1 00:00:02,520 --> 00:00:09,680 Speaker 1: Bloomberg Audio Studios, podcasts, radio news from the heart of 2 00:00:09,760 --> 00:00:15,480 Speaker 1: where innovation, money and power collide in Silicon Valley and beyond. 3 00:00:15,920 --> 00:00:21,160 Speaker 1: This is Bloomberg Technology with Caroline Hyde and Ed Ludlow. 4 00:00:34,840 --> 00:00:35,559 Speaker 2: Live from New York. 5 00:00:35,560 --> 00:00:39,520 Speaker 3: I'm Caroline Hyde and I'm Jackie Devalas in Washington. This 6 00:00:39,640 --> 00:00:40,840 Speaker 3: is Bloomberg Technology. 7 00:00:41,000 --> 00:00:44,319 Speaker 4: We get straight to the markets because we currently see 8 00:00:44,320 --> 00:00:46,159 Speaker 4: a market that braces for possible changes. 9 00:00:46,280 --> 00:00:48,479 Speaker 2: Jackie to the tariffs on Canada and Mexico. 10 00:00:48,760 --> 00:00:50,840 Speaker 4: All of this is being suggested by Commas Secretary Howard 11 00:00:50,920 --> 00:00:54,800 Speaker 4: Lutnik in a Bloomberg interview with Bloomberg Television. We are 12 00:00:54,880 --> 00:00:58,000 Speaker 4: basically being bounced around by the latest headlines. We have 13 00:00:58,120 --> 00:01:00,000 Speaker 4: got so much to debate when it comes to the market. 14 00:01:00,160 --> 00:01:03,640 Speaker 4: D Anidy, the earnings with CrowdStrike looking worse than the 15 00:01:03,680 --> 00:01:07,120 Speaker 4: market had braced for and CrowdStrike currently trading off significantly 16 00:01:07,120 --> 00:01:09,400 Speaker 4: by some eight percent, off as much as twelve percent 17 00:01:09,440 --> 00:01:12,360 Speaker 4: at one point, as once again that hit to the 18 00:01:12,600 --> 00:01:15,800 Speaker 4: entire global breakdown in software that we saw back in 19 00:01:15,920 --> 00:01:20,240 Speaker 4: last summer. Shares still having an effect as we saw 20 00:01:20,280 --> 00:01:22,880 Speaker 4: worse than expected earnings outlook for this company. 21 00:01:23,040 --> 00:01:25,720 Speaker 2: Let's stick into all of this with Bluebergs Isabelle Lee. 22 00:01:25,800 --> 00:01:28,800 Speaker 4: Because we have whiplash on our hands, whether or not 23 00:01:28,880 --> 00:01:32,120 Speaker 4: it's about the latest amount announcement for semiconductor support here 24 00:01:32,160 --> 00:01:34,679 Speaker 4: in the United States, whether it's whiplash ultimately, and whether 25 00:01:34,720 --> 00:01:36,840 Speaker 4: we will have tariffs remain in force or not. 26 00:01:37,200 --> 00:01:38,960 Speaker 2: How does the market digest this moment. 27 00:01:39,600 --> 00:01:41,560 Speaker 5: I think that's why they're confused. Markets have been se 28 00:01:41,640 --> 00:01:44,039 Speaker 5: signed between gains and losses. Before I came here, I 29 00:01:44,040 --> 00:01:45,800 Speaker 5: had a script on in my head that stucks rallying 30 00:01:45,800 --> 00:01:47,760 Speaker 5: because of the ISSM beat. But there now as I'm 31 00:01:47,800 --> 00:01:50,680 Speaker 5: sitting here, they're actually edging lower. It's been a wild ride, 32 00:01:50,680 --> 00:01:53,600 Speaker 5: and options traders really predict more volatility to come. And 33 00:01:53,640 --> 00:01:56,000 Speaker 5: on Friday we have the big payrolls data that's also 34 00:01:56,040 --> 00:01:58,600 Speaker 5: going to add to volatility. We have options traders predicting 35 00:01:58,600 --> 00:02:00,760 Speaker 5: a move of one point two percent in either direction, 36 00:02:00,880 --> 00:02:03,760 Speaker 5: and that's pretty significant. So it's really just if you 37 00:02:03,800 --> 00:02:06,760 Speaker 5: take a step back, investors are on edge. Even for 38 00:02:06,880 --> 00:02:09,160 Speaker 5: us on the terminal, you have headlines after headlines. You 39 00:02:09,280 --> 00:02:11,440 Speaker 5: just really don't know what to expect. Some people argue 40 00:02:11,480 --> 00:02:13,560 Speaker 5: that it's too much of a data driven market, but 41 00:02:13,720 --> 00:02:16,400 Speaker 5: remains to be seen Isabelle. 42 00:02:16,440 --> 00:02:19,760 Speaker 3: We're expecting some kind of guidance from Howard Lutnik later 43 00:02:19,840 --> 00:02:23,200 Speaker 3: this afternoon. What subsectors within tech should we be on. 44 00:02:23,160 --> 00:02:23,799 Speaker 6: The lookout for. 45 00:02:24,600 --> 00:02:27,120 Speaker 5: There's automakers, there's also chip makers. But the thing is 46 00:02:27,120 --> 00:02:30,120 Speaker 5: tyres itself isn't really bad. We have many analysts telling 47 00:02:30,160 --> 00:02:32,959 Speaker 5: us that it's Tarris Priss lingering, growth spheres, press, the 48 00:02:33,000 --> 00:02:36,080 Speaker 5: prospects of the FED keeping interest rates higher, plus the 49 00:02:36,160 --> 00:02:38,800 Speaker 5: higher stock valuations. Then if you have all of that, 50 00:02:38,919 --> 00:02:42,079 Speaker 5: you question whether the markets should be this high. But 51 00:02:42,120 --> 00:02:45,120 Speaker 5: other than that, even in Asia we have Asian equities rallying. 52 00:02:45,320 --> 00:02:49,000 Speaker 5: We have German stocks really in question after that really 53 00:02:49,040 --> 00:02:50,679 Speaker 5: big stimulus that they're injecting. 54 00:02:50,760 --> 00:02:54,040 Speaker 2: So all in all, we have recession probabilities rising. 55 00:02:54,040 --> 00:02:57,160 Speaker 5: We have a JP Morgan implied probability of economic downturn 56 00:02:57,240 --> 00:02:59,680 Speaker 5: rising through thirty one percent on Thursday. That's up from 57 00:02:59,720 --> 00:03:02,200 Speaker 5: set eighteen percent at the end of November. So now 58 00:03:02,240 --> 00:03:05,119 Speaker 5: again we have a lot of investors predicting their own 59 00:03:05,160 --> 00:03:07,959 Speaker 5: models of recession. But it's really just a tough market 60 00:03:08,040 --> 00:03:08,640 Speaker 5: to digest. 61 00:03:09,320 --> 00:03:12,520 Speaker 4: It's a tough market global market for companies trying to sell. 62 00:03:12,560 --> 00:03:16,280 Speaker 4: At the moment, I think of Tesla once again dropping lower. 63 00:03:16,600 --> 00:03:19,000 Speaker 2: We saw China weakness. 64 00:03:18,720 --> 00:03:21,040 Speaker 4: Yesterday in terms of the data, you saw it in France, 65 00:03:21,080 --> 00:03:23,799 Speaker 4: and then the latest chew to drop is Germany. I mean, 66 00:03:23,840 --> 00:03:26,639 Speaker 4: Elon Musk, is this his brand or is it ultimately 67 00:03:26,639 --> 00:03:28,799 Speaker 4: about what's happening in terms of curtailing some of their 68 00:03:28,840 --> 00:03:30,040 Speaker 4: output some of their production. 69 00:03:30,440 --> 00:03:33,600 Speaker 5: I think it could be both, because Tesla registration plummeted 70 00:03:33,639 --> 00:03:35,600 Speaker 5: in Germany last month, and a part of that is 71 00:03:35,680 --> 00:03:38,440 Speaker 5: Elon Musk and his politicking. But then a part of 72 00:03:38,480 --> 00:03:41,880 Speaker 5: that is also just really the car makers suspending out plants. 73 00:03:41,920 --> 00:03:43,840 Speaker 5: If it's model why yeah, and then they have a 74 00:03:43,840 --> 00:03:46,000 Speaker 5: factor outside of Berlin and that will lose out to 75 00:03:46,080 --> 00:03:48,400 Speaker 5: several projections. I feel like it's just really the perfect 76 00:03:48,400 --> 00:03:52,000 Speaker 5: storm or the perfect cocktail, everything moving together. But yes, 77 00:03:52,440 --> 00:03:54,720 Speaker 5: every headline in every part of the world is really 78 00:03:54,760 --> 00:03:55,880 Speaker 5: something to watch out for. 79 00:03:56,320 --> 00:03:58,840 Speaker 4: Public investors are trying to dicer in it. So a 80 00:03:58,920 --> 00:04:01,680 Speaker 4: private investors is across the tape when it comes to 81 00:04:01,720 --> 00:04:04,040 Speaker 4: what's happening in the public markets. But let's get back 82 00:04:04,040 --> 00:04:05,760 Speaker 4: to what leaders are talking about. 83 00:04:05,560 --> 00:04:06,760 Speaker 2: In the private markets too. 84 00:04:07,080 --> 00:04:10,320 Speaker 4: We've had Bloomberg business leaders across the board at the 85 00:04:10,320 --> 00:04:12,920 Speaker 4: invest conference that we're hosting today in New York City. 86 00:04:13,120 --> 00:04:16,200 Speaker 4: I did today. I spoke with Iconic Capital founder Michael Anders, 87 00:04:16,600 --> 00:04:19,400 Speaker 4: and we began with the changes in consumer sentiment at 88 00:04:19,400 --> 00:04:22,080 Speaker 4: this moment in reaction to tariff threats and also the 89 00:04:22,120 --> 00:04:22,760 Speaker 4: impact on AI. 90 00:04:22,839 --> 00:04:24,720 Speaker 2: Take to listen, But. 91 00:04:24,720 --> 00:04:26,599 Speaker 7: I think it's spending a lot of time with consumer 92 00:04:26,720 --> 00:04:31,200 Speaker 7: CEOs lately. There is definitely an awareness that there's a 93 00:04:31,360 --> 00:04:35,239 Speaker 7: sentiment shift. I think the consumer is beginning to start 94 00:04:35,240 --> 00:04:40,640 Speaker 7: paying attention to the uncertainty in terms of, you know 95 00:04:40,960 --> 00:04:44,159 Speaker 7: where tariffs are going to take us, And so I 96 00:04:44,160 --> 00:04:47,960 Speaker 7: think that's a pause that people are feeling. From our standpoint, 97 00:04:47,960 --> 00:04:52,279 Speaker 7: though we actually like this environment. It makes you do 98 00:04:52,360 --> 00:04:55,360 Speaker 7: the work. And I think if you're you know, got 99 00:04:55,440 --> 00:04:58,080 Speaker 7: the team, you've got the rigor, you've got the discipline, 100 00:04:58,080 --> 00:05:00,320 Speaker 7: you've got the focus. And going back to what I 101 00:05:00,320 --> 00:05:03,000 Speaker 7: said earlier, this is a moment where picking the winners 102 00:05:03,560 --> 00:05:07,320 Speaker 7: is so critically important. And so I think right now, 103 00:05:07,320 --> 00:05:10,800 Speaker 7: in this AI journey we're in, it's been a long road. 104 00:05:10,880 --> 00:05:12,960 Speaker 7: I mean, AI has been around for decades. 105 00:05:13,320 --> 00:05:16,760 Speaker 4: Does generative AI become more relevant at this moment where 106 00:05:16,800 --> 00:05:21,719 Speaker 4: companies are worrying about predicting the future, making sure that 107 00:05:21,720 --> 00:05:24,520 Speaker 4: they're profitable. Are they even more galvanized than to lean 108 00:05:24,560 --> 00:05:26,160 Speaker 4: into this generative shift. 