1 00:00:02,520 --> 00:00:07,000 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:07,840 --> 00:00:10,080 Speaker 2: I am so pleased to say that joining me now 3 00:00:10,200 --> 00:00:13,440 Speaker 2: is Bruce Flatt, the chief executive officer of Brookfield. Bruce, 4 00:00:13,480 --> 00:00:15,120 Speaker 2: thank you so much for having us and for sitting 5 00:00:15,160 --> 00:00:15,600 Speaker 2: down with me. 6 00:00:15,800 --> 00:00:16,599 Speaker 1: Thanks for being here. 7 00:00:16,640 --> 00:00:18,759 Speaker 2: So your investor dat today comes off the heels. I 8 00:00:18,800 --> 00:00:21,280 Speaker 2: think a really exciting announcement for this industry of how 9 00:00:21,280 --> 00:00:24,520 Speaker 2: you're positioning Brookfield that is growing your insurer and really 10 00:00:24,600 --> 00:00:28,120 Speaker 2: letting that lead your investments. If this is, in your words, 11 00:00:28,120 --> 00:00:31,080 Speaker 2: an evolution, If this is Brookfield two point zero, what 12 00:00:31,120 --> 00:00:32,600 Speaker 2: does Brookfield two point oh look like? 13 00:00:32,880 --> 00:00:35,080 Speaker 1: I think it's Brookfield five point zero. 14 00:00:35,640 --> 00:00:38,000 Speaker 3: But look, I would just say that the world is 15 00:00:38,200 --> 00:00:40,440 Speaker 3: always evolving, and we're always just trying to figure out 16 00:00:40,479 --> 00:00:46,200 Speaker 3: how do we fit, how do we take enough risk 17 00:00:46,720 --> 00:00:49,319 Speaker 3: to expand the business to grow it over time and 18 00:00:49,360 --> 00:00:54,120 Speaker 3: not take any undo risk for shareholders. So we continually 19 00:00:54,200 --> 00:00:57,640 Speaker 3: try to do that in the business. And the thing 20 00:00:57,720 --> 00:01:01,200 Speaker 3: that has what we been doing is taking our own 21 00:01:01,280 --> 00:01:05,400 Speaker 3: capital outside of our investment management business, taking our own 22 00:01:05,400 --> 00:01:12,399 Speaker 3: capital and putting it into back insurance annuities and continuing 23 00:01:12,440 --> 00:01:14,920 Speaker 3: to push that business out there and really just doing 24 00:01:14,920 --> 00:01:17,280 Speaker 3: the same thing that we do in our have always 25 00:01:17,319 --> 00:01:19,080 Speaker 3: done in our investment business. Just do it in the 26 00:01:19,120 --> 00:01:23,200 Speaker 3: insurance company because the things that we invest into are 27 00:01:23,240 --> 00:01:28,080 Speaker 3: ideally suited to back long tailed liabilities in an insurance business. 28 00:01:28,160 --> 00:01:30,679 Speaker 1: And so it's just traditional insurance. 29 00:01:30,760 --> 00:01:33,200 Speaker 3: You make money out of insurance and you try to 30 00:01:33,240 --> 00:01:35,039 Speaker 3: not lose money in investing. 31 00:01:35,760 --> 00:01:37,880 Speaker 1: And if you flip that on its head. 32 00:01:38,200 --> 00:01:41,640 Speaker 3: We're trying to not lose money insurance and make our 33 00:01:41,680 --> 00:01:44,560 Speaker 3: money in investing. And it's just a different way of 34 00:01:44,600 --> 00:01:47,320 Speaker 3: looking at insurance. And there's been some obviously that have 35 00:01:47,400 --> 00:01:50,280 Speaker 3: successfully deployed that methodology for years. 36 00:01:50,360 --> 00:01:52,920 Speaker 2: Oh not because you have Apollo your Berkshire Halfaway. To 37 00:01:52,920 --> 00:01:55,480 Speaker 2: what degree do you look like your rivals or not look. 38 00:01:55,400 --> 00:01:58,560 Speaker 1: Like your rivals? I'd say we're probably somewhere in the 39 00:01:58,600 --> 00:01:59,920 Speaker 1: middle of those two. 40 00:02:00,720 --> 00:02:05,800 Speaker 3: Apollo is a credit led insurance business and Berkshire Hathaway 41 00:02:05,880 --> 00:02:09,840 Speaker 3: is an investment led insurance business, and we're probably somewhere 42 00:02:09,840 --> 00:02:14,200 Speaker 3: between the two, but probably closer to Berkshire Hathaway than Apollo. 