1 00:00:02,400 --> 00:00:08,960 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news from. 2 00:00:08,800 --> 00:00:13,800 Speaker 2: The Heart where Innovation, money and power. Collie in Silicon Valley, Nbon. 3 00:00:14,160 --> 00:00:31,800 Speaker 3: This is Bloomberg Technology with Caroline Hyde and Ed Ludlow 4 00:00:31,800 --> 00:00:32,639 Speaker 3: live from New York. 5 00:00:32,680 --> 00:00:35,640 Speaker 2: I'm Tim Steneveeck in for Caroline Hyde. This is Bloomberg 6 00:00:35,680 --> 00:00:39,880 Speaker 2: Technology coming up. Cloud nine. Broadcom up around twenty percent, 7 00:00:40,040 --> 00:00:42,240 Speaker 2: soaring the most going all the way back to twenty 8 00:00:42,320 --> 00:00:45,840 Speaker 2: twenty and topping one trillion dollars in valuation after posting 9 00:00:45,880 --> 00:00:49,360 Speaker 2: it better than expected results. Plus Jeff Bezos looks to 10 00:00:49,479 --> 00:00:52,360 Speaker 2: President Elect Trump to help with his space ambitions against 11 00:00:52,479 --> 00:00:56,760 Speaker 2: yes Elon Musk and San Francisco's incoming mayor Daniel Lurie 12 00:00:56,880 --> 00:00:59,240 Speaker 2: certainly wants to take advantage of the AI boom for 13 00:00:59,280 --> 00:01:01,720 Speaker 2: the revival of the city, but for him it's more 14 00:01:01,880 --> 00:01:05,440 Speaker 2: than just AI. More on that later this hour. First off, though, 15 00:01:05,520 --> 00:01:08,400 Speaker 2: let's get a check on it Broadcom with Bloomberg's abigailty 16 00:01:08,400 --> 00:01:09,080 Speaker 2: Do a little Hey I we. 17 00:01:09,080 --> 00:01:11,479 Speaker 4: Go, Hey Tim, Yeah, this is a really impressive rally. 18 00:01:11,480 --> 00:01:14,000 Speaker 4: Take a look at the shares of Broadcom, up about 19 00:01:14,080 --> 00:01:16,760 Speaker 4: nineteen percent on the day right near session hives. This 20 00:01:16,800 --> 00:01:18,559 Speaker 4: is a two day chart so that you can really 21 00:01:18,560 --> 00:01:21,679 Speaker 4: see today's spike HIRER. That tells you that investors were 22 00:01:21,680 --> 00:01:24,920 Speaker 4: surprised by the degree of the positivity. 23 00:01:24,240 --> 00:01:25,039 Speaker 2: Coming out of the quarter. 24 00:01:25,080 --> 00:01:27,399 Speaker 4: Now, the quarter they reported was sort of mixed, but 25 00:01:27,480 --> 00:01:31,039 Speaker 4: what investors love it's all about AI. They are saying 26 00:01:31,680 --> 00:01:35,320 Speaker 4: that they can grow AI, their AI part of the 27 00:01:35,360 --> 00:01:38,600 Speaker 4: business in the first quarter by sixty five percent. They're 28 00:01:38,640 --> 00:01:41,080 Speaker 4: also saying by twenty twenty seven, they see that the 29 00:01:41,120 --> 00:01:45,080 Speaker 4: AI components market could be ninety billion dollars. So investors 30 00:01:45,080 --> 00:01:47,480 Speaker 4: absolutely loving this. But this is not the only positive 31 00:01:47,560 --> 00:01:50,760 Speaker 4: day for Broadcom this year. Let's put Broadcom in context 32 00:01:50,840 --> 00:01:53,920 Speaker 4: of one of the most well known AI chip companies, 33 00:01:53,960 --> 00:01:55,640 Speaker 4: and that of course is in Vidia, and then the 34 00:01:55,920 --> 00:01:59,800 Speaker 4: SMP five hundred, excuse me, the socks that chips over 35 00:02:00,080 --> 00:02:02,880 Speaker 4: all index just to see, and here's Broadcom's big spike 36 00:02:03,080 --> 00:02:05,840 Speaker 4: record high today. I think tim based on my work 37 00:02:05,840 --> 00:02:07,600 Speaker 4: in the Bloomberg, I think it may actually be the 38 00:02:07,640 --> 00:02:10,040 Speaker 4: best day ever going back to two thousand and nine, 39 00:02:10,080 --> 00:02:12,200 Speaker 4: and it is trading at a record high. There's NVIDI 40 00:02:12,280 --> 00:02:15,000 Speaker 4: and there's the SMT five hundred. Not so shabby for 41 00:02:15,240 --> 00:02:18,440 Speaker 4: Broadcom this year at all. Today a big piece of 42 00:02:18,440 --> 00:02:18,800 Speaker 4: the rally. 43 00:02:18,919 --> 00:02:20,960 Speaker 2: Yeah, you're right, most since going all the way back 44 00:02:21,000 --> 00:02:22,839 Speaker 2: to two thousand and nine. Thanks so much, Av Gail 45 00:02:22,840 --> 00:02:25,119 Speaker 2: do a little appreciate that. Let's get a deeper dive 46 00:02:25,120 --> 00:02:28,720 Speaker 2: into Broadcom with Kun John Sabani of Bloomberg Intelligence. Kuonjohn, 47 00:02:28,960 --> 00:02:31,640 Speaker 2: you joined us live on a Bloomberg BusinessWeek just yesterday. 48 00:02:31,639 --> 00:02:35,280 Speaker 2: As Broadcom's numbers broke, shares bounced around up two percent 49 00:02:35,840 --> 00:02:38,640 Speaker 2: even when negative. What happened on the earnings call that 50 00:02:38,720 --> 00:02:41,919 Speaker 2: gave investors the conviction to send shares hired by twenty percent, 51 00:02:42,000 --> 00:02:44,520 Speaker 2: giving Broadcom a market cap of a trillion dollars for 52 00:02:44,600 --> 00:02:45,320 Speaker 2: the first time ever. 53 00:02:46,760 --> 00:02:49,520 Speaker 5: Yeah, it was really that massive sixty to ninety billion 54 00:02:50,000 --> 00:02:52,880 Speaker 5: sam by twenty twenty seven, just across three of its 55 00:02:52,960 --> 00:02:56,360 Speaker 5: largest hyper sale customers. That's about three to four times 56 00:02:56,360 --> 00:02:58,760 Speaker 5: fold growth in over the three years. So what it 57 00:02:58,800 --> 00:03:02,120 Speaker 5: did is give investors there is a clear, quantifiable target 58 00:03:02,240 --> 00:03:04,840 Speaker 5: to focus on over the next three years instead of 59 00:03:04,880 --> 00:03:07,560 Speaker 5: constantly worrying about the near term. How's the next water 60 00:03:07,680 --> 00:03:09,320 Speaker 5: going to look like? How's the next year going to 61 00:03:09,360 --> 00:03:09,680 Speaker 5: look like? 62 00:03:10,360 --> 00:03:13,280 Speaker 2: Kunjohn. Ai revenue grew two hundred and twenty percent during 63 00:03:13,320 --> 00:03:16,000 Speaker 2: the year. It was fueled by demand for processors and 64 00:03:16,080 --> 00:03:20,080 Speaker 2: networking components. Hottan said that on the call, demand for 65 00:03:20,160 --> 00:03:23,080 Speaker 2: non AI chips, though we'll be down in the first quarter, 66 00:03:24,520 --> 00:03:28,239 Speaker 2: our investors should investors just kind of right off non 67 00:03:28,280 --> 00:03:29,400 Speaker 2: AI chips at this point. 68 00:03:30,520 --> 00:03:33,200 Speaker 5: At this point they should, especially given the growth rates 69 00:03:33,240 --> 00:03:35,480 Speaker 5: he is given for the AI business. I mean, look, 70 00:03:35,560 --> 00:03:37,680 Speaker 5: the AI business is going to grow to be the 71 00:03:37,680 --> 00:03:40,320 Speaker 5: majority of portion. I think the non AI business right 72 00:03:40,320 --> 00:03:43,200 Speaker 5: now sort of twenty percent of that will continue even 73 00:03:43,280 --> 00:03:46,480 Speaker 5: shrinking down. So if we didn't have those massive temps, yes, 74 00:03:46,520 --> 00:03:49,280 Speaker 5: people would have looked at what's happened in wireless, what's 75 00:03:49,280 --> 00:03:52,320 Speaker 5: happening with software, what's happening in one que slowing down? 76 00:03:52,360 --> 00:03:54,480 Speaker 5: But at this point all of those worries are out 77 00:03:54,520 --> 00:03:54,920 Speaker 5: the window. 78 00:03:55,360 --> 00:03:58,320 Speaker 2: Kun John Sabani of Bloomberg Intelligence out there in San Francisco, 79 00:03:58,360 --> 00:04:00,760 Speaker 2: thanks so much from more on broad in the company's 80 00:04:00,800 --> 00:04:03,000 Speaker 2: nearly one hundred percent rallies so far this year. We're 81 00:04:03,080 --> 00:04:06,040 Speaker 2: joined by Bloomberg's Ian King Ian. One of the ways 82 00:04:06,080 --> 00:04:08,760 Speaker 2: that hog ten has been able to build Broadcom into 83 00:04:08,800 --> 00:04:10,840 Speaker 2: one of the most valuable companies in the chip industry 84 00:04:10,920 --> 00:04:15,160 Speaker 2: is through acquisitions. Does this trend continue? I mean, he 85 00:04:15,280 --> 00:04:16,200 Speaker 2: was asked about that. 86 00:04:16,279 --> 00:04:18,320 Speaker 6: He said he was asked, look, hey, Hawk, you've got 87 00:04:18,320 --> 00:04:20,599 Speaker 6: a lot of cash. Does that mean you're getting ready 88 00:04:20,640 --> 00:04:22,440 Speaker 6: to do another big one? And they said no, no, 89 00:04:22,440 --> 00:04:25,120 Speaker 6: we're going to focus on bringing down our debt. But 90 00:04:25,200 --> 00:04:27,440 Speaker 6: then later on in Nicoll he was asked, well, does 91 00:04:27,480 --> 00:04:31,200 Speaker 6: this mean your your strategy of making acquisitions is the 92 00:04:31,200 --> 00:04:32,680 Speaker 6: thing of the past, that you're going to focus on 93 00:04:32,839 --> 00:04:34,680 Speaker 6: organic growth in AI And he was like, oh no, 94 00:04:34,839 --> 00:04:37,520 Speaker 6: we're still looking so kind of beast message there. 95 00:04:37,680 --> 00:04:40,000 Speaker 2: Okay, So what kind of companies have they acquired in 96 00:04:40,000 --> 00:04:42,760 Speaker 2: the past and what kind of companies could potentially be 97 00:04:42,880 --> 00:04:43,559 Speaker 2: on their radar? 98 00:04:44,400 --> 00:04:47,640 Speaker 6: Yeah, I mean they've they've gone through the whole Panoplio 99 00:04:47,720 --> 00:04:51,039 Speaker 6: that they started off in semiconduct has he acquires what 100 00:04:51,080 --> 00:04:55,400 Speaker 6: he calls franchises. These are really sort of long standing, 101 00:04:55,480 --> 00:04:58,040 Speaker 6: important parts of the industry that he believes are kind 102 00:04:58,040 --> 00:05:00,920 Speaker 6: of undervalued, and then he kind of strips out, makes 103 00:05:00,960 --> 00:05:03,640 Speaker 6: them sort of lean and mean again, and that's been 104 00:05:03,640 --> 00:05:06,920 Speaker 6: a really successful policy. And then he took that strategy 105 00:05:07,120 --> 00:05:09,920 Speaker 6: and spun it into software and most recently he went 106 00:05:10,000 --> 00:05:12,960 Speaker 6: for VMware. And what he's going to do next, who knows. 107 00:05:13,000 --> 00:05:17,200 Speaker 6: He said he's open to software and semiconductor. Obviously, all 108 00:05:17,240 --> 00:05:20,040 Speaker 6: eyes are on Intel right now and whether this is 109 00:05:20,080 --> 00:05:22,440 Speaker 6: something which might figure into his calculations. 