00:13:45,310 Speaker 10: a wealth effect in place, right? The reality is people 324 00:13:45,350 --> 00:13:47,650 Speaker 10: still look at their 401k statements when they come in 325 00:13:48,110 --> 00:13:50,510 Speaker 10: or their investment accounts when they come in, and they 326 00:13:50,550 --> 00:13:54,890 Speaker 10: see that they're looking pretty positive. And that wealth effect, 327 00:13:54,970 --> 00:13:58,650 Speaker 10: I think, is really emboldening people to basically feel comfortable 328 00:13:58,690 --> 00:14:02,490 Speaker 10: dipping into saving to the extent that they are. And that, 329 00:14:02,530 --> 00:14:04,360 Speaker 10: to me, is, I think, again, a really important part 330 00:14:04,380 --> 00:14:07,360 Speaker 10: of the story because You know, if the one side 331 00:14:07,400 --> 00:14:09,839 Speaker 10: of your balance sheet is looking pretty good, right, whether 332 00:14:09,860 --> 00:14:11,820 Speaker 10: you're sitting on a house, whether you're sitting on a 333 00:14:12,640 --> 00:14:15,840 Speaker 10: 401k or, again, any investment account, the truth is, for 334 00:14:15,900 --> 00:14:19,180 Speaker 10: most people, that's what's encouraging them to continue to go 335 00:14:19,220 --> 00:14:21,100 Speaker 10: out and spend. And that's why we actually, it's funny, 336 00:14:21,120 --> 00:14:23,600 Speaker 10: when we think about, like, our consumption forecast, I can 337 00:14:23,620 --> 00:14:26,940 Speaker 10: tell you that beneath the surface, the consumer is looking, again, 338 00:14:26,980 --> 00:14:31,610 Speaker 10: a little roughed up. But it doesn't change our consumption 339 00:14:31,620 --> 00:14:34,010 Speaker 10: forecast because consumers are still feeling pretty good on Wealth Effect. 340 00:14:34,680 --> 00:14:36,660 Speaker 2: I look here, Tom, and this is the heritage of 341 00:14:36,700 --> 00:14:41,930 Speaker 2: Wells Fargo economics, Jay Bryson and John Sylvia from decades ago, 342 00:14:42,230 --> 00:14:46,410 Speaker 2: brilliant analysis of how Americans used to move around. We 343 00:14:46,450 --> 00:14:49,530 Speaker 2: used to look over the horizon, the cliche, go west, 344 00:14:49,870 --> 00:14:52,690 Speaker 2: or at least go down to Key West. But I look, Tom, 345 00:14:52,710 --> 00:14:55,050 Speaker 2: where we are, and the research I've seen for years 346 00:14:55,090 --> 00:14:58,410 Speaker 2: at Wells Fargo We've become a more static America. 347 00:14:58,740 --> 00:15:01,300 Speaker 3: We're not moving, right? Absolutely right. 348 00:15:01,500 --> 00:15:03,560 Speaker 10: And, you know, you can see that in a, I mean, 349 00:15:03,580 --> 00:15:05,120 Speaker 10: if you wanted to sort of zoom out and look 350 00:15:05,140 --> 00:15:07,100 Speaker 10: at it in a more aggregate sense, you know, you 351 00:15:07,120 --> 00:15:08,800 Speaker 10: could look at something like the quit rate. I mean, 352 00:15:08,830 --> 00:15:12,130 Speaker 10: the quit rate is one, nine, two percent. I mean, 353 00:15:12,170 --> 00:15:13,650 Speaker 10: you have to go back to 2015 to see a 354 00:15:13,710 --> 00:15:16,230 Speaker 10: lower quit rate. And what's interesting about 2015, I mean, 355 00:15:16,250 --> 00:15:18,100 Speaker 10: I know that just sounds like a random number. It's 356 00:15:18,120 --> 00:15:20,120 Speaker 10: not that random. I mean, think about what was happening 357 00:15:20,140 --> 00:15:23,140 Speaker 10: in 2015. I mean, that was the jobless recovery. And 358 00:15:23,180 --> 00:15:26,800 Speaker 10: so we're back to there. So it's not like people 359 00:15:26,820 --> 00:15:27,300 Speaker 10: feel very comfortable. 360 00:15:27,320 --> 00:15:29,160 Speaker 1: When the labor market's doing fairly well, in fact. 361 00:15:29,220 --> 00:15:32,120 Speaker 10: Yeah, well, I think that that's part of the point, right? Like, 362 00:15:32,240 --> 00:15:33,880 Speaker 10: I don't know how... I don't know if the labor 363 00:15:33,920 --> 00:15:36,620 Speaker 10: market is doing nearly as well as, you know, something by, 364 00:15:37,300 --> 00:15:39,570 Speaker 10: if you're just simply looking at the unemployment rate, I 365 00:15:39,590 --> 00:15:41,990 Speaker 10: don't think that's the right way of really capturing sort 366 00:15:42,010 --> 00:15:44,570 Speaker 10: of the underlying essence of what's happening in the labor market. 367 00:15:45,330 --> 00:15:46,450 Speaker 3: I think, you know, you have to. 368 00:15:46,410 --> 00:15:48,790 Speaker 10: Look at sort of the degree of confidence towards labor. 369 00:15:49,810 --> 00:15:51,410 Speaker 10: And you can see that there's not a ton of confidence, 370 00:15:51,450 --> 00:15:53,170 Speaker 10: and that shows up in the quit rate or something 371 00:15:53,210 --> 00:15:56,750 Speaker 10: like the labor differential. And that is, I think, really 372 00:15:56,830 --> 00:15:57,330 Speaker 10: acting as a. 373 00:15:57,330 --> 00:15:57,890 Speaker 2: Sort of a ceiling. 374 00:15:58,370 --> 00:16:00,610 Speaker 1: How much does the data reflect the reality of how 375 00:16:00,650 --> 00:16:02,730 Speaker 1: people work now, which is some people have a full-time 376 00:16:02,770 --> 00:16:05,090 Speaker 1: job where they get a W-2, but other people are 377 00:16:05,110 --> 00:16:07,890 Speaker 1: putting together lots of gigs and hustling their way to 378 00:16:07,950 --> 00:16:08,690 Speaker 1: some kind of paycheck? 379 00:16:08,870 --> 00:16:09,390 Speaker 3: Yeah, for sure. 380 00:16:09,410 --> 00:16:12,510 Speaker 10: I mean, look, that is a huge part of the 381 00:16:12,530 --> 00:16:16,510 Speaker 10: labor backdrop today. I mean, that's an inescapable truth. And look, 382 00:16:16,570 --> 00:16:19,080 Speaker 10: at the end of the day, the unemployment rate is 383 00:16:19,120 --> 00:16:22,900 Speaker 10: still relatively low, right? I mean, it's between 4% and 4.5%, 384 00:16:22,900 --> 00:16:25,460 Speaker 10: which has been the case now for you know, the 385 00:16:25,500 --> 00:16:31,260 Speaker 10: last year or so. So labor is generally okay. I 386 00:16:31,300 --> 00:16:32,800 Speaker 10: just don't think it's as nearly as good as a 387 00:16:32,830 --> 00:16:34,750 Speaker 10: lot of people would think if you're just looking at 388 00:16:34,770 --> 00:16:35,510 Speaker 10: the unemployment rate. 389 00:16:35,530 --> 00:16:37,650 Speaker 2: I want to get you back here, but Tom, I 390 00:16:37,710 --> 00:16:42,410 Speaker 2: want to talk about retirement. The struggle in America, we've 391 00:16:42,430 --> 00:16:44,980 Speaker 2: got this huge number of halves. Bess Friedman's going to 392 00:16:45,040 --> 00:16:50,380 Speaker 2: be on from Brown hair Stevens. Thanks, Luigi, for that. 393 00:16:50,800 --> 00:16:52,240 Speaker 2: By Friday, my brain is just gone. 394 00:16:52,260 --> 00:16:52,780 Speaker 1: I know. I hear you. 395 00:16:52,960 --> 00:16:53,920 Speaker 3: Do you understand? 396 00:16:53,940 --> 00:16:55,020 Speaker 1: You can bond. 397 00:16:54,800 --> 00:16:58,820 Speaker 3: With me on this. Absolutely. I'm glad you like that, Susan. 