1 00:00:02,520 --> 00:00:12,600 Speaker 1: Bloomberg Audio Studios, Podcasts, Radio new Bloomberg Tech is alive 2 00:00:12,640 --> 00:00:16,439 Speaker 1: from coast to coast with Caroline Hide in New York 3 00:00:16,720 --> 00:00:20,760 Speaker 1: and Eva Low in San Francisco. 4 00:00:22,040 --> 00:00:25,040 Speaker 2: This is Bloomberg Tech and coming up in video within reach, 5 00:00:25,120 --> 00:00:27,800 Speaker 2: heading to be the first company to hit a four 6 00:00:27,960 --> 00:00:30,160 Speaker 2: trillion dollar value plus. 7 00:00:30,160 --> 00:00:32,280 Speaker 3: The US and China finalize. 8 00:00:31,760 --> 00:00:36,320 Speaker 2: A trade truce which includes China's commitment to deliver rare Earth, 9 00:00:36,720 --> 00:00:40,640 Speaker 2: and Crusoe teams up with Redwood to tackle AI's biggest challenge, 10 00:00:40,720 --> 00:00:44,920 Speaker 2: power the largest deployment of reused batteries globally. 11 00:00:44,800 --> 00:00:46,640 Speaker 3: For an AI data center. 12 00:00:46,680 --> 00:00:49,559 Speaker 2: When we talk about technology and equity markets, there's a 13 00:00:49,600 --> 00:00:52,760 Speaker 2: story right now that everyone's focused on. Could in Vidia 14 00:00:53,120 --> 00:00:56,720 Speaker 2: be the first four trillion dollar marketcat company. We're at 15 00:00:56,760 --> 00:00:59,160 Speaker 2: three point eighty three trillion dollars right now. Actually, we 16 00:00:59,240 --> 00:01:01,360 Speaker 2: have some way to go. The stocks up like one 17 00:01:01,360 --> 00:01:03,400 Speaker 2: point three one and a half percent in the session. 18 00:01:03,600 --> 00:01:05,800 Speaker 2: It would need a gain of almost six percent to 19 00:01:05,880 --> 00:01:07,640 Speaker 2: hit that milestone this Friday. 20 00:01:07,920 --> 00:01:09,360 Speaker 3: But there's a longer term story. 21 00:01:09,480 --> 00:01:12,600 Speaker 2: Since those April lows in markets that were coming out 22 00:01:12,640 --> 00:01:15,560 Speaker 2: of that post deep seak, anxiety in video is up 23 00:01:15,560 --> 00:01:18,800 Speaker 2: more than sixty percent we've come through earnings and there's 24 00:01:18,800 --> 00:01:21,720 Speaker 2: a bullish thesis emerging that actually in Vidia has more 25 00:01:21,959 --> 00:01:24,560 Speaker 2: room to run because of the commitment of those cloud 26 00:01:24,600 --> 00:01:28,120 Speaker 2: computing companies to keep on spending and buying those in 27 00:01:28,240 --> 00:01:30,520 Speaker 2: video GPUs, Will Nvidia be the. 28 00:01:30,480 --> 00:01:32,000 Speaker 3: First four trillion dollar company? 29 00:01:32,120 --> 00:01:35,200 Speaker 2: Let's get more. Mandy Singer Bloomberg Intelligence joins us. Now 30 00:01:35,360 --> 00:01:37,480 Speaker 2: and Mandy, why it's so crucial we have you on 31 00:01:37,520 --> 00:01:40,720 Speaker 2: the show. Is you cover the full spectrum of megacat 32 00:01:40,840 --> 00:01:44,520 Speaker 2: tech four trillion dollars for Nvidia? What would be supporting 33 00:01:44,560 --> 00:01:45,240 Speaker 2: that valuation? 34 00:01:45,800 --> 00:01:49,600 Speaker 4: Yeah, Look, every data point that you have tragged this 35 00:01:49,800 --> 00:01:53,760 Speaker 4: quarter has been supportive of estimate's going up. The leaders 36 00:01:53,880 --> 00:01:57,480 Speaker 4: un being Micron talking about, you know, how their HPM 37 00:01:57,600 --> 00:02:01,880 Speaker 4: sales continue to ramp up better and expected. And when 38 00:02:01,920 --> 00:02:05,520 Speaker 4: it comes to inferencing, clearly the trend of you know, 39 00:02:05,640 --> 00:02:10,360 Speaker 4: spending more compute at the time of query, the reasoning 40 00:02:10,400 --> 00:02:15,200 Speaker 4: capabilities that these models have added, especially with open aio series, 41 00:02:15,639 --> 00:02:20,000 Speaker 4: what that has done is really reinforced compute demand tied 42 00:02:20,040 --> 00:02:23,639 Speaker 4: to inferencing, and that to me is what's driving this 43 00:02:24,120 --> 00:02:28,200 Speaker 4: wave of you know, enthusiasm around and videos runway because 44 00:02:28,520 --> 00:02:31,679 Speaker 4: the two hundred billion dollar number for this year. Clearly 45 00:02:31,760 --> 00:02:34,440 Speaker 4: there's a line of sight even when you take out 46 00:02:34,480 --> 00:02:36,680 Speaker 4: all the China revenue, which they did, you know, with 47 00:02:36,760 --> 00:02:40,440 Speaker 4: the guide in the last quarter. And so the question 48 00:02:40,600 --> 00:02:43,280 Speaker 4: is how much will they grow next year? And right 49 00:02:43,280 --> 00:02:46,240 Speaker 4: now consensus is around two hundred and fifty billion dollars. 50 00:02:46,720 --> 00:02:50,320 Speaker 4: So with sovereigns coming into play, especially Middle East and 51 00:02:50,320 --> 00:02:53,160 Speaker 4: now Jensen being in Europe, you feel like, you know 52 00:02:53,240 --> 00:02:55,400 Speaker 4: they have line of sight to that revenue as well, 53 00:02:55,440 --> 00:02:57,680 Speaker 4: and that's why, you know, the multiple seems to be 54 00:02:57,720 --> 00:02:58,600 Speaker 4: expanding here. 55 00:02:59,160 --> 00:03:02,800 Speaker 2: Okay, just below one hundred and fifty seven dollars per share. 56 00:03:02,840 --> 00:03:04,600 Speaker 2: I was doing the math with the team, and I 57 00:03:04,639 --> 00:03:07,680 Speaker 2: think that one hundred and sixty four dollars per share 58 00:03:07,760 --> 00:03:10,000 Speaker 2: or just below it would get us the four trillion 59 00:03:10,000 --> 00:03:12,800 Speaker 2: dollars of market cap in Video was the first chip 60 00:03:12,840 --> 00:03:15,680 Speaker 2: maker to hit a trillion dollars of market value, and 61 00:03:15,720 --> 00:03:18,720 Speaker 2: of course it's gone well beyond that. But there are headwinds, 62 00:03:18,720 --> 00:03:20,760 Speaker 2: and I think what Mandy would be helpful to the 63 00:03:20,800 --> 00:03:23,800 Speaker 2: audience is to explain what's the threat to INVIDEA. 64 00:03:23,919 --> 00:03:24,600 Speaker 3: Some of it is. 65 00:03:24,560 --> 00:03:28,080 Speaker 2: The custom silicon that the hyperscalers are looking at, but 66 00:03:28,120 --> 00:03:30,320 Speaker 2: there are other players in the market. AMD will have 67 00:03:30,360 --> 00:03:33,760 Speaker 2: something to say about this monopoly that in Vidia currently holds. 68 00:03:34,040 --> 00:03:36,640 Speaker 4: Yeah, and that's why you know, in video, opening up 69 00:03:36,680 --> 00:03:40,680 Speaker 4: its platform the Envy Link now supporting other chips was 70 00:03:40,720 --> 00:03:43,400 Speaker 4: such a big move and coming in at a great 71 00:03:43,480 --> 00:03:47,280 Speaker 4: time because now they are saying, you can get Broadcom gear, 72 00:03:47,560 --> 00:03:50,360 Speaker 4: but we'll be able to integrate it with our Envy Link, 73 00:03:50,440 --> 00:03:53,240 Speaker 4: and that's where the opening up our ecosystem. I think 74 00:03:53,240 --> 00:03:56,720 Speaker 4: it's a very wise move, and that helps in video 75 00:03:56,840 --> 00:04:00,240 Speaker 4: because all the investment that companies are making in in 76 00:04:00,320 --> 00:04:03,720 Speaker 4: video stack now can support some other tips. So with 77 00:04:03,840 --> 00:04:06,080 Speaker 4: that being said, look, I mean the numbers are getting 78 00:04:06,080 --> 00:04:09,320 Speaker 4: bigger and bigger, so you kind of think, yes, in 79 00:04:09,480 --> 00:04:13,440 Speaker 4: VideA is a durable monopoly. But for how long, given 80 00:04:13,560 --> 00:04:15,960 Speaker 4: you know all the other factors that you just described. 81 00:04:16,000 --> 00:04:18,960 Speaker 4: But for right now, it feels like they clearly are 82 00:04:19,000 --> 00:04:21,040 Speaker 4: executing very well on that front. 83 00:04:21,400 --> 00:04:24,920 Speaker 2: Mandy's saying, who leads technology research of Bloomberg Intelligence, thank 84 00:04:24,960 --> 00:04:25,680 Speaker 2: you so much. 85 00:04:25,720 --> 00:04:27,000 Speaker 3: Let's get to the other top story. 86 00:04:27,000 --> 00:04:30,800 Speaker 2: In Washington, US Commerce Secretary Howard Lutnik says a trade 87 00:04:30,839 --> 00:04:33,760 Speaker 2: truce between the US and China has been signed. 88 00:04:34,880 --> 00:04:39,000 Speaker 5: So the China deal, we inked the deal. You remember, 89 00:04:39,080 --> 00:04:43,640 Speaker 5: we had a trip to Geneva and then that was 90 00:04:43,680 --> 00:04:46,560 Speaker 5: being slow played. We got back together in London and 91 00:04:46,560 --> 00:04:49,840 Speaker 5: that deal was signed and sealed two days ago. 92 00:04:51,520 --> 00:04:53,920 Speaker 2: For the details, Bloombers Katie Lines joins us in. Kelly, 93 00:04:54,040 --> 00:04:56,479 Speaker 2: that was your conversation, your interaction, and I think that 94 00:04:56,520 --> 00:04:58,520 Speaker 2: what you were trying to get to is that there 95 00:04:58,520 --> 00:05:01,479 Speaker 2: are deals to come. So where did China sit within 96 00:05:01,600 --> 00:05:04,000 Speaker 2: what's being negotiated and what's been signed. 