1 00:00:02,520 --> 00:00:13,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. This is the Bloomberg 2 00:00:13,840 --> 00:00:17,920 Speaker 1: Surveillance Podcast. Catch us live weekdays at seven am Eastern 3 00:00:18,200 --> 00:00:22,000 Speaker 1: on Apple CarPlay or Android Auto with the Bloomberg Business App. 4 00:00:22,360 --> 00:00:25,680 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:25,760 --> 00:00:27,200 Speaker 1: us live on YouTube. 6 00:00:27,600 --> 00:00:30,080 Speaker 2: Joining us Chief, where are we economists at? 7 00:00:30,160 --> 00:00:35,000 Speaker 3: EIU Constance owner joins us After a good conversation last week, 8 00:00:35,159 --> 00:00:37,360 Speaker 3: it seems like three months as we last talked to you, 9 00:00:37,400 --> 00:00:39,080 Speaker 3: I think it was two cups of coffee. 10 00:00:39,320 --> 00:00:41,959 Speaker 4: It's I mean, that is it only Tuesday? 11 00:00:42,040 --> 00:00:42,240 Speaker 2: Yeah? 12 00:00:42,400 --> 00:00:46,560 Speaker 3: On a day to day basis, how do you sustain 13 00:00:46,720 --> 00:00:47,720 Speaker 3: your analysis? 14 00:00:47,760 --> 00:00:51,440 Speaker 4: So, as Lisa was giving her excellent rundown, I was 15 00:00:51,479 --> 00:00:53,880 Speaker 4: thinking about how we spent all of yesterday looking at 16 00:00:53,920 --> 00:00:55,360 Speaker 4: the pharma codes. 17 00:00:55,680 --> 00:00:56,840 Speaker 5: So there's two codes. 18 00:00:56,880 --> 00:00:59,600 Speaker 4: There's the codes that start with the number thirty that 19 00:00:59,680 --> 00:01:01,400 Speaker 4: are all sort of the finalized goods. 20 00:01:01,560 --> 00:01:03,319 Speaker 5: There's the codes that start with the. 21 00:01:03,320 --> 00:01:06,160 Speaker 4: Number twenty nine, and those are all the goods that 22 00:01:06,319 --> 00:01:09,560 Speaker 4: the intermediate goods that go into pharma. And of course 23 00:01:09,560 --> 00:01:13,800 Speaker 4: Trump is threatening these pharma tariffs, and we're trying to 24 00:01:13,800 --> 00:01:16,920 Speaker 4: get ahead of this by like really just ingesting all 25 00:01:16,959 --> 00:01:19,080 Speaker 4: the codes, thinking about what the impacts would be. 26 00:01:19,160 --> 00:01:21,959 Speaker 3: The bottom line is he may screw up our feed 27 00:01:22,160 --> 00:01:24,320 Speaker 3: of antibiotic materials. 28 00:01:24,640 --> 00:01:25,800 Speaker 6: That's what we're talking about. 29 00:01:26,080 --> 00:01:28,120 Speaker 4: Yes, I mean when you put tariffs on like this 30 00:01:28,160 --> 00:01:30,720 Speaker 4: and we basically embargoed China, there is not going to 31 00:01:30,760 --> 00:01:34,120 Speaker 4: be any more supply of many, many goods from China. Right, 32 00:01:34,440 --> 00:01:37,920 Speaker 4: we do that to pharmaceuticals. It's a very dangerous game 33 00:01:37,959 --> 00:01:40,199 Speaker 4: to play in an ad hoc way. 34 00:01:40,360 --> 00:01:43,760 Speaker 7: So you put all this stuff in a blender, and 35 00:01:43,959 --> 00:01:45,920 Speaker 7: I don't know what goes in this blender anymore, But 36 00:01:46,520 --> 00:01:48,200 Speaker 7: what does it do to your economic forecast? 37 00:01:48,320 --> 00:01:51,240 Speaker 6: Do you even? I guess you have to keep so. 38 00:01:51,640 --> 00:01:58,200 Speaker 4: Obviously we keep analyzing and expanding our modalities for analyzing 39 00:01:58,240 --> 00:02:00,720 Speaker 4: what the weighted average tarif rate is. But what we 40 00:02:00,840 --> 00:02:04,360 Speaker 4: have and this is this is almost stupidly simple. But 41 00:02:04,440 --> 00:02:06,960 Speaker 4: what we have done is we've looked at the uncertainty 42 00:02:07,000 --> 00:02:09,760 Speaker 4: index that Baker and Bloom put out from Stanford. Now, 43 00:02:10,040 --> 00:02:12,440 Speaker 4: one of the bases of that index is actually the 44 00:02:12,440 --> 00:02:16,560 Speaker 4: EIU database are written works over the last thirty years. 45 00:02:16,760 --> 00:02:17,760 Speaker 5: That's one component. 46 00:02:17,880 --> 00:02:22,600 Speaker 4: Another component is the change in tax code that's anticipated 47 00:02:22,639 --> 00:02:24,959 Speaker 4: over the next two years. Obviously, we have the TCJA 48 00:02:25,080 --> 00:02:27,760 Speaker 4: coming up that leads to a lot of uncertainty and 49 00:02:27,800 --> 00:02:31,760 Speaker 4: then the dispersion of economic forecasts. And when you use 50 00:02:31,840 --> 00:02:35,280 Speaker 4: this index, you can see that it is correlated with recessions. 51 00:02:35,560 --> 00:02:38,720 Speaker 5: You know that those recessions weren't we didn't we were. 52 00:02:38,800 --> 00:02:41,960 Speaker 4: They were called after the fact as NBER does, and 53 00:02:42,120 --> 00:02:45,240 Speaker 4: probably that data ended up being revised down. So we 54 00:02:45,360 --> 00:02:50,160 Speaker 4: know that this forecasts and corresponds with a reduction in capex, 55 00:02:50,760 --> 00:02:53,560 Speaker 4: a reduction in consumer spending, and of course those two 56 00:02:53,639 --> 00:02:58,440 Speaker 4: things together mean lower employment growth eventually declines in employment. 57 00:02:58,560 --> 00:03:02,280 Speaker 3: Okay, where are you on jobs? The elasticity of all 58 00:03:02,320 --> 00:03:06,800 Speaker 3: of these emotions, crisis. Whatever our listeners and viewers think, 59 00:03:07,240 --> 00:03:10,320 Speaker 3: the bottom line is, I'm sorry, if I'm elected free beer. 60 00:03:10,360 --> 00:03:12,000 Speaker 2: It comes back to jobs, right. 61 00:03:11,919 --> 00:03:16,320 Speaker 3: Yeah, When to claims pop or other series, the constance 62 00:03:16,400 --> 00:03:17,720 Speaker 3: hunter looks at yeah. 63 00:03:17,560 --> 00:03:21,079 Speaker 4: And I mean, we're expecting somewhat softer jobs in the 64 00:03:21,280 --> 00:03:23,600 Speaker 4: in the April report, but that's going to be a 65 00:03:23,600 --> 00:03:26,000 Speaker 4: really critical factor, I think, and when the Fed can 66 00:03:26,040 --> 00:03:28,799 Speaker 4: actually go ahead and move rates, right, so as long 67 00:03:28,840 --> 00:03:31,040 Speaker 4: as jobs are holding in there, and of course we 68 00:03:31,120 --> 00:03:35,680 Speaker 4: know it's at best a coincidence indicator, probably a lagging 69 00:03:35,680 --> 00:03:38,800 Speaker 4: indicator in many instances, but they are still going to 70 00:03:39,200 --> 00:03:41,240 Speaker 4: wait to see some weakness. So we're going to look 71 00:03:41,240 --> 00:03:43,360 Speaker 4: at things like ours worked. We're going to look at 72 00:03:43,400 --> 00:03:46,720 Speaker 4: the diffusion index. We're going to look at the composition 73 00:03:46,800 --> 00:03:48,960 Speaker 4: of what types of jobs are being created, because state 74 00:03:49,000 --> 00:03:51,040 Speaker 4: and local governments are probably going to pull back on 75 00:03:51,080 --> 00:03:53,320 Speaker 4: some of the hiring they've done. They did made up 76 00:03:53,480 --> 00:03:56,480 Speaker 4: makeup hiring over the last four years since the pandemic 77 00:03:56,480 --> 00:03:59,480 Speaker 4: because they were under hiring in all the years following 78 00:03:59,520 --> 00:04:00,920 Speaker 4: the globalinantle crisis. 79 00:04:02,040 --> 00:04:04,120 Speaker 6: Do you have a recession in your forecast? 80 00:04:04,160 --> 00:04:05,840 Speaker 5: We do have a recession in our forecast. 81 00:04:05,880 --> 00:04:08,000 Speaker 6: And how deep it is not so. 82 00:04:08,000 --> 00:04:11,200 Speaker 4: It is it is concentrated in the second and third quarters. 83 00:04:11,760 --> 00:04:13,520 Speaker 4: We do think the Fed ax. We think the FED 84 00:04:13,560 --> 00:04:17,320 Speaker 4: goes four times this year. But it really just depends 85 00:04:17,360 --> 00:04:19,960 Speaker 4: on if we can dampen down some of this uncertainty, 86 00:04:20,320 --> 00:04:22,560 Speaker 4: if they could, if they could come out and be 87 00:04:22,640 --> 00:04:24,840 Speaker 4: a little more clear in the way they. 88 00:04:24,760 --> 00:04:32,000 Speaker 3: Can economist, I mean, whatever anybody's political persuasions, Paul am 89 00:04:32,000 --> 00:04:34,080 Speaker 3: I right, we're hanging headline to headline. 90 00:04:34,440 --> 00:04:37,920 Speaker 4: Yes, nobody in companies can't plan, nobody does capex in 91 00:04:37,960 --> 00:04:38,560 Speaker 4: this environment. 92 00:04:38,640 --> 00:04:41,840 Speaker 3: Okay, Lisa to cut to the chase. China said we 93 00:04:41,880 --> 00:04:45,400 Speaker 3: want Seattle. Boeing does a ton of work with Cathay 94 00:04:45,480 --> 00:04:48,599 Speaker 3: Pacific in the rest and now they're saying we don't 95 00:04:48,640 --> 00:04:51,920 Speaker 3: even want the parts from Bowing. And I keep getting 96 00:04:51,920 --> 00:04:55,240 Speaker 3: notes from smart people saying it's a whole supply chain thing. 97 00:04:55,360 --> 00:04:58,320 Speaker 4: Yeah, and the supply chain is so integrated across borders 98 00:04:58,360 --> 00:04:59,880 Speaker 4: as well, right, I mean things. 99 00:05:00,360 --> 00:05:03,840 Speaker 3: We can't but we can't do manufacturing your shop ei 100 00:05:04,000 --> 00:05:07,800 Speaker 3: U owns saying analysis, what do you look at? 101 00:05:08,040 --> 00:05:10,400 Speaker 4: So we're looking at all the intermediate goods, right, So 102 00:05:10,400 --> 00:05:13,039 Speaker 4: if you think about even manufacturing in the US, even 103 00:05:13,040 --> 00:05:17,440 Speaker 4: the manufacturing we do here takes imported parts and puts 104 00:05:17,480 --> 00:05:19,359 Speaker 4: that into the final goods. 105 00:05:19,600 --> 00:05:19,800 Speaker 3: Right. 