398 00:16:59,800 --> 00:17:01,780 Speaker 2: I look, Tom, where we are, and we've got to 399 00:17:01,820 --> 00:17:04,920 Speaker 2: get to retirement. Yes. Peter Orszag sitting in this chair 400 00:17:04,980 --> 00:17:09,119 Speaker 2: last week. A huge body of America can't get to retirement, 401 00:17:09,220 --> 00:17:09,620 Speaker 2: can they? 402 00:17:10,030 --> 00:17:11,830 Speaker 10: Yeah, look, I think that that is going to be 403 00:17:12,070 --> 00:17:15,270 Speaker 10: the persistent challenge for, I think, for quite a number 404 00:17:15,310 --> 00:17:18,050 Speaker 10: of folks. You know, the reality is, and we just 405 00:17:18,090 --> 00:17:20,870 Speaker 10: did this work actually in a note, which hopefully you're 406 00:17:21,050 --> 00:17:21,689 Speaker 10: both getting that. 407 00:17:22,590 --> 00:17:23,369 Speaker 1: We'll get on the mailing list. 408 00:17:23,930 --> 00:17:25,570 Speaker 3: Please just let me know. I don't open my emails. 409 00:17:25,650 --> 00:17:26,090 Speaker 1: Continue. 410 00:17:26,690 --> 00:17:27,290 Speaker 2: I'll get you added. 411 00:17:28,130 --> 00:17:32,690 Speaker 10: And what we showed is that more and more people 412 00:17:32,730 --> 00:17:38,590 Speaker 10: are actually relying on investment income more so than wage income. 413 00:17:39,530 --> 00:17:43,100 Speaker 10: There's this transition that's happening right now. And what that 414 00:17:43,130 --> 00:17:45,380 Speaker 10: means is that you're more at the mercy of what 415 00:17:45,400 --> 00:17:49,119 Speaker 10: happens from a market perspective. That's an interesting thing, particularly 416 00:17:49,140 --> 00:17:50,060 Speaker 10: as you think about retirement. 417 00:17:50,100 --> 00:17:52,520 Speaker 1: Especially as a record 58% of all U.S. households are 418 00:17:52,560 --> 00:17:54,820 Speaker 1: now exposed to the stock market as opposed to before. 419 00:17:54,920 --> 00:17:55,720 Speaker 3: Yes, that's exactly right. 420 00:17:55,820 --> 00:17:57,250 Speaker 1: Tom, I know you spend a lot of your time 421 00:17:57,350 --> 00:18:01,830 Speaker 1: thinking about and writing about employment, inflation. What would surprise 422 00:18:02,130 --> 00:18:04,820 Speaker 1: other people about how you approach managing your own finances? 423 00:18:05,270 --> 00:18:08,210 Speaker 10: Oh gosh, I think that they would probably be surprised 424 00:18:08,230 --> 00:18:11,429 Speaker 10: to learn that I'm incredibly hands off. I sort of 425 00:18:11,470 --> 00:18:13,050 Speaker 10: set it and leave it. I really don't touch it 426 00:18:13,070 --> 00:18:13,530 Speaker 10: all that much. 427 00:18:13,930 --> 00:18:16,139 Speaker 1: Do you rip open your statements when they come in? 428 00:18:16,330 --> 00:18:16,990 Speaker 2: I don't. 429 00:18:17,609 --> 00:18:20,230 Speaker 10: I don't know what that says about me exactly, but no, 430 00:18:20,590 --> 00:18:23,190 Speaker 10: I'm very comfortable knowing that my time horizon is sufficient 431 00:18:23,270 --> 00:18:27,449 Speaker 10: where I'm not all that bothered by market swings. If 432 00:18:27,730 --> 00:18:30,830 Speaker 10: my macro view really lines up with, hey, by the way, 433 00:18:30,890 --> 00:18:33,100 Speaker 10: we're about to go into a very rough branch, I'll 434 00:18:33,119 --> 00:18:36,400 Speaker 10: make some adjustments. But otherwise, I'm just sort of, you know, 435 00:18:36,420 --> 00:18:37,440 Speaker 10: set it and let it go. 436 00:18:37,660 --> 00:18:39,260 Speaker 3: Our listeners and viewers are. 437 00:18:39,220 --> 00:18:42,139 Speaker 2: Opening their monthly statements and they're seeing price down and 438 00:18:42,220 --> 00:18:44,820 Speaker 2: fixed income. Is that something we need to get used to? 439 00:18:44,960 --> 00:18:45,260 Speaker 3: Yeah. 440 00:18:45,540 --> 00:18:47,240 Speaker 10: You know, we've been talking about this for quite some 441 00:18:47,260 --> 00:18:51,320 Speaker 10: time now. I think the rise in yields is real. 442 00:18:51,359 --> 00:18:55,420 Speaker 10: I think there's a new floor underneath yields. And I 443 00:18:55,460 --> 00:18:56,899 Speaker 10: think what people have to keep in mind, because it's 444 00:18:56,960 --> 00:18:58,720 Speaker 10: very easy, and this is especially true for, I think, 445 00:18:58,740 --> 00:18:59,520 Speaker 10: a lot of equity. 446 00:18:59,300 --> 00:19:00,380 Speaker 2: Investors, I think, sometimes. 447 00:19:00,800 --> 00:19:02,600 Speaker 10: I'm really worried about this, I think, more than most. 448 00:19:03,220 --> 00:19:05,480 Speaker 10: What you have to keep in mind is yields rising 449 00:19:05,520 --> 00:19:07,640 Speaker 10: in and of itself is not a bad thing. It's 450 00:19:07,660 --> 00:19:09,869 Speaker 10: the reason, right? It's the reason that matters. And if 451 00:19:09,910 --> 00:19:12,670 Speaker 10: yields are rising for good reasons, then I think it's OK. 452 00:19:12,690 --> 00:19:14,430 Speaker 10: I think most of the rise has been for good reasons, 453 00:19:14,450 --> 00:19:15,570 Speaker 10: even though it's been a lot of quirks. 454 00:19:15,869 --> 00:19:18,830 Speaker 1: OK, then there's all the existential crisis kind of questions 455 00:19:18,869 --> 00:19:21,330 Speaker 1: about national debt. Tom, thank you so much. Tom Porcelli, 456 00:19:21,369 --> 00:19:24,560 Speaker 1: chief economist at Wells Fargo. More to come on Bloomberg 457 00:19:24,600 --> 00:19:26,899 Speaker 1: Money with Jonathan Miller and Bess Friedman. 458 00:19:29,630 --> 00:19:32,710 Speaker 2: You're listening to Bloomberg Money. Stay with us with more 459 00:19:32,730 --> 00:19:34,040 Speaker 2: to come after this. 460 00:19:42,100 --> 00:19:45,449 Speaker 3: Bloomberg Money. Good afternoon. Yes, the fish are real. They 461 00:19:45,490 --> 00:19:47,270 Speaker 3: were not fake. It's not AI. 462 00:19:47,290 --> 00:19:49,750 Speaker 2: CoreWeave didn't do that or something. 463 00:19:50,350 --> 00:19:51,430 Speaker 3: Or the rest of them as well. 464 00:19:51,450 --> 00:19:53,910 Speaker 2: Bloomberg Money here on a Friday after sort of like 465 00:19:53,950 --> 00:19:55,490 Speaker 2: a kind of like an exhausting week. 466 00:19:55,710 --> 00:19:58,130 Speaker 1: It has been. And for the tech stocks, it continues 467 00:19:58,170 --> 00:20:00,629 Speaker 1: to be. I'm looking at eight straight days of losses 468 00:20:00,690 --> 00:20:03,130 Speaker 1: for chip companies. Remember when they were the high flyers? 469 00:20:03,369 --> 00:20:04,350 Speaker 3: Yeah, like three weeks ago. 470 00:20:04,850 --> 00:20:05,630 Speaker 1: Not so long ago. 471 00:20:05,670 --> 00:20:08,300 Speaker 2: Fortunately, I'm a long term six week record here. 472 00:20:08,490 --> 00:20:08,669 Speaker 9: All right. 473 00:20:08,690 --> 00:20:11,439 Speaker 1: Bloomberg Money is your new destination for personal finance. It's 474 00:20:11,480 --> 00:20:15,200 Speaker 1: a cross-platform effort that extends beyond your television screen, including 475 00:20:15,220 --> 00:20:18,040 Speaker 1: our new digital hub at Bloomberg.com slash money. And Tom, 476 00:20:18,080 --> 00:20:21,320 Speaker 1: this week we had a story about how 7% mortgage 477 00:20:21,359 --> 00:20:23,379 Speaker 1: rates have hit the U.S. housing market. It's actually more 478 00:20:23,420 --> 00:20:26,330 Speaker 1: than 7% now. And those rates have sent pending home 479 00:20:26,369 --> 00:20:29,369 Speaker 1: sales tumbling to near 12-year lows. So it's having an 480 00:20:29,410 --> 00:20:32,750 Speaker 1: impact on the numbers. The housing market has really slowed down. 481 00:20:33,520 --> 00:20:34,420 Speaker 3: It's really slowed down. 482 00:20:34,460 --> 00:20:36,720 Speaker 2: But I wonder, after talking to Sreenad Rajan about it, 483 00:20:36,750 --> 00:20:39,889 Speaker 2: how it's slowed down in certain climes of. 484 00:20:39,869 --> 00:20:41,050 Speaker 3: Wall Street as well. 485 00:20:41,670 --> 00:20:44,950 Speaker 2: Eight Ways to Go with Jonathan Miller. He's co-founder of 486 00:20:44,990 --> 00:20:45,800 Speaker 2: Miller Samuel. 