1 00:00:02,480 --> 00:00:13,640 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. Bloomberg Tech is live 2 00:00:13,680 --> 00:00:17,479 Speaker 1: from coast to coast with Caroline Hyde in New York 3 00:00:17,760 --> 00:00:20,960 Speaker 1: and Edla Loow in San Francisco. 4 00:00:22,000 --> 00:00:23,640 Speaker 2: This is Bloomberg Tech coming up. 5 00:00:23,680 --> 00:00:27,280 Speaker 3: GameStop eyes eBay for fifty six billion dollars in cash 6 00:00:27,320 --> 00:00:30,040 Speaker 3: and stock and an audacious bid for a company four 7 00:00:30,040 --> 00:00:33,600 Speaker 3: times at size. eBay says the review that offer plus 8 00:00:33,680 --> 00:00:36,599 Speaker 3: AI chipmaker Cerebraus has been looking to raise as much 9 00:00:36,600 --> 00:00:38,440 Speaker 3: as three and a half billion dollars for a potential 10 00:00:38,479 --> 00:00:41,400 Speaker 3: IPO later this month, part of a growing cohort looking 11 00:00:41,440 --> 00:00:44,639 Speaker 3: to challenge in video and open AI raises more than 12 00:00:44,680 --> 00:00:47,080 Speaker 3: four billion dollars for a new joint venture that aims 13 00:00:47,120 --> 00:00:51,559 Speaker 3: to help businesses adopt it's AI software. A first free 14 00:00:51,680 --> 00:00:54,960 Speaker 3: check in on that extraordinary MNA news. The first dropped 15 00:00:54,960 --> 00:00:58,400 Speaker 3: on Friday and continues to move shares now. GameStop looking 16 00:00:58,440 --> 00:00:59,600 Speaker 3: to buy a company. 17 00:00:59,520 --> 00:01:01,120 Speaker 2: Four times its size. 18 00:01:01,240 --> 00:01:04,319 Speaker 3: GameStop currently off by seven percent, eBay up by more 19 00:01:04,360 --> 00:01:07,039 Speaker 3: than six percent. But we have to get the inside 20 00:01:07,120 --> 00:01:12,080 Speaker 3: track with Rineberg. Reporter Cecilia Denastasio with an extraordinary story 21 00:01:12,760 --> 00:01:15,160 Speaker 3: and one that the market tries to understand whether it's 22 00:01:15,160 --> 00:01:16,679 Speaker 3: for real or not? Can you just talk us about 23 00:01:16,680 --> 00:01:19,800 Speaker 3: the technicalities. Ryan Cohen here is offering for eBay. 24 00:01:20,040 --> 00:01:25,200 Speaker 4: Sure, So Ryan Cohen is offering a deal to purchase eBay, 25 00:01:25,200 --> 00:01:27,280 Speaker 4: which is, like you said, many times the size of 26 00:01:27,319 --> 00:01:30,920 Speaker 4: game Stop along with twenty billion dollars. He says he 27 00:01:30,959 --> 00:01:35,600 Speaker 4: has received a highly confident letter from TD Bank to acquire. 28 00:01:35,800 --> 00:01:38,600 Speaker 4: Analysts are unsure this deal will ever go through, but 29 00:01:38,680 --> 00:01:41,000 Speaker 4: Ryan Cohen says that if he manages to purchase eBay, 30 00:01:41,440 --> 00:01:43,240 Speaker 4: it would make a lot more money. 31 00:01:43,840 --> 00:01:46,319 Speaker 3: Make a lot more money. Okay, let's take this for real. 32 00:01:46,400 --> 00:01:48,280 Speaker 3: That he's good for the money he's able to afford. 33 00:01:48,280 --> 00:01:51,720 Speaker 3: What synergies are analysts kind of trying to pass through. 34 00:01:51,560 --> 00:01:52,080 Speaker 2: At the moment. 35 00:01:52,280 --> 00:01:54,840 Speaker 4: GameStop has really struggled over the last several years because 36 00:01:54,840 --> 00:02:00,080 Speaker 4: gamers are increasingly purchasing their wares in online stores like Valves, Steam, 37 00:02:00,520 --> 00:02:05,360 Speaker 4: and so GameStop has shrunk its footprint in their retail marketplace. 38 00:02:05,520 --> 00:02:08,520 Speaker 4: But Ryan Cohen has tried a lot of different strategies 39 00:02:08,560 --> 00:02:11,160 Speaker 4: to make it work. He's tried esports, he's tried e commerce, 40 00:02:11,160 --> 00:02:13,520 Speaker 4: which is from his background as the co founder of Chewi. 41 00:02:14,040 --> 00:02:17,120 Speaker 4: And while he's managed to you know, help the business 42 00:02:17,160 --> 00:02:19,320 Speaker 4: sustain a little bit more than people had hoped. Nothing's 43 00:02:19,400 --> 00:02:22,480 Speaker 4: really stuck. eBay gives him the opportunity, he says, to 44 00:02:22,520 --> 00:02:26,040 Speaker 4: compete with Amazon potentially, which of course is very very 45 00:02:26,040 --> 00:02:27,560 Speaker 4: ambitious in e commerce. 46 00:02:27,919 --> 00:02:31,840 Speaker 3: Well, Jamie I and Oni over eBay has been impressing 47 00:02:31,880 --> 00:02:34,680 Speaker 3: investors with his turnaround. He's been leaning into AI, He's 48 00:02:34,680 --> 00:02:37,160 Speaker 3: been leaning into partnerships with Meto, He's been thinking about 49 00:02:37,360 --> 00:02:40,240 Speaker 3: M and A himself with deepop. Just how do we 50 00:02:40,400 --> 00:02:43,520 Speaker 3: understand eBay is digesting this and thinking about it from 51 00:02:43,560 --> 00:02:45,320 Speaker 3: its own business and shitholder perspective. 52 00:02:45,520 --> 00:02:47,079 Speaker 2: eBay is evaluating the bid. 53 00:02:47,560 --> 00:02:50,680 Speaker 4: I think, you know, analysts again are not sure whether 54 00:02:50,919 --> 00:02:54,720 Speaker 4: the math is mathing when it comes to Gamestop's ability 55 00:02:54,800 --> 00:02:58,320 Speaker 4: to purchase the significantly larger company, and we'll see what happens. 56 00:02:58,400 --> 00:03:01,880 Speaker 4: Ryan Cohen has not given specific details on what he 57 00:03:01,919 --> 00:03:04,280 Speaker 4: imagines the synergies to be or what he imagines the 58 00:03:04,280 --> 00:03:05,600 Speaker 4: combined company to look like. 59 00:03:05,840 --> 00:03:09,480 Speaker 3: I think truists said this is stunning, and they're skeptical. 60 00:03:10,040 --> 00:03:12,560 Speaker 3: I mean, just in terms of how M and A 61 00:03:12,680 --> 00:03:16,320 Speaker 3: gets done. Letters from TD Banks saying they're good for it. 62 00:03:16,400 --> 00:03:18,600 Speaker 3: Ultimately are going to be dependent on the debt markets here, 63 00:03:18,840 --> 00:03:23,880 Speaker 3: but GameStop has always shocked the markets with its mean 64 00:03:23,960 --> 00:03:27,800 Speaker 3: stock potential, with roaring Kitties love and even with sky 65 00:03:27,880 --> 00:03:31,840 Speaker 3: on capital well now pivoted more into a substat newsletter. 66 00:03:32,160 --> 00:03:36,680 Speaker 3: But the guy who was known for trades on the 67 00:03:36,720 --> 00:03:39,240 Speaker 3: mortgage market back in two thousand and eight, Michael Barry, 68 00:03:39,280 --> 00:03:42,120 Speaker 3: is coming out saying this could be a really good story. 69 00:03:42,600 --> 00:03:43,840 Speaker 2: It could be a really good story. 70 00:03:43,880 --> 00:03:46,840 Speaker 4: Also, what people have pointed out that GameStop loves attention. 71 00:03:47,000 --> 00:03:49,400 Speaker 4: They make a lot of flashy moves. Chief executive Officer 72 00:03:49,440 --> 00:03:54,160 Speaker 4: Ryan Cohen posts very controversial things on social media about 73 00:03:54,160 --> 00:03:56,560 Speaker 4: the American business market. He has a lot of like 74 00:03:56,640 --> 00:04:01,760 Speaker 4: moving breaking strategies that he's excited to express, and you 75 00:04:01,800 --> 00:04:04,720 Speaker 4: know that's worked for GameStop. Game Stop managed to raise 76 00:04:04,760 --> 00:04:07,920 Speaker 4: some significant money from the meme stock frenzy and that's 77 00:04:07,960 --> 00:04:10,920 Speaker 4: allowed it to sustain a little bit longer. So who knows, 78 00:04:10,960 --> 00:04:14,760 Speaker 4: this could be a really exciting, fresh, strange way to 79 00:04:15,040 --> 00:04:17,960 Speaker 4: keep game Stop going, or it could be like some 80 00:04:18,040 --> 00:04:19,920 Speaker 4: of the analysts are saying, a little bit improbable. 81 00:04:20,480 --> 00:04:22,279 Speaker 3: Well, you're going to be across it. It was a 82 00:04:22,279 --> 00:04:25,240 Speaker 3: busy weekend for Cecilia Denasalgier. We're pleased that she joins 83 00:04:25,279 --> 00:04:28,000 Speaker 3: us to break it all down today. Meanwhile, well, let's 84 00:04:28,040 --> 00:04:29,800 Speaker 3: just take a look at the broader markets, because tech 85 00:04:29,839 --> 00:04:33,080 Speaker 3: stocks are again outperforming, but we're building on records that 86 00:04:33,120 --> 00:04:35,239 Speaker 3: we set back on Friday. We're up about a quarter percent, 87 00:04:35,480 --> 00:04:37,480 Speaker 3: but still in ASDA one hundred, as I say, at 88 00:04:37,480 --> 00:04:41,040 Speaker 3: a record. And it's not just what's happening over in America. Look, 89 00:04:41,080 --> 00:04:43,359 Speaker 3: the AI trade is back on track and we're seeing 90 00:04:43,360 --> 00:04:45,080 Speaker 3: that play out in Asia trading as well. 91 00:04:45,360 --> 00:04:47,800 Speaker 2: Ske Heinez extraordinary. 92 00:04:47,040 --> 00:04:50,120 Speaker 3: Moves for the high bandwidth memory maker up eleven percent. 93 00:04:50,200 --> 00:04:53,040 Speaker 3: Samsung as well, up three point four percent, even as 94 00:04:53,040 --> 00:04:55,159 Speaker 3: the company maybe having to navigate some sort of strike 95 00:04:55,200 --> 00:04:57,920 Speaker 3: potential going on with the business. But records being set 96 00:04:57,960 --> 00:05:00,520 Speaker 3: in Asia. Following through from what we saw in America 97 00:05:01,000 --> 00:05:03,320 Speaker 3: comes last we can see more audacious m and A 98 00:05:03,640 --> 00:05:05,240 Speaker 3: What are we going to see in terms of IPOs. 99 00:05:05,520 --> 00:05:07,880 Speaker 3: Perfect person to talk it through is that Nancy Tanglish, 100 00:05:07,880 --> 00:05:12,120 Speaker 3: the CEO CIO of Laffatanglo Investments. Look, your TGLR ETF 101 00:05:12,320 --> 00:05:14,440 Speaker 3: is already outperforming even the S and P five found 102 00:05:14,480 --> 00:05:17,359 Speaker 3: in which we note is basically at or near record highs, 103 00:05:17,720 --> 00:05:20,920 Speaker 3: you're outperforming by six percent, Nanci Is tech going to 104 00:05:21,000 --> 00:05:22,200 Speaker 3: remain the dominant force here? 105 00:05:23,440 --> 00:05:25,480 Speaker 5: I think so, Caroline, thanks so much for having me. 106 00:05:26,279 --> 00:05:27,000 Speaker 5: I do think so. 107 00:05:28,040 --> 00:05:31,000 Speaker 6: If you just think about what is driving margins on 108 00:05:31,120 --> 00:05:35,360 Speaker 6: the SMP companies, it is either the technology companies themselves 109 00:05:35,800 --> 00:05:40,240 Speaker 6: or the use of technology by old economy companies. One 110 00:05:40,279 --> 00:05:43,400 Speaker 6: of the noteworthy earnings comments came from L three Harris 111 00:05:43,440 --> 00:05:46,680 Speaker 6: where they said revenue per employee has increased this is 112 00:05:46,839 --> 00:05:51,000 Speaker 6: CEO by almost twenty five percent over the last couple 113 00:05:51,040 --> 00:05:54,559 Speaker 6: of years. So if you can produce more with less, 114 00:05:55,040 --> 00:05:57,599 Speaker 6: then that is what we call productivity, and that will 115 00:05:57,640 --> 00:05:58,200 Speaker 6: continue to. 116 00:05:58,240 --> 00:05:59,480 Speaker 5: Drive stock prices higher. 