110 00:05:22,560 --> 00:05:25,040 Speaker 2: Okay, well that's a perfect segue. Let's go to Intel 111 00:05:25,440 --> 00:05:28,080 Speaker 2: right now, because CFO Dave Disner said that a formal 112 00:05:28,080 --> 00:05:31,680 Speaker 2: separation of the company's factory and product development divisions is 113 00:05:31,680 --> 00:05:35,320 Speaker 2: an open question. It'll be decided by the next leader 114 00:05:35,920 --> 00:05:40,440 Speaker 2: of the company. Ian I thought that this had been 115 00:05:40,520 --> 00:05:42,479 Speaker 2: kind of put to bed and Intel was going to 116 00:05:42,520 --> 00:05:46,120 Speaker 2: stay the type of company that it's been for over 117 00:05:46,120 --> 00:05:48,680 Speaker 2: the last couple of years. What's the latest time in it. 118 00:05:49,680 --> 00:05:52,520 Speaker 6: Yeah, No, it had been put to bed by Pat Gelsinger. 119 00:05:52,600 --> 00:05:55,760 Speaker 6: Unfortunately for him, he's not in that job anymore. Right, 120 00:05:55,800 --> 00:05:58,479 Speaker 6: he's not in a position to say he said, stronger together, 121 00:05:58,560 --> 00:06:03,800 Speaker 6: better together. One of the co CEO replacements, Michelle Johnson 122 00:06:03,880 --> 00:06:06,880 Speaker 6: hold House, who was on stage as well, said yeah, no, yeah, 123 00:06:06,880 --> 00:06:10,320 Speaker 6: we think we're matched together. But both her and Dave's instner, 124 00:06:10,400 --> 00:06:13,560 Speaker 6: the CFO and COCO said yeah, but you know, it's 125 00:06:13,600 --> 00:06:16,480 Speaker 6: not our call. We'll see what happens, And that, really, 126 00:06:16,520 --> 00:06:19,680 Speaker 6: I guess in Wall Street's minds kind of opened the 127 00:06:19,720 --> 00:06:23,039 Speaker 6: door to this being a much more firm possibility. 128 00:06:23,120 --> 00:06:25,440 Speaker 2: Okay, So what part of the company could be spun off? 129 00:06:25,520 --> 00:06:28,120 Speaker 2: Where could that company go? Would it be a public company, 130 00:06:28,400 --> 00:06:31,240 Speaker 2: would Broadcom be interested in part of the company? What 131 00:06:31,279 --> 00:06:32,800 Speaker 2: do you see? Yeah? 132 00:06:32,839 --> 00:06:36,120 Speaker 6: I mean, the focus was on what happens to the 133 00:06:36,120 --> 00:06:39,039 Speaker 6: product side of the company and the manufacturing side of 134 00:06:39,040 --> 00:06:44,400 Speaker 6: the company, that perhaps these two entities become something separate. Frankly, 135 00:06:44,440 --> 00:06:47,360 Speaker 6: the manufacturing side right now is piling on the losses. 136 00:06:47,960 --> 00:06:50,400 Speaker 6: It's really not in a financial position that would make 137 00:06:50,720 --> 00:06:53,919 Speaker 6: an IPO even a vague possibility right now and probably 138 00:06:53,960 --> 00:06:56,599 Speaker 6: not for you know, a matter of years while it 139 00:06:56,640 --> 00:06:59,479 Speaker 6: tries to build up its presence with outside customers. That's 140 00:06:59,520 --> 00:07:02,480 Speaker 6: not really an option. That would have to be new ownership, 141 00:07:02,560 --> 00:07:05,680 Speaker 6: new ownership with very deep pockets. Whether that's Broadcom or 142 00:07:05,680 --> 00:07:08,880 Speaker 6: anybody else, we don't know. The product side is arguably 143 00:07:08,920 --> 00:07:11,560 Speaker 6: a bit more healthy, particularly in PCs. It might be 144 00:07:11,600 --> 00:07:14,840 Speaker 6: something that somebody like Qualcom or Broadcom might. 145 00:07:14,760 --> 00:07:18,720 Speaker 2: See a useful Okay, well, certainly, busy days ahead for 146 00:07:18,840 --> 00:07:20,640 Speaker 2: Ian King and for all of us. Ian King certainly 147 00:07:20,640 --> 00:07:23,400 Speaker 2: appreciate you joining us. Thanks so much. Let's continue the 148 00:07:23,440 --> 00:07:26,960 Speaker 2: conversation with epac Oscar Deshkai, a senior analyst over at 149 00:07:26,960 --> 00:07:30,200 Speaker 2: Swiss Code. It's a banking group specializing in providing online 150 00:07:30,200 --> 00:07:34,120 Speaker 2: financial and trading services. EPEC record highs for Broadcom, our 151 00:07:34,160 --> 00:07:37,640 Speaker 2: Bel Technology, and this week for meta platforms, Apple, Alphabet, Tesla, 152 00:07:38,000 --> 00:07:40,840 Speaker 2: the names continue. What inning are we in in your 153 00:07:40,920 --> 00:07:43,400 Speaker 2: view when it comes to this megacap tech bull. 154 00:07:43,280 --> 00:07:48,120 Speaker 7: Run, Well, absolutely well, good news keep coming in and 155 00:07:48,320 --> 00:07:52,080 Speaker 7: they actually fund this rally and extend. Really they do 156 00:07:52,360 --> 00:07:55,880 Speaker 7: justify the extension of the rally for Broadcom, for example, Well, 157 00:07:55,960 --> 00:08:00,440 Speaker 7: they actually announce a revenue growth for the AI business 158 00:08:00,520 --> 00:08:03,320 Speaker 7: of two hundred and twenty percent. They are looking for 159 00:08:03,440 --> 00:08:06,040 Speaker 7: sixty five percent growth in their revenue in the first quartum. 160 00:08:06,080 --> 00:08:08,320 Speaker 7: Those are the big, big numbers that we are used 161 00:08:08,360 --> 00:08:12,360 Speaker 7: to that we like, especially in the AI and technology stock. 162 00:08:12,480 --> 00:08:16,320 Speaker 7: So that's actually giving a boost to the companies and 163 00:08:16,360 --> 00:08:17,280 Speaker 7: to Com today. 164 00:08:17,320 --> 00:08:18,960 Speaker 8: Well, we are also. 165 00:08:18,760 --> 00:08:23,720 Speaker 7: Very much impressed by cooms projection of a boom in 166 00:08:23,960 --> 00:08:28,800 Speaker 7: their AI business, especially the custom AI chips in the 167 00:08:28,840 --> 00:08:32,200 Speaker 7: next few years. That actually fits exactly right in the 168 00:08:32,240 --> 00:08:36,840 Speaker 7: middle of this narrative that's unfolding right now that the 169 00:08:36,920 --> 00:08:41,040 Speaker 7: big technology companies are actually building their own chips, so 170 00:08:41,400 --> 00:08:43,840 Speaker 7: that means that they are going to be users and 171 00:08:43,880 --> 00:08:46,320 Speaker 7: they're going to be winners. So we expect to see 172 00:08:46,440 --> 00:08:51,360 Speaker 7: still a little change of the scenery when twenty twenty 173 00:08:51,400 --> 00:08:52,120 Speaker 7: five begins. 174 00:08:52,200 --> 00:08:54,040 Speaker 2: Okay, you mentioned there will be winners and there will 175 00:08:54,080 --> 00:08:56,200 Speaker 2: be losers. Let's start with the losers. Who are they 176 00:08:56,200 --> 00:08:56,560 Speaker 2: going to be? 177 00:08:58,000 --> 00:09:01,080 Speaker 7: I mean, I don't want to say losers. Nvidia is 178 00:09:01,120 --> 00:09:04,679 Speaker 7: not smiling today, and they are right because we are 179 00:09:04,800 --> 00:09:08,520 Speaker 7: now in this narrative of big technology companies, which actually 180 00:09:08,520 --> 00:09:12,240 Speaker 7: made up to fifty percent of its revenue last quarter, 181 00:09:12,440 --> 00:09:15,560 Speaker 7: trying to build their own chips. So we're talking about 182 00:09:15,640 --> 00:09:18,920 Speaker 7: Amazon with their Trainium chips. Google came out with his 183 00:09:19,040 --> 00:09:21,920 Speaker 7: own I mean, everybody is up now building their own 184 00:09:21,960 --> 00:09:26,559 Speaker 7: chips in order to well cost efficient for cost efficiency reason. 185 00:09:26,679 --> 00:09:30,800 Speaker 7: So this means that Nvidia will have to replace these 186 00:09:30,840 --> 00:09:34,360 Speaker 7: big technology companies by other customers. Now, we know that 187 00:09:34,440 --> 00:09:37,480 Speaker 7: Jensen one didn't look worried at all up until now, 188 00:09:37,520 --> 00:09:38,640 Speaker 7: but that's still a fly. 189 00:09:39,280 --> 00:09:42,319 Speaker 2: So are you saying that that folks who have ridden 190 00:09:42,360 --> 00:09:46,160 Speaker 2: this high for Nvidia should be thinking about getting out 191 00:09:46,200 --> 00:09:46,880 Speaker 2: at some point soon. 192 00:09:48,320 --> 00:09:51,000 Speaker 7: Well, I want to say that right now, because these 193 00:09:51,000 --> 00:09:54,800 Speaker 7: worries of big technology companies that will start slowing their 194 00:09:54,880 --> 00:09:58,320 Speaker 7: spending has not materialized just yet, because earlier this week 195 00:09:58,520 --> 00:10:03,040 Speaker 7: we had TSM sales numbers for November and they actually 196 00:10:03,080 --> 00:10:06,520 Speaker 7: announced a thirty four percent growth in their sales in November, 197 00:10:06,600 --> 00:10:10,760 Speaker 7: which actually continues to back this narrative of robust AI 198 00:10:10,880 --> 00:10:13,920 Speaker 7: demand for Nvidia's chips. But it is a certainty that 199 00:10:13,960 --> 00:10:17,520 Speaker 7: this high concentration of big technology companies in their client 200 00:10:17,559 --> 00:10:19,480 Speaker 7: book is something to be watched. 201 00:10:19,559 --> 00:10:21,760 Speaker 2: Okay, we know you've mentioned in video and not a 202 00:10:21,800 --> 00:10:25,120 Speaker 2: company that should be smiling today Broadcom certainly one that is, 203 00:10:25,360 --> 00:10:27,800 Speaker 2: what are the other names that you're bullish on going 204 00:10:27,800 --> 00:10:28,800 Speaker 2: into twenty twenty five. 205 00:10:29,640 --> 00:10:32,520 Speaker 7: Well, AMD is not smiling today, But we actually like 206 00:10:32,640 --> 00:10:36,160 Speaker 7: AMD for one particular reason, and is the fact that 207 00:10:36,280 --> 00:10:41,640 Speaker 7: AMD proposes cost efficient and more affordable but as efficient 208 00:10:41,960 --> 00:10:45,480 Speaker 7: as efficient, very efficient chips and that could actually be 209 00:10:45,520 --> 00:10:49,319 Speaker 7: interesting for those sectors and companies who do not necessarily 210 00:10:49,360 --> 00:10:52,079 Speaker 7: want the most premium chips out there, but who want 211 00:10:52,240 --> 00:10:54,959 Speaker 7: good chips sale for you know, doing their day to 212 00:10:55,040 --> 00:10:58,560 Speaker 7: day task with AI. And that's going to be very interesting. 213 00:10:58,600 --> 00:11:00,680 Speaker 7: We think that there is an opportune to window for 214 00:11:00,800 --> 00:11:05,480 Speaker 7: AMD to get into this race more seriously and well, 215 00:11:05,800 --> 00:11:09,360 Speaker 7: question the the NVIDIAs or eat a part of mvda's 216 00:11:09,440 --> 00:11:10,760 Speaker 7: cake in the coming years. 