97 00:05:05,400 --> 00:05:07,440 Speaker 6: Yeah, that's exactly right ed. And we should note this 98 00:05:07,560 --> 00:05:09,719 Speaker 6: deal that was signed earlier this week that we just 99 00:05:09,800 --> 00:05:12,240 Speaker 6: learned about yesterday evening and has now been confirmed by 100 00:05:12,240 --> 00:05:14,360 Speaker 6: the Chinese side as well, is far from the kind 101 00:05:14,400 --> 00:05:18,000 Speaker 6: of comprehensive trade agreement that could take much longer to negotiate. 102 00:05:18,040 --> 00:05:20,760 Speaker 6: What it does solidify, though, is finalizing the framework that 103 00:05:20,839 --> 00:05:23,000 Speaker 6: was initially as we just heard the Secretary say, agree 104 00:05:23,000 --> 00:05:25,640 Speaker 6: to in Geneva, talked about again in London, and now 105 00:05:25,680 --> 00:05:28,640 Speaker 6: finally is looking toward implementation. And what that will mean 106 00:05:28,680 --> 00:05:31,200 Speaker 6: is that China will start approving once again the export 107 00:05:31,240 --> 00:05:35,360 Speaker 6: of rare earth minerals. That was a sticking point obviously 108 00:05:35,400 --> 00:05:38,200 Speaker 6: in the Commerce. Secretary says once those exports start flowing, 109 00:05:38,200 --> 00:05:41,200 Speaker 6: the US will lift its own restrictive measures on exports 110 00:05:41,200 --> 00:05:44,000 Speaker 6: on things like ethane. So it definitely is a step 111 00:05:44,000 --> 00:05:47,039 Speaker 6: forward and the relationship trading relationship between these two countries, 112 00:05:47,040 --> 00:05:48,560 Speaker 6: But of course it's just one step, and what is 113 00:05:48,600 --> 00:05:52,200 Speaker 6: a multifaceted approach by this administration to reapproach trade not 114 00:05:52,360 --> 00:05:54,719 Speaker 6: just with China but other trading partners as well. The 115 00:05:54,760 --> 00:05:57,120 Speaker 6: other thing the Commerce Secretary told us in our conversation 116 00:05:57,720 --> 00:06:01,480 Speaker 6: last night is that July ninth trade deadline is looming, 117 00:06:01,520 --> 00:06:04,800 Speaker 6: is that the administration is expecting about ten expecting about 118 00:06:04,839 --> 00:06:06,760 Speaker 6: ten trade deals to be announced over the course of 119 00:06:06,800 --> 00:06:08,840 Speaker 6: the next few weeks. While he didn't get specific as 120 00:06:08,839 --> 00:06:11,599 Speaker 6: to what countries exactly, he did echo the words we 121 00:06:11,640 --> 00:06:13,640 Speaker 6: heard from President Trump at the White House yesterday that 122 00:06:13,640 --> 00:06:16,880 Speaker 6: they're getting closer with India. He also expressed some optimism 123 00:06:16,960 --> 00:06:21,159 Speaker 6: around negotiations with the European Union, specifically suggesting those have 124 00:06:21,240 --> 00:06:23,640 Speaker 6: picked up in recent weeks, and we understand that optimism 125 00:06:23,720 --> 00:06:27,440 Speaker 6: is being expressed privately by the European Commission President Ursula 126 00:06:27,480 --> 00:06:29,000 Speaker 6: Vonderlion in recent days as well. 127 00:06:29,720 --> 00:06:32,640 Speaker 2: There had been an idea, and it was an idea 128 00:06:32,920 --> 00:06:34,919 Speaker 2: rather than something put forward by the parties that there 129 00:06:34,920 --> 00:06:36,840 Speaker 2: could be this kind of trade off for quid pro 130 00:06:36,960 --> 00:06:40,240 Speaker 2: quo where rare eerfs might come in exchange for some 131 00:06:40,400 --> 00:06:44,599 Speaker 2: change in policy on the semiconductor side. What content of 132 00:06:44,640 --> 00:06:47,440 Speaker 2: this discussion do we know if there is anything specifically 133 00:06:47,440 --> 00:06:48,400 Speaker 2: relating to chips. 134 00:06:50,000 --> 00:06:52,560 Speaker 6: Well, when it comes to chips, that is something that 135 00:06:52,600 --> 00:06:55,599 Speaker 6: the US had suggested was going to be factored into 136 00:06:55,640 --> 00:06:57,800 Speaker 6: this conversation. What we still don't know at this time, 137 00:06:57,920 --> 00:07:00,000 Speaker 6: ed though we know deal has been signed, is actually 138 00:07:00,120 --> 00:07:02,440 Speaker 6: what the nuances of it are. We didn't even know 139 00:07:02,480 --> 00:07:04,480 Speaker 6: it had been signed until two days after the fact 140 00:07:04,520 --> 00:07:08,159 Speaker 6: when the President said it kind of slipped up in 141 00:07:08,240 --> 00:07:10,280 Speaker 6: the news conference or an event at the White House 142 00:07:10,360 --> 00:07:13,080 Speaker 6: yesterday and the Commerce Secretary confirmed it. But we do 143 00:07:13,160 --> 00:07:15,720 Speaker 6: know it all really does hinge on these critical minerals 144 00:07:15,760 --> 00:07:18,800 Speaker 6: actually arriving in the US, those exports actually beginning. That 145 00:07:18,920 --> 00:07:22,400 Speaker 6: is what the administration had been lobbying or levying accusations 146 00:07:22,400 --> 00:07:24,960 Speaker 6: against China, rather saying that they were slow walking it, 147 00:07:24,960 --> 00:07:26,560 Speaker 6: which is why there were some question as to whether 148 00:07:26,600 --> 00:07:29,160 Speaker 6: this accord would be able to move forward in the 149 00:07:29,160 --> 00:07:32,320 Speaker 6: first place. But China officials are telling Bloomberg today that 150 00:07:32,360 --> 00:07:35,240 Speaker 6: they are going to start sifting through those applications. In 151 00:07:35,320 --> 00:07:37,240 Speaker 6: that process should be underway, and that is when they 152 00:07:37,320 --> 00:07:40,520 Speaker 6: can get into more where we could see the US 153 00:07:40,520 --> 00:07:42,960 Speaker 6: actually starting to lift those restrictions. We just haven't sent 154 00:07:43,000 --> 00:07:45,600 Speaker 6: them yet, as the Commerce Secretary is effectively saying, China has. 155 00:07:45,480 --> 00:07:46,040 Speaker 7: To move first. 156 00:07:46,840 --> 00:07:49,480 Speaker 2: Bloombos Kaye lines and I highly recommend you watch your 157 00:07:49,520 --> 00:07:51,080 Speaker 2: interview of Commerce Secretary Lutnik. 158 00:07:51,120 --> 00:07:51,880 Speaker 3: Thank you very much. 159 00:07:52,040 --> 00:07:53,920 Speaker 2: Let's get more in the broader impact of both of 160 00:07:53,960 --> 00:07:56,960 Speaker 2: those stories on the tech markets. Fionasen Coda is the 161 00:07:56,960 --> 00:08:00,720 Speaker 2: City Index Financial Markets senior analysts and trade piece is 162 00:08:00,720 --> 00:08:03,400 Speaker 2: where I want to start. We know more now than 163 00:08:03,400 --> 00:08:06,680 Speaker 2: we did yesterday about the trade relationship between the US 164 00:08:06,720 --> 00:08:10,360 Speaker 2: and China. As somebody that looks across the technology sector, 165 00:08:10,600 --> 00:08:12,240 Speaker 2: has the market factored that in. 166 00:08:14,360 --> 00:08:17,760 Speaker 8: Yes, it does feel that there is an improved sentiment, 167 00:08:17,920 --> 00:08:22,840 Speaker 8: but it's not just on that China US deal. I 168 00:08:22,840 --> 00:08:25,640 Speaker 8: think there has just been sort of a broad improvement 169 00:08:25,720 --> 00:08:28,880 Speaker 8: in sentiment. It's been a very disruptive start to the 170 00:08:28,960 --> 00:08:31,640 Speaker 8: year overall. So the fact that it feels that things 171 00:08:31,680 --> 00:08:34,600 Speaker 8: are starting to slowly line up and fall into place. 172 00:08:34,880 --> 00:08:38,840 Speaker 8: For example, the improved relations between the US and China 173 00:08:38,920 --> 00:08:41,960 Speaker 8: that feels like it's starting to be priced in. Obviously, 174 00:08:42,000 --> 00:08:44,880 Speaker 8: we've had the disruptions with regards to the Middle East 175 00:08:44,880 --> 00:08:46,920 Speaker 8: and the impact that that's had on sentiment, But I 176 00:08:46,920 --> 00:08:49,480 Speaker 8: feel that we are now able to sort of swift 177 00:08:49,480 --> 00:08:54,360 Speaker 8: the shift the focus more towards typical sort of macro 178 00:08:54,720 --> 00:08:59,960 Speaker 8: and a fundamental analysism focus, which we haven't been able 179 00:08:59,960 --> 00:09:02,440 Speaker 8: to do for much of this year. So yes, you know, 180 00:09:02,520 --> 00:09:05,240 Speaker 8: I feel that there is optimism that is being priced in, 181 00:09:05,400 --> 00:09:07,719 Speaker 8: but I think that there potentially is more to run to. 182 00:09:09,640 --> 00:09:12,600 Speaker 2: We're in a place right now this moment Friday, June 183 00:09:12,600 --> 00:09:16,240 Speaker 2: twenty seventh, where the SMP five hundred could close a 184 00:09:16,280 --> 00:09:19,040 Speaker 2: fresh record, largely to do a trade if you go 185 00:09:19,280 --> 00:09:23,080 Speaker 2: just on this market summary on the Bloomberg terminal. But 186 00:09:23,559 --> 00:09:25,520 Speaker 2: over the course of this week, we've talked about what 187 00:09:25,600 --> 00:09:28,240 Speaker 2: has changed since April where markets kind of had that 188 00:09:28,400 --> 00:09:31,840 Speaker 2: low and it is Micron, it is Palenteer, and now 189 00:09:31,840 --> 00:09:34,960 Speaker 2: in Nvidia potentially at four trillion dollars. What is the 190 00:09:35,000 --> 00:09:37,560 Speaker 2: biggest do you think driver of growth in this market 191 00:09:37,559 --> 00:09:38,040 Speaker 2: at the moment? 