117 00:05:59,480 --> 00:06:04,520 Speaker 6: As we've seen in increasing earnings estimate revisions up. 118 00:06:05,040 --> 00:06:09,039 Speaker 3: Are you buying that's AI fueled productivity gains? There's such 119 00:06:09,120 --> 00:06:12,240 Speaker 3: mixed messages BIS out of you read the bound of 120 00:06:12,360 --> 00:06:15,560 Speaker 3: International Settlements. I said, they've seen about four percent productivity 121 00:06:15,640 --> 00:06:19,040 Speaker 3: gains more generally, and that seems to be being sustained. 122 00:06:19,080 --> 00:06:21,159 Speaker 3: But if L three House is seing twenty five percent, 123 00:06:21,240 --> 00:06:23,880 Speaker 3: what more are these CEOs doing well? 124 00:06:24,520 --> 00:06:26,640 Speaker 5: So I think you have to listen to the companies. 125 00:06:27,120 --> 00:06:29,760 Speaker 6: My team sits on all the earnings calls and we 126 00:06:29,880 --> 00:06:32,280 Speaker 6: develop themes out of those earnings calls and then we 127 00:06:32,400 --> 00:06:35,960 Speaker 6: discuss them. And we're hearing it from a broad base 128 00:06:36,520 --> 00:06:40,640 Speaker 6: across economic sector group of companies, not every company, but 129 00:06:40,880 --> 00:06:43,040 Speaker 6: most companies. I mean, you even heard it from ge 130 00:06:43,200 --> 00:06:47,360 Speaker 6: Vernova that said, yeah, we're benefiting from AI in the buildout, 131 00:06:47,640 --> 00:06:48,760 Speaker 6: but we all want. 132 00:06:48,680 --> 00:06:52,240 Speaker 5: You also to know that we're utilizing AI to produce 133 00:06:52,360 --> 00:06:53,200 Speaker 5: our productivity. 134 00:06:53,360 --> 00:06:57,839 Speaker 6: Our margins are output for employee as well and managing 135 00:06:57,920 --> 00:07:01,360 Speaker 6: the supply chain. So I mean, just use ax ask 136 00:07:01,560 --> 00:07:04,719 Speaker 6: B on Bloomberg and it can save you a colossal 137 00:07:04,760 --> 00:07:08,360 Speaker 6: amount of time as an analyst if in fact you 138 00:07:08,560 --> 00:07:13,800 Speaker 6: utilize it. So, I mean, we've been bitpounding the tech 139 00:07:13,920 --> 00:07:17,160 Speaker 6: trade for about four years now on the theme of 140 00:07:17,320 --> 00:07:20,640 Speaker 6: old economy companies pivoting to the new technologies and then 141 00:07:20,720 --> 00:07:23,160 Speaker 6: in fact the companies that are the suppliers. 142 00:07:23,440 --> 00:07:26,280 Speaker 5: I think it continues, not forever, but for now. 143 00:07:26,760 --> 00:07:29,480 Speaker 2: What's been interesting is the sort of the haves and 144 00:07:29,520 --> 00:07:30,080 Speaker 2: the have nots. 145 00:07:30,160 --> 00:07:31,880 Speaker 3: Now, I'm in no way going to say Metas not 146 00:07:32,360 --> 00:07:34,320 Speaker 3: have not yet we can't write them off, but there 147 00:07:34,560 --> 00:07:36,920 Speaker 3: what they don't have is cloud compute that they sell 148 00:07:36,960 --> 00:07:41,040 Speaker 3: to others. They're busy investing in their own AI infrastructure. Meanwhile, 149 00:07:41,120 --> 00:07:43,960 Speaker 3: Alphabet was applauded for the fact that it's investing, raising 150 00:07:44,040 --> 00:07:46,640 Speaker 3: capital expenditure, but also able to benefit with the. 151 00:07:46,640 --> 00:07:47,880 Speaker 2: Growth of Google Cloud. 152 00:07:48,320 --> 00:07:51,320 Speaker 3: How are you seeing earnings play out, because both we've 153 00:07:51,360 --> 00:07:54,160 Speaker 3: seen from Meta they are having to cut people, having 154 00:07:54,240 --> 00:07:57,200 Speaker 3: to talk about laying off a sizeable amount of the 155 00:07:57,280 --> 00:08:00,080 Speaker 3: workforce to be able to redeploy capital back into the 156 00:08:00,120 --> 00:08:01,720 Speaker 3: AI infrastructure. Is that something I'm going to head time 157 00:08:01,760 --> 00:08:03,480 Speaker 3: and time again, and who do we congratulate for it 158 00:08:03,600 --> 00:08:03,760 Speaker 3: or not? 159 00:08:06,160 --> 00:08:08,280 Speaker 6: Well, so, I've talked about it quite a bit on 160 00:08:08,360 --> 00:08:10,040 Speaker 6: your show that we got out of Meta. I just 161 00:08:10,120 --> 00:08:12,640 Speaker 6: didn't like the business model. I didn't see the opportunity. 162 00:08:13,240 --> 00:08:15,480 Speaker 6: We went into Spotify, which at the time was a 163 00:08:15,600 --> 00:08:19,560 Speaker 6: good transaction. We were wrong about Meta to some extent, 164 00:08:19,640 --> 00:08:22,040 Speaker 6: but we were right about Spotify, and we now think 165 00:08:22,120 --> 00:08:26,240 Speaker 6: that we are somewhat vindicated on the Meta model because 166 00:08:26,320 --> 00:08:29,240 Speaker 6: they aren't able to monetize AI in a way that 167 00:08:29,360 --> 00:08:32,439 Speaker 6: Google and Amazon and even Microsoft are able to do. 168 00:08:32,840 --> 00:08:36,960 Speaker 6: They are able to improve their advertising business. But Mark 169 00:08:37,080 --> 00:08:40,760 Speaker 6: Zuckerberg has made these colossal pivots and been wrong in 170 00:08:40,840 --> 00:08:44,280 Speaker 6: the past. So we own all of the mag seven 171 00:08:44,760 --> 00:08:47,719 Speaker 6: x meta. It will have its day again just like 172 00:08:47,920 --> 00:08:50,040 Speaker 6: Intel did. The question is how long. 173 00:08:49,960 --> 00:08:53,320 Speaker 5: Will one have to wait and what is the opportunity cost. 174 00:08:53,320 --> 00:08:56,680 Speaker 3: And the global opportunity cost or global opportunity We were 175 00:08:56,760 --> 00:08:59,760 Speaker 3: just talking about how Asia trade has just seen colossal 176 00:08:59,800 --> 00:09:02,719 Speaker 3: game still for the AI infrastructure betsna see. Is that 177 00:09:02,800 --> 00:09:04,720 Speaker 3: still going to be the winning formula the chip makers? 178 00:09:04,760 --> 00:09:07,200 Speaker 3: The designer is right now, I think. 179 00:09:07,080 --> 00:09:09,480 Speaker 6: In the near term, Caroline, but I think what we're 180 00:09:09,520 --> 00:09:12,000 Speaker 6: going to start pivoting to and we launched a thematic 181 00:09:12,080 --> 00:09:16,319 Speaker 6: portfolio with a focus on space in robotics, quantum and 182 00:09:16,480 --> 00:09:19,280 Speaker 6: then nuclear and then of course the metals and minerals 183 00:09:19,280 --> 00:09:22,480 Speaker 6: that are needed to drive those technologies. So I think 184 00:09:22,600 --> 00:09:25,319 Speaker 6: for the near term, I mean, we're hearing that the 185 00:09:25,440 --> 00:09:29,120 Speaker 6: backlogs are enormous again in the infrastructure names, in the 186 00:09:29,240 --> 00:09:32,400 Speaker 6: chip names, and I think at some point we will 187 00:09:32,440 --> 00:09:36,680 Speaker 6: begin to see software as a major beneficiary. Not every 188 00:09:36,760 --> 00:09:40,880 Speaker 6: software company. We exited Adobe and CRM quite some time ago, 189 00:09:41,440 --> 00:09:43,920 Speaker 6: and we've been wrong about service now so far. But 190 00:09:44,040 --> 00:09:46,599 Speaker 6: I think you'll start to see the winners there and 191 00:09:46,640 --> 00:09:50,120 Speaker 6: then you'll see the market pivot at least back to software. 192 00:09:50,200 --> 00:09:52,800 Speaker 6: So I think there's still a lot of opportunities in 193 00:09:53,720 --> 00:09:57,280 Speaker 6: this new industrial revolution we're living through Naze Tangla. 194 00:09:57,440 --> 00:09:59,440 Speaker 3: It's always great to have you on CEO and CIO 195 00:09:59,520 --> 00:10:03,200 Speaker 3: of l Hangler Investments on all things AI and tech trade. Meanwhile, 196 00:10:03,240 --> 00:10:06,959 Speaker 3: coming up more AI, open Ai Anthropic are each forming 197 00:10:07,040 --> 00:10:10,840 Speaker 3: joint ventures aimed at boosting AI adoption. Will have the details. Next, 198 00:10:11,320 --> 00:10:23,960 Speaker 3: this is Blue meg Tech, Open Ai and Anthropic are 199 00:10:24,120 --> 00:10:26,800 Speaker 3: each forming partnerships aimed at boosting the use of AI 200 00:10:26,920 --> 00:10:30,400 Speaker 3: tools by businesses. Are sourcing saying that open ai has 201 00:10:30,480 --> 00:10:32,600 Speaker 3: raised more than four billion dollars for a new joint 202 00:10:32,679 --> 00:10:35,439 Speaker 3: venture that includes backing from TPG, Brickfield Asset Management and 203 00:10:35,520 --> 00:10:39,600 Speaker 3: Being Capital. Meanwhile, rival Anthropic is partnering with Blackstone Helman 204 00:10:39,679 --> 00:10:42,719 Speaker 3: Friedman Goldman Sachs. According to a statement, let's get the 205 00:10:42,800 --> 00:10:45,120 Speaker 3: latest boom Meg Seth Figureman, this is all about getting 206 00:10:45,200 --> 00:10:50,600 Speaker 3: private equity companies, portfolio companies to use the technology. 207 00:10:50,120 --> 00:10:53,959 Speaker 7: Right Yeah, and there list of portfolio companies that work 208 00:10:54,000 --> 00:10:56,160 Speaker 7: with them. And I think it's a really comment in AI. 209 00:10:56,480 --> 00:10:57,959 Speaker 7: For most of the air boom, a lot of the 210 00:10:58,000 --> 00:11:00,160 Speaker 7: focus has been on the competitive landscape of who can 211 00:11:00,200 --> 00:11:03,199 Speaker 7: build better and more sophisticated models. Now we're seeing a 212 00:11:03,320 --> 00:11:06,920 Speaker 7: really important vector is who can do better at gegging 213 00:11:07,040 --> 00:11:10,880 Speaker 7: businesses to understand and adopt that technology in their day 214 00:11:10,880 --> 00:11:11,400 Speaker 7: to day work. 215 00:11:11,840 --> 00:11:14,120 Speaker 2: There's just different tactics in which it's being deployed. 216 00:11:14,240 --> 00:11:19,160 Speaker 3: So open ai is raising money themselves alongside outside investment 217 00:11:19,240 --> 00:11:20,800 Speaker 3: for a company that's going to be worth all told 218 00:11:20,920 --> 00:11:25,480 Speaker 3: ten billion, not including that funding, and then how does 219 00:11:25,520 --> 00:11:28,480 Speaker 3: it roll out because they've also had this interesting deal 220 00:11:28,640 --> 00:11:31,800 Speaker 3: where they helped invest in Thrive Holdings, which is Thrive 221 00:11:31,920 --> 00:11:35,720 Speaker 3: Capital's ability to sort of deploy AI into other parts 222 00:11:35,760 --> 00:11:36,520 Speaker 3: of the ecosystem. 