106 00:05:19,880 --> 00:05:23,120 Speaker 4: So this is this is like the policies of Juan 107 00:05:23,200 --> 00:05:27,120 Speaker 4: Peron in Argentina in nineteen forty five when he said, well, 108 00:05:27,279 --> 00:05:29,560 Speaker 4: we're just going to make everything here in Argentina, Like 109 00:05:29,640 --> 00:05:32,160 Speaker 4: if we keep going down this road, it does not end. 110 00:05:32,200 --> 00:05:34,960 Speaker 2: Well, that's the first time I've heard that. That's brilliant, man. 111 00:05:35,040 --> 00:05:38,120 Speaker 3: I saw Anne Marie in Buenos airesis last night. Yeah, 112 00:05:38,240 --> 00:05:40,120 Speaker 3: she had the red ball main thing guy, and I 113 00:05:40,120 --> 00:05:42,479 Speaker 3: think she looked like a Vina Yep. Yeah, you know, 114 00:05:42,520 --> 00:05:47,040 Speaker 3: I was looking at it's it's a Vina and she's 115 00:05:47,040 --> 00:05:47,400 Speaker 3: a pro. 116 00:05:47,440 --> 00:05:48,280 Speaker 2: She's very Madonna. 117 00:05:48,680 --> 00:05:50,760 Speaker 6: What do we do here with our labor market? 118 00:05:50,760 --> 00:05:50,920 Speaker 8: Here? 119 00:05:51,160 --> 00:05:54,440 Speaker 7: Do you fear that this were essentially a fully employed 120 00:05:54,480 --> 00:05:57,080 Speaker 7: labor market with low four percent unemployment? 121 00:05:57,240 --> 00:05:58,640 Speaker 6: Where do you think that goes? Oh? 122 00:05:58,680 --> 00:05:59,960 Speaker 5: I think it has to go higher. 123 00:06:00,240 --> 00:06:04,000 Speaker 4: And we have a pretty I would say tempered forecast 124 00:06:04,120 --> 00:06:06,440 Speaker 4: for the end of this year. If I were going 125 00:06:06,440 --> 00:06:08,240 Speaker 4: to guess, the risk is to the downside, right, So 126 00:06:08,279 --> 00:06:11,120 Speaker 4: we have it going up to four point six, I 127 00:06:11,160 --> 00:06:13,520 Speaker 4: think four point eight, and then you get into when 128 00:06:13,600 --> 00:06:14,880 Speaker 4: does it become nonlinear? 129 00:06:15,040 --> 00:06:15,200 Speaker 3: Right? 130 00:06:15,240 --> 00:06:17,680 Speaker 4: When does it go from four point eight up to 131 00:06:18,160 --> 00:06:19,000 Speaker 4: five point five? 132 00:06:19,480 --> 00:06:19,720 Speaker 9: Right? 133 00:06:19,800 --> 00:06:22,080 Speaker 5: And how quickly does that move happen? 134 00:06:22,120 --> 00:06:24,960 Speaker 4: Because that's what happens if you really get into a 135 00:06:25,040 --> 00:06:25,800 Speaker 4: vicious circle. 136 00:06:25,920 --> 00:06:27,720 Speaker 3: You're the first one I want to finish up with this. 137 00:06:27,839 --> 00:06:31,560 Speaker 3: You're the first one on air to bring up what 138 00:06:31,680 --> 00:06:34,080 Speaker 3: I'm focused on. And folks, this goes back to my 139 00:06:34,240 --> 00:06:37,960 Speaker 3: major in college and all that you know a long 140 00:06:38,000 --> 00:06:41,800 Speaker 3: time ago, and that is the pharmaceuticals. And I think 141 00:06:41,839 --> 00:06:44,000 Speaker 3: people are like, oh, one, I can't spell it and 142 00:06:44,040 --> 00:06:46,920 Speaker 3: it's too complicated, But the answer. 143 00:06:46,800 --> 00:06:49,320 Speaker 2: Is all of those pills we give our. 144 00:06:49,240 --> 00:06:53,400 Speaker 3: Family members, particularly our kids when they're sick, have materials 145 00:06:53,440 --> 00:06:56,320 Speaker 3: from China. That's an accurate statement, right. 146 00:06:56,480 --> 00:06:58,800 Speaker 4: And think of all the people we have an aging population. 147 00:06:58,960 --> 00:07:01,599 Speaker 4: Think of know a person over the age of sixty 148 00:07:01,640 --> 00:07:03,440 Speaker 4: that doesn't take at least one prescription a day. 149 00:07:03,880 --> 00:07:04,240 Speaker 5: Very few. 150 00:07:04,520 --> 00:07:09,159 Speaker 2: I've never confronted that. I mean, I mean, if I 151 00:07:09,200 --> 00:07:10,440 Speaker 2: look at this concert, I. 152 00:07:10,360 --> 00:07:13,200 Speaker 4: Put myself, I'm not over sixty, but I still I'm 153 00:07:13,200 --> 00:07:15,240 Speaker 4: at the age where I'm taking one medicine a day 154 00:07:15,280 --> 00:07:16,800 Speaker 4: at least you and Michael Backer. 155 00:07:16,840 --> 00:07:20,840 Speaker 3: But the bottom line constants Hunter is and I'm suggesting 156 00:07:20,880 --> 00:07:26,240 Speaker 3: here maybe exaggerating this pharmaceutical debate, it's way more than 157 00:07:26,320 --> 00:07:29,400 Speaker 3: just another press release or overlaw office statements. 158 00:07:30,560 --> 00:07:36,200 Speaker 4: Absolutely, it's really really significant. And when you combine that 159 00:07:36,280 --> 00:07:39,160 Speaker 4: with the fact that we withdrew from who that we're 160 00:07:39,560 --> 00:07:45,320 Speaker 4: gutting HH staff, it's really has significant ramifications. 161 00:07:45,520 --> 00:07:46,560 Speaker 5: Remember Robert Gordon. 162 00:07:46,880 --> 00:07:50,160 Speaker 4: One of the things Rise and Fall of American growth, 163 00:07:50,440 --> 00:07:54,080 Speaker 4: he cites five things that contributed to productivity of the 164 00:07:54,160 --> 00:07:57,600 Speaker 4: early nineteen hundreds of mid nineteen hundreds, and Nacillan is 165 00:07:57,640 --> 00:08:01,000 Speaker 4: one of them. Why Because medicine help people get sick. 166 00:08:01,120 --> 00:08:04,119 Speaker 4: I mean, get sick, get recover from being sick faster. 167 00:08:04,640 --> 00:08:07,680 Speaker 4: It means fewer people die, and that improves a prop. 168 00:08:07,960 --> 00:08:11,400 Speaker 3: Back seeing which I remember the pin drops. Yep, consence, 169 00:08:11,400 --> 00:08:13,560 Speaker 3: Thank you so much. Constance Hunter with EIU Here. 170 00:08:18,120 --> 00:08:21,680 Speaker 1: You're listening to the Bloomberg Surveillance Podcast. Catch us live 171 00:08:21,760 --> 00:08:24,920 Speaker 1: weekday afternoons from seven to ten am Eastern. Listen on 172 00:08:25,000 --> 00:08:28,640 Speaker 1: Applecarplay and Android Otto with the Bloomberg Business app, or 173 00:08:28,800 --> 00:08:30,520 Speaker 1: watch us live on YouTube. 174 00:08:30,760 --> 00:08:33,600 Speaker 3: It's a week A banker names JP Morgan over in 175 00:08:33,640 --> 00:08:37,720 Speaker 3: the investment side, Golden sacks JP Morgan Equity Trading ginormous 176 00:08:38,200 --> 00:08:41,760 Speaker 3: City Group today two hundred and twenty nine thousand employees. 177 00:08:42,480 --> 00:08:43,880 Speaker 2: How about Paul published on the. 178 00:08:43,800 --> 00:08:48,479 Speaker 3: Bloomberg A bank with nine hundred and fifty one employees. 179 00:08:49,280 --> 00:08:51,040 Speaker 2: Towns River, New Jersey, Jersey Shore. 180 00:08:51,440 --> 00:08:54,959 Speaker 3: There we are, Jersey Shore joining us now from Ocean 181 00:08:55,000 --> 00:08:57,520 Speaker 3: First Financial. I'm loving that we're doing this. Nobody told 182 00:08:57,559 --> 00:08:58,920 Speaker 3: me that we're doing this. 183 00:08:58,920 --> 00:08:59,480 Speaker 2: This is great. 184 00:08:59,559 --> 00:09:04,680 Speaker 3: Christopher joins us from Ocean First Financial. It's back I 185 00:09:04,679 --> 00:09:06,520 Speaker 3: guess to nineteen oh two, is point pleasant? 186 00:09:06,640 --> 00:09:07,079 Speaker 2: That's right? 187 00:09:07,200 --> 00:09:10,520 Speaker 3: Yeah, that's right, Okay, yeah, this is great. We are 188 00:09:10,640 --> 00:09:15,520 Speaker 3: so mental about talking about these ginormous banks. Just simply 189 00:09:15,880 --> 00:09:19,160 Speaker 3: in this modern age, how do you compete with super 190 00:09:19,200 --> 00:09:22,160 Speaker 3: regionals in the ginormous. 191 00:09:21,559 --> 00:09:23,640 Speaker 8: Well, you know, it all comes down to your relationship 192 00:09:23,679 --> 00:09:26,079 Speaker 8: with your customers. So you know, we were founded in 193 00:09:26,160 --> 00:09:28,520 Speaker 8: nineteen oh two is the Point Pleasant Building and Loan 194 00:09:28,559 --> 00:09:31,160 Speaker 8: Association of Point Pleasant Beach, so at the Bailey Building 195 00:09:31,200 --> 00:09:34,600 Speaker 8: and Loan right over the year's Commercial Bank Diversified. We 196 00:09:34,679 --> 00:09:38,679 Speaker 8: operate throughout the Northeast and what we've found is customers 197 00:09:38,720 --> 00:09:42,120 Speaker 8: really value that ability to have a conversation with a 198 00:09:42,120 --> 00:09:44,200 Speaker 8: bank or a trusted partner, someone who's going to deliver. 199 00:09:44,640 --> 00:09:46,800 Speaker 8: And you're going to compete on that, on doing what 200 00:09:46,840 --> 00:09:49,280 Speaker 8: you promised you're going to do, doing it quickly and effectively. 201 00:09:49,360 --> 00:09:51,640 Speaker 8: And if you do that, you're going to do just fine. 202 00:09:52,000 --> 00:09:55,280 Speaker 7: Chris, what's a typical corporate customer for your bank? What 203 00:09:55,320 --> 00:09:57,640 Speaker 7: are they like and what are they telling you these days? 204 00:09:57,920 --> 00:10:00,160 Speaker 8: So you know, most of our clients are small of 205 00:10:00,160 --> 00:10:03,600 Speaker 8: family owned businesses. They range, We cover a geography between 206 00:10:03,679 --> 00:10:08,920 Speaker 8: DC and Boston. All sorts could be manufacturing, logistics services companies. 207 00:10:09,480 --> 00:10:11,599 Speaker 8: And what they're telling us today is certainly there's a 208 00:10:11,679 --> 00:10:15,480 Speaker 8: level of apprehension given all the volatility, but they're not 209 00:10:15,640 --> 00:10:18,720 Speaker 8: overly concerned. You know, many of these folks took a 210 00:10:18,840 --> 00:10:22,640 Speaker 8: master class in supply chain during the pandemic, so they've 211 00:10:22,640 --> 00:10:26,040 Speaker 8: got you know, secondary and tertiary suppliers, they've got different 212 00:10:26,040 --> 00:10:30,160 Speaker 8: warehouse capabilities. They are concerned, and we're concerned about how 213 00:10:30,200 --> 00:10:33,800 Speaker 8: long the volatility continues, but generally they're weathering it pretty well. 214 00:10:34,200 --> 00:10:36,400 Speaker 7: I mean, that's something that Tom has talked about a lot, 215 00:10:36,440 --> 00:10:40,760 Speaker 7: which is corporations adapt and maybe that's kind of what 216 00:10:40,800 --> 00:10:46,200 Speaker 7: you're seeing here. Are they putting projects on hold? 217 00:10:46,360 --> 00:10:47,080 Speaker 6: Are they waiting? 