487 00:20:46,260 --> 00:20:48,660 Speaker 3: Far more than that, in this nation, he is the. 488 00:20:48,580 --> 00:20:53,580 Speaker 2: Definitive statistical voice on what's happening to your renting. what's 489 00:20:53,600 --> 00:20:56,090 Speaker 2: happening to your home ownership. I was going to start 490 00:20:56,109 --> 00:20:57,879 Speaker 2: with Seattle, but I got to rip up the script 491 00:20:57,940 --> 00:21:01,250 Speaker 2: after Sreenath Rajan was with us here. How do you 492 00:21:01,369 --> 00:21:04,590 Speaker 2: see in real estate the Wall Street boom that's out 493 00:21:04,630 --> 00:21:08,109 Speaker 2: there right now? Is it simplistically just the Hamptons? Is 494 00:21:08,170 --> 00:21:11,030 Speaker 2: it Bess Friedman coming up in a bit? Her Fifth Avenue? 495 00:21:11,410 --> 00:21:12,150 Speaker 2: Where does all that. 496 00:21:12,070 --> 00:21:14,290 Speaker 3: Wall Street money go in the Jonathan Miller world? 497 00:21:14,770 --> 00:21:17,350 Speaker 11: Well, it goes to the upper half or upper third 498 00:21:17,390 --> 00:21:20,609 Speaker 11: of the housing market. The lower you go in price, 499 00:21:20,650 --> 00:21:25,930 Speaker 11: the more dependent consumers are on mortgage rates. Equity drawdowns 500 00:21:26,040 --> 00:21:29,639 Speaker 11: are fueling a tremendous strength in the luxury market. New 501 00:21:29,660 --> 00:21:35,160 Speaker 11: York Metro the West Coast, certain markets, really is the story. 502 00:21:35,340 --> 00:21:40,280 Speaker 11: And I think we're overly obsessed with mortgage rates as 503 00:21:40,600 --> 00:21:43,440 Speaker 11: sort of the determinant of health of the housing market. 504 00:21:43,480 --> 00:21:47,080 Speaker 11: I think the biggest issue with mortgage rates is if 505 00:21:47,140 --> 00:21:50,100 Speaker 11: they stabilize, I think that there's a lot of people, 506 00:21:50,160 --> 00:21:55,899 Speaker 11: I call it, they're basically procrastinating to make a decision because. 507 00:21:57,300 --> 00:21:59,640 Speaker 11: Because they can't get their arms around the current rate 508 00:21:59,700 --> 00:22:04,770 Speaker 11: because five minutes later, it's going up or changing. Consumers 509 00:22:04,830 --> 00:22:07,170 Speaker 11: need time to sort of get comfortable, and there's been 510 00:22:07,690 --> 00:22:10,280 Speaker 11: sort of too much information flowing in. 511 00:22:10,310 --> 00:22:11,490 Speaker 3: What I love about your work. 512 00:22:11,350 --> 00:22:14,609 Speaker 2: Is you not only show San Francisco's mental up-up AI 513 00:22:14,670 --> 00:22:17,510 Speaker 2: and all that. I mean, the starter homes are like 514 00:22:17,550 --> 00:22:18,950 Speaker 2: half a million, a million dollars. 515 00:22:18,970 --> 00:22:19,670 Speaker 1: You can't get a starter home. 516 00:22:19,710 --> 00:22:21,040 Speaker 3: Yeah, there's no starter home. That's right. 517 00:22:21,060 --> 00:22:21,179 Speaker 7: Sorry. 518 00:22:21,420 --> 00:22:24,920 Speaker 2: But just north, Seattle's really struggling. Jonathan Miller and Miller 519 00:22:24,960 --> 00:22:29,040 Speaker 2: Samuel here on Seattle. Seattle is not San Francisco. There's 520 00:22:29,080 --> 00:22:33,950 Speaker 2: tech unemployment, uncertainty, there's layoffs, fewer job-driven relocations, and less 521 00:22:34,030 --> 00:22:37,730 Speaker 2: confidence among workers who still have jobs. And then you 522 00:22:37,770 --> 00:22:40,160 Speaker 2: list the name of the companies as well. 523 00:22:40,240 --> 00:22:43,320 Speaker 3: Are there a lot of Seattles out there? There are. 524 00:22:43,340 --> 00:22:46,980 Speaker 11: It's starting to, you're starting to break out and see that. 525 00:22:47,580 --> 00:22:51,239 Speaker 11: What's really interesting is that you can't sort of pigeonhole 526 00:22:52,200 --> 00:22:56,359 Speaker 11: a tech location as sort of with the AI boom 527 00:22:56,420 --> 00:23:00,619 Speaker 11: as being sort of safe. You look at San Francisco 528 00:23:01,550 --> 00:23:06,950 Speaker 11: was this dire downturn. The tech sector was really weak. 529 00:23:07,650 --> 00:23:10,810 Speaker 11: Housing prices were falling. Now we have the tech sector 530 00:23:10,830 --> 00:23:15,980 Speaker 11: in the switching to AI, but that's not happening in Seattle. 531 00:23:16,080 --> 00:23:19,479 Speaker 11: So it's very market dependent. Now we're seeing housing prices 532 00:23:19,540 --> 00:23:22,720 Speaker 11: in San Francisco up about 20% over the last year, 533 00:23:22,800 --> 00:23:24,300 Speaker 11: which is incredible. 534 00:23:24,340 --> 00:23:26,780 Speaker 1: San Francisco or San Francisco suburbs by Silicon Valley? 535 00:23:26,960 --> 00:23:27,280 Speaker 2: Both. 536 00:23:27,840 --> 00:23:31,410 Speaker 11: And what's really interesting is that Oakland across the Bay 537 00:23:31,470 --> 00:23:35,690 Speaker 11: Bridge is I see that as the Brooklyn of San 538 00:23:35,730 --> 00:23:41,320 Speaker 11: Francisco really saw declining housing prices for two or three years. 539 00:23:41,900 --> 00:23:43,080 Speaker 3: Now we're starting. 540 00:23:43,240 --> 00:23:46,650 Speaker 11: I think, seeing a San Francisco spillover where the jobs, 541 00:23:47,150 --> 00:23:50,270 Speaker 11: the suit for affordable housing is pushing prices up again. 542 00:23:50,430 --> 00:23:53,100 Speaker 1: So our understanding of all these different specific markets, a 543 00:23:53,140 --> 00:23:55,520 Speaker 1: lot of it comes from social media, from whatever people 544 00:23:55,580 --> 00:23:58,420 Speaker 1: who live there or who talk about places they're portrayed 545 00:23:58,480 --> 00:24:01,270 Speaker 1: in the narrative that they tell. How has social media, 546 00:24:01,290 --> 00:24:05,290 Speaker 1: the TikToks, Instagrams, YouTube shorts, changed the way people think 547 00:24:05,350 --> 00:24:07,450 Speaker 1: about how to transact in this housing market? 548 00:24:07,710 --> 00:24:11,620 Speaker 11: Well, I think social media, at least my feed, when 549 00:24:11,680 --> 00:24:14,800 Speaker 11: I look at the information coming at me, you get 550 00:24:14,840 --> 00:24:17,540 Speaker 11: the impression that every market in America is. 551 00:24:17,560 --> 00:24:18,620 Speaker 3: Flooded with supply. 552 00:24:18,640 --> 00:24:21,960 Speaker 11: And if you really look at it regionally, the Northeast, 553 00:24:22,080 --> 00:24:24,760 Speaker 11: the Midwest is devoid of supply. 554 00:24:25,100 --> 00:24:26,980 Speaker 3: You look at the Sunbelt, actually. 555 00:24:28,580 --> 00:24:31,680 Speaker 11: Has the most supply, but it's not as much as 556 00:24:32,660 --> 00:24:35,080 Speaker 11: that sort of has stopped, the inventory growth. 