1 00:00:00,080 --> 00:00:02,719 Speaker 1: I'm here with JP Morgan, CEO and chair of Jamie 2 00:00:02,720 --> 00:00:05,920 Speaker 1: Diamond in London on the sidelines of the Tech Stars 3 00:00:06,000 --> 00:00:06,680 Speaker 1: Leadership Forum. 4 00:00:06,760 --> 00:00:08,640 Speaker 2: Jamie, thank you so much for joining us today. 5 00:00:08,760 --> 00:00:09,480 Speaker 3: Thrilled to be here. 6 00:00:10,000 --> 00:00:13,360 Speaker 1: So we just saw a few tech companies go public, Instacart, 7 00:00:13,840 --> 00:00:15,000 Speaker 1: Arm clavy O. 8 00:00:15,920 --> 00:00:18,360 Speaker 2: What's happening in the markets? Are we back or is 9 00:00:18,400 --> 00:00:18,960 Speaker 2: this a blimp? 10 00:00:19,480 --> 00:00:22,479 Speaker 4: I think it's open for now for different types of companies. 11 00:00:22,520 --> 00:00:25,200 Speaker 4: But you see IPO markets like an accordion. I think 12 00:00:25,239 --> 00:00:27,479 Speaker 4: there were like four hundred plus deals in twenty one 13 00:00:27,600 --> 00:00:30,200 Speaker 4: and forty and twenty two, and I think something like 14 00:00:30,640 --> 00:00:33,680 Speaker 4: fifty or sixty this year. Obviously, interest rates change a lot. 15 00:00:33,720 --> 00:00:35,640 Speaker 4: What help you evalue it whether it we go public? 16 00:00:35,840 --> 00:00:38,000 Speaker 4: The value of cash flows or earnings and cash council 17 00:00:38,159 --> 00:00:40,800 Speaker 4: bit more than accounta before. But for now it's open. 18 00:00:41,120 --> 00:00:43,559 Speaker 4: Markets are healthy, you know, the commune is still okay. 19 00:00:44,040 --> 00:00:46,680 Speaker 4: So it's open. Maybe not for everybody, but it's open. 20 00:00:46,920 --> 00:00:49,760 Speaker 1: Given we're in London, you don't see the same wealth 21 00:00:49,800 --> 00:00:52,920 Speaker 1: of tech companies that you see in Silicon Valley. They 22 00:00:52,960 --> 00:00:55,640 Speaker 1: want more big star tech companies here. Why haven't we 23 00:00:55,760 --> 00:00:56,160 Speaker 1: seen that? 24 00:00:56,360 --> 00:00:57,920 Speaker 4: Yeah, I think it's the i'd look at their way 25 00:00:57,920 --> 00:01:01,400 Speaker 4: around US was the center of tech, you know, not 26 00:01:01,440 --> 00:01:02,360 Speaker 4: just Silicon Valley. 27 00:01:02,520 --> 00:01:03,600 Speaker 3: It's all over America. 28 00:01:03,600 --> 00:01:07,240 Speaker 4: I recently came from you know, Boise and other places. 29 00:01:07,280 --> 00:01:10,440 Speaker 4: It's staggering. But so the dasper has actually moved overseas. 30 00:01:10,480 --> 00:01:13,040 Speaker 4: You have some I was recent in Berlin and Paris. 31 00:01:13,120 --> 00:01:15,399 Speaker 4: There are tech star ups everywhere now they're quite good. 32 00:01:15,440 --> 00:01:17,720 Speaker 4: They're more of a going public and we're the leader 33 00:01:17,720 --> 00:01:19,640 Speaker 4: of taking them public here. So I think it's a 34 00:01:19,640 --> 00:01:22,200 Speaker 4: great thing. And obviously you always had it in China, 35 00:01:22,360 --> 00:01:25,279 Speaker 4: a little bit India. Still it's not in the Europe. 36 00:01:25,280 --> 00:01:27,080 Speaker 4: It's not quite the United States. But the fact that 37 00:01:27,080 --> 00:01:28,240 Speaker 4: this here is a very good thing. 38 00:01:28,959 --> 00:01:31,959 Speaker 1: JP Morgan's tech footprint has gotten even bigger now that 39 00:01:32,000 --> 00:01:33,720 Speaker 1: we've seen clients flood out of SVB. 40 00:01:33,920 --> 00:01:35,119 Speaker 2: You bought First Republic. 41 00:01:35,480 --> 00:01:38,800 Speaker 1: How big is the opportunity to be the new incumbent 42 00:01:38,840 --> 00:01:42,840 Speaker 1: bank for startups and vcs And how will you, Jamie Diamond, 43 00:01:43,080 --> 00:01:44,200 Speaker 1: manage the risk differently? 