43 00:02:14,600 --> 00:02:17,200 Speaker 2: So it is this moment where more capital is coming 44 00:02:17,240 --> 00:02:20,840 Speaker 2: into this industry, be it from insurance or retail money. 45 00:02:21,400 --> 00:02:22,760 Speaker 2: I know that this is something that a lot of 46 00:02:22,760 --> 00:02:24,679 Speaker 2: people want to get their hands on, and Bank of 47 00:02:24,680 --> 00:02:27,160 Speaker 2: America recently put out a note saying Brookfield is maybe 48 00:02:27,160 --> 00:02:29,480 Speaker 2: behind some of its peers. Do you feel like this 49 00:02:29,560 --> 00:02:31,840 Speaker 2: is a moment of catch up for Brookfield? No. 50 00:02:32,880 --> 00:02:35,920 Speaker 3: I would say, Look, we're in the we're in the 51 00:02:35,919 --> 00:02:38,520 Speaker 3: first inning. We're not even in the first inning of 52 00:02:38,560 --> 00:02:41,320 Speaker 3: retail wealth like this. There's a there's a twenty trillion 53 00:02:41,360 --> 00:02:43,760 Speaker 3: dollar market out there. We spent twenty five years on 54 00:02:43,840 --> 00:02:47,320 Speaker 3: the first twenty trillion, which is in institutional management, and 55 00:02:47,360 --> 00:02:51,720 Speaker 3: now allocations to alternatives are twenty thirty forty fifty percent 56 00:02:52,080 --> 00:02:54,800 Speaker 3: in institutions, they are zero in retail. And we have 57 00:02:54,840 --> 00:02:59,480 Speaker 3: a twenty year runway. What's going to going to lead 58 00:02:59,520 --> 00:03:05,560 Speaker 3: to six is those that have experience and products that 59 00:03:05,639 --> 00:03:09,720 Speaker 3: can fit into retail accounts. And we have a twenty 60 00:03:09,919 --> 00:03:13,959 Speaker 3: five year track record in the exact products that should 61 00:03:14,000 --> 00:03:15,280 Speaker 3: be in retail wealth. 62 00:03:15,360 --> 00:03:17,960 Speaker 2: So if we're not even in the first innings yet, 63 00:03:18,400 --> 00:03:21,959 Speaker 2: what does this industry look like in five ten years 64 00:03:21,960 --> 00:03:25,639 Speaker 2: from now when you have unlocked this retail capital, when 65 00:03:25,720 --> 00:03:29,000 Speaker 2: retail becomes one of the bigger investor bases. What happens 66 00:03:29,040 --> 00:03:30,520 Speaker 2: to you in your peers? What does that look like? 67 00:03:30,919 --> 00:03:34,480 Speaker 3: I think private markets for the last twenty years have 68 00:03:34,600 --> 00:03:39,680 Speaker 3: just been increasing increasing because you just own businesses and 69 00:03:39,720 --> 00:03:42,240 Speaker 3: you don't have the distractions of the public markets. Public 70 00:03:42,280 --> 00:03:44,520 Speaker 3: markets are going to if you need liquidity, be in 71 00:03:44,520 --> 00:03:49,600 Speaker 3: the public markets and generally be in ETFs, and that 72 00:03:50,520 --> 00:03:54,160 Speaker 3: allows us as private market investors to use the capital 73 00:03:54,200 --> 00:03:56,560 Speaker 3: markets actually to buy things because the people that get 74 00:03:56,640 --> 00:03:59,880 Speaker 3: left aside from the ETF market, you can take them private. 75 00:04:00,400 --> 00:04:02,960 Speaker 3: But increasingly, just more and more money is going into 76 00:04:02,960 --> 00:04:06,600 Speaker 3: privates and that's exciting for all of us, and it'll 77 00:04:07,200 --> 00:04:09,920 Speaker 3: it's going to grow continue to grow, both in institutional 78 00:04:09,960 --> 00:04:13,480 Speaker 3: management as these sovereign institutional pension funds in the world 79 00:04:13,520 --> 00:04:16,599 Speaker 3: just get bigger and bigger as they keep compounding returns. 