109 00:05:26,839 --> 00:05:31,560 Speaker 7: I think in the last year or two, the awareness 110 00:05:31,600 --> 00:05:36,560 Speaker 7: around jen AI has gotten everybody sort of to the 111 00:05:36,600 --> 00:05:39,480 Speaker 7: point where they know it's critically important. But it is 112 00:05:39,560 --> 00:05:44,000 Speaker 7: such a complicated and nuanced situation we're in right now 113 00:05:44,040 --> 00:05:47,320 Speaker 7: that I think people are starting to really know the 114 00:05:47,360 --> 00:05:50,080 Speaker 7: need they need to pay more attention, and I think 115 00:05:50,080 --> 00:05:52,440 Speaker 7: it's less about the predictive nature of it. I think 116 00:05:52,520 --> 00:05:55,520 Speaker 7: that's kind of where we've just come from, and now 117 00:05:55,560 --> 00:05:58,880 Speaker 7: we've gone to where these machines are able to think, 118 00:05:59,400 --> 00:06:02,599 Speaker 7: they're able to reason, and pretty soon they're going to 119 00:06:02,600 --> 00:06:06,040 Speaker 7: be able to act. And I think the acting piece 120 00:06:06,120 --> 00:06:10,080 Speaker 7: is what gets us very close to this agi moment 121 00:06:10,640 --> 00:06:12,760 Speaker 7: where machines are all knowing. 122 00:06:14,320 --> 00:06:17,880 Speaker 4: That was my candas of Iconic Capital, and Jackie such an. 123 00:06:17,760 --> 00:06:19,000 Speaker 2: Important voice of this moment. 124 00:06:19,240 --> 00:06:21,440 Speaker 4: They have bet on the past winners, They bet on 125 00:06:21,480 --> 00:06:23,760 Speaker 4: the snowflakes, on the data dogs, on the ADI ends. 126 00:06:23,880 --> 00:06:26,279 Speaker 4: They're now making big bets on the likes of data breaks. 127 00:06:26,279 --> 00:06:28,880 Speaker 4: But they continue to invest in this moment even though 128 00:06:29,120 --> 00:06:31,960 Speaker 4: we've got this tipping point that's worried about geopolitics. They 129 00:06:32,160 --> 00:06:34,720 Speaker 4: like this environment where you're having to do more work, 130 00:06:34,760 --> 00:06:36,880 Speaker 4: and I think my putting money where the mouth is 131 00:06:36,920 --> 00:06:40,320 Speaker 4: assured insurance technologies. They just committed more money to that 132 00:06:40,320 --> 00:06:42,240 Speaker 4: particular Jennai business just yesterday. 133 00:06:44,320 --> 00:06:45,400 Speaker 6: That's right, Caroline. 134 00:06:45,440 --> 00:06:49,360 Speaker 3: Not always the covered names are a little bit underappreciated 135 00:06:49,400 --> 00:06:51,640 Speaker 3: and tech but crucial sectors to keep an eye on. Now, 136 00:06:51,720 --> 00:06:54,680 Speaker 3: let's go to the Bloomberg invest Conference for a conversation 137 00:06:54,800 --> 00:06:59,600 Speaker 3: with KKR co CEO Joebe along with Bloomberg's Shanali Basic. 138 00:07:01,480 --> 00:07:03,560 Speaker 8: Across Mall Street, and we're going to get to some 139 00:07:03,600 --> 00:07:05,840 Speaker 8: of the things underpinning those goals. But first we're going 140 00:07:05,920 --> 00:07:08,520 Speaker 8: to start with a big view on where the world 141 00:07:08,600 --> 00:07:11,880 Speaker 8: stands today. And as we've been talking about Joe, in 142 00:07:11,920 --> 00:07:15,120 Speaker 8: the US, investors are trying to shake off that tariff 143 00:07:15,160 --> 00:07:19,200 Speaker 8: hangover that exists right now. The markets have been very jittery, 144 00:07:19,800 --> 00:07:23,440 Speaker 8: investors are digesting how these trade policies could be in 145 00:07:23,480 --> 00:07:27,160 Speaker 8: the future. How do you view the impact from your seat? 146 00:07:27,520 --> 00:07:30,480 Speaker 9: Sure, I think it's obvious to everybody that we're in 147 00:07:30,480 --> 00:07:32,640 Speaker 9: an environment right now where there's a lot of uncertainty 148 00:07:32,720 --> 00:07:36,480 Speaker 9: around trade tariffs, but it's not necessarily new. Even with 149 00:07:36,520 --> 00:07:40,480 Speaker 9: the first Trump administration, he was focused on tariffs and trade. 150 00:07:41,440 --> 00:07:44,480 Speaker 9: Biden kept most of those tariffs in place. So I 151 00:07:44,520 --> 00:07:47,280 Speaker 9: think in our business, you know, we're very long term investors, 152 00:07:47,480 --> 00:07:49,720 Speaker 9: we need to be thinking about these issues over time, 153 00:07:49,880 --> 00:07:53,200 Speaker 9: not just in one administration. And what I'd say is, 154 00:07:53,280 --> 00:07:56,800 Speaker 9: you know, we have teams at KKR who focus on 155 00:07:56,880 --> 00:08:00,880 Speaker 9: all these areas of macro risk, whether that's currency, tariff 156 00:08:00,920 --> 00:08:05,840 Speaker 9: and trade, geopolitical risk, regulatory risk in each of the 157 00:08:05,840 --> 00:08:07,320 Speaker 9: different markets that we're investing in. 158 00:08:08,000 --> 00:08:08,520 Speaker 6: I think this. 159 00:08:08,440 --> 00:08:12,960 Speaker 9: Issue around supply chain security and resiliency, which relates to tariffs, 160 00:08:13,360 --> 00:08:15,800 Speaker 9: is obviously front and center for all long term investors, 161 00:08:16,440 --> 00:08:18,679 Speaker 9: but people are trying to parse through what this all means. 162 00:08:18,720 --> 00:08:21,960 Speaker 9: The final policies are not in place, the actions of 163 00:08:22,000 --> 00:08:25,360 Speaker 9: other countries and governments in reaction to what Trump may 164 00:08:25,440 --> 00:08:28,120 Speaker 9: or may not do is still unknown, so it's very 165 00:08:28,160 --> 00:08:30,520 Speaker 9: fluid at the moment, and I think that's obviously creating 166 00:08:30,560 --> 00:08:31,920 Speaker 9: some uncertainty and volatility. 167 00:08:32,040 --> 00:08:34,559 Speaker 8: You know, it's interesting in conversation with you, you had 168 00:08:34,600 --> 00:08:36,520 Speaker 8: mentioned that this was a risk that you should have 169 00:08:36,559 --> 00:08:39,600 Speaker 8: seen coming in a lot of ways. So from where 170 00:08:39,640 --> 00:08:42,280 Speaker 8: I'm sitting, it looks like KKR has been preparing for 171 00:08:42,320 --> 00:08:45,840 Speaker 8: this in a way that many investors have kind of 172 00:08:45,920 --> 00:08:49,360 Speaker 8: very obviously have not been So what have you been 173 00:08:49,400 --> 00:08:52,160 Speaker 8: doing to prepare for all of this uncertainty knowing that 174 00:08:52,200 --> 00:08:53,400 Speaker 8: there's even more of it ahead. 175 00:08:54,080 --> 00:08:56,199 Speaker 9: Yeah, So, I think we have over one hundred and 176 00:08:56,240 --> 00:09:00,280 Speaker 9: fifty companies in our private equity portfolio around the world. 177 00:09:00,360 --> 00:09:05,319 Speaker 9: Supply chain resiliency, multiple sourcing avenues for our companies has 178 00:09:05,360 --> 00:09:08,640 Speaker 9: always been a part of the risk mitigation approach, and 179 00:09:08,679 --> 00:09:10,480 Speaker 9: we've spent a lot of time really over the last 180 00:09:10,480 --> 00:09:13,640 Speaker 9: five six seven years understanding that risk and mitigating that risk. 181 00:09:14,440 --> 00:09:16,400 Speaker 9: And when it comes to new investments, I think a 182 00:09:16,440 --> 00:09:19,760 Speaker 9: big part of our job thematically is understanding the risk 183 00:09:19,840 --> 00:09:23,240 Speaker 9: environment we're in and choosing those themes and sectors and 184 00:09:23,360 --> 00:09:27,320 Speaker 9: opportunities that really have less exposure to terrorf risk or 185 00:09:27,360 --> 00:09:30,600 Speaker 9: trade risk. So maybe a couple of examples of that is, 186 00:09:31,400 --> 00:09:34,720 Speaker 9: you know, healthcare services are very domestic, whether it's in 187 00:09:34,720 --> 00:09:37,120 Speaker 9: the US, Europe, or Asia. You know, that's an area 188 00:09:37,160 --> 00:09:39,480 Speaker 9: where we feel like the TERRFF risk at least is 189 00:09:39,520 --> 00:09:44,120 Speaker 9: not a pronounced risk. You could look at certain services businesses. 190 00:09:44,160 --> 00:09:48,760 Speaker 9: We've made a number of investments in companies like home Services, Foundation, 191 00:09:48,880 --> 00:09:52,480 Speaker 9: Inspection maintenance companies in the US for an aging housing stock. 192 00:09:53,240 --> 00:09:56,920 Speaker 9: You look at it services and software investments in different countries. Again, 193 00:09:57,080 --> 00:10:00,439 Speaker 9: very little terrorf risk, so you're able to really zero 194 00:10:00,520 --> 00:10:03,320 Speaker 9: in and target those industries and sectors where you don't 195 00:10:03,320 --> 00:10:05,000 Speaker 9: think this is going to be a big problem. 196 00:10:04,960 --> 00:10:06,800 Speaker 8: When you think about the ripple effects that you might 197 00:10:06,840 --> 00:10:09,160 Speaker 8: see from the terror strategy. There are a lot of 198 00:10:09,200 --> 00:10:13,920 Speaker 8: concerns about inflation, sure growth. How are you thinking about 199 00:10:13,920 --> 00:10:17,439 Speaker 8: the economic headwinds that the US is facing Listen, I 200 00:10:17,480 --> 00:10:17,960 Speaker 8: think that's. 201 00:10:17,840 --> 00:10:19,840 Speaker 9: One of the big uncertainties out there that people are 202 00:10:19,840 --> 00:10:24,319 Speaker 9: trying to figure out. Tariffs are inflationary by design, so 203 00:10:24,400 --> 00:10:27,880 Speaker 9: I think if that leads to an escalated level of 204 00:10:27,880 --> 00:10:31,560 Speaker 9: inflation in US economy, obviously that's going to slow GDP growth. 205 00:10:32,440 --> 00:10:34,680 Speaker 9: It may put some pressure on the FED obviously in 206 00:10:34,720 --> 00:10:38,440 Speaker 9: a more tough economic environment, to lower rates faster over time. 207 00:10:39,480 --> 00:10:42,079 Speaker 9: But we've always felt that the bigger trends happening in 208 00:10:42,120 --> 00:10:46,000 Speaker 9: the world, whether that's energy transition, the massive investments into data, 209 00:10:46,520 --> 00:10:49,120 Speaker 9: a lot of these things are in inflationary by its nature. 210 00:10:49,120 --> 00:10:52,520 Speaker 9: Putting aside tariffs, so we have a higher resting heart 211 00:10:52,600 --> 00:10:55,360 Speaker 9: rate for inflation globally today. Than we've had in the 212 00:10:55,400 --> 00:10:58,400 Speaker 9: last decade, and you expect that to continue and potentially 213 00:10:58,440 --> 00:11:01,400 Speaker 9: even get higher inflation. Right, if these tariff and these 214 00:11:01,440 --> 00:11:04,920 Speaker 9: trade wars continue, it's not an unreasonable expectation that in 215 00:11:04,920 --> 00:11:06,800 Speaker 9: the near term you can see higher inflation. 