44 00:01:44,360 --> 00:01:46,360 Speaker 4: Yeah, I think first of all, we didn't want to 45 00:01:46,400 --> 00:01:48,280 Speaker 4: benefit in the world by that kind of thing happening, 46 00:01:48,280 --> 00:01:50,160 Speaker 4: So it wasn't good for banks or good for us. 47 00:01:50,520 --> 00:01:52,160 Speaker 3: Having said that, when that happened, you know. 48 00:01:52,160 --> 00:01:55,040 Speaker 4: We had people working around the clock literally to open 49 00:01:55,040 --> 00:01:57,680 Speaker 4: those accounts. I recently came from a Sequoia thing. I know, 50 00:01:57,760 --> 00:02:01,400 Speaker 4: a lot of the benure capitalists, you know, Saturday, Sundays 51 00:02:01,480 --> 00:02:04,000 Speaker 4: through the nights, you know, to onboard these accounts and 52 00:02:04,000 --> 00:02:06,280 Speaker 4: help them through it. And you know, one of the 53 00:02:06,320 --> 00:02:08,600 Speaker 4: great and we always were there. We always did Okay, 54 00:02:08,639 --> 00:02:09,280 Speaker 4: I always want. 55 00:02:09,200 --> 00:02:12,000 Speaker 3: To do better. We're going to We're adding people. 56 00:02:12,240 --> 00:02:14,600 Speaker 4: I think the biggest different Silicon Valley Bank before I 57 00:02:14,600 --> 00:02:17,079 Speaker 4: get the first Republic is they did a great job 58 00:02:17,120 --> 00:02:19,120 Speaker 4: at some of the stuff. So obviously there's certain things 59 00:02:19,160 --> 00:02:21,440 Speaker 4: they did on a macro level which weren't right. They 60 00:02:21,480 --> 00:02:23,359 Speaker 4: did a lot of things at the micro level that right. 61 00:02:23,560 --> 00:02:25,840 Speaker 4: How they dealt with the client, how they service them. 62 00:02:25,880 --> 00:02:29,240 Speaker 4: They serve them locally. So we have unbelievable products and 63 00:02:29,240 --> 00:02:34,560 Speaker 4: service to bring them digital, consumer subscription lines, financing, globality research, 64 00:02:34,960 --> 00:02:36,760 Speaker 4: you name it. But we have to deliver to them 65 00:02:36,760 --> 00:02:38,880 Speaker 4: in a way they actually like it and they want it, 66 00:02:39,000 --> 00:02:41,600 Speaker 4: which is what Silicon Valley Bank did. So we're organizing 67 00:02:41,639 --> 00:02:43,600 Speaker 4: around it. If you speak to a bunch of people here, 68 00:02:43,680 --> 00:02:45,360 Speaker 4: you can hear them talk about, you know, we're adding 69 00:02:45,440 --> 00:02:46,760 Speaker 4: We just took out a whole bunch of new space 70 00:02:46,800 --> 00:02:49,000 Speaker 4: in pow Out. Though we hired John Cheena is one 71 00:02:49,000 --> 00:02:51,440 Speaker 4: of the top people out of Silicon Valley Bank. We 72 00:02:51,680 --> 00:02:54,960 Speaker 4: organized around the innovation economy. We'll get it right. I 73 00:02:55,040 --> 00:02:56,840 Speaker 4: just want to make sure they're happy with us a 74 00:02:56,880 --> 00:02:58,680 Speaker 4: year from now, not just just today. 75 00:02:58,800 --> 00:02:59,760 Speaker 3: Oh, I remember already. 76 00:03:01,840 --> 00:03:04,160 Speaker 4: That's what we do all day long. It's not it's 77 00:03:04,200 --> 00:03:07,079 Speaker 4: for us. It's incremental risk. It's a slightly different kind 78 00:03:07,120 --> 00:03:09,360 Speaker 4: of risk. So, you know, and this happened years ago. 79 00:03:09,919 --> 00:03:12,320 Speaker 4: Would to bank lend to a non revenue company? Well 80 00:03:12,360 --> 00:03:14,680 Speaker 4: the answer, you know, twenty years ago was zero. But 81 00:03:14,760 --> 00:03:17,360 Speaker 4: we did Facebook. So we've learned how you can do 82 00:03:17,400 --> 00:03:20,520 Speaker 4: that when you do that. But again, the risk is 83 00:03:20,680 --> 00:03:23,680 Speaker 4: it's not a risk. It's the venture capital company, it's 84 00:03:23,720 --> 00:03:25,360 Speaker 4: the venture capital partners. 85 00:03:25,639 --> 00:03:27,000 Speaker 3: It's then they are. 86 00:03:27,160 --> 00:03:32,000 Speaker 4: Investee companies, it's the investing companies, managements, it's that whole ecosystem. 87 00:03:32,040 --> 00:03:33,639 Speaker 3: And so we're just organizing around it. 88 00:03:33,720 --> 00:03:35,920 Speaker 1: You've got a top notch group investigating AI. 89 00:03:36,680 --> 00:03:37,400 Speaker 2: What are they up to. 90 00:03:37,720 --> 00:03:41,080 Speaker 1: What's the next level of finance you think AI can unlock? 91 00:03:41,240 --> 00:03:43,280 Speaker 4: Yeah, so I think the most important thing is that 92 00:03:43,360 --> 00:03:45,920 Speaker 4: it's AI is real We already have thousands of people 93 00:03:46,000 --> 00:03:49,320 Speaker 4: doing it top sciences around their own. Manu level Velosa, 94 00:03:49,840 --> 00:03:53,680 Speaker 4: who ran Carnegie mellon machine learning. It's a living breathing thing. 