1 00:00:02,400 --> 00:00:09,000 Speaker 1: Bloomberg Audio Studios, podcasts, radio news from Mahard. 2 00:00:09,160 --> 00:00:13,600 Speaker 2: We're Innovation of Money and power Collie in Silicon Valley, NBN. 3 00:00:13,920 --> 00:00:41,080 Speaker 2: This is Bloomberg Technology with Caroline Hyde and Ed Ludlow. 4 00:00:32,040 --> 00:00:34,680 Speaker 3: Live from New York and San Francisco. This is Bloomberg 5 00:00:34,720 --> 00:00:37,680 Speaker 3: Technology Coming up. Tech leads us lower as we end 6 00:00:37,680 --> 00:00:39,760 Speaker 3: the week in the red. All eyes on in video 7 00:00:39,800 --> 00:00:43,160 Speaker 3: earnings as the Trump trade it fades plus. 8 00:00:43,200 --> 00:00:47,120 Speaker 4: Ali Barber reports solid growth in international and cloud units, 9 00:00:47,200 --> 00:00:50,720 Speaker 4: offsetting week sales in its China e commerce. 10 00:00:50,360 --> 00:00:53,800 Speaker 3: Business, and SpaceX gets ready to launch a tender offer 11 00:00:53,840 --> 00:00:56,200 Speaker 3: in December, which would value it at more than two 12 00:00:56,400 --> 00:00:59,600 Speaker 3: hundred and fifty billion dollars according to reports. But first 13 00:01:00,000 --> 00:01:03,400 Speaker 3: from private markets to public markets. We're having a pretty 14 00:01:03,760 --> 00:01:07,000 Speaker 3: lower end to the week. Look, the risk off focus 15 00:01:07,000 --> 00:01:09,840 Speaker 3: has come. Whether it's Trump Trade, the euphoria dying, or 16 00:01:09,840 --> 00:01:12,759 Speaker 3: whether it's Federal reserve. Reality is we cut our bets 17 00:01:12,840 --> 00:01:16,360 Speaker 3: for a FED rate cut in December to as low 18 00:01:16,400 --> 00:01:18,920 Speaker 3: as a fifty percent chance. Now we're off by three percent. 19 00:01:19,240 --> 00:01:21,560 Speaker 3: This is the worst week since the beginning of September 20 00:01:21,600 --> 00:01:23,839 Speaker 3: for the NASDAC. Just bear that in mind. Four straight 21 00:01:23,920 --> 00:01:26,200 Speaker 3: days of losses. We thank one of our producers for 22 00:01:26,240 --> 00:01:28,039 Speaker 3: that particular key fat. That is the worst set of 23 00:01:28,040 --> 00:01:30,440 Speaker 3: losses that we've seen going back to April. On a 24 00:01:30,480 --> 00:01:33,720 Speaker 3: back to back basis. We're looking at bitcoin though managers 25 00:01:33,720 --> 00:01:36,120 Speaker 3: to continue to power higher on the week but not 26 00:01:36,240 --> 00:01:36,720 Speaker 3: on the day. 27 00:01:36,880 --> 00:01:38,199 Speaker 5: Bitcoin up some fifteen percent. 28 00:01:38,200 --> 00:01:40,640 Speaker 3: It's a seven day version of this end because trades 29 00:01:40,680 --> 00:01:41,320 Speaker 3: over the weekend. 30 00:01:41,560 --> 00:01:43,760 Speaker 5: What are you looking at on a micro basis, Yeah, I. 31 00:01:43,760 --> 00:01:46,640 Speaker 4: Think part of the reason that the overall euphoria's faded 32 00:01:46,680 --> 00:01:49,880 Speaker 4: post election is the hearing now is about technology earnings. 33 00:01:50,120 --> 00:01:54,520 Speaker 4: Applied Materials is the biggest US maker of chip making equipment. 34 00:01:54,560 --> 00:01:57,080 Speaker 4: It's like the US version of ASML. It's given us 35 00:01:57,080 --> 00:01:59,040 Speaker 4: a week outlook. We're going to dig into that later 36 00:01:59,080 --> 00:02:02,160 Speaker 4: in the show. Bloombergsin and King. Clearly the stock is 37 00:02:02,200 --> 00:02:04,000 Speaker 4: down a lot. Then you have Ali Barber. These are 38 00:02:04,000 --> 00:02:07,160 Speaker 4: the US listed shares or ADRs, and we kind. 39 00:02:07,000 --> 00:02:08,079 Speaker 6: Of summer it at the top. 40 00:02:08,400 --> 00:02:12,120 Speaker 4: They're seeing really weak or anemic growth in e commerce 41 00:02:12,160 --> 00:02:15,280 Speaker 4: in China, which is their domestic core business, even if 42 00:02:15,320 --> 00:02:17,399 Speaker 4: they're doing well in other areas. Again, we will dig 43 00:02:17,440 --> 00:02:18,919 Speaker 4: into that a little bit more in just a moment, 44 00:02:19,120 --> 00:02:21,480 Speaker 4: but don't forget earnings is a story from here. Are 45 00:02:21,480 --> 00:02:24,560 Speaker 4: in because the big one next week in Vidia. All 46 00:02:24,639 --> 00:02:26,480 Speaker 4: relevant and we'll get to it later in the program. 47 00:02:26,520 --> 00:02:29,359 Speaker 3: Karen re member the twentieth after the market, All eyes 48 00:02:29,400 --> 00:02:31,480 Speaker 3: on Nvidia, all eyes on what's moving the markets right here, 49 00:02:31,520 --> 00:02:34,399 Speaker 3: right now. Bloomberg of course as well. Lee is over 50 00:02:34,440 --> 00:02:36,760 Speaker 3: in Boston today. Just tell us what you're looking at 51 00:02:36,760 --> 00:02:37,760 Speaker 3: in the market. 