223 00:11:36,640 --> 00:11:38,680 Speaker 7: Yeah, I mean at some level this is being pitched 224 00:11:38,720 --> 00:11:42,079 Speaker 7: as a separate venture, but Opening I will be the 225 00:11:42,240 --> 00:11:45,079 Speaker 7: majority owner and in control of it according to the 226 00:11:45,160 --> 00:11:47,839 Speaker 7: sourcing that we have here, which suggests that they will 227 00:11:47,880 --> 00:11:50,760 Speaker 7: have a key role in dictating how this proceeds. And 228 00:11:50,800 --> 00:11:53,840 Speaker 7: I think again the idea is rather than open ai 229 00:11:54,160 --> 00:11:56,559 Speaker 7: on its own balance sheet, within its own ranks figuring 230 00:11:56,559 --> 00:11:58,520 Speaker 7: out how to get their technology into the hands of 231 00:11:58,600 --> 00:12:01,280 Speaker 7: more business leaders, they will now work with this consortium 232 00:12:01,320 --> 00:12:05,320 Speaker 7: of partners and investors across thousands of potential portfolio companies to. 233 00:12:05,360 --> 00:12:05,880 Speaker 2: Do that work. 234 00:12:06,360 --> 00:12:09,839 Speaker 3: I mean, while the timing just sensational that Anthelopic is 235 00:12:09,840 --> 00:12:11,880 Speaker 3: announcing the same thing on the same day. 236 00:12:12,600 --> 00:12:14,440 Speaker 7: Again, it speaks to the moment that we're in right now. 237 00:12:14,520 --> 00:12:17,559 Speaker 7: These two companies are following somewhat similar playbooks to bolster 238 00:12:17,720 --> 00:12:21,120 Speaker 7: revenue and business traction heading into the potential IPOs. 239 00:12:21,679 --> 00:12:25,000 Speaker 3: So figureman across an astounding amount of stories. 240 00:12:25,080 --> 00:12:27,880 Speaker 2: As ever, we thank you very much. Indeed, sticking with 241 00:12:28,120 --> 00:12:28,600 Speaker 2: Open Ai. 242 00:12:28,840 --> 00:12:31,120 Speaker 3: Look, the startup's president, Greg Brockman is set to take 243 00:12:31,120 --> 00:12:33,920 Speaker 3: the stand today in a company's legal battle against Elon Musk. 244 00:12:33,960 --> 00:12:36,959 Speaker 2: Brotman is expected to face probe questions about. 245 00:12:36,880 --> 00:12:40,000 Speaker 3: A personal journal he kept, which Musk's legal team says 246 00:12:40,360 --> 00:12:43,400 Speaker 3: is evidence he and open Ai CEO Sam Altman intended 247 00:12:43,440 --> 00:12:47,640 Speaker 3: to abandon the company's nonprofit mission now. 248 00:12:47,600 --> 00:12:48,360 Speaker 2: For all this AI. 249 00:12:48,960 --> 00:12:52,560 Speaker 3: Guess what you need compute and chipmaker and data center operators. 250 00:12:52,600 --> 00:12:55,360 Speaker 3: Cerebrius is looking to capitalize on that very demand. The 251 00:12:55,480 --> 00:12:57,920 Speaker 3: nvideo rival, as it likes to see itself, is seeking 252 00:12:57,920 --> 00:12:59,240 Speaker 3: to raise as much as three and a half billion 253 00:12:59,280 --> 00:13:02,040 Speaker 3: dollars from a pub offering later this month. Price range 254 00:13:02,120 --> 00:13:04,800 Speaker 3: and its security is filing really confirms Bluemog's earlier reporting. 255 00:13:05,120 --> 00:13:06,959 Speaker 3: Let's get to one of the reporters who's always across 256 00:13:07,080 --> 00:13:11,000 Speaker 3: IPO's Bailey Lipshaltz. No, this is a company that wants 257 00:13:11,040 --> 00:13:13,239 Speaker 3: to offer more inferencing capacity. 258 00:13:13,679 --> 00:13:15,120 Speaker 2: Is it really a competitor end. 259 00:13:15,120 --> 00:13:16,120 Speaker 5: Video in their mind? 260 00:13:16,200 --> 00:13:18,679 Speaker 8: Yes, And even when I talk to investors, there's a 261 00:13:18,760 --> 00:13:21,760 Speaker 8: world that they will kind of be another option, if 262 00:13:21,760 --> 00:13:23,160 Speaker 8: you will. It goes back to kind of the debate 263 00:13:23,200 --> 00:13:26,040 Speaker 8: around Starlink and saying, Okay, well, yes they dominate that 264 00:13:26,200 --> 00:13:28,640 Speaker 8: potential market, but there have to be other players. So 265 00:13:28,720 --> 00:13:30,640 Speaker 8: while there is at least for now a monopoly of 266 00:13:30,720 --> 00:13:33,920 Speaker 8: source for in video, when you look at the partnerships 267 00:13:33,960 --> 00:13:36,679 Speaker 8: that Serabras has inked, obviously G forty two was a 268 00:13:36,720 --> 00:13:38,760 Speaker 8: big risk, but now leaning into opening Eye and kind 269 00:13:38,760 --> 00:13:41,840 Speaker 8: of diversifying the customer flow, it does seem like that's 270 00:13:41,840 --> 00:13:43,240 Speaker 8: a bit of a ball case. And keep in mind, 271 00:13:43,320 --> 00:13:46,360 Speaker 8: even with this potential IPO, we're talking about a company 272 00:13:46,480 --> 00:13:49,920 Speaker 8: potentially valued at thirty three billion dollars, not four trillion dollars. 273 00:13:50,760 --> 00:13:51,800 Speaker 2: Good context. 274 00:13:52,200 --> 00:13:53,679 Speaker 3: Look, this could all come to bear as soon as 275 00:13:53,720 --> 00:13:56,560 Speaker 3: May thirteenth, right, we're thinking that's when the pricing's happening, 276 00:13:56,640 --> 00:13:57,559 Speaker 3: the trading begins. 277 00:13:58,280 --> 00:13:59,800 Speaker 2: Is this going to be a retail focused name. 278 00:14:00,000 --> 00:14:02,480 Speaker 3: Who's going to be understanding the Cerebraus story because G 279 00:14:02,600 --> 00:14:04,720 Speaker 3: forty two, as you know, as you were just illuminating 280 00:14:04,840 --> 00:14:07,280 Speaker 3: to us, Look, this is a geopolitical story as well. 281 00:14:07,480 --> 00:14:09,760 Speaker 8: It is geopolitical story, but you have to keep in 282 00:14:09,840 --> 00:14:12,000 Speaker 8: mind that this is a company that fits into the 283 00:14:12,240 --> 00:14:15,439 Speaker 8: themes that are dominating capital markets right now, AI and 284 00:14:15,520 --> 00:14:18,480 Speaker 8: AI infrastructure. So we've seen investors lean into the X 285 00:14:18,640 --> 00:14:21,120 Speaker 8: energies of the world that want to promise a nuclear future. 286 00:14:21,320 --> 00:14:24,000 Speaker 8: We're talking about this name with a number of hedge 287 00:14:24,040 --> 00:14:26,200 Speaker 8: funds and long only investors, and they're saying, you kind 288 00:14:26,200 --> 00:14:28,360 Speaker 8: of have to own this company if you play the 289 00:14:28,560 --> 00:14:32,360 Speaker 8: IPO calendar, So it will broaden across reach across kind 290 00:14:32,360 --> 00:14:34,880 Speaker 8: of the broader investor group, if you will. And one 291 00:14:34,880 --> 00:14:37,240 Speaker 8: thing to keep in mind with this launch, we're expecting 292 00:14:37,280 --> 00:14:40,600 Speaker 8: potentially eight billion dollars of IPOs proceeds being raised in 293 00:14:40,600 --> 00:14:42,480 Speaker 8: the next two weeks. This will be a big part 294 00:14:42,520 --> 00:14:44,600 Speaker 8: of that, and how this performs will help set the 295 00:14:44,680 --> 00:14:47,040 Speaker 8: stage for SpaceX likely next month and. 296 00:14:47,080 --> 00:14:49,360 Speaker 3: Then maybe open AI on propic. Look, this is a 297 00:14:49,400 --> 00:14:51,720 Speaker 3: great time considering where the market's trading out right. 298 00:14:51,840 --> 00:14:53,520 Speaker 8: I mean, that's been the interesting thing right is you 299 00:14:53,640 --> 00:14:56,640 Speaker 8: look at the socks. We were up more than thirty 300 00:14:56,680 --> 00:14:58,720 Speaker 8: five percent in the last month. So when you look 301 00:14:58,760 --> 00:15:02,120 Speaker 8: at expectations for this company in particular, a month ago, 302 00:15:02,400 --> 00:15:04,440 Speaker 8: you would have said, okay, twenty five thirty, sure you 303 00:15:04,480 --> 00:15:06,200 Speaker 8: can sell me on that. Now it's like thirty five 304 00:15:06,320 --> 00:15:09,280 Speaker 8: to forty billion dollars, just because your comps are up 305 00:15:09,360 --> 00:15:11,960 Speaker 8: so sharply. Just starts to make sense when you're looking 306 00:15:12,000 --> 00:15:14,160 Speaker 8: at how you have to value a company when it's 307 00:15:14,200 --> 00:15:16,560 Speaker 8: going public, is what do your comparables look like? Take 308 00:15:16,560 --> 00:15:18,440 Speaker 8: a little bit of a discount, and that math is 309 00:15:18,680 --> 00:15:21,360 Speaker 8: kind of working in the company's favor again, just given 310 00:15:21,400 --> 00:15:23,440 Speaker 8: them move higher that we've seen for some of those peers. 311 00:15:23,560 --> 00:15:26,440 Speaker 3: It's a different company, but it's almost tangential to the 312 00:15:26,560 --> 00:15:28,400 Speaker 3: likes of a core Weave, which is all about trying 313 00:15:28,440 --> 00:15:29,640 Speaker 3: to solve the compute issues. 314 00:15:29,880 --> 00:15:31,160 Speaker 2: For core Weave, the. 315 00:15:31,160 --> 00:15:34,360 Speaker 3: Headache has always been I've got more customers than you realize. 316 00:15:34,720 --> 00:15:36,960 Speaker 3: Is this where maybe Cerebrius is going to have to 317 00:15:36,960 --> 00:15:38,160 Speaker 3: convince the market too well. 318 00:15:38,240 --> 00:15:39,800 Speaker 8: I think that was the big pitch and the big 319 00:15:39,880 --> 00:15:43,720 Speaker 8: reason that diversifying away from G forty two at least 320 00:15:44,040 --> 00:15:46,640 Speaker 8: is some indigestion for investors. Yes, when they try to 321 00:15:46,680 --> 00:15:48,800 Speaker 8: go public the first time over a year ago, it 322 00:15:48,920 --> 00:15:52,320 Speaker 8: was concentration risk, it was Siffius uncertainty, it was obviously 323 00:15:52,440 --> 00:15:56,120 Speaker 8: kind of every number of potential bear cases. Whereas now 324 00:15:56,240 --> 00:15:58,760 Speaker 8: the tide really has shifted, so you do have the 325 00:15:59,440 --> 00:16:01,720 Speaker 8: kind of your focus of one customer similar to a 326 00:16:01,800 --> 00:16:04,160 Speaker 8: core we were there was such a bare case of okay, well, 327 00:16:04,200 --> 00:16:06,480 Speaker 8: how relying are you on one company? Now we're seeing 328 00:16:06,560 --> 00:16:08,760 Speaker 8: that spread out just a little bit. The interesting thing 329 00:16:08,800 --> 00:16:11,200 Speaker 8: will be how do they structure this lockup and what 330 00:16:11,280 --> 00:16:14,040 Speaker 8: does the performance really look like six months from now 331 00:16:14,160 --> 00:16:16,400 Speaker 8: as opposed to day one trading, which we've seen kind 332 00:16:16,400 --> 00:16:17,360 Speaker 8: of can be all over the map. 333 00:16:17,840 --> 00:16:19,880 Speaker 3: Well said, it's going to be a busy old week, 334 00:16:20,000 --> 00:16:21,880 Speaker 3: old month for you. I think Badi Dipshils, we so 335 00:16:21,960 --> 00:16:24,320 Speaker 3: appreciate it. On all things IPO is now coming up. 336 00:16:24,640 --> 00:16:26,400 Speaker 3: We've got planning more to come on the world of 337 00:16:26,440 --> 00:16:29,120 Speaker 3: AI and AI inference. I'm going to be hearing from 338 00:16:29,160 --> 00:16:31,520 Speaker 3: a company US leading that charge in the private space. 