95 00:03:53,720 --> 00:03:55,720 Speaker 4: So people want to answer, what's going to do. It's 96 00:03:55,760 --> 00:03:58,000 Speaker 4: a living breathing thing. It's going to change. They're gonna 97 00:03:58,000 --> 00:04:00,120 Speaker 4: be all different types of models and different types of 98 00:04:00,160 --> 00:04:01,240 Speaker 4: tools and technology. 99 00:04:01,640 --> 00:04:03,240 Speaker 3: But the way to think about for us. 100 00:04:03,200 --> 00:04:07,800 Speaker 4: Is every single process, so errors, trading, hedging, research, every 101 00:04:07,880 --> 00:04:10,760 Speaker 4: app every database, you can be applying AI. So it 102 00:04:10,840 --> 00:04:13,800 Speaker 4: might be as a copilot, it might be to replace humans. 103 00:04:13,920 --> 00:04:15,960 Speaker 4: You know, AI is doing all the equity hedging for us. 104 00:04:16,160 --> 00:04:19,960 Speaker 4: For the most part, it's idea generation, it's large language models, 105 00:04:20,240 --> 00:04:23,039 Speaker 4: it's no taking while you're talking to someone and while 106 00:04:23,040 --> 00:04:24,719 Speaker 4: it's taking notes and may actually say to you that, 107 00:04:24,760 --> 00:04:26,760 Speaker 4: you know, here's the thing of interest to climb my Peterson, 108 00:04:27,120 --> 00:04:29,839 Speaker 4: all error, all customer service, it's a little bit of everything. 109 00:04:29,880 --> 00:04:31,800 Speaker 2: But it is going to replace some jobs, of course. 110 00:04:31,880 --> 00:04:34,599 Speaker 4: Yeah, but I look, folks, people have to take a 111 00:04:34,600 --> 00:04:39,200 Speaker 4: deep breath. Okay, Technologies always replace jobs. Your children live 112 00:04:39,240 --> 00:04:42,000 Speaker 4: to one hundred and not have cancer because of technology, 113 00:04:42,040 --> 00:04:44,040 Speaker 4: and literally they'll probably be working three and a half 114 00:04:44,120 --> 00:04:47,600 Speaker 4: days a week. So technology has done unbelievable things for mankind. 115 00:04:47,880 --> 00:04:51,400 Speaker 4: But you know, plans crash, pharmaceuies get misused. There are negatives. 116 00:04:51,480 --> 00:04:53,440 Speaker 4: This is one of the biggest negative of my view, 117 00:04:53,480 --> 00:04:56,679 Speaker 4: is AI being used by bad people to do bad things. 118 00:04:56,960 --> 00:05:00,960 Speaker 4: Think of cyber You know, Henry Kistener talks about warfare, 119 00:05:01,920 --> 00:05:03,760 Speaker 4: but you know the fact and I do think you know, 120 00:05:03,800 --> 00:05:06,359 Speaker 4: eventually have legal guardrails around. It's kind of hard to 121 00:05:06,360 --> 00:05:09,799 Speaker 4: do because it's new, but it will add a huge value. 122 00:05:10,080 --> 00:05:11,800 Speaker 3: And you know, for JP Morgan, if it. 123 00:05:11,760 --> 00:05:14,840 Speaker 4: Replaces jobs, and we hope to redeploy people like at 124 00:05:14,839 --> 00:05:17,960 Speaker 4: First Republic. You know, we've offered jobs to like ninety 125 00:05:17,960 --> 00:05:21,560 Speaker 4: percent of the people they accepted, but we also you know, 126 00:05:21,600 --> 00:05:24,800 Speaker 4: we've told them as we some of those jobs are transitory, 127 00:05:25,040 --> 00:05:27,479 Speaker 4: but we hire thirty thousand people a year, so we 128 00:05:27,680 --> 00:05:29,640 Speaker 4: expect to be able to get them a job somewhere 129 00:05:29,640 --> 00:05:32,200 Speaker 4: local and a different branch or a different function if 130 00:05:32,240 --> 00:05:34,000 Speaker 4: we can do that, and we'll be doing that with 131 00:05:34,080 --> 00:05:37,279 Speaker 4: any dislocation that takes place as a result AI. 132 00:05:37,480 --> 00:05:40,240 Speaker 1: I want the Jamie Damon forecast on the broader economy. 133 00:05:40,360 --> 00:05:42,719 Speaker 1: First it was hurricanes, and then it was storm clouds 134 00:05:42,720 --> 00:05:43,560 Speaker 1: in your annual letter. 135 00:05:43,600 --> 00:05:44,520 Speaker 2: What's the weather now? 136 00:05:45,360 --> 00:05:48,159 Speaker 4: You guys have consistently got this wrong. Okay, I'm not 137 00:05:48,279 --> 00:05:52,679 Speaker 4: giving a forecast. I'm trying to I blame myself. 138 00:05:52,800 --> 00:05:54,719 Speaker 3: Okay. The US has. 139 00:05:54,600 --> 00:05:57,920 Speaker 4: Been very strong for a while, no surprise, five trillion 140 00:05:57,960 --> 00:06:00,960 Speaker 4: dollars was pump pumped in fiscally, you know, three trillion 141 00:06:01,040 --> 00:06:03,760 Speaker 4: or four trillion of QE, and now that's being reversed. 