52 00:02:38,120 --> 00:02:40,359 Speaker 7: I'm looking at tech and it's really interesting because it's 53 00:02:40,360 --> 00:02:42,639 Speaker 7: a weight and see for all these tech companies, they're 54 00:02:42,639 --> 00:02:46,240 Speaker 7: really struggling to parse out what a second Trump administration will. 55 00:02:46,600 --> 00:02:47,120 Speaker 5: We'll do it. 56 00:02:47,120 --> 00:02:50,520 Speaker 7: It doesn't help the Trump personally. This likes meta and alphabet. 57 00:02:50,680 --> 00:02:52,520 Speaker 7: And if you look at the stocks, they're reflecting that. 58 00:02:52,639 --> 00:02:55,560 Speaker 7: While we have Tesla up at about twenty percent for 59 00:02:55,600 --> 00:02:58,160 Speaker 7: a good reason, which is Elon Musk, the rest are 60 00:02:58,240 --> 00:03:00,560 Speaker 7: really trading flat. And then as that, as you pointed out, 61 00:03:00,639 --> 00:03:03,239 Speaker 7: is down for a four straight day, so that's really 62 00:03:03,280 --> 00:03:05,760 Speaker 7: a really long stretch of losing streak. If you want 63 00:03:05,760 --> 00:03:08,400 Speaker 7: to see the where we're seeing action, of course, it's Bitcoin. 64 00:03:08,480 --> 00:03:12,040 Speaker 7: It's up thirty percent ever since Trump has declared victory. 65 00:03:12,320 --> 00:03:15,600 Speaker 7: And we're looking actually at the sailor buffet ratio so 66 00:03:15,720 --> 00:03:20,520 Speaker 7: as we know, Warren Buffett's Berkshire Hasaway is an established company, 67 00:03:20,600 --> 00:03:23,360 Speaker 7: it tracks more in names so to speak, and micro 68 00:03:23,440 --> 00:03:27,080 Speaker 7: Strategy tracks Bitcoin well. That ratio, which measures the relative 69 00:03:27,120 --> 00:03:30,600 Speaker 7: stock performance of both so its highest level since two 70 00:03:30,680 --> 00:03:33,720 Speaker 7: thousand and it's not really a surprise because micro Strategy 71 00:03:34,120 --> 00:03:37,520 Speaker 7: is up over four hundred percent while Berkshire Hathaway is 72 00:03:37,600 --> 00:03:40,200 Speaker 7: up just around thirty one percent. And for more conviction, 73 00:03:40,320 --> 00:03:43,880 Speaker 7: we saw six billion flowing through crypto funds. That's a record, Caroline, 74 00:03:43,920 --> 00:03:46,760 Speaker 7: So it's really interesting to see the two spaces as 75 00:03:46,760 --> 00:03:48,560 Speaker 7: this administration plays out. 76 00:03:48,880 --> 00:03:51,680 Speaker 4: Okay, bloombergs Isabelle Lee, thank you very much. We mentioned 77 00:03:51,680 --> 00:03:54,920 Speaker 4: it a moment ago, Ali Barber reporting some solid growth 78 00:03:54,960 --> 00:03:59,160 Speaker 4: in its businesses outside of China international cloud divisions and 79 00:03:59,200 --> 00:04:01,560 Speaker 4: that kind of helped set some of the drag from 80 00:04:01,600 --> 00:04:04,000 Speaker 4: an anemic Chinese e commerce business. 81 00:04:03,960 --> 00:04:04,440 Speaker 6: Going back to. 82 00:04:04,440 --> 00:04:07,600 Speaker 4: Henry Wren out of London's been tracking this print and 83 00:04:07,680 --> 00:04:08,960 Speaker 4: that sums up the story. 84 00:04:09,000 --> 00:04:11,320 Speaker 6: But what's going on, particularly. 85 00:04:10,800 --> 00:04:14,800 Speaker 4: In mainland China with the Chinese consumer that has at 86 00:04:14,880 --> 00:04:18,040 Speaker 4: least the US listed shares moving downwards. 87 00:04:19,040 --> 00:04:22,120 Speaker 8: And as you said, this is certainly a result that 88 00:04:22,200 --> 00:04:24,640 Speaker 8: has some good and bad But the bad part is 89 00:04:24,760 --> 00:04:28,200 Speaker 8: of course the local e commerce business, because this is 90 00:04:28,240 --> 00:04:31,400 Speaker 8: the two thirds of ali Baba's revenue generation, and what 91 00:04:31,480 --> 00:04:35,200 Speaker 8: we've been seeing for this quarter is still anemic because 92 00:04:35,920 --> 00:04:39,440 Speaker 8: the revenue that ali Baba generates from third party merchants 93 00:04:39,839 --> 00:04:42,800 Speaker 8: that grew only two percent during the quarter, So that's 94 00:04:42,920 --> 00:04:46,560 Speaker 8: not a sort of rebound that investors have been hoping for. 95 00:04:46,800 --> 00:04:50,679 Speaker 8: And a direct cell from Ali Baba's platform also stuck 96 00:04:50,720 --> 00:04:53,520 Speaker 8: in the decline as well. That really shows that consumer 97 00:04:53,640 --> 00:04:57,279 Speaker 8: sentiment in China is still weak, although this morning that 98 00:04:57,320 --> 00:05:00,920 Speaker 8: we have some more positive retail sales state data in 99 00:05:01,120 --> 00:05:05,080 Speaker 8: October showing that the retail sales actually expanded by four 100 00:05:05,080 --> 00:05:08,800 Speaker 8: point eight percent, which is the fastest pace in eight months. However, 101 00:05:08,839 --> 00:05:11,560 Speaker 8: we have to take in an account that these results 102 00:05:11,640 --> 00:05:15,560 Speaker 8: came between June and September, and during that period we 103 00:05:15,640 --> 00:05:17,760 Speaker 8: can say that the consumer sentiment. 