216 00:11:06,880 --> 00:11:08,880 Speaker 8: Well, it doesn't that mean higher rates or do you 217 00:11:08,920 --> 00:11:10,720 Speaker 8: think that the FED is going to have to lower 218 00:11:10,800 --> 00:11:13,280 Speaker 8: rates into the face of that. People are starting to 219 00:11:13,440 --> 00:11:15,880 Speaker 8: use the words stagflation an awful lot these days. 220 00:11:16,600 --> 00:11:18,520 Speaker 9: I think it's going to be different in different markets, 221 00:11:18,679 --> 00:11:20,160 Speaker 9: and I think the FED is going to have to 222 00:11:20,240 --> 00:11:23,480 Speaker 9: be very nimble in how they navigate this risk. Obviously, 223 00:11:23,520 --> 00:11:27,240 Speaker 9: if the US is headed towards an economic downturn, cutting 224 00:11:27,320 --> 00:11:30,079 Speaker 9: rates is probably going to be the policy response. If 225 00:11:30,160 --> 00:11:33,160 Speaker 9: rates are high and we're not headed down that recession 226 00:11:33,200 --> 00:11:37,080 Speaker 9: path or deceleration of growth path, then rates could actually 227 00:11:37,080 --> 00:11:38,520 Speaker 9: go a little bit higher in the near term. 228 00:11:38,960 --> 00:11:41,439 Speaker 8: So let's look at this from a global perspective as well. 229 00:11:41,480 --> 00:11:44,160 Speaker 8: I think one unique view you can bring from KKR 230 00:11:44,440 --> 00:11:46,800 Speaker 8: is that you are very global in nature. So you 231 00:11:46,880 --> 00:11:50,800 Speaker 8: see the way that the changes are happening in the 232 00:11:50,840 --> 00:11:54,839 Speaker 8: tariff strategy, the way that nations are kind of separating 233 00:11:54,840 --> 00:11:56,760 Speaker 8: in their relationship to each other. You see that on 234 00:11:56,800 --> 00:12:01,480 Speaker 8: the ground through your portfolio companies. What are than other 235 00:12:01,720 --> 00:12:05,160 Speaker 8: areas of the worlds that are maybe even more attractive 236 00:12:05,200 --> 00:12:06,880 Speaker 8: to you than the United States right now? 237 00:12:07,880 --> 00:12:09,440 Speaker 9: Well, you know, I think it's not a secret. You 238 00:12:09,480 --> 00:12:11,559 Speaker 9: had it up on the slide. We're big fans right 239 00:12:11,600 --> 00:12:14,480 Speaker 9: now of Japan. We think that is a really really 240 00:12:14,720 --> 00:12:20,120 Speaker 9: underpenetrated opportunity, especially among US investors. They really haven't figured 241 00:12:20,120 --> 00:12:22,200 Speaker 9: out how to get the exposure they want in a 242 00:12:22,240 --> 00:12:24,719 Speaker 9: market like Japan where they're coming out of two and 243 00:12:24,720 --> 00:12:28,720 Speaker 9: a half decades of deflation. So finally positive wage growth, 244 00:12:29,240 --> 00:12:34,199 Speaker 9: pricing power, inflation is very modest, but positive inflation right now, 245 00:12:34,679 --> 00:12:38,120 Speaker 9: and rates are actually increasing modestly in Japan. That's a 246 00:12:38,160 --> 00:12:41,080 Speaker 9: completely different macro picture than what we've seen in Japan 247 00:12:41,120 --> 00:12:43,840 Speaker 9: for the last three decades, and a really exciting time 248 00:12:44,040 --> 00:12:49,320 Speaker 9: when you marry that with shareholder reform, activism, activism, corporate 249 00:12:49,360 --> 00:12:52,880 Speaker 9: governance reform in that market. Outside of the United States today, 250 00:12:52,920 --> 00:12:55,440 Speaker 9: Japan is the largest destination of our capital. 251 00:12:55,800 --> 00:13:01,120 Speaker 8: So it's interesting. In addition to Japan, KKR has maintained 252 00:13:01,120 --> 00:13:04,120 Speaker 8: a commitment to China as well. In fact, there are 253 00:13:04,200 --> 00:13:06,839 Speaker 8: big deals that are in the market that KKR may 254 00:13:06,840 --> 00:13:10,240 Speaker 8: be involved with at this very moment. So a lot 255 00:13:10,240 --> 00:13:13,120 Speaker 8: of other investors are very worried about China, the internal 256 00:13:13,120 --> 00:13:17,559 Speaker 8: economics and the relationship that China has to the United States. Yeah, 257 00:13:17,600 --> 00:13:19,880 Speaker 8: how do you view that dynamic? 258 00:13:20,480 --> 00:13:24,679 Speaker 9: Yeah, listen, I think the geopolitical tensions right now obviously 259 00:13:24,800 --> 00:13:26,880 Speaker 9: are front and center for US as we think about 260 00:13:26,920 --> 00:13:30,000 Speaker 9: where to invest in how to invest and in China 261 00:13:30,000 --> 00:13:32,559 Speaker 9: in particular, you have to avoid those sectors that have 262 00:13:32,640 --> 00:13:35,400 Speaker 9: sensitivity on both sides of the ocean, both the US 263 00:13:35,520 --> 00:13:38,840 Speaker 9: government and the Chinese government. So we have not invested 264 00:13:38,880 --> 00:13:42,480 Speaker 9: in some of these sensitive sectors like electric vehicles or 265 00:13:42,520 --> 00:13:45,800 Speaker 9: semiconductors or AI. That's not the focus of our China 266 00:13:45,880 --> 00:13:50,640 Speaker 9: investment strategy. We're really focusing on super high quality domestic 267 00:13:50,679 --> 00:13:55,000 Speaker 9: businesses that are around domestic consumption and services. So we 268 00:13:55,160 --> 00:13:57,400 Speaker 9: in our portfolio today we have one of the largest 269 00:13:58,080 --> 00:14:02,200 Speaker 9: or the largest Chinese pet food company, again geopolitically not sensitive. 270 00:14:02,559 --> 00:14:04,760 Speaker 9: We own one of the largest pharmacy chains in China. 271 00:14:05,400 --> 00:14:09,080 Speaker 9: We own the largest white mushroom grower in China, all 272 00:14:09,160 --> 00:14:12,760 Speaker 9: geared towards the domestic market, a growing middle class who 273 00:14:12,840 --> 00:14:16,480 Speaker 9: wants higher quality goods and services and food, and I 274 00:14:16,520 --> 00:14:18,480 Speaker 9: think that's the sweet spot of where we're focused to 275 00:14:18,520 --> 00:14:19,160 Speaker 9: the market today. 276 00:14:19,600 --> 00:14:22,800 Speaker 8: That's interesting because even if you're focused on the Chinese consumer, 277 00:14:23,120 --> 00:14:26,080 Speaker 8: that might be a little more insulated to let's say, 278 00:14:26,080 --> 00:14:29,360 Speaker 8: the global macro challenges. There are a lot of concerns 279 00:14:29,360 --> 00:14:33,480 Speaker 8: about the Chinese economy. Why are you seeing through them? 280 00:14:33,560 --> 00:14:36,240 Speaker 9: Yeah, listen, I think the overall long term trend in 281 00:14:36,320 --> 00:14:41,000 Speaker 9: China is the middle class is growing, and the expectations 282 00:14:41,000 --> 00:14:43,280 Speaker 9: of the middle class are really for higher quality goods 283 00:14:43,320 --> 00:14:47,920 Speaker 9: and services, safer food, safer services, and that's what these 284 00:14:47,920 --> 00:14:51,840 Speaker 9: companies that we're investing behind are really catering towards. No doubt, 285 00:14:51,920 --> 00:14:54,920 Speaker 9: the macro growth in China has slowed from a decade ago, right, 286 00:14:55,000 --> 00:14:57,520 Speaker 9: you were talking about a country growing at double digits GDP. 287 00:14:58,400 --> 00:15:00,920 Speaker 9: They're targeting four to five percent growth today, right, So 288 00:15:00,960 --> 00:15:04,120 Speaker 9: there has been a slowdown. There's clearly challenges in terms 289 00:15:04,160 --> 00:15:06,400 Speaker 9: of the real estate market in China, and you have 290 00:15:06,440 --> 00:15:08,320 Speaker 9: to factor all that in in terms of the growth 291 00:15:08,400 --> 00:15:11,960 Speaker 9: rate you're underwriting, and largely the entry multiple. You know, 292 00:15:12,000 --> 00:15:14,400 Speaker 9: the Chinese stock market today is one of the most 293 00:15:14,400 --> 00:15:17,240 Speaker 9: interesting value markets in the world in terms of multiples. 294 00:15:17,840 --> 00:15:20,280 Speaker 9: So if you know what you're looking for the type 295 00:15:20,280 --> 00:15:22,560 Speaker 9: of risk you're trying to mitigate against, you could still 296 00:15:22,600 --> 00:15:23,800 Speaker 9: find some interesting opportunities. 297 00:15:23,920 --> 00:15:27,000 Speaker 8: You know, yes day I asked the question, is American 298 00:15:27,080 --> 00:15:32,680 Speaker 8: exceptionalism dead? In addition to that, I ask you, is 299 00:15:32,840 --> 00:15:37,240 Speaker 8: globalization of diversification play? Is it a safety trade? How 300 00:15:37,240 --> 00:15:38,160 Speaker 8: do you think about it? 301 00:15:38,880 --> 00:15:41,400 Speaker 9: But we are a very very global firm, and we 302 00:15:41,520 --> 00:15:44,440 Speaker 9: have a lot of different ways to participate in those opportunities. 303 00:15:44,840 --> 00:15:50,200 Speaker 9: Private equity, real estate, private credit, and infrastructure. So in 304 00:15:50,240 --> 00:15:53,200 Speaker 9: really volatile periods like we're in right now, having that 305 00:15:53,280 --> 00:15:57,560 Speaker 9: flexibility of capital, we could partner with companies management teams 306 00:15:57,880 --> 00:16:00,520 Speaker 9: as a provider of anything from senior and from grade 307 00:16:00,520 --> 00:16:04,960 Speaker 9: debt right to non investment grade debt, to structured credit solutions, 308 00:16:05,280 --> 00:16:09,680 Speaker 9: structured equity solutions, growth equity capital, to buy out capital. 309 00:16:10,280 --> 00:16:14,400 Speaker 9: So you know, today it's an interesting market. When volatility spikes, 310 00:16:15,080 --> 00:16:18,480 Speaker 9: that usually leads to really really interesting deployment opportunities for 311 00:16:18,520 --> 00:16:20,960 Speaker 9: our firm. You need to be nimble, you need to 312 00:16:21,000 --> 00:16:24,080 Speaker 9: have the local reach in all these different markets. But 313 00:16:24,120 --> 00:16:26,800 Speaker 9: we're excited, quite frankly about twenty twenty five. They're going 314 00:16:26,840 --> 00:16:29,200 Speaker 9: to be hiccups. There's going to be some headwinds in 315 00:16:29,240 --> 00:16:32,120 Speaker 9: terms of some of these macro policies, but our ability 316 00:16:32,160 --> 00:16:35,000 Speaker 9: to deploy scale capital around the world, we think is 317 00:16:35,080 --> 00:16:37,240 Speaker 9: quite high. 318 00:16:37,320 --> 00:16:39,480 Speaker 8: I will still ask you, if not dead, then is 319 00:16:39,520 --> 00:16:41,920 Speaker 8: American exceptionalism then overblown? 320 00:16:43,080 --> 00:16:46,280 Speaker 9: Now listen, I think this notion that the US is 321 00:16:46,320 --> 00:16:48,760 Speaker 9: going to win alone has never been the case. I 322 00:16:48,760 --> 00:16:51,240 Speaker 9: think the strength of the United States is really the 323 00:16:51,280 --> 00:16:54,880 Speaker 9: resiliency of the economy, the strength of our capital markets 324 00:16:54,880 --> 00:16:58,640 Speaker 9: to mobilize capitals to support companies in the private sector, 325 00:16:59,360 --> 00:17:01,960 Speaker 9: and labor productivity. Right when you think about why the 326 00:17:02,080 --> 00:17:05,159 Speaker 9: US has grown faster than Europe or faster than Japan, 327 00:17:05,640 --> 00:17:08,639 Speaker 9: it's really about labor productivity in the United States. A 328 00:17:08,680 --> 00:17:11,840 Speaker 9: lot of that is technology driven and innovation driven, but 329 00:17:11,920 --> 00:17:14,160 Speaker 9: a lot of that is our unique mobility of labor 330 00:17:14,160 --> 00:17:17,200 Speaker 9: in this country. You think about Japan, which is going 331 00:17:17,200 --> 00:17:20,280 Speaker 9: through this resurgence. You know, structurally they've done the best 332 00:17:20,359 --> 00:17:23,560 Speaker 9: job of any country in terms of women participation in 333 00:17:23,600 --> 00:17:27,040 Speaker 9: the workforce, people working longer in Japan. Right, They've got 334 00:17:27,080 --> 00:17:30,800 Speaker 9: real demographic challenges. They've done an excellent job around automation 335 00:17:31,040 --> 00:17:35,320 Speaker 9: and robotics in their industrial base, but they're not getting 336 00:17:35,400 --> 00:17:38,439 Speaker 9: the labor productivity because the mobility of labor in Japan 337 00:17:38,520 --> 00:17:42,040 Speaker 9: is quite constrained, and their investment in software and tech 338 00:17:42,640 --> 00:17:45,240 Speaker 9: is a fraction of what you see in the United States. Right, 339 00:17:45,359 --> 00:17:49,000 Speaker 9: So the real superpower of the United States is labor productivity. 