142 00:06:03,960 --> 00:06:06,279 Speaker 4: The consumer is still in good shape. They're still spending money. 143 00:06:06,279 --> 00:06:09,160 Speaker 4: There's still have more money than pre COVID. It's spending down. 144 00:06:09,440 --> 00:06:12,120 Speaker 4: Home prize is gone for fifteen years, ASCID prize are 145 00:06:12,120 --> 00:06:14,719 Speaker 4: gone for fifteen years. They're in pretty good shape. And 146 00:06:14,760 --> 00:06:18,000 Speaker 4: then the people are talking about deterioration. Credit is not 147 00:06:18,040 --> 00:06:20,799 Speaker 4: to Terra and credit card all time highs, not inflation 148 00:06:20,880 --> 00:06:25,400 Speaker 4: adjusted or GDP adjusted or income adjusted, And yeah, it's deterrrians. 149 00:06:25,520 --> 00:06:27,960 Speaker 4: We think there's normalizing and the corporate credit has been 150 00:06:28,000 --> 00:06:28,360 Speaker 4: quite good. 151 00:06:28,360 --> 00:06:29,599 Speaker 3: So you have a strong economy. 152 00:06:29,960 --> 00:06:33,000 Speaker 4: That's the here and now, and all the data is 153 00:06:33,040 --> 00:06:35,120 Speaker 4: a little distorted because of COVID and things like that. 154 00:06:35,320 --> 00:06:37,120 Speaker 4: When you ask the question about a forecast, and I 155 00:06:37,160 --> 00:06:39,840 Speaker 4: don't make forecasts, I look out there and say, what 156 00:06:39,880 --> 00:06:41,880 Speaker 4: are the range of outcomes. 157 00:06:41,600 --> 00:06:43,000 Speaker 2: From hurricane to storm clouds? 158 00:06:43,080 --> 00:06:45,800 Speaker 4: No, I put as several storm clouds. I said, when 159 00:06:45,839 --> 00:06:48,680 Speaker 4: I said hurricane, I was correcting. Someone said the storm 160 00:06:48,720 --> 00:06:51,360 Speaker 4: clouds dissipate. I said, no, that one may be a hurricane. 161 00:06:51,920 --> 00:06:54,920 Speaker 4: We don't know what it is. Here's what they are. 162 00:06:55,000 --> 00:06:58,000 Speaker 4: They're two of them that are different than other things. 163 00:06:58,080 --> 00:06:59,880 Speaker 4: So we always have you know, I don't worry about 164 00:06:59,880 --> 00:07:01,600 Speaker 4: the weather, and I honestly I spend a lot of 165 00:07:01,600 --> 00:07:04,720 Speaker 4: time guessing about the economy, and that to me is 166 00:07:04,760 --> 00:07:07,520 Speaker 4: the sunnier rainier. I don't worry about that. We run 167 00:07:07,520 --> 00:07:10,640 Speaker 4: the company to serve clients through thick and thin. That's 168 00:07:10,680 --> 00:07:14,280 Speaker 4: what we do, to serve governments, to satisfy our regulators, 169 00:07:14,600 --> 00:07:17,080 Speaker 4: and that that's all weather. But there are two things 170 00:07:17,080 --> 00:07:20,000 Speaker 4: which are extraordinary today which may have different outcomes. And 171 00:07:20,080 --> 00:07:22,480 Speaker 4: think of them as storm clouds. We don't know if 172 00:07:22,520 --> 00:07:26,400 Speaker 4: they're gonna hit, when they're gonna hit, what they're gonna do, Okay, 173 00:07:26,480 --> 00:07:26,880 Speaker 4: So I'm. 174 00:07:26,720 --> 00:07:29,280 Speaker 3: Not predicting that. I'll tell you what I worry about. 175 00:07:29,600 --> 00:07:32,720 Speaker 4: So one is the fiscal money being spent is so big, 176 00:07:33,200 --> 00:07:36,600 Speaker 4: largest in UH peacetime ever in America. And kind of 177 00:07:36,640 --> 00:07:39,840 Speaker 4: around the world with already very high deficits and QT 178 00:07:40,000 --> 00:07:42,680 Speaker 4: we've never had, so I know some people think QT 179 00:07:43,000 --> 00:07:44,160 Speaker 4: will be uneventful. 180 00:07:44,560 --> 00:07:45,520 Speaker 3: I'm not so sure. 181 00:07:45,960 --> 00:07:49,400 Speaker 4: At a minimum, I expect volatile markets, and then you've 182 00:07:49,440 --> 00:07:52,280 Speaker 4: got and then all the long term fiscal things are 183 00:07:52,320 --> 00:07:55,960 Speaker 4: kind of inflationary. You know, oil prices, certain commodity prices, 184 00:07:56,000 --> 00:07:59,520 Speaker 4: the green economy, you know, the restruction of trade, you 185 00:07:59,600 --> 00:08:02,920 Speaker 4: name it. I see it's ed interflation, not subtracting inflation. 