104 00:05:17,560 --> 00:05:19,640 Speaker 6: Is really not on amend just yet. 105 00:05:20,520 --> 00:05:25,080 Speaker 3: International growth, how resilient is that going to be in 106 00:05:25,080 --> 00:05:29,039 Speaker 3: the face of geopolitical headwinds, most dominantly here in the 107 00:05:29,120 --> 00:05:31,880 Speaker 3: United States we're anticipating in new administration which isn't very 108 00:05:31,960 --> 00:05:32,600 Speaker 3: China friendly. 109 00:05:33,960 --> 00:05:38,359 Speaker 8: Yeah, So, as we discussed the domestic e commerce business 110 00:05:38,440 --> 00:05:42,120 Speaker 8: has been weak for quarters and quarters, so they have 111 00:05:42,240 --> 00:05:45,160 Speaker 8: to find a new growth engine. It used to be Cloud, 112 00:05:45,320 --> 00:05:48,760 Speaker 8: but Cloud that growth engine has been sputtering for several 113 00:05:48,839 --> 00:05:51,320 Speaker 8: quarters in a row. Now it has showed some signs 114 00:05:51,320 --> 00:05:53,800 Speaker 8: of recovery, but still a long way to go. So 115 00:05:54,720 --> 00:05:58,600 Speaker 8: another way to expand is through overseas business. What we 116 00:05:58,640 --> 00:06:02,000 Speaker 8: see from pdd door as well, which we've been seeing 117 00:06:02,000 --> 00:06:03,000 Speaker 8: from team. 118 00:06:03,040 --> 00:06:04,520 Speaker 6: Explosive growth in the US. 119 00:06:04,839 --> 00:06:08,800 Speaker 8: For Ali Baba, the focus has been in other Asian markets. 120 00:06:08,839 --> 00:06:12,360 Speaker 8: We're talking about Malaysia, Indonesia, those markets, and they've been 121 00:06:12,360 --> 00:06:15,840 Speaker 8: doing quite well, although we would have to point out 122 00:06:15,960 --> 00:06:18,280 Speaker 8: that Ali Baba is still burning. 123 00:06:17,920 --> 00:06:19,200 Speaker 6: Cash in those markets. 124 00:06:19,320 --> 00:06:22,080 Speaker 8: What we've been seeing in the past quarter is they 125 00:06:22,080 --> 00:06:25,640 Speaker 8: are narrowing losses and we see the margins has been improving, 126 00:06:25,960 --> 00:06:28,800 Speaker 8: although it's still some distance away from break even. 127 00:06:29,400 --> 00:06:32,479 Speaker 3: Henry Wren has been across all of these Chinese e 128 00:06:32,520 --> 00:06:33,240 Speaker 3: commerce players. 129 00:06:33,240 --> 00:06:34,000 Speaker 5: We thank you. 130 00:06:34,320 --> 00:06:36,120 Speaker 3: Now and we're going to turn our attention a minute 131 00:06:36,120 --> 00:06:39,279 Speaker 3: to SpaceX. It's preparing a tender offer in December. The 132 00:06:39,320 --> 00:06:42,200 Speaker 3: two hundred and fifty billion dollar valuation. We're going to 133 00:06:42,240 --> 00:06:43,640 Speaker 3: get to those reports. That's next. 134 00:06:43,880 --> 00:06:44,600 Speaker 5: This is bloe Meg. 135 00:06:44,520 --> 00:06:58,080 Speaker 4: Technology SpaceX is preparing to launch a tender offer in 136 00:06:58,160 --> 00:07:01,440 Speaker 4: December that will sell existing shares in the business at 137 00:07:01,480 --> 00:07:04,440 Speaker 4: about one hundred and thirty five dollars each. That's according 138 00:07:04,440 --> 00:07:08,080 Speaker 4: to a report in the Financial Times, where they cited sources. 139 00:07:08,480 --> 00:07:11,000 Speaker 4: Bloomberg's Bris ein Horn is here with us and Bruce 140 00:07:11,080 --> 00:07:14,000 Speaker 4: just for a Bloomberg technology audience. The basics a tender 141 00:07:14,120 --> 00:07:18,960 Speaker 4: is where employees or some early investors sell shares. There's 142 00:07:19,000 --> 00:07:22,320 Speaker 4: no new capital raise. The main point, I think is 143 00:07:22,440 --> 00:07:24,920 Speaker 4: a valuation of two hundred and fifty billion dollars or 144 00:07:24,920 --> 00:07:28,280 Speaker 4: more is quite eye watering. Put SpaceX up there. What 145 00:07:28,360 --> 00:07:29,000 Speaker 4: else do we know? 146 00:07:29,800 --> 00:07:30,240 Speaker 9: That's right? 147 00:07:30,280 --> 00:07:34,360 Speaker 10: And so typically SpaceX does these offerings twice a year. 148 00:07:35,000 --> 00:07:39,119 Speaker 10: The previous valuation, which was in mid year, was around 149 00:07:39,160 --> 00:07:42,320 Speaker 10: two hundred and ten billion dollars, So two hundred and 150 00:07:42,360 --> 00:07:44,800 Speaker 10: fifty billion dollars of course a big jump up. It 151 00:07:44,840 --> 00:07:46,560 Speaker 10: would be a record for a US company. It's not 152 00:07:46,640 --> 00:07:48,840 Speaker 10: a record for a startup. The record for a startup 153 00:07:49,200 --> 00:07:51,880 Speaker 10: is two hundred and sixty eight billion dollars for Byte 154 00:07:51,880 --> 00:07:56,480 Speaker 10: downs to the Chinese parent of TikTok. Just to give 155 00:07:56,480 --> 00:07:59,840 Speaker 10: you a sense of just how much SpaceX's valuation has increased. 