339 00:16:31,600 --> 00:16:34,040 Speaker 3: CEO of Deep Infra is going to be joining us Nicolair. 340 00:16:34,200 --> 00:16:36,080 Speaker 3: For ourself, this is a bloomberg tech. 341 00:16:46,080 --> 00:16:47,120 Speaker 2: In the race to build the. 342 00:16:47,200 --> 00:16:50,680 Speaker 3: Next great AI models. The industry is tackling various bottlenecks, 343 00:16:50,880 --> 00:16:54,800 Speaker 3: one of course being access to compute. Deep Infra is 344 00:16:54,880 --> 00:16:58,040 Speaker 3: trying to alleviate access to AI inference with a purpose 345 00:16:58,080 --> 00:16:59,160 Speaker 3: built cloud platform. 346 00:16:59,360 --> 00:16:59,960 Speaker 2: It's just a cure. 347 00:17:00,040 --> 00:17:02,040 Speaker 3: One hundred and some million dollars in a series B 348 00:17:02,160 --> 00:17:06,000 Speaker 3: funding back by the likes of Video Samsung joining us 349 00:17:06,080 --> 00:17:09,159 Speaker 3: now from San Francisco is deep in for CEO Nicola 350 00:17:09,400 --> 00:17:11,359 Speaker 3: or asof Nicola, It is great to have you on 351 00:17:11,480 --> 00:17:14,640 Speaker 3: the show. Why would in video want to put money 352 00:17:14,680 --> 00:17:17,080 Speaker 3: into you? How are you helping the GPU story? 353 00:17:18,800 --> 00:17:23,920 Speaker 9: Yeah, thanks thanks for having me. Well, we're helping companies 354 00:17:23,960 --> 00:17:28,520 Speaker 9: get access to these great open source models, and we're 355 00:17:28,640 --> 00:17:33,800 Speaker 9: building this purpose built inference cloud. So it's it's really 356 00:17:33,920 --> 00:17:36,199 Speaker 9: you need to you need to build a specialized infrastructure 357 00:17:36,240 --> 00:17:41,160 Speaker 9: to do inference efficiently, and it really helps everyone access 358 00:17:41,440 --> 00:17:44,960 Speaker 9: these great open source AI models really well. And I 359 00:17:45,080 --> 00:17:48,880 Speaker 9: mean that's why Vida was excited to participate in around. 360 00:17:49,480 --> 00:17:53,080 Speaker 3: We were just hearing that Cerebraus, which also wants to 361 00:17:53,119 --> 00:17:56,600 Speaker 3: speed up AI inference offerings, is going to be tapping 362 00:17:56,680 --> 00:17:59,960 Speaker 3: the public markets. It sees itself as an in video 363 00:18:00,080 --> 00:18:04,080 Speaker 3: a competitor. How Nicola are you more of an adjacent 364 00:18:04,359 --> 00:18:07,000 Speaker 3: to the Nvidia story. How are you looking to help 365 00:18:07,080 --> 00:18:09,879 Speaker 3: deploy GPS? Why is your compute different? 366 00:18:12,640 --> 00:18:16,320 Speaker 9: You know, we we've tried a number of different inference accelerators, 367 00:18:16,400 --> 00:18:19,880 Speaker 9: but we believe like Nvidia's hardware is still the most efficient, 368 00:18:20,160 --> 00:18:25,840 Speaker 9: the best to do inference at and we're just doubling 369 00:18:25,880 --> 00:18:29,800 Speaker 9: down on that kind of hardware platform, and we like 370 00:18:30,000 --> 00:18:33,080 Speaker 9: working closely with the teams that the video and just 371 00:18:33,240 --> 00:18:37,399 Speaker 9: making inference more efficient. Lowering the price per token is 372 00:18:37,760 --> 00:18:44,400 Speaker 9: what we really like to focus on, and so that's 373 00:18:44,480 --> 00:18:46,760 Speaker 9: kind of our path. We you know, there would be 374 00:18:46,840 --> 00:18:49,359 Speaker 9: a lot of demand for inference down the line, like 375 00:18:50,000 --> 00:18:52,199 Speaker 9: we think that eighty percent of the compute is going 376 00:18:52,280 --> 00:18:56,440 Speaker 9: to go towards inference, But at the moment, you know, 377 00:18:56,960 --> 00:18:59,960 Speaker 9: we've invested heavily into the Nvidia hardware stack. 378 00:19:00,960 --> 00:19:04,880 Speaker 3: What's interesting is you're already processing what five trillion tokens 379 00:19:04,920 --> 00:19:07,879 Speaker 3: per week? How do you get the efficiencies? How do 380 00:19:07,920 --> 00:19:10,119 Speaker 3: you drive down the cost of token? 381 00:19:12,680 --> 00:19:16,080 Speaker 9: It's a lot of hard work, and we look at 382 00:19:16,119 --> 00:19:19,399 Speaker 9: it through the whole stack of like where we build 383 00:19:19,440 --> 00:19:23,440 Speaker 9: this kind of inference clusters, which data centers we go in, 384 00:19:24,119 --> 00:19:26,560 Speaker 9: how we structure them, and then a lot on the 385 00:19:26,640 --> 00:19:30,240 Speaker 9: software on top of it. We believe like one of 386 00:19:30,320 --> 00:19:33,520 Speaker 9: the key things is to have very good caching of tokens. 387 00:19:33,560 --> 00:19:36,520 Speaker 9: As these agents kind of interact with theim models. They 388 00:19:37,400 --> 00:19:41,480 Speaker 9: basically make many requests in a loop with roughly the 389 00:19:41,520 --> 00:19:44,960 Speaker 9: same context. So like I think kV cash is a 390 00:19:45,320 --> 00:19:51,760 Speaker 9: really key to efficiency of inference. And you know, we've 391 00:19:51,760 --> 00:19:55,359 Speaker 9: been doing this for about four years. We saw the 392 00:19:55,920 --> 00:20:00,359 Speaker 9: demand for inference coming and we really focused on how 393 00:20:00,440 --> 00:20:02,720 Speaker 9: do we build an purpose build inference cloud. 394 00:20:03,840 --> 00:20:06,320 Speaker 3: And I think therefore you are scaling out you have 395 00:20:06,680 --> 00:20:08,920 Speaker 3: was it you're operating out of eight data centers. I 396 00:20:08,960 --> 00:20:11,399 Speaker 3: think it is already with this new money one hundred 397 00:20:11,400 --> 00:20:13,680 Speaker 3: million more than where do you deploy that? 398 00:20:16,480 --> 00:20:19,560 Speaker 9: We will use the capital from this fundraise to scale 399 00:20:19,560 --> 00:20:20,240 Speaker 9: our platform. 400 00:20:20,440 --> 00:20:21,000 Speaker 2: We will. 401 00:20:22,760 --> 00:20:26,359 Speaker 9: You know, deploy more of the latest Nvidia chips and 402 00:20:26,920 --> 00:20:30,960 Speaker 9: then scale our inference platform across the US, but also 403 00:20:31,000 --> 00:20:34,199 Speaker 9: we're looking to expand in Europe and Asia later this year. 404 00:20:35,240 --> 00:20:39,520 Speaker 3: Samsung also part of the strategic investors. It's not just 405 00:20:40,119 --> 00:20:42,480 Speaker 3: GPUs from in video one needs. You need an awful 406 00:20:42,560 --> 00:20:44,919 Speaker 3: lot of the high bandwidth memory. We know about memory 407 00:20:44,960 --> 00:20:47,880 Speaker 3: costs soaring because of the AI demand. Is that why 408 00:20:48,000 --> 00:20:50,200 Speaker 3: some sung comes forward. How are you thinking about the 409 00:20:50,240 --> 00:20:53,200 Speaker 3: supply chain headaches or not that you might face. 410 00:20:54,640 --> 00:20:58,160 Speaker 9: Yeah, you know, in the last couple since the beginning 411 00:20:58,160 --> 00:21:00,320 Speaker 9: of the year, it's been like struggle to find some 412 00:21:00,440 --> 00:21:03,680 Speaker 9: of the chips that we need for our inference clusters. 413 00:21:04,720 --> 00:21:08,960 Speaker 9: Memory and discs have been an issue, and so it's 414 00:21:09,000 --> 00:21:11,959 Speaker 9: important for us to have you know, in our corner 415 00:21:13,000 --> 00:21:16,160 Speaker 9: good investors that they are helping us, including super Micro 416 00:21:16,359 --> 00:21:20,159 Speaker 9: and Samsung, con and Nvidia, to make sure we have 417 00:21:20,280 --> 00:21:23,000 Speaker 9: the right supply and we don't struggle as much. But 418 00:21:23,480 --> 00:21:26,760 Speaker 9: the chip shortages are pretty real and I feel like, 419 00:21:28,640 --> 00:21:32,840 Speaker 9: you know, inference needs like a million times more compute 420 00:21:32,960 --> 00:21:38,880 Speaker 9: than like traditional computing, and so we would see more 421 00:21:38,880 --> 00:21:43,760 Speaker 9: and more demand for chips including CPUs, GPU's memory. 422 00:21:45,640 --> 00:21:47,399 Speaker 2: Nicola, it's been great speaking to you. 423 00:21:47,560 --> 00:21:49,760 Speaker 3: Thank you very much in the Deep Infra Ceo Nicola 424 00:21:49,920 --> 00:21:52,679 Speaker 3: for as of on the latest funding round coming out, 425 00:21:52,680 --> 00:21:56,480 Speaker 3: we've got more on funds being deployed in ALI adjacent areas, 426 00:21:56,680 --> 00:21:59,840 Speaker 3: particularly crypto. We're going to be speaking to Katie Horn 427 00:21:59,880 --> 00:22:01,879 Speaker 3: and a bit to talk about her new one billion 428 00:22:01,920 --> 00:22:04,159 Speaker 3: dollar fund and the state of the crypto market. But 429 00:22:04,320 --> 00:22:06,879 Speaker 3: let's also focus in on these markets more broadly. Right now, 430 00:22:07,000 --> 00:22:10,439 Speaker 3: Crypto had been outperforming, Tech had been out performing. Actually 431 00:22:10,480 --> 00:22:13,080 Speaker 3: we're starting to see a pullback. There is tension once again, 432 00:22:13,200 --> 00:22:15,959 Speaker 3: particularly with the UAE. The UAE is saying it's air 433 00:22:16,040 --> 00:22:19,160 Speaker 3: defense systems are currently responding to a missile threat. They're 434 00:22:19,200 --> 00:22:21,640 Speaker 3: posting on x about a third missile threat that they've 435 00:22:21,720 --> 00:22:24,560 Speaker 3: currently been facing. In particular, this is in response to 436 00:22:24,640 --> 00:22:27,320 Speaker 3: Iran geopolitics wants to gain in front and center as 437 00:22:27,359 --> 00:22:30,200 Speaker 3: all prices is extend their gains. Brent crude is to 438 00:22:30,240 --> 00:22:33,080 Speaker 3: see one hundred and fourteen dollars. That means risk sentiment 439 00:22:33,280 --> 00:22:35,600 Speaker 3: just turns sour and now's that one hundred now down 440 00:22:35,720 --> 00:22:36,480 Speaker 3: three tens percent. 441 00:22:36,520 --> 00:22:37,000 Speaker 2: We will higher. 442 00:22:37,040 --> 00:22:40,000 Speaker 3: At the start of this particular show, the semiconductor index 443 00:22:40,080 --> 00:22:42,520 Speaker 3: also off by eight tens percent off of its record high. 444 00:22:42,840 --> 00:22:44,399 Speaker 3: We're going to keep you up to speed what's happening 445 00:22:44,440 --> 00:22:47,159 Speaker 3: in the markets and in geopolitics. More broadly, this is 446 00:22:47,200 --> 00:22:57,720 Speaker 3: Bloomberg Tech. Welcome back to Bloomberg Tech. We look at 447 00:22:57,760 --> 00:23:00,600 Speaker 3: broader markets for a moment now because well we're back 448 00:23:00,640 --> 00:23:04,720 Speaker 3: in risk off sentiment amid rising geopolitical concerns regarding the 449 00:23:04,760 --> 00:23:06,720 Speaker 3: conflicts with Iran. We're currently off by two tenths of 450 00:23:06,760 --> 00:23:09,720 Speaker 3: percent on the nast like one hundred, flicking into negative territory. 