217 00:11:10,840 --> 00:11:13,080 Speaker 2: A lot of the exuberance around AI has certainly focused 218 00:11:13,080 --> 00:11:15,439 Speaker 2: on the chip companies, but what if we move beyond 219 00:11:15,440 --> 00:11:17,960 Speaker 2: those chip companies. Who else do you see as winners 220 00:11:18,120 --> 00:11:19,440 Speaker 2: when it comes to this boom and AI. 221 00:11:20,720 --> 00:11:23,800 Speaker 7: Well, actually we see, for example, well we see all 222 00:11:23,800 --> 00:11:26,120 Speaker 7: the clients as winners because they are going to get 223 00:11:26,200 --> 00:11:31,120 Speaker 7: an important part of their important efficiency and cost efficiencies 224 00:11:31,160 --> 00:11:33,360 Speaker 7: in this process. So this is obviously one thing, and 225 00:11:33,360 --> 00:11:36,040 Speaker 7: this is why this whole thing is happening. But we're 226 00:11:36,040 --> 00:11:39,080 Speaker 7: also looking very closely to what's happening in the energy sector, 227 00:11:39,120 --> 00:11:42,480 Speaker 7: and we think that the nuclear power providers are going 228 00:11:42,520 --> 00:11:44,880 Speaker 7: to be in a good position to benefit from the 229 00:11:45,160 --> 00:11:47,680 Speaker 7: ar really, given that it is clear right now that 230 00:11:47,760 --> 00:11:50,760 Speaker 7: the alternative energy sources like wind and solar are not 231 00:11:50,800 --> 00:11:56,079 Speaker 7: going to offer the enough scalability actually for satisfying all 232 00:11:56,080 --> 00:11:58,440 Speaker 7: these exponentially arising energy demands. 233 00:11:58,679 --> 00:12:02,440 Speaker 2: Nuclear power so little intensive to develop, especially here in 234 00:12:02,440 --> 00:12:05,479 Speaker 2: the United States, We've only had a couple new generators 235 00:12:05,480 --> 00:12:08,440 Speaker 2: come online over the last couple of decades. Who do 236 00:12:08,480 --> 00:12:11,199 Speaker 2: you think can pull this off in the next few 237 00:12:11,280 --> 00:12:13,560 Speaker 2: years or are we talking like a generational shift here. 238 00:12:14,520 --> 00:12:17,600 Speaker 7: Well, yes, you're right. It has been controversial as well, 239 00:12:17,679 --> 00:12:19,480 Speaker 7: so it's here in Europe as well. We have been 240 00:12:19,600 --> 00:12:22,560 Speaker 7: closing the nuclear plans and not to the contrary. But 241 00:12:22,960 --> 00:12:26,160 Speaker 7: this year we have started seeing the mentality change a 242 00:12:26,160 --> 00:12:30,240 Speaker 7: little bit, especially when big technology companies started announcing that 243 00:12:30,320 --> 00:12:33,360 Speaker 7: they are going to be interested in using nuclear power 244 00:12:33,760 --> 00:12:38,280 Speaker 7: instead of while using fossil fuel or fossil well, actually, 245 00:12:38,440 --> 00:12:40,680 Speaker 7: excell as, it was saying that they are going to 246 00:12:40,720 --> 00:12:45,600 Speaker 7: offer gas for gas powered plans to big technology companies 247 00:12:45,679 --> 00:12:49,840 Speaker 7: that's going to be built in half time, like in 248 00:12:49,960 --> 00:12:53,040 Speaker 7: five years, and they're going to offer these companies and 249 00:12:53,160 --> 00:12:57,600 Speaker 7: after good energy source. But at the end of the day, 250 00:12:57,640 --> 00:13:01,800 Speaker 7: when we are talking about tackling climate change and offering 251 00:13:01,920 --> 00:13:06,240 Speaker 7: an alternative and clean energy source, well, today nuclear looks 252 00:13:06,320 --> 00:13:10,440 Speaker 7: like the only plausable option that could satisfy our increasing 253 00:13:10,600 --> 00:13:12,400 Speaker 7: and exponentially increasing needs. 254 00:13:12,800 --> 00:13:16,080 Speaker 2: May pec Oscar Deshkaia, senior analyst at Swiss Quote joining 255 00:13:16,200 --> 00:13:18,400 Speaker 2: us from Geneva, thanks for standing up late for us. 256 00:13:18,440 --> 00:13:29,800 Speaker 2: Do appreciate that Jeff Bezos is expected to meet with 257 00:13:29,920 --> 00:13:33,200 Speaker 2: President elect Tromp to discuss Amazon's Project Kuiper. It's a 258 00:13:33,280 --> 00:13:37,000 Speaker 2: satellite Internet service that is facing delays and cost overruns. 259 00:13:37,320 --> 00:13:39,800 Speaker 2: Bezos look into the new administration for help in the 260 00:13:39,920 --> 00:13:44,439 Speaker 2: space race against fellow cent a billionaire Elon Musk. Bloomberg's 261 00:13:44,480 --> 00:13:49,200 Speaker 2: Bruce Einhorn joins US now Bruce. Project Kuiper supposed to 262 00:13:49,200 --> 00:13:53,319 Speaker 2: be this competitor to SpaceX's Starlink. Is it fair at 263 00:13:53,320 --> 00:13:55,800 Speaker 2: this point to even call it a competitor. 264 00:13:56,120 --> 00:13:58,880 Speaker 9: Well, it aspires to be, but at the moment it's 265 00:13:58,920 --> 00:14:02,840 Speaker 9: not there yet. So Starlink has more than six thousand 266 00:14:02,920 --> 00:14:07,160 Speaker 9: satellites operating, providing high speed Internet service around the world. 267 00:14:07,679 --> 00:14:11,760 Speaker 9: Amazon wants Project hyper to do something similar. The original 268 00:14:11,760 --> 00:14:15,359 Speaker 9: goal was to have the first batch of operational satellites 269 00:14:15,440 --> 00:14:18,520 Speaker 9: launch first half of this year, and by this time 270 00:14:18,600 --> 00:14:23,040 Speaker 9: they would have beta service starting. They've encountered delays though 271 00:14:23,200 --> 00:14:26,960 Speaker 9: in launching the satellites. They're now looking to launch the 272 00:14:27,000 --> 00:14:30,520 Speaker 9: first batch of satellites early next year and then have 273 00:14:30,640 --> 00:14:34,280 Speaker 9: service starting later in the year. The big problem for 274 00:14:34,360 --> 00:14:37,760 Speaker 9: them is, well, one big problem is that they do 275 00:14:37,840 --> 00:14:42,200 Speaker 9: have a deadline that they received from the Federal Communications 276 00:14:42,200 --> 00:14:44,160 Speaker 9: Commission when they first got the license for this back 277 00:14:44,160 --> 00:14:46,680 Speaker 9: in twenty twenty. They need to have half of their satellites. 278 00:14:46,680 --> 00:14:49,760 Speaker 9: It's over sixteen hundred satellites up and operating by the 279 00:14:49,800 --> 00:14:52,480 Speaker 9: middle of July, I mean by middle of twenty twenty six, 280 00:14:52,600 --> 00:14:55,400 Speaker 9: July twenty twenty six. They don't get that, then they're 281 00:14:55,400 --> 00:14:58,000 Speaker 9: going to need the FCC to give them an extension, 282 00:14:58,040 --> 00:14:58,800 Speaker 9: to give them a waiver. 283 00:14:59,120 --> 00:15:03,600 Speaker 2: One challenge is get those satellites into orbit. Blue Origin 284 00:15:03,680 --> 00:15:06,360 Speaker 2: is certainly a possibility, but if they can't pull it off, 285 00:15:07,000 --> 00:15:09,400 Speaker 2: can they rely on SpaceX to do this? Would that 286 00:15:09,440 --> 00:15:10,000 Speaker 2: ever happen? 287 00:15:11,000 --> 00:15:14,440 Speaker 9: While they do have a contract with SpaceX to launch 288 00:15:14,560 --> 00:15:18,360 Speaker 9: on I think three SpaceX rockets, but that's just a 289 00:15:18,440 --> 00:15:22,240 Speaker 9: tiny part of their total launch needs. So for the 290 00:15:22,240 --> 00:15:27,800 Speaker 9: most part, Amazon is looking to new rockets from Blue Origin, 291 00:15:27,840 --> 00:15:31,200 Speaker 9: which is Jeff Bezos founded company, as well as europe 292 00:15:31,440 --> 00:15:35,520 Speaker 9: Arian Spots and United Launch Alliance, which is joint venture 293 00:15:35,600 --> 00:15:40,040 Speaker 9: between Boeing and Lockheed Martin. The challenge though, is that 294 00:15:40,280 --> 00:15:43,920 Speaker 9: those three companies all have new rockets. Among the three 295 00:15:43,960 --> 00:15:47,360 Speaker 9: of them, those rockets have launched a total of three times, 296 00:15:47,880 --> 00:15:49,600 Speaker 9: so they don't really have a huge track record, and 297 00:15:49,640 --> 00:15:52,240 Speaker 9: it takes a while to get rockets up and going 298 00:15:53,080 --> 00:15:58,520 Speaker 9: to a frequent, frequent launch schedule. So it's a big 299 00:15:58,600 --> 00:16:01,280 Speaker 9: challenge that they face. On the other Cant of course, 300 00:16:01,320 --> 00:16:02,880 Speaker 9: has its own rockets. They don't have to worry about 301 00:16:02,920 --> 00:16:05,040 Speaker 9: it exactly. And it seems like, speaking of SpaceX, Elon 302 00:16:05,160 --> 00:16:08,560 Speaker 9: Musk and President elect Trump are extremely tight. After what 303 00:16:08,600 --> 00:16:09,960 Speaker 9: happened over the last few months and the more than 304 00:16:10,000 --> 00:16:13,440 Speaker 9: two hundred million dollars Musk spent to help get Trump elected. 305 00:16:14,360 --> 00:16:19,480 Speaker 9: How bad is that for Jeff Bezos. Well, of course, 306 00:16:21,080 --> 00:16:25,360 Speaker 9: Musk and the President elect are very close. President Trump 307 00:16:25,440 --> 00:16:28,000 Speaker 9: during his first term did have some run ins with 308 00:16:28,320 --> 00:16:32,000 Speaker 9: Jeff Bezos. There was some criticism from the president of 309 00:16:32,080 --> 00:16:36,080 Speaker 9: Jeff Bezos, who of course owns the Washington Post. Amazon 310 00:16:36,920 --> 00:16:39,880 Speaker 9: did go to court in the first Trump administration alleging 311 00:16:40,280 --> 00:16:44,720 Speaker 9: unfair treatment of the company, saying that they had been 312 00:16:44,760 --> 00:16:47,760 Speaker 9: cut out of a contract with the Defense Department. So 313 00:16:47,840 --> 00:16:52,840 Speaker 9: there is history there. More recently, we have seen pretty 314 00:16:52,920 --> 00:16:56,480 Speaker 9: upby comments from Jeff Bezos about the President elect and 315 00:16:56,520 --> 00:16:57,440 Speaker 9: the new administration. 