192 00:09:40,000 --> 00:09:41,640 Speaker 9: Well, it's a really good question, you know. 193 00:09:41,760 --> 00:09:43,840 Speaker 8: I think what the problem that we had was that 194 00:09:43,880 --> 00:09:47,880 Speaker 8: there was that massive shock and scare from Trump and 195 00:09:47,920 --> 00:09:51,120 Speaker 8: what the impact of those potential trade tariffs could be. 196 00:09:51,480 --> 00:09:54,040 Speaker 8: Now we didn't get that worst case scenario. 197 00:09:54,240 --> 00:09:55,480 Speaker 9: In fact, we've been sort. 198 00:09:55,320 --> 00:09:58,080 Speaker 8: Of pedaled backed quite a lot, and potentially now the 199 00:09:58,120 --> 00:09:59,400 Speaker 8: outlook isn't so bad. 200 00:09:59,440 --> 00:10:02,559 Speaker 9: Although will mind more out on July the ninth. 201 00:10:03,160 --> 00:10:05,160 Speaker 8: But as far as tech is concerned as well, I 202 00:10:05,160 --> 00:10:08,760 Speaker 8: think the environment, broadly speaking, the environment is much improving. 203 00:10:09,080 --> 00:10:13,760 Speaker 8: There is a potential of a more dubvish Federal Reserve. 204 00:10:13,840 --> 00:10:15,719 Speaker 8: You know, we had from Federal Reserve chair our own 205 00:10:15,800 --> 00:10:18,040 Speaker 8: power this week. He did seem to have a slightly 206 00:10:18,880 --> 00:10:21,240 Speaker 8: less hawkish stance, perhaps than at the end of the 207 00:10:21,240 --> 00:10:23,880 Speaker 8: FED meeting in the previous week, So I think that 208 00:10:24,040 --> 00:10:25,280 Speaker 8: is also helping. 209 00:10:25,520 --> 00:10:27,480 Speaker 9: And also we've got sentiment. 210 00:10:27,600 --> 00:10:30,880 Speaker 8: You know, investors are able to turn their focus back 211 00:10:30,920 --> 00:10:35,360 Speaker 8: to the fundamentals, back to this AI trade, which really 212 00:10:35,400 --> 00:10:37,920 Speaker 8: when we had there were so many disruptions earlier on 213 00:10:38,000 --> 00:10:41,280 Speaker 8: in the year, between you know, Trump's taris, between the 214 00:10:41,320 --> 00:10:45,280 Speaker 8: Middle East, between rating oil prices, the investors weren't able 215 00:10:45,320 --> 00:10:46,960 Speaker 8: to focus on that AI story. 216 00:10:47,040 --> 00:10:49,079 Speaker 9: It's always been there, it's always underlying. 217 00:10:49,520 --> 00:10:52,559 Speaker 8: But once again now those fears and worries have sort 218 00:10:52,559 --> 00:10:55,720 Speaker 8: of calmed down, attention can get back to AI, which 219 00:10:55,760 --> 00:10:58,160 Speaker 8: is going to be still a very strong story across 220 00:10:58,200 --> 00:10:59,240 Speaker 8: the second half of the year. 221 00:11:00,280 --> 00:11:04,440 Speaker 2: Okay, let's zero in on Nvidia. Could Nvidia be the 222 00:11:04,559 --> 00:11:06,800 Speaker 2: first four trillion dollar market cap company. 223 00:11:08,200 --> 00:11:09,959 Speaker 9: I'm going to throw it out there and say, yes. 224 00:11:11,600 --> 00:11:13,880 Speaker 9: You know, if we talk about if we think about 225 00:11:13,920 --> 00:11:14,360 Speaker 9: what NA. 226 00:11:14,320 --> 00:11:17,360 Speaker 8: Video and Video does, I mean, it's got this almost 227 00:11:17,400 --> 00:11:21,679 Speaker 8: monopoly play it would feel on that AI chip area. 228 00:11:21,800 --> 00:11:24,240 Speaker 9: I mean, we obviously had that sort of at the. 229 00:11:24,240 --> 00:11:27,599 Speaker 8: Beginning of the year, we had that deep Seek unveiling 230 00:11:27,840 --> 00:11:31,520 Speaker 8: and which concerned the markets, but not really because I 231 00:11:31,559 --> 00:11:34,839 Speaker 8: mean the recovery has been very solid since then, as 232 00:11:34,840 --> 00:11:37,200 Speaker 8: you said, up sixty six percent, So I mean that 233 00:11:37,400 --> 00:11:42,160 Speaker 8: wasn't enough to really disrupt the bullish play for Nvidia. 234 00:11:42,280 --> 00:11:45,840 Speaker 8: The customer base of Nvidia is extremely important. You've got 235 00:11:45,840 --> 00:11:48,640 Speaker 8: you know, those big tech in there. You've got sort 236 00:11:48,640 --> 00:11:52,120 Speaker 8: of you know, Amazon Meta, there are all these Microsoft, 237 00:11:52,120 --> 00:11:55,000 Speaker 8: the big companies that are really supporting the revenue growth 238 00:11:55,040 --> 00:11:57,520 Speaker 8: here as well. So I think that almost feeds in 239 00:11:57,600 --> 00:12:01,280 Speaker 8: its into itself. Spending on A I think is only 240 00:12:01,480 --> 00:12:05,440 Speaker 8: likely to increase from here where we are right now. Obviously, 241 00:12:05,480 --> 00:12:08,800 Speaker 8: there are risks to that outlook, but I don't think 242 00:12:08,960 --> 00:12:13,600 Speaker 8: they're necessarily so concerning that it's a potential limit to 243 00:12:13,760 --> 00:12:16,000 Speaker 8: reaching that four trillion at level. 244 00:12:16,800 --> 00:12:19,280 Speaker 2: So at this scale, you know, at the index level, 245 00:12:19,280 --> 00:12:22,160 Speaker 2: it's not surprising that Nvidia is the biggest points contributor 246 00:12:22,360 --> 00:12:24,640 Speaker 2: across the NASDAQ one hundred s and P five hundred 247 00:12:24,720 --> 00:12:27,839 Speaker 2: Philadelphia Semiconductor Index. I'm going to do the math for 248 00:12:27,880 --> 00:12:30,280 Speaker 2: the audience. We're at one hundred and fifty seven dollars 249 00:12:30,320 --> 00:12:32,319 Speaker 2: fifty cents a share. I think we need to get 250 00:12:32,360 --> 00:12:34,520 Speaker 2: to just below one hundred and sixty four dollars a 251 00:12:34,559 --> 00:12:37,360 Speaker 2: share to hit four trillion. If that happens in this session, 252 00:12:37,920 --> 00:12:42,640 Speaker 2: I'd be surprised. Nonetheless, those risks that you outlined are there. 253 00:12:42,960 --> 00:12:47,800 Speaker 2: Custom Silicon at the Hyperscaler's potentially a product competition. There 254 00:12:47,800 --> 00:12:50,080 Speaker 2: are others in this space AMD. We spoke to Man 255 00:12:50,120 --> 00:12:53,440 Speaker 2: deep thing about earlier. Which of those kind of headwinds 256 00:12:53,440 --> 00:12:56,920 Speaker 2: do you think is worth paying most attention to, Fiona. 257 00:12:58,040 --> 00:13:00,400 Speaker 8: Yeah, So, as you point out, I think the concept 258 00:13:00,440 --> 00:13:07,040 Speaker 8: of having competitors starting to close the gap with Nvidia 259 00:13:07,240 --> 00:13:11,120 Speaker 8: is something that is a potential limit to the upside. 260 00:13:11,120 --> 00:13:13,600 Speaker 8: But then saying that you know, this is still a 261 00:13:13,720 --> 00:13:17,240 Speaker 8: huge a huge market, so there is potential to. 262 00:13:17,280 --> 00:13:20,080 Speaker 9: Have you know, more than one top dog here. 263 00:13:20,640 --> 00:13:23,000 Speaker 8: We don't know that yet because this is still very 264 00:13:23,080 --> 00:13:25,960 Speaker 8: much discovery phase. It does feel but you know, given 265 00:13:26,000 --> 00:13:30,079 Speaker 8: the potential huge uses for AI that could be the case. 266 00:13:30,440 --> 00:13:33,040 Speaker 2: Fionas and coder a city index financial market. It's great 267 00:13:33,040 --> 00:13:35,080 Speaker 2: to have you back on betech. Thank you so much. 268 00:13:35,200 --> 00:13:36,640 Speaker 2: I want to take a quick look story out of 269 00:13:36,720 --> 00:13:39,680 Speaker 2: China shares of Gaomie. These are the Hong Kong listed shares. 