156 00:07:59,840 --> 00:08:02,840 Speaker 10: A year ago, when there was a similar offer, the 157 00:08:02,960 --> 00:08:05,920 Speaker 10: valuation was one hundred and eighty billion dollars. 158 00:08:06,800 --> 00:08:10,520 Speaker 3: It feels for some as though the valuation goes higher, 159 00:08:10,680 --> 00:08:14,680 Speaker 3: maybe it gets a Trump Elon Musk bump. Maybe everyone's 160 00:08:14,720 --> 00:08:17,640 Speaker 3: just trying to plow in money to associate themselves with 161 00:08:17,680 --> 00:08:21,280 Speaker 3: the success of Elon Musk and the considerable perhaps ease 162 00:08:21,360 --> 00:08:25,800 Speaker 3: with which he'll get better regulatory approvals when he's associated 163 00:08:25,840 --> 00:08:28,800 Speaker 3: with the next administration. Is that something you eyeing, Bruce, certainly, 164 00:08:29,080 --> 00:08:31,760 Speaker 3: gwinnshot while the president of SpaceX is talking about that 165 00:08:31,880 --> 00:08:32,720 Speaker 3: very thing this morning. 166 00:08:34,200 --> 00:08:36,720 Speaker 10: It's a good point that, of course Elon Musk does 167 00:08:36,800 --> 00:08:40,400 Speaker 10: have the ear of President elect Trump. That said, though 168 00:08:40,440 --> 00:08:43,280 Speaker 10: this is a lot more than just a politics story. 169 00:08:44,240 --> 00:08:48,679 Speaker 10: Starlink has more than six thousand satellites in operation. Gwinshot 170 00:08:48,679 --> 00:08:52,000 Speaker 10: well this morning, speaking at a conference in New York, 171 00:08:52,200 --> 00:08:56,120 Speaker 10: said that the company has launched more than seven thousand satellites. 172 00:08:57,400 --> 00:09:01,760 Speaker 10: This puts Starlink far ahead of any competitor. So they 173 00:09:01,760 --> 00:09:04,200 Speaker 10: are really the dominant player for now, at least in 174 00:09:04,280 --> 00:09:09,719 Speaker 10: lower th orbit. The satellite communication, which the valuation partly reflects. 175 00:09:10,320 --> 00:09:13,800 Speaker 4: You know, Bruce, the focus on SpaceX is about reusability. 176 00:09:14,240 --> 00:09:16,640 Speaker 4: The Falcon generation of rocket can go up and then 177 00:09:16,679 --> 00:09:19,160 Speaker 4: come back down and be used again. But our attention 178 00:09:19,320 --> 00:09:22,199 Speaker 4: is going to turn to Starship. What did Shotwell say 179 00:09:22,240 --> 00:09:25,040 Speaker 4: about Starship? And I guess should the audience be looking 180 00:09:25,040 --> 00:09:27,000 Speaker 4: out to see another test anytime soon? 181 00:09:27,840 --> 00:09:30,760 Speaker 10: Yes, so there will be another test soon. This morning 182 00:09:31,240 --> 00:09:35,320 Speaker 10: Gwinschotwell said that we should expect that on Tuesday next week. 183 00:09:36,120 --> 00:09:39,000 Speaker 10: This would be the latest test of Starship. Starship is 184 00:09:39,160 --> 00:09:42,559 Speaker 10: just a level, a whole other level bigger than anything 185 00:09:42,600 --> 00:09:47,680 Speaker 10: that's existed up until now. And in her comments this morning, 186 00:09:48,160 --> 00:09:52,600 Speaker 10: she also did say that the company expects to launch 187 00:09:52,640 --> 00:09:56,040 Speaker 10: direct to sell service sometime before the end of the year, 188 00:09:56,080 --> 00:09:58,559 Speaker 10: sometime in the next month or so. That would also 189 00:09:59,120 --> 00:10:03,640 Speaker 10: put SpaceX out front in another business that's really just 190 00:10:03,640 --> 00:10:07,640 Speaker 10: getting started, offering satellite based communication that could go directly 191 00:10:07,679 --> 00:10:10,040 Speaker 10: to cell phones without having to have any sort of 192 00:10:10,559 --> 00:10:12,800 Speaker 10: satellite dish or any other type of equipment. 193 00:10:13,280 --> 00:10:16,320 Speaker 3: More than four hundred Starship launches are possible in the 194 00:10:16,360 --> 00:10:20,120 Speaker 3: next four years, according to Quench Shutwell, extraordinary numbers on 195 00:10:20,240 --> 00:10:23,720 Speaker 3: both evaluation and the amount of launches. Briseiinhorn, we thank 196 00:10:23,760 --> 00:10:27,680 Speaker 3: you Meanwhile, let's talk about Elon Masqu's Tesla seeing a 197 00:10:27,720 --> 00:10:30,080 Speaker 3: big reaction alongside other EV makers. 198 00:10:30,080 --> 00:10:32,319 Speaker 5: Today we get a reprieve. It was yesterday that a. 199 00:10:32,280 --> 00:10:35,240 Speaker 3: Report hit from Reuter's saying that Donald Trump and his 200 00:10:35,320 --> 00:10:38,000 Speaker 3: administration is set to end some seven and a half 201 00:10:38,040 --> 00:10:40,760 Speaker 3: thousand dollars EV tax credits that are currently out there. 202 00:10:41,200 --> 00:10:44,199 Speaker 3: Joining us is Terry o Day, in charge Energy COO Terry. 