80 00:04:17,160 --> 00:04:20,400 Speaker 3: But in retail, you're starting at zero and if we 81 00:04:20,480 --> 00:04:24,520 Speaker 3: end up at twenty thirty percent in retirement accounts, that's 82 00:04:24,560 --> 00:04:28,400 Speaker 3: an enormous amount of money to deliver to an industry 83 00:04:28,400 --> 00:04:31,760 Speaker 3: of alternatives, and there's just not that many people that 84 00:04:31,920 --> 00:04:33,160 Speaker 3: can do what we do. 85 00:04:33,600 --> 00:04:35,760 Speaker 2: I know another area that you've identified as a really 86 00:04:35,800 --> 00:04:38,760 Speaker 2: big opportunity, and I speaking with Connor about this earlier 87 00:04:38,960 --> 00:04:43,159 Speaker 2: is AI infrastructure, and Brookfield is so uniquely placed because 88 00:04:43,200 --> 00:04:45,240 Speaker 2: not only are you in the infrastructure side, but you're 89 00:04:45,279 --> 00:04:47,680 Speaker 2: on the energy side as well. It's an industry AI 90 00:04:47,800 --> 00:04:51,560 Speaker 2: infrastructure that takes a lot of resources, be it human resources, 91 00:04:51,839 --> 00:04:54,919 Speaker 2: be it capital, be it that energy. Is there a 92 00:04:55,040 --> 00:04:58,240 Speaker 2: risk that it's crowding out that so many resources are 93 00:04:58,240 --> 00:05:02,280 Speaker 2: being plowed into AI infrastructure, sure that other private investment, 94 00:05:02,440 --> 00:05:05,520 Speaker 2: other public investment as well doesn't get the attention it needs. 95 00:05:05,560 --> 00:05:08,960 Speaker 3: So I would say we're at the early early again, 96 00:05:09,120 --> 00:05:11,760 Speaker 3: we're at the early early stages of this, and the 97 00:05:11,800 --> 00:05:15,920 Speaker 3: buildout of artificial intelligence globally is going to be very, 98 00:05:16,080 --> 00:05:18,760 Speaker 3: very It is very large, but it is getting bigger 99 00:05:18,800 --> 00:05:20,840 Speaker 3: every single year. And you've seen some of the big 100 00:05:20,839 --> 00:05:23,640 Speaker 3: technology companies what they've been doing of late. 101 00:05:23,720 --> 00:05:28,360 Speaker 1: But this is going to be It starts in the 102 00:05:28,440 --> 00:05:29,200 Speaker 1: United States, but. 103 00:05:29,160 --> 00:05:33,680 Speaker 3: It's going global, and it's really just the next backbone 104 00:05:33,839 --> 00:05:36,240 Speaker 3: of the global economy. And we've been building out the 105 00:05:36,240 --> 00:05:38,039 Speaker 3: backbone of the global economy. 106 00:05:37,560 --> 00:05:38,719 Speaker 1: For decades and decades. 107 00:05:39,240 --> 00:05:42,680 Speaker 3: The artificial intelligence is going to be just really the 108 00:05:42,720 --> 00:05:46,839 Speaker 3: table stakes that you must build in a country to 109 00:05:47,040 --> 00:05:50,840 Speaker 3: deploy your businesses and for your businesses to get better, 110 00:05:51,000 --> 00:05:53,040 Speaker 3: because what this is going to lead to is productivity 111 00:05:53,080 --> 00:05:58,920 Speaker 3: advances in businesses and those that don't have it will lose, 112 00:05:58,960 --> 00:06:00,680 Speaker 3: and those that have it were going to win. So 113 00:06:00,720 --> 00:06:02,160 Speaker 3: it's going to be built out around the world, and 114 00:06:02,240 --> 00:06:07,360 Speaker 3: the amount of capital that's getting put into into data centers, 115 00:06:07,440 --> 00:06:12,520 Speaker 3: into power for this, and really the compute capacity buildout 116 00:06:12,720 --> 00:06:14,440 Speaker 3: is very, very large. 