316 00:16:58,360 --> 00:17:00,680 Speaker 2: Bruse ein Horn, thanks so much for joining us. Do 317 00:17:00,760 --> 00:17:03,960 Speaker 2: appreciate that today. Well, speaking of another story that we 318 00:17:04,000 --> 00:17:07,200 Speaker 2: are watching, Elon Musk looking to transform his SpaceX Star 319 00:17:07,320 --> 00:17:10,520 Speaker 2: based site into a new city. The site in Boca Chica, 320 00:17:10,600 --> 00:17:15,000 Speaker 2: Texas currently the primary location for building and launching SpaceX's 321 00:17:15,000 --> 00:17:18,800 Speaker 2: Starship Rockets, and it's created over three thousand jobs. Several 322 00:17:18,880 --> 00:17:22,239 Speaker 2: steps need to occur before Starbase can be created as 323 00:17:22,280 --> 00:17:27,119 Speaker 2: a new city, including permission from local authorities. Coming up, 324 00:17:27,240 --> 00:17:29,840 Speaker 2: we'll discuss the intersection of AI and sports with the 325 00:17:29,880 --> 00:17:37,800 Speaker 2: CEO of VM. That's next. This is Bloomberg. A new 326 00:17:37,800 --> 00:17:40,440 Speaker 2: partnership could change the way millions of fans experience live 327 00:17:40,520 --> 00:17:43,639 Speaker 2: sports around the world. New York Islanders and Ubs Arena 328 00:17:43,680 --> 00:17:46,359 Speaker 2: have teamed up with VM to develop quick Q. It's 329 00:17:46,400 --> 00:17:49,000 Speaker 2: a tool that directs fans to the shortest lines so 330 00:17:49,040 --> 00:17:51,720 Speaker 2: then can get back to their seats as soon as possible. 331 00:17:52,080 --> 00:17:54,840 Speaker 2: The company putting AI into action and other industries too, 332 00:17:54,880 --> 00:17:58,720 Speaker 2: including marine manufacturing, robotics, as well as food and beverage. 333 00:17:58,800 --> 00:18:01,080 Speaker 2: Here with us is Elliott Horow, a CEO and founder 334 00:18:01,119 --> 00:18:03,040 Speaker 2: at VM. Elliott, good to see you. I want to 335 00:18:03,040 --> 00:18:04,960 Speaker 2: get to the Ubs are in a partnership in a minute. 336 00:18:05,000 --> 00:18:07,800 Speaker 2: But you co founded Mango dB. Before that, you co 337 00:18:07,880 --> 00:18:11,040 Speaker 2: founded shop Wiki. This is not your first rodeo. What's 338 00:18:11,080 --> 00:18:13,920 Speaker 2: the problem that you identified that VM would solve? 339 00:18:14,160 --> 00:18:16,719 Speaker 10: Well, thanks for having us, Tim So the problem that 340 00:18:16,760 --> 00:18:18,879 Speaker 10: I was focused on after I thus Mango dB, it 341 00:18:18,920 --> 00:18:20,120 Speaker 10: was all about physical. 342 00:18:19,800 --> 00:18:21,200 Speaker 2: Devices in the real world. Right. 343 00:18:21,200 --> 00:18:23,120 Speaker 10: We all live in the real world. We all want 344 00:18:23,160 --> 00:18:25,359 Speaker 10: to have the real world be better for us in 345 00:18:25,440 --> 00:18:28,400 Speaker 10: whatever way, and so we built VM to be an 346 00:18:28,400 --> 00:18:30,640 Speaker 10: engineering platform for physical devices. 347 00:18:30,720 --> 00:18:30,840 Speaker 11: Right. 348 00:18:30,840 --> 00:18:33,679 Speaker 10: And that's from air conditioners in your house to robots 349 00:18:33,720 --> 00:18:34,560 Speaker 10: on a factory floor. 350 00:18:34,880 --> 00:18:35,000 Speaker 12: Right. 351 00:18:35,000 --> 00:18:37,560 Speaker 10: It's all about making it easier to build these products. 352 00:18:37,600 --> 00:18:37,679 Speaker 5: Right. 353 00:18:37,760 --> 00:18:39,840 Speaker 10: You need a lot of different engineering counts to make 354 00:18:39,840 --> 00:18:44,320 Speaker 10: that happen, from software engineers to mechanical engineers to AI engineers. 355 00:18:44,680 --> 00:18:46,520 Speaker 10: So how do you make a platform that makes it 356 00:18:46,640 --> 00:18:48,680 Speaker 10: ten times easier to bring these products to life? 357 00:18:48,720 --> 00:18:51,480 Speaker 2: Okay, so let's get to this UBS partnership. The idea 358 00:18:51,520 --> 00:18:53,639 Speaker 2: is you're watching an Islanders game, You've got to use 359 00:18:53,680 --> 00:18:57,080 Speaker 2: the restroom. You can tell by opening the Islanders app 360 00:18:57,400 --> 00:19:00,199 Speaker 2: where to go and how long it'll take exactly right. 361 00:19:00,240 --> 00:19:02,480 Speaker 10: The Islanders, the Islanders ownership and you know John the 362 00:19:02,520 --> 00:19:05,520 Speaker 10: Decky who we partnered with, are all about fan experience, Right. 363 00:19:05,560 --> 00:19:07,080 Speaker 10: How do you have the experience of going to an 364 00:19:07,080 --> 00:19:09,840 Speaker 10: Islanders game, going to any event at UBS arena be 365 00:19:09,880 --> 00:19:12,720 Speaker 10: as great as possible? And so the biggest problem with 366 00:19:12,880 --> 00:19:14,760 Speaker 10: one of the biggest problems with going to a game 367 00:19:14,880 --> 00:19:16,399 Speaker 10: is when do I go to the bathroom? How do 368 00:19:16,440 --> 00:19:18,239 Speaker 10: I have to wait in line? And so you can 369 00:19:18,280 --> 00:19:21,120 Speaker 10: open up the Islanders app and see immediately which bathrooms 370 00:19:21,160 --> 00:19:23,080 Speaker 10: have the shortest line, if there's a line right now, 371 00:19:23,280 --> 00:19:24,679 Speaker 10: and so you can know when to go, where to 372 00:19:24,720 --> 00:19:27,000 Speaker 10: go and make that part of the experience much better. 373 00:19:27,000 --> 00:19:28,800 Speaker 2: What's the hardware that has to be installed at ubs 374 00:19:28,800 --> 00:19:30,200 Speaker 2: arena in order to make this happen. 375 00:19:30,840 --> 00:19:32,280 Speaker 10: So one of the great things we were able to 376 00:19:32,320 --> 00:19:34,920 Speaker 10: do was actually add almost no hardware. Right, We're able 377 00:19:34,920 --> 00:19:37,800 Speaker 10: to add this to the existing security cameras that they 378 00:19:37,840 --> 00:19:40,280 Speaker 10: already had in place, you know, just monitoring for security 379 00:19:40,320 --> 00:19:43,000 Speaker 10: and safety around the arena, and so to tap into 380 00:19:43,040 --> 00:19:46,000 Speaker 10: the existing cameras and just look at those cameras and 381 00:19:46,040 --> 00:19:48,080 Speaker 10: determine what the line was for the bathrooms. 382 00:19:48,119 --> 00:19:49,359 Speaker 2: So what's the tech layer there? 383 00:19:49,920 --> 00:19:52,919 Speaker 10: So the entire tech layer is the existing security cameras 384 00:19:52,960 --> 00:19:55,200 Speaker 10: and then just VM outside of that, Right, So VM 385 00:19:55,240 --> 00:19:58,240 Speaker 10: is tapping into those existing cameras, looking at those feeds 386 00:19:58,280 --> 00:20:01,760 Speaker 10: in real time, doing AI actually in the arena itself, 387 00:20:02,080 --> 00:20:04,320 Speaker 10: and then pushing that data to the Islanders up. 388 00:20:04,640 --> 00:20:08,320 Speaker 2: Okay, let's talk fundraising here. You've raised just shy of 389 00:20:08,400 --> 00:20:12,440 Speaker 2: ninety million dollars at this point. How long does that 390 00:20:12,720 --> 00:20:15,800 Speaker 2: runway give you? When do you need to raise more money? 391 00:20:16,160 --> 00:20:18,320 Speaker 10: We're always talking to investors about raising more money. 392 00:20:18,520 --> 00:20:18,720 Speaker 2: You know. 393 00:20:18,760 --> 00:20:22,200 Speaker 10: One of the things about VM is we're not a 394 00:20:22,440 --> 00:20:25,000 Speaker 10: lacking ambition company, right. We're thinking about everything from in 395 00:20:25,040 --> 00:20:27,960 Speaker 10: your house again to arenas, lots of things we want 396 00:20:27,960 --> 00:20:30,399 Speaker 10: to do about fan experience and lots of arenas, but 397 00:20:30,440 --> 00:20:33,440 Speaker 10: then also everything to cleaning oceans, and so we will 398 00:20:33,440 --> 00:20:35,800 Speaker 10: be raising more money and we're doing a lot of 399 00:20:35,840 --> 00:20:37,160 Speaker 10: interesting projects all over the place. 400 00:20:37,160 --> 00:20:38,959 Speaker 2: Are you actively raising money at this point? Like, are 401 00:20:39,000 --> 00:20:41,119 Speaker 2: you out there talking to investors right now? I mean 402 00:20:41,200 --> 00:20:44,240 Speaker 2: I talk to investors probably every week. Are they give 403 00:20:44,240 --> 00:20:46,080 Speaker 2: you are you getting incoming though? Are they saying, hey, 404 00:20:46,160 --> 00:20:48,440 Speaker 2: we want to give you money? Is that the environment 405 00:20:48,440 --> 00:20:50,560 Speaker 2: out there? There's a lot of you You have a 406 00:20:50,680 --> 00:20:52,320 Speaker 2: strong track record too, right, And there's a. 407 00:20:52,240 --> 00:20:55,840 Speaker 10: Lot of interest in physical devices, physical world and AI right. 408 00:20:55,880 --> 00:20:58,120 Speaker 10: And we're taking a pretty unique approach, and we're really 409 00:20:58,160 --> 00:21:00,680 Speaker 10: focused on short term wins and how do people make 410 00:21:00,760 --> 00:21:02,959 Speaker 10: practical things better on an everyday basis? 411 00:21:03,000 --> 00:21:05,199 Speaker 2: What do you envision for the home. That really intrigues me. 412 00:21:05,640 --> 00:21:08,359 Speaker 2: What's in your perfect world do you imagine happening with 413 00:21:08,480 --> 00:21:09,160 Speaker 2: VM in the home. 414 00:21:10,040 --> 00:21:12,439 Speaker 10: I think a lot of people have something in their 415 00:21:12,480 --> 00:21:15,040 Speaker 10: house that is somewhat smart, right, Maybe it's an air 416 00:21:15,040 --> 00:21:18,000 Speaker 10: conditioning system that's supposed to adjust the temperatures, or lights 417 00:21:18,000 --> 00:21:20,720 Speaker 10: that are supposed to be smart, or even just devices 418 00:21:20,720 --> 00:21:23,919 Speaker 10: that aren't smart, like an old air conditioner. Most of 419 00:21:23,920 --> 00:21:27,159 Speaker 10: those aren't very smart and really aren't great user experiences. 420 00:21:27,359 --> 00:21:29,240 Speaker 10: Or the number of people who've come to me and said, yeah, 421 00:21:29,280 --> 00:21:31,440 Speaker 10: my air conditioner broke down in August, I'm like, why 422 00:21:31,440 --> 00:21:31,920 Speaker 10: did that happen? 423 00:21:32,040 --> 00:21:34,280 Speaker 2: Why don't you know that it's going to break down? 424 00:21:34,560 --> 00:21:36,960 Speaker 10: When an air conditioner breaks, someone usually come to your house, 425 00:21:37,040 --> 00:21:38,840 Speaker 10: look at it, and then maybe go and get another part. 426 00:21:39,000 --> 00:21:41,119 Speaker 10: Why can't they have a computer that's always attached to 427 00:21:41,160 --> 00:21:44,160 Speaker 10: the air conditioner, always monitoring the air conditioner, so they 428 00:21:44,200 --> 00:21:45,880 Speaker 10: know exactly what part they need, and we can tell 429 00:21:45,880 --> 00:21:48,080 Speaker 10: you ahead of time, like, Hey, it's getting noisier, it's 430 00:21:48,080 --> 00:21:50,080 Speaker 10: starting to rattle, it's probably going to break in two weeks. 