218 00:10:47,160 --> 00:10:49,400 Speaker 7: We've heard that from some of the larger companies out 219 00:10:49,440 --> 00:10:51,319 Speaker 7: there that the larger banks. We've heard from even more 220 00:10:51,320 --> 00:10:53,920 Speaker 7: Morgan standing seeing other clients are just saying just let. 221 00:10:53,880 --> 00:10:55,960 Speaker 6: Us wait a little bit. Are you seeing that at 222 00:10:55,960 --> 00:10:56,760 Speaker 6: the local level. 223 00:10:56,640 --> 00:10:59,000 Speaker 8: Yeah, Paul, some are so. I'll use an example. We 224 00:10:59,080 --> 00:11:02,360 Speaker 8: have a plastic manufacturer that was in the process of 225 00:11:02,360 --> 00:11:05,600 Speaker 8: doing a significant expansion, buying some equipment, some of which 226 00:11:05,679 --> 00:11:08,320 Speaker 8: was from Germany, someone was from China. The cost of 227 00:11:08,360 --> 00:11:10,840 Speaker 8: the tariffs on that equipment would have raised the cost 228 00:11:10,880 --> 00:11:12,400 Speaker 8: of their project. I think in the range of six 229 00:11:12,480 --> 00:11:15,320 Speaker 8: hundred thousand dollars. They're likely going to continue with the 230 00:11:15,320 --> 00:11:17,880 Speaker 8: project at some point, but it doesn't make sense to 231 00:11:18,000 --> 00:11:20,360 Speaker 8: just forge forward and pay those tariffs. They're going to 232 00:11:20,400 --> 00:11:22,679 Speaker 8: wait and see. And if this is a short term thing, 233 00:11:22,720 --> 00:11:24,400 Speaker 8: I don't think it's going to upset much. But the 234 00:11:24,480 --> 00:11:26,720 Speaker 8: longer this goes on, the concern builds. 235 00:11:27,080 --> 00:11:30,000 Speaker 3: I'm fascinated by the day to day grind of a 236 00:11:30,200 --> 00:11:33,800 Speaker 3: very small bank versus the major. Now on your website, 237 00:11:33,840 --> 00:11:38,079 Speaker 3: you hired Zachary Hauser in northern Virginia. He's a Minnesota 238 00:11:38,160 --> 00:11:40,960 Speaker 3: Vikings fan, which is I don't get. 239 00:11:40,840 --> 00:11:43,199 Speaker 2: It, but there it is. 240 00:11:43,679 --> 00:11:47,880 Speaker 3: Why would Zachary Hauser leave Bank of America, Wells Fargo, 241 00:11:48,280 --> 00:11:51,880 Speaker 3: and the iconic Buffalo M and T Bank to join 242 00:11:52,040 --> 00:11:53,920 Speaker 3: an itty bitty bank in Times River. 243 00:11:54,040 --> 00:11:57,520 Speaker 8: Yeah. So, Look, we built a following, and I think 244 00:11:57,559 --> 00:12:01,280 Speaker 8: professionals from around our industry understand that the number one 245 00:12:01,320 --> 00:12:03,560 Speaker 8: thing that's important to them is their ability to serve 246 00:12:03,600 --> 00:12:06,640 Speaker 8: their clients. And although we're on the smaller side, you know, 247 00:12:06,679 --> 00:12:09,040 Speaker 8: it's just about fourteen billion dollars of assets, we're a 248 00:12:09,080 --> 00:12:13,280 Speaker 8: top one hundred US bank. That's both wonderful and terrible. Right, 249 00:12:13,280 --> 00:12:15,600 Speaker 8: we should have more banks in this country, but that 250 00:12:15,679 --> 00:12:19,120 Speaker 8: gives us the scale to be able to support very 251 00:12:19,240 --> 00:12:20,119 Speaker 8: large businesses. 252 00:12:20,480 --> 00:12:22,439 Speaker 2: I mean, just this just came up. Paul just sent 253 00:12:22,480 --> 00:12:23,120 Speaker 2: me an email. 254 00:12:23,240 --> 00:12:26,680 Speaker 3: Paul, I think a refine through ocean first shot. I 255 00:12:26,720 --> 00:12:30,360 Speaker 3: think it says it, Sure, you can take your vest, but. 256 00:12:30,440 --> 00:12:33,000 Speaker 6: Down there exactly, you know, check it out. We'll find 257 00:12:33,000 --> 00:12:36,400 Speaker 6: these guys. So, Chris, you mentioned you know, maybe we 258 00:12:36,480 --> 00:12:37,240 Speaker 6: need more banks. 259 00:12:37,440 --> 00:12:39,280 Speaker 7: I think what a lot of people came to understand 260 00:12:39,320 --> 00:12:41,680 Speaker 7: when we saw the regional bank crisis of several years. 261 00:12:41,520 --> 00:12:43,600 Speaker 6: Ago with SVB is Boyd. 262 00:12:43,720 --> 00:12:47,000 Speaker 7: We have five thousand regional banks around the country. No 263 00:12:47,160 --> 00:12:51,319 Speaker 7: other country has that. Do we consolidate the regional bank business? 264 00:12:51,320 --> 00:12:52,000 Speaker 6: How do you think about that? 265 00:12:52,040 --> 00:12:54,880 Speaker 8: Well, certainly there's a need for efficiencies and consolidation. I 266 00:12:54,880 --> 00:12:56,800 Speaker 8: think we'll see some of that. But on the other hand, 267 00:12:57,000 --> 00:12:59,680 Speaker 8: you know, we provide a niche regional banks in general, 268 00:12:59,760 --> 00:13:02,400 Speaker 8: where we're the main street lenders. So when you think 269 00:13:02,440 --> 00:13:06,680 Speaker 8: about these family owned, privately held businesses, the majority of 270 00:13:06,720 --> 00:13:09,120 Speaker 8: credit to that sector comes from regional banks like US 271 00:13:09,160 --> 00:13:11,959 Speaker 8: between ten billion and one hundred billion dollars in deposits. 272 00:13:12,320 --> 00:13:15,000 Speaker 8: If you think back to COVID, we were the industry 273 00:13:15,040 --> 00:13:17,680 Speaker 8: that jumped in and handled the PPP out of the gate. 274 00:13:18,160 --> 00:13:20,440 Speaker 8: We were faster than the big banks. We made early 275 00:13:20,480 --> 00:13:22,800 Speaker 8: commitments to doing it, and in our case, you know, 276 00:13:22,840 --> 00:13:24,880 Speaker 8: we were out. We're one of the first lenders in 277 00:13:24,920 --> 00:13:28,280 Speaker 8: the business getting dollars on the street to our clients. 278 00:13:28,280 --> 00:13:31,240 Speaker 8: So we do need that kind of layer of banks 279 00:13:31,280 --> 00:13:33,080 Speaker 8: that are much more responsive to their customers. 280 00:13:33,080 --> 00:13:34,760 Speaker 2: Do you read Jamie Diamond's annual letter? 281 00:13:34,880 --> 00:13:35,439 Speaker 8: Absolutely? 282 00:13:36,200 --> 00:13:38,680 Speaker 3: What do you take from mister Diamond's letter that you 283 00:13:38,760 --> 00:13:41,600 Speaker 3: can apply to nine hundred and fifty one employees out 284 00:13:41,600 --> 00:13:42,320 Speaker 3: of Thymes River. 285 00:13:42,520 --> 00:13:44,600 Speaker 8: There's a lot of commonality. So when you think about 286 00:13:44,640 --> 00:13:47,800 Speaker 8: the principles that Jamie runs by and we believe the 287 00:13:47,840 --> 00:13:49,880 Speaker 8: same thing. You want to have a fortress balance sheet. 288 00:13:49,920 --> 00:13:52,160 Speaker 8: You know, look, we don't want a recession, but we're 289 00:13:52,200 --> 00:13:54,319 Speaker 8: prepared for a recession. If you're running a bank, you 290 00:13:54,440 --> 00:13:57,480 Speaker 8: better expect that one could happen. I think the discipline 291 00:13:57,480 --> 00:14:00,400 Speaker 8: about doing the right thing by your customers, by your employees. 292 00:14:00,720 --> 00:14:03,640 Speaker 8: Probably my favorite story is the outsourcing of their security 293 00:14:04,520 --> 00:14:07,320 Speaker 8: and then the reinsourcing of their security, because at the 294 00:14:07,400 --> 00:14:08,760 Speaker 8: end of the day, you want to make sure that 295 00:14:08,760 --> 00:14:10,439 Speaker 8: your people are connected to the customers. 296 00:14:11,480 --> 00:14:14,280 Speaker 6: Private equity, I mean private credit. How is that is 297 00:14:14,280 --> 00:14:14,559 Speaker 6: that a. 298 00:14:14,480 --> 00:14:17,000 Speaker 7: Competitor to you in your market, because we've heard about 299 00:14:17,040 --> 00:14:19,440 Speaker 7: it that they're competing with the JP Morgans of the 300 00:14:19,480 --> 00:14:23,440 Speaker 7: world and taking business from them or maybe substituting for them. 301 00:14:23,480 --> 00:14:25,120 Speaker 6: Are you seeing in the smaller markets? 302 00:14:25,200 --> 00:14:28,160 Speaker 8: Absolutely, private credit as a competitor, But interestingly they're also 303 00:14:28,200 --> 00:14:31,000 Speaker 8: becoming a big client of ours. So in many cases 304 00:14:31,640 --> 00:14:34,200 Speaker 8: we are doing more and more business with private credit 305 00:14:34,640 --> 00:14:38,800 Speaker 8: where we're lending along with them, coming into join credit 306 00:14:38,800 --> 00:14:41,440 Speaker 8: facilities or lending to them either on a deal by 307 00:14:41,480 --> 00:14:43,880 Speaker 8: deal basis and note on note finance or lending to 308 00:14:43,920 --> 00:14:46,760 Speaker 8: the fund itself. So I think it's the fastest growth 309 00:14:46,760 --> 00:14:47,400 Speaker 8: area for US. 310 00:14:48,240 --> 00:14:51,000 Speaker 3: I gotta ask, I mean, are you I mean, I 311 00:14:51,000 --> 00:14:53,120 Speaker 3: don't mean to be rude, but I'm going to be rude. 312 00:14:53,320 --> 00:14:55,920 Speaker 3: Are you guys helping out Jon bon Jovi with a 313 00:14:56,040 --> 00:14:56,720 Speaker 3: soul kitchen? 314 00:14:57,320 --> 00:14:59,440 Speaker 8: Times Are of New Jersey, as a matter of fact, 315 00:15:00,040 --> 00:15:02,880 Speaker 8: did a joint project with jompon Jovi in the Soul kitchen. 316 00:15:02,920 --> 00:15:05,000 Speaker 8: We built out a new facility a couple of years back. 317 00:15:05,120 --> 00:15:08,680 Speaker 8: We were one of four donors that helped make that possible. 318 00:15:08,720 --> 00:15:11,760 Speaker 8: The Ocean First Foundation is made over fifty million dollars 319 00:15:11,800 --> 00:15:13,880 Speaker 8: worth of grants in our communities and that was one 320 00:15:13,920 --> 00:15:15,480 Speaker 8: of our special grants a number of years ago. 321 00:15:15,520 --> 00:15:18,280 Speaker 2: Did he sing a concerts for your mister Ward meeting. 322 00:15:18,320 --> 00:15:20,080 Speaker 8: We didn't get a concert, but he was a very 323 00:15:20,120 --> 00:15:20,760 Speaker 8: gracious man. 324 00:15:20,920 --> 00:15:23,960 Speaker 3: So Chris Mayor, thank you so much. Greatly appreciate it. 325 00:15:23,960 --> 00:15:26,040 Speaker 3: With the Ocean First team. 326 00:15:26,360 --> 00:15:30,280 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 327 00:15:30,320 --> 00:15:33,720 Speaker 1: starting at seven am Eastern on Applecarplay and Android Auto 328 00:15:33,760 --> 00:15:36,720 Speaker 1: with the Bloomberg Business app. You can also listen live 329 00:15:36,800 --> 00:15:40,360 Speaker 1: on Amazon Alexa from our flagship New York station, just 330 00:15:40,400 --> 00:15:44,960 Speaker 1: say Alexa Play. Bloomberg eleven thirty said this before. 