117 00:06:14,440 --> 00:06:15,760 Speaker 1: Fact. I've never we've. 118 00:06:15,600 --> 00:06:20,480 Speaker 3: Actually never seen anything like this, and that probably says 119 00:06:20,480 --> 00:06:23,760 Speaker 3: a lot from one of the largest backbone investors out there. 120 00:06:23,800 --> 00:06:25,640 Speaker 2: For sure, Well, you're talking about that there are going 121 00:06:25,680 --> 00:06:27,640 Speaker 2: to be a lot of winners from this, but Bruce, 122 00:06:27,680 --> 00:06:30,000 Speaker 2: it also sounds like there's going to be some real losers, 123 00:06:30,000 --> 00:06:32,200 Speaker 2: some real people who are left out in this transition. 124 00:06:32,560 --> 00:06:37,799 Speaker 3: You know, I actually think that these transformations. Of course, 125 00:06:37,800 --> 00:06:40,920 Speaker 3: there's always on the edges, there's always things that happen 126 00:06:41,000 --> 00:06:45,360 Speaker 3: that aren't what you would want, but generally transformation think 127 00:06:45,400 --> 00:06:47,520 Speaker 3: of the computer when it came out, everyone thought that 128 00:06:47,760 --> 00:06:50,840 Speaker 3: people were going to lose, and your iPhone, people thought 129 00:06:50,880 --> 00:06:54,040 Speaker 3: people were going to lose. What happens is we are 130 00:06:54,560 --> 00:06:58,479 Speaker 3: we're a shrinking population generally in the world, and robotics 131 00:06:58,520 --> 00:07:01,440 Speaker 3: and advanced productivity is just helping us do things better 132 00:07:02,080 --> 00:07:04,640 Speaker 3: and we're all going to be more productive. It means 133 00:07:04,680 --> 00:07:07,599 Speaker 3: there's going to be greater wealth to spread around, and 134 00:07:07,640 --> 00:07:10,520 Speaker 3: if we do it right, I think it's going to 135 00:07:10,560 --> 00:07:11,640 Speaker 3: be great for the world. 136 00:07:11,680 --> 00:07:14,040 Speaker 2: But what about the Sam Altman comment a couple of 137 00:07:14,080 --> 00:07:15,960 Speaker 2: weeks ago, basically saying we're in the phase right now 138 00:07:16,000 --> 00:07:18,440 Speaker 2: where investors are over excited about AI. Do you think 139 00:07:18,480 --> 00:07:20,680 Speaker 2: there is some overexcitement, especially when it comes to pricing 140 00:07:20,680 --> 00:07:21,160 Speaker 2: and things. 141 00:07:21,280 --> 00:07:24,080 Speaker 3: So remember, what we do is build the backbone of 142 00:07:24,280 --> 00:07:25,480 Speaker 3: the global economy. 143 00:07:25,760 --> 00:07:26,880 Speaker 1: So we are. 144 00:07:26,720 --> 00:07:31,400 Speaker 3: Building power, data centers, compute capacity for the best of 145 00:07:31,480 --> 00:07:36,119 Speaker 3: the world and for sovereign countries, and all of those 146 00:07:36,240 --> 00:07:40,920 Speaker 3: have long term contracts in place, and we're behind the 147 00:07:40,920 --> 00:07:43,280 Speaker 3: scenes providing them enormous amounts of money like this is 148 00:07:43,440 --> 00:07:47,400 Speaker 3: we're talking per center twenty five to fifty one hundred 149 00:07:47,400 --> 00:07:48,120 Speaker 3: billion dollars. 150 00:07:48,160 --> 00:07:49,600 Speaker 1: This is enormous capital. 151 00:07:50,880 --> 00:07:56,240 Speaker 3: Of course, when people, when excitement happens and everyone wants 152 00:07:56,240 --> 00:07:59,320 Speaker 3: to get in on something, there are mistakes made by people. 153 00:07:59,800 --> 00:08:02,680 Speaker 3: I'm I'm not saying there will not be mistakes, but 154 00:08:03,360 --> 00:08:04,720 Speaker 3: I'd say for us, we're. 155 00:08:04,520 --> 00:08:05,320 Speaker 1: Behind the scenes. 