557 00:24:35,400 --> 00:24:38,080 Speaker 3: And the West is somewhere in between. So it's a 558 00:24:38,100 --> 00:24:39,139 Speaker 3: really mixed bag. 559 00:24:39,369 --> 00:24:42,170 Speaker 11: But inventory is the most important metric in housing right 560 00:24:42,230 --> 00:24:44,450 Speaker 11: now and has been coming out of the pandemic. 561 00:24:44,470 --> 00:24:46,310 Speaker 2: There seems to be, Jonathan Miller, in the arc of 562 00:24:46,350 --> 00:24:52,020 Speaker 2: your career, a society, cross-generation society, giving up on home ownership. 563 00:24:52,580 --> 00:24:56,020 Speaker 2: Are we becoming like Europe, where there's just a dominant 564 00:24:56,180 --> 00:24:58,639 Speaker 2: idea we're going to rent and never own? 565 00:25:00,210 --> 00:25:02,950 Speaker 11: I guess the short answer to that is absolutely not. 566 00:25:03,590 --> 00:25:06,690 Speaker 11: I don't think that. I think the problem is we're 567 00:25:06,760 --> 00:25:09,260 Speaker 11: in sort of a short-term environment where we have this 568 00:25:09,400 --> 00:25:14,240 Speaker 11: heavy burden caused by higher rates, which largely is an 569 00:25:14,320 --> 00:25:19,880 Speaker 11: economic unforced error. And I think, you know, this sort 570 00:25:19,920 --> 00:25:24,080 Speaker 11: of ends. The problem is the chaos. It's less about 571 00:25:24,119 --> 00:25:24,880 Speaker 11: the rate itself. 572 00:25:25,480 --> 00:25:25,980 Speaker 3: Rates are 7.5%. 573 00:25:25,980 --> 00:25:32,400 Speaker 11: Mm-hmm. That's not some crazy high number. It's just relative 574 00:25:32,460 --> 00:25:35,320 Speaker 11: to the pandemic where I believe the Fed kept rates 575 00:25:35,380 --> 00:25:36,290 Speaker 11: too low for too long. 576 00:25:36,609 --> 00:25:39,150 Speaker 1: Let's talk about the costs of housing ownership overall, because 577 00:25:39,230 --> 00:25:41,610 Speaker 1: it's not just high mortgage rates. It's not just high 578 00:25:41,990 --> 00:25:44,520 Speaker 1: prices for the homes overall. You also have high property 579 00:25:44,560 --> 00:25:47,020 Speaker 1: taxes and high insurance costs. And a lot of cities 580 00:25:47,359 --> 00:25:50,020 Speaker 1: and states are now looking into cutting property taxes because 581 00:25:50,040 --> 00:25:51,679 Speaker 1: they know that that's a pain point for a lot 582 00:25:51,700 --> 00:25:52,020 Speaker 1: of people. 583 00:25:52,040 --> 00:25:53,080 Speaker 3: Especially Florida. 584 00:25:53,180 --> 00:25:56,030 Speaker 1: Especially Florida. How does that all play out? Because something's 585 00:25:56,070 --> 00:25:57,850 Speaker 1: got to give, and services are going to go by 586 00:25:57,890 --> 00:25:59,770 Speaker 1: the wayside. You're not going to get your garbage picked up. 587 00:26:00,310 --> 00:26:02,930 Speaker 1: How do you get that idea across to people? 588 00:26:03,710 --> 00:26:07,620 Speaker 11: First of all, it's very weird to cut or remove 589 00:26:07,690 --> 00:26:11,540 Speaker 11: property taxes when they pay for police and fire and EMT, 590 00:26:12,020 --> 00:26:16,679 Speaker 11: maybe a little bit of school. That's all going to 591 00:26:16,700 --> 00:26:21,780 Speaker 11: be paid out of some other location. So maybe property 592 00:26:21,840 --> 00:26:26,189 Speaker 11: taxes go down, but essentially local governments lose control of 593 00:26:26,510 --> 00:26:29,910 Speaker 11: how the property taxes are spent and it becomes centralized where... 594 00:26:30,990 --> 00:26:34,050 Speaker 11: a municipality has to go to, say, Tallahassee in Florida 595 00:26:34,090 --> 00:26:36,210 Speaker 11: and sort of beg for their share of the pie 596 00:26:36,600 --> 00:26:38,440 Speaker 11: as opposed to a local government actually. 597 00:26:38,560 --> 00:26:41,560 Speaker 2: The mayor of Tallahassee or the mayor of New York City, 598 00:26:41,859 --> 00:26:45,410 Speaker 2: what's your number one advice to them? to fix, solve 599 00:26:45,450 --> 00:26:46,490 Speaker 2: this national headache? 600 00:26:47,450 --> 00:26:50,710 Speaker 11: Well, I think we're actually seeing some of that here 601 00:26:50,750 --> 00:26:53,950 Speaker 11: in New York. There's been a lot of fear-mongering about 602 00:26:54,580 --> 00:26:58,080 Speaker 11: New York and people fleeing the city, you know, taxes. 603 00:26:58,340 --> 00:26:59,600 Speaker 3: Are we? No. 604 00:26:59,800 --> 00:27:02,660 Speaker 11: We're actually not seeing it in the data at all. 605 00:27:02,780 --> 00:27:06,180 Speaker 11: We're not seeing people fleeing the city. And I guess, 606 00:27:06,720 --> 00:27:09,030 Speaker 11: you know, as my grandfather told me when I was 607 00:27:09,070 --> 00:27:12,229 Speaker 11: a kid growing up in D.C., if you're not working 608 00:27:12,310 --> 00:27:13,969 Speaker 11: in New York, then you're just camping out. 609 00:27:14,210 --> 00:27:17,210 Speaker 2: Scarlett, is this another reason that Jalen is God? 610 00:27:17,830 --> 00:27:18,530 Speaker 3: We're not leaving. 611 00:27:18,550 --> 00:27:20,950 Speaker 1: Jalen's God for so many reasons, we can't even begin 612 00:27:20,990 --> 00:27:26,060 Speaker 1: to list them. Let's talk a little bit about the Northeast, 613 00:27:26,100 --> 00:27:29,740 Speaker 1: because I think about extreme weather as well, and how 614 00:27:29,800 --> 00:27:33,379 Speaker 1: that's become... I don't know, makes certain places uninhabitable in 615 00:27:33,420 --> 00:27:36,370 Speaker 1: many ways. You think about, for instance, the northern coast 616 00:27:36,390 --> 00:27:38,550 Speaker 1: of Long Island or Connecticut, where they had a lot 617 00:27:38,570 --> 00:27:41,470 Speaker 1: of extreme flooding. How does that change evaluation of what 618 00:27:41,750 --> 00:27:45,389 Speaker 1: used to be fairly desirable regions that were always in demand? 619 00:27:46,200 --> 00:27:49,970 Speaker 11: So right now, there's no recognition of sort of flood 620 00:27:50,010 --> 00:27:51,149 Speaker 11: zone risk. 621 00:27:51,990 --> 00:27:54,369 Speaker 3: And that's going to. 622 00:27:54,330 --> 00:27:57,730 Speaker 11: Be a problem in 30 years, maybe not immediately. 623 00:27:58,410 --> 00:28:00,129 Speaker 3: But actually, what you're seeing. 624 00:28:00,010 --> 00:28:04,210 Speaker 11: Is in areas that are sort of constantly threatened by flooding, 625 00:28:04,840 --> 00:28:07,520 Speaker 11: we're actually seeing in these markets like in Long Island, 626 00:28:07,540 --> 00:28:10,840 Speaker 11: especially the south shore of Long Island, that these locations 627 00:28:10,880 --> 00:28:16,300 Speaker 11: that were formerly middle class waterfront type locations, Lots are 628 00:28:16,320 --> 00:28:18,700 Speaker 11: being doubled down, and it's luxury housing. 629 00:28:19,140 --> 00:28:23,600 Speaker 2: John, I need advice. Bess Friedman's coming on. She has 630 00:28:23,600 --> 00:28:27,820 Speaker 2: $ 36 million up Fifth Avenue. The monthly maintenance fee for 631 00:28:27,840 --> 00:28:32,970 Speaker 2: the guy standing out front. 632 00:28:31,810 --> 00:28:33,450 Speaker 4: Is $ 24, 396. 633 00:28:32,810 --> 00:28:33,129 Speaker 1: Wow. 634 00:28:33,350 --> 00:28:36,610 Speaker 3: That's almost like a Knicks ticket. I think that's real money, right? 635 00:28:37,350 --> 00:28:38,230 Speaker 3: That's real money. 