451 00:23:09,720 --> 00:23:10,400 Speaker 2: We had been higher. 452 00:23:10,400 --> 00:23:12,840 Speaker 3: You're seeing the semiconductor index coming off of its record high. 453 00:23:13,119 --> 00:23:15,640 Speaker 3: Brent crude up to one hundred and thirteen one hundred 454 00:23:15,640 --> 00:23:16,480 Speaker 3: and fourteen. 455 00:23:16,200 --> 00:23:17,399 Speaker 2: Dollars, let's call it. 456 00:23:17,560 --> 00:23:21,159 Speaker 3: This is UAE is issuing missile warnings, rising tensions and 457 00:23:21,320 --> 00:23:25,080 Speaker 3: risking the US Iran. True, it's just coming our hours 458 00:23:25,119 --> 00:23:27,240 Speaker 3: after an oil tank grown by the UA State Old 459 00:23:27,280 --> 00:23:30,399 Speaker 3: Company was also struck by Iranian drones. So keep an 460 00:23:30,440 --> 00:23:32,480 Speaker 3: eye on what's happening with the bond market as that 461 00:23:32,560 --> 00:23:35,840 Speaker 3: anxiety builds and we see maybe inflation pressures coming from oil. 462 00:23:35,880 --> 00:23:38,800 Speaker 3: We see the thirty year eclipse five percent. Look, we 463 00:23:38,880 --> 00:23:40,679 Speaker 3: haven't seen this sort of level on the thirty year 464 00:23:40,720 --> 00:23:43,600 Speaker 3: bonds in terms of yields since July. You're seeing ten 465 00:23:43,680 --> 00:23:46,399 Speaker 3: year ramp high six basis points. Two year also up 466 00:23:46,520 --> 00:23:49,119 Speaker 3: seven basis points, let's call it. So we keep an 467 00:23:49,119 --> 00:23:51,360 Speaker 3: eye on the broader market. We also keep an eye 468 00:23:51,400 --> 00:23:54,600 Speaker 3: on risk sentiment just across this entire asset classes. And 469 00:23:54,920 --> 00:23:56,480 Speaker 3: we don't want to focus in on our big number 470 00:23:56,520 --> 00:23:59,399 Speaker 3: today to say two thousand dollars. Guess what managed to 471 00:23:59,440 --> 00:24:03,160 Speaker 3: touch it again Bitcoin for the first time since January. 472 00:24:03,560 --> 00:24:06,240 Speaker 2: It has seen some love as the tech trade has 473 00:24:06,359 --> 00:24:06,800 Speaker 2: powered on. 474 00:24:06,920 --> 00:24:08,800 Speaker 3: Higher in the previous week and we hit a record 475 00:24:08,880 --> 00:24:11,600 Speaker 3: high on Friday, and of course the sasset trades over 476 00:24:11,640 --> 00:24:13,840 Speaker 3: the weekend. I want to talk more about the crypto sector. 477 00:24:13,840 --> 00:24:15,920 Speaker 3: A blue mid cross hasset reporter is about Lee, fresh 478 00:24:16,040 --> 00:24:18,440 Speaker 3: back from an event in Vegas. What are the vibes 479 00:24:18,520 --> 00:24:19,240 Speaker 3: right now in crypto? 480 00:24:19,680 --> 00:24:24,200 Speaker 10: Honestly, very optimistic and enthusiastic, Like when I was there. 481 00:24:24,280 --> 00:24:26,880 Speaker 10: It was in Vegas, the Bitcoin conference from Monday to Wednesday. 482 00:24:27,760 --> 00:24:29,560 Speaker 10: Everyone was just so happy to be there. There were 483 00:24:29,640 --> 00:24:33,640 Speaker 10: orange suits, orange cowboy hats. See if TC Mike's Sea 484 00:24:33,680 --> 00:24:37,240 Speaker 10: lig is there. Paul Atkins of SEC was there that 485 00:24:37,320 --> 00:24:39,639 Speaker 10: we were wearing orange necktat Why why the. 486 00:24:39,680 --> 00:24:41,879 Speaker 3: Orange vibes is just the color the color of not 487 00:24:42,000 --> 00:24:43,280 Speaker 3: a Bloomberg terminal. 488 00:24:43,320 --> 00:24:45,680 Speaker 10: Unfortunately not It could be the orange is like the 489 00:24:45,760 --> 00:24:48,280 Speaker 10: unofficial color of bitcoin. And every booth had a big 490 00:24:48,359 --> 00:24:50,880 Speaker 10: B plastered on it, which is the symbol of bitcoin. 491 00:24:50,920 --> 00:24:52,520 Speaker 10: You could just feel the vibes in the air. Mic 492 00:24:52,600 --> 00:24:55,920 Speaker 10: Sailor again predicting ten million for bitcoin. Eric Trump dropped 493 00:24:55,920 --> 00:24:58,399 Speaker 10: by on a Wednesday saying one million for bitcoin, So 494 00:24:58,760 --> 00:25:01,399 Speaker 10: even if the daily price were fluctuations, weren't any more 495 00:25:01,560 --> 00:25:03,960 Speaker 10: focus there. The big one million goal is still in 496 00:25:04,040 --> 00:25:06,040 Speaker 10: the horizon, or ten million if you ask sailor. 497 00:25:06,520 --> 00:25:11,320 Speaker 3: But was any of this Bitcoin and men's look, what 498 00:25:11,440 --> 00:25:14,600 Speaker 3: we keep seeing is that there are other areas of excitement, 499 00:25:14,760 --> 00:25:18,000 Speaker 3: more infrastructure being built, more fought around where the world 500 00:25:18,040 --> 00:25:19,600 Speaker 3: of cryptocurrencies go, rather than. 501 00:25:19,520 --> 00:25:22,600 Speaker 10: The OG in the space definitely, so they were thinking 502 00:25:22,600 --> 00:25:24,480 Speaker 10: about bitcoin in the future of it. Of course, there 503 00:25:24,520 --> 00:25:26,359 Speaker 10: were a lot of talks about AI and how that 504 00:25:26,440 --> 00:25:28,879 Speaker 10: will affect bitcoin, especially when it comes to mining. And 505 00:25:29,119 --> 00:25:30,960 Speaker 10: I've talked to a couple of people who really still 506 00:25:31,040 --> 00:25:33,920 Speaker 10: insisted that bitcoin is different from other crypto assets because 507 00:25:33,960 --> 00:25:37,239 Speaker 10: bitcoin is bitcoin. It's the original, it's the largest, it's 508 00:25:37,280 --> 00:25:39,200 Speaker 10: the oldest, and others are pump and dump, you know, 509 00:25:39,320 --> 00:25:42,679 Speaker 10: others have smart contract that may vanish in a few minutes, 510 00:25:42,720 --> 00:25:44,960 Speaker 10: but then for them, Bitcoin is the OG. And I'm 511 00:25:45,000 --> 00:25:47,320 Speaker 10: sure now they were looking at eighty thousand two because 512 00:25:47,320 --> 00:25:50,200 Speaker 10: for a while the bitcoin price has been hovering between 513 00:25:50,240 --> 00:25:52,360 Speaker 10: that and not really hitting eighty thousand, So I'm sure 514 00:25:52,400 --> 00:25:53,880 Speaker 10: if the bitcoin conference was this week. 515 00:25:53,880 --> 00:25:56,120 Speaker 2: They would be happy. So they're enthusiasts around the store 516 00:25:56,160 --> 00:25:59,119 Speaker 2: of value mentality. All that war can be done with 517 00:25:59,359 --> 00:26:02,240 Speaker 2: crypto free. More generally, it's still the store of value mentality. 518 00:26:02,240 --> 00:26:04,159 Speaker 10: Although I did talk to some people roaming around the 519 00:26:04,200 --> 00:26:06,880 Speaker 10: first time attendee said that what's next after this one? 520 00:26:06,960 --> 00:26:09,000 Speaker 10: Because what else could bring this price higher? I mean, 521 00:26:09,040 --> 00:26:11,880 Speaker 10: it's already so institutionalized. I also talked to Adam Back, 522 00:26:11,920 --> 00:26:15,200 Speaker 10: who is not Satoci. According to him, he did say 523 00:26:15,240 --> 00:26:17,280 Speaker 10: again he's not Satoshi, and I asked him, how do 524 00:26:17,359 --> 00:26:21,240 Speaker 10: you feel, because the institutionalization of bitcoin kind of goes 525 00:26:21,280 --> 00:26:24,000 Speaker 10: against the ethos of bitcoin, But he was like, no, actually, 526 00:26:24,440 --> 00:26:25,639 Speaker 10: it's more access for everyone. 527 00:26:25,720 --> 00:26:27,320 Speaker 2: And he said when people say that. 528 00:26:27,880 --> 00:26:30,920 Speaker 10: Black Crocker Strategy are the biggest holders of bitcoin, he said, 529 00:26:30,920 --> 00:26:33,199 Speaker 10: they're really just the custodians in his eyes, but it's 530 00:26:33,200 --> 00:26:35,359 Speaker 10: still the people who owns it. So really lots of 531 00:26:35,440 --> 00:26:38,639 Speaker 10: interesting characters. It was an electric kind of conference. It 532 00:26:38,720 --> 00:26:41,280 Speaker 10: was really good vibes all around. If you're a skeptic, 533 00:26:41,320 --> 00:26:43,439 Speaker 10: I think you'd doubt it. At least if you're. 534 00:26:43,320 --> 00:26:45,600 Speaker 2: There, you're not wearing orange. I know is a BALLEI. 535 00:26:45,800 --> 00:26:47,199 Speaker 3: It's great to have her on the show on All 536 00:26:47,200 --> 00:26:49,520 Speaker 3: Things Crypto. Look, I'm very pleased to say we can 537 00:26:49,560 --> 00:26:51,200 Speaker 3: bring in someone who knows a thing or two about 538 00:26:51,240 --> 00:26:51,959 Speaker 3: the world of crypto. 539 00:26:52,400 --> 00:26:53,320 Speaker 2: Katie Hornss. 540 00:26:53,359 --> 00:26:56,000 Speaker 3: He's made her name investing in digital assets and crypto startups. 541 00:26:56,200 --> 00:26:58,879 Speaker 3: Her firm Horn Ventures has just closed a one billion 542 00:26:58,920 --> 00:26:59,400 Speaker 3: dollar fund. 543 00:26:59,520 --> 00:27:00,840 Speaker 2: You've no mutable exits. 544 00:27:00,920 --> 00:27:04,119 Speaker 3: I think a BBNK you're required by mastercart another startup 545 00:27:04,160 --> 00:27:06,080 Speaker 3: that you backed early on Bridge has been brought by 546 00:27:06,160 --> 00:27:09,000 Speaker 3: Stripe Katie, Is this what it's about? Is it about 547 00:27:09,320 --> 00:27:11,960 Speaker 3: finding the startups that are likely to just drive this 548 00:27:12,040 --> 00:27:12,960 Speaker 3: ecosystem forward. 549 00:27:14,400 --> 00:27:16,080 Speaker 11: Good morning, Caroline, Thanks for having me. 550 00:27:17,359 --> 00:27:19,680 Speaker 12: Yeah, the world's a very different place than it was 551 00:27:19,760 --> 00:27:22,320 Speaker 12: four years ago when we raised our first pair of funds, 552 00:27:23,160 --> 00:27:25,800 Speaker 12: and we're really excited now to have a billion dollars 553 00:27:25,840 --> 00:27:28,359 Speaker 12: in fresh capital across a pair of funds to back 554 00:27:28,800 --> 00:27:31,960 Speaker 12: founders in what we say are building the new economy. 555 00:27:32,080 --> 00:27:35,840 Speaker 12: And the new economy is we think there's an intersection 556 00:27:36,080 --> 00:27:39,840 Speaker 12: really between AI and between digital assets. We're calling it 557 00:27:39,920 --> 00:27:43,639 Speaker 12: an agentic future. That's one structural shift we've seen. Another 558 00:27:43,760 --> 00:27:46,880 Speaker 12: structural shift we've seen is the creation of new assets, 559 00:27:47,000 --> 00:27:48,560 Speaker 12: things like stable coin. 560 00:27:50,119 --> 00:27:52,400 Speaker 3: That has been an area that clearly you saw coming 561 00:27:52,440 --> 00:27:55,240 Speaker 3: you lean into and a stable coin ability. 562 00:27:55,320 --> 00:27:57,200 Speaker 2: I think we just had a few tech issues with Katie. 