186 00:08:03,000 --> 00:08:05,560 Speaker 4: So I don't think inflationary will be that, you know, 187 00:08:05,680 --> 00:08:08,400 Speaker 4: keep on coming down. It may not, and therefore rates 188 00:08:08,400 --> 00:08:11,679 Speaker 4: may go higher. But the biggest dorm claus geopolitical, it's Ukraine, 189 00:08:11,760 --> 00:08:14,520 Speaker 4: the humanitarian crisis. You know, it's a war not far 190 00:08:14,560 --> 00:08:17,800 Speaker 4: from here. It's along six hundred miles, five hundred thousand 191 00:08:17,800 --> 00:08:21,560 Speaker 4: people killed. It's nuclear blackmail. It's going to affect old 192 00:08:21,560 --> 00:08:24,680 Speaker 4: global relationships in America and China, trade alliances. We don't 193 00:08:24,680 --> 00:08:26,200 Speaker 4: know how it's going to start either. So I just 194 00:08:26,240 --> 00:08:28,760 Speaker 4: put those two things. Is I keep a close eye 195 00:08:28,800 --> 00:08:31,280 Speaker 4: on and then how it affects the economy is different. 196 00:08:31,480 --> 00:08:33,560 Speaker 3: And what I've been talking about that is I just 197 00:08:33,600 --> 00:08:36,000 Speaker 3: tell you be prepared for higher rates. 198 00:08:35,800 --> 00:08:38,160 Speaker 2: And slower Are we really going there? 199 00:08:38,200 --> 00:08:39,040 Speaker 3: And I don't know. 200 00:08:39,120 --> 00:08:41,319 Speaker 4: When I said five percent, they said, are we going there? Yes, 201 00:08:41,320 --> 00:08:43,600 Speaker 4: it's possible, you know, so I when I talk to 202 00:08:43,640 --> 00:08:45,600 Speaker 4: my board, I say, yeah it can it. 203 00:08:45,640 --> 00:08:46,439 Speaker 3: Go to seven percent? 204 00:08:46,520 --> 00:08:49,200 Speaker 4: The answers yes, are the factors that would drive it, 205 00:08:49,320 --> 00:08:51,640 Speaker 4: you know, higher than you know where it is today? 206 00:08:51,960 --> 00:08:54,240 Speaker 4: You know four and a four six or four seventnsombout 207 00:08:54,240 --> 00:08:57,880 Speaker 4: ten year bond. Now, yes, is supply and demand could 208 00:08:57,880 --> 00:09:02,000 Speaker 4: push I yes, I'm just be prepared for it. And 209 00:09:03,400 --> 00:09:06,360 Speaker 4: then the worst case is stackflation. You know, higher rates 210 00:09:06,360 --> 00:09:07,920 Speaker 4: because you have a booming economy and there's a lot 211 00:09:07,920 --> 00:09:10,959 Speaker 4: of competition for capital is not the same thing as stagflation. 212 00:09:11,440 --> 00:09:13,880 Speaker 1: What are what are the ripple effects of the stress 213 00:09:13,880 --> 00:09:16,080 Speaker 1: of that seven percent rates on business? 214 00:09:16,120 --> 00:09:17,240 Speaker 2: On your growth? 215 00:09:17,520 --> 00:09:20,520 Speaker 4: Well, I'm not worried about japing Morgan shaping world. You know, 216 00:09:20,679 --> 00:09:23,679 Speaker 4: we are prepared. We can handle seven percent. We can 217 00:09:23,720 --> 00:09:27,040 Speaker 4: handle two percent again, Yeah, we can handle that too. 218 00:09:27,280 --> 00:09:30,160 Speaker 4: I mean that's I mean, so that's that risk management 219 00:09:30,200 --> 00:09:31,720 Speaker 4: is not the same thing as guests in the future. 220 00:09:32,160 --> 00:09:34,640 Speaker 4: When risk manager look at the range of potential outcomes 221 00:09:34,920 --> 00:09:36,400 Speaker 4: and being able to say yourself, we can handle this. 222 00:09:36,640 --> 00:09:37,160 Speaker 3: We can have this. 223 00:09:37,280 --> 00:09:39,440 Speaker 4: Weever, we expect it and we can handle it in between. 224 00:09:39,520 --> 00:09:40,920 Speaker 4: You know, if you bet your company and you know 225 00:09:41,000 --> 00:09:43,559 Speaker 4: one outcome, So I think all companies do that, you know, 226 00:09:43,600 --> 00:09:46,640 Speaker 4: and every company's got different exposures, you know, input prices 227 00:09:46,640 --> 00:09:49,080 Speaker 4: and output prices. You know, some interust rates don't matter. 228 00:09:49,120 --> 00:09:50,680 Speaker 4: It's some it's the price of mozzarella. 229 00:09:51,000 --> 00:09:52,559 Speaker 3: So you know what, it's your business. 