203 00:10:44,360 --> 00:10:46,200 Speaker 3: So the point here is that when you buy an 204 00:10:46,200 --> 00:10:48,640 Speaker 3: EV you can get a nice, juicy tax credits seven 205 00:10:48,679 --> 00:10:50,520 Speaker 3: and a half thousand dollars and that would be wiped 206 00:10:50,520 --> 00:10:52,880 Speaker 3: out potentially by the next administration. 207 00:10:53,000 --> 00:10:56,640 Speaker 5: How important, How integral is that tax credit to demand? 208 00:10:57,720 --> 00:11:00,160 Speaker 11: Well, it's not clear yet, but we do know that 209 00:11:00,200 --> 00:11:03,440 Speaker 11: it is important. It's very valuable to the industry, and 210 00:11:04,520 --> 00:11:08,200 Speaker 11: it's important because of both consumers relying on it and 211 00:11:08,320 --> 00:11:11,600 Speaker 11: manufacturers relying on it. So it's really about EV jobs 212 00:11:11,880 --> 00:11:15,920 Speaker 11: when it comes down to it. And the current incentive 213 00:11:16,480 --> 00:11:19,960 Speaker 11: is only available to American made vehicles, So what we're 214 00:11:19,960 --> 00:11:24,160 Speaker 11: really talking about is manufacturing in the US, and that's 215 00:11:24,160 --> 00:11:26,320 Speaker 11: why this comes as a bit of a surprise. And 216 00:11:26,600 --> 00:11:30,880 Speaker 11: the last time this personal tax credit was challenged, it 217 00:11:31,000 --> 00:11:34,160 Speaker 11: had a lot of support in Congress from states that 218 00:11:34,240 --> 00:11:38,360 Speaker 11: are manufacturing the components for electric vehicles, like states like 219 00:11:38,400 --> 00:11:42,600 Speaker 11: Tennessee and South Carolina and Michigan and Illinois. They wanted 220 00:11:42,640 --> 00:11:44,959 Speaker 11: to protect jobs and that's why they protected this tax 221 00:11:44,960 --> 00:11:47,840 Speaker 11: credit last time. So we'll see how this proposal goes 222 00:11:47,840 --> 00:11:48,440 Speaker 11: in Congress. 223 00:11:49,920 --> 00:11:54,040 Speaker 3: Many of those states, not blue states per se, potentially 224 00:11:54,120 --> 00:11:58,280 Speaker 3: read and therefore affecting home territory to certain extent for 225 00:11:58,400 --> 00:12:01,120 Speaker 3: your business, when you think about the infrastructure play of this, 226 00:12:01,320 --> 00:12:03,800 Speaker 3: does this set back the adoption. 227 00:12:03,440 --> 00:12:04,640 Speaker 5: Of evs in the longer term? 228 00:12:04,679 --> 00:12:07,000 Speaker 3: Do you think I know it's hypothesis here, but does 229 00:12:07,040 --> 00:12:10,440 Speaker 3: that make you think about readjusting your strategy? 230 00:12:10,480 --> 00:12:11,960 Speaker 12: It definitely has that potential. 231 00:12:12,000 --> 00:12:15,280 Speaker 11: I mean, for our business, we rely on demand from 232 00:12:15,360 --> 00:12:19,880 Speaker 11: consumers and from businesses, so this is a personal task 233 00:12:19,920 --> 00:12:23,600 Speaker 11: credit for individuals. There are other incentives in the industry 234 00:12:23,640 --> 00:12:27,359 Speaker 11: that are definitely on the shopping block from this administration. 235 00:12:27,920 --> 00:12:31,760 Speaker 11: So there's an important fight to protect a lot of 236 00:12:31,800 --> 00:12:32,720 Speaker 11: those incentives. 237 00:12:32,760 --> 00:12:38,160 Speaker 4: Now, Terry, you said this is a surprise, is it really? 238 00:12:38,800 --> 00:12:42,120 Speaker 4: Elon Musk has been talking about scrapping subsidies for years. 239 00:12:43,200 --> 00:12:44,360 Speaker 6: He has been close to. 240 00:12:44,360 --> 00:12:48,640 Speaker 4: Trump throughout the election process and now in an advisory 241 00:12:48,760 --> 00:12:52,240 Speaker 4: role because those will out act outside of government. 242 00:12:52,400 --> 00:12:54,000 Speaker 6: He will have Trump's here. 243 00:12:54,480 --> 00:12:58,560 Speaker 4: But also we had decelerating EV sales growth anyway for 244 00:12:58,600 --> 00:13:01,679 Speaker 4: the latter part of biden'sministration. Why is it a surprise to. 245 00:13:01,640 --> 00:13:04,920 Speaker 11: You, Well, I think decelerating sales growth was going to 246 00:13:04,960 --> 00:13:07,840 Speaker 11: happen anyway, right, because when you're growing year over year 247 00:13:07,960 --> 00:13:10,960 Speaker 11: double digits, you cannot continue that forever, just the law 248 00:13:11,120 --> 00:13:14,800 Speaker 11: numbers doesn't allow it. So deceleration was going to happen. 249 00:13:15,280 --> 00:13:18,480 Speaker 11: But this incentive has broad support, as I was saying, 250 00:13:18,520 --> 00:13:20,400 Speaker 11: So that's why it comes as a bit of a surprise. 