431 00:21:50,160 --> 00:21:52,000 Speaker 10: Should we become fixed it before you're stuck with no 432 00:21:52,080 --> 00:21:54,560 Speaker 10: AC and it's one hundred degrees outside, right, those sort 433 00:21:54,560 --> 00:21:56,920 Speaker 10: of very practical, real world things that just get in 434 00:21:56,960 --> 00:21:58,040 Speaker 10: the way of day to day life. 435 00:21:58,119 --> 00:21:59,920 Speaker 2: We had to get a new washing machine in dry 436 00:22:00,160 --> 00:22:02,440 Speaker 2: and it's supposed to connect to the internet. It doesn't 437 00:22:02,440 --> 00:22:04,000 Speaker 2: even connect to the internet, right. 438 00:22:04,000 --> 00:22:05,639 Speaker 10: And this is what we hear over and over again 439 00:22:05,800 --> 00:22:08,879 Speaker 10: is that building devices right now is just simply too hard. Right, 440 00:22:09,000 --> 00:22:11,120 Speaker 10: It's too hard to connect these devices in your house 441 00:22:11,119 --> 00:22:12,760 Speaker 10: and in the real world to AI. 442 00:22:13,200 --> 00:22:16,440 Speaker 2: Elliott Horowitz, CEO and founder at VM joining us here 443 00:22:16,480 --> 00:22:25,920 Speaker 2: in New York. Welcome back to Bloomberg Technology. I'm Tim 444 00:22:25,920 --> 00:22:28,640 Speaker 2: Stenevek in New York. Let's get a check on the markets. 445 00:22:28,840 --> 00:22:32,000 Speaker 2: Taking a look at what's going on on a with Broadcom. 446 00:22:32,160 --> 00:22:36,000 Speaker 2: Look at that shares up right now, close to twenty percent. 447 00:22:36,520 --> 00:22:38,880 Speaker 2: Two hundred and fifteen dollars is where it's trading at 448 00:22:38,960 --> 00:22:41,320 Speaker 2: right now. WISES High is twenty two percent a little 449 00:22:41,359 --> 00:22:44,840 Speaker 2: earlier in the session, surging today to a one trillion 450 00:22:44,880 --> 00:22:48,080 Speaker 2: dollar market cap for the first time ever. After predicting 451 00:22:48,080 --> 00:22:50,960 Speaker 2: a boom in demand for its AI chip. Sales of 452 00:22:51,040 --> 00:22:53,240 Speaker 2: AI products are going to gain sixty five percent in 453 00:22:53,240 --> 00:22:56,200 Speaker 2: the fiscal first quarter. That's far faster than its overall 454 00:22:56,240 --> 00:22:59,200 Speaker 2: semiconductor growth of about ten percent. The chip maker also 455 00:22:59,240 --> 00:23:02,359 Speaker 2: predicting that the dressful market for AI components that it 456 00:23:02,400 --> 00:23:06,320 Speaker 2: designs for those data centers, those hyperscalers would reach as 457 00:23:06,400 --> 00:23:11,200 Speaker 2: high as ninety billion dollars by fiscal twenty twenty seven. Also, 458 00:23:11,320 --> 00:23:13,760 Speaker 2: let's take a look at what shares of Tesla not 459 00:23:13,920 --> 00:23:17,320 Speaker 2: just doing today, which yes, they're at a new record, 460 00:23:17,480 --> 00:23:20,400 Speaker 2: but over the last couple of months, they've almost doubled 461 00:23:20,440 --> 00:23:25,680 Speaker 2: in value since the election. Today's news is that the 462 00:23:25,800 --> 00:23:30,640 Speaker 2: Trump administration transition team could scrap an order that requires 463 00:23:30,680 --> 00:23:34,879 Speaker 2: car makers to report crashes involving self driving systems that 464 00:23:35,160 --> 00:23:39,439 Speaker 2: coming from Reuter's a little earlier in the day. Certainly, 465 00:23:39,480 --> 00:23:41,840 Speaker 2: those who've bet on Tesla over the last couple of 466 00:23:41,840 --> 00:23:45,720 Speaker 2: months and even before that, have gotten big payoffs. Well, 467 00:23:45,760 --> 00:23:48,840 Speaker 2: let's keep digging into the Musk trade now, because as 468 00:23:48,880 --> 00:23:51,320 Speaker 2: I mentioned, those who've bet on Elon Musk's business empire 469 00:23:51,560 --> 00:23:53,720 Speaker 2: are closing out in the year with some hefty payoffs. 470 00:23:53,800 --> 00:23:57,399 Speaker 2: Bloomberg's Nitsa Soakova looks into this for usdnitsa good to 471 00:23:57,440 --> 00:24:00,800 Speaker 2: see you give us an understanding of we've stuck by 472 00:24:01,080 --> 00:24:04,240 Speaker 2: Elon Musk over the past few years and how their 473 00:24:04,280 --> 00:24:05,760 Speaker 2: payoff looks at the end of this year. 474 00:24:06,440 --> 00:24:08,520 Speaker 8: Yeah, for sure. We have quite a few funds who 475 00:24:08,600 --> 00:24:11,200 Speaker 8: had placed big bets on in one Musk, which I 476 00:24:11,240 --> 00:24:13,359 Speaker 8: can imagine for the start of the year it wasn't 477 00:24:13,359 --> 00:24:17,000 Speaker 8: really a great performance, but now we're seeing really rapid 478 00:24:17,040 --> 00:24:20,440 Speaker 8: shifting fortituns. We of course love to talk about Destney 479 00:24:20,520 --> 00:24:23,200 Speaker 8: Tech one hundred, which is one of the few funds 480 00:24:23,240 --> 00:24:26,480 Speaker 8: who has so much exposure to SpaceX. That fund has 481 00:24:26,520 --> 00:24:29,480 Speaker 8: sold more than five hundred percent since the election. Just 482 00:24:29,600 --> 00:24:32,960 Speaker 8: incredible rally. This is both due to the price of 483 00:24:33,000 --> 00:24:36,520 Speaker 8: the underlying growing, but more importantly it's due to the 484 00:24:36,640 --> 00:24:39,960 Speaker 8: very big demand we're seeing from retail traders, and they're 485 00:24:40,000 --> 00:24:43,840 Speaker 8: paying ten times more than the actual price of the 486 00:24:43,960 --> 00:24:46,560 Speaker 8: underlying assets, so there is definitely a chase to do that. 487 00:24:46,840 --> 00:24:49,280 Speaker 8: We also have a few big names like traditional stock 488 00:24:49,320 --> 00:24:53,159 Speaker 8: pickers like Ron Barron, which famously bets on Tessa. He 489 00:24:53,240 --> 00:24:56,280 Speaker 8: invests in SpaceX, and he was actually flat on the year, 490 00:24:56,720 --> 00:24:58,800 Speaker 8: and just in a couple of weeks now he's up 491 00:24:58,960 --> 00:25:02,040 Speaker 8: forty percent on the year, So really massive change for 492 00:25:02,160 --> 00:25:05,520 Speaker 8: everyone who placed the boat bet on anything New and Musk. 493 00:25:05,920 --> 00:25:08,920 Speaker 2: I wonder to what extent. This depends on a close 494 00:25:08,960 --> 00:25:12,800 Speaker 2: relationship with the president elect and what happens if this 495 00:25:12,960 --> 00:25:17,520 Speaker 2: relationship sours given the increase that we've seen in such 496 00:25:17,520 --> 00:25:19,240 Speaker 2: a short time, for sure. 497 00:25:19,160 --> 00:25:21,160 Speaker 1: Yeah, a lot of the speculation, a lot of the 498 00:25:21,359 --> 00:25:24,199 Speaker 1: rally we have seen lately, it is based on the 499 00:25:24,240 --> 00:25:28,879 Speaker 1: new cycle we've seen. We've seen obviously SpaceX get a 500 00:25:28,880 --> 00:25:32,160 Speaker 1: lot of its contracts, our government contracts, so you can imagine. 501 00:25:31,800 --> 00:25:34,960 Speaker 8: People are quite happy with that. Even the elimination of 502 00:25:35,000 --> 00:25:38,919 Speaker 8: the tax credits for electric vehicles, which came as news, 503 00:25:39,040 --> 00:25:41,000 Speaker 8: a lot of people are thinking that's going to be 504 00:25:41,040 --> 00:25:45,800 Speaker 8: favorable for tests. So a lot of the incoming administration 505 00:25:46,000 --> 00:25:48,640 Speaker 8: news cycles we have seen has been perceived to be 506 00:25:48,760 --> 00:25:52,359 Speaker 8: quite favorable for those companies. And you can imagine, like 507 00:25:52,680 --> 00:25:55,679 Speaker 8: more broadly, the rally, we're seeing a little bit of 508 00:25:56,800 --> 00:25:58,440 Speaker 8: a stop in the moment. We're seeing a lot of 509 00:25:58,440 --> 00:26:01,800 Speaker 8: the big company struggle. But Teslo continues to score gains, 510 00:26:01,800 --> 00:26:04,440 Speaker 8: and the gains have been incredible. Tesso has added more 511 00:26:04,480 --> 00:26:08,000 Speaker 8: than five hundred billions. Is the election just incredible rallity? 512 00:26:08,080 --> 00:26:11,240 Speaker 2: Yeah, it's pretty remarkable. And Elon Musk of course remains 513 00:26:11,240 --> 00:26:13,480 Speaker 2: the world's wealthiest person. But sur past four hundred billion 514 00:26:13,520 --> 00:26:16,480 Speaker 2: dollars in net Worth just this week, Dniita Sikova. Always 515 00:26:16,480 --> 00:26:19,240 Speaker 2: appreciate you joining us, Thanks so much well. Elon Musk's 516 00:26:19,240 --> 00:26:22,240 Speaker 2: influence looms large on the next administration, even heading the 517 00:26:22,320 --> 00:26:25,440 Speaker 2: newly created Department of Government Efficiency. Yes, we know what's 518 00:26:25,480 --> 00:26:29,520 Speaker 2: called DOGE. With the incoming Trump administration showing strong support 519 00:26:29,560 --> 00:26:33,320 Speaker 2: for crypto, let's bring in Aya Kantarovich, co CEO and 520 00:26:33,400 --> 00:26:36,760 Speaker 2: co founder of the digital assets management platform August for 521 00:26:36,840 --> 00:26:39,520 Speaker 2: her read on crypto markets in at twenty twenty five. 522 00:26:40,040 --> 00:26:42,840 Speaker 2: So the amazing run up that we've seen in many 523 00:26:42,840 --> 00:26:46,800 Speaker 2: different cryptocurrencies, but namely Bitcoin, over the last few months 524 00:26:47,160 --> 00:26:50,199 Speaker 2: has been on hopes of a Trump administration that is 525 00:26:50,240 --> 00:26:53,920 Speaker 2: more lenient when it comes to regulations. So that's the hope. 526 00:26:54,160 --> 00:26:56,520 Speaker 2: Now the administration has to deliver. What do you want 527 00:26:56,520 --> 00:26:58,600 Speaker 2: to say, Yeah, you're absolutely right. 528 00:26:58,640 --> 00:26:59,199 Speaker 10: You know. 529 00:26:59,240 --> 00:27:01,480 Speaker 11: We even saw it yesterday with Trump at the New 530 00:27:01,560 --> 00:27:04,520 Speaker 11: York Stock Exchange. He mentioned that he wants the United 531 00:27:04,560 --> 00:27:07,159 Speaker 11: States to be the number one leader in cryptocurrency in 532 00:27:07,200 --> 00:27:09,600 Speaker 11: the world. That's a very different narrative than what we've 533 00:27:09,600 --> 00:27:11,879 Speaker 11: seen in the last four years. We've also seen the 534 00:27:11,880 --> 00:27:14,919 Speaker 11: Trump administration anchor on this one hundred and fifty k 535 00:27:15,320 --> 00:27:17,879 Speaker 11: bitcoin price, and so we've seen, you know, markets respond 536 00:27:17,920 --> 00:27:20,200 Speaker 11: to that. We've seen a lot of option call buyers 537 00:27:20,200 --> 00:27:22,760 Speaker 11: with March twenty twenty five expirees, and so really a 538 00:27:22,760 --> 00:27:25,440 Speaker 11: lot of people, as you mentioned, are kind of basing 539 00:27:25,480 --> 00:27:29,720 Speaker 11: their expectation on a much more favorable administration. Now that 540 00:27:29,760 --> 00:27:33,160 Speaker 11: can be you know, many subsets. We see Paul Atkins 541 00:27:33,160 --> 00:27:36,639 Speaker 11: coming in as the SEC Chairman and commissioner, and that 542 00:27:36,800 --> 00:27:40,119 Speaker 11: is going to be very positive for crypto companies that 543 00:27:40,160 --> 00:27:43,000 Speaker 11: are centralized. We still need to see what that means 544 00:27:43,000 --> 00:27:46,320 Speaker 11: for decentralized finance as well, especially as it pertains to 545 00:27:46,359 --> 00:27:49,280 Speaker 11: KISEE sanctions. But overall, it really does mean that the 546 00:27:49,359 --> 00:27:51,880 Speaker 11: narrative is front and center, and you're seeing that momentum 547 00:27:51,880 --> 00:27:52,920 Speaker 11: in ETF inflows. 