340 00:17:49,040 --> 00:17:51,520 Speaker 8: At the end of the day, I do want to 341 00:17:51,520 --> 00:17:53,600 Speaker 8: spend the remaining time here switching gears talking about the 342 00:17:53,640 --> 00:17:57,879 Speaker 8: future of KKR, because it's been fascinating to watch the 343 00:17:58,040 --> 00:18:00,880 Speaker 8: change from an iconic private equity company to. 344 00:18:00,880 --> 00:18:01,720 Speaker 6: What you are today. 345 00:18:01,960 --> 00:18:04,800 Speaker 8: There was the full acquisition of your insurance company last year, 346 00:18:04,880 --> 00:18:09,000 Speaker 8: Global Atlantic, and it's made KKR look more and more 347 00:18:09,359 --> 00:18:13,160 Speaker 8: like Berkshire Hathaway. And there's one part of your business 348 00:18:13,160 --> 00:18:15,480 Speaker 8: that's far less understood that I think makes you look 349 00:18:15,560 --> 00:18:19,040 Speaker 8: like the most like Berkshire Hathaway, and that's your strategic 350 00:18:19,040 --> 00:18:22,920 Speaker 8: holding's business. Many people don't know that KKR owns eighteen 351 00:18:23,000 --> 00:18:27,680 Speaker 8: companies on your own balance sheet at KKR, what is 352 00:18:27,960 --> 00:18:32,360 Speaker 8: this business going to be in maybe ten years and 353 00:18:32,680 --> 00:18:35,399 Speaker 8: why is it valuable to you? Sure? 354 00:18:35,440 --> 00:18:38,639 Speaker 9: So when you think about KKR as a business, we 355 00:18:38,760 --> 00:18:43,320 Speaker 9: really have three core strategic parts of our business. Strategy 356 00:18:43,960 --> 00:18:46,480 Speaker 9: asset management, I think is well understood. That's what we're 357 00:18:46,520 --> 00:18:49,160 Speaker 9: known for for the last fifty years. So that's our 358 00:18:49,200 --> 00:18:52,840 Speaker 9: third party private equity again real estate and infrastructure of 359 00:18:52,880 --> 00:18:55,440 Speaker 9: private credit business, and that's the six hundred and fifty 360 00:18:55,440 --> 00:18:59,240 Speaker 9: billion dollar business that you mentioned at the start. The 361 00:18:59,320 --> 00:19:02,360 Speaker 9: second big pill of our business today is Global Atlantic. 362 00:19:02,760 --> 00:19:05,440 Speaker 9: It's one hundred percent owned insurance company in the life 363 00:19:05,440 --> 00:19:08,400 Speaker 9: and annuity space, roughly one hundred and ninety billion dollars 364 00:19:08,440 --> 00:19:11,400 Speaker 9: of AUM there and again playing into all of these 365 00:19:11,440 --> 00:19:15,320 Speaker 9: trends around retirement savings, retirement security, and being able to 366 00:19:15,359 --> 00:19:19,600 Speaker 9: offer individuals compelling products for their own long term savings. 367 00:19:20,320 --> 00:19:22,560 Speaker 9: The third piece of it is a segment that we 368 00:19:22,600 --> 00:19:25,399 Speaker 9: introduced last year at our investor Day, but it's been 369 00:19:25,440 --> 00:19:27,879 Speaker 9: a segment we've been incubating for well over a decade 370 00:19:27,880 --> 00:19:31,720 Speaker 9: now at KKR, and that's Strategic Holdings. So what we're 371 00:19:31,720 --> 00:19:35,080 Speaker 9: trying to build in Strategic Holdings is in some ways 372 00:19:35,080 --> 00:19:38,360 Speaker 9: a mini Berkshire Hathaway. These are companies where we own 373 00:19:38,480 --> 00:19:43,280 Speaker 9: large stakes, sometimes controlling stakes, sometimes not, but businesses that 374 00:19:43,359 --> 00:19:46,480 Speaker 9: we think we could own literally forever. Businesses that have 375 00:19:46,560 --> 00:19:50,040 Speaker 9: the potential to compound in mid teens over a very 376 00:19:50,080 --> 00:19:53,480 Speaker 9: very long period of time. Very defensive in nature, so 377 00:19:53,520 --> 00:19:56,320 Speaker 9: we have eighteen companies in that portfolio today. We're going 378 00:19:56,359 --> 00:19:59,640 Speaker 9: to continue to redeploy our free cash flow at KKR 379 00:20:00,119 --> 00:20:02,880 Speaker 9: to invest in more of these types of businesses. And 380 00:20:02,960 --> 00:20:05,280 Speaker 9: it's not just private equity. Over time, it's going to 381 00:20:05,320 --> 00:20:09,600 Speaker 9: include certain platforms, probably in infrastructure and real assets, maybe 382 00:20:09,640 --> 00:20:11,280 Speaker 9: certain build ups you know that we're going to do 383 00:20:11,320 --> 00:20:14,600 Speaker 9: in different sectors. You know, when Scott Nuttell and I 384 00:20:14,840 --> 00:20:17,440 Speaker 9: my co CEO, joined KKRE back in nineteen ninety six, 385 00:20:18,200 --> 00:20:21,040 Speaker 9: Berkshire Hathaway had a market cap of forty billion dollars 386 00:20:21,600 --> 00:20:24,840 Speaker 9: and roughly nav balance sheet of forty billion dollars. You 387 00:20:24,880 --> 00:20:27,640 Speaker 9: fast forward twenty eight years, they have a trillion dollar 388 00:20:27,720 --> 00:20:30,800 Speaker 9: market cap on the back of long term compounding of 389 00:20:30,840 --> 00:20:34,359 Speaker 9: their balance sheet and their investments. Right, some version of 390 00:20:34,359 --> 00:20:36,520 Speaker 9: that is what we're going to be doing with strategic holdings, 391 00:20:36,920 --> 00:20:39,639 Speaker 9: but leveraging all of the skills and expertise we have 392 00:20:39,720 --> 00:20:42,639 Speaker 9: in our private equity teams, our infrastructure teams around the world. 393 00:20:42,720 --> 00:20:45,359 Speaker 8: So what's an interesting parallel here If you think about 394 00:20:45,359 --> 00:20:48,840 Speaker 8: Berkshire Hathaway, is it almost like Global Atlantic is your 395 00:20:48,880 --> 00:20:52,760 Speaker 8: own Geico, and these future infrastructure holdings will be your 396 00:20:52,800 --> 00:20:57,000 Speaker 8: BNSF and your private equity holdings would be kind of 397 00:20:57,040 --> 00:20:58,240 Speaker 8: like your stock portfolio. 398 00:20:59,680 --> 00:21:02,920 Speaker 9: Yes, this imperfect anology, but directionally you are absolutely right. 399 00:21:03,119 --> 00:21:06,399 Speaker 9: I think listen strategic holdings for us, you got to 400 00:21:06,440 --> 00:21:08,080 Speaker 9: think about it as a way, how do we think 401 00:21:08,119 --> 00:21:12,680 Speaker 9: about redeploying our free cash flow as a business back 402 00:21:12,680 --> 00:21:15,679 Speaker 9: into the most attractive areas. Some of that might be 403 00:21:15,680 --> 00:21:19,280 Speaker 9: in our traditional third party asset management business, right we 404 00:21:19,359 --> 00:21:22,560 Speaker 9: find great ways to deploy capital across those investments, we'll 405 00:21:22,560 --> 00:21:25,719 Speaker 9: deploy that capital. A lot of the capitals reinvested back 406 00:21:25,760 --> 00:21:29,600 Speaker 9: into Global Atlantic. We acquired our first controlling stake in 407 00:21:29,600 --> 00:21:33,080 Speaker 9: Global Atlantic in twenty twenty and GA at that time 408 00:21:33,080 --> 00:21:36,480 Speaker 9: had around seventy billion dollars at AUM. Four years later 409 00:21:36,520 --> 00:21:38,440 Speaker 9: it has one hundred and ninety billion dollars at AUM. 410 00:21:38,680 --> 00:21:42,280 Speaker 9: So we've supported that growth with more investment. And then 411 00:21:42,280 --> 00:21:44,960 Speaker 9: this third segment of strategic holdings, obviously, which is what 412 00:21:45,000 --> 00:21:47,679 Speaker 9: we're super excited about, is one where we're going to 413 00:21:47,680 --> 00:21:49,920 Speaker 9: be continuing to invest a lot more of our free 414 00:21:49,920 --> 00:21:52,679 Speaker 9: cash flow as a business. So our guidance to the 415 00:21:52,720 --> 00:21:56,720 Speaker 9: street today is by twenty twenty six that portfolio will 416 00:21:56,720 --> 00:21:59,280 Speaker 9: be generating around three hundred and fifty plus million dollars 417 00:21:59,640 --> 00:22:02,920 Speaker 9: after time dividends. For us, that's growing to seven hundred 418 00:22:02,920 --> 00:22:05,399 Speaker 9: million dollars by twenty twenty eight and one point one 419 00:22:05,480 --> 00:22:09,000 Speaker 9: billion dollars by twenty thirty. So it is a very 420 00:22:09,160 --> 00:22:13,879 Speaker 9: very visible, recurring, growing cash flow stream at KKR. 421 00:22:14,040 --> 00:22:16,480 Speaker 8: So you essentially have a kind of a future Unicorn 422 00:22:16,560 --> 00:22:19,040 Speaker 8: of sorts being built inside of KKRE. If you're going 423 00:22:19,119 --> 00:22:21,439 Speaker 8: to be bringing in a billion dollars over time in 424 00:22:21,480 --> 00:22:24,000 Speaker 8: this business, do you think it's built into KKR stock 425 00:22:24,320 --> 00:22:25,600 Speaker 8: that assumption yet? 426 00:22:25,760 --> 00:22:28,120 Speaker 9: I think people are starting to appreciate what we're trying 427 00:22:28,119 --> 00:22:30,520 Speaker 9: to build. But I think the bigger picture is when 428 00:22:30,560 --> 00:22:32,880 Speaker 9: you look at our universe in the alt space five 429 00:22:32,960 --> 00:22:35,800 Speaker 9: years from now, ten years from now, I think many 430 00:22:35,800 --> 00:22:37,960 Speaker 9: of the public peers in the sector are going to 431 00:22:37,960 --> 00:22:40,360 Speaker 9: actually take very different approaches to how do they grow 432 00:22:40,400 --> 00:22:43,199 Speaker 9: their firms. I think the approach we have was with 433 00:22:43,359 --> 00:22:47,600 Speaker 9: third party asset management, insurance and strategic holdings is quite 434 00:22:47,600 --> 00:22:50,359 Speaker 9: differentiated and different than the way most of our peers 435 00:22:50,400 --> 00:22:51,639 Speaker 9: are trying to grow their firms today. 436 00:22:52,040 --> 00:22:54,320 Speaker 8: Now, I want to spend a little time talking about 437 00:22:54,640 --> 00:22:58,560 Speaker 8: not just institutional capital and how you are deploying capital 438 00:22:58,560 --> 00:23:01,200 Speaker 8: in your own balance sheet, we've been talking so much 439 00:23:01,320 --> 00:23:04,640 Speaker 8: about how there has been a massive push for retail. 