563 00:27:57,200 --> 00:27:58,679 Speaker 2: We'll get back to you in a minute. There we are. 564 00:27:58,960 --> 00:28:02,480 Speaker 3: I think the stable coin area has been something that 565 00:28:02,640 --> 00:28:05,440 Speaker 3: clearly you've seen work with M and A and portfolio 566 00:28:05,520 --> 00:28:09,639 Speaker 3: companies being bought by really institutional adopters who are now 567 00:28:09,760 --> 00:28:11,920 Speaker 3: trying to embrace I think of the likes of masscard, 568 00:28:11,960 --> 00:28:14,840 Speaker 3: for example. But what's happening in terms of the AI 569 00:28:14,920 --> 00:28:18,080 Speaker 3: adjacency for those who've been hidden away from How crypto 570 00:28:18,280 --> 00:28:20,840 Speaker 3: is now thinking of itself as a future of AI agents. 571 00:28:21,000 --> 00:28:21,800 Speaker 2: How does that work? 572 00:28:22,720 --> 00:28:25,640 Speaker 12: Well, if you think about a world where financial products 573 00:28:25,680 --> 00:28:28,520 Speaker 12: and services are really being built for an end user 574 00:28:28,840 --> 00:28:31,840 Speaker 12: that's not necessarily a human but might also soon be 575 00:28:31,920 --> 00:28:34,400 Speaker 12: an agent or a computer, that's a really different world. 576 00:28:34,480 --> 00:28:36,719 Speaker 12: I mean, if you think about agents, what are one 577 00:28:36,800 --> 00:28:37,600 Speaker 12: thing we humans do? 578 00:28:37,760 --> 00:28:38,240 Speaker 11: We stop. 579 00:28:38,320 --> 00:28:40,280 Speaker 12: We have a finite period of time that we work 580 00:28:40,400 --> 00:28:42,960 Speaker 12: during the day, So we might be okay with a 581 00:28:43,040 --> 00:28:45,160 Speaker 12: bank that's closed on a weekend or that has a 582 00:28:45,240 --> 00:28:49,240 Speaker 12: wire cutoff or deadline or bankers hours. But of course 583 00:28:49,320 --> 00:28:53,200 Speaker 12: AI agents are powered twenty four to seven. They are globally. 584 00:28:53,400 --> 00:28:55,880 Speaker 12: They work globally from day one, and they're always on 585 00:28:56,120 --> 00:28:58,520 Speaker 12: and so I think that there's a lot of opportunity 586 00:28:58,640 --> 00:29:01,800 Speaker 12: there in what we're calling the finance sector. But you 587 00:29:01,880 --> 00:29:04,960 Speaker 12: also mentioned Caroline stable coins, and I think that's another 588 00:29:05,120 --> 00:29:08,320 Speaker 12: area where we've seen the digital asset space grow, and. 589 00:29:08,360 --> 00:29:10,040 Speaker 11: We're seeing it grow ever more. 590 00:29:10,120 --> 00:29:13,680 Speaker 12: Of course, now we're at a point where stable coins 591 00:29:13,720 --> 00:29:16,280 Speaker 12: and you mentioned BV and K, which just exited to 592 00:29:16,400 --> 00:29:18,480 Speaker 12: MasterCard for one point eight billion dollars. 593 00:29:18,520 --> 00:29:20,280 Speaker 11: By the way, that was Mastercard's third. 594 00:29:20,200 --> 00:29:24,720 Speaker 12: Largest ever acquisition, and I think it's reflective of that 595 00:29:24,880 --> 00:29:27,920 Speaker 12: you now have double digit trillion dollars in stable coins, 596 00:29:28,000 --> 00:29:30,000 Speaker 12: and this is an innovation that didn't even exist a 597 00:29:30,080 --> 00:29:33,480 Speaker 12: decade ago. And if you can tokenize a dollar, it 598 00:29:33,560 --> 00:29:35,720 Speaker 12: turns out you can tokenize other things. So we see 599 00:29:36,000 --> 00:29:40,280 Speaker 12: institutional players like black Rock and fintech giants like Robinhood 600 00:29:40,320 --> 00:29:44,000 Speaker 12: and coinbase start to tokenize stocks, and it turns out 601 00:29:44,040 --> 00:29:46,800 Speaker 12: you can tokenize all kinds of other products and services. 602 00:29:47,560 --> 00:29:51,760 Speaker 3: For that to really be adopted is of course a 603 00:29:51,920 --> 00:29:54,880 Speaker 3: future where the regulatory environment has been far more warm, 604 00:29:55,000 --> 00:29:57,840 Speaker 3: shall we say, towards crypto and these innovations and that's 605 00:29:57,880 --> 00:30:00,360 Speaker 3: where you sit at this intersection, Katie. That's I mean 606 00:30:00,400 --> 00:30:03,680 Speaker 3: bron Elmstrong himself, someone that you've helped oversee the company 607 00:30:03,760 --> 00:30:06,880 Speaker 3: of of coinbase before a sixteen Z. What was so 608 00:30:06,960 --> 00:30:09,080 Speaker 3: interesting about you is also you sat on the DOJ 609 00:30:09,280 --> 00:30:12,040 Speaker 3: side of things. You understand government, You can talk to 610 00:30:12,160 --> 00:30:13,760 Speaker 3: both sides of the community. 611 00:30:14,160 --> 00:30:15,920 Speaker 2: What is the regulatory environment like right now? 612 00:30:16,520 --> 00:30:19,240 Speaker 12: Yeah, Look, I've been following the flow of assets my 613 00:30:19,440 --> 00:30:22,840 Speaker 12: entire career. I started as I started my career actually 614 00:30:22,880 --> 00:30:25,320 Speaker 12: at the Supreme Court as a law clerk to Justice Kennedy, 615 00:30:25,760 --> 00:30:28,720 Speaker 12: and then spent over a decade at the Justice Department. 616 00:30:29,280 --> 00:30:30,880 Speaker 12: And what I can tell you is this is one 617 00:30:30,920 --> 00:30:34,120 Speaker 12: of the most transformational periods in technology and finance that 618 00:30:34,160 --> 00:30:37,000 Speaker 12: I've really ever witnessed. You mentioned regulatory Caroline, and I 619 00:30:37,040 --> 00:30:39,520 Speaker 12: think that's a part of it, but also the infrastructure 620 00:30:39,600 --> 00:30:41,240 Speaker 12: is a part of it. And let's also be honest, 621 00:30:41,280 --> 00:30:44,160 Speaker 12: the institutional story is a part of it. As far 622 00:30:44,200 --> 00:30:47,880 Speaker 12: as regulatory environment, I think people often also overlook what 623 00:30:48,000 --> 00:30:50,560 Speaker 12: the courts have been involved in the regulatory and shaping 624 00:30:50,640 --> 00:30:54,000 Speaker 12: the regulatory environment. And this has been happening kind of 625 00:30:54,040 --> 00:30:56,960 Speaker 12: in the background over the last several years. Now we 626 00:30:57,120 --> 00:31:00,400 Speaker 12: have something coming up, which is the Crypto Markets Structure Bill, 627 00:31:00,680 --> 00:31:02,160 Speaker 12: and so everyone's eyes are on that. 628 00:31:02,360 --> 00:31:04,800 Speaker 11: And of course we had the Genius Act pass last year. 629 00:31:05,600 --> 00:31:09,680 Speaker 3: There are still lawmakers anny convincing Okatie. I think of 630 00:31:09,960 --> 00:31:13,080 Speaker 3: Elizabeth Warren, who's worried about perhaps one of your new 631 00:31:13,240 --> 00:31:17,160 Speaker 3: and really well many would say, the exciting startup that 632 00:31:17,280 --> 00:31:19,680 Speaker 3: has been co founded by Palmer Lucky. Now you're in 633 00:31:20,080 --> 00:31:22,280 Speaker 3: a company that is Airbor, which is all about I 634 00:31:22,360 --> 00:31:23,840 Speaker 3: think I'm pronouncing it correctly right. 635 00:31:24,120 --> 00:31:24,760 Speaker 11: Arabar is. 636 00:31:25,040 --> 00:31:26,880 Speaker 2: Airbor is this new sort of bank. 637 00:31:26,920 --> 00:31:29,520 Speaker 3: It's just had occ sign off that it's able to 638 00:31:29,600 --> 00:31:31,480 Speaker 3: go out there, and after it gone an application and 639 00:31:31,560 --> 00:31:35,040 Speaker 3: granted a preliminary application at least for approval to become 640 00:31:35,080 --> 00:31:37,840 Speaker 3: a bank. But Elizabeth Warren is like, that's happened all 641 00:31:37,880 --> 00:31:39,480 Speaker 3: too fast, and it seems to be that they're close 642 00:31:39,480 --> 00:31:42,880 Speaker 3: to the administration. How do you get comfortable that these 643 00:31:43,080 --> 00:31:45,280 Speaker 3: companies are being vetted in the way that you want 644 00:31:45,320 --> 00:31:46,160 Speaker 3: to see them being vetted? 645 00:31:46,640 --> 00:31:49,280 Speaker 12: Sure, well, we always look at the founding team. Whenever 646 00:31:49,400 --> 00:31:51,920 Speaker 12: we're looking for an opportunity to make an investment, we 647 00:31:52,000 --> 00:31:54,720 Speaker 12: look at the founding team. And you've alluded to part 648 00:31:54,760 --> 00:31:56,680 Speaker 12: of the founding team here. So we think this founding 649 00:31:56,760 --> 00:32:00,720 Speaker 12: team of Airbor is incredibly strong. And actually the Palmer 650 00:32:00,800 --> 00:32:03,960 Speaker 12: Lucky's co founder is a founder that we had backed 651 00:32:04,040 --> 00:32:06,280 Speaker 12: in our first fund, so we have a long history 652 00:32:06,400 --> 00:32:08,880 Speaker 12: going back with him and have seen him over the years, 653 00:32:09,360 --> 00:32:11,840 Speaker 12: and we are actually the second largest investor, I believe 654 00:32:11,840 --> 00:32:14,840 Speaker 12: at this point in Arabor, And I think the exciting 655 00:32:14,920 --> 00:32:18,640 Speaker 12: thing about Arabor so it's also the product market fit 656 00:32:18,960 --> 00:32:21,640 Speaker 12: and they just crossed a billion dollars in deposits, and 657 00:32:21,720 --> 00:32:23,960 Speaker 12: it's also the size of the opportunity and that's where 658 00:32:23,960 --> 00:32:26,520 Speaker 12: I think Airbor and companies like it really shine. 659 00:32:26,880 --> 00:32:30,000 Speaker 11: I mean, it's really built for the future. 660 00:32:30,120 --> 00:32:33,360 Speaker 12: And if you think about it, it opened on a Sunday, Caroline, 661 00:32:33,680 --> 00:32:35,680 Speaker 12: and I think, who's ever heard of a bank opening 662 00:32:35,720 --> 00:32:38,360 Speaker 12: on a Sunday? Now, I think that for the digitally 663 00:32:38,480 --> 00:32:43,560 Speaker 12: native generations, and certainly for the AI native generations, whire 664 00:32:43,760 --> 00:32:45,480 Speaker 12: cutoffs are going to be a thing of the past. 665 00:32:45,520 --> 00:32:46,840 Speaker 12: It will be kind of like when you see a 666 00:32:47,000 --> 00:32:49,560 Speaker 12: payphone booth on the corner and you're like, what is 667 00:32:49,640 --> 00:32:51,760 Speaker 12: that for in a world where everyone's now on their 668 00:32:51,800 --> 00:32:52,320 Speaker 12: cell phones. 669 00:32:53,720 --> 00:32:56,800 Speaker 3: Very briefly, Katie, you've already had success with exits on 670 00:32:56,800 --> 00:32:58,640 Speaker 3: the M and a side of things you personally have 671 00:32:58,840 --> 00:33:01,240 Speaker 3: vetted in some investment. Some of the most exciting companies 672 00:33:01,240 --> 00:33:04,440 Speaker 3: were anticipating IPOs from SpaceX. I know they were in Andreil, 673 00:33:04,480 --> 00:33:07,800 Speaker 3: another parmoniaking business. You're an open AI. Is the market 674 00:33:07,880 --> 00:33:08,880 Speaker 3: feeling solid right now? 675 00:33:10,120 --> 00:33:10,280 Speaker 13: You know? 676 00:33:10,480 --> 00:33:13,280 Speaker 12: I think right now what we're seeing is we're seeing 677 00:33:13,320 --> 00:33:17,680 Speaker 12: a period of transformation and tremendous opportunity. And I think 678 00:33:17,760 --> 00:33:22,040 Speaker 12: this is something I've been alongside the unfolding of transformational 679 00:33:22,120 --> 00:33:23,640 Speaker 12: technology my entire career. 