270 00:13:39,800 --> 00:13:42,240 Speaker 2: They close up three point six percent overnight but at 271 00:13:42,240 --> 00:13:45,320 Speaker 2: one point up eight percent, two hundred and eighty nine 272 00:13:45,440 --> 00:13:49,000 Speaker 2: thousand pre orders for their brand new suv in just 273 00:13:49,120 --> 00:13:52,440 Speaker 2: one single hour. There have been several million people on 274 00:13:52,480 --> 00:13:56,040 Speaker 2: the webcast on x when they were presenting this new suv. 275 00:13:56,400 --> 00:13:57,160 Speaker 3: Will continue to. 276 00:13:57,120 --> 00:13:59,640 Speaker 2: Track that story coming out. We have a lot more 277 00:13:59,640 --> 00:14:11,600 Speaker 2: to come. This is Bloomberg Tech. A German privacy regulator 278 00:14:11,600 --> 00:14:14,880 Speaker 2: has warned Apple and Google that deep Seek, available on 279 00:14:14,920 --> 00:14:19,240 Speaker 2: their app stores, constitutes illegal content because it exposes users 280 00:14:19,320 --> 00:14:23,360 Speaker 2: data to Chinese authorities. The formal notification comes after deep 281 00:14:23,400 --> 00:14:26,360 Speaker 2: seek ignored and may request to either pull its out 282 00:14:26,360 --> 00:14:29,320 Speaker 2: from app stores in Germany or put in place safeguards 283 00:14:29,400 --> 00:14:32,760 Speaker 2: when collecting local users data and then transmitting it to 284 00:14:32,920 --> 00:14:37,120 Speaker 2: China elsewhere. Meta is in talks to acquire Playai, a 285 00:14:37,160 --> 00:14:41,120 Speaker 2: startup that uses AI to replicate voices. That's according to sources, 286 00:14:41,320 --> 00:14:43,720 Speaker 2: the deal will give Meta access to play aised tech 287 00:14:44,040 --> 00:14:46,840 Speaker 2: and some of its employees, a move that caboost Meta's 288 00:14:46,880 --> 00:14:48,360 Speaker 2: own AI assistant features. 289 00:14:48,360 --> 00:14:50,240 Speaker 3: For more Bloombus kirk Wagner joins us. 290 00:14:50,200 --> 00:14:53,040 Speaker 2: With the story that the Meta playbook is kind of 291 00:14:53,080 --> 00:14:56,880 Speaker 2: emerging here in the Aquahier context. What does Playai do 292 00:14:56,960 --> 00:14:59,600 Speaker 2: for Meta's own efforts. 293 00:15:00,000 --> 00:15:03,560 Speaker 10: A specializes in voice assistance, and so if you think 294 00:15:03,560 --> 00:15:05,800 Speaker 10: about what Meta is trying to accomplish with its Meta 295 00:15:05,840 --> 00:15:09,400 Speaker 10: AI chatbot and the hands free devices we've talked about before, 296 00:15:09,560 --> 00:15:13,800 Speaker 10: ed right, the ray Ban glasses, the oriyan Ar glasses 297 00:15:13,800 --> 00:15:16,120 Speaker 10: that they're building, the whole notion is that you are 298 00:15:16,160 --> 00:15:18,840 Speaker 10: going to need to control those devices with some type 299 00:15:18,840 --> 00:15:23,320 Speaker 10: of voice assistant, right, And so I think this is 300 00:15:23,360 --> 00:15:25,600 Speaker 10: the type of deal that could help sort of push 301 00:15:25,680 --> 00:15:28,560 Speaker 10: that technology in that progress forward a little bit. It's 302 00:15:28,600 --> 00:15:31,320 Speaker 10: also something where they could put some of this technology 303 00:15:31,320 --> 00:15:34,760 Speaker 10: into their large language model, the LAMA model, that's open source, right, 304 00:15:34,800 --> 00:15:37,880 Speaker 10: and then everybody who uses Lama might have more AI 305 00:15:37,960 --> 00:15:41,120 Speaker 10: capabilities voice AI capabilities as part of that. So I 306 00:15:41,120 --> 00:15:42,720 Speaker 10: think it fits into a bunch of different things that 307 00:15:42,720 --> 00:15:43,760 Speaker 10: they're working on right now. 308 00:15:44,640 --> 00:15:46,840 Speaker 3: So at Quahai we had scare lai. 309 00:15:47,320 --> 00:15:49,520 Speaker 2: Is are we reporting that the structure of this would 310 00:15:49,520 --> 00:15:50,200 Speaker 2: be similar to that? 311 00:15:51,720 --> 00:15:52,720 Speaker 3: So this is slightly different. 312 00:15:52,800 --> 00:15:56,000 Speaker 10: I'm told that this is going to include the technology 313 00:15:56,600 --> 00:15:59,240 Speaker 10: that play ai is building, so it is both talent 314 00:15:59,760 --> 00:16:03,400 Speaker 10: and technology in this deal. Again, it's not closed as 315 00:16:03,440 --> 00:16:05,760 Speaker 10: of you know, yesterday when we reported this news, but 316 00:16:05,800 --> 00:16:09,040 Speaker 10: it is certainly expected to happen, and so you know 317 00:16:09,280 --> 00:16:11,720 Speaker 10: how much of the technology is ultimately going to be 318 00:16:11,920 --> 00:16:14,840 Speaker 10: parted over used. I don't know for sure, but I 319 00:16:14,840 --> 00:16:17,880 Speaker 10: think it's maybe slightly different than the scale AI thing 320 00:16:17,920 --> 00:16:20,280 Speaker 10: because it does feel like they're bringing at least some 321 00:16:20,320 --> 00:16:21,880 Speaker 10: of the technology in with them. 322 00:16:22,240 --> 00:16:23,600 Speaker 3: Meta is spending a bit of money. 323 00:16:23,880 --> 00:16:26,880 Speaker 2: I feel like, I don't know, it's like, let's throw 324 00:16:26,920 --> 00:16:29,960 Speaker 2: money to get in this AI thing that innovating internally. 325 00:16:30,000 --> 00:16:32,320 Speaker 2: I see reports about Boz kind of rallying the troops 326 00:16:32,320 --> 00:16:34,480 Speaker 2: on what Meta is or isn't going to do compared 327 00:16:34,480 --> 00:16:37,120 Speaker 2: to others just make sense of the strategy big picture 328 00:16:37,160 --> 00:16:37,480 Speaker 2: for us. 329 00:16:38,120 --> 00:16:41,720 Speaker 10: Well, you may remember that Mark Zuckerberg last summer spoke 330 00:16:41,760 --> 00:16:44,640 Speaker 10: with our own Emily Chang, and he basically said that 331 00:16:44,720 --> 00:16:47,560 Speaker 10: this is the kind of technology AI and the race 332 00:16:47,600 --> 00:16:49,520 Speaker 10: for AI is the kind of technology that companies are 333 00:16:49,560 --> 00:16:51,960 Speaker 10: going to overspend on. They are going to spend, you know, 334 00:16:52,120 --> 00:16:55,320 Speaker 10: hundreds of billions of dollars to try and develop this 335 00:16:55,360 --> 00:16:57,640 Speaker 10: stuff and be a leader in this stuff, not only 336 00:16:57,720 --> 00:17:00,280 Speaker 10: because it then recruits other people, but because consumers are 337 00:17:00,280 --> 00:17:03,680 Speaker 10: presumably going to go to whichever products are the highest 338 00:17:03,760 --> 00:17:07,160 Speaker 10: quality and the most like interacting with another human being. 339 00:17:07,200 --> 00:17:10,440 Speaker 10: And so you know, would you look at this through 340 00:17:10,440 --> 00:17:13,080 Speaker 10: that lens, like, here's a company and a CEO dead 341 00:17:13,160 --> 00:17:17,080 Speaker 10: set on getting AI. Right, they have this basically money 342 00:17:17,119 --> 00:17:20,600 Speaker 10: printing machine in their advertising business with Facebook and Instagram, 343 00:17:20,920 --> 00:17:24,160 Speaker 10: and they're choosing right now to push those profits, those 344 00:17:24,200 --> 00:17:27,920 Speaker 10: proceeds into the AI race. And so I do think 345 00:17:27,960 --> 00:17:31,680 Speaker 10: there's a realistic chance that Meta is over overspending here. 346 00:17:31,760 --> 00:17:31,920 Speaker 11: Right. 347 00:17:31,960 --> 00:17:33,520 Speaker 10: We'll look back in a few years and say, wow, 348 00:17:33,520 --> 00:17:37,480 Speaker 10: they maybe they open the checkbook too much. But Mark 349 00:17:37,560 --> 00:17:39,879 Speaker 10: Zuckerberg has acknowledged that might be what it takes in 350 00:17:39,960 --> 00:17:42,680 Speaker 10: order to win this race, and so clearly that's something 351 00:17:42,720 --> 00:17:43,800 Speaker 10: he's willing to do right now. 352 00:17:44,480 --> 00:17:47,000 Speaker 2: Bloomers Kurt Wagner with all the meta reporting, Thank you 353 00:17:47,040 --> 00:17:47,520 Speaker 2: so much. 354 00:17:48,640 --> 00:17:50,760 Speaker 3: Crusoe and red with Materials. 355 00:17:50,240 --> 00:17:53,960 Speaker 2: Are tackling AI's biggest challenge power. The two companies have 356 00:17:54,000 --> 00:17:57,920 Speaker 2: teamed up to create North America's largest micro grid, powered 357 00:17:57,920 --> 00:18:02,400 Speaker 2: by large scale solar and cycled batteries, the goal delivering 358 00:18:02,520 --> 00:18:07,080 Speaker 2: rapidly deployable, mobile and scalable AI data centers that operate 359 00:18:07,119 --> 00:18:10,520 Speaker 2: efficiently off grid. Cruso CEO Chase lock Miller joins US 360 00:18:10,560 --> 00:18:13,000 Speaker 2: now along with Redwood CEO JB. 361 00:18:13,080 --> 00:18:13,560 Speaker 3: Strawbel. 362 00:18:13,760 --> 00:18:15,600 Speaker 2: You're both in the field and on the ground. Thank 363 00:18:15,640 --> 00:18:18,200 Speaker 2: you so much for your time. Chase, I'll start with you. 364 00:18:19,359 --> 00:18:23,040 Speaker 2: Is a means to provide power to scale data center. 