636 00:28:38,250 --> 00:28:40,130 Speaker 1: That's a month's salary. It's a lease. I mean, someone's 637 00:28:40,190 --> 00:28:42,850 Speaker 1: annual salary. Jonathan, thank you so much for joining us today. 638 00:28:43,030 --> 00:28:43,730 Speaker 3: My pleasure. 639 00:28:43,800 --> 00:28:54,090 Speaker 1: Jonathan Miller is co-founder of Miller Samuel. This hour on 640 00:28:54,110 --> 00:28:57,010 Speaker 1: Bloomberg Money, we are talking about real estate. Bess Friedman, 641 00:28:57,030 --> 00:29:00,300 Speaker 1: CEO of Brown Harris Stevens, is with us. Bess, how 642 00:29:00,360 --> 00:29:03,040 Speaker 1: is business right now? Are people actually going in wanting 643 00:29:03,080 --> 00:29:04,420 Speaker 1: to buy or sell, or are they just kind of 644 00:29:04,700 --> 00:29:05,420 Speaker 1: forever looking? 645 00:29:06,160 --> 00:29:09,000 Speaker 7: Well, the market is actually really strong in New York City, 646 00:29:09,140 --> 00:29:12,920 Speaker 7: particularly at the high end of the market. That business 647 00:29:13,000 --> 00:29:15,900 Speaker 7: is really good, stronger than last year. But if you 648 00:29:15,920 --> 00:29:18,220 Speaker 7: look at Wall Street, it's supposed to make something like 649 00:29:18,220 --> 00:29:20,700 Speaker 7: $ 90 billion this year, and bonuses are going to be 650 00:29:20,740 --> 00:29:24,240 Speaker 7: something like $ 60 billion approximately. So You know, the rich 651 00:29:24,260 --> 00:29:26,900 Speaker 7: keep getting richer, and we have this sort of tale 652 00:29:26,920 --> 00:29:30,490 Speaker 7: of two different markets where discretionary spending is up, and 653 00:29:30,510 --> 00:29:33,090 Speaker 7: then we're in an affordability crisis on the other front, 654 00:29:33,110 --> 00:29:35,430 Speaker 7: which you guys talked about a little bit with Jonathan Miller. 655 00:29:35,870 --> 00:29:38,370 Speaker 1: So when you look at mortgage rates at these current levels, 656 00:29:38,410 --> 00:29:42,959 Speaker 1: almost 7.5 and mortgage rates affects the high-income buyer and 657 00:29:43,000 --> 00:29:45,960 Speaker 1: the low-income buyer just as much, what is the psychology 658 00:29:45,980 --> 00:29:48,670 Speaker 1: of sellers versus buyers now when you have mortgage rates 659 00:29:48,730 --> 00:29:50,070 Speaker 1: at 7.5%? You know, it depends. 660 00:29:50,310 --> 00:29:54,050 Speaker 7: So last year in New York City, 65% of the 661 00:29:54,110 --> 00:29:55,570 Speaker 7: deals were done without a mortgage. 662 00:29:55,630 --> 00:29:56,330 Speaker 4: They were cash. 663 00:29:56,490 --> 00:29:59,470 Speaker 7: So that's a little bit different. Most Americans get a mortgage. 664 00:29:59,540 --> 00:30:03,180 Speaker 7: And so, you know, rates are still historically pretty low, 665 00:30:03,320 --> 00:30:05,700 Speaker 7: but people are still adjusting. And the real issue, as 666 00:30:05,760 --> 00:30:09,520 Speaker 7: Jonathan said, is supply. We are 5 million homes in 667 00:30:09,580 --> 00:30:12,620 Speaker 7: deficit in the United States of America. My parents bought 668 00:30:12,640 --> 00:30:14,460 Speaker 7: a home when they were in their 20s. I bought 669 00:30:14,480 --> 00:30:15,760 Speaker 7: a home when I was in my 30s. And I 670 00:30:15,800 --> 00:30:17,840 Speaker 7: bet my kids are going to buy a home when they're. 671 00:30:17,720 --> 00:30:18,070 Speaker 11: In their 40s. 672 00:30:18,120 --> 00:30:19,050 Speaker 3: Or never buy one. 673 00:30:19,110 --> 00:30:19,870 Speaker 2: Or never buy one. 674 00:30:20,570 --> 00:30:23,720 Speaker 7: And the American dream is being, you know, running past us. 675 00:30:23,750 --> 00:30:26,030 Speaker 2: Your magic in the grind of real estate is you 676 00:30:26,070 --> 00:30:29,110 Speaker 2: started out reading real estate articles at Ithaca College a 677 00:30:29,150 --> 00:30:32,320 Speaker 2: million years ago. Ithaca College, like any other college town 678 00:30:32,340 --> 00:30:36,340 Speaker 2: with a number of universities, is an absolute outrage of 679 00:30:36,420 --> 00:30:37,940 Speaker 2: housing non-affordability. 680 00:30:37,980 --> 00:30:38,240 Speaker 3: That's right. 681 00:30:38,260 --> 00:30:40,780 Speaker 2: I mean, let's take Ithaca as a microcosm of what 682 00:30:40,860 --> 00:30:42,830 Speaker 2: needs to be done. Why can't we do it like 683 00:30:42,880 --> 00:30:44,790 Speaker 2: our grandparents and build houses? 684 00:30:45,090 --> 00:30:47,710 Speaker 7: Well, the challenge is state and local. You have to 685 00:30:47,750 --> 00:30:49,750 Speaker 7: get past the legislators. 686 00:30:49,110 --> 00:30:50,770 Speaker 1: And you need to change the zoning. 687 00:30:51,130 --> 00:30:54,020 Speaker 7: Like Mayor Adams was successful in getting the city of 688 00:30:54,040 --> 00:30:56,240 Speaker 7: Yes passed and we got more zoning in New York City. 689 00:30:56,560 --> 00:30:59,000 Speaker 7: We need more people that are willing to communicate and 690 00:30:59,040 --> 00:31:01,850 Speaker 7: work together. It shouldn't be what flag you wave. We 691 00:31:01,880 --> 00:31:04,330 Speaker 7: should just vote for good policies. And we have the 692 00:31:04,370 --> 00:31:07,030 Speaker 7: midterms coming up, and people are thinking about the economy, 693 00:31:07,070 --> 00:31:11,140 Speaker 7: but every politician should be talking about housing affordability. How 694 00:31:11,160 --> 00:31:13,140 Speaker 7: do we get more supply in the market? Those are 695 00:31:13,160 --> 00:31:15,540 Speaker 7: the most important things today for Americans. But they can't 696 00:31:15,580 --> 00:31:18,550 Speaker 7: solve that on their own, right? That becomes something very local, 697 00:31:19,070 --> 00:31:21,930 Speaker 7: and there's a lot of opponents and proponents. 698 00:31:21,950 --> 00:31:24,010 Speaker 1: There's a lot of nimbyism. I mean, it's a mess, 699 00:31:24,030 --> 00:31:25,470 Speaker 1: and it doesn't get solved anytime soon. 700 00:31:25,550 --> 00:31:27,520 Speaker 7: No, but it gets solved if people are willing to 701 00:31:27,580 --> 00:31:30,300 Speaker 7: just drop their flags and come together and talk and say, 702 00:31:30,320 --> 00:31:32,680 Speaker 7: how do we solve these problems? We have to stop 703 00:31:32,740 --> 00:31:34,080 Speaker 7: this sort of ridiculousness. 704 00:31:35,060 --> 00:31:36,120 Speaker 3: I look, Bess, at. 705 00:31:37,060 --> 00:31:40,020 Speaker 2: Some of the critics who say the kids aren't sacrificing. 706 00:31:40,060 --> 00:31:41,640 Speaker 3: They've got to do this. They've got to do that. 707 00:31:41,660 --> 00:31:45,090 Speaker 2: They're not saving their pennies to get the 20% down payment. 708 00:31:45,310 --> 00:31:47,010 Speaker 2: We're really beyond that now, aren't we? 709 00:31:47,030 --> 00:31:50,490 Speaker 7: Way past that. I mean, the wages can't even keep 710 00:31:50,670 --> 00:31:52,250 Speaker 7: up with what they would have to pay to buy 711 00:31:52,270 --> 00:31:55,000 Speaker 7: a home. It's just not affordable today for them. They 712 00:31:55,040 --> 00:31:55,820 Speaker 7: can't pay their rent. 713 00:31:55,840 --> 00:31:55,940 Speaker 11: Right. 