680 00:33:23,960 --> 00:33:25,840 Speaker 11: And there will be ups and there will be downs. 681 00:33:25,880 --> 00:33:28,280 Speaker 12: And one thing I've noticed is that there are periods 682 00:33:28,280 --> 00:33:30,360 Speaker 12: of irrationality on the way up, and there are periods 683 00:33:30,360 --> 00:33:31,240 Speaker 12: of irrationality on. 684 00:33:31,280 --> 00:33:31,720 Speaker 11: The way down. 685 00:33:31,800 --> 00:33:35,240 Speaker 12: And our job is long term venture investors who are investing, 686 00:33:35,280 --> 00:33:38,720 Speaker 12: by the way, Caroline over a ten year decade. Although 687 00:33:38,760 --> 00:33:42,000 Speaker 12: your colleague Natasha reported that we had already returned capital 688 00:33:42,040 --> 00:33:42,640 Speaker 12: four years. 689 00:33:42,480 --> 00:33:44,880 Speaker 11: In to some of our LPs around the world from 690 00:33:44,920 --> 00:33:46,240 Speaker 11: our first pair of funds. 691 00:33:46,840 --> 00:33:49,200 Speaker 12: We're looking at what the world looks like in ten years, 692 00:33:49,440 --> 00:33:51,840 Speaker 12: not what it looks like right now. And we think 693 00:33:52,960 --> 00:33:57,360 Speaker 12: at bottom, it's a period of tremendous opportunity, generational opportunity. 694 00:33:57,720 --> 00:34:00,280 Speaker 3: Natasha and Mascaronis did that great story well, talking about 695 00:34:00,280 --> 00:34:03,400 Speaker 3: how you were able to lean into dislocations in the 696 00:34:03,480 --> 00:34:06,360 Speaker 3: market and beaten up areas of crypto. More broadly, to 697 00:34:06,400 --> 00:34:09,040 Speaker 3: return those funds. To LP's Kato Hahn, it's great to 698 00:34:09,120 --> 00:34:11,080 Speaker 3: hear about the new rais the CEO and founder of 699 00:34:11,120 --> 00:34:14,080 Speaker 3: harn Venture's congratulations on the latest one billion that has 700 00:34:14,120 --> 00:34:16,200 Speaker 3: been putting to work in two funds. Meanwhile, coming up, 701 00:34:16,520 --> 00:34:19,880 Speaker 3: we're going to be live from Milkin Institute Global Conference 702 00:34:20,080 --> 00:34:22,200 Speaker 3: to speak the Scott Turner, his US Secretary of Housing 703 00:34:22,239 --> 00:34:22,960 Speaker 3: and Urban Development. 704 00:34:23,239 --> 00:34:24,200 Speaker 2: This is blue bed Tech. 705 00:34:35,320 --> 00:34:37,600 Speaker 3: And hear earnings they're out after the market cloth is 706 00:34:37,640 --> 00:34:40,799 Speaker 3: later today. So far today shares in the AI firm 707 00:34:40,960 --> 00:34:43,120 Speaker 3: is up one and a half percent, outperforming the rest 708 00:34:43,160 --> 00:34:45,360 Speaker 3: of the market. But they haven't outperformed the rest of 709 00:34:45,400 --> 00:34:48,560 Speaker 3: the market since they peaked back at the end of October, 710 00:34:48,840 --> 00:34:51,560 Speaker 3: losing a significant amount of market capitalization as they got 711 00:34:51,640 --> 00:34:53,400 Speaker 3: caught up in perhaps the software. 712 00:34:53,040 --> 00:34:55,400 Speaker 2: Anxiety and sell off. Is that right that it is? 713 00:34:55,560 --> 00:34:57,800 Speaker 3: Let's talk about what to expect the Bloombergs Lazette Chapman 714 00:34:58,280 --> 00:35:01,400 Speaker 3: fundamentals first, know, there's far works when it comes to 715 00:35:01,440 --> 00:35:03,160 Speaker 3: Doctor carp is that but what are we expecting in 716 00:35:03,239 --> 00:35:04,280 Speaker 3: terms of growth of the business? 717 00:35:05,320 --> 00:35:10,800 Speaker 14: Right well, Endless are expecting another massive quarter of a 718 00:35:10,880 --> 00:35:15,040 Speaker 14: lot of growth, seventy four percent revenue spike, a doubling 719 00:35:15,080 --> 00:35:18,839 Speaker 14: of profits from the same period last year they've been. 720 00:35:19,200 --> 00:35:22,719 Speaker 14: This is pretty consistent with past quarterly growth that they've 721 00:35:22,719 --> 00:35:26,440 Speaker 14: been that they continually set the bar high and ask 722 00:35:26,560 --> 00:35:31,640 Speaker 14: Palenteers to deliver. There's you know, a history of Palenteer 723 00:35:31,719 --> 00:35:36,319 Speaker 14: meeting or beating those expectations. So well, uh, that's that's 724 00:35:36,360 --> 00:35:37,680 Speaker 14: what a lot of people are looking for. That's what 725 00:35:37,960 --> 00:35:39,680 Speaker 14: some of the betting markets are looking at as well 726 00:35:39,719 --> 00:35:40,160 Speaker 14: this morning. 727 00:35:40,520 --> 00:35:40,640 Speaker 11: Ah. 728 00:35:40,719 --> 00:35:42,480 Speaker 3: I like that you're fielding in some of the vetting 729 00:35:42,600 --> 00:35:46,520 Speaker 3: or at least different ways of predicting which way the 730 00:35:46,600 --> 00:35:48,239 Speaker 3: market's going to go. And is that the market if 731 00:35:48,280 --> 00:35:50,480 Speaker 3: you're looking at analysts, think that the price target is 732 00:35:50,560 --> 00:35:52,160 Speaker 3: much higher than where we currently trade. 733 00:35:52,680 --> 00:35:55,600 Speaker 2: So is there sort of a vibe shift that we 734 00:35:55,640 --> 00:35:56,640 Speaker 2: can get from Doctor Corp. 735 00:35:56,680 --> 00:35:58,840 Speaker 3: As well as clearly the growth that they continue to 736 00:35:58,920 --> 00:36:00,560 Speaker 3: deliver from the bottom line on top. 737 00:36:01,680 --> 00:36:06,400 Speaker 14: Right, He will definitely be speaking with analysts today. Typically 738 00:36:06,760 --> 00:36:09,719 Speaker 14: issues some type of shareholder letter as well, where he 739 00:36:10,160 --> 00:36:13,440 Speaker 14: outlines everything that you just kind of alluded to with 740 00:36:13,520 --> 00:36:17,239 Speaker 14: the Vibe shift, trying to distance Palenteer from the other 741 00:36:17,560 --> 00:36:21,400 Speaker 14: AI software stocks and also to position it. 742 00:36:21,920 --> 00:36:25,880 Speaker 13: As a type of company that is. 743 00:36:25,960 --> 00:36:32,279 Speaker 14: Going to support US policy no matter how controversial or 744 00:36:32,840 --> 00:36:35,719 Speaker 14: or difficult. And there's also a lot of focus right 745 00:36:35,760 --> 00:36:40,360 Speaker 14: now on what they've done to UH support efforts in 746 00:36:40,719 --> 00:36:45,520 Speaker 14: UH you know, Iran, also in Israel and with you know, 747 00:36:45,800 --> 00:36:47,920 Speaker 14: US Department of War as well as many of our allies, 748 00:36:48,200 --> 00:36:49,960 Speaker 14: So there's going to be a big focus on He 749 00:36:50,200 --> 00:36:54,000 Speaker 14: usually speaks to that topic as well, and that's what 750 00:36:54,120 --> 00:36:56,239 Speaker 14: many will be looking for for him to continue with 751 00:36:56,280 --> 00:36:56,960 Speaker 14: that vibe. 752 00:36:56,880 --> 00:36:59,239 Speaker 3: Blue meg Intelligence analyst man I'm seeing is talking about 753 00:36:59,239 --> 00:37:01,600 Speaker 3: the government segment and how it continues to benefit from 754 00:37:01,600 --> 00:37:04,960 Speaker 3: the company's exposure to these increased US defense spending on 755 00:37:05,520 --> 00:37:08,840 Speaker 3: products such as maven amid the war in Iran, But 756 00:37:08,960 --> 00:37:12,280 Speaker 3: the commercial side that really has been an area of growth. 757 00:37:12,320 --> 00:37:15,319 Speaker 3: Are we expecting what's expecting to see that pick up, 758 00:37:15,440 --> 00:37:18,040 Speaker 3: and particularly if it's just US bound or whether we 759 00:37:18,080 --> 00:37:19,400 Speaker 3: see more international adoption. 760 00:37:20,320 --> 00:37:22,160 Speaker 14: That's a great question, and I think that's something that 761 00:37:22,239 --> 00:37:23,759 Speaker 14: a lot of people are going to be looking at 762 00:37:24,000 --> 00:37:27,360 Speaker 14: if they've been able to drive it internationally. US commercial 763 00:37:27,400 --> 00:37:31,840 Speaker 14: growth has been on a blockbuster tear for you know, 764 00:37:31,960 --> 00:37:35,640 Speaker 14: at least the last year plus since they introduced AI AIP, 765 00:37:36,600 --> 00:37:39,320 Speaker 14: and so they're looking at growth rates for you know, 766 00:37:40,000 --> 00:37:42,279 Speaker 14: about you know, in the ninety percent or so for 767 00:37:42,400 --> 00:37:45,120 Speaker 14: commercial growth, and for the government growth they're looking around 768 00:37:45,160 --> 00:37:48,720 Speaker 14: fifty nine percent. Again, government is about half of the revenue, 769 00:37:49,000 --> 00:37:51,760 Speaker 14: it's about half and half, and slowly commercial is starting 770 00:37:51,840 --> 00:37:54,440 Speaker 14: to you know, build up. They haven't been in this 771 00:37:54,560 --> 00:37:58,759 Speaker 14: commercial is they haven't been in commercial as long or 772 00:37:58,760 --> 00:38:01,399 Speaker 14: as strong as government. That's an area that a lot 773 00:38:01,480 --> 00:38:04,520 Speaker 14: will be looking at, specifically here in the US, whether 774 00:38:04,560 --> 00:38:06,239 Speaker 14: they can gain traction abroad as well. 775 00:38:06,719 --> 00:38:11,359 Speaker 3: And then there's the man, the myth that some would 776 00:38:11,360 --> 00:38:13,920 Speaker 3: say the legend himself, Dot Carp, the way he speaks 777 00:38:14,000 --> 00:38:18,279 Speaker 3: to his own loyalists when it comes to shareholders, he's 778 00:38:18,320 --> 00:38:21,560 Speaker 3: often quite rude to the analyst community. And then we'll 779 00:38:21,600 --> 00:38:24,440 Speaker 3: street more broadly, but he's had some thoughtful insight as 780 00:38:24,480 --> 00:38:27,160 Speaker 3: to the future of the workforce and where humanities takes 781 00:38:27,239 --> 00:38:29,640 Speaker 3: us in terms of an area of study, of expecting 782 00:38:29,680 --> 00:38:33,080 Speaker 3: any sort of philosophical perspective coming today, I. 783 00:38:33,200 --> 00:38:36,000 Speaker 13: Think that that would be a pretty good guess that 784 00:38:36,040 --> 00:38:36,879 Speaker 13: would land well. 785 00:38:37,520 --> 00:38:41,560 Speaker 14: He and CTO Sham Sankar have been on this quest, 786 00:38:41,640 --> 00:38:44,920 Speaker 14: as you say, to kind of you know, mobilize the 787 00:38:45,560 --> 00:38:49,320 Speaker 14: you know, not just the software and the bits, but 788 00:38:49,840 --> 00:38:51,560 Speaker 14: or not not just the bites but also the bits, 789 00:38:51,600 --> 00:38:56,080 Speaker 14: and so you know, they are both looking for, you know, 790 00:38:56,200 --> 00:38:58,719 Speaker 14: to kind of establish that and kind of continue that 791 00:38:58,880 --> 00:39:02,920 Speaker 14: narrative that now only Alex Carr wrote about in Technological Republic, 792 00:39:02,960 --> 00:39:05,239 Speaker 14: but you know, Seam wrote about in his new book 793 00:39:05,280 --> 00:39:09,960 Speaker 14: about mobilizing the techno industrial workforce and reshoring a lot 794 00:39:10,000 --> 00:39:13,120 Speaker 14: of the industrial and manufacturing capacities that are you know, 795 00:39:13,320 --> 00:39:16,520 Speaker 14: traditionally been abroad that they're looking to bring back on 796 00:39:16,640 --> 00:39:19,160 Speaker 14: shore here in the United States. They had a commercial 797 00:39:19,920 --> 00:39:24,000 Speaker 14: software wind recently with Cleveland Cliffs to use their AI 798 00:39:24,160 --> 00:39:26,600 Speaker 14: software to assist with the steelmaking capacity. 