230 00:09:52,720 --> 00:09:56,040 Speaker 4: Your business is different, sou But I think we don't 231 00:09:56,080 --> 00:09:57,920 Speaker 4: know the effects of these things in the economy. So 232 00:09:57,960 --> 00:10:00,440 Speaker 4: they may we may have a soft land, we may 233 00:10:00,440 --> 00:10:02,480 Speaker 4: have a mild recession, may have a harder recession. 234 00:10:02,840 --> 00:10:03,000 Speaker 2: You know. 235 00:10:03,120 --> 00:10:06,040 Speaker 4: Obviously there are potential bid outcomes. You know, the worst 236 00:10:06,040 --> 00:10:10,040 Speaker 4: one would be economically is taflation, where you have low growth, 237 00:10:10,559 --> 00:10:13,280 Speaker 4: high interest rates, and obviously if that happens, you're gonna see, 238 00:10:13,400 --> 00:10:14,640 Speaker 4: you know, a lot of people struggling. 239 00:10:14,720 --> 00:10:16,280 Speaker 2: Where's China on the list of risks? 240 00:10:16,960 --> 00:10:19,720 Speaker 4: When I say geopolitical, that's the big one. It's it's 241 00:10:19,760 --> 00:10:24,960 Speaker 4: the it's the thread from Ukraine, oil and gas, food, migration, 242 00:10:25,679 --> 00:10:29,000 Speaker 4: all our relationships, the most important one being China. That 243 00:10:29,160 --> 00:10:31,120 Speaker 4: is the most important for the future of the world, 244 00:10:31,679 --> 00:10:34,480 Speaker 4: and obviously Ukraine is affecting it. And in fact, it's 245 00:10:34,600 --> 00:10:37,720 Speaker 4: very hard to see really positive outcomes with China until 246 00:10:38,000 --> 00:10:41,800 Speaker 4: the Ukraine War is resolved, hopefully, whether Ukraine is cold, 247 00:10:41,800 --> 00:10:43,480 Speaker 4: say they have a victory of some sort. 248 00:10:43,679 --> 00:10:45,840 Speaker 2: You said you're worried about another Trump presidency. 249 00:10:46,000 --> 00:10:50,000 Speaker 4: How worried, I don't know if I've said that. I'm 250 00:10:50,040 --> 00:10:55,319 Speaker 4: hoping the American public. Look, we need good American leadership, 251 00:10:55,840 --> 00:10:58,040 Speaker 4: and I think that we need to explain to people 252 00:10:58,040 --> 00:10:59,920 Speaker 4: why it's so important for the world, you know. 253 00:11:00,080 --> 00:11:00,920 Speaker 3: And so there's a little bit of this. 254 00:11:01,000 --> 00:11:04,680 Speaker 4: You know, America first, and no American president is going 255 00:11:04,760 --> 00:11:08,040 Speaker 4: to say America second. But we need to explain is 256 00:11:08,080 --> 00:11:12,000 Speaker 4: why Ukraine is important to us, and why American security 257 00:11:12,000 --> 00:11:15,400 Speaker 4: relies on global security, and why are allies rely on 258 00:11:15,480 --> 00:11:18,920 Speaker 4: that And if they can't rely on America, they will 259 00:11:18,960 --> 00:11:21,280 Speaker 4: have to rely on someone else. And so I just 260 00:11:21,280 --> 00:11:23,160 Speaker 4: think it's very important, you know. Bob Gates writes in 261 00:11:23,200 --> 00:11:26,200 Speaker 4: his book The Exercise of Power about the symphony of 262 00:11:26,240 --> 00:11:29,360 Speaker 4: power and all the soft things, not the military, which 263 00:11:29,400 --> 00:11:36,880 Speaker 4: we've overused, but diplomacy, development, finance, education, communication, and obviously 264 00:11:37,000 --> 00:11:39,680 Speaker 4: economic trade, investment, all those things. 265 00:11:39,720 --> 00:11:42,079 Speaker 3: And I think we needed a better job in that we. 266 00:11:42,160 --> 00:11:45,280 Speaker 1: Just avoided another US government shutdown. Now there's talks of 267 00:11:45,320 --> 00:11:46,400 Speaker 1: a McCarthy auster. 268 00:11:46,800 --> 00:11:49,000 Speaker 2: Do you have a message for anyone in Congress. 269 00:11:49,400 --> 00:11:53,839 Speaker 4: Look, we need good policy makers. You know, shutdown is 270 00:11:53,880 --> 00:11:59,080 Speaker 4: a bad idea. I'm gratefully came up with solution. Democracies 271 00:11:59,400 --> 00:12:02,800 Speaker 4: by their names, you mean compromise. That's what a democracy is. 272 00:12:02,800 --> 00:12:04,360 Speaker 4: So I and there are a lot when I go 273 00:12:04,400 --> 00:12:06,280 Speaker 4: to Washington, you know, you see on the press all 274 00:12:06,320 --> 00:12:09,199 Speaker 4: the time the bad parts. They're also some great Congress folks, 275 00:12:09,520 --> 00:12:12,440 Speaker 4: great senators who want to get things done in the 276 00:12:12,480 --> 