714 00:31:56,400 --> 00:31:58,440 Speaker 7: I mean, a lot of my daughter's friends, their parents 715 00:31:58,480 --> 00:32:01,000 Speaker 7: are helping them to pay their rent today. It's a 716 00:32:01,080 --> 00:32:04,380 Speaker 7: tough environment for young people today. And so we have 717 00:32:04,420 --> 00:32:07,450 Speaker 7: to figure out solutions. It's our job to... We're the adults. 718 00:32:07,530 --> 00:32:08,850 Speaker 7: We need to come up with solutions. 719 00:32:09,130 --> 00:32:10,750 Speaker 1: You talked about how your parents bought a house when 720 00:32:10,770 --> 00:32:12,430 Speaker 1: they were in their 20s. There are a lot of 721 00:32:12,470 --> 00:32:15,490 Speaker 1: baby boomers that have homes, multiple homes, in fact. And 722 00:32:15,510 --> 00:32:18,459 Speaker 1: they have real assets that have appreciated a lot in value. 723 00:32:18,900 --> 00:32:22,800 Speaker 1: When they're passing, what happens... to that portfolio of houses 724 00:32:23,140 --> 00:32:25,300 Speaker 1: I mean do they get left to the kids left 725 00:32:25,320 --> 00:32:28,020 Speaker 1: to the grandkids I mean. 726 00:32:27,460 --> 00:32:31,410 Speaker 7: Obviously it's very circumstantial depending on but many times they'll 727 00:32:31,430 --> 00:32:33,230 Speaker 7: sell them and make a lot of money or it'll 728 00:32:33,270 --> 00:32:35,230 Speaker 7: go to the family and the family will sell it 729 00:32:35,330 --> 00:32:38,290 Speaker 7: it just depends on the person's circumstances but they made 730 00:32:38,370 --> 00:32:41,210 Speaker 7: enormous sums of money and having a home was a 731 00:32:41,230 --> 00:32:43,470 Speaker 7: big part of it it's a commitment to your future 732 00:32:43,560 --> 00:32:45,120 Speaker 7: and economic security for. 733 00:32:45,020 --> 00:32:47,600 Speaker 2: People For people that rent, they have to get into 734 00:32:47,640 --> 00:32:50,610 Speaker 2: a mindset of saying, I'm not going to get home appreciation. 735 00:32:50,620 --> 00:32:53,490 Speaker 2: I've got to rent, and I've also got to save, 736 00:32:53,530 --> 00:32:57,219 Speaker 2: whether it's retirement plan 401k, or frankly, accounts outside that. 737 00:32:57,440 --> 00:32:58,580 Speaker 2: Do you see that happening? 738 00:32:59,740 --> 00:33:03,250 Speaker 7: I don't see that enough happening. And I think, I 739 00:33:03,310 --> 00:33:07,830 Speaker 7: wish that more people were buying versus renting because you're literally, unfortunately, 740 00:33:08,130 --> 00:33:11,150 Speaker 7: throwing your money out the window. Now, if you're testing 741 00:33:11,210 --> 00:33:13,080 Speaker 7: a market and you're going to be there temporarily, I 742 00:33:13,100 --> 00:33:15,140 Speaker 7: totally get it. But if you plan to live in 743 00:33:15,160 --> 00:33:18,100 Speaker 7: a place, if you can, ideally, you want to buy 744 00:33:18,160 --> 00:33:19,660 Speaker 7: something and build equity. 745 00:33:19,720 --> 00:33:20,640 Speaker 3: So many people can't. 746 00:33:20,860 --> 00:33:24,070 Speaker 7: I know, but that is the very issue that we 747 00:33:24,110 --> 00:33:25,330 Speaker 7: have today in front of us. 748 00:33:25,410 --> 00:33:27,510 Speaker 1: For those who do have the means to buy a place, 749 00:33:28,370 --> 00:33:29,930 Speaker 1: they go to a broker and they look at the 750 00:33:29,990 --> 00:33:33,090 Speaker 1: listings to see what's available. There's a thing called private listings. 751 00:33:33,130 --> 00:33:35,110 Speaker 1: How big of a deal is this where you don't 752 00:33:35,150 --> 00:33:38,070 Speaker 1: have access to the houses that are available, those apartments 753 00:33:38,090 --> 00:33:39,730 Speaker 1: that are available that other people do? 754 00:33:39,870 --> 00:33:41,620 Speaker 7: I mean, I think it's a huge issue. I mean, 755 00:33:41,650 --> 00:33:43,860 Speaker 7: if we think about fair housing, we don't want to 756 00:33:43,900 --> 00:33:47,560 Speaker 7: dismantle fair housing laws. And fair housing is not about 757 00:33:47,640 --> 00:33:49,160 Speaker 7: the intent of the policy. 758 00:33:49,240 --> 00:33:50,320 Speaker 4: It's about the impact. 759 00:33:50,720 --> 00:33:53,140 Speaker 7: And if people can't get access to homes, it's gonna 760 00:33:53,180 --> 00:33:56,260 Speaker 7: have a very bad impact on minorities. Derek Johnson, the 761 00:33:56,300 --> 00:34:00,090 Speaker 7: president of the NAACP, spoke specifically about this in his 762 00:34:00,160 --> 00:34:03,650 Speaker 7: piece in Time. And I think access to housing is crucial. 763 00:34:03,690 --> 00:34:06,370 Speaker 7: We just talked about having a housing affordability crisis. 764 00:34:06,830 --> 00:34:08,069 Speaker 1: This is a real problem. 765 00:34:08,230 --> 00:34:10,330 Speaker 7: And let me ask you, if you were buying a home, 766 00:34:10,810 --> 00:34:12,770 Speaker 7: Would you want to know how many days the home 767 00:34:12,790 --> 00:34:13,470 Speaker 7: was on the market? 768 00:34:13,590 --> 00:34:14,050 Speaker 3: Absolutely. 769 00:34:14,239 --> 00:34:15,359 Speaker 1: Well, that's what they're doing. 770 00:34:15,400 --> 00:34:18,320 Speaker 7: They are hiding that information with the private listing networks. 771 00:34:18,340 --> 00:34:20,600 Speaker 7: They're saying that the days on market. 772 00:34:20,980 --> 00:34:23,830 Speaker 2: I'm going to interrupt. This is so important. I look 773 00:34:23,870 --> 00:34:26,569 Speaker 2: at other countries' real estate, and we're heading back to 774 00:34:26,590 --> 00:34:28,790 Speaker 2: the opaqueness. of those other countries. 775 00:34:28,830 --> 00:34:29,350 Speaker 3: Thank you. 776 00:34:29,570 --> 00:34:32,170 Speaker 1: And that's 100%. 777 00:34:32,170 --> 00:34:35,550 Speaker 2: We're retreating back to what I see in other nations. 100%. 778 00:34:35,550 --> 00:34:39,120 Speaker 7: And that's why we've been raising alarm bells and saying, look, 779 00:34:39,480 --> 00:34:42,540 Speaker 7: this is not helpful. I mean, there are investigations going on, 780 00:34:42,980 --> 00:34:45,420 Speaker 7: but this is a policy or platform that is super 781 00:34:45,480 --> 00:34:48,840 Speaker 7: dangerous to fair housing, to affordability, to everything that matters. 782 00:34:49,140 --> 00:34:52,200 Speaker 7: And we should not allow these private listing networks to exist. 783 00:34:52,719 --> 00:34:54,469 Speaker 2: We've got our books out today, and we did it 784 00:34:54,510 --> 00:34:55,850 Speaker 2: on real estate for Bess. 785 00:34:55,910 --> 00:34:56,890 Speaker 3: We've been here. 786 00:34:57,270 --> 00:35:00,930 Speaker 2: Scarlett, why don't you start with your piercingly wonderful book? 787 00:35:00,969 --> 00:35:03,450 Speaker 1: Well, Bess mentioned zoning and how that's a big deal. 788 00:35:03,560 --> 00:35:04,759 Speaker 3: No, no, no. 789 00:35:04,820 --> 00:35:06,540 Speaker 1: It's not boring because my book is called- It is 790 00:35:06,560 --> 00:35:07,200 Speaker 1: a little boring. 791 00:35:07,320 --> 00:35:07,660 Speaker 9: No, no, no. 792 00:35:07,700 --> 00:35:08,000 Speaker 2: Book is? 793 00:35:08,040 --> 00:35:09,500 Speaker 1: I'm going to connect it, right? 