331 00:15:45,120 --> 00:15:47,760 Speaker 3: That there's like four hundred and twenty two books out 332 00:15:47,800 --> 00:15:52,080 Speaker 3: on asset allocation and diversification. In the single read for 333 00:15:52,200 --> 00:15:56,160 Speaker 3: adults both Global Wall Street and people engaged in the 334 00:15:56,160 --> 00:15:59,400 Speaker 3: debate is from Sebastian Page. His day job as a 335 00:15:59,440 --> 00:16:01,960 Speaker 3: tea rope. His night job is to sit in the 336 00:16:02,000 --> 00:16:04,600 Speaker 3: Orioles dugout. He writes it, I don't like an iPad 337 00:16:04,680 --> 00:16:09,720 Speaker 3: or whatever, and we celebrate today. His new book is 338 00:16:10,080 --> 00:16:12,280 Speaker 3: that is out and it's a shift. It's called The 339 00:16:12,360 --> 00:16:16,840 Speaker 3: Psychology of Leadership. Sebastian Page joins us right now come on, 340 00:16:16,920 --> 00:16:18,840 Speaker 3: you're doing a Malcolm Gladwell thing here. 341 00:16:19,160 --> 00:16:21,280 Speaker 2: Why are we doing this? Why are we doing this? 342 00:16:21,400 --> 00:16:24,800 Speaker 2: Psychology of leadership? Did cal rip Can put you up 343 00:16:24,840 --> 00:16:25,120 Speaker 2: to this? 344 00:16:26,640 --> 00:16:30,320 Speaker 9: Tom, that's a great compliment. I think Malcolm Gladwell is 345 00:16:30,360 --> 00:16:33,400 Speaker 9: a great writer. And by the way, Tom, I don't 346 00:16:33,400 --> 00:16:36,680 Speaker 9: write on iPads. That's pretty hard if you're a writer. 347 00:16:37,520 --> 00:16:40,160 Speaker 9: I'm super excited the book is coming out today. I'm 348 00:16:40,200 --> 00:16:44,800 Speaker 9: basically giving you an exclusive in the broadcast media, and 349 00:16:44,840 --> 00:16:48,280 Speaker 9: there's a lot in there for investors, Tom, in particular 350 00:16:48,600 --> 00:16:54,120 Speaker 9: sports psychology, which I find absolutely fascinating. You have to 351 00:16:54,200 --> 00:16:58,960 Speaker 9: learn about losing, you know, Federer said in a statement 352 00:16:59,080 --> 00:17:03,720 Speaker 9: to students and commencement. He said, whatever game you play 353 00:17:03,760 --> 00:17:06,280 Speaker 9: in life, you're going to lose. And so that applies 354 00:17:06,320 --> 00:17:10,720 Speaker 9: to the psychology of leadership of investing as well. And 355 00:17:10,960 --> 00:17:13,240 Speaker 9: you know what we do every day, Tom, in financial 356 00:17:13,280 --> 00:17:16,840 Speaker 9: market differentiate between luck and skills. That's important too. 357 00:17:17,160 --> 00:17:18,480 Speaker 2: You've got a great idea here. 358 00:17:18,640 --> 00:17:20,680 Speaker 3: I saw in an old movie David Ogilvy, one of 359 00:17:20,720 --> 00:17:22,000 Speaker 3: the giants of advertising. 360 00:17:22,359 --> 00:17:25,280 Speaker 2: There's no statue to committees in parks. You go over 361 00:17:25,280 --> 00:17:28,919 Speaker 2: to Central Park and there's no statue. Paul Sweeney to 362 00:17:29,000 --> 00:17:29,720 Speaker 2: a committee. 363 00:17:29,720 --> 00:17:33,199 Speaker 3: You've got a chapter in there on rethinking team leadership. 364 00:17:33,480 --> 00:17:35,200 Speaker 3: Are we two team leadership now? 365 00:17:35,280 --> 00:17:39,400 Speaker 9: Sebastian page, you know, and psychology, there's a lot of research. 366 00:17:39,520 --> 00:17:43,360 Speaker 9: It's become very popular to talk about introverts and extroverts, 367 00:17:43,600 --> 00:17:46,920 Speaker 9: and so in an investment committee you can see those dynamics. 368 00:17:47,520 --> 00:17:51,960 Speaker 9: The research is fascinating because it shows that when people 369 00:17:52,280 --> 00:17:55,879 Speaker 9: take time to think about their decision on their own 370 00:17:55,960 --> 00:18:00,720 Speaker 9: and do independent thinking without the influence of others in 371 00:18:00,800 --> 00:18:04,840 Speaker 9: the room, and then bring those decisions to the table 372 00:18:05,040 --> 00:18:10,439 Speaker 9: to debate them, the outcome on decision making is generally better. 373 00:18:11,000 --> 00:18:14,879 Speaker 9: So I find that fascinating. And in our assocation committee, 374 00:18:14,880 --> 00:18:17,359 Speaker 9: what we do is before the meeting and we have 375 00:18:17,440 --> 00:18:22,000 Speaker 9: one tomorrow, everyone submits their thinking, their views on tactical 376 00:18:22,040 --> 00:18:26,960 Speaker 9: ass allocation independently and then we collate them and discuss 377 00:18:27,040 --> 00:18:29,399 Speaker 9: them as a committee. This way you remove things like 378 00:18:29,480 --> 00:18:33,439 Speaker 9: group think. Tom But you know, we all say we 379 00:18:33,480 --> 00:18:38,040 Speaker 9: hate meetings. Meetings are essential. Collaboration is essential. At tiro Price. 380 00:18:38,080 --> 00:18:42,560 Speaker 9: Our collaboration style is I would say different. We see 381 00:18:42,600 --> 00:18:45,640 Speaker 9: the exchange of ideas as a source of alpha, so 382 00:18:45,800 --> 00:18:47,160 Speaker 9: it's super important for us. 383 00:18:47,240 --> 00:18:50,080 Speaker 3: I would point out the tiro Price invented this folks 384 00:18:50,119 --> 00:18:52,959 Speaker 3: a few years ago. I mean, I mean they are 385 00:18:53,080 --> 00:18:55,960 Speaker 3: kind of going to buy side Paul for fractions. 386 00:18:55,560 --> 00:19:00,280 Speaker 7: Debate Sebastian, how do you think what's the best way 387 00:19:00,320 --> 00:19:03,280 Speaker 7: to learn leadership skills? I just came from a board 388 00:19:03,280 --> 00:19:04,960 Speaker 7: meeting at the Business School of Duke last weekend and 389 00:19:05,000 --> 00:19:07,359 Speaker 7: that was a big, big topic at the board level 390 00:19:07,520 --> 00:19:11,280 Speaker 7: talking about leadership and how you teach that, how do 391 00:19:11,280 --> 00:19:12,560 Speaker 7: you think that's best instilled. 392 00:19:13,800 --> 00:19:19,040 Speaker 9: So in the Psychology of leadership, I talk about several 393 00:19:19,040 --> 00:19:22,600 Speaker 9: ways in which what we think about leadership is wrong. 394 00:19:23,240 --> 00:19:25,280 Speaker 9: For example, you think a leader needs to be a 395 00:19:25,320 --> 00:19:29,640 Speaker 9: great communicator. Well, the higher you go up the organization, 396 00:19:30,359 --> 00:19:33,320 Speaker 9: the more you need to listen and be a good listener. 397 00:19:33,400 --> 00:19:36,359 Speaker 9: We think leaders need to be decisive. A lot of 398 00:19:36,520 --> 00:19:40,880 Speaker 9: really smart, effective leaders I've known knew how to look 399 00:19:40,880 --> 00:19:46,080 Speaker 9: at decisions where they needed strategic patients. That's often counterintuitive 400 00:19:46,080 --> 00:19:49,160 Speaker 9: because we all want to be super decisive in investment 401 00:19:49,240 --> 00:19:52,840 Speaker 9: management too, And so you also think the leader needs 402 00:19:52,880 --> 00:19:56,280 Speaker 9: to be built consensus and be agreeable. But sometimes as 403 00:19:56,280 --> 00:19:58,000 Speaker 9: a leader, you're not a leader if you're not making 404 00:19:58,040 --> 00:20:00,359 Speaker 9: the tough decisions. So you also need to be to 405 00:20:00,400 --> 00:20:04,120 Speaker 9: be disagreeable. And the last one that's counterintuitive and that 406 00:20:04,240 --> 00:20:06,800 Speaker 9: I think is a big part of learning or relearning 407 00:20:06,880 --> 00:20:10,919 Speaker 9: leadership is this idea that the leader is unflappable and 408 00:20:11,000 --> 00:20:15,200 Speaker 9: there's no stress there. And the reality and sports psychology 409 00:20:15,280 --> 00:20:19,760 Speaker 9: shows that, and positive psychology too, is that stress increases 410 00:20:19,840 --> 00:20:22,439 Speaker 9: performance up to a point and leaders have to be 411 00:20:22,560 --> 00:20:26,000 Speaker 9: able to handle it and be vulnerable about it and 412 00:20:26,040 --> 00:20:27,720 Speaker 9: to a certain extent, embrace it. 413 00:20:28,960 --> 00:20:32,320 Speaker 7: So there's a lot of stress out there in the marketplace, 414 00:20:32,560 --> 00:20:37,680 Speaker 7: in the workplace, whether it's driven by technology, changing political trends. 415 00:20:38,480 --> 00:20:39,760 Speaker 6: How do leaders kind. 416 00:20:39,560 --> 00:20:43,439 Speaker 7: Of within their institutions deal with stress and kind of 417 00:20:43,520 --> 00:20:45,119 Speaker 7: manage that throughout the organization? 418 00:20:46,040 --> 00:20:48,439 Speaker 9: So we all try to push it out right, We 419 00:20:48,480 --> 00:20:51,439 Speaker 9: all go around thinking zero stress is where I'm going 420 00:20:51,520 --> 00:20:55,200 Speaker 9: to get optimal performance. What I've learned from sports psychology. 421 00:20:55,240 --> 00:21:00,800 Speaker 9: I explain this in the book. It's fascinating stress performance 422 00:21:01,040 --> 00:21:04,439 Speaker 9: increases with stress up to a point, and there's a 423 00:21:04,480 --> 00:21:08,080 Speaker 9: point of optimal performance that's not zero stress, whether that's 424 00:21:08,119 --> 00:21:12,040 Speaker 9: for organizations or individuals, and then after that then you 425 00:21:12,160 --> 00:21:15,239 Speaker 9: choke and you know, you get the negative effects of it. 426 00:21:15,320 --> 00:21:17,760 Speaker 3: There's a little stress out there right now, Sebastian page. 427 00:21:17,760 --> 00:21:21,119 Speaker 3: What should our stress listeners and viewers on YouTube do 428 00:21:21,760 --> 00:21:25,040 Speaker 3: in these stressful times? Do they radically shift their portfolio? 