251 00:13:20,480 --> 00:13:23,079 Speaker 11: And to be saying this so early in the transition 252 00:13:23,640 --> 00:13:26,600 Speaker 11: is I think also kind of surprising. Look, this is 253 00:13:26,720 --> 00:13:31,720 Speaker 11: not a significant tax credit and the range of new 254 00:13:31,760 --> 00:13:34,439 Speaker 11: tax policy we're going to be seeing coming out of 255 00:13:34,480 --> 00:13:40,600 Speaker 11: this administration, and it favors US manufacturing, which this new 256 00:13:40,600 --> 00:13:43,560 Speaker 11: administration has been saying is what they really want. 257 00:13:44,000 --> 00:13:47,840 Speaker 12: So they're looking for manufacturing. This is something that does that. 258 00:13:48,960 --> 00:13:51,080 Speaker 4: Terry, Don't get me wrong, I've got a Tesla model 259 00:13:51,080 --> 00:13:53,000 Speaker 4: why I think Carroy I'm right and saying, also has 260 00:13:53,000 --> 00:13:56,079 Speaker 4: an EV I leased it. It was a competitive lease 261 00:13:56,200 --> 00:13:58,920 Speaker 4: because of the seventy five hundred dollars tax credit. But 262 00:13:59,080 --> 00:14:02,200 Speaker 4: big picture, what is it that's going to put electric 263 00:14:02,280 --> 00:14:05,160 Speaker 4: vehicle sales in North America at least back on a 264 00:14:05,200 --> 00:14:08,400 Speaker 4: path to accelerating sales growth. What do you want to 265 00:14:08,400 --> 00:14:12,480 Speaker 4: see proactively the Trump administration do well? 266 00:14:12,559 --> 00:14:15,160 Speaker 11: The most important thing is that California has the right 267 00:14:15,240 --> 00:14:18,520 Speaker 11: to regulate tailpipe emissions today, and about a dozen other 268 00:14:18,600 --> 00:14:19,640 Speaker 11: states have signed. 269 00:14:19,360 --> 00:14:19,880 Speaker 12: On to that. 270 00:14:20,320 --> 00:14:25,560 Speaker 11: They have regulations forthcoming that are affecting fleets, So fleets 271 00:14:25,600 --> 00:14:29,800 Speaker 11: would be required to buy evs when those fleets are 272 00:14:29,920 --> 00:14:34,400 Speaker 11: larger than fifty vehicles in their fleet, and manufacturers would 273 00:14:34,440 --> 00:14:38,120 Speaker 11: be required to sell to those fleets, so that dual 274 00:14:38,200 --> 00:14:43,640 Speaker 11: regulation is in jeopardy. And overall, California's right to regulate 275 00:14:43,720 --> 00:14:47,440 Speaker 11: tailpipe emissions is what created the EV industry in the 276 00:14:47,440 --> 00:14:50,440 Speaker 11: first place. We think we can compete on an equal 277 00:14:50,440 --> 00:14:54,360 Speaker 11: footing with gas and diesel. Today, my customers like PEPSI 278 00:14:54,480 --> 00:14:57,920 Speaker 11: and FedEx and ups and school districts across the country 279 00:14:57,920 --> 00:15:01,080 Speaker 11: are already saving money by going to electric because it's 280 00:15:01,160 --> 00:15:04,359 Speaker 11: cheaper than gas and diesel on a total operating cost. 281 00:15:04,520 --> 00:15:06,640 Speaker 12: So we think we can compete on an equal putting. 282 00:15:06,640 --> 00:15:08,880 Speaker 11: But it's important to have these regulations in place to 283 00:15:09,000 --> 00:15:11,480 Speaker 11: just kind of get over the hump of these pilot 284 00:15:11,520 --> 00:15:13,240 Speaker 11: programs and enable it. 285 00:15:13,160 --> 00:15:14,120 Speaker 12: To go to scale. 286 00:15:15,600 --> 00:15:18,080 Speaker 3: In so saying that terry, it almost makes you think, well, 287 00:15:18,080 --> 00:15:20,920 Speaker 3: why have them if already you're able to compete. That's 288 00:15:20,920 --> 00:15:24,280 Speaker 3: sort of therein lies the argument, and going back to 289 00:15:24,320 --> 00:15:26,720 Speaker 3: the consumer right now, is it that you need to 290 00:15:26,760 --> 00:15:29,880 Speaker 3: compete by what you do. Many people are reticent to 291 00:15:29,920 --> 00:15:31,840 Speaker 3: commit fully to an EV. They've been going back to 292 00:15:31,880 --> 00:15:36,400 Speaker 3: a hybrid model because they're worried about infrastructure and alack thereof. 293 00:15:37,080 --> 00:15:38,600 Speaker 12: Yeah, and that's the real trick here. 294 00:15:38,640 --> 00:15:41,560 Speaker 11: I think, you know, committing capital to build out an 295 00:15:41,560 --> 00:15:46,119 Speaker 11: industry like this is extremely risky. So those regulations provide 296 00:15:46,200 --> 00:15:52,280 Speaker 11: the guardrails for investment. It attracts private investment and creates jobs. 297 00:15:52,400 --> 00:15:55,240 Speaker 11: And so that's really what this is about, is not 298 00:15:55,520 --> 00:15:59,360 Speaker 11: the you know, favoring one industry over another, but really 299 00:15:59,440 --> 00:16:03,240 Speaker 11: just giving enough certainty to investors that they can put 300 00:16:03,360 --> 00:16:07,040 Speaker 11: capital into the space to continue to grow that charging infrastructure, 301 00:16:07,400 --> 00:16:10,480 Speaker 11: to continue to convert their fleets and do the things 302 00:16:10,480 --> 00:16:12,000 Speaker 11: that we want to do for this space. 