794 00:35:09,540 --> 00:35:09,779 Speaker 9: Okay. 795 00:35:09,800 --> 00:35:12,570 Speaker 1: My book is Paved Paradise, How Parking Explains the World 796 00:35:12,610 --> 00:35:15,350 Speaker 1: by Henry Graybar. And full disclosure, this book is on 797 00:35:15,390 --> 00:35:17,500 Speaker 1: my reading list, so I have not yet started it. 798 00:35:17,590 --> 00:35:20,170 Speaker 1: But the basic thesis here is that Americans expect parking 799 00:35:20,210 --> 00:35:24,339 Speaker 1: to be convenient, available, and free. So that leaves the U.S. over-parked, 800 00:35:24,500 --> 00:35:28,500 Speaker 1: lots of parking, and under-housed. That's another contributing factor to 801 00:35:28,520 --> 00:35:30,180 Speaker 1: the fact that we have limited supply. 802 00:35:30,239 --> 00:35:32,700 Speaker 7: Yeah, a lot of economists and people talk about this, 803 00:35:32,719 --> 00:35:35,110 Speaker 7: that that could help if we could build more housing 804 00:35:35,130 --> 00:35:37,790 Speaker 7: in those areas near MTA state where people can get 805 00:35:37,830 --> 00:35:40,330 Speaker 7: to public transportation. We don't need to have so many 806 00:35:40,370 --> 00:35:41,590 Speaker 7: cars and so much parking. 807 00:35:41,630 --> 00:35:44,219 Speaker 1: We need more homes. There are rules in certain cities 808 00:35:44,260 --> 00:35:47,020 Speaker 1: that require new housing developments to build a minimum number 809 00:35:47,060 --> 00:35:50,340 Speaker 1: of parking spaces. And so this simultaneously raises the cost 810 00:35:50,400 --> 00:35:53,339 Speaker 1: of construction and then gives NIMBY people a reason to 811 00:35:53,400 --> 00:35:54,320 Speaker 1: object to new developments. 812 00:35:54,340 --> 00:35:56,190 Speaker 2: And that's one of the ideas that they're working with, 813 00:35:56,210 --> 00:35:58,910 Speaker 2: trying to get a little more uh a little more 814 00:35:58,969 --> 00:36:02,910 Speaker 2: done because Bess Friedman is here mine is on home 815 00:36:02,950 --> 00:36:05,279 Speaker 2: design can you see me on a ladder like a 816 00:36:05,360 --> 00:36:05,960 Speaker 2: threat to. 817 00:36:05,860 --> 00:36:08,500 Speaker 3: Society what do you do if you're dealing with the 818 00:36:08,560 --> 00:36:09,080 Speaker 3: Upper East. 819 00:36:09,020 --> 00:36:14,460 Speaker 2: Side and Bess Farrow and Ball recipes for decorating Bess 820 00:36:14,480 --> 00:36:16,410 Speaker 2: has been in their seven I think it's the 70th 821 00:36:16,450 --> 00:36:20,190 Speaker 2: street office so many times and I'm sorry what it's 822 00:36:20,270 --> 00:36:24,070 Speaker 2: about it's about the color I mean, you look, the color, 823 00:36:24,110 --> 00:36:25,860 Speaker 2: you know, each color tells a story. 824 00:36:25,930 --> 00:36:28,500 Speaker 4: Oh, color with a U-L-O-U-R. 825 00:36:28,719 --> 00:36:32,279 Speaker 1: Oh, color. This is a new vocabulary. 826 00:36:32,300 --> 00:36:34,640 Speaker 2: John Farrow told me that, you know, it's not Saturday 827 00:36:34,660 --> 00:36:37,270 Speaker 2: Night Live. John Farrow, I said, John's British and Farrow 828 00:36:37,330 --> 00:36:39,290 Speaker 2: and Ball is very British. I said, John, I said, 829 00:36:39,330 --> 00:36:40,130 Speaker 2: how do you pronounce it? 830 00:36:40,170 --> 00:36:41,730 Speaker 3: John said, color. I said, okay. 831 00:36:41,770 --> 00:36:42,130 Speaker 2: Okay. 832 00:36:43,550 --> 00:36:46,310 Speaker 3: I mean, everybody has to redecorate, right? The fancy people. 833 00:36:46,489 --> 00:36:49,279 Speaker 7: Yes, the fancy people. Yes, and they have to say 834 00:36:49,320 --> 00:36:50,520 Speaker 7: color instead of color. 835 00:36:50,580 --> 00:36:51,160 Speaker 1: Apparently. 836 00:36:51,180 --> 00:36:52,620 Speaker 4: That's the way it works. Yes. 837 00:36:52,980 --> 00:36:56,060 Speaker 1: So this book treats paint and color choices like cooking recipes. 838 00:36:56,280 --> 00:36:57,779 Speaker 1: Fair and bold. Like a formula you can follow. 839 00:36:57,800 --> 00:37:00,590 Speaker 2: It started in Dorset, and their magic was they didn't 840 00:37:00,790 --> 00:37:03,930 Speaker 2: use chemicals. They used soil, dirt. They would charcoal it 841 00:37:04,010 --> 00:37:06,870 Speaker 2: and all that. And it used to be reasonably priced. 842 00:37:07,070 --> 00:37:10,090 Speaker 2: Over the years, thank you to Mr. Trump's tariffs as well, 843 00:37:10,870 --> 00:37:14,510 Speaker 2: is to the Saturday Night Live spoof. It's outrageously expensive. 844 00:37:14,550 --> 00:37:16,970 Speaker 2: The only people that can use this stuff are people 845 00:37:17,030 --> 00:37:18,120 Speaker 2: that deal with Bess Friedman. 846 00:37:18,760 --> 00:37:19,350 Speaker 3: I mean, that's it. 847 00:37:19,400 --> 00:37:22,240 Speaker 1: Bess Friedman deals with everybody. She likes everybody. 848 00:37:22,260 --> 00:37:25,180 Speaker 7: I work with everyone. Even the people who like Kalor. 849 00:37:26,880 --> 00:37:29,299 Speaker 1: What color would you paint your north-facing room versus your 850 00:37:29,340 --> 00:37:30,340 Speaker 1: south-facing room? 851 00:37:31,010 --> 00:37:34,390 Speaker 2: Well, that's actually a sophisticated discussion. I mean, the fancy 852 00:37:34,410 --> 00:37:36,590 Speaker 2: people in Fifth Avenue will have six shades of white. 853 00:37:36,690 --> 00:37:39,580 Speaker 1: There you go. No, six shades of, like, eggshell, not white. 854 00:37:39,600 --> 00:37:39,920 Speaker 3: That's right. 855 00:37:39,940 --> 00:37:41,239 Speaker 4: It's eggshell. That's correct. 856 00:37:41,300 --> 00:37:42,500 Speaker 3: Excuse me. I'm out of touch. 857 00:37:42,600 --> 00:37:43,000 Speaker 1: Off-white. 858 00:37:43,120 --> 00:37:43,500 Speaker 3: Off-white. 859 00:37:44,000 --> 00:37:45,259 Speaker 1: Bess, thank you so much for joining us. 860 00:37:45,260 --> 00:37:45,440 Speaker 11: So fun. 861 00:37:45,480 --> 00:37:46,859 Speaker 3: You guys are wonderful. We'll do it again. 862 00:37:46,880 --> 00:37:49,489 Speaker 1: Thanks, guys. Bess Friedman, CEO of Brown Harris Stevens. And 863 00:37:49,530 --> 00:37:52,730 Speaker 1: for the latest reviews and recommendations from Bloomberg, be sure 864 00:37:52,770 --> 00:37:56,650 Speaker 1: to subscribe to the On Books newsletter. Bess, come back anytime. 865 00:37:57,010 --> 00:38:00,210 Speaker 1: You guys are so fun. Coming up, the NBA season 866 00:38:00,250 --> 00:38:04,820 Speaker 1: begins on Tuesday. The Knicks begin their title defense. 867 00:38:04,950 --> 00:38:07,890 Speaker 3: Tom? $ 61, 000. 868 00:38:06,090 --> 00:38:09,640 Speaker 2: For two tickets where you want to sit. Just by Jalen. 869 00:38:09,920 --> 00:38:11,480 Speaker 1: Have we pulled the trigger yet? Are we doing it? 870 00:38:11,480 --> 00:38:12,500 Speaker 3: No, we're not. We're looking. 871 00:38:12,540 --> 00:38:14,339 Speaker 2: Alexis Christophorus may go. 872 00:38:14,500 --> 00:38:14,820 Speaker 1: Okay. 873 00:38:14,900 --> 00:38:15,380 Speaker 2: All right. 874 00:38:15,480 --> 00:38:16,830 Speaker 1: Well, we'll see how it all shakes out. 875 00:38:18,270 --> 00:38:21,330 Speaker 2: You're listening to Bloomberg Money. Stay with us with more 876 00:38:21,350 --> 00:38:29,259 Speaker 2: to come after this. Bloomberg Money here on Personal Finance, Retirement, 877 00:38:29,300 --> 00:38:30,219 Speaker 2: Wealth Management. 878 00:38:30,500 --> 00:38:33,450 Speaker 3: I've got to say this again, CoreWeave. Good morning, Ed Ludlow. 