548 00:27:52,960 --> 00:27:54,520 Speaker 2: Does it seem like the wild like it could become 549 00:27:54,560 --> 00:27:55,399 Speaker 2: the wild West? To you? 550 00:27:56,480 --> 00:27:58,640 Speaker 11: We're very much hoping that we're actually going to get 551 00:27:58,760 --> 00:28:01,240 Speaker 11: very clear guidelines and I think that's one of the 552 00:28:01,280 --> 00:28:04,440 Speaker 11: main pieces of also having a role within the White 553 00:28:04,440 --> 00:28:06,520 Speaker 11: House that is focused on crypto. You know, you have 554 00:28:06,600 --> 00:28:08,760 Speaker 11: David Zachs who's going to be spearheading a lot of 555 00:28:08,800 --> 00:28:11,119 Speaker 11: that and what we're actually looking to get from that, 556 00:28:11,359 --> 00:28:13,320 Speaker 11: I mean, he's invested in a bunch of these companies, 557 00:28:13,359 --> 00:28:16,000 Speaker 11: is actually rules and regulations on what we need to do. 558 00:28:16,000 --> 00:28:17,560 Speaker 2: Do you see that as a conflict of interest that 559 00:28:17,600 --> 00:28:19,520 Speaker 2: he's invested in a lot of these companies, but he's 560 00:28:19,520 --> 00:28:21,879 Speaker 2: going to help advise the President and at least people 561 00:28:21,880 --> 00:28:24,040 Speaker 2: in the White House on making rules around these I. 562 00:28:23,960 --> 00:28:25,800 Speaker 11: Think you could probably say that about you know, a 563 00:28:25,800 --> 00:28:28,960 Speaker 11: couple people that you know are advising in the administration. 564 00:28:29,080 --> 00:28:30,800 Speaker 11: But that said, you know, you still need to have 565 00:28:30,840 --> 00:28:33,040 Speaker 11: all of this get approved by Congress. You need to 566 00:28:33,080 --> 00:28:34,919 Speaker 11: have it approved also on a state level, and so 567 00:28:34,960 --> 00:28:38,280 Speaker 11: you're seeing a lot of states actually start to jumpstart this. 568 00:28:38,400 --> 00:28:41,479 Speaker 11: And so you're seeing states such as Texas most recently 569 00:28:41,520 --> 00:28:43,360 Speaker 11: this week, say that they want to have bitcoin as 570 00:28:43,400 --> 00:28:45,920 Speaker 11: a reserve currency for the state. The US has spoken 571 00:28:45,920 --> 00:28:48,200 Speaker 11: about it. You're seeing a number of states now four 572 00:28:48,680 --> 00:28:51,040 Speaker 11: actually say that they're going to go ahead and do that. 573 00:28:51,160 --> 00:28:52,840 Speaker 11: And so I think you'll see a lot of the 574 00:28:52,920 --> 00:28:55,360 Speaker 11: checks and balances on both a state and federal level, 575 00:28:55,560 --> 00:28:57,000 Speaker 11: and we're excited to see that play out. 576 00:28:57,320 --> 00:29:00,840 Speaker 2: And recent Horowitz is crypto policy lead Brian Quintez is 577 00:29:00,880 --> 00:29:04,400 Speaker 2: a top contender to lead the CFTC under President lex Trump. 578 00:29:05,120 --> 00:29:06,920 Speaker 2: What kind of role do you see that he would 579 00:29:06,920 --> 00:29:08,360 Speaker 2: play in shaping cryptopolicy. 580 00:29:09,080 --> 00:29:12,240 Speaker 11: He's been pretty favorable in both what he said very 581 00:29:12,240 --> 00:29:14,600 Speaker 11: publicly and also in the guidance that he's given for 582 00:29:14,880 --> 00:29:17,520 Speaker 11: a lot of the A sixteen Z companies. For example, 583 00:29:17,600 --> 00:29:20,600 Speaker 11: UNISWAP is one of the largest ones that's a decentralized 584 00:29:20,600 --> 00:29:23,120 Speaker 11: exchange platform. It touches a number of users, and I 585 00:29:23,160 --> 00:29:25,200 Speaker 11: think what you'll see is that a lot of these 586 00:29:25,200 --> 00:29:29,000 Speaker 11: currencies will fall under the CFDC. CFDC has given very 587 00:29:29,000 --> 00:29:31,400 Speaker 11: clear guidelines and so we're very excited to continue to 588 00:29:31,440 --> 00:29:32,800 Speaker 11: push in partnership with them. 589 00:29:32,840 --> 00:29:34,600 Speaker 2: Are you concerned that there could be clear winners and 590 00:29:34,640 --> 00:29:38,600 Speaker 2: losers here given that there are people from certain venture 591 00:29:38,640 --> 00:29:42,280 Speaker 2: capital firms who have the presidentallex Ear, Elon Musk has 592 00:29:42,320 --> 00:29:45,520 Speaker 2: the president of x ear, but not everybody is going 593 00:29:45,560 --> 00:29:47,200 Speaker 2: to have his ear. Are there are there going to 594 00:29:47,200 --> 00:29:49,120 Speaker 2: be clear winners and losers as a result of who 595 00:29:49,160 --> 00:29:49,760 Speaker 2: has access. 596 00:29:50,120 --> 00:29:51,840 Speaker 11: That's a very very good question, and I think it 597 00:29:51,920 --> 00:29:54,719 Speaker 11: still boils down to what are the guidelines and rules? 598 00:29:54,720 --> 00:29:56,800 Speaker 11: So if you do pick, you know, call it a 599 00:29:56,840 --> 00:30:01,240 Speaker 11: clear winner based on someone's relationship with a specific company 600 00:30:01,520 --> 00:30:05,240 Speaker 11: or their previous investments. It really depends on why is 601 00:30:05,240 --> 00:30:07,920 Speaker 11: it a commodity? Is it a security? And then boiling 602 00:30:07,960 --> 00:30:09,720 Speaker 11: that down and then we can take that guideline and 603 00:30:09,720 --> 00:30:11,680 Speaker 11: apply that to many other winners as well. 604 00:30:11,800 --> 00:30:15,200 Speaker 2: Ayah, what happens if there is some sort of meltdown 605 00:30:15,200 --> 00:30:17,920 Speaker 2: akin to what we saw at FTX two years ago 606 00:30:18,560 --> 00:30:21,120 Speaker 2: in the coming years and you see a large number 607 00:30:21,520 --> 00:30:26,600 Speaker 2: of people who have holdings of cryptocurrencies get burned. Maybe 608 00:30:26,640 --> 00:30:32,320 Speaker 2: it's the result of a more lax regulatory environment. The 609 00:30:32,360 --> 00:30:34,400 Speaker 2: whole idea with regulations is these are supposed to be 610 00:30:34,400 --> 00:30:38,000 Speaker 2: guardrails and protect consumers. Does this whole thing backfire if 611 00:30:38,040 --> 00:30:39,040 Speaker 2: consumers get burned? 612 00:30:39,680 --> 00:30:41,800 Speaker 11: So my personal opinion, and I think that of the 613 00:30:41,840 --> 00:30:44,120 Speaker 11: industry is not a lot of the things that happened 614 00:30:44,120 --> 00:30:48,120 Speaker 11: with FTX were personal people issues and people management issues 615 00:30:48,160 --> 00:30:51,920 Speaker 11: and lack of operational back end systems in order that 616 00:30:51,960 --> 00:30:55,640 Speaker 11: you see both in traditional finance but also in centralized exchanges. 617 00:30:55,720 --> 00:30:57,600 Speaker 2: That may be true, but it didn't happen in a vacuum. 618 00:30:57,600 --> 00:30:59,160 Speaker 2: We saw the failure of a lot of crypto firms 619 00:30:59,240 --> 00:31:01,760 Speaker 2: during that time. We saw the real depression of many 620 00:31:01,760 --> 00:31:04,040 Speaker 2: crypto asset prices can one. 621 00:31:03,960 --> 00:31:07,240 Speaker 11: Hundred percent agree. We also saw that in traditional finance 622 00:31:07,240 --> 00:31:10,160 Speaker 11: with our Kegoes for example, and that took down Credit Suite. 623 00:31:10,240 --> 00:31:13,400 Speaker 11: So it's not unique to crypto. These are still financial 624 00:31:13,440 --> 00:31:17,720 Speaker 11: companies and they still require very clear guidelines on operations, 625 00:31:17,840 --> 00:31:20,480 Speaker 11: on people management, and on flow funds. And I think 626 00:31:20,480 --> 00:31:23,000 Speaker 11: what we're going to get from this administration is exactly 627 00:31:23,000 --> 00:31:24,960 Speaker 11: what that needs to look like in the United States. 628 00:31:25,160 --> 00:31:27,960 Speaker 11: We can copypaste that into these companies and then we can, 629 00:31:28,160 --> 00:31:29,560 Speaker 11: you know, with that clear guideline. 630 00:31:29,560 --> 00:31:30,280 Speaker 12: That's the issue. 631 00:31:30,360 --> 00:31:32,640 Speaker 11: Since we don't have the clear guidelines, we don't really 632 00:31:32,680 --> 00:31:35,400 Speaker 11: know how and where to operate, and that creates more confusion. 633 00:31:35,960 --> 00:31:38,560 Speaker 11: Even with less regulation, as long as the guidelines are 634 00:31:38,720 --> 00:31:41,880 Speaker 11: very clear, we can operate within those, hire the right people, 635 00:31:42,440 --> 00:31:45,880 Speaker 11: whether it's for compliance or again back in operations and 636 00:31:45,920 --> 00:31:46,640 Speaker 11: continue forward. 637 00:31:46,760 --> 00:31:48,760 Speaker 2: What are you seeing on August platform right now, Like, 638 00:31:48,760 --> 00:31:50,560 Speaker 2: what's the activity that you see that you can tell 639 00:31:50,640 --> 00:31:51,040 Speaker 2: us about. 640 00:31:51,280 --> 00:31:54,720 Speaker 11: Yes, our volumes have really spiked tremendously. It's very very exciting. 