440 00:23:04,680 --> 00:23:07,080 Speaker 8: When it comes to the world of private assets, everyone 441 00:23:07,160 --> 00:23:09,760 Speaker 8: is doing it differently. You have a relationship with capital 442 00:23:09,800 --> 00:23:13,439 Speaker 8: Group in order to make this available in a mutual 443 00:23:13,520 --> 00:23:18,520 Speaker 8: fund form. So how available is it to invest in 444 00:23:18,560 --> 00:23:21,680 Speaker 8: private assets from where you're sitting. What's the minimum amount 445 00:23:21,840 --> 00:23:23,680 Speaker 8: you would need to put into a fund to start 446 00:23:23,720 --> 00:23:25,600 Speaker 8: to get access to what you're offering. 447 00:23:26,359 --> 00:23:28,720 Speaker 9: Sure, So the way to think about the bigger picture 448 00:23:28,720 --> 00:23:32,600 Speaker 9: opportunity is for most of our history at KKR, we 449 00:23:32,600 --> 00:23:36,879 Speaker 9: were found in nineteen seventy six. Our core client base 450 00:23:37,200 --> 00:23:41,920 Speaker 9: was really large institutional investors, pension funds, insurance companies, sovereign 451 00:23:41,960 --> 00:23:46,280 Speaker 9: wealth funds around the world. The individual investors who participated 452 00:23:46,359 --> 00:23:49,240 Speaker 9: with us were really ultra high networth families and family 453 00:23:49,280 --> 00:23:53,480 Speaker 9: offices who could allocate capital as part of their diversification 454 00:23:54,119 --> 00:23:57,239 Speaker 9: as really LPs in our funds. They were willing, they 455 00:23:57,240 --> 00:24:00,000 Speaker 9: were sophisticated investors, willing to take at ten or twelve 456 00:24:00,080 --> 00:24:03,960 Speaker 9: year you know, illiquidity risk, just like a pension fund would. 457 00:24:04,880 --> 00:24:07,280 Speaker 9: So that's a very small percent of the households obviously 458 00:24:07,280 --> 00:24:09,520 Speaker 9: in the United States, but that's how they've accessed and 459 00:24:09,520 --> 00:24:13,119 Speaker 9: partnered with us historically. What's relatively new for us in 460 00:24:13,160 --> 00:24:16,240 Speaker 9: the last two to three years is we've introduced a 461 00:24:16,320 --> 00:24:20,160 Speaker 9: series of private wealth products for individual investors who are 462 00:24:20,320 --> 00:24:24,080 Speaker 9: credited investors. Okay, so those are investors with a net 463 00:24:24,080 --> 00:24:28,720 Speaker 9: worth of call one to five million dollars. These open ended, 464 00:24:28,800 --> 00:24:33,160 Speaker 9: evergreen products have semilarquidity of features, so you're not locking 465 00:24:33,200 --> 00:24:35,840 Speaker 9: up your capital for ten to twelve years. You have 466 00:24:35,960 --> 00:24:38,439 Speaker 9: the ability if you needed to redeem a portion of 467 00:24:38,480 --> 00:24:42,120 Speaker 9: your capital every quarter. So it's a slightly different format, 468 00:24:43,119 --> 00:24:47,240 Speaker 9: but it's it's investing in exactly the same deals that 469 00:24:47,280 --> 00:24:50,400 Speaker 9: our flagship funds are investing in, right So that's we're 470 00:24:50,400 --> 00:24:54,760 Speaker 9: trying to deliver that same institutional quality experience, the same portfolio, 471 00:24:54,800 --> 00:24:57,840 Speaker 9: the same access to deal flow, whether that's in private equity, 472 00:24:57,920 --> 00:25:02,200 Speaker 9: real estate, infrastructure, of private credit, to individual accredited investors. 473 00:25:02,640 --> 00:25:04,840 Speaker 9: Right in that one to five million dollars in networth, 474 00:25:05,560 --> 00:25:07,680 Speaker 9: that's around ten percent of the households in the United 475 00:25:07,720 --> 00:25:10,399 Speaker 9: States in those first two buckets ultra high net worth 476 00:25:10,640 --> 00:25:14,959 Speaker 9: and accredited investors, and roughly half the AOO in the 477 00:25:14,960 --> 00:25:18,840 Speaker 9: individual channel. With Capital Group, we have an exciting new 478 00:25:18,880 --> 00:25:24,480 Speaker 9: partnership which really addresses the next ninety percent of US households. 479 00:25:24,840 --> 00:25:29,040 Speaker 9: These are mass affluent individual investors who probably wouldn't be 480 00:25:29,080 --> 00:25:32,040 Speaker 9: buying our private wealth product and wouldn't be LP's in 481 00:25:32,080 --> 00:25:35,879 Speaker 9: our traditional fund. So we're creating hybrid products with Capital 482 00:25:35,920 --> 00:25:38,520 Speaker 9: Group in a mutual fund format. We're starting with credit 483 00:25:39,000 --> 00:25:41,960 Speaker 9: in the second quarter, where we're going to be putting 484 00:25:42,000 --> 00:25:45,119 Speaker 9: a portfolio together. Where Capitol Group manages the public credit, 485 00:25:45,640 --> 00:25:48,639 Speaker 9: we will manage the private credit allocation in that mutual 486 00:25:48,680 --> 00:25:52,040 Speaker 9: fund and deliver a product to the mass affluent that 487 00:25:52,080 --> 00:25:54,359 Speaker 9: looks very different from anything they've been able to buy before. 488 00:25:54,480 --> 00:25:56,840 Speaker 8: You know, it feels like the holy grail for this 489 00:25:56,960 --> 00:26:01,240 Speaker 8: industry is making private assets available and four own plans. Yes, 490 00:26:01,480 --> 00:26:03,720 Speaker 8: how soon do you think that happens? And if not 491 00:26:03,840 --> 00:26:05,680 Speaker 8: that soon, what's the biggest barrier? 492 00:26:06,400 --> 00:26:08,840 Speaker 9: Well, listen, I think again, at a high level, when 493 00:26:08,880 --> 00:26:11,439 Speaker 9: you think about some of the societal challenges, we have 494 00:26:12,160 --> 00:26:15,600 Speaker 9: a big part of that is securing your retirement right 495 00:26:16,160 --> 00:26:17,359 Speaker 9: as you retire from work. 496 00:26:17,640 --> 00:26:21,520 Speaker 4: Kr co CEO Jove along with Bloomberg Shnalie Basset from 497 00:26:21,520 --> 00:26:31,359 Speaker 4: Bloomberg invest This is Bloomberg Technology. 498 00:26:36,359 --> 00:26:38,440 Speaker 2: Welcome back to Blue Meg Technology. I'm Caroline Hyde in 499 00:26:38,520 --> 00:26:40,040 Speaker 2: New York and. 500 00:26:40,000 --> 00:26:41,480 Speaker 6: I'm Jackie Devalace in Washington. 501 00:26:41,720 --> 00:26:44,080 Speaker 4: Let's just talk about more of the politic king that's 502 00:26:44,119 --> 00:26:46,320 Speaker 4: affecting the market right now, and we want to think 503 00:26:46,359 --> 00:26:48,920 Speaker 4: about what's happening in terms of President Trump and how 504 00:26:48,960 --> 00:26:52,199 Speaker 4: he touched on in his address to Congress yesterday, in 505 00:26:52,200 --> 00:26:55,760 Speaker 4: particular the focus on chips, which included a call, of course, 506 00:26:55,800 --> 00:26:59,240 Speaker 4: to end the bipartisan fifty two billion dollar Chipsack Take listen. 507 00:27:00,080 --> 00:27:03,760 Speaker 10: Your Chips Act is a horrible, horrible thing. We give 508 00:27:03,880 --> 00:27:07,360 Speaker 10: hundreds of billions of dollars and it doesn't mean a thing. 509 00:27:07,440 --> 00:27:10,480 Speaker 10: They take our money and they don't spend it. All 510 00:27:10,520 --> 00:27:14,200 Speaker 10: that meant to them, we're giving them no money. All 511 00:27:14,240 --> 00:27:16,119 Speaker 10: that was important to them was they didn't want to 512 00:27:16,119 --> 00:27:18,080 Speaker 10: pay the tariffs, so they came in their building, and 513 00:27:18,119 --> 00:27:19,560 Speaker 10: many other companies are coming. 514 00:27:20,280 --> 00:27:21,439 Speaker 11: We'd have to give them money. 515 00:27:21,960 --> 00:27:24,359 Speaker 10: We just want to protect our businesses and our people, 516 00:27:24,680 --> 00:27:26,520 Speaker 10: and they will come because they won't have to pay 517 00:27:26,560 --> 00:27:29,960 Speaker 10: tariffs if they build in America. So it's very amazing. 518 00:27:30,200 --> 00:27:34,240 Speaker 10: You should get rid of the Chip Act once again. 519 00:27:34,359 --> 00:27:37,840 Speaker 4: Investors try to digest what this means for market capitalizations, 520 00:27:37,840 --> 00:27:40,080 Speaker 4: for the potential of buying publicly traded stocks. Have a 521 00:27:40,080 --> 00:27:42,199 Speaker 4: look at what the reaction has been ultimately on the 522 00:27:42,240 --> 00:27:44,840 Speaker 4: chip sector. We have been moving between gains and losses. 523 00:27:44,920 --> 00:27:48,080 Speaker 4: On the Socks Semiconductor Index. We're off by four tens percent. 524 00:27:48,440 --> 00:27:52,399 Speaker 4: Intel drags us lower, a big recipient of course, and 525 00:27:52,480 --> 00:27:54,919 Speaker 4: potential loans and grants coming from the chipsack we're off 526 00:27:54,920 --> 00:27:57,440 Speaker 4: by four point three percent. But TSMC saying that they're 527 00:27:57,440 --> 00:27:59,480 Speaker 4: going to be laying the groundwork here in the United States, 528 00:27:59,680 --> 00:28:02,680 Speaker 4: is that the tariff that brings us here the potential 529 00:28:02,720 --> 00:28:05,120 Speaker 4: concerns there. TSMC up by one point two four percent. 530 00:28:05,160 --> 00:28:07,360 Speaker 4: Brall come up by three tens of a percent. Mike 531 00:28:07,400 --> 00:28:10,240 Speaker 4: Shepard joins us to really discern the devil that is 532 00:28:10,240 --> 00:28:12,600 Speaker 4: in the detail here in that's just trying to understand 533 00:28:12,600 --> 00:28:15,520 Speaker 4: really what this means. Would ever any grants or loans 534 00:28:15,720 --> 00:28:17,040 Speaker 4: be taken away from. 535 00:28:16,880 --> 00:28:18,359 Speaker 2: A company that's already been given it. 536 00:28:19,000 --> 00:28:21,439 Speaker 12: Well, our reporting right now indicates that there will not 537 00:28:21,520 --> 00:28:24,760 Speaker 12: be any clawbacks that actually take place. So if a 538 00:28:24,840 --> 00:28:27,760 Speaker 12: check has been written to a company in cash, nobody 539 00:28:27,840 --> 00:28:30,760 Speaker 12: is coming knocking on their door saying, hey, we want 540 00:28:30,880 --> 00:28:34,680 Speaker 12: Uncle Sam's money back to put some other priority Under 541 00:28:34,720 --> 00:28:37,720 Speaker 12: the new administration. But at the same time, it does 542 00:28:37,840 --> 00:28:40,800 Speaker 12: raise a question about money that has been committed but 543 00:28:40,960 --> 00:28:44,200 Speaker 12: not yet dispersed. Would there be any delays in that 544 00:28:44,720 --> 00:28:48,040 Speaker 12: or a possible effort by the President through Congress or 545 00:28:48,040 --> 00:28:51,440 Speaker 12: through the Commerce Department, which oversees this program to either 546 00:28:51,560 --> 00:28:55,440 Speaker 12: stall or maybe try to redirect the money. Now, even 547 00:28:55,520 --> 00:28:59,000 Speaker 12: that is kind of a remote prospect. And when the 548 00:28:59,040 --> 00:29:03,360 Speaker 12: President