429 00:21:25,320 --> 00:21:27,399 Speaker 2: Do they tweak it? Do they go play golf? 430 00:21:27,480 --> 00:21:29,600 Speaker 3: Or do do they go watch The Last Place Baltimore 431 00:21:29,640 --> 00:21:32,040 Speaker 3: Orioles sponsored by tiro Price. 432 00:21:32,920 --> 00:21:35,400 Speaker 9: Thank you for the plug, Dumb. I always appreciate it. 433 00:21:35,560 --> 00:21:38,440 Speaker 9: And by the way, thank you for supporting my books, 434 00:21:38,440 --> 00:21:40,840 Speaker 9: my first one in this one as well. You're very 435 00:21:40,840 --> 00:21:42,760 Speaker 9: gracious to everyone in the industry. 436 00:21:43,280 --> 00:21:45,200 Speaker 2: Got well, thank you, Sebastian. 437 00:21:45,240 --> 00:21:47,600 Speaker 3: But you have a movie coming out in the first 438 00:21:47,600 --> 00:21:49,399 Speaker 3: book right with DiCaprio. 439 00:21:50,520 --> 00:21:52,560 Speaker 9: I don't know if that movie would sell talk about 440 00:21:52,640 --> 00:21:58,760 Speaker 9: asset allocation versification. Maybe there's a Hollywood version somewhere, but 441 00:21:58,840 --> 00:22:01,840 Speaker 9: look the market as it's been sold up. We lost 442 00:22:01,840 --> 00:22:04,080 Speaker 9: ten and a half percent in two days a couple 443 00:22:04,080 --> 00:22:06,720 Speaker 9: of weeks ago. Those like we've only seen this or 444 00:22:06,760 --> 00:22:09,840 Speaker 9: worse three times since World War Two, so we're going 445 00:22:09,920 --> 00:22:11,200 Speaker 9: through real volatility. 446 00:22:11,359 --> 00:22:11,560 Speaker 8: Tom. 447 00:22:11,560 --> 00:22:13,399 Speaker 9: I know you like to watch at the Vicks. We 448 00:22:13,680 --> 00:22:17,040 Speaker 9: went in above fifty. So we're in a situation where 449 00:22:17,080 --> 00:22:21,359 Speaker 9: in our investment teams typically would be leaning in because 450 00:22:21,560 --> 00:22:23,960 Speaker 9: this is when there's panic and now you want to 451 00:22:23,960 --> 00:22:28,040 Speaker 9: have the opposite reaction and take advantage of higher risk premium. 452 00:22:28,359 --> 00:22:31,680 Speaker 9: But I would say right now on our platform, because 453 00:22:32,040 --> 00:22:37,080 Speaker 9: markets are still expensive, and you know, earnings expectations are 454 00:22:37,119 --> 00:22:41,679 Speaker 9: still high at eleven percent, and growth is slowing and 455 00:22:41,840 --> 00:22:45,679 Speaker 9: was slowing into the tariff wars, we're actually closer to 456 00:22:45,760 --> 00:22:48,720 Speaker 9: neutral in most of our portfolios, most of our discussions, 457 00:22:48,760 --> 00:22:52,520 Speaker 9: even some investors are looking to sell counter rallies. So 458 00:22:52,720 --> 00:22:56,320 Speaker 9: unlike other selloffs for the next couple months, I would 459 00:22:56,320 --> 00:22:57,800 Speaker 9: sell on our platform, we're more. 460 00:22:57,680 --> 00:23:03,080 Speaker 7: Cautious sebastially in terms of leadership. Has it changed over time? 461 00:23:03,240 --> 00:23:04,800 Speaker 7: Does it change over time? I mean when I was 462 00:23:04,840 --> 00:23:07,720 Speaker 7: coming up in investment banking, you know, my vice president 463 00:23:07,760 --> 00:23:10,119 Speaker 7: told me to you know, work this weekend to do 464 00:23:10,160 --> 00:23:10,520 Speaker 7: this deal. 465 00:23:10,760 --> 00:23:13,920 Speaker 6: That's just what I did. Does that still work today? 466 00:23:15,080 --> 00:23:18,320 Speaker 9: I think it has changed. It has evolved. The cultures 467 00:23:19,080 --> 00:23:24,200 Speaker 9: across industry, industries but in particular in the investment business 468 00:23:24,560 --> 00:23:27,439 Speaker 9: have evolved, and in my mind, they're in a better place. 469 00:23:28,280 --> 00:23:31,280 Speaker 9: I think, Paul. The thing that's missing that we need 470 00:23:31,280 --> 00:23:33,719 Speaker 9: to talk about more is the meaning of what we 471 00:23:33,760 --> 00:23:36,480 Speaker 9: do in financial markets, And to a certain extent, we 472 00:23:36,600 --> 00:23:39,880 Speaker 9: have a little bit of a crisis of meaning if 473 00:23:39,880 --> 00:23:43,320 Speaker 9: you will, with index strategies and so on. To me, 474 00:23:43,400 --> 00:23:45,760 Speaker 9: the meaning is that every day we go to work, 475 00:23:45,800 --> 00:23:48,040 Speaker 9: we try to make money for our clients to give 476 00:23:48,080 --> 00:23:52,560 Speaker 9: them better retirements. We're not solving you know, big cancer. 477 00:23:52,880 --> 00:23:55,720 Speaker 9: We're not, but we're going to work to make money 478 00:23:55,720 --> 00:23:58,119 Speaker 9: for our clients, and that's incredibly meaningful. We want to 479 00:23:58,160 --> 00:24:01,280 Speaker 9: give them better financial lives. So I think that's the 480 00:24:01,320 --> 00:24:03,679 Speaker 9: next step. I think our culture has evolved in our 481 00:24:03,720 --> 00:24:08,520 Speaker 9: industry in a positive direction, more mutual respect, more building trust. 482 00:24:08,920 --> 00:24:10,679 Speaker 9: But the next step is to go back to the 483 00:24:10,720 --> 00:24:13,920 Speaker 9: meaning of what we do in financial markets. It's hugely important. 484 00:24:13,960 --> 00:24:15,000 Speaker 9: We don't talk about. 485 00:24:14,800 --> 00:24:16,280 Speaker 2: It, right, Sebastian. 486 00:24:16,840 --> 00:24:18,840 Speaker 3: A lot of people are sitting there staring at the 487 00:24:18,880 --> 00:24:21,920 Speaker 3: ceiling or whatever in their car a loon, going what 488 00:24:21,960 --> 00:24:24,440 Speaker 3: a god's name do I do with a depleted four 489 00:24:24,480 --> 00:24:27,919 Speaker 3: to oh one? K Is it a time to be bold? 490 00:24:28,240 --> 00:24:31,240 Speaker 3: I get so much. We had Katie Greifeld and she 491 00:24:31,359 --> 00:24:35,560 Speaker 3: was brilliant on marketed caution. It's like, Okay, people are 492 00:24:35,600 --> 00:24:38,600 Speaker 3: scared stiff, let's be cautious. And there are all these 493 00:24:38,680 --> 00:24:43,720 Speaker 3: cautious strategies. How does Sebastian Page adapt to the marketing 494 00:24:43,880 --> 00:24:45,960 Speaker 3: of fear within the industry. 495 00:24:46,320 --> 00:24:48,800 Speaker 9: There's a lot of fear, there's a lot of emotion. 496 00:24:49,200 --> 00:24:52,520 Speaker 9: I was on a client webcast last week and we 497 00:24:52,600 --> 00:24:56,480 Speaker 9: had about one hundred clients and one person in the 498 00:24:56,560 --> 00:25:00,520 Speaker 9: Q and A wrote, Look, I'm panicking abo my four 499 00:25:00,560 --> 00:25:03,199 Speaker 9: to one K I'm retiring in five years. Should I 500 00:25:03,240 --> 00:25:07,040 Speaker 9: sell everything? And I think that's the wrong way to 501 00:25:07,119 --> 00:25:09,760 Speaker 9: look at it. It's tried, you can put it in 502 00:25:09,840 --> 00:25:12,800 Speaker 9: a fortune cookie. But those are the moments where you 503 00:25:12,920 --> 00:25:15,840 Speaker 9: go back to the basics of staying invested for the 504 00:25:15,920 --> 00:25:20,359 Speaker 9: long run, taking a longer run perspective. This is part 505 00:25:20,359 --> 00:25:23,880 Speaker 9: of being invested in markets. If you're willing to live 506 00:25:24,000 --> 00:25:28,600 Speaker 9: through shorter term volatility, you get paid over time. And 507 00:25:28,640 --> 00:25:32,840 Speaker 9: tom if you're if you're fifty five, you know, or sixty, 508 00:25:32,880 --> 00:25:34,919 Speaker 9: I know you're much younger than that, thanks, But if 509 00:25:34,960 --> 00:25:37,960 Speaker 9: you're in that spot, you're going to retire, you still 510 00:25:37,960 --> 00:25:40,680 Speaker 9: have thirty years of life, Like, it's not the time 511 00:25:40,720 --> 00:25:43,359 Speaker 9: to de risk your entire portfolio. Even if you're close 512 00:25:43,400 --> 00:25:46,000 Speaker 9: to retirement. Yes, you're going to shift to generating income, 513 00:25:46,560 --> 00:25:51,120 Speaker 9: but you still you still need growth in your portfolio. Uh, 514 00:25:51,920 --> 00:25:54,880 Speaker 9: even even in retirement. So this idea that you've got 515 00:25:54,920 --> 00:25:58,439 Speaker 9: to go everything to cash or everything to treasuries. To me, 516 00:25:59,400 --> 00:26:00,439 Speaker 9: it's just bad advice. 517 00:26:00,920 --> 00:26:04,399 Speaker 3: Sebastian, thank you so much. Congratulations on a book timely 518 00:26:04,480 --> 00:26:08,959 Speaker 3: in this time of emotion and crisis, The Psychology of Leadership, 519 00:26:09,280 --> 00:26:13,400 Speaker 3: Timeless Principles to improve your leadership of individuals, teams, and yourself. 520 00:26:13,440 --> 00:26:15,640 Speaker 3: I'll get that out on Twitter and LinkedIn here Sebastian 521 00:26:15,680 --> 00:26:17,800 Speaker 3: page of course at t rope price. 522 00:26:18,680 --> 00:26:22,600 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 523 00:26:22,640 --> 00:26:26,040 Speaker 1: starting at seven am Eastern on Applecarplay and Android Auto 524 00:26:26,080 --> 00:26:29,040 Speaker 1: with the Bloomberg Business app. You can also listen live 525 00:26:29,080 --> 00:26:32,679 Speaker 1: on Amazon Alexa from our flagship New York station, Just 526 00:26:32,720 --> 00:26:35,280 Speaker 1: say Alexa Play Bloomberg eleven thirty. 527 00:26:35,640 --> 00:26:38,720 Speaker 3: Scott Stringer joins us right now, a former New York 528 00:26:38,760 --> 00:26:42,000 Speaker 3: City Controller and a mayor. Kenned is a primary and 529 00:26:42,040 --> 00:26:44,760 Speaker 3: there's an election in that. Let's get the primary out 530 00:26:44,800 --> 00:26:47,480 Speaker 3: of the way right now. New York Times writes it up. 531 00:26:47,800 --> 00:26:51,960 Speaker 3: The mayor's occupied, the governor's piled into the race, and 532 00:26:52,040 --> 00:26:56,000 Speaker 3: the line is everyone's invisible. How does Scott Stringer get 533 00:26:56,119 --> 00:26:58,240 Speaker 3: visible up to the June primary? 