641 00:31:54,840 --> 00:31:57,280 Speaker 11: You know, yields are spiking, and so we're seeing, for example, 642 00:31:57,280 --> 00:32:00,200 Speaker 11: our clients get yields over five percent on bitcoin and 643 00:32:00,280 --> 00:32:03,400 Speaker 11: majors on basis. Right now, we're seeing roughly eleven percent 644 00:32:03,440 --> 00:32:06,280 Speaker 11: for majors, over twenty five percent for some all coins, 645 00:32:06,480 --> 00:32:10,120 Speaker 11: and then even for for example, lending rates for stable coins, 646 00:32:10,120 --> 00:32:13,360 Speaker 11: the seven day average is around sixteen percent. So it's 647 00:32:13,400 --> 00:32:15,720 Speaker 11: really tracting more capital on chain and we're excited to 648 00:32:15,720 --> 00:32:16,480 Speaker 11: continue to see that. 649 00:32:16,840 --> 00:32:18,400 Speaker 2: I always get to see you. Thanks so much for 650 00:32:18,480 --> 00:32:22,680 Speaker 2: stopping by Bloomberg HQ. That's August CEO Aya Kantorovitch joining 651 00:32:22,720 --> 00:32:26,440 Speaker 2: us here at Bloomberg. Well, coming up, Archer teaming up 652 00:32:26,480 --> 00:32:30,040 Speaker 2: with Anderill. Archer CEO Adam Goldstein joins us. Next for more, 653 00:32:30,200 --> 00:32:50,760 Speaker 2: This is Bloomberg. Archer, the electric aircraft maker, has a 654 00:32:50,760 --> 00:32:53,680 Speaker 2: new partnership with defense tech firm Anderill to build a 655 00:32:53,760 --> 00:32:56,880 Speaker 2: hybrid at military aircraft. This as the company also announced 656 00:32:56,920 --> 00:32:59,280 Speaker 2: it has brought in four hundred and thirty million dollars 657 00:32:59,320 --> 00:33:03,560 Speaker 2: from investors including Stillantis and United Airlines. Archer CEO Adam 658 00:33:03,600 --> 00:33:06,280 Speaker 2: Goldstein joins us now. Adam, I think a lot of 659 00:33:06,280 --> 00:33:09,239 Speaker 2: people when they envision Archer, when they hear Archer, they 660 00:33:09,280 --> 00:33:12,760 Speaker 2: think of air taxis, they think of urban mobility. What 661 00:33:12,920 --> 00:33:14,600 Speaker 2: is the opportunity and defense for Archer? 662 00:33:16,040 --> 00:33:19,160 Speaker 12: Yeah, well, I think it's quite common for aircraft manufacturers 663 00:33:19,200 --> 00:33:22,480 Speaker 12: to participate in both the commercial aspects of the industry 664 00:33:22,520 --> 00:33:25,640 Speaker 12: as well as the defense aspects. The commercial side of 665 00:33:25,720 --> 00:33:28,080 Speaker 12: Archer's business has become very mature, and the aircraft is 666 00:33:28,080 --> 00:33:31,000 Speaker 12: in the late stages of its development and certification program, 667 00:33:31,200 --> 00:33:33,120 Speaker 12: and so it was a great opportunity for us to 668 00:33:33,160 --> 00:33:36,680 Speaker 12: really extend and expand our capabilities and move into the 669 00:33:36,720 --> 00:33:39,960 Speaker 12: defense side. And of course partnering with Androl is an 670 00:33:40,040 --> 00:33:43,360 Speaker 12: amazing opportunity as they're the premier defense tech company in 671 00:33:43,400 --> 00:33:43,720 Speaker 12: the world. 672 00:33:43,760 --> 00:33:46,120 Speaker 2: So what does that product look like when it's all 673 00:33:46,160 --> 00:33:48,800 Speaker 2: said and done in partnership with Androl. 674 00:33:49,720 --> 00:33:53,840 Speaker 12: So we're building a hybrid electric vertical takeoff and landing aircraft. 675 00:33:54,360 --> 00:33:56,640 Speaker 12: It will have a lot of the same capabilities that 676 00:33:56,680 --> 00:33:58,880 Speaker 12: you've seen on the commercial side. So these are vehicles 677 00:33:58,880 --> 00:34:01,520 Speaker 12: that can be produced at much lower costs. There are 678 00:34:01,600 --> 00:34:05,000 Speaker 12: vehicles that have low acoustic, low thermal signatures, and so 679 00:34:05,200 --> 00:34:10,400 Speaker 12: applications that will be very helpful towards defense vehicles. I 680 00:34:10,400 --> 00:34:13,759 Speaker 12: think it's also really important to the US Department of 681 00:34:13,760 --> 00:34:16,399 Speaker 12: Defense that we add new capabilities. There's this whole new 682 00:34:16,440 --> 00:34:19,879 Speaker 12: trend in affordable autonomous aircraft that can help bring new 683 00:34:19,920 --> 00:34:23,000 Speaker 12: capabilities but also at the same time dramatically lower costs. 684 00:34:23,320 --> 00:34:25,320 Speaker 2: You've been working with the Department of Defense for a 685 00:34:25,360 --> 00:34:27,560 Speaker 2: few years, going back to twenty twenty one, but now 686 00:34:27,600 --> 00:34:31,239 Speaker 2: you're just creating this separate defense division. Why are you 687 00:34:31,280 --> 00:34:34,319 Speaker 2: doing it now and what's different about defense tech going 688 00:34:34,320 --> 00:34:36,680 Speaker 2: into twenty twenty five. Is this about a new administration? 689 00:34:38,239 --> 00:34:41,440 Speaker 12: Yeah, So Archer has a team of around one thousand people, 690 00:34:41,480 --> 00:34:43,520 Speaker 12: and we've been working for a long time on building 691 00:34:43,560 --> 00:34:46,640 Speaker 12: out the capabilities of our aircraft. As the aircraft matured, 692 00:34:46,719 --> 00:34:49,200 Speaker 12: it allows us to take that platform and build variants 693 00:34:49,239 --> 00:34:51,920 Speaker 12: of it that can be useful across different applications. You 694 00:34:51,960 --> 00:34:54,359 Speaker 12: combine that with the new administration and you have an 695 00:34:54,360 --> 00:34:57,839 Speaker 12: incredible opportunity for us to dramatically expand our business. So 696 00:34:58,040 --> 00:35:00,640 Speaker 12: on the commercial side, it can be certainly very big, 697 00:35:01,200 --> 00:35:03,520 Speaker 12: but it also is for some people hard to define. 698 00:35:03,680 --> 00:35:06,560 Speaker 12: On the defense side, it's very clear that there are 699 00:35:06,640 --> 00:35:10,480 Speaker 12: new needs that the Defense Department is looking for and 700 00:35:10,520 --> 00:35:13,000 Speaker 12: we can certainly fill those as well. So the opportunity 701 00:35:13,040 --> 00:35:14,880 Speaker 12: here really is pretty impressive. 702 00:35:14,960 --> 00:35:16,839 Speaker 2: What's the type of infrastructure that has to be in 703 00:35:16,880 --> 00:35:21,799 Speaker 2: place for the Defense Department at bases here and at 704 00:35:22,200 --> 00:35:25,160 Speaker 2: outposts around the world in order for this product to 705 00:35:25,200 --> 00:35:27,239 Speaker 2: succeed well. 706 00:35:27,280 --> 00:35:29,920 Speaker 12: The beauty is that they're vertical takeoff and landing aircraft, 707 00:35:29,960 --> 00:35:32,560 Speaker 12: which means we don't need runways. And so that's one 708 00:35:32,560 --> 00:35:34,680 Speaker 12: of the big benefits that you can have these aircraft 709 00:35:34,880 --> 00:35:37,560 Speaker 12: that could be utilized across many different applications. So you 710 00:35:37,560 --> 00:35:40,160 Speaker 12: can think about all things that helicopters do, and then 711 00:35:40,200 --> 00:35:42,800 Speaker 12: there's certainly things that you can envision that go beyond 712 00:35:42,800 --> 00:35:45,360 Speaker 12: those use cases. So when you don't need runways, you 713 00:35:45,400 --> 00:35:46,600 Speaker 12: need limited infrastructure. 714 00:35:47,320 --> 00:35:48,960 Speaker 2: I look up at the sky in New York City 715 00:35:50,200 --> 00:35:54,640 Speaker 2: and I see airplanes from bowling In, Airbus and Breyer 716 00:35:55,080 --> 00:35:58,520 Speaker 2: and the like. I still don't see air taxis. When 717 00:35:58,520 --> 00:36:00,399 Speaker 2: will I see air taxis? 718 00:36:01,239 --> 00:36:03,640 Speaker 12: Well, the air taxis will come to the US as 719 00:36:03,640 --> 00:36:07,000 Speaker 12: soon as the regulatory pathway is clear. And one of 720 00:36:07,000 --> 00:36:09,880 Speaker 12: the benefits of the new administration is that they are 721 00:36:10,239 --> 00:36:12,319 Speaker 12: projecting that there will be an easier time to get 722 00:36:12,360 --> 00:36:14,920 Speaker 12: through some of the regulatory pathways. That being said, it 723 00:36:14,960 --> 00:36:16,520 Speaker 12: is still up to Archer to make sure that we 724 00:36:16,600 --> 00:36:19,040 Speaker 12: produce a safe aircraft, and that's where we really focus, 725 00:36:19,480 --> 00:36:21,400 Speaker 12: and I think you'll start to see things sooner than 726 00:36:21,440 --> 00:36:22,160 Speaker 12: you might expect. 727 00:36:22,480 --> 00:36:24,160 Speaker 2: What sooner than you and I expect. What does that 728 00:36:24,200 --> 00:36:25,960 Speaker 2: mean in terms of number of years? Am I counting 729 00:36:25,960 --> 00:36:26,920 Speaker 2: on one hand? 730 00:36:27,840 --> 00:36:28,000 Speaker 13: Oh? 731 00:36:28,080 --> 00:36:28,800 Speaker 3: Yeah, absolutely. 732 00:36:28,840 --> 00:36:31,960 Speaker 12: Our goal is to have aircraft commercial in the marketplace 733 00:36:32,000 --> 00:36:32,919 Speaker 12: by the end of next year. 734 00:36:34,040 --> 00:36:35,000 Speaker 2: And where would that be. 735 00:36:36,320 --> 00:36:38,440 Speaker 12: Well, the starting point is in the UAE. So the 736 00:36:38,520 --> 00:36:41,000 Speaker 12: UE has created a framework for us to get to 737 00:36:41,080 --> 00:36:43,120 Speaker 12: market by the fourth quarter of next year, and so 738 00:36:43,160 --> 00:36:46,040 Speaker 12: we've been working very closely with the regulators there. 739 00:36:46,120 --> 00:36:47,399 Speaker 2: But I do think you'll start to. 740 00:36:47,360 --> 00:36:52,480 Speaker 12: See an increasing amount of excitement coming from the FAA 741 00:36:52,520 --> 00:36:54,719 Speaker 12: as these products get a lot of hours under them 742 00:36:54,719 --> 00:36:57,759 Speaker 12: in flight tests and really advanced in the certification programs, 743 00:36:57,960 --> 00:36:59,680 Speaker 12: And so my guess it will be a short time 744 00:36:59,680 --> 00:37:01,799 Speaker 12: after to just see these aircraft come to market in 745 00:37:01,800 --> 00:37:02,240 Speaker 12: the US. 746 00:37:02,280 --> 00:37:03,799 Speaker 2: And if they do come or when they do come 747 00:37:03,800 --> 00:37:05,600 Speaker 2: to market in the US, give us a year that 748 00:37:05,600 --> 00:37:07,160 Speaker 2: you think it would happen if all goes according to 749 00:37:07,160 --> 00:37:09,719 Speaker 2: a plan from a regulatory perspective, and where we'll see 750 00:37:09,719 --> 00:37:11,640 Speaker 2: it in the US? What city, what state will this 751 00:37:11,680 --> 00:37:12,280 Speaker 2: happen first? 752 00:37:13,480 --> 00:37:16,480 Speaker 12: Yeah, So we've announced several key markets that are important 753 00:37:16,520 --> 00:37:20,120 Speaker 12: to US. LA is a fantastic market that are over 754 00:37:20,440 --> 00:37:24,040 Speaker 12: five million daily trips that take greater than an hour 755 00:37:24,200 --> 00:37:26,400 Speaker 12: by car going less than twenty miles. So when you 756 00:37:26,400 --> 00:37:28,520 Speaker 12: start to think about that, just the city of La 757 00:37:28,600 --> 00:37:32,200 Speaker 12: alone could be bigger than the entire aviation industry globally. 