said that he should just have Congress get rid 549 00:29:03,560 --> 00:29:06,080 Speaker 12: of the Chips Act, he turned right around and looked 550 00:29:06,080 --> 00:29:09,040 Speaker 12: at Mike Johnson. Was one of those moments during his address, 551 00:29:09,280 --> 00:29:12,360 Speaker 12: and that really put the ball in essence in Congress's 552 00:29:12,440 --> 00:29:15,200 Speaker 12: court more than anything else. We have seen a few 553 00:29:15,280 --> 00:29:18,160 Speaker 12: changes though in this Chip's Act office, Carol, and one 554 00:29:18,160 --> 00:29:21,160 Speaker 12: of them is that the dose driven cuts led by 555 00:29:21,160 --> 00:29:23,520 Speaker 12: Elon Musk, they have gone through that office with the 556 00:29:23,560 --> 00:29:26,480 Speaker 12: loss of as many as forty employees who would oversee 557 00:29:26,760 --> 00:29:29,560 Speaker 12: deployment and disbursement of that money. So we are seeing 558 00:29:29,600 --> 00:29:33,880 Speaker 12: some disruption to the program no matter what. One difference 559 00:29:33,920 --> 00:29:38,040 Speaker 12: you highlighted between TSMC and Intel was in the share price, 560 00:29:38,240 --> 00:29:40,600 Speaker 12: and part of that reflects that Intel is struggling to 561 00:29:40,600 --> 00:29:43,640 Speaker 12: find customers that would sustain those big new plants that 562 00:29:43,680 --> 00:29:46,720 Speaker 12: the government is helping him park to build. TSMC, on 563 00:29:46,760 --> 00:29:49,040 Speaker 12: the other hand, heard from both A and D and 564 00:29:49,200 --> 00:29:52,040 Speaker 12: Nvidia on Monday that, Hey, we're ready to buy those 565 00:29:52,080 --> 00:29:54,040 Speaker 12: chips you guys are going to be making for us. 566 00:29:53,920 --> 00:29:58,480 Speaker 3: There, Mike, where does this leave President Trump's vision for 567 00:29:58,600 --> 00:30:02,800 Speaker 3: boosting domestic production, auction of these critical chips, and just 568 00:30:02,880 --> 00:30:06,440 Speaker 3: broadly our competitiveness with China. This program was kind of 569 00:30:06,480 --> 00:30:09,360 Speaker 3: supposed to put us in the lead, keep us there. 570 00:30:09,800 --> 00:30:11,600 Speaker 3: What other levers does he have to pull? 571 00:30:11,640 --> 00:30:16,240 Speaker 12: Now, Well, we know the favorite lever of Donald Trump, 572 00:30:16,280 --> 00:30:19,400 Speaker 12: and that is a word that he refers to constantly 573 00:30:19,440 --> 00:30:22,480 Speaker 12: as the most beautiful word perhaps in the dictionary, and 574 00:30:22,600 --> 00:30:25,360 Speaker 12: that is tariffs. And he sees that as the driver 575 00:30:25,520 --> 00:30:29,120 Speaker 12: in getting TSMC to make its decision to move to 576 00:30:29,240 --> 00:30:32,680 Speaker 12: the US. And he also invoked that a week ago 577 00:30:32,720 --> 00:30:36,760 Speaker 12: when Apple announced a five hundred billion dollar plan to 578 00:30:36,840 --> 00:30:39,840 Speaker 12: invest in the US over four years and hire as 579 00:30:39,920 --> 00:30:43,600 Speaker 12: many as twenty thousand new employees here on American soil. 580 00:30:43,880 --> 00:30:47,560 Speaker 12: Trump said that the threat of tariffs had prompted Apple 581 00:30:47,640 --> 00:30:49,960 Speaker 12: to make that decision, and he sees it as a 582 00:30:50,000 --> 00:30:55,200 Speaker 12: way much more than subsidy programs to effectively bring companies 583 00:30:55,240 --> 00:30:58,520 Speaker 12: to make their investments here, and he's also promised regulatory 584 00:30:58,600 --> 00:31:02,120 Speaker 12: relief on perm for any companies that want to invest 585 00:31:02,160 --> 00:31:05,200 Speaker 12: more than a billion dollars here in the US. So 586 00:31:05,360 --> 00:31:09,320 Speaker 12: it is a combination of tariff threats and regulatory relief, 587 00:31:09,320 --> 00:31:12,080 Speaker 12: and he talked about regulatory relief as well during his 588 00:31:12,120 --> 00:31:13,000 Speaker 12: speech last night. 589 00:31:14,400 --> 00:31:17,120 Speaker 3: That's Bloomberg's Mike Shepherd, thanks so much for joining us. 590 00:31:17,560 --> 00:31:20,520 Speaker 3: Let's stick in more to the impact of Trump's comments 591 00:31:20,520 --> 00:31:23,880 Speaker 3: on the Chips Act and tariffs. Were joined by Liza Tobin, 592 00:31:24,000 --> 00:31:28,080 Speaker 3: managing director of Garneault Global. Liza, there is a lot 593 00:31:28,120 --> 00:31:30,320 Speaker 3: to digest last night, but I want to start with 594 00:31:30,560 --> 00:31:33,200 Speaker 3: the potential repeal of the Chips Act. 595 00:31:33,280 --> 00:31:34,160 Speaker 6: This was really. 596 00:31:33,960 --> 00:31:38,720 Speaker 3: Supposed to cement our position in the AI competitive landscape. 597 00:31:38,920 --> 00:31:41,160 Speaker 3: Does this put us at risk a falling behind? 598 00:31:42,040 --> 00:31:45,080 Speaker 13: Yes, the comments that Trump made in his speech last 599 00:31:45,160 --> 00:31:48,000 Speaker 13: night were not new. He's on the record of complaining 600 00:31:48,120 --> 00:31:50,560 Speaker 13: about subsidies and what's really at the heart of his 601 00:31:50,680 --> 00:31:55,760 Speaker 13: concerns is not wanting to be subsidizing other countries. And 602 00:31:55,800 --> 00:31:58,440 Speaker 13: so he's he, you know, in his first term, and 603 00:31:58,920 --> 00:32:03,280 Speaker 13: now he's putting pressure to get our allies to reimburse us. 604 00:32:03,320 --> 00:32:08,800 Speaker 13: He really feels like it's unfair that TSMC, a Taiwanese company, 605 00:32:08,800 --> 00:32:12,440 Speaker 13: has gotten subsidies, and so you've seen this ratcheting up 606 00:32:12,480 --> 00:32:16,200 Speaker 13: of pressure on TSMC that resulted in one hundred billion 607 00:32:16,360 --> 00:32:21,080 Speaker 13: dollar announcement that TSMC will put even more investment into 608 00:32:21,120 --> 00:32:24,760 Speaker 13: the United States. The sixty five billion already announced before 609 00:32:24,800 --> 00:32:29,200 Speaker 13: and the Biden administration was already the largest foreign direct 610 00:32:29,240 --> 00:32:32,640 Speaker 13: investment in US history, and so by adding another one 611 00:32:32,720 --> 00:32:33,480 Speaker 13: hundred billion to. 612 00:32:33,520 --> 00:32:35,600 Speaker 6: That, it really tops it chart. 613 00:32:35,960 --> 00:32:37,920 Speaker 13: So it kind of remains to be seen if that 614 00:32:38,000 --> 00:32:40,680 Speaker 13: will be enough to kind of satisfy him that he's 615 00:32:40,720 --> 00:32:45,600 Speaker 13: been reimbursed by Taiwan and TSMC for these subsidies. But 616 00:32:45,600 --> 00:32:47,240 Speaker 13: that's really at the heart of his concerns. 617 00:32:47,800 --> 00:32:48,560 Speaker 6: How then can a. 618 00:32:48,520 --> 00:32:53,000 Speaker 4: Local player like an Intel be reimbursed? Liza, talk us 619 00:32:53,000 --> 00:32:55,640 Speaker 4: through what you think the chart and the stic situation 620 00:32:55,840 --> 00:33:01,040 Speaker 4: is for local players who have been promised local US money. 621 00:33:02,040 --> 00:33:04,000 Speaker 6: Yeah, that's a good way to put it, Caroline. 622 00:33:04,080 --> 00:33:09,560 Speaker 13: I mean, the stick, of course is teriffs, and I 623 00:33:09,600 --> 00:33:13,200 Speaker 13: agree with your previous commentator that his favorite tool, he's 624 00:33:13,280 --> 00:33:16,680 Speaker 13: kind of Swiss army knife policy tool is the tariff. 625 00:33:16,720 --> 00:33:19,360 Speaker 6: And so that was the stick that we heard about. 626 00:33:19,360 --> 00:33:22,880 Speaker 13: But there were also some kind of promising carrots sprinkled 627 00:33:22,880 --> 00:33:23,920 Speaker 13: through his speech. 628 00:33:24,240 --> 00:33:26,160 Speaker 6: He talked about tax cuts. 629 00:33:25,880 --> 00:33:29,360 Speaker 13: From manufacturers to buy more equipment. That would be a 630 00:33:29,360 --> 00:33:32,920 Speaker 13: positive thing. He also talked about high skilled talent. So 631 00:33:33,240 --> 00:33:36,960 Speaker 13: the attention has gone to his proposed gold card idea 632 00:33:37,360 --> 00:33:40,480 Speaker 13: where high net worth individuals could pay five million dollars 633 00:33:40,520 --> 00:33:43,280 Speaker 13: to get a green card. But also buried in the 634 00:33:43,360 --> 00:33:47,360 Speaker 13: speech was an allusion to the issue of high skilled 635 00:33:48,320 --> 00:33:52,120 Speaker 13: graduates from US universities having to leave the United States 636 00:33:52,120 --> 00:33:54,760 Speaker 13: and not being able to stay and get a green card. 637 00:33:55,360 --> 00:33:58,040 Speaker 13: And so it sounds like President Trump wants to change that. 638 00:33:58,160 --> 00:34:01,640 Speaker 13: And that's something that many companies complain about as being 639 00:34:01,680 --> 00:34:06,320 Speaker 13: the number one constraint to setting up companies and manufacturing 640 00:34:06,320 --> 00:34:09,239 Speaker 13: plants in the United States is a lack of skilled workforce. 641 00:34:09,400 --> 00:34:12,720 Speaker 3: Let's talk more about that talent pipeline, because the Chips 642 00:34:12,760 --> 00:34:16,080 Speaker 3: Act was not only providing money for the manufacturing of plants, 643 00:34:16,320 --> 00:34:19,799 Speaker 3: but also to agencies like the National Science Foundation, which 644 00:34:19,840 --> 00:34:22,880 Speaker 3: really develops a lot of these master's degree doctorate level 645 00:34:22,920 --> 00:34:25,799 Speaker 3: students that eventually end up in the private sector. By 646 00:34:25,920 --> 00:34:28,680 Speaker 3: yanking that funding away, what does that do to that 647 00:34:28,800 --> 00:34:30,920 Speaker 3: pipeline of talent longer term. 648 00:34:31,440 --> 00:34:35,319 Speaker 13: Yeah, I think here there are a couple parts of 649 00:34:35,400 --> 00:34:38,200 Speaker 13: President Trump's agenda that are working cross purposes. 650 00:34:38,239 --> 00:34:40,080 Speaker 6: On the one hand, his instincts. 651 00:34:39,640 --> 00:34:42,000 Speaker 13: Are that we need to attract the best and the 652 00:34:42,000 --> 00:34:44,520 Speaker 13: brightest to the United States. But on the other hand, 653 00:34:45,080 --> 00:34:49,400 Speaker 13: you have those kind of firing workers across the federal 654 00:34:49,440 --> 00:34:52,920 Speaker 13: workforce and trying to cut funding. So if that starts 655 00:34:52,960 --> 00:34:57,000 Speaker 13: cutting things like federally funded R and D and other 656 00:34:57,360 --> 00:35:00,919 Speaker 13: support for science, you know, there's a very strong track 657 00:35:01,000 --> 00:35:04,239 Speaker 13: record of that kind of federal investment in R and 658 00:35:04,320 --> 00:35:07,000 Speaker 13: D paying off over the long term economically and in 659 00:35:07,080 --> 00:35:12,000 Speaker 13: terms of moonshot programs and so here, I think Trump's 660 00:35:12,000 --> 00:35:16,319 Speaker 13: agenda is kind of fighting fighting within itself, and it 661 00:35:16,360 --> 00:35:18,360 Speaker 13: remains to be seen how that fight will be resolved. 