534 00:26:58,680 --> 00:27:01,320 Speaker 10: Wait till the mayor race actually started. You know, you 535 00:27:01,400 --> 00:27:04,480 Speaker 10: mentioned my cousin Bella Abzug and the mayor's race of 536 00:27:04,560 --> 00:27:08,119 Speaker 10: nineteen seventy seven when Ed Koch was barely a belip 537 00:27:09,040 --> 00:27:11,880 Speaker 10: during that race until two weeks to go. And so 538 00:27:12,080 --> 00:27:14,720 Speaker 10: everyone who thinks these races end in May, they don't. 539 00:27:14,720 --> 00:27:17,040 Speaker 10: They actually end the end of June. And I have 540 00:27:17,160 --> 00:27:20,840 Speaker 10: high favorable as a record of fiscal prudence and a 541 00:27:20,880 --> 00:27:23,440 Speaker 10: government record that is unmatching this race. So I'm very 542 00:27:23,440 --> 00:27:25,720 Speaker 10: confident going into the next couple of months. 543 00:27:25,800 --> 00:27:28,520 Speaker 3: Is your constituency off of Nayler and rest and you 544 00:27:28,520 --> 00:27:33,480 Speaker 3: know the whole thing, is your constituency as organized is 545 00:27:33,520 --> 00:27:36,679 Speaker 3: it was twenty years ago. Is there a machine in 546 00:27:36,760 --> 00:27:40,080 Speaker 3: New York City where the Liberal party that progresses can 547 00:27:40,160 --> 00:27:42,600 Speaker 3: get behind one candidate or is it chaos? 548 00:27:43,080 --> 00:27:45,840 Speaker 10: Look, I think times have changed in this city. I 549 00:27:45,840 --> 00:27:49,520 Speaker 10: think people really want a mayor who knows what he 550 00:27:49,640 --> 00:27:52,000 Speaker 10: or she is doing. They want someone who's confident, they 551 00:27:52,040 --> 00:27:54,399 Speaker 10: want someone with experience. They're tired of the chaos. They 552 00:27:54,440 --> 00:27:57,640 Speaker 10: don't want the current mayor Eric Adams cast, they don't 553 00:27:57,680 --> 00:28:00,200 Speaker 10: want Quomo casts. They want somebody you would have you 554 00:28:00,200 --> 00:28:04,000 Speaker 10: build a Blasio. I was controller during that time. Period 555 00:28:04,040 --> 00:28:06,560 Speaker 10: I went after. I held up to Blasio accountable three 556 00:28:06,640 --> 00:28:08,520 Speaker 10: hundred and sixty four days a year. I gave him 557 00:28:08,560 --> 00:28:12,800 Speaker 10: a day off due to Christmas. But I understand city agencies. 558 00:28:12,880 --> 00:28:16,600 Speaker 10: I've exposed waste and corruption. I know how to run 559 00:28:16,600 --> 00:28:18,640 Speaker 10: a government in the most competent way, and I think 560 00:28:18,640 --> 00:28:21,000 Speaker 10: that's what people want. But they also want to live here, 561 00:28:21,080 --> 00:28:24,640 Speaker 10: to have affordable housing, to have economic opportunity. People who 562 00:28:24,640 --> 00:28:28,520 Speaker 10: come here understand how critical it is to want to 563 00:28:28,520 --> 00:28:30,320 Speaker 10: stay here. We got to go back to the compact 564 00:28:30,320 --> 00:28:33,560 Speaker 10: of safety, good parks, clean air. This is all what 565 00:28:33,640 --> 00:28:35,159 Speaker 10: a mayor has to do, and we need someone to 566 00:28:35,160 --> 00:28:36,160 Speaker 10: start focusing on it. 567 00:28:36,800 --> 00:28:38,720 Speaker 6: From your perspective, Scoff, what is the state of the 568 00:28:38,720 --> 00:28:39,320 Speaker 6: city today. 569 00:28:40,480 --> 00:28:42,880 Speaker 10: I think we're at a crossroads. I don't think people 570 00:28:42,960 --> 00:28:45,840 Speaker 10: understand just how corrupt the last four years have been. 571 00:28:46,440 --> 00:28:48,080 Speaker 10: And the first thing the next mayor has to do 572 00:28:48,200 --> 00:28:50,880 Speaker 10: is literally reform the government. Bring in the best and 573 00:28:50,920 --> 00:28:54,000 Speaker 10: the brightest, bring in people who are competent, who want 574 00:28:54,040 --> 00:28:56,240 Speaker 10: to see a better city. Look, we've got to hire 575 00:28:56,280 --> 00:28:59,000 Speaker 10: three thousand more cops. We have to align policing and 576 00:28:59,040 --> 00:29:01,480 Speaker 10: a mental health insition. We've got to make sure that 577 00:29:01,600 --> 00:29:04,600 Speaker 10: a strong mayor can take on Trump when he's going 578 00:29:04,600 --> 00:29:08,000 Speaker 10: against New York City. We need somebody who has that experience, 579 00:29:08,080 --> 00:29:10,640 Speaker 10: not just pie in the sky promises. And I think 580 00:29:10,680 --> 00:29:12,400 Speaker 10: I positioned myself in that way. 581 00:29:13,120 --> 00:29:17,520 Speaker 7: Metropolitan Transit Association, the congestion tax, what's your view there? 582 00:29:18,200 --> 00:29:22,520 Speaker 10: Look, I think gets working. I think people want to 583 00:29:22,640 --> 00:29:25,000 Speaker 10: pay a little more to move the city. 584 00:29:25,560 --> 00:29:26,000 Speaker 2: We have a. 585 00:29:27,920 --> 00:29:31,520 Speaker 10: City government that depends on goods and services how they 586 00:29:31,520 --> 00:29:32,280 Speaker 10: get in and out. 587 00:29:32,120 --> 00:29:32,640 Speaker 2: Of New York. 588 00:29:32,800 --> 00:29:35,360 Speaker 10: But look, let's make let's make it clear we have 589 00:29:35,400 --> 00:29:38,120 Speaker 10: work to do. Congestion pricing helps some, but we have 590 00:29:38,160 --> 00:29:40,440 Speaker 10: to build out a Fireborough transportation plan, and we have 591 00:29:40,520 --> 00:29:43,280 Speaker 10: not done that yet. When I was supporting congestion pricing 592 00:29:43,320 --> 00:29:46,080 Speaker 10: back when Mike Bloomberg was mayor, we always said we 593 00:29:46,120 --> 00:29:48,560 Speaker 10: would look at Queen's and Staten Island and how we 594 00:29:48,640 --> 00:29:51,320 Speaker 10: can close those transit deserts. So this is just the 595 00:29:51,360 --> 00:29:54,440 Speaker 10: first step in a long transportation journey for New York City. 596 00:29:54,760 --> 00:29:57,680 Speaker 3: Imagine that mister Bloomberg, of course of Bloomberg LP is 597 00:29:57,720 --> 00:30:02,520 Speaker 3: the founder of this radio station and signs my paycheck, you. 598 00:30:02,480 --> 00:30:07,360 Speaker 2: Know, exactly once a year. Good morning, mister Bloomberg. Scott. 599 00:30:07,520 --> 00:30:08,760 Speaker 10: I thought it'd be good to mention him. 600 00:30:08,840 --> 00:30:09,600 Speaker 2: Just that's good. 601 00:30:09,920 --> 00:30:12,000 Speaker 3: Yeah, and you mentioned him. I got to mention I'm 602 00:30:12,040 --> 00:30:14,880 Speaker 3: not in speaking terms with them. But that's a separate issue. 603 00:30:14,880 --> 00:30:21,640 Speaker 3: Scott Stringer. How can liberals be conservative and be anti crime? 604 00:30:22,040 --> 00:30:24,959 Speaker 3: I mean, there's a whole modern theology. The last election 605 00:30:25,160 --> 00:30:27,720 Speaker 3: was to me and eldamount of election. Long Island rose 606 00:30:27,800 --> 00:30:30,960 Speaker 3: up and screened we're afraid. How do guys like you 607 00:30:31,720 --> 00:30:37,080 Speaker 3: in a city that's become afraid support NYPD and support 608 00:30:37,440 --> 00:30:38,880 Speaker 3: a tougher crime view. 609 00:30:39,520 --> 00:30:44,360 Speaker 10: Why do you think that people who are on the 610 00:30:44,400 --> 00:30:47,280 Speaker 10: liberal side of the equation, or even the conservative side 611 00:30:47,400 --> 00:30:50,680 Speaker 10: can't come together and recognize a problem when you see it. 612 00:30:50,680 --> 00:30:53,239 Speaker 2: It's not me, That's what we've got in this now. 613 00:30:53,480 --> 00:30:55,240 Speaker 10: But I got to tell you something. It's very easy 614 00:30:55,280 --> 00:30:57,600 Speaker 10: for me to look at the problem and say, hey, 615 00:30:57,840 --> 00:31:00,800 Speaker 10: we are having a trouble retaining the police officers we have. 616 00:31:01,280 --> 00:31:03,880 Speaker 10: You know that the young police officers are leaving the 617 00:31:03,880 --> 00:31:07,720 Speaker 10: police force in droves, and they're not retiring from policing. 618 00:31:07,880 --> 00:31:10,760 Speaker 10: They're actually going to Long Island or Mosquito. States like 619 00:31:10,840 --> 00:31:13,760 Speaker 10: Texas and Florida paid and well it's not so much 620 00:31:13,800 --> 00:31:16,280 Speaker 10: pay as it is. How do you create a work 621 00:31:16,320 --> 00:31:18,880 Speaker 10: life balance. You know, we've gone from six hundred and 622 00:31:18,880 --> 00:31:21,840 Speaker 10: fifty million dollars in overtime for policing to one point 623 00:31:21,920 --> 00:31:24,440 Speaker 10: three billion. We have the lowest head count in the 624 00:31:24,560 --> 00:31:28,080 Speaker 10: NYPD in generations. We're down to thirty three thousand cops. 625 00:31:28,120 --> 00:31:30,120 Speaker 10: So what should we do. It doesn't matter whether you're 626 00:31:30,120 --> 00:31:32,840 Speaker 10: a liberal conservative monitor. We've got to hire more cops. 627 00:31:32,840 --> 00:31:35,920 Speaker 10: That makes financial sense and also from a safety perspective, 628 00:31:36,080 --> 00:31:37,960 Speaker 10: makes sense. I want to put a cop on every 629 00:31:38,000 --> 00:31:39,720 Speaker 10: train during in those high crime areas. 630 00:31:39,760 --> 00:31:40,200 Speaker 2: I want to. 631 00:31:40,360 --> 00:31:43,640 Speaker 10: Align policing with a mental health initiative because we see 632 00:31:43,680 --> 00:31:47,040 Speaker 10: people languishing, suffering, dying on the streets when I take 633 00:31:47,080 --> 00:31:49,760 Speaker 10: my two kids on the subway most mornings to go 634 00:31:49,800 --> 00:31:51,480 Speaker 10: to school. You know what I see. I see what 635 00:31:51,520 --> 00:31:54,560 Speaker 10: I saw in the nineteen seventies, people languishing all the side. 636 00:31:54,560 --> 00:31:57,360 Speaker 2: It must admit, well said, and it's actually true. 637 00:31:57,480 --> 00:31:59,640 Speaker 3: Scott's tringer here with the primary in June, in an 638 00:31:59,640 --> 00:32:03,280 Speaker 3: election in November, of course, with his public services family 639 00:32:03,320 --> 00:32:05,800 Speaker 3: service over the years to New York City. 640 00:32:05,600 --> 00:32:09,800 Speaker 6: Pulse reading, Scott, as were you to be elected, what 641 00:32:09,840 --> 00:32:11,000 Speaker 6: would be the first one. 642 00:32:10,960 --> 00:32:12,160 Speaker 7: Hundred days of your administration? 