156 00:08:05,680 --> 00:08:08,280 Speaker 3: We've been around this doing it a long time, and 157 00:08:09,000 --> 00:08:12,280 Speaker 3: I think for it's a great investment area for a 158 00:08:12,320 --> 00:08:13,160 Speaker 3: long period of time. 159 00:08:13,720 --> 00:08:16,320 Speaker 2: You've again been part of this for a while. Remember 160 00:08:16,360 --> 00:08:18,560 Speaker 2: in twenty twenty two you had that partnership with Intel 161 00:08:18,600 --> 00:08:20,880 Speaker 2: building out some infrastructure there. One of the things that's 162 00:08:21,000 --> 00:08:23,120 Speaker 2: changed in this is you have, just taking Intel as 163 00:08:23,160 --> 00:08:26,560 Speaker 2: an example, more involvement from the government, a ten percent 164 00:08:26,600 --> 00:08:29,559 Speaker 2: stake the US government looking at taking Does it change 165 00:08:29,600 --> 00:08:32,160 Speaker 2: the calculus for investing in these types of things if 166 00:08:32,160 --> 00:08:33,640 Speaker 2: you have governments more involved. 167 00:08:34,360 --> 00:08:37,880 Speaker 3: No, I look, I think they did that for specific reasons, 168 00:08:37,920 --> 00:08:40,240 Speaker 3: which I don't need to comment on. I just think 169 00:08:40,360 --> 00:08:45,760 Speaker 3: the business world evolves. There's a lot of money out there, 170 00:08:45,840 --> 00:08:49,920 Speaker 3: and businesses continue to grow and build out, and we're 171 00:08:49,920 --> 00:08:53,400 Speaker 3: going to see we are going to see governments are 172 00:08:53,400 --> 00:08:56,920 Speaker 3: going to have to facilitate the AI build out because 173 00:08:57,000 --> 00:08:59,439 Speaker 3: they need a lot of sovereign capacity themselves, like they 174 00:08:59,480 --> 00:09:03,760 Speaker 3: need government government's to your passport, driver's license, and everything else. 175 00:09:04,000 --> 00:09:06,040 Speaker 3: When you come into the when you come into the 176 00:09:06,120 --> 00:09:08,120 Speaker 3: United States, you go to the border now and it 177 00:09:08,600 --> 00:09:13,080 Speaker 3: reads your picture on the screen and let you in 178 00:09:13,120 --> 00:09:17,680 Speaker 3: the country. And that's data center capacity. And when you 179 00:09:17,720 --> 00:09:20,400 Speaker 3: get down to it, like to take it really simple, 180 00:09:21,080 --> 00:09:24,880 Speaker 3: that's what it is. And every day those kind of 181 00:09:24,880 --> 00:09:28,520 Speaker 3: things are going to artificial intelligence. You just thought that 182 00:09:28,600 --> 00:09:31,600 Speaker 3: they saw your picture and let you in the country. 183 00:09:32,160 --> 00:09:34,760 Speaker 3: But it's checked as you come to the border, it's 184 00:09:34,800 --> 00:09:36,880 Speaker 3: checked your face, it's checked everything going on with you, 185 00:09:36,880 --> 00:09:40,520 Speaker 3: and it lets you in. And what happens is it 186 00:09:40,600 --> 00:09:44,240 Speaker 3: just seeps into your life and people don't recognize it's happening. 187 00:09:44,240 --> 00:09:47,959 Speaker 3: But what's behind that is trillions and trillions and trillionstead 188 00:09:47,960 --> 00:09:48,640 Speaker 3: of dollars. 