365 00:18:23,440 --> 00:18:25,040 Speaker 2: This is a really significant step. 366 00:18:26,119 --> 00:18:27,720 Speaker 3: Absolutely thanks for hosting us ED. 367 00:18:28,160 --> 00:18:31,280 Speaker 7: You know, thrilled to be joining you here from from 368 00:18:31,400 --> 00:18:35,000 Speaker 7: from the field where Redwood and Cruso have partnered on 369 00:18:35,359 --> 00:18:40,440 Speaker 7: building this very cool off grid AI data center that's 370 00:18:40,520 --> 00:18:44,120 Speaker 7: powered by on site solar and end of life EV batteries. 371 00:18:44,160 --> 00:18:46,639 Speaker 7: And you can see the array of batteries behind me. 372 00:18:47,040 --> 00:18:51,480 Speaker 7: You can see this mobile and modular AI data center 373 00:18:51,480 --> 00:18:52,919 Speaker 7: that we've dubbed Cruso Spark. 374 00:18:53,720 --> 00:18:54,359 Speaker 3: Each of these. 375 00:18:54,320 --> 00:18:57,239 Speaker 7: Data centers houses about five hundred GPUs and there's going 376 00:18:57,280 --> 00:19:00,520 Speaker 7: to be four of them here, all powered with this grid, 377 00:19:01,280 --> 00:19:04,640 Speaker 7: right micro grid and and batteries. 378 00:19:05,600 --> 00:19:05,879 Speaker 3: JB. 379 00:19:06,080 --> 00:19:08,160 Speaker 2: It's good to have you back on Bloomberg Tech. It's 380 00:19:08,160 --> 00:19:10,639 Speaker 2: been a while, you know, we've we've we've been tracking 381 00:19:10,720 --> 00:19:13,480 Speaker 2: the progress of Redwood, but I think there'll be a 382 00:19:13,520 --> 00:19:16,359 Speaker 2: lot of value in you explaining the opportunity for you 383 00:19:16,480 --> 00:19:21,280 Speaker 2: here in providing this technology platform to power AI data 384 00:19:21,320 --> 00:19:22,400 Speaker 2: centers specifically. 385 00:19:23,760 --> 00:19:25,960 Speaker 12: Well, it's great to be back, and yeah, thanks for 386 00:19:26,000 --> 00:19:29,080 Speaker 12: the opportunity. This We've been growing steadily for quite a 387 00:19:29,119 --> 00:19:31,399 Speaker 12: few years, and you know, today find ourselves in a 388 00:19:31,400 --> 00:19:35,520 Speaker 12: position where there are a huge amount of transportation battery 389 00:19:35,520 --> 00:19:39,000 Speaker 12: packs coming back from the field. We're in pole position 390 00:19:39,119 --> 00:19:41,280 Speaker 12: to make best use of a lot of those assets, 391 00:19:41,680 --> 00:19:44,119 Speaker 12: and we've i think, really invented a platform that you 392 00:19:44,160 --> 00:19:47,520 Speaker 12: see behind us here that can deploy those cost efficiently 393 00:19:48,280 --> 00:19:51,879 Speaker 12: to provide grid energy storage. And I think one of 394 00:19:51,880 --> 00:19:55,240 Speaker 12: the best in highest value applications of that is to 395 00:19:55,280 --> 00:19:57,840 Speaker 12: do things like what we're seeing here to provide very 396 00:19:57,920 --> 00:20:03,400 Speaker 12: fast and reliable energy for AI expansion, JB. 397 00:20:03,520 --> 00:20:07,560 Speaker 2: Could you just give us a sense of any capacity 398 00:20:07,600 --> 00:20:10,199 Speaker 2: constraint that you have, you know, where you're sending your 399 00:20:10,200 --> 00:20:13,000 Speaker 2: batteries to and how you're going to prioritize them as 400 00:20:13,040 --> 00:20:15,600 Speaker 2: you go through the recycle or reuse process. 401 00:20:17,240 --> 00:20:20,520 Speaker 12: Yeah, so we aim to reuse and repurpose every battery 402 00:20:20,520 --> 00:20:23,960 Speaker 12: that we possibly can, anything that has remaining life. You know, 403 00:20:24,000 --> 00:20:27,359 Speaker 12: we already have gigawatt hours of batteries in the pipeline 404 00:20:27,359 --> 00:20:31,160 Speaker 12: to do that. This project alone is already the largest 405 00:20:31,200 --> 00:20:35,040 Speaker 12: microgrid in North America and also the world's largest deployment 406 00:20:35,160 --> 00:20:38,800 Speaker 12: of second life reused batteries. But we're already aiming at 407 00:20:38,840 --> 00:20:41,960 Speaker 12: projects that are twenty two one hundred times larger than this, 408 00:20:42,520 --> 00:20:45,159 Speaker 12: So there's a lot to come in the growth in 409 00:20:45,200 --> 00:20:46,359 Speaker 12: the pipeline. 410 00:20:47,800 --> 00:20:48,159 Speaker 3: Chase. 411 00:20:48,920 --> 00:20:51,760 Speaker 2: You and I very recently discussed, and indeed we had 412 00:20:51,800 --> 00:20:54,480 Speaker 2: Drew Baglino on the show right from heron the need 413 00:20:54,560 --> 00:20:58,119 Speaker 2: to modernize energy infrastructure in the context of the data 414 00:20:58,160 --> 00:21:00,919 Speaker 2: center build out. Are you able to kind of quantify 415 00:21:01,359 --> 00:21:03,959 Speaker 2: or give our audience a sense of the challenge of 416 00:21:04,000 --> 00:21:07,520 Speaker 2: how much a bottleneck the energy component is when you're 417 00:21:07,520 --> 00:21:09,720 Speaker 2: building out these data centers around this country. 418 00:21:11,600 --> 00:21:11,800 Speaker 7: Yeah. 419 00:21:11,840 --> 00:21:12,399 Speaker 13: Absolutely. 420 00:21:12,560 --> 00:21:15,280 Speaker 7: You know, one of the major aspects to the bottleneck 421 00:21:15,400 --> 00:21:18,480 Speaker 7: for energy really is the speed. You know, people are 422 00:21:19,040 --> 00:21:23,280 Speaker 7: applying for grid inter connections and they're finding themselves in 423 00:21:23,440 --> 00:21:25,720 Speaker 7: multi year you know, five ten year. 424 00:21:26,400 --> 00:21:29,440 Speaker 3: Cues to basically get that load approval. What we've done 425 00:21:29,480 --> 00:21:32,360 Speaker 3: here is rapidly deployed these. 426 00:21:32,280 --> 00:21:38,000 Speaker 7: Modular and mobile data centers alongside this solar and battery installment, 427 00:21:38,720 --> 00:21:41,679 Speaker 7: and this all came together in about four months, so 428 00:21:41,720 --> 00:21:45,159 Speaker 7: we were able to rapidly sort of manufacture in the 429 00:21:45,240 --> 00:21:48,520 Speaker 7: Cruso factories these modular data centers and deploy this large 430 00:21:48,600 --> 00:21:53,359 Speaker 7: array of batteries of partnership with with Redwood to effectively 431 00:21:53,720 --> 00:21:57,000 Speaker 7: drive power to AI infrastructure on a really fast basis. 432 00:21:57,920 --> 00:22:01,320 Speaker 7: You know, from our perspective, our philosophy is that the 433 00:22:01,359 --> 00:22:03,640 Speaker 7: future of AI is going to be abundant and it's 434 00:22:03,640 --> 00:22:06,080 Speaker 7: going to be ubiquitous, which means that we're going to 435 00:22:06,119 --> 00:22:08,640 Speaker 7: need very large scale AI data centers like what we're 436 00:22:08,640 --> 00:22:11,280 Speaker 7: building an Applie Texus. They're gonna gig a lot scale, 437 00:22:11,280 --> 00:22:14,080 Speaker 7: five gig, WoT scale, ten gig a loot scale, massive 438 00:22:14,119 --> 00:22:16,840 Speaker 7: facilities to train the next frontier models, and then you're 439 00:22:16,840 --> 00:22:21,080 Speaker 7: going to have lots of smaller modular inference data centers 440 00:22:21,080 --> 00:22:24,040 Speaker 7: that are deploying and serving customers rearb edge like what 441 00:22:24,080 --> 00:22:29,560 Speaker 7: we built here or in Sparks with Cruso Spark unit. 442 00:22:29,880 --> 00:22:32,520 Speaker 2: And for so many technology companies on prem is so 443 00:22:32,720 --> 00:22:35,879 Speaker 2: back chase. How much of a premium is there on 444 00:22:35,920 --> 00:22:39,919 Speaker 2: the cost of JB's technology versus other sources of energy 445 00:22:39,920 --> 00:22:41,760 Speaker 2: and other storage options. 446 00:22:42,800 --> 00:22:45,400 Speaker 7: Yeah, that's actually one of the magical things about this 447 00:22:45,480 --> 00:22:48,879 Speaker 7: is it has something that I call the negative green premium. 448 00:22:48,920 --> 00:22:52,920 Speaker 7: We are powering this site entirely with solar and batteries, 449 00:22:52,920 --> 00:22:55,520 Speaker 7: so we're getting ground the clock twenty four to seven 450 00:22:55,600 --> 00:22:59,560 Speaker 7: power all from the sun, and it's cheaper than our 451 00:22:59,640 --> 00:23:02,320 Speaker 7: overall cost of power in a market like Northern Virginia, 452 00:23:02,760 --> 00:23:07,920 Speaker 7: so it's faster, cheaper, and it can be rapidly deployed 453 00:23:07,960 --> 00:23:10,159 Speaker 7: almost anywhere. So something we're really proud of. 454 00:23:10,160 --> 00:23:12,359 Speaker 3: I'm really excited about JB. 455 00:23:12,520 --> 00:23:14,200 Speaker 2: This is obviously a big, a big deal on a 456 00:23:14,200 --> 00:23:17,440 Speaker 2: big milestone for Redwood. But again, it's been sometimes since 457 00:23:17,440 --> 00:23:20,240 Speaker 2: you've been on the show. Update us on your progress 458 00:23:20,320 --> 00:23:23,760 Speaker 2: to date and the next steps is you scale this process. 459 00:23:23,760 --> 00:23:24,880 Speaker 2: We just have one minute. 