00:12:15,120 Speaker 4: interest the United States. And I'm glad they did this 277 00:12:15,160 --> 00:12:18,600 Speaker 4: particular one, of course, you know forty five days from now. 278 00:12:18,640 --> 00:12:21,079 Speaker 4: And you know, Kevin McCarthy's the Speaker of the House 279 00:12:21,280 --> 00:12:23,120 Speaker 4: and I wish him the best. I've known it for 280 00:12:23,160 --> 00:12:27,319 Speaker 4: many years. And he's got a tough hand. He's he's 281 00:12:27,320 --> 00:12:29,120 Speaker 4: got a tough hand, but he's doing okay so far. 282 00:12:29,600 --> 00:12:32,280 Speaker 1: Regulators have proposed new capital rules that banks have said 283 00:12:32,320 --> 00:12:34,520 Speaker 1: will make it tougher for Americans to get a mortgage. 284 00:12:34,520 --> 00:12:36,959 Speaker 1: But I'm curious when you look across the firm, what 285 00:12:37,000 --> 00:12:38,920 Speaker 1: businesses are going to have the biggest impact. 286 00:12:40,160 --> 00:12:40,760 Speaker 2: Break it down? 287 00:12:42,480 --> 00:12:45,200 Speaker 4: First of all, it's one hundred thousand pages long, so 288 00:12:45,240 --> 00:12:47,680 Speaker 4: you have to go buy product, buy service by country, 289 00:12:47,720 --> 00:12:51,120 Speaker 4: by cross border, by type. And then there's operational risk thing. 290 00:12:51,240 --> 00:12:53,640 Speaker 4: So you know, we're you know, I don't think it's 291 00:12:53,640 --> 00:12:54,360 Speaker 4: all the right stuff. 292 00:12:54,360 --> 00:12:54,600 Speaker 3: I don't. 293 00:12:54,600 --> 00:12:56,960 Speaker 4: I don't think it's very comprehensive or well thought through. 294 00:12:57,280 --> 00:12:59,719 Speaker 4: But let them do what they want at this point 295 00:13:00,080 --> 00:13:02,120 Speaker 4: international so you may not know if you're an American, 296 00:13:02,480 --> 00:13:04,720 Speaker 4: we have, though thirty percent more capital than European banks 297 00:13:04,760 --> 00:13:07,800 Speaker 4: the way it's currently constructed, what happened to the international requirements, 298 00:13:08,040 --> 00:13:10,319 Speaker 4: like when we spar like international level playing fields and 299 00:13:10,360 --> 00:13:13,040 Speaker 4: all this stuff like that. When you get into the specifics, 300 00:13:13,720 --> 00:13:16,640 Speaker 4: it really matters how the ultimate rules about mortgages and 301 00:13:16,679 --> 00:13:19,680 Speaker 4: small business loans, et cetera. In general, you know, it 302 00:13:19,720 --> 00:13:23,480 Speaker 4: makes like I don't like about it. For example, it 303 00:13:23,520 --> 00:13:28,600 Speaker 4: punishes diversification, operating risk capital and gcify and diversification is 304 00:13:28,600 --> 00:13:30,560 Speaker 4: one of the true free lunches for a bank that 305 00:13:30,600 --> 00:13:33,280 Speaker 4: protects it, and I don't understand why they do that, 306 00:13:33,360 --> 00:13:36,640 Speaker 4: and I just you know, we're going to be responding. 307 00:13:36,800 --> 00:13:42,160 Speaker 4: Hopefully it'll be modified and thoughtfully done for international purposes. 308 00:13:42,280 --> 00:13:44,880 Speaker 4: And mostly you know, America's got the best financial system 309 00:13:44,920 --> 00:13:47,679 Speaker 4: rules ever seen, and you know that includes head funds 310 00:13:47,720 --> 00:13:50,000 Speaker 4: and private equity and private capital all things like that. 311 00:13:50,280 --> 00:13:52,600 Speaker 4: But this is you know, I said that private equity 312 00:13:52,600 --> 00:13:54,520 Speaker 4: headfunds are dancing in the streets and this time they're 313 00:13:54,520 --> 00:13:56,880 Speaker 4: being quite public about it because this is going to 314 00:13:56,880 --> 00:13:58,360 Speaker 4: push a lot of stuff out of the banking system. 315 00:13:58,520 --> 00:14:00,120 Speaker 3: And if that's what the regulars. 316 00:13:59,760 --> 00:14:03,200 Speaker 4: Want so be, it is that good for America? 317 00:14:03,320 --> 00:14:03,720 Speaker 3: I don't know. 318 00:14:03,880 --> 00:14:07,240 Speaker 4: We've gone from seventy three hundred public companies in nineteen 319 00:14:07,320 --> 00:14:10,080 Speaker 4: ninety six to forty five hundred today. Is that what 320 00:14:10,080 --> 00:14:13,000 Speaker 4: we wanted? It should have been fourteen thousand. Did you 321 00:14:13,040 --> 00:14:15,280 Speaker 4: want a lot of credit to move private? You know, 322 00:14:15,360 --> 00:14:18,240 Speaker 4: maybe they did, you know, then they accomplished their goals. 