643 00:32:12,200 --> 00:32:13,120 Speaker 2: What would be the focus. 644 00:32:13,440 --> 00:32:16,840 Speaker 10: We bring in a whole new government, we reform these 645 00:32:16,840 --> 00:32:20,239 Speaker 10: city agencies. We have a clarion call for people who 646 00:32:20,320 --> 00:32:22,400 Speaker 10: want to serve this city to come into this government 647 00:32:22,680 --> 00:32:25,280 Speaker 10: and do the people's business. That's the first step. Second, 648 00:32:25,560 --> 00:32:27,600 Speaker 10: I want to build the same kind of housing that 649 00:32:27,680 --> 00:32:32,080 Speaker 10: was built in a different generation called Mitchellama Housing MITCHELLAMA 650 00:32:32,080 --> 00:32:34,640 Speaker 10: two point zero. I want to take our thousand vacant 651 00:32:34,640 --> 00:32:36,760 Speaker 10: lots in the city and let's put to work for 652 00:32:36,840 --> 00:32:39,959 Speaker 10: affordable housing so families can come here, go to our 653 00:32:39,960 --> 00:32:43,240 Speaker 10: best universities, and stay here in a way that's affordable. 654 00:32:43,480 --> 00:32:46,320 Speaker 10: I want to put three thousand cops back on the street. 655 00:32:46,520 --> 00:32:49,680 Speaker 10: Want to make sure we align that program with a 656 00:32:49,720 --> 00:32:52,560 Speaker 10: mental health initiative. I want to make sure that we 657 00:32:52,640 --> 00:32:55,840 Speaker 10: have people taken the police test again. Eight thousand people 658 00:32:55,880 --> 00:32:57,840 Speaker 10: took the police test. Do you know how many people 659 00:32:57,960 --> 00:33:02,200 Speaker 10: took the sanitation test. There's something wrong here. We're just 660 00:33:02,240 --> 00:33:04,960 Speaker 10: not governing anymore. And also I want to make sure 661 00:33:05,240 --> 00:33:08,520 Speaker 10: that we bring back something called quality of life. We'll 662 00:33:08,560 --> 00:33:10,840 Speaker 10: have a Deputy Mayor for Quality of Life, will initiate 663 00:33:11,160 --> 00:33:13,960 Speaker 10: quality stat will break down the silos of all these 664 00:33:13,960 --> 00:33:16,600 Speaker 10: city agencies. I've ordered all of them. And I got 665 00:33:16,640 --> 00:33:19,360 Speaker 10: to tell you mental health has to start talking to 666 00:33:19,400 --> 00:33:21,400 Speaker 10: small business and vice versa. We got to get a 667 00:33:21,440 --> 00:33:24,920 Speaker 10: handle on this government. You need somebody who actually knows 668 00:33:24,960 --> 00:33:27,480 Speaker 10: how to govern. And as borough president for eight years, 669 00:33:27,520 --> 00:33:30,520 Speaker 10: as controller for eight years, I know the fiscal situation 670 00:33:30,560 --> 00:33:32,600 Speaker 10: in the city like the back of my hand. I'm 671 00:33:32,600 --> 00:33:35,720 Speaker 10: not over promising like others in this campaign. I'm just 672 00:33:35,760 --> 00:33:37,880 Speaker 10: gonna be me and be the life long New York. 673 00:33:37,960 --> 00:33:40,480 Speaker 10: I've always been to fix the city taxes. 674 00:33:41,160 --> 00:33:43,600 Speaker 7: Pretty much everybody you walk into on the street say, 675 00:33:43,680 --> 00:33:44,880 Speaker 7: my taxes are too high. 676 00:33:45,440 --> 00:33:47,000 Speaker 6: What do you say, what's your tax. 677 00:33:46,880 --> 00:33:51,640 Speaker 10: Well, let's give people some value for those taxes. Let's 678 00:33:51,800 --> 00:33:55,160 Speaker 10: go back to the compact we've always had in this city, 679 00:33:55,200 --> 00:33:57,800 Speaker 10: which is if you come here, you pay a little more, 680 00:33:58,160 --> 00:34:00,320 Speaker 10: but you're going to get a clean city, not going 681 00:34:00,360 --> 00:34:02,800 Speaker 10: to have rats running around, garbage piled high. I mean 682 00:34:02,800 --> 00:34:05,120 Speaker 10: we've got rats walking upright right now. They've come up 683 00:34:05,120 --> 00:34:07,640 Speaker 10: to me on one occasion at night saying, hey, can 684 00:34:07,640 --> 00:34:10,200 Speaker 10: you beat Cormo. I mean, this is a real crisis. 685 00:34:10,239 --> 00:34:12,440 Speaker 10: People say, what am I paying for? What's the value 686 00:34:12,840 --> 00:34:14,799 Speaker 10: of my taxes? And we have to go back to 687 00:34:14,840 --> 00:34:18,440 Speaker 10: making people understand that what they get in return is 688 00:34:18,440 --> 00:34:21,000 Speaker 10: a real New York City that they'll never leave. 689 00:34:21,120 --> 00:34:25,120 Speaker 3: What is your policy on immigration and migration and the 690 00:34:25,160 --> 00:34:29,200 Speaker 3: emotion here of people coming in that are new and troubled. 691 00:34:29,800 --> 00:34:33,279 Speaker 10: But we've always had people come, like my grandparents came 692 00:34:33,320 --> 00:34:35,760 Speaker 10: to this city and came to this country. So let's 693 00:34:35,760 --> 00:34:39,040 Speaker 10: not start filtering out who comes and who doesn't. Let's 694 00:34:39,040 --> 00:34:41,840 Speaker 10: be very smart about this. Look, you bring gang members 695 00:34:41,880 --> 00:34:43,799 Speaker 10: in here, get them out. I'd be the first one 696 00:34:43,840 --> 00:34:46,440 Speaker 10: to stand and say, we want you out of here. 697 00:34:46,600 --> 00:34:49,759 Speaker 10: No guns, no violence, but for people who flee persecution, 698 00:34:50,040 --> 00:34:52,839 Speaker 10: for people, I mean, come on, we were so much 699 00:34:52,840 --> 00:34:55,680 Speaker 10: better than this, and we can. You know, good government 700 00:34:55,760 --> 00:35:00,239 Speaker 10: means we can absorb people. We can absorb crises have 701 00:35:00,280 --> 00:35:01,000 Speaker 10: to be a meltdown. 702 00:35:01,120 --> 00:35:02,879 Speaker 2: I gotta ask you one final question, Harry. 703 00:35:03,040 --> 00:35:06,239 Speaker 3: I think it's it's hugely emotional for everyone across this nation. 704 00:35:06,840 --> 00:35:07,719 Speaker 2: There is an. 705 00:35:07,560 --> 00:35:12,319 Speaker 3: Uproar among liberals over a generational shift, as identified by 706 00:35:12,400 --> 00:35:16,719 Speaker 3: Senator Schumer, over to something new. John Ferrell mentioned at 707 00:35:16,719 --> 00:35:20,480 Speaker 3: Glenn Young kein of Virginia. The Utah event of Senator 708 00:35:20,520 --> 00:35:23,680 Speaker 3: Sanders the other day helped me here with what the 709 00:35:23,719 --> 00:35:25,719 Speaker 3: new generation of Democrats look like. 710 00:35:26,080 --> 00:35:30,560 Speaker 10: Look, we've always had a new generation of Democrats. You 711 00:35:30,640 --> 00:35:33,359 Speaker 10: mentioned the starting at the show, very very smart, right, 712 00:35:33,440 --> 00:35:35,920 Speaker 10: Bella Abzug was a new generation. 713 00:35:37,480 --> 00:35:41,120 Speaker 3: You can't imagine a shock, and this mouthy woman was. 714 00:35:41,280 --> 00:35:42,400 Speaker 2: It was the progress. 715 00:35:42,400 --> 00:35:44,240 Speaker 10: And look, I was a twelve year old kid running 716 00:35:44,280 --> 00:35:47,319 Speaker 10: around campaigning with her during the Vietnam War. And you 717 00:35:47,360 --> 00:35:49,600 Speaker 10: know what happened. A few years into her term. The 718 00:35:49,719 --> 00:35:52,719 Speaker 10: US News and World Report, not the most liberal newspaper 719 00:35:52,760 --> 00:35:57,800 Speaker 10: or magazine, named her the number three most competent and 720 00:35:57,920 --> 00:36:03,920 Speaker 10: effective member of Congress. I'm am, I embrace the new generation, 721 00:36:04,440 --> 00:36:07,000 Speaker 10: but right now we need somebody in New York City 722 00:36:07,160 --> 00:36:11,960 Speaker 10: who represents vision, experience and competence. Make no mistake, this 723 00:36:12,000 --> 00:36:13,919 Speaker 10: is a moment where we have to rate the ship 724 00:36:14,000 --> 00:36:16,480 Speaker 10: so that the new generation can come in. Right, do 725 00:36:16,520 --> 00:36:17,440 Speaker 10: it all generations? 726 00:36:17,680 --> 00:36:20,400 Speaker 3: Someone say you just describe Governor Cuomo. I mean, the 727 00:36:20,440 --> 00:36:23,799 Speaker 3: basic idea is he's been around, his father's iconic. You're 728 00:36:23,880 --> 00:36:26,280 Speaker 3: up against Cuomo. What's the biggest stetriment there? 729 00:36:26,960 --> 00:36:29,279 Speaker 10: Look, he's chaotic, and he's not pro New York City, 730 00:36:29,320 --> 00:36:31,799 Speaker 10: and he doesn't like people, and he's running the worst 731 00:36:31,880 --> 00:36:34,879 Speaker 10: kind of campaign. That makes him unelectable in my mind, 732 00:36:34,880 --> 00:36:37,920 Speaker 10: but no one's going to realize that until June first. 733 00:36:37,960 --> 00:36:39,640 Speaker 10: And I hope to come back on this show as 734 00:36:39,680 --> 00:36:42,600 Speaker 10: your mayor elect and talk to you, especially about the 735 00:36:42,640 --> 00:36:45,760 Speaker 10: history of mayoral politics and what went wrong in his campaign. 736 00:36:45,760 --> 00:36:46,880 Speaker 10: But I am not feeling. 737 00:36:46,640 --> 00:36:50,200 Speaker 2: Him disgustering to thank you so much for running here 738 00:36:50,840 --> 00:36:51,320 Speaker 2: for mayor. 739 00:36:55,920 --> 00:36:59,760 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 740 00:36:59,760 --> 00:37:02,920 Speaker 1: star It's seven am Eastern on Apple Coarclay and Android 741 00:37:02,920 --> 00:37:05,879 Speaker 1: Auto with the Bloomberg Business app. You can also watch 742 00:37:06,000 --> 00:37:08,920 Speaker 1: us live every weekday on YouTube and always on the 743 00:37:08,960 --> 00:37:11,480 Speaker 1: Bloomberg terminal for their newspapers. 744 00:37:11,480 --> 00:37:13,279 Speaker 2: To the astronaut, Lisa. 745 00:37:13,560 --> 00:37:15,880 Speaker 11: Imagine I could dare to dream. 746 00:37:15,920 --> 00:37:16,560 Speaker 5: Good Mardy, guys. 747 00:37:16,560 --> 00:37:18,320 Speaker 11: So yeah, So the first thing I want to start 748 00:37:18,360 --> 00:37:22,080 Speaker 11: with is Netflix, and they have some ambitious goals. 