303 00:16:13,160 --> 00:16:15,440 Speaker 4: President Elect Trump's point, i think is not that he's 304 00:16:15,480 --> 00:16:18,280 Speaker 4: antiev but that he's not fully all in ev he 305 00:16:18,320 --> 00:16:21,840 Speaker 4: wants choice. Terry O'Day in charge energy. Soah, great to 306 00:16:21,880 --> 00:16:30,880 Speaker 4: have you on the program. 307 00:16:30,960 --> 00:16:32,120 Speaker 9: We're just getting started. 308 00:16:32,160 --> 00:16:35,680 Speaker 13: And the thing I remember about last week is when 309 00:16:35,720 --> 00:16:38,200 Speaker 13: Donald Trump was in this room, everybody else was celebrating. 310 00:16:39,040 --> 00:16:41,880 Speaker 13: He was stone cold ready for the next step. But 311 00:16:41,920 --> 00:16:44,040 Speaker 13: I also want to thank him for making sure that 312 00:16:44,400 --> 00:16:46,480 Speaker 13: Elon Musk and I own a position to start the 313 00:16:46,560 --> 00:16:51,440 Speaker 13: mass deportations of millions of unelected federal bureaucrats out of 314 00:16:51,480 --> 00:16:54,760 Speaker 13: the DC bureaucracy. That too, is how we're going to 315 00:16:54,840 --> 00:16:58,920 Speaker 13: save this country. And I don't know if you've got 316 00:16:58,920 --> 00:17:01,560 Speaker 13: to know Elon yet, but he doesn't bring a chisel. 317 00:17:01,640 --> 00:17:03,680 Speaker 13: He brings a chainsaw, and we're going to be taking 318 00:17:03,680 --> 00:17:05,200 Speaker 13: it to that bureaucracy. 319 00:17:05,200 --> 00:17:06,160 Speaker 9: It's gonna be a lot of fun. 320 00:17:07,720 --> 00:17:12,040 Speaker 3: Entrepreneur Vivek Ramaswami, who has recently chosen by President elect 321 00:17:12,040 --> 00:17:15,520 Speaker 3: Donald Trump to co lead the new Department of Government 322 00:17:15,560 --> 00:17:19,280 Speaker 3: Efficiency along with Elon Musk, to cut excess regulation, it says, 323 00:17:19,320 --> 00:17:23,760 Speaker 3: and expenses. Let's discuss this with Jennifer Pallack Pulker. 324 00:17:23,880 --> 00:17:25,159 Speaker 5: Sorry, it's a Friday. 325 00:17:25,240 --> 00:17:29,080 Speaker 3: Jennifer Pulker, Senior Fellow at Niscannon Center and former President 326 00:17:29,119 --> 00:17:32,560 Speaker 3: Barack Obama's deputy Chief Technology offers a boy, you have 327 00:17:32,680 --> 00:17:36,400 Speaker 3: got inside knowledge about how easy or hard it is 328 00:17:36,440 --> 00:17:40,280 Speaker 3: to affect policy change within a civil service that already exists. 329 00:17:40,480 --> 00:17:43,360 Speaker 3: Look Vivek Ramaswami saying it will be fun to take 330 00:17:43,359 --> 00:17:45,959 Speaker 3: a chainsaw to it. For many who work there, this 331 00:17:46,000 --> 00:17:46,640 Speaker 3: won't be fun. 332 00:17:46,880 --> 00:17:47,720 Speaker 5: But what's the reality. 333 00:17:47,760 --> 00:17:50,720 Speaker 3: Do you agree that, in principle efficiency needs to be found? 334 00:17:53,080 --> 00:17:55,520 Speaker 14: I agree that government has to get better at doing 335 00:17:55,520 --> 00:17:57,879 Speaker 14: what we say we're going to do, and I think 336 00:17:58,000 --> 00:18:01,320 Speaker 14: our inability to do that has I've created the opening 337 00:18:01,920 --> 00:18:05,960 Speaker 14: for this DOGE and sort of other initiatives that you 338 00:18:06,000 --> 00:18:08,440 Speaker 14: see coming out of the Trump White House. Now there's 339 00:18:08,800 --> 00:18:13,800 Speaker 14: so many questions about this. You have significant confluence of interest, 340 00:18:14,480 --> 00:18:18,560 Speaker 14: especially for Elon Musk. They have established this thing outside 341 00:18:18,600 --> 00:18:21,199 Speaker 14: of government, so it's unclear if they really intend to 342 00:18:21,359 --> 00:18:25,040 Speaker 14: just rely on executive action or really get. 343 00:18:24,920 --> 00:18:25,800 Speaker 5: Involved with Congress. 344 00:18:25,800 --> 00:18:28,240 Speaker 14: So there's some questions about the whether they can be effective. 345 00:18:29,440 --> 00:18:32,080 Speaker 14: But I do think that there is a real problem 346 00:18:32,119 --> 00:18:36,240 Speaker 14: behind all of this rhetoric that needs to be handled 347 00:18:36,320 --> 00:18:41,600 Speaker 14: with probably more care than the way that Musk and 348 00:18:41,800 --> 00:18:43,560 Speaker 14: Ramaswami are talking about it. 349 00:18:43,680 --> 00:18:45,480 Speaker 3: Jediv I do want to be naive to the fact 350 00:18:45,520 --> 00:18:48,800 Speaker 3: that people have been probably trying to make government more 351 00:18:48,840 --> 00:18:49,960 Speaker 3: efficient for a little while. 