460 00:23:25,960 --> 00:23:29,000 Speaker 12: Well at Redwood today, we're by far the largest battery 461 00:23:29,040 --> 00:23:32,159 Speaker 12: recycler in North America. You know, we have hundreds of 462 00:23:32,200 --> 00:23:36,240 Speaker 12: millions in revenue from the recycling operations, and this new 463 00:23:36,400 --> 00:23:40,399 Speaker 12: energy business that we're launching is our next chapter of growth. 464 00:23:41,119 --> 00:23:44,920 Speaker 2: All right, CRUSO CEO Chase lock Miller alongside Redwood Material 465 00:23:45,040 --> 00:23:48,040 Speaker 2: CEO JB. Strawbell live from the ground. Great to have 466 00:23:48,119 --> 00:23:58,040 Speaker 2: you both back on Bloomberg Tech. Welcome back to Bloomberg Tech. 467 00:23:58,200 --> 00:24:01,200 Speaker 2: In equity markets, it is the tech sector that's kind 468 00:24:01,200 --> 00:24:03,400 Speaker 2: of leading the way over the course of this week, 469 00:24:03,760 --> 00:24:05,960 Speaker 2: major indicason. Then now's that one hundreds where I focus 470 00:24:06,040 --> 00:24:08,960 Speaker 2: right because of that high concentration of tech on track 471 00:24:09,119 --> 00:24:12,080 Speaker 2: to close a fresh record highs. The narrative is really 472 00:24:12,119 --> 00:24:13,840 Speaker 2: progress in trade talks. 473 00:24:13,600 --> 00:24:15,560 Speaker 3: Principally between the US and China. 474 00:24:15,600 --> 00:24:17,840 Speaker 2: But then there are those single names, and Nvidia is 475 00:24:17,880 --> 00:24:20,480 Speaker 2: our main focus right now. In Vidia once again the 476 00:24:20,480 --> 00:24:23,879 Speaker 2: world's most valuable company, pushing to fresh record highs. But 477 00:24:24,200 --> 00:24:27,360 Speaker 2: now at three point eight five trillion dollars in market cap, 478 00:24:27,400 --> 00:24:30,120 Speaker 2: could this be the first four trillion dollar market cap company? 479 00:24:30,160 --> 00:24:32,399 Speaker 2: That's what we're looking for. We're up about one and 480 00:24:32,480 --> 00:24:34,200 Speaker 2: a half percent in the session. We need a gain 481 00:24:34,200 --> 00:24:37,080 Speaker 2: of almost six percent to get there. Maybe not today, 482 00:24:37,119 --> 00:24:39,560 Speaker 2: maybe in the coming weeks, but that would be the milestone, 483 00:24:39,640 --> 00:24:43,239 Speaker 2: the first four trillion dollar market cap company. There are 484 00:24:43,240 --> 00:24:45,199 Speaker 2: some other stories out there that we're paying attention to 485 00:24:45,320 --> 00:24:48,919 Speaker 2: that link AI and energy. One of them Palented it 486 00:24:48,960 --> 00:24:52,200 Speaker 2: wants to power up nuclear in America and it's teeming 487 00:24:52,280 --> 00:24:55,119 Speaker 2: up with the nuclear company to co develop and deploy 488 00:24:55,320 --> 00:24:59,520 Speaker 2: the first AI driven real time software system built exclusively 489 00:25:00,160 --> 00:25:02,800 Speaker 2: nuclear construction. I caught up with Palanties head of Defense 490 00:25:02,840 --> 00:25:05,960 Speaker 2: Mike Gallagher and the Uculear Company CEO Jonathan Webb to 491 00:25:06,040 --> 00:25:09,440 Speaker 2: discuss the significance of the partnership, but why NUCUIA is 492 00:25:09,480 --> 00:25:11,080 Speaker 2: a national security priority. 493 00:25:11,840 --> 00:25:14,199 Speaker 14: I think it is how we revitalize not just a 494 00:25:14,240 --> 00:25:17,320 Speaker 14: defense industrial base, but an American industrial base. 495 00:25:17,400 --> 00:25:18,359 Speaker 3: Right, if you think about it in. 496 00:25:18,440 --> 00:25:22,360 Speaker 14: Terms of our relative competition with our primary geo political threat, China, 497 00:25:22,440 --> 00:25:24,800 Speaker 14: we can't win merely by throwing more money and more 498 00:25:24,880 --> 00:25:26,960 Speaker 14: human beings at the problem. That's sort of a losing that. 499 00:25:27,200 --> 00:25:29,920 Speaker 14: We have to leverage our asymmetric advantage, which is innovation 500 00:25:30,400 --> 00:25:33,639 Speaker 14: and AI enabled software innovation. So applying that to the 501 00:25:33,760 --> 00:25:36,560 Speaker 14: entire American industrial base, I think is how we begin 502 00:25:36,560 --> 00:25:39,080 Speaker 14: to build things faster, more quickly. As Jonathan mentioned, it 503 00:25:39,080 --> 00:25:41,679 Speaker 14: shouldn't take over a decade to build a reactor in 504 00:25:41,680 --> 00:25:45,840 Speaker 14: this country. That's not just a consequence of over regulation, 505 00:25:45,920 --> 00:25:49,040 Speaker 14: though that is a key variable. It's about liberating the 506 00:25:49,119 --> 00:25:53,120 Speaker 14: human beings who are involved in producing these things day 507 00:25:53,160 --> 00:25:56,359 Speaker 14: to day to focus on their most important task rather 508 00:25:56,400 --> 00:25:59,480 Speaker 14: than trying to find a piece of paper somewhere or 509 00:25:59,480 --> 00:26:03,520 Speaker 14: an Excel spreadsheet. It's about allowing them to focus and 510 00:26:03,680 --> 00:26:06,639 Speaker 14: maximizing their productivity. That's what we're seeing with our deployment 511 00:26:06,640 --> 00:26:08,399 Speaker 14: of war speed in other spaces. That's what makes me 512 00:26:08,440 --> 00:26:11,280 Speaker 14: so bullish about this partnership. And that's ultimately again, how 513 00:26:11,320 --> 00:26:14,560 Speaker 14: we keep this country strong, secure and ahead of all 514 00:26:14,560 --> 00:26:16,040 Speaker 14: of our geopolitical rivals. 515 00:26:16,359 --> 00:26:19,960 Speaker 3: Yeah, indeed, think you please jump in please, Well. 516 00:26:19,760 --> 00:26:22,560 Speaker 15: What I would say is that this is this is 517 00:26:22,720 --> 00:26:25,800 Speaker 15: absolutely a national security concern and we should all be 518 00:26:25,920 --> 00:26:29,080 Speaker 15: deeply concerned that China in the next few years is 519 00:26:29,080 --> 00:26:33,399 Speaker 15: going to become the largest nuclear power producer on planet Earth. 520 00:26:33,680 --> 00:26:35,200 Speaker 3: They will pass the US for the. 521 00:26:35,119 --> 00:26:38,400 Speaker 15: First time since the history of nuclear power was invented. 522 00:26:38,760 --> 00:26:40,000 Speaker 3: This is unacceptable. 523 00:26:41,760 --> 00:26:43,960 Speaker 2: That was Palanted's head of Defense, Mike Gallagher, and the 524 00:26:44,040 --> 00:26:48,840 Speaker 2: Nuclear company CEO Jonathan Webb, an Israel based robotics startup 525 00:26:48,840 --> 00:26:52,640 Speaker 2: aiming to improve and expand access to crucial eye surgery, 526 00:26:52,840 --> 00:26:55,359 Speaker 2: has recently closed a one hundred and twenty five million 527 00:26:55,359 --> 00:26:59,280 Speaker 2: dollars Series B funding round. The company, for Sights Robotics, 528 00:26:59,480 --> 00:27:03,520 Speaker 2: says it's from us is AI based algorithms, advanced computer vision, 529 00:27:03,840 --> 00:27:07,960 Speaker 2: and micro mechanics to access any point within the human eye. 530 00:27:08,240 --> 00:27:11,160 Speaker 2: For PSITE, co founder, president and chief medical officer, doctor 531 00:27:11,240 --> 00:27:14,080 Speaker 2: Joseph Nathan joins us LIVE, I think up right in 532 00:27:14,200 --> 00:27:18,040 Speaker 2: saying that in the context of robotics history, this was 533 00:27:18,480 --> 00:27:21,160 Speaker 2: one of the top series bes of all time. It's 534 00:27:21,160 --> 00:27:23,960 Speaker 2: a significant sum of money. Let's start with what you're 535 00:27:23,960 --> 00:27:25,560 Speaker 2: going to do with that funding and what you need 536 00:27:25,600 --> 00:27:28,400 Speaker 2: to do to make progress right. 537 00:27:28,680 --> 00:27:30,680 Speaker 13: First of all, thank you for having me. It's fair 538 00:27:30,800 --> 00:27:31,240 Speaker 13: to be here. 539 00:27:32,280 --> 00:27:34,360 Speaker 16: What we're developing it forced that is you said, it's 540 00:27:34,400 --> 00:27:38,320 Speaker 16: a robotic platform to tackle one of the biggest needs 541 00:27:38,560 --> 00:27:42,080 Speaker 16: in medicine, which is the vision crisis. So currently today 542 00:27:42,160 --> 00:27:45,360 Speaker 16: we have over two billion people who are vision impaired 543 00:27:45,880 --> 00:27:49,879 Speaker 16: and that creates a yearly three trillion dollar economic burden. 544 00:27:49,960 --> 00:27:53,119 Speaker 16: And this crisis is mostly due to the lack of 545 00:27:53,160 --> 00:27:56,880 Speaker 16: surgeons to cater to this massive amount of patience and 546 00:27:57,119 --> 00:28:01,919 Speaker 16: the lack of quality of standard in I care. So 547 00:28:01,960 --> 00:28:05,560 Speaker 16: what we're doing at foresight, as you mentioned, we're taking 548 00:28:06,840 --> 00:28:11,960 Speaker 16: AI in our technologies to augment surgeons capabilities and have 549 00:28:12,160 --> 00:28:17,159 Speaker 16: them doing many more procedures in a very precise and 550 00:28:17,280 --> 00:28:20,000 Speaker 16: act right way. And we're starting with care ACT, which 551 00:28:20,000 --> 00:28:21,560 Speaker 16: is our first indication. 