323 00:14:18,640 --> 00:14:21,240 Speaker 1: The biggest tech companies prop up a huge chunk of 324 00:14:21,280 --> 00:14:21,840 Speaker 1: the SMP. 325 00:14:22,360 --> 00:14:24,760 Speaker 2: Is big tech too big to fail? 326 00:14:25,120 --> 00:14:28,040 Speaker 4: I think that's a too broader question. I think in 327 00:14:28,080 --> 00:14:31,280 Speaker 4: any industry, well, you say too big to fail, which 328 00:14:31,320 --> 00:14:33,920 Speaker 4: I've lost touch with her that really means anymore? Because remember, 329 00:14:34,000 --> 00:14:36,120 Speaker 4: car comes are bailed out and these things are bailed out, 330 00:14:36,120 --> 00:14:40,600 Speaker 4: and you know, I don't understand they should ask what 331 00:14:40,640 --> 00:14:42,720 Speaker 4: they want If the regulars don't want a bank to 332 00:14:42,800 --> 00:14:45,600 Speaker 4: ever fail again, then we should do ABC, D and 333 00:14:45,680 --> 00:14:48,280 Speaker 4: E if that's through. I didn't think that was the goal. 334 00:14:48,440 --> 00:14:50,920 Speaker 4: I think Dodd Frank actually accomplished most of the goals, 335 00:14:50,920 --> 00:14:54,080 Speaker 4: which is dramatically reduced to risk, create liquidity, capital stuff 336 00:14:54,120 --> 00:14:56,000 Speaker 4: like that. So and big tech, you got to be 337 00:14:56,120 --> 00:14:59,480 Speaker 4: very specific. You know, sometimes companies misuse their position and 338 00:14:59,520 --> 00:15:02,880 Speaker 4: sometimes they don't. Sometimes regulators captured and sometimes they don't. 339 00:15:03,120 --> 00:15:04,960 Speaker 3: You know, we but they're they're. 340 00:15:04,880 --> 00:15:06,640 Speaker 4: Powerful, you know, and we have to deal with I've 341 00:15:06,640 --> 00:15:09,800 Speaker 4: been writing about you know, big tech going to our business. 342 00:15:09,840 --> 00:15:12,040 Speaker 4: We got fintech, but we also have big tech and 343 00:15:12,320 --> 00:15:14,880 Speaker 4: they will embed payment systems in there to some we're 344 00:15:14,880 --> 00:15:17,000 Speaker 4: gonna white label banks kind of what Apple did. 345 00:15:17,480 --> 00:15:18,800 Speaker 3: Uh. You know, they have the right to do that. 346 00:15:18,920 --> 00:15:19,800 Speaker 3: I'm not against that. 347 00:15:20,120 --> 00:15:23,120 Speaker 4: I would be against unfair use of their position to 348 00:15:23,240 --> 00:15:24,360 Speaker 4: dominates in a business. 349 00:15:24,560 --> 00:15:27,480 Speaker 1: Well, Apple is going deeper into financial services. 350 00:15:27,520 --> 00:15:29,080 Speaker 2: Do you worry about the bank of Apple? 351 00:15:29,160 --> 00:15:29,960 Speaker 3: I wrote about it. 352 00:15:30,120 --> 00:15:33,240 Speaker 4: I wrote about like five years ago, you know, like 353 00:15:33,240 --> 00:15:35,760 Speaker 4: what is a bank? Well, I'm we'll get to compete, 354 00:15:35,840 --> 00:15:38,200 Speaker 4: so they have they have a tough competitor, but you know, 355 00:15:38,320 --> 00:15:40,320 Speaker 4: they hold money move money. 356 00:15:40,840 --> 00:15:41,000 Speaker 2: Uh. 357 00:15:41,040 --> 00:15:43,640 Speaker 4: They you could put money in a basically you know markets, 358 00:15:43,680 --> 00:15:47,320 Speaker 4: but white labeled checking account, credit card. 359 00:15:47,600 --> 00:15:49,560 Speaker 3: Uh, you know all these things. Yeah, they're a form 360 00:15:49,600 --> 00:15:50,240 Speaker 3: of a competitor. 361 00:15:50,400 --> 00:15:52,720 Speaker 4: You know, we also partner with them, but I'm very 362 00:15:52,800 --> 00:15:55,120 Speaker 4: used to partnering and competing with lots of people. 363 00:15:56,040 --> 00:15:57,360 Speaker 2: Existential threat. 364 00:15:57,960 --> 00:16:00,280 Speaker 4: I don't think it's an existential threat, but I think 365 00:16:00,320 --> 00:16:02,480 Speaker 4: if we were complacent about it. 366 00:16:02,600 --> 00:16:05,960 Speaker 1: Yes, Jamie Diamond, we're here to talk about tech. I'll 367 00:16:06,000 --> 00:16:09,120 Speaker 1: see you on stage. Jamie Diamond, Charing, CEO of JP Morgan, 368 00:16:09,200 --> 00:16:09,520 Speaker 1: thank you,