749 00:37:22,360 --> 00:37:23,560 Speaker 5: This was from the Wall Street Journal. 750 00:37:23,560 --> 00:37:26,160 Speaker 11: They're saying that it hopes to achieve a one trillion 751 00:37:26,239 --> 00:37:30,440 Speaker 11: dollar market cap. Currently their cap is almost at about 752 00:37:30,440 --> 00:37:33,200 Speaker 11: four hundred billion. They want to also double its revenue 753 00:37:33,200 --> 00:37:36,320 Speaker 11: by twenty thirty. Executives have this goal of tripling Netflix 754 00:37:36,400 --> 00:37:39,680 Speaker 11: is operating in come by twenty thirty from ten billion 755 00:37:39,840 --> 00:37:42,760 Speaker 11: last year. So this was all in this annual business review, 756 00:37:42,800 --> 00:37:44,880 Speaker 11: meaning last last month that some people were in. 757 00:37:45,200 --> 00:37:46,759 Speaker 5: They told this to the Wall Street Journal, so they 758 00:37:46,840 --> 00:37:48,040 Speaker 5: got the insight info on it. 759 00:37:49,239 --> 00:37:50,680 Speaker 2: How do they do this? They raise? 760 00:37:50,960 --> 00:37:52,319 Speaker 6: Well, that's what I was going to ask Lisa, how 761 00:37:52,360 --> 00:37:53,440 Speaker 6: did they do it? I mean, I mean, I think 762 00:37:53,440 --> 00:37:55,320 Speaker 6: they're going to raise the prices. 763 00:37:55,520 --> 00:37:57,160 Speaker 7: I think they're going to ramp up, continue to ramp 764 00:37:57,239 --> 00:38:01,359 Speaker 7: up their advertising in newsps, gribers, in other parts. 765 00:38:01,120 --> 00:38:05,919 Speaker 2: Of the ads within the video. Yeah, yeah, stards within 766 00:38:05,960 --> 00:38:06,440 Speaker 2: the video. 767 00:38:06,920 --> 00:38:07,439 Speaker 6: Yeah, you can. 768 00:38:07,960 --> 00:38:10,600 Speaker 11: Different tiers, so you can do the cheaper version and 769 00:38:10,640 --> 00:38:13,480 Speaker 11: you'll pay less, but you get the ads with it. 770 00:38:13,960 --> 00:38:16,040 Speaker 7: I mean, four hundred billion market caps, stocks of five 771 00:38:16,040 --> 00:38:18,120 Speaker 7: percent this year, but up fifty percent. 772 00:38:19,480 --> 00:38:20,200 Speaker 2: For Netflix. 773 00:38:20,239 --> 00:38:20,799 Speaker 8: Oh, I don't know. 774 00:38:20,840 --> 00:38:21,799 Speaker 10: I mean, I don't know. 775 00:38:21,960 --> 00:38:22,320 Speaker 2: I don't know. 776 00:38:23,120 --> 00:38:24,239 Speaker 6: Yeah, I don't know. 777 00:38:24,360 --> 00:38:25,279 Speaker 2: I'm today. 778 00:38:25,320 --> 00:38:26,480 Speaker 6: Ye, you just think I'm gonna go. 779 00:38:27,360 --> 00:38:28,120 Speaker 5: But eighteen bucks? 780 00:38:28,800 --> 00:38:30,560 Speaker 2: So what would you pay? Would you pay twenty four 781 00:38:30,640 --> 00:38:31,200 Speaker 2: ninety nine? 782 00:38:32,000 --> 00:38:32,239 Speaker 12: No? 783 00:38:32,520 --> 00:38:33,040 Speaker 6: I don't think. 784 00:38:33,040 --> 00:38:34,719 Speaker 11: I think I would have to go for the commercials, 785 00:38:34,800 --> 00:38:37,000 Speaker 11: even though my kids are like, we don't do commercials. 786 00:38:37,040 --> 00:38:38,719 Speaker 5: I don't care, I don't. 787 00:38:39,520 --> 00:38:44,520 Speaker 11: I mean, So that's that iPhones, right, We've been hearing 788 00:38:44,520 --> 00:38:46,720 Speaker 11: different stories about how much the price of an Apple 789 00:38:46,800 --> 00:38:49,680 Speaker 11: iPhone can go up because of all this tariff uncertainty. 790 00:38:50,200 --> 00:38:53,040 Speaker 11: Business Insider actually went to all these Reddit posts people 791 00:38:53,080 --> 00:38:55,360 Speaker 11: talking about it, and they're saying what they're doing to 792 00:38:55,480 --> 00:39:00,000 Speaker 11: avoid these pricey upgrades save money on the device. For example, 793 00:39:00,160 --> 00:39:02,640 Speaker 11: some are doing the maintenance now right, they're they're doing 794 00:39:02,680 --> 00:39:05,319 Speaker 11: the upgrade now, But others are keeping up with the 795 00:39:05,360 --> 00:39:08,680 Speaker 11: battery life because that's what seems to go first. When 796 00:39:08,719 --> 00:39:10,520 Speaker 11: you have your phone. It's always like, oh, the battery 797 00:39:10,560 --> 00:39:12,480 Speaker 11: is dying. I need an upgrade, And they're saying, no, 798 00:39:12,880 --> 00:39:15,000 Speaker 11: you just need a new battery. So they're saying you 799 00:39:15,000 --> 00:39:17,560 Speaker 11: could do something like that. It's about ninety nine bucks 800 00:39:17,640 --> 00:39:19,760 Speaker 11: or so you can get the new battery. 801 00:39:19,800 --> 00:39:21,040 Speaker 5: But something else they're doing. 802 00:39:21,040 --> 00:39:23,720 Speaker 11: They're saying iPhones come with this limited one year warranty 803 00:39:23,760 --> 00:39:24,920 Speaker 11: that you might not even. 804 00:39:24,719 --> 00:39:25,480 Speaker 5: Know that you have. 805 00:39:25,880 --> 00:39:28,840 Speaker 11: So it has it, so go check it out. And 806 00:39:28,880 --> 00:39:31,399 Speaker 11: they also have this Apple Care plus thing. It's about 807 00:39:31,440 --> 00:39:32,319 Speaker 11: fourteen bucks a month. 808 00:39:32,400 --> 00:39:33,239 Speaker 2: I do Apple Care. 809 00:39:33,400 --> 00:39:36,360 Speaker 5: You do do the Apple Care. See, I haven't. 810 00:39:36,080 --> 00:39:36,640 Speaker 6: Even heard of that. 811 00:39:36,719 --> 00:39:39,880 Speaker 11: I have to get it today because the crews, the repairs, 812 00:39:39,920 --> 00:39:40,640 Speaker 11: the replacement. 813 00:39:40,719 --> 00:39:41,600 Speaker 5: If you lose it. 814 00:39:41,840 --> 00:39:44,319 Speaker 3: I mean if you get them on the phone, they 815 00:39:44,400 --> 00:39:48,560 Speaker 3: treat you differently than just the numbers, is what they would. 816 00:39:48,800 --> 00:39:51,400 Speaker 11: Did you know you're paying fourteen dollars Worset. 817 00:39:51,120 --> 00:39:53,080 Speaker 2: Apple in two weeks. We don't have a clue. 818 00:39:53,680 --> 00:39:53,960 Speaker 10: I don't know. 819 00:39:54,040 --> 00:39:56,600 Speaker 6: We have no clue where the economy is. 820 00:39:57,000 --> 00:39:59,560 Speaker 3: You know, the uncertainty of your folks off the chart. 821 00:39:59,560 --> 00:40:01,920 Speaker 3: Good morning, Nick Booth out of Stanford one. 822 00:40:02,239 --> 00:40:03,000 Speaker 6: What do you okay? 823 00:40:03,120 --> 00:40:04,919 Speaker 11: You touched on this a little bit, all the talk 824 00:40:05,000 --> 00:40:08,280 Speaker 11: right Rory McRoy victory the Masters. I have the numbers 825 00:40:08,320 --> 00:40:10,040 Speaker 11: for you because you were talking about the ratings and 826 00:40:10,040 --> 00:40:11,080 Speaker 11: how much people watching it. 827 00:40:11,280 --> 00:40:11,880 Speaker 5: CBS that it. 828 00:40:11,920 --> 00:40:15,760 Speaker 11: Attracted twelve point seven million viewers Sunday. That's a thirty 829 00:40:15,800 --> 00:40:19,600 Speaker 11: three percent increase from last year when Scotti Sheffield he won. 830 00:40:19,719 --> 00:40:22,600 Speaker 11: It's the most watched match up, yes, since twenty. 831 00:40:22,360 --> 00:40:27,759 Speaker 5: Eighteen Sheffield he played with them Scheffler Scheffler. Uh so 832 00:40:27,800 --> 00:40:29,520 Speaker 5: it was the most watched one, yes, twenty eighteen. 833 00:40:29,640 --> 00:40:31,680 Speaker 11: So I mean this tournament really needs the boost too. 834 00:40:31,680 --> 00:40:34,360 Speaker 11: Then then the article kind of gets into that as well. 835 00:40:36,840 --> 00:40:39,000 Speaker 7: Boy, I don't know what they changed, Yeah, one of 836 00:40:39,000 --> 00:40:41,040 Speaker 7: the other I think it might be the British I'm 837 00:40:41,080 --> 00:40:43,439 Speaker 7: not sure the Open Championship as they call it, not sure, 838 00:40:43,520 --> 00:40:45,759 Speaker 7: but they've got them spaced out pretty much throughout the year. 839 00:40:45,920 --> 00:40:47,800 Speaker 2: Okay, is that all you got today? 840 00:40:47,960 --> 00:40:48,200 Speaker 5: I did? 841 00:40:48,239 --> 00:40:48,399 Speaker 3: Well? 842 00:40:48,440 --> 00:40:50,919 Speaker 12: You know what you talked about the Blue Origin playing. 843 00:40:51,000 --> 00:40:51,440 Speaker 2: Yeah? How that? 844 00:40:51,880 --> 00:40:52,040 Speaker 6: Well? 845 00:40:52,080 --> 00:40:53,920 Speaker 12: You know what, a lot of people have been giving 846 00:40:54,000 --> 00:40:57,440 Speaker 12: them some backlash, Gail King, Lauren Sanchez, a lot of 847 00:40:57,480 --> 00:41:01,759 Speaker 12: celebrities because they're saying it was commercial lies and it 848 00:41:01,880 --> 00:41:02,680 Speaker 12: is a commercial flight. 849 00:41:02,800 --> 00:41:05,000 Speaker 2: It's for rich people. I get it. I'm not going 850 00:41:05,040 --> 00:41:07,200 Speaker 2: to pay one hundred and fifty thousand Base Bay. 851 00:41:07,560 --> 00:41:09,200 Speaker 6: Why are they there? 852 00:41:09,239 --> 00:41:10,719 Speaker 2: Why are they giving him garbage? 853 00:41:10,760 --> 00:41:13,400 Speaker 11: I'm serious, because they're just saying that they were sellouts. 854 00:41:13,400 --> 00:41:16,640 Speaker 11: They also have the environmental factor for it. Does you 855 00:41:16,680 --> 00:41:19,840 Speaker 11: know it's no point just going up, going into the environment. 856 00:41:19,960 --> 00:41:23,800 Speaker 3: We upset the desert of Texas when the capsule landed. 857 00:41:24,480 --> 00:41:29,320 Speaker 1: This is the Bloomberg Surveillance podcast, available on Apple, Spotify, 858 00:41:29,440 --> 00:41:33,720 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 859 00:41:33,840 --> 00:41:37,080 Speaker 1: seven to ten am Easter and on Bloomberg dot Com, 860 00:41:37,239 --> 00:41:41,040 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business app. 861 00:41:41,360 --> 00:41:44,400 Speaker 1: You can also watch us live every weekday on YouTube 862 00:41:44,760 --> 00:41:46,760 Speaker 1: and always on the Bloomberg terminal,