662 00:35:18,560 --> 00:35:20,600 Speaker 4: Liza, we bring you on time and time again to 663 00:35:20,680 --> 00:35:24,320 Speaker 4: the show because you're Chinese expertise here, whether it's previously 664 00:35:24,400 --> 00:35:26,560 Speaker 4: the special Competitive Studies Project, you're now of course, we've 665 00:35:26,560 --> 00:35:29,600 Speaker 4: got no global think about geopolitical risk. In thirty seconds, 666 00:35:30,000 --> 00:35:32,799 Speaker 4: is the new policy the new administration setting the US 667 00:35:32,880 --> 00:35:36,000 Speaker 4: up better or worse versus China. 668 00:35:36,080 --> 00:35:38,920 Speaker 13: So what's interesting is China has been a bit on 669 00:35:39,000 --> 00:35:43,600 Speaker 13: the back burner in President Trump's first six weeks, he's. 670 00:35:43,400 --> 00:35:45,160 Speaker 6: Not talking about China as much. 671 00:35:45,200 --> 00:35:47,880 Speaker 13: It only came up very briefly a couple of times 672 00:35:48,200 --> 00:35:50,680 Speaker 13: in his speech last night, kind of in passing. 673 00:35:51,520 --> 00:35:54,239 Speaker 6: But we know that over on the other side of the. 674 00:35:54,239 --> 00:35:58,200 Speaker 13: Pacific, Beijing is opening up its National People's Congress today. 675 00:35:58,960 --> 00:36:02,520 Speaker 13: Their premiere made comments kind of reinforcing their desire to 676 00:36:02,600 --> 00:36:06,640 Speaker 13: annex Taiwan, and you know they're ratcheting up the pressure 677 00:36:06,680 --> 00:36:09,160 Speaker 13: in the Taiwan Strait. So it's only a matter of 678 00:36:09,239 --> 00:36:13,000 Speaker 13: time before China kind of forces itself back onto the 679 00:36:13,040 --> 00:36:15,000 Speaker 13: front burner of Trump's agenda. 680 00:36:15,719 --> 00:36:18,880 Speaker 4: Zotobin, always great to catch up, Managing director Agano Global, 681 00:36:19,280 --> 00:36:23,040 Speaker 4: thanks for joining us, coming up bringing AI to consumer 682 00:36:23,120 --> 00:36:24,359 Speaker 4: applications AC sales men. 683 00:36:24,440 --> 00:36:26,480 Speaker 2: Quaso's with us talking about the. 684 00:36:26,440 --> 00:36:28,840 Speaker 4: Opportunities in that consumer space. 685 00:36:28,960 --> 00:36:45,320 Speaker 2: This has been about technology time now for VC Spotlight. 686 00:36:45,440 --> 00:36:48,480 Speaker 4: There are a growing number of opportunities for applied AI 687 00:36:48,960 --> 00:36:52,400 Speaker 4: to transform your my products the consumer that's creating new 688 00:36:52,440 --> 00:36:55,960 Speaker 4: openings for investors. Benquaso as a partner at ACEL joining 689 00:36:56,040 --> 00:36:58,200 Speaker 4: us for more. And then when I think of your career, 690 00:36:58,239 --> 00:37:01,520 Speaker 4: I think of AI and enter. But you're really leaning 691 00:37:01,560 --> 00:37:03,320 Speaker 4: in here to thinking about how it's going to affect 692 00:37:03,480 --> 00:37:05,080 Speaker 4: my life. What are some of the best that you've 693 00:37:05,080 --> 00:37:05,560 Speaker 4: been making. 694 00:37:06,560 --> 00:37:07,040 Speaker 6: That's right. 695 00:37:07,120 --> 00:37:09,840 Speaker 11: So we recently led a seventy eight million dollar series 696 00:37:09,880 --> 00:37:13,000 Speaker 11: C into an AI powered language learning app called Speak 697 00:37:13,360 --> 00:37:16,879 Speaker 11: and so specifically, Speak teaches its learners how to communicate, 698 00:37:17,080 --> 00:37:20,520 Speaker 11: how to have conversations through voice and audio. And this 699 00:37:20,560 --> 00:37:23,240 Speaker 11: is kind of in contrast to the historical industry driven 700 00:37:23,280 --> 00:37:27,360 Speaker 11: by memorization in grammar centric techniques. So we're really excited 701 00:37:27,400 --> 00:37:29,719 Speaker 11: to back the leader in AI and kind of the 702 00:37:29,800 --> 00:37:31,480 Speaker 11: language learning ecosystem. 703 00:37:32,560 --> 00:37:36,359 Speaker 3: Ben, where are we now when it comes to consumer technology? 704 00:37:36,400 --> 00:37:39,640 Speaker 3: Because there was quite the heyday in the mid two thousands, 705 00:37:39,719 --> 00:37:42,279 Speaker 3: but today, in the era of AI, the biggest checks 706 00:37:42,320 --> 00:37:45,120 Speaker 3: are being written for a lot of enterprise focused companies. 707 00:37:45,360 --> 00:37:46,000 Speaker 6: What's left? 708 00:37:46,040 --> 00:37:49,560 Speaker 3: What opportunities are you seeing to really bring back that 709 00:37:49,640 --> 00:37:50,560 Speaker 3: consumer space? 710 00:37:51,680 --> 00:37:52,480 Speaker 2: Yeah, Look, I think. 711 00:37:52,320 --> 00:37:55,040 Speaker 11: It's been a tough decade for consumer on the whole, 712 00:37:55,120 --> 00:37:58,080 Speaker 11: but AI unlocks a whole new opportunity and we're actually 713 00:37:58,080 --> 00:38:00,239 Speaker 11: seeing a little bit of a blend of both B 714 00:38:00,280 --> 00:38:02,560 Speaker 11: to B application side at the house with the consumer 715 00:38:02,600 --> 00:38:04,799 Speaker 11: side of the house. You know, at Excel, we're trying 716 00:38:04,800 --> 00:38:07,719 Speaker 11: to back teams and products that are bringing five to 717 00:38:07,760 --> 00:38:11,719 Speaker 11: ten x better user experiences to its users. And within 718 00:38:11,760 --> 00:38:13,560 Speaker 11: the consumer world, that can come in the form of 719 00:38:13,680 --> 00:38:15,680 Speaker 11: language learning, it can come in the form of music 720 00:38:15,880 --> 00:38:19,440 Speaker 11: and health and wellness. So yeah, I think there's a 721 00:38:19,480 --> 00:38:22,800 Speaker 11: lot of opportunity and frankly, the foundation that AI provides 722 00:38:22,840 --> 00:38:25,319 Speaker 11: for a lot of these application layer businesses are what's 723 00:38:25,320 --> 00:38:25,760 Speaker 11: the real. 724 00:38:25,640 --> 00:38:26,479 Speaker 6: Game changer here? 725 00:38:27,600 --> 00:38:29,920 Speaker 3: What do you make of valuations right now in the market. 726 00:38:30,000 --> 00:38:33,880 Speaker 3: AI seems to be an outlier still getting those huge 727 00:38:33,960 --> 00:38:37,640 Speaker 3: valuations even before a company has started generating revenue. Do 728 00:38:37,680 --> 00:38:39,360 Speaker 3: you think some of that will start to soften? 729 00:38:41,000 --> 00:38:43,480 Speaker 11: It's hard to predict the future. We're going to go 730 00:38:43,520 --> 00:38:46,440 Speaker 11: through a lot of local maximums, local minimums. I think 731 00:38:46,480 --> 00:38:49,360 Speaker 11: at Excel we're focused on what the next decade is 732 00:38:49,400 --> 00:38:52,560 Speaker 11: going to drive from an enterprise value perspective, and so 733 00:38:52,760 --> 00:38:55,040 Speaker 11: if we're backing the right products and the right teams 734 00:38:55,040 --> 00:38:59,160 Speaker 11: who are laser focused on those missions, the valuations hopefully 735 00:38:59,239 --> 00:39:04,600 Speaker 11: we'll look back on and won't feel too scared about 736 00:39:04,600 --> 00:39:06,680 Speaker 11: our entry points. But there's no doubt there's a lot 737 00:39:06,680 --> 00:39:08,040 Speaker 11: of excitement here and I think you have to be 738 00:39:08,080 --> 00:39:10,600 Speaker 11: disciplined on where you're placing your bets. 739 00:39:11,080 --> 00:39:13,280 Speaker 4: Ben is some of that froth coming out a speaking 740 00:39:13,280 --> 00:39:16,160 Speaker 4: with Mike Anders over Iconic earlier today at Blomberg invest 741 00:39:16,239 --> 00:39:20,760 Speaker 4: and he's saying, naturally, this disruption, this consumer sentiment shift, 742 00:39:21,080 --> 00:39:23,520 Speaker 4: maybe that's a better environment for his company. At least 743 00:39:23,560 --> 00:39:25,719 Speaker 4: it's out writing checks in because we do get rid 744 00:39:25,760 --> 00:39:27,680 Speaker 4: of the froth, the fomo a little bit. I mean 745 00:39:27,960 --> 00:39:30,359 Speaker 4: our valuations coming down in the private sector when we're 746 00:39:30,360 --> 00:39:33,200 Speaker 4: off by twenty three percent compared to videos high a 747 00:39:33,280 --> 00:39:34,359 Speaker 4: little bit earlier in the year. 748 00:39:35,600 --> 00:39:37,600 Speaker 11: Yeah, I think the tough part about looking at at 749 00:39:37,640 --> 00:39:40,560 Speaker 11: public valuations is they're changing on a daily basis, and 750 00:39:40,600 --> 00:39:43,160 Speaker 11: we're thinking about where these companies settle five to ten 751 00:39:43,200 --> 00:39:46,480 Speaker 11: years from now. And so while yes, we'll see you know, 752 00:39:46,640 --> 00:39:49,600 Speaker 11: medium shifts week to week, month to month, the truth 753 00:39:49,680 --> 00:39:51,719 Speaker 11: is our underwright really has to be what can this 754 00:39:51,760 --> 00:39:54,200 Speaker 11: company be at five years from now, ten years from now. 755 00:39:54,239 --> 00:39:58,080 Speaker 11: And that's a challenge, but it's not necessarily correlated to 756 00:39:58,120 --> 00:40:03,160 Speaker 11: the day to day price movements in the public with markets, what. 757 00:40:03,120 --> 00:40:07,520 Speaker 3: Do you make of the humane kind of disaster there? 758 00:40:07,640 --> 00:40:10,360 Speaker 3: It didn't really take off the AI pen. It was 759 00:40:10,400 --> 00:40:15,640 Speaker 3: really the first intersection of generative AI and hardware. Do 760 00:40:15,719 --> 00:40:18,719 Speaker 3: you guys look at those types of opportunities when you're 761 00:40:18,800 --> 00:40:21,520 Speaker 3: going out and looking at how can we really bring 762 00:40:21,560 --> 00:40:23,600 Speaker 3: this from a more consumer standpoint. 763 00:40:24,880 --> 00:40:27,440 Speaker 11: Yeah, Look, I think it's always easy to poke holes 764 00:40:27,680 --> 00:40:31,920 Speaker 11: in somewhat failed missions Hindsight's twenty twenty. But the truth 765 00:40:32,000 --> 00:40:34,680 Speaker 11: is consumer is such a big opportunity that you have 766 00:40:34,760 --> 00:40:36,759 Speaker 11: to take these big swings, and so I have a 767 00:40:36,800 --> 00:40:38,319 Speaker 11: lot of respect for that team. I have a lot 768 00:40:38,360 --> 00:40:41,240 Speaker 11: of respect for teams that are chasing massive end markets 769 00:40:41,400 --> 00:40:45,319 Speaker 11: like audio, or like fitness, or like health and wellness. 770 00:40:46,000 --> 00:40:49,280 Speaker 11: So I don't imagine they're going to be the only one. However, 771 00:40:49,560 --> 00:40:51,200 Speaker 11: I also think we're going to wake up in twenty 772 00:40:51,239 --> 00:40:53,279 Speaker 11: thirty five with a whole slew of new products that 773 00:40:53,320 --> 00:40:55,440 Speaker 11: we use every single day, and not all of those 774 00:40:55,480 --> 00:40:57,320 Speaker 11: are going to be created by the Apples and Amazons 775 00:40:57,360 --> 00:40:57,800 Speaker 11: of the world. 