799 00:39:26,719 --> 00:39:28,839 Speaker 13: So it's it's a pretty good bet. 800 00:39:29,000 --> 00:39:31,000 Speaker 14: Like you said, Carolyn, you've been watching these for these 801 00:39:31,040 --> 00:39:33,359 Speaker 14: earnings for a long time as well, that he will 802 00:39:33,400 --> 00:39:36,879 Speaker 14: continue with that and talk really more about the big 803 00:39:37,640 --> 00:39:39,320 Speaker 14: changes to American society. 804 00:39:39,360 --> 00:39:43,320 Speaker 13: Writ large that Palenteer and its software is looking to enforce. 805 00:39:43,320 --> 00:39:45,319 Speaker 3: Well We're lucky to have you watching them for us tonight. 806 00:39:45,320 --> 00:39:48,719 Speaker 3: Blim Boz, Lazette, Chapman, thank you very much. Indeed, coming up, 807 00:39:48,880 --> 00:39:51,120 Speaker 3: we're largely the Milk and Institute Global Conference. We're gonna 808 00:39:51,120 --> 00:39:52,920 Speaker 3: be speaking with Scott Turner. He's the US Secretary of 809 00:39:53,000 --> 00:40:00,239 Speaker 3: Housing and Urban Development. This is Blue Meg Tech head 810 00:40:00,239 --> 00:40:02,439 Speaker 3: out to the Milkan Institute. Balance of Power. Co host 811 00:40:02,520 --> 00:40:04,160 Speaker 3: Joe Matthew standing by with a. 812 00:40:04,160 --> 00:40:05,280 Speaker 2: Special guest, Joe. 813 00:40:07,640 --> 00:40:08,280 Speaker 15: That Caroline. 814 00:40:08,320 --> 00:40:08,560 Speaker 16: Thank you. 815 00:40:08,760 --> 00:40:13,200 Speaker 15: The Secretary of Housing and Urban Developments is with me 816 00:40:13,320 --> 00:40:16,400 Speaker 15: right now, live in Los Angeles at the Milkan Global Conference. 817 00:40:16,560 --> 00:40:18,880 Speaker 15: Secretary Turner, it's great to see you. Welcome to lumber. 818 00:40:19,160 --> 00:40:19,400 Speaker 8: Thank you. 819 00:40:20,160 --> 00:40:22,480 Speaker 15: Questions about the housing market on this day that the 820 00:40:22,520 --> 00:40:25,600 Speaker 15: thirty year treasury tops five percent, This is a big 821 00:40:25,640 --> 00:40:27,320 Speaker 15: deal for our audience. It's a big deal for a 822 00:40:27,360 --> 00:40:29,560 Speaker 15: homeowner or anyone looking to buy a home. How much 823 00:40:29,960 --> 00:40:32,520 Speaker 15: will interest rates be a challenge to what you're trying 824 00:40:32,560 --> 00:40:34,759 Speaker 15: to do in increasing access to affordable housing? 825 00:40:34,840 --> 00:40:36,160 Speaker 16: Well, thank you so much. You know, I think you 826 00:40:36,320 --> 00:40:38,440 Speaker 16: see you know the President Trump is layers of focus 827 00:40:38,520 --> 00:40:42,000 Speaker 16: on house and affordability. He's focused on keeping our country safe, 828 00:40:42,080 --> 00:40:44,400 Speaker 16: you know from a regime having a nuclear weapon, but 829 00:40:44,480 --> 00:40:47,440 Speaker 16: also layers of focus here domestically to make sure that 830 00:40:47,520 --> 00:40:50,239 Speaker 16: the Americans can achieve their American dream. And so as 831 00:40:50,280 --> 00:40:53,040 Speaker 16: we see the fluctuation and interest rates, we're also you know, 832 00:40:53,120 --> 00:40:55,719 Speaker 16: looking at the regulatory environment to bring down burn some 833 00:40:55,880 --> 00:40:58,920 Speaker 16: regulations to make it easier for builders to build and 834 00:40:59,000 --> 00:41:01,640 Speaker 16: for buyers to buy. So I'm grateful for the President's leadership, 835 00:41:01,680 --> 00:41:04,759 Speaker 16: and at HUD we're following that and encouraging localities to 836 00:41:04,840 --> 00:41:05,239 Speaker 16: do the same. 837 00:41:05,400 --> 00:41:08,840 Speaker 15: You were pointing specifically to your recision of the i 838 00:41:09,520 --> 00:41:14,360 Speaker 15: e C and Energy Efficiency requirement that the Biden administration 839 00:41:14,480 --> 00:41:17,240 Speaker 15: put in place that you say added over thirty thousand 840 00:41:17,280 --> 00:41:18,839 Speaker 15: dollars to building a home. 841 00:41:18,920 --> 00:41:21,279 Speaker 16: Yes, sir, so this is the final determination for twenty 842 00:41:21,360 --> 00:41:24,920 Speaker 16: twenty four during the Biden administration. Really it's the International 843 00:41:25,120 --> 00:41:28,040 Speaker 16: Energy Conservation Code and it added up to thirty thousand 844 00:41:28,080 --> 00:41:32,000 Speaker 16: dollars per project when builders are already building to these 845 00:41:32,200 --> 00:41:34,279 Speaker 16: energy code and so we were scinded that to make 846 00:41:34,320 --> 00:41:36,800 Speaker 16: it easier for builders to build, which will make it 847 00:41:36,920 --> 00:41:39,400 Speaker 16: better for buyers to buy. On top of that, you know, 848 00:41:39,520 --> 00:41:43,800 Speaker 16: one hundred thousand dollars and regulation and regulatory fees is 849 00:41:43,880 --> 00:41:46,080 Speaker 16: added to the final price of a single family home 850 00:41:46,160 --> 00:41:48,640 Speaker 16: that's not sustainable in our country. So we've been very 851 00:41:48,719 --> 00:41:51,880 Speaker 16: focused on bringing down the regulatory environment, making it easier 852 00:41:51,960 --> 00:41:54,680 Speaker 16: for builders to build, better for buyers to buy, and 853 00:41:54,840 --> 00:41:56,160 Speaker 16: raising a supply in our country. 854 00:41:56,239 --> 00:41:59,080 Speaker 15: We're having a big conversation in America right now about affordability. 855 00:41:59,120 --> 00:42:00,640 Speaker 15: We talk about it on the air all day, whether 856 00:42:00,680 --> 00:42:03,160 Speaker 15: it's four dollars a gallon gas, although where we are 857 00:42:03,320 --> 00:42:06,960 Speaker 15: you've probably seen, mister Secretary, it's above six dollars in California, 858 00:42:07,000 --> 00:42:09,759 Speaker 15: which is pretty wild. But the cost of everything from 859 00:42:09,840 --> 00:42:14,640 Speaker 15: food it's a gas is an issue for Americans, making 860 00:42:14,719 --> 00:42:18,040 Speaker 15: your mission that much more urgent but also more difficult. 861 00:42:18,120 --> 00:42:18,200 Speaker 3: Now. 862 00:42:18,560 --> 00:42:20,360 Speaker 16: Well, you know, like I said before, the President and 863 00:42:20,400 --> 00:42:23,319 Speaker 16: his layers were focused on domestic policy from the time 864 00:42:23,400 --> 00:42:25,880 Speaker 16: he was campaigning until the time he came into office. 865 00:42:25,920 --> 00:42:28,400 Speaker 16: He said, we're going to make it more affordable in 866 00:42:28,480 --> 00:42:31,080 Speaker 16: American I know personally being in the cabinet and knowing 867 00:42:31,120 --> 00:42:33,640 Speaker 16: the President working with him that to be able to 868 00:42:33,840 --> 00:42:36,680 Speaker 16: help Americans to afford to buy a home, to buy grocers, 869 00:42:36,760 --> 00:42:39,760 Speaker 16: to buy medications, it's top of mind for the President. 870 00:42:39,760 --> 00:42:42,200 Speaker 16: And so you see the actions that have been taken 871 00:42:42,239 --> 00:42:46,600 Speaker 16: the recision of these regulatory environments that taken down burdens 872 00:42:46,640 --> 00:42:50,040 Speaker 16: and regulations to help American people is a great priority 873 00:42:50,080 --> 00:42:52,200 Speaker 16: for the President and myself. And so while it may 874 00:42:52,280 --> 00:42:55,120 Speaker 16: seem to be difficult, we've made great strides, but there's 875 00:42:55,120 --> 00:42:56,040 Speaker 16: still a lot of work to do or. 876 00:42:56,040 --> 00:42:58,120 Speaker 15: At a time, mister secretary, but how many houses can 877 00:42:58,160 --> 00:42:59,880 Speaker 15: you build if you stay with President Trump for the 878 00:43:00,160 --> 00:43:03,080 Speaker 15: remainder of this term, how many affordable units can you 879 00:43:03,160 --> 00:43:04,040 Speaker 15: add in this country? 880 00:43:04,080 --> 00:43:07,520 Speaker 16: Well, we're going to add many, many, in particular opportunity designs. 881 00:43:07,520 --> 00:43:09,600 Speaker 16: There's already been four hundred thousand, so we want to 882 00:43:09,640 --> 00:43:11,000 Speaker 16: do potated and do even more. 883 00:43:11,120 --> 00:43:13,120 Speaker 15: It's great to see you, Good luck and thanks for 884 00:43:13,200 --> 00:43:15,640 Speaker 15: being with us. Thank you, Secretary Scott Turner with us 885 00:43:15,680 --> 00:43:17,040 Speaker 15: live from Los Angeles, Caroline. 886 00:43:17,040 --> 00:43:19,520 Speaker 3: Back to you, Joe Matthew. So good to hear from 887 00:43:19,560 --> 00:43:22,040 Speaker 3: you on the other coast. Right now, West Coast. All 888 00:43:22,120 --> 00:43:25,600 Speaker 3: Things Milkan will be throughout the day and the week 889 00:43:25,719 --> 00:43:27,560 Speaker 3: here on Bloomberg TV. But now that does it for 890 00:43:27,640 --> 00:43:30,359 Speaker 3: this edition of Bloomberg Tech. Don't forget to check out 891 00:43:30,360 --> 00:43:31,839 Speaker 3: our podcast you can find on the terminal as well 892 00:43:31,840 --> 00:43:33,680 Speaker 3: as online on Apple, Spotify. 893 00:43:33,360 --> 00:43:34,040 Speaker 2: And iHeart. 894 00:43:34,360 --> 00:43:37,120 Speaker 3: We return to the markets which have seen some geopolitical 895 00:43:37,160 --> 00:43:40,120 Speaker 3: anxiety around them. Today we currently see we're off by 896 00:43:40,160 --> 00:43:42,680 Speaker 3: three tens percent on the nasdak nows that one hundred 897 00:43:42,760 --> 00:43:46,080 Speaker 3: are under pressure as we see once again missile threats 898 00:43:46,400 --> 00:43:50,280 Speaker 3: For the UAE, the semi indexes are by six tens percent, 899 00:43:50,360 --> 00:43:52,759 Speaker 3: down from a record high. Brent crude up to one 900 00:43:52,840 --> 00:43:56,200 Speaker 3: hundred and fourteen dollars a barrel. We're seeing yields move higher, 901 00:43:56,560 --> 00:43:59,560 Speaker 3: particularly in the world of the debt markets. Bitcoin though 902 00:44:00,000 --> 00:44:01,759 Speaker 3: seventy nine thousand. That's a Blue Bay Tech