189 00:09:48,400 --> 00:09:50,160 Speaker 2: Of in I don't know whether to be excited or 190 00:09:50,320 --> 00:09:52,960 Speaker 2: terrified about what you just said to me, Bruce, But 191 00:09:53,000 --> 00:09:54,480 Speaker 2: if we are in this and governments need to be 192 00:09:54,520 --> 00:09:56,640 Speaker 2: more involved, I mean the US measures. Again, some have 193 00:09:56,679 --> 00:09:58,440 Speaker 2: kind of criticized it, being like, oh, this is central 194 00:09:58,480 --> 00:10:01,080 Speaker 2: planning taking stakes and companies and at the same time 195 00:10:01,160 --> 00:10:03,160 Speaker 2: trying to get revenue share from the likes of Nvidia 196 00:10:03,200 --> 00:10:05,960 Speaker 2: and AMD. Do those kinds of moves concern you or again, 197 00:10:06,000 --> 00:10:07,800 Speaker 2: do you just see them as necessary in this new 198 00:10:07,800 --> 00:10:08,320 Speaker 2: world we're in. 199 00:10:08,679 --> 00:10:13,760 Speaker 3: Look, I just think the United States government has a strategy, 200 00:10:13,760 --> 00:10:16,640 Speaker 3: they're deploying it. They've done an excellent job and many 201 00:10:16,640 --> 00:10:20,400 Speaker 3: of the things they're doing, and they're supporting American business 202 00:10:20,600 --> 00:10:23,840 Speaker 3: and they're going to build out American enterprise the way 203 00:10:23,880 --> 00:10:26,480 Speaker 3: they best see fit and they're doing a great job. 204 00:10:26,840 --> 00:10:28,560 Speaker 2: Just to that point, Bruce, because you were just so 205 00:10:28,679 --> 00:10:31,920 Speaker 2: uniquely positioned not only to see all the investment going 206 00:10:31,920 --> 00:10:34,760 Speaker 2: into AI infrastructure, but just on the large swath of 207 00:10:34,760 --> 00:10:38,320 Speaker 2: this economy that Brookfield touches between AI build out and 208 00:10:38,360 --> 00:10:41,439 Speaker 2: at the same time a labor market slowing, maybe corporations 209 00:10:41,480 --> 00:10:44,120 Speaker 2: that are a little less certain. How do you feel 210 00:10:44,120 --> 00:10:46,520 Speaker 2: about this American economy? Is it a moment of weakness, 211 00:10:46,600 --> 00:10:48,480 Speaker 2: is it a moment of slowing, or is this still 212 00:10:48,520 --> 00:10:49,679 Speaker 2: a very strong economy. 213 00:10:51,000 --> 00:10:55,560 Speaker 3: I'm a long term thinker, and I would say what 214 00:10:55,640 --> 00:10:57,880 Speaker 3: happens in the short term is not really relevant. 215 00:10:57,880 --> 00:10:59,240 Speaker 1: We don't pay too much attention to it. 216 00:10:59,320 --> 00:11:03,360 Speaker 3: Remember, we're building AI instructure for the next forty or 217 00:11:03,440 --> 00:11:07,640 Speaker 3: fifty years. That's what we're thinking about. The United States 218 00:11:07,720 --> 00:11:12,160 Speaker 3: today has energy dominance, technology dominance, one of the largest 219 00:11:12,160 --> 00:11:13,959 Speaker 3: economies in the world, one of the richest economy of 220 00:11:14,000 --> 00:11:17,320 Speaker 3: the world, and a very entrepreneurial working class. It is 221 00:11:17,360 --> 00:11:19,559 Speaker 3: going to win, and we continue to put a. 222 00:11:19,520 --> 00:11:20,640 Speaker 1: Lot of money behind that. 223 00:11:21,320 --> 00:11:24,600 Speaker 3: I think we've probably invested thirty forty fifty billion dollars 224 00:11:24,640 --> 00:11:27,560 Speaker 3: in the US this year. The United State is going 225 00:11:27,600 --> 00:11:29,160 Speaker 3: to be a great place to invest for a long 226 00:11:29,240 --> 00:11:30,000 Speaker 3: period of time. 227 00:11:30,160 --> 00:11:31,959 Speaker 2: Bruce. I think that's the perfect note to end it on. 228 00:11:32,080 --> 00:11:34,600 Speaker 2: Thank you so much for joining really really fastining to get. 229 00:11:34,559 --> 00:11:36,200 Speaker 1: Thanks you for being the warm up act of our 230 00:11:36,240 --> 00:11:36,839 Speaker 1: investor day. 231 00:11:36,880 --> 00:11:39,160 Speaker 2: I was going to say best of luck for everything else. 232 00:11:39,160 --> 00:11:41,720 Speaker 2: Hopefully you're feeling warm and ready to address the crowd, Bruce. 233 00:11:42,080 --> 00:11:44,599 Speaker 2: Thanks again, Bruce Flatt of Brookfield,