552 00:28:22,720 --> 00:28:25,520 Speaker 2: Does and Anathan, how big is the addressable market here? 553 00:28:27,280 --> 00:28:30,520 Speaker 16: So this is one of the biggest markets in medicine. 554 00:28:30,560 --> 00:28:34,119 Speaker 16: This is the most common precision of medicine. Care acts 555 00:28:34,200 --> 00:28:38,080 Speaker 16: is not. The disease is a widespread condition that happens 556 00:28:38,400 --> 00:28:43,360 Speaker 16: during age, so it will happen to everybody eventually, and 557 00:28:44,000 --> 00:28:46,840 Speaker 16: we just we don't keep up with the amount of 558 00:28:46,960 --> 00:28:50,320 Speaker 16: surgeries that needs to be done. So today, for example, 559 00:28:50,920 --> 00:28:54,240 Speaker 16: we can do globally thirty million procedures a year, but 560 00:28:54,240 --> 00:28:58,120 Speaker 16: there's over six hundred million patients needed. So there's really 561 00:28:58,160 --> 00:29:02,320 Speaker 16: no human way to this gap. And as you mentioned, 562 00:29:02,760 --> 00:29:05,640 Speaker 16: this is the largest, the second largest be round in 563 00:29:05,720 --> 00:29:09,120 Speaker 16: surgical robotics history, and this round is going to take 564 00:29:09,240 --> 00:29:15,640 Speaker 16: us from where we are today. So we did thirty 565 00:29:16,000 --> 00:29:20,080 Speaker 16: three hundred procedure and animal models and we're going to 566 00:29:20,160 --> 00:29:23,200 Speaker 16: do our first in human trials later this year, and 567 00:29:23,240 --> 00:29:27,360 Speaker 16: it's going to take us through regulatory approvals and early commercialization. 568 00:29:29,640 --> 00:29:34,000 Speaker 2: Doctor Nathan, you join us from Israel and we have 569 00:29:34,080 --> 00:29:37,920 Speaker 2: to address the events of the last few weeks. Would 570 00:29:37,960 --> 00:29:41,240 Speaker 2: you just reflect on what it's been like closing this 571 00:29:41,400 --> 00:29:43,760 Speaker 2: round but also just trying to build out the technology 572 00:29:44,200 --> 00:29:47,400 Speaker 2: in an environment where Israel is at war with Iran. 573 00:29:49,000 --> 00:29:50,800 Speaker 13: Yeah, you're definitely right. 574 00:29:51,280 --> 00:29:54,880 Speaker 16: There were usually, you know, there's volatility in the Middle East, 575 00:29:55,000 --> 00:29:59,360 Speaker 16: but this was different. We had ballistic missiles dropping from 576 00:29:59,400 --> 00:30:01,400 Speaker 16: the sky. We had, you know, to run with our 577 00:30:01,480 --> 00:30:06,840 Speaker 16: kids through the shelters. But there's in our spirit and 578 00:30:06,880 --> 00:30:11,600 Speaker 16: the Israeli spirit is that Israeli tech delivers no matter what, 579 00:30:12,400 --> 00:30:16,720 Speaker 16: and during missiles coming from the sky. We closed this 580 00:30:16,880 --> 00:30:19,880 Speaker 16: Bee round and you know, this company was started five 581 00:30:19,920 --> 00:30:23,280 Speaker 16: years ago during COVID, we went through a very big 582 00:30:23,280 --> 00:30:26,040 Speaker 16: economic recession, the war in Gaza, and now I ran. 583 00:30:26,840 --> 00:30:30,360 Speaker 16: So this vote of confidence by investors and also a 584 00:30:30,400 --> 00:30:34,280 Speaker 16: strategic partner that we joined to this round, it's truly 585 00:30:34,320 --> 00:30:37,840 Speaker 16: amazing and I think it's a testament to Israeli resilient 586 00:30:38,160 --> 00:30:44,400 Speaker 16: and our ability to get through hurdles. If it's you know, 587 00:30:44,520 --> 00:30:48,080 Speaker 16: uncertainty in the Middle East, it could be uncertainty during development. 588 00:30:48,160 --> 00:30:52,080 Speaker 16: We're developing a disruptive solution that's very hard to do. 589 00:30:52,440 --> 00:30:55,400 Speaker 16: So I'm very very proud of the team for you know. 590 00:30:55,480 --> 00:31:00,000 Speaker 2: And during this I ask you about the operational experience 591 00:31:00,160 --> 00:31:02,480 Speaker 2: ends of recent weeks because we also talked about the 592 00:31:02,480 --> 00:31:06,720 Speaker 2: addressable market. And it's likely right that that addressable market 593 00:31:06,800 --> 00:31:08,120 Speaker 2: is outside of Israel. 594 00:31:08,680 --> 00:31:11,320 Speaker 3: So is it the future of. 595 00:31:11,280 --> 00:31:14,720 Speaker 2: This company that you maintain your talent, pull your operations 596 00:31:14,760 --> 00:31:17,200 Speaker 2: in that country or you need to look at expanding 597 00:31:17,200 --> 00:31:19,280 Speaker 2: globally to capture that market. 598 00:31:20,360 --> 00:31:24,920 Speaker 16: Right, we are a global company. Our first target market 599 00:31:24,960 --> 00:31:27,400 Speaker 16: is the US. We're going to transition our operation to 600 00:31:27,440 --> 00:31:32,440 Speaker 16: the US. We are very privileged, as you said, to 601 00:31:32,640 --> 00:31:36,640 Speaker 16: be doing good and our addressable market, you know, people 602 00:31:36,720 --> 00:31:40,680 Speaker 16: have cataut regardless of their ethnicity to graph et cetera. 603 00:31:41,320 --> 00:31:44,400 Speaker 16: So our first target market is the US. We're going 604 00:31:44,400 --> 00:31:47,040 Speaker 16: to transition our operation there, but also to other places. 605 00:31:47,520 --> 00:31:50,160 Speaker 16: So you're definitely right, it's outside of the realms of Israel. 606 00:31:52,320 --> 00:31:54,560 Speaker 2: What I find so interesting about the technology is it 607 00:31:54,600 --> 00:31:59,200 Speaker 2: blends robotics hardware with software. What would you say is 608 00:31:59,200 --> 00:32:00,440 Speaker 2: your core company tens. 609 00:32:01,920 --> 00:32:03,280 Speaker 13: Well it's faced. 610 00:32:03,480 --> 00:32:05,840 Speaker 16: So you start with a lot of you know, building 611 00:32:06,000 --> 00:32:08,959 Speaker 16: very small mechanics and then you know, software is like 612 00:32:09,040 --> 00:32:13,080 Speaker 16: the brain takes over. So think about we're doing like, 613 00:32:13,480 --> 00:32:17,800 Speaker 16: you know, superhuman extension of you know, the surgeon hands 614 00:32:17,840 --> 00:32:22,480 Speaker 16: and arms coupled with best in class visualization and the 615 00:32:22,520 --> 00:32:26,320 Speaker 16: software brain that operates everything and gives the surgeons the 616 00:32:26,360 --> 00:32:30,520 Speaker 16: ability to be more precise and accurate in every case. 617 00:32:30,560 --> 00:32:33,360 Speaker 16: And what I when I try to explain what we're doing, 618 00:32:33,440 --> 00:32:37,000 Speaker 16: what we want to achieve. We want to transition to 619 00:32:37,040 --> 00:32:41,320 Speaker 16: transform the average surgeon to the Michael Jordan of surgeons. 620 00:32:41,600 --> 00:32:44,120 Speaker 16: But in every procedure, you know, regardless if it's the 621 00:32:44,160 --> 00:32:47,280 Speaker 16: first procedure of the day or the last procedure of 622 00:32:47,360 --> 00:32:47,640 Speaker 16: the day. 623 00:32:47,680 --> 00:32:49,240 Speaker 13: And that's really what it's all about. 624 00:32:50,880 --> 00:32:52,760 Speaker 2: I lost you again, what you plan to do with 625 00:32:52,800 --> 00:32:56,000 Speaker 2: the funding. There's a real premium on software talent in 626 00:32:56,000 --> 00:32:58,520 Speaker 2: particular right now, but across robotics. 627 00:32:59,840 --> 00:33:04,040 Speaker 16: Right so yeah, you know, we we were fortunate enough 628 00:33:04,080 --> 00:33:07,920 Speaker 16: to get and we have Nvidia is you know, our 629 00:33:07,960 --> 00:33:11,040 Speaker 16: neighbors and Facebook and Apple, so we're competing with the 630 00:33:11,200 --> 00:33:14,760 Speaker 16: you know, those companies on the best talent. What we 631 00:33:14,920 --> 00:33:20,000 Speaker 16: have is you know, the ability to give our team 632 00:33:20,040 --> 00:33:26,040 Speaker 16: member join a journey to transform the atomic market. So 633 00:33:26,120 --> 00:33:30,920 Speaker 16: currently there's you know, no robotics on the thomic market, 634 00:33:31,280 --> 00:33:36,200 Speaker 16: while other specialties have gained robotics for ten to fifteen years. 