879 00:38:33,870 --> 00:38:35,930 Speaker 2: And a good afternoon. 880 00:38:35,530 --> 00:38:36,290 Speaker 3: To Ed Ludlow. 881 00:38:36,370 --> 00:38:38,910 Speaker 2: What a week for him on technology. I've got to 882 00:38:38,950 --> 00:38:41,950 Speaker 2: say it because I called it CrossWeave this morning. CrossWeave? 883 00:38:41,969 --> 00:38:44,239 Speaker 3: CrossWeave. Yeah, I nailed it. CoreWeave here down $ 7. 884 00:38:44,160 --> 00:38:46,899 Speaker 1: Yeah, well, it's been a brutal week for CoreWeave. 885 00:38:46,940 --> 00:38:48,399 Speaker 3: That's as much tech as we're doing today. 886 00:38:48,460 --> 00:38:48,970 Speaker 4: That is it. 887 00:38:49,040 --> 00:38:52,710 Speaker 1: OK, let's move on to basketball because the world champion 888 00:38:52,770 --> 00:38:55,150 Speaker 1: New York Knicks begin their season on Tuesday. 889 00:38:55,310 --> 00:38:55,830 Speaker 2: Yay. 890 00:38:56,770 --> 00:38:58,489 Speaker 1: And it's going to be huge. They're going to take 891 00:38:58,650 --> 00:39:01,800 Speaker 1: on the Philadelphia 76ers. And Lisa Mateo is here with 892 00:39:01,910 --> 00:39:03,960 Speaker 1: us to look ahead to all of this. She is 893 00:39:03,980 --> 00:39:06,219 Speaker 1: co-host of Bloomberg This Weekend. I know you've been doing 894 00:39:06,260 --> 00:39:08,299 Speaker 1: a lot of reporting around this. Yes, yes, yes. 895 00:39:08,340 --> 00:39:11,520 Speaker 9: I mean, it's the Sixers. It's LeBron in a Sixers jersey. 896 00:39:11,800 --> 00:39:12,759 Speaker 9: The next, the same day. 897 00:39:12,780 --> 00:39:13,580 Speaker 1: Titan versus Titan. 898 00:39:13,660 --> 00:39:16,070 Speaker 9: Yes, and like the same day, they're hiding up that 899 00:39:16,410 --> 00:39:18,810 Speaker 9: championship banner to the top of Madison Square Garden. So 900 00:39:18,950 --> 00:39:21,290 Speaker 9: everybody's out there. I took a little sneak peek because 901 00:39:21,330 --> 00:39:23,930 Speaker 9: a girl can dream. Okay, went on StubHub. Courtside, you 902 00:39:23,950 --> 00:39:25,109 Speaker 9: can still get $ 19, 000 tickets. 903 00:39:25,190 --> 00:39:25,750 Speaker 4: Oh, my God. 904 00:39:26,090 --> 00:39:28,810 Speaker 1: Okay, and even at the way top, $ 1, 100. That's the cheapest. 905 00:39:30,270 --> 00:39:30,930 Speaker 4: That it's going to go. 906 00:39:30,950 --> 00:39:33,280 Speaker 1: The cheap seats are $ 1, 100. Cheap seats are $ 1, 100. 907 00:39:33,140 --> 00:39:36,000 Speaker 2: You look down at the court, it's like Jupiter in 908 00:39:36,060 --> 00:39:37,779 Speaker 2: the western sky at night. 909 00:39:37,800 --> 00:39:38,600 Speaker 3: It's crazy. 910 00:39:39,060 --> 00:39:41,160 Speaker 9: But, you know, this is what we're talking about on 911 00:39:41,180 --> 00:39:43,299 Speaker 9: Bloomberg this weekend. It is all about the merch, right? 912 00:39:43,320 --> 00:39:43,440 Speaker 11: Mm-hmm. 913 00:39:43,739 --> 00:39:47,100 Speaker 9: And it is the growing woman sports fan. And that's 914 00:39:47,140 --> 00:39:50,120 Speaker 9: kind of what we're focusing on. Because women have the 915 00:39:50,180 --> 00:39:53,480 Speaker 9: buying power. They love to shop. There's more women watching. 916 00:39:53,520 --> 00:39:56,200 Speaker 9: The fans are growing. So I sat down. Her name 917 00:39:56,260 --> 00:40:01,310 Speaker 9: is Zara Therese Tish. And she is owner of this company, Therese. 918 00:40:01,330 --> 00:40:04,750 Speaker 9: They're an activewear company. But she has the licensing with 919 00:40:04,810 --> 00:40:08,630 Speaker 9: about 100 teams. So she does the NHL, the MLB, 920 00:40:08,690 --> 00:40:10,990 Speaker 9: the NFL. All the teams. 921 00:40:11,090 --> 00:40:12,330 Speaker 4: Plus she does WNBA sports. 922 00:40:12,790 --> 00:40:14,350 Speaker 9: She does some of the National Women's Soccer League. 923 00:40:14,370 --> 00:40:16,239 Speaker 1: So she's designing it or her team is designing it? 924 00:40:16,260 --> 00:40:18,010 Speaker 9: So she is designing it. Her team is designing it. 925 00:40:18,680 --> 00:40:21,160 Speaker 9: And they put out, you know, all the collection out there. Now, 926 00:40:21,200 --> 00:40:22,280 Speaker 9: this is high-end merch. 927 00:40:22,340 --> 00:40:23,100 Speaker 4: Just want to let you know. 928 00:40:23,180 --> 00:40:25,020 Speaker 9: Like a tank top will run you about $ 70. The 929 00:40:25,040 --> 00:40:29,590 Speaker 9: bomber jacket, which I loved. It's going to be about $ 350. 930 00:40:29,130 --> 00:40:31,589 Speaker 1: And that's a New York Giants t-shirt or hoodie. And 931 00:40:31,610 --> 00:40:34,310 Speaker 1: that's because her husband is David Tisch? 932 00:40:34,550 --> 00:40:36,649 Speaker 9: Yeah, well, her husband is David Tisch, so he has 933 00:40:36,690 --> 00:40:40,049 Speaker 9: that family history line, you know, to the Tisch family. 934 00:40:40,150 --> 00:40:42,610 Speaker 9: It was his great uncle that actually bought the New 935 00:40:42,650 --> 00:40:43,910 Speaker 9: York Giants way back in the day. 936 00:40:43,969 --> 00:40:45,680 Speaker 1: So this is not just pink it and shrink it. 937 00:40:45,730 --> 00:40:47,330 Speaker 1: This is, like, designed for women. 938 00:40:47,350 --> 00:40:50,810 Speaker 9: This is designed for women by women. And it's not, like, 939 00:40:50,950 --> 00:40:52,450 Speaker 9: just pink. You know how we come out and it's, like, 940 00:40:52,550 --> 00:40:54,390 Speaker 9: either pink or in the back of the day you 941 00:40:54,410 --> 00:40:56,690 Speaker 9: had to go and, like, wear your husband's jersey because 942 00:40:56,710 --> 00:40:58,180 Speaker 9: they didn't have anything for the child. 943 00:40:58,320 --> 00:40:59,740 Speaker 4: This is a little bit different. 944 00:40:59,780 --> 00:41:01,340 Speaker 9: So it's like sequence. 945 00:41:01,380 --> 00:41:02,739 Speaker 1: It's all these type of different things. 946 00:41:02,800 --> 00:41:04,779 Speaker 9: But because you have to go, you go to a 947 00:41:04,780 --> 00:41:06,960 Speaker 9: Knicks game and you think about it, it's a fashion show. Oh, 948 00:41:06,980 --> 00:41:07,359 Speaker 9: it is. 949 00:41:08,060 --> 00:41:09,759 Speaker 1: Tom, I think it's time for us to check out 950 00:41:09,800 --> 00:41:11,250 Speaker 1: the merch at the New York Knicks game. 951 00:41:11,550 --> 00:41:13,109 Speaker 2: I've already checked it out. 952 00:41:13,150 --> 00:41:15,770 Speaker 3: We have custom made Jalen shoes. 953 00:41:16,010 --> 00:41:18,990 Speaker 1: Lisa Mateo, thank you. Be sure to catch Bloomberg this weekend, 954 00:41:19,030 --> 00:41:20,209 Speaker 1: every Saturday and Sunday morning. 955 00:41:28,110 --> 00:41:31,750 Speaker 2: This is the Bloomberg Money Podcast, bringing you a smart 956 00:41:31,790 --> 00:41:35,750 Speaker 2: look at the forces shaping your financial life. I'm Tom 957 00:41:35,810 --> 00:41:39,030 Speaker 2: Keen with Scarlett Fu. You can watch the show live 958 00:41:39,430 --> 00:41:42,890 Speaker 2: on Bloomberg TV every Friday at noon Wall Street time. 959 00:41:43,370 --> 00:41:47,879 Speaker 2: Subscribe to the podcast on Apple, Spotify, or wherever you listen. 960 00:41:48,320 --> 00:41:51,580 Speaker 2: And as always, on the Bloomberg Terminal and the Bloomberg 961 00:41:51,640 --> 00:41:56,020 Speaker 2: Business app. Thank you.