352 00:18:50,359 --> 00:18:52,359 Speaker 5: So what is it that hasn't been done? Oh, we 353 00:18:52,440 --> 00:18:53,520 Speaker 5: at the level now. 354 00:18:53,400 --> 00:18:58,439 Speaker 3: That this sort of decision not to care, not to 355 00:18:58,520 --> 00:19:01,199 Speaker 3: be precise, but actually to just go at it with 356 00:19:01,280 --> 00:19:05,200 Speaker 3: the chainsaw. Just every other Social Security number is out. 357 00:19:05,480 --> 00:19:07,800 Speaker 3: Is that the place that we've got ourselves to. 358 00:19:11,000 --> 00:19:13,840 Speaker 14: I don't think it has to be. I think a 359 00:19:13,840 --> 00:19:17,200 Speaker 14: good analogy might be brush fires. So I live part 360 00:19:17,200 --> 00:19:21,040 Speaker 14: time in California in a very very high fire risk area, 361 00:19:21,600 --> 00:19:23,600 Speaker 14: and I was told when we moved there, you know, 362 00:19:24,240 --> 00:19:27,560 Speaker 14: backwen natives all in the land, there were fifteen trees 363 00:19:27,640 --> 00:19:31,399 Speaker 14: per acre, sorry, yes, per acre, and now there's fifteen 364 00:19:31,520 --> 00:19:35,520 Speaker 14: hundred and so the fires now are bigger, and we 365 00:19:35,600 --> 00:19:39,080 Speaker 14: can do fire management. Now, we've learned a lot, and 366 00:19:39,119 --> 00:19:41,959 Speaker 14: we can mitigate the worst damage. 367 00:19:42,359 --> 00:19:44,280 Speaker 5: But when you haven't cleared out. 368 00:19:44,119 --> 00:19:46,520 Speaker 14: The craft for many years, and I think that is 369 00:19:46,600 --> 00:19:49,520 Speaker 14: unfortunately what has happened in our government is that we haven't, 370 00:19:49,880 --> 00:19:52,919 Speaker 14: then we get these conflagrations. 371 00:19:51,880 --> 00:19:53,440 Speaker 5: That burn out of control. 372 00:19:53,960 --> 00:19:56,120 Speaker 14: I hope we can stop that, but we are going 373 00:19:56,119 --> 00:19:58,239 Speaker 14: to have some burning, and some of it will end 374 00:19:58,280 --> 00:20:01,159 Speaker 14: up being healthy over the long run. It's in a 375 00:20:01,359 --> 00:20:04,200 Speaker 14: difficult situation to be in, and I think that public 376 00:20:04,280 --> 00:20:06,640 Speaker 14: servants to Jennifer feel nervous about this, have. 377 00:20:06,600 --> 00:20:10,679 Speaker 4: A road to be We heard from Vivek Ramaswami in 378 00:20:10,680 --> 00:20:12,800 Speaker 4: that SoundBite, but I had an exchange with him on 379 00:20:13,080 --> 00:20:16,760 Speaker 4: x the social media platform yesterday, and as part of 380 00:20:16,800 --> 00:20:21,040 Speaker 4: that exchange, I flagged the idea that investors are basically 381 00:20:21,200 --> 00:20:26,439 Speaker 4: selling out of companies that are historically main contractors to 382 00:20:26,480 --> 00:20:27,000 Speaker 4: the government. 383 00:20:27,280 --> 00:20:28,000 Speaker 6: For a reason. 384 00:20:28,400 --> 00:20:32,080 Speaker 4: They think that you know that mister Ramaswami, who calls 385 00:20:32,200 --> 00:20:34,040 Speaker 4: Uncle Sam not supposed. 386 00:20:33,600 --> 00:20:37,040 Speaker 6: To be Uncle Sucker. They think he'll be successful. I 387 00:20:37,119 --> 00:20:38,680 Speaker 6: guess that I would just like you. 388 00:20:38,640 --> 00:20:42,760 Speaker 4: To outline the reality of doing that, canceling long term contracts, 389 00:20:42,920 --> 00:20:46,879 Speaker 4: looking at automate vendors, and ultimately reducing headcamp at government 390 00:20:46,920 --> 00:20:50,320 Speaker 4: agencies based on your experience having worked within it. 391 00:20:52,840 --> 00:20:54,160 Speaker 5: If we do that, there. 392 00:20:54,000 --> 00:20:57,760 Speaker 14: Will be damage in all sorts of ways. There's going 393 00:20:57,800 --> 00:20:59,240 Speaker 14: to be damage to. 394 00:21:00,760 --> 00:21:02,760 Speaker 5: Our ability to protect our nuclear arsenal. 395 00:21:02,800 --> 00:21:06,120 Speaker 14: For instance, Michael Lewis writes about this in the fifth Risk. 396 00:21:06,400 --> 00:21:08,280 Speaker 5: It will chill your bones. We do not want that. 397 00:21:09,200 --> 00:21:12,880 Speaker 14: On the other hand, we do need some changes, and 398 00:21:13,080 --> 00:21:16,040 Speaker 14: we need when we do those changes to be thoughtful 399 00:21:16,640 --> 00:21:20,840 Speaker 14: about preserving the foundations that this country is built on. Now, 400 00:21:20,840 --> 00:21:23,479 Speaker 14: this isn't a Doge proposal, but if you look at 401 00:21:23,480 --> 00:21:27,520 Speaker 14: the schedule F proposal, for instance, it's not actually addressing 402 00:21:27,760 --> 00:21:31,960 Speaker 14: the real problems of being difficult to fire under performers, 403 00:21:31,960 --> 00:21:36,120 Speaker 14: for instance. It's going at the core principles of a 404 00:21:36,240 --> 00:21:39,600 Speaker 14: independent civil service that's able to tell the truth, that 405 00:21:40,200 --> 00:21:44,040 Speaker 14: is hired and fired on the basis of merit. We 406 00:21:44,080 --> 00:21:46,720 Speaker 14: need real civil service reform, not schedule F. 407 00:21:47,119 --> 00:21:50,080 Speaker 4: Jennifer Palker, Senior fellow at NISCAN and sent I really 408 00:21:50,119 --> 00:21:59,080 Speaker 4: appreciate your time here on Bloomberg Technology