635 00:33:36,640 --> 00:33:38,880 Speaker 13: And this is because you know, we didn't. 636 00:33:38,720 --> 00:33:44,520 Speaker 16: Have the miniaturization, the surgy, the technological advancement that happened 637 00:33:44,520 --> 00:33:48,080 Speaker 16: over the last you know, maybe five years in order 638 00:33:48,160 --> 00:33:52,560 Speaker 16: to get a robotic platform doing such a precise micro 639 00:33:52,720 --> 00:33:57,800 Speaker 16: level movements. And when you're talking about computing power or software, 640 00:33:58,600 --> 00:34:03,000 Speaker 16: you know, the Nvidia of the world gave us the 641 00:34:03,040 --> 00:34:07,800 Speaker 16: ability to have this computer paper to control this micro 642 00:34:07,920 --> 00:34:08,719 Speaker 16: level precision. 643 00:34:08,840 --> 00:34:10,760 Speaker 13: So it's you know, interconnected here. 644 00:34:11,920 --> 00:34:15,200 Speaker 2: Doctor Joseph Nathan, co founder, president and chief medical officer 645 00:34:15,239 --> 00:34:19,480 Speaker 2: for ForSight Robotics, thank you, Okay. Coming up, former CFTC 646 00:34:19,520 --> 00:34:23,680 Speaker 2: Commissioner and newly appointed CEO of the Blockchain Association, Some 647 00:34:24,080 --> 00:34:27,640 Speaker 2: Mersinger joins us to talk about the push for crypto legislation. 648 00:34:28,320 --> 00:34:30,439 Speaker 3: As next this is Bloomberg Tech. 649 00:34:39,239 --> 00:34:42,480 Speaker 2: The House is expected to combine two crypto bills, the 650 00:34:42,600 --> 00:34:46,480 Speaker 2: Genius and Clarity Acts, as it aims to finalize regulation 651 00:34:46,560 --> 00:34:49,279 Speaker 2: the digital currencies in the US. For more, I want 652 00:34:49,280 --> 00:34:52,200 Speaker 2: to bring in summer Mersinger. She's a former commissioner at 653 00:34:52,239 --> 00:34:57,000 Speaker 2: the Commodity Futures Training Commission CFTC and the new CEO 654 00:34:57,440 --> 00:35:01,279 Speaker 2: of the Blockchain Association. Let's star with this latest news, right, 655 00:35:01,280 --> 00:35:03,880 Speaker 2: This is what Bloomberg put out last night yesterday evening 656 00:35:03,920 --> 00:35:07,919 Speaker 2: out of DC that the idea is to advance two 657 00:35:07,920 --> 00:35:10,919 Speaker 2: separate measures in a single procedural vote. 658 00:35:10,960 --> 00:35:13,040 Speaker 3: We actually had David Sacks the cryptos. 659 00:35:12,600 --> 00:35:14,759 Speaker 2: Are on the show a couple of weeks ago, where 660 00:35:14,760 --> 00:35:17,000 Speaker 2: we put this idea to him. What do you make 661 00:35:17,040 --> 00:35:19,600 Speaker 2: of that structure and the impact that it might have. 662 00:35:21,040 --> 00:35:23,480 Speaker 11: Yeah, it's important that they're able to bring the two 663 00:35:23,520 --> 00:35:27,520 Speaker 11: bills to the floor but also have them separate so 664 00:35:27,560 --> 00:35:30,239 Speaker 11: that the Genius Act can move on its own and 665 00:35:30,320 --> 00:35:33,040 Speaker 11: be signed into a law. I think the House is 666 00:35:33,160 --> 00:35:36,560 Speaker 11: very committed to having both stable coin legislation and market 667 00:35:36,600 --> 00:35:39,960 Speaker 11: structure legislation done before the August recess. This allows them 668 00:35:39,960 --> 00:35:43,279 Speaker 11: to do that while also preeing up Genius to move 669 00:35:43,880 --> 00:35:46,840 Speaker 11: to a Drugly to the President. 670 00:35:48,680 --> 00:35:53,120 Speaker 2: How consequential is the movement of these two pieces of 671 00:35:53,200 --> 00:35:56,560 Speaker 2: legislation combined as one. In sort of the history of 672 00:35:56,600 --> 00:35:59,839 Speaker 2: how crypto and the crypto industry and the underlying technology 673 00:36:00,480 --> 00:36:02,520 Speaker 2: has built up in this country and around the world. 674 00:36:02,600 --> 00:36:06,480 Speaker 11: Frankly, yeah, this is a pivotal moment, and I think 675 00:36:06,520 --> 00:36:10,479 Speaker 11: it's pretty historic where we are. We have two very 676 00:36:10,520 --> 00:36:14,160 Speaker 11: important pieces of legislation moving through Congress at the same 677 00:36:14,239 --> 00:36:18,560 Speaker 11: time that will have enormous impact on how this technology 678 00:36:19,160 --> 00:36:22,160 Speaker 11: and the businesses that have layered on it, how they 679 00:36:22,200 --> 00:36:27,239 Speaker 11: are regulated. It's rare that Congress has two pieces of 680 00:36:27,320 --> 00:36:31,480 Speaker 11: legislation in the same industry moving at the same time. 681 00:36:31,920 --> 00:36:34,840 Speaker 11: So I think that is historic in and of itself. 682 00:36:35,239 --> 00:36:38,319 Speaker 11: But given how far the industry has come, just you know, 683 00:36:38,400 --> 00:36:43,360 Speaker 11: a few years ago, they were facing enforcement, lack of clarity, 684 00:36:43,840 --> 00:36:47,319 Speaker 11: almost a hostile regulatory environment. And now we have a 685 00:36:47,600 --> 00:36:50,480 Speaker 11: crypto administration of pro crypto Congress, and we're going to 686 00:36:50,520 --> 00:36:53,920 Speaker 11: see major legislation put into place that will provide a 687 00:36:53,920 --> 00:36:55,320 Speaker 11: framework for this industry. 688 00:36:56,239 --> 00:36:58,440 Speaker 3: You say, a hostile regulatory environment. 689 00:36:58,640 --> 00:37:02,040 Speaker 2: Does the content of these two bills provide the sort 690 00:37:02,080 --> 00:37:07,719 Speaker 2: of safeguards and ethical safety net that many in the 691 00:37:07,760 --> 00:37:11,560 Speaker 2: industry and Democrats also were calling for in the writing 692 00:37:11,640 --> 00:37:13,240 Speaker 2: of it. 693 00:37:13,239 --> 00:37:16,960 Speaker 11: It does, and it provides a framework for the industry 694 00:37:17,000 --> 00:37:20,399 Speaker 11: to abide by regulations. I think, you know, previously they 695 00:37:20,440 --> 00:37:23,400 Speaker 11: were trying to be regulated. They wanted to be regulated. 696 00:37:23,440 --> 00:37:26,000 Speaker 11: They were trying to walk in the door of the 697 00:37:26,080 --> 00:37:28,760 Speaker 11: regulators to say what can we do to follow rules, 698 00:37:29,160 --> 00:37:32,439 Speaker 11: and they were being met with enforcement cases. Now they're 699 00:37:32,480 --> 00:37:35,239 Speaker 11: going to have a framework they can follow so they 700 00:37:35,280 --> 00:37:38,560 Speaker 11: can come under the regulatory sphere. That's both very helpful 701 00:37:38,560 --> 00:37:41,319 Speaker 11: for the industry because that provides a certainty they need 702 00:37:41,360 --> 00:37:43,920 Speaker 11: to continue to be the innovators that they are, but 703 00:37:44,000 --> 00:37:46,640 Speaker 11: it also gives a lot of safeguards to those who 704 00:37:46,719 --> 00:37:49,480 Speaker 11: want to be in this market, to retail participants of 705 00:37:49,560 --> 00:37:52,480 Speaker 11: those who are buying and selling crypto. Those safeguards are 706 00:37:52,480 --> 00:37:56,160 Speaker 11: missing right now, and this framework will provide safeguards. 707 00:37:57,160 --> 00:37:59,799 Speaker 2: Some of what the industry keeps telling me, what your 708 00:38:00,000 --> 00:38:03,760 Speaker 2: association members keep telling me, is this is about dollarization. 709 00:38:04,520 --> 00:38:05,920 Speaker 3: Do you share that thesis? 710 00:38:07,520 --> 00:38:07,759 Speaker 13: Yeah. 711 00:38:07,840 --> 00:38:11,319 Speaker 11: For stable coins, for sure, it's very important that we 712 00:38:11,560 --> 00:38:15,880 Speaker 11: have the stable coin legislation. There's a lot of, you know, 713 00:38:16,440 --> 00:38:20,560 Speaker 11: national security interest in having stable coin regime here in 714 00:38:20,600 --> 00:38:23,360 Speaker 11: the United States, making sure the US dollar is the 715 00:38:23,440 --> 00:38:28,080 Speaker 11: backing for stable coins, and to continue to have the 716 00:38:28,160 --> 00:38:32,840 Speaker 11: US be the kind of the first place where stable 717 00:38:32,840 --> 00:38:35,480 Speaker 11: coin issuers want to go and want to use the 718 00:38:35,600 --> 00:38:39,360 Speaker 11: US dollar as their currency backing for those coins. 719 00:38:40,680 --> 00:38:43,120 Speaker 2: I think what many of our audience might appreciate, Like 720 00:38:43,880 --> 00:38:46,080 Speaker 2: many people, they don't know what a stable coin is, 721 00:38:46,120 --> 00:38:48,640 Speaker 2: what its function is, how the utility of it to 722 00:38:48,760 --> 00:38:53,239 Speaker 2: everyday financial procedures. Do you have an explanation of that 723 00:38:53,360 --> 00:38:55,200 Speaker 2: for the layperson that's watching right now. 724 00:38:56,480 --> 00:39:00,200 Speaker 11: Yeah, it's another way to move funds electronically. And you know, 725 00:39:00,239 --> 00:39:02,399 Speaker 11: I think for a lot of people in their mind 726 00:39:02,480 --> 00:39:05,320 Speaker 11: right now, when you move funds electronically, it takes time. 727 00:39:05,840 --> 00:39:06,960 Speaker 9: It's not immediate