776 00:40:59,320 --> 00:41:02,160 Speaker 3: That's been a partner at Excel, thanks so much for 777 00:41:02,280 --> 00:41:02,759 Speaker 3: joining us. 778 00:41:10,040 --> 00:41:13,239 Speaker 4: It is the startup aiming to bring back extinct species 779 00:41:13,400 --> 00:41:15,759 Speaker 4: like the dodo bird, like the wooly mammoth, and it 780 00:41:15,800 --> 00:41:18,920 Speaker 4: says it's achieved a first step towards those goals. Colossal 781 00:41:18,920 --> 00:41:24,200 Speaker 4: Biosciences has created a wily mouse. Scientists modified the mice 782 00:41:24,360 --> 00:41:28,080 Speaker 4: using DNA and genomics technologies, giving the animals longer, thicker hair, 783 00:41:28,160 --> 00:41:32,320 Speaker 4: and and altered metabolism. Ben Lamb, Colossal's co founder and CEO, 784 00:41:32,760 --> 00:41:33,720 Speaker 4: is back on the show. 785 00:41:34,280 --> 00:41:36,560 Speaker 2: Ben, how big a step. 786 00:41:36,400 --> 00:41:38,319 Speaker 4: Is this because they look really cute but they don't 787 00:41:38,360 --> 00:41:39,680 Speaker 4: know that different from other mice. 788 00:41:40,600 --> 00:41:43,080 Speaker 14: Well, I think they look significantly cuterer than I say. 789 00:41:43,120 --> 00:41:45,200 Speaker 14: You know, one article actually yesterday said they are the 790 00:41:45,239 --> 00:41:48,000 Speaker 14: most adorable mice that have ever been created. They did 791 00:41:48,000 --> 00:41:50,160 Speaker 14: say it was an accident, which isn't true. It's been very, 792 00:41:50,239 --> 00:41:53,000 Speaker 14: very targeted. And you know some people have already asked, 793 00:41:53,120 --> 00:41:56,160 Speaker 14: you know, will the wooly mice increase the speedable which 794 00:41:56,160 --> 00:41:57,560 Speaker 14: we get to a mammoth And the answer is no. 795 00:41:57,920 --> 00:41:58,640 Speaker 2: You know, we've been editing. 796 00:41:58,640 --> 00:42:00,319 Speaker 14: I've been on the show before and we've been editing 797 00:42:00,360 --> 00:42:03,560 Speaker 14: our Asian elephant cells with mammoth aleeles now for about 798 00:42:03,600 --> 00:42:05,800 Speaker 14: two and a half years. But what the wooly mouse 799 00:42:05,840 --> 00:42:08,120 Speaker 14: does is it proves that our end the end process 800 00:42:08,520 --> 00:42:12,640 Speaker 14: of understanding computational biology from these ancient DnaA, making the 801 00:42:12,760 --> 00:42:15,360 Speaker 14: edits and then screening the embryo so that they're healthy 802 00:42:16,080 --> 00:42:19,040 Speaker 14: and we produce living healthy animals works and it it 803 00:42:19,120 --> 00:42:21,880 Speaker 14: also worked in one month. So we started the project 804 00:42:21,880 --> 00:42:24,880 Speaker 14: in September. In October we had our first mice and 805 00:42:24,920 --> 00:42:27,560 Speaker 14: they had exactly the number of edits we targeted with 806 00:42:27,560 --> 00:42:31,000 Speaker 14: one hundred percent efficiency, and the exact phenotypes are physical 807 00:42:31,000 --> 00:42:33,560 Speaker 14: attributes that we're looking for, which is a validation of 808 00:42:33,560 --> 00:42:35,120 Speaker 14: all the edits we're making in the mammoth. 809 00:42:35,120 --> 00:42:36,520 Speaker 2: Already this is pace. 810 00:42:36,600 --> 00:42:39,919 Speaker 4: Then what is the next step where do we get 811 00:42:39,960 --> 00:42:42,560 Speaker 4: to see the next innovations for this particular mouse. 812 00:42:43,360 --> 00:42:46,239 Speaker 14: Yeah, so right now, you know, it's obviously clear that 813 00:42:46,320 --> 00:42:50,120 Speaker 14: we can see the hair fluffiness or wooliness as we 814 00:42:50,200 --> 00:42:52,920 Speaker 14: like to call it, in terms of the texture, the thickness, 815 00:42:52,920 --> 00:42:55,680 Speaker 14: and the different ways it grows. We can also see 816 00:42:55,760 --> 00:42:59,440 Speaker 14: they're slightly slightly fattern a little bit larger, so it 817 00:42:59,560 --> 00:43:04,160 Speaker 14: goes into the lipid metabolism genes that we've edited from 818 00:43:04,280 --> 00:43:07,279 Speaker 14: the mammis. And then we can also see obviously the color, 819 00:43:07,320 --> 00:43:09,600 Speaker 14: which is the color that mammos are when you pull 820 00:43:09,640 --> 00:43:13,200 Speaker 14: them from the permafrost and clean all the promofrosts knock 821 00:43:13,320 --> 00:43:13,839 Speaker 14: off of them. 822 00:43:13,960 --> 00:43:14,760 Speaker 6: But what's really. 823 00:43:14,520 --> 00:43:16,960 Speaker 14: Interesting is over the next six to twelve months, once 824 00:43:17,000 --> 00:43:18,920 Speaker 14: we get approval from our ethics board and our I 825 00:43:19,120 --> 00:43:23,000 Speaker 14: Code Board, we'll actually start to do behavioral tests versus 826 00:43:23,000 --> 00:43:26,000 Speaker 14: wild type mice with feeding them different diets, increasing the 827 00:43:26,040 --> 00:43:29,080 Speaker 14: temperature just a little bit to see how they behave 828 00:43:29,239 --> 00:43:31,840 Speaker 14: in these different environments, to see if they do prefer 829 00:43:31,960 --> 00:43:34,480 Speaker 14: cold tolerance, And that'll be another signal that we're on 830 00:43:34,560 --> 00:43:36,799 Speaker 14: the right track with some of our mammoth edits that 831 00:43:36,800 --> 00:43:38,480 Speaker 14: we're making in the Asian alpha genome. 832 00:43:38,760 --> 00:43:40,239 Speaker 4: But I asked for it last time, and I sort 833 00:43:40,239 --> 00:43:43,600 Speaker 4: of returned to it at this moment of geopolitical anxiety. 834 00:43:44,200 --> 00:43:46,560 Speaker 2: A man who has built generative well, you. 835 00:43:46,600 --> 00:43:50,040 Speaker 4: Built AI companies, You've thought about defense, you've thought about space, 836 00:43:50,280 --> 00:43:53,400 Speaker 4: but now is the time you're thinking about willy mammos 837 00:43:53,440 --> 00:43:56,200 Speaker 4: and potentially extinct animals. 838 00:43:56,239 --> 00:43:59,200 Speaker 2: Coming back push us forward as the why again, why 839 00:43:59,360 --> 00:43:59,920 Speaker 2: we're doing this? 840 00:44:00,960 --> 00:44:02,600 Speaker 14: So we're going to lose up to fifty percent of 841 00:44:02,640 --> 00:44:05,200 Speaker 14: biodiversity between now and twenty fifty if we don't do 842 00:44:05,239 --> 00:44:08,000 Speaker 14: anything about it. Right, we know conservation works, it just 843 00:44:08,040 --> 00:44:10,400 Speaker 14: doesn't work at the speed of which we're eradicating species 844 00:44:10,440 --> 00:44:12,720 Speaker 14: and changing the planet. Right, So we need new tools 845 00:44:12,760 --> 00:44:16,400 Speaker 14: and technologies in that. And what's amazing about this project 846 00:44:16,560 --> 00:44:18,600 Speaker 14: is it gives us an opportunity to build new tools 847 00:44:18,600 --> 00:44:21,680 Speaker 14: and technologies which can help humans, which we're monetizing. It 848 00:44:21,760 --> 00:44:24,560 Speaker 14: also builds opportunity to build technologies that can help conservation, 849 00:44:24,880 --> 00:44:26,759 Speaker 14: which we're giving to the world for free. We've launched 850 00:44:26,800 --> 00:44:29,759 Speaker 14: our foundation last year with a fifty million dollars seat 851 00:44:29,800 --> 00:44:32,000 Speaker 14: investment in it. And it also gives us an opportunity 852 00:44:32,000 --> 00:44:34,600 Speaker 14: to inspire the next generation. So I'm really glad that 853 00:44:34,640 --> 00:44:36,719 Speaker 14: I'm not dealing with events or some of the other 854 00:44:36,800 --> 00:44:40,239 Speaker 14: geopolitical issues. I think everyone generally agrees on both sides 855 00:44:40,280 --> 00:44:42,600 Speaker 14: the aisle and all of the world that losing species 856 00:44:42,920 --> 00:44:45,360 Speaker 14: is bad and we should do everything we can to 857 00:44:45,400 --> 00:44:48,320 Speaker 14: protect what's here and build new technologies for conservation. 858 00:44:48,440 --> 00:44:49,320 Speaker 2: And that takes money. 859 00:44:49,320 --> 00:44:51,040 Speaker 4: And boy, if you raised it more than former and 860 00:44:51,080 --> 00:44:53,320 Speaker 4: thirty five million dollars of it, then the next stage 861 00:44:53,360 --> 00:44:54,359 Speaker 4: is how expensive is it? 862 00:44:54,400 --> 00:44:55,880 Speaker 2: How much more might you need to raise? 863 00:44:56,960 --> 00:44:59,719 Speaker 14: You know, where a technology startup, it's also innovating new 864 00:44:59,719 --> 00:45:03,120 Speaker 14: tech achnologies for human health care and other industrial use cases. 865 00:45:03,120 --> 00:45:05,359 Speaker 14: Like we spent out breaking last year, which is our 866 00:45:05,400 --> 00:45:08,560 Speaker 14: plastic degradation company. We spent out form Bio, our competition 867 00:45:08,640 --> 00:45:11,320 Speaker 14: biology company for human healthcare. We have another one that 868 00:45:11,440 --> 00:45:12,680 Speaker 14: may or may not be coming out at the end 869 00:45:12,719 --> 00:45:15,239 Speaker 14: of this year, and so we will continue to raise 870 00:45:15,280 --> 00:45:18,520 Speaker 14: money as long as there's investors' interest and sentiment and 871 00:45:18,560 --> 00:45:19,880 Speaker 14: they're excited about the mission. 872 00:45:19,880 --> 00:45:21,320 Speaker 6: But I think genetic. 873 00:45:20,960 --> 00:45:24,400 Speaker 14: Proofcases where we can identify genes and make one hundred 874 00:45:24,400 --> 00:45:27,680 Speaker 14: percent in precision at it's using multiplex editing, making all 875 00:45:27,719 --> 00:45:30,720 Speaker 14: these these editswards stack, you're made all at one time 876 00:45:31,000 --> 00:45:34,239 Speaker 14: with one hundred percent efficiency. That's just not something that 877 00:45:34,280 --> 00:45:36,879 Speaker 14: we see in genome engineering, right. I mean, I'd say 878 00:45:36,880 --> 00:45:41,520 Speaker 14: that leading the charge in genetic multiplex engineering is probably 879 00:45:41,640 --> 00:45:44,280 Speaker 14: a pretty large market long term. So we will continue 880 00:45:44,280 --> 00:45:46,200 Speaker 14: to raise more capital in the years to come. 881 00:45:46,680 --> 00:45:49,320 Speaker 4: The Willie Mouse the stepping stone to the Wily Mammoth. 882 00:45:49,760 --> 00:45:53,040 Speaker 4: Thanks so much for bringing us acute pictures and your expertise. 883 00:45:53,080 --> 00:45:56,319 Speaker 4: Ben Lamb, co founder CEO of Colossal Biosciences. Now that 884 00:45:56,360 --> 00:45:59,000 Speaker 4: does it for this edition of Bloomberg Technology. 885 00:46:00,960 --> 00:46:03,000 Speaker 7: What would be