758 00:37:32,520 --> 00:37:34,040 Speaker 12: And then you start to think about the other big 759 00:37:34,040 --> 00:37:37,640 Speaker 12: markets in the US that we concentrate on New York, Miami, 760 00:37:38,000 --> 00:37:41,040 Speaker 12: and so there's an amazing opportunity here. It's our job 761 00:37:41,080 --> 00:37:43,839 Speaker 12: to build safe aircraft and once the regulators d must safe, 762 00:37:43,880 --> 00:37:45,640 Speaker 12: and that's when we'll ultimately get to market. 763 00:37:45,840 --> 00:37:48,520 Speaker 2: Archer CEO Adam Goldstein, Adam, good to talk to you. 764 00:37:48,560 --> 00:37:58,920 Speaker 2: Thanks for checking in. Do appreciate it. San Francisco has 765 00:37:58,920 --> 00:38:01,240 Speaker 2: been at the center of the boom, yet the city 766 00:38:01,560 --> 00:38:05,359 Speaker 2: still running up against its issues. Locally, Carolin Hyde sat 767 00:38:05,440 --> 00:38:08,719 Speaker 2: down with San Francisco Mayor elect Daniel Lurie to discuss 768 00:38:08,760 --> 00:38:11,000 Speaker 2: the future of the city under the new age of AI. 769 00:38:11,600 --> 00:38:14,839 Speaker 2: This after he assembled a transition team that includes Open 770 00:38:14,880 --> 00:38:16,919 Speaker 2: AI co founder Sam Alman. Check it out. 771 00:38:17,400 --> 00:38:21,160 Speaker 14: Sam Alman has been great as a transition code chair. 772 00:38:22,040 --> 00:38:25,480 Speaker 14: We are committed to leaning into being the home of AI. 773 00:38:26,239 --> 00:38:30,680 Speaker 14: We have historic investments already here in San Francisco. We're 774 00:38:30,719 --> 00:38:34,600 Speaker 14: going to continue to lean in not only AI, not 775 00:38:34,719 --> 00:38:37,920 Speaker 14: only technology, but really once again being the epicenter for 776 00:38:38,160 --> 00:38:41,640 Speaker 14: business again. There is no better place to do business 777 00:38:41,880 --> 00:38:45,600 Speaker 14: on the globe than San Francisco when we're at our best. 778 00:38:46,120 --> 00:38:48,839 Speaker 14: But it's not just about business. It's about bringing our 779 00:38:48,960 --> 00:38:53,840 Speaker 14: arts and culture back to San Francisco, because that's where people. 780 00:38:54,120 --> 00:38:57,000 Speaker 14: When people think of San Francisco, they think of culture. 781 00:38:57,040 --> 00:39:01,280 Speaker 14: They think that everything starts here. Yes, I started here 782 00:39:01,320 --> 00:39:03,279 Speaker 14: and we wanted to grow here, but we kind of 783 00:39:03,320 --> 00:39:06,200 Speaker 14: want the best of everything coming back to San Francisco. 784 00:39:06,600 --> 00:39:09,239 Speaker 15: I mean, you're someone who knows well how to make 785 00:39:09,239 --> 00:39:13,399 Speaker 15: cultural events bound together, big cultural movement benefit concert raise 786 00:39:13,480 --> 00:39:15,759 Speaker 15: seventeen million dollars. You've done other philanthropic work. But you're 787 00:39:15,760 --> 00:39:19,200 Speaker 15: also from a business dynasty of Levi and what parts 788 00:39:19,239 --> 00:39:21,279 Speaker 15: of industry do you want to cultivate here? You just 789 00:39:21,320 --> 00:39:24,560 Speaker 15: mentioned financial services there, you mentioned sports, but it's going 790 00:39:24,640 --> 00:39:25,400 Speaker 15: to be broader than that. 791 00:39:26,120 --> 00:39:33,320 Speaker 14: Absolutely, we are calling healthcare executives, biotech AI, we want 792 00:39:33,600 --> 00:39:36,239 Speaker 14: real estate thinking that San Francisco is a place that 793 00:39:36,280 --> 00:39:39,720 Speaker 14: they want to invest in again. Because when you get 794 00:39:39,880 --> 00:39:42,920 Speaker 14: these business leaders back, what that tells me is that 795 00:39:42,960 --> 00:39:46,319 Speaker 14: we get the small businesses back to San Francisco, back 796 00:39:46,480 --> 00:39:47,280 Speaker 14: thriving again. 797 00:39:48,040 --> 00:39:50,920 Speaker 2: That was San Francisco's Mayor elect Daniel Lurie with Caroline 798 00:39:50,960 --> 00:39:54,240 Speaker 2: Hyde there and from San Francisco to Boston. Liquid AI 799 00:39:54,360 --> 00:39:58,480 Speaker 2: and MIT spinoff designing AI systems inspired by the tiny 800 00:39:58,520 --> 00:40:01,400 Speaker 2: brains of a worm, set to raise two hundred and 801 00:40:01,440 --> 00:40:04,320 Speaker 2: fifty million dollars in funding at a two point three 802 00:40:04,360 --> 00:40:08,320 Speaker 2: billion dollar valuation Bloomberg. Sharen Gafari joins US now for 803 00:40:08,480 --> 00:40:13,400 Speaker 2: moreen neural networks. Typically they're modeled after, you know, the 804 00:40:13,440 --> 00:40:16,040 Speaker 2: old human brain. These things that have proved to work 805 00:40:16,360 --> 00:40:18,600 Speaker 2: really well. What's up with worm brains? Why is this 806 00:40:18,640 --> 00:40:20,640 Speaker 2: an exciting new frontier? That's right. 807 00:40:20,719 --> 00:40:23,280 Speaker 13: So the neural networks of power things like chat ship 808 00:40:23,360 --> 00:40:26,360 Speaker 13: tee that we all use are loosely modeled off of 809 00:40:26,360 --> 00:40:29,400 Speaker 13: a human brain. However, there's a lot of complexities there. 810 00:40:29,560 --> 00:40:32,280 Speaker 13: The human brain has a lot of neurons. It's difficult 811 00:40:32,320 --> 00:40:34,759 Speaker 13: to understand. And so the idea is that a worm brain, 812 00:40:35,160 --> 00:40:37,640 Speaker 13: if you can still get some reasoning out of it, 813 00:40:38,160 --> 00:40:42,040 Speaker 13: might be simpler and actually more intuitive to study than 814 00:40:42,080 --> 00:40:43,800 Speaker 13: a more complex human brain like system. 815 00:40:43,880 --> 00:40:46,920 Speaker 2: But I thought worms were again not here. Not to 816 00:40:46,920 --> 00:40:50,560 Speaker 2: be a biologist, but aren't worms the type of creatures 817 00:40:50,560 --> 00:40:56,320 Speaker 2: that are incredibly simple and don't necessarily have reasoning capabilities 818 00:40:56,600 --> 00:40:59,520 Speaker 2: akin to other animals let's say a pig, for example. 819 00:41:00,080 --> 00:41:03,560 Speaker 2: Could a neural network designed after a worm brain actually 820 00:41:03,600 --> 00:41:05,399 Speaker 2: bring us in terms of AI? 821 00:41:06,120 --> 00:41:08,759 Speaker 13: Yeah, Look, it is still you know, experimental technology that 822 00:41:08,760 --> 00:41:11,600 Speaker 13: they're stealing up, but actually in some early research that 823 00:41:11,640 --> 00:41:15,440 Speaker 13: the founders did, they were showing that potentially this kind 824 00:41:15,480 --> 00:41:17,720 Speaker 13: of tech could be used to steer self driving cars 825 00:41:17,719 --> 00:41:21,479 Speaker 13: to help analyze that data. So there's big potential here 826 00:41:21,520 --> 00:41:23,719 Speaker 13: and you always have to be open to exploring you 827 00:41:23,880 --> 00:41:28,000 Speaker 13: and sometimes kind of almost incredible sounding models in AI. 828 00:41:28,080 --> 00:41:30,200 Speaker 13: And I think this is a reflection of investor interest 829 00:41:30,200 --> 00:41:33,440 Speaker 13: in going beyond kind of the standard transformer neural network 830 00:41:33,480 --> 00:41:34,560 Speaker 13: type models that we use just. 831 00:41:34,600 --> 00:41:37,200 Speaker 2: Envisioning a worm being driving a self driving car. But 832 00:41:37,440 --> 00:41:40,120 Speaker 2: that's neither here nor there. Some real money coming into 833 00:41:40,120 --> 00:41:44,080 Speaker 2: this in some established companies, not just vcs, but also 834 00:41:44,360 --> 00:41:47,600 Speaker 2: establish publicly traded firms that are betting big on this tech. 835 00:41:47,719 --> 00:41:50,680 Speaker 13: Who's there, that's right, So AMD is a lead investor, 836 00:41:51,920 --> 00:41:54,520 Speaker 13: and you know, again, I think this reflects sort of 837 00:41:54,560 --> 00:41:59,040 Speaker 13: the interests that we're seeing and going beyond what's been 838 00:41:59,080 --> 00:42:02,000 Speaker 13: out there for a while now, which are transformer based models. 839 00:42:03,000 --> 00:42:05,000 Speaker 2: You know, I think what would be sort of the 840 00:42:05,080 --> 00:42:08,200 Speaker 2: test to see when this technology or if this technology works, 841 00:42:08,239 --> 00:42:11,120 Speaker 2: because this is such a hefty valuation for something that 842 00:42:11,120 --> 00:42:13,120 Speaker 2: at this point is in the early stages. Or does 843 00:42:13,120 --> 00:42:15,880 Speaker 2: that just show that there's so much exuberance for AI 844 00:42:15,960 --> 00:42:16,399 Speaker 2: out there. 845 00:42:17,040 --> 00:42:18,600 Speaker 13: I think the proof will be in the putting about 846 00:42:18,640 --> 00:42:20,440 Speaker 13: these models. You know, there are some early tests that 847 00:42:20,440 --> 00:42:22,840 Speaker 13: they've brun. These are you know, benchmarks that they do internally, 848 00:42:22,920 --> 00:42:26,480 Speaker 13: seeing that on certain tasks this is competitive with some 849 00:42:26,520 --> 00:42:30,360 Speaker 13: of the similar sized, more traditional models out there. But again, 850 00:42:30,440 --> 00:42:32,279 Speaker 13: you know, it's one thing to test something in a lab. 851 00:42:32,320 --> 00:42:33,920 Speaker 13: It's another thing when you go out there and get 852 00:42:33,920 --> 00:42:36,840 Speaker 13: this product in front of people. Is it actually providing value? 853 00:42:36,840 --> 00:42:39,120 Speaker 13: I think that will be the ultimate sign of whether 854 00:42:39,239 --> 00:42:41,120 Speaker 13: this is going to work on a bigger scale. 855 00:42:41,160 --> 00:42:42,800 Speaker 2: Seren, always good to see you, Thanks so much for 856 00:42:42,880 --> 00:42:46,200 Speaker 2: joining us. Thank you, Bumberg Technology, Bloomberg. Serene Gafari here 857 00:42:46,200 --> 00:42:48,080 Speaker 2: in the studio that is going to do it for 858 00:42:48,120 --> 00:42:51,000 Speaker 2: this Faraday edition of a Bloomberg Technology. Don't forget to 859 00:42:51,080 --> 00:42:53,200 Speaker 2: check out our podcast. You can find it on the 860 00:42:53,280 --> 00:42:57,279 Speaker 2: terminal as well as online. On Apple, Spotify, and iHeart 861 00:42:57,520 --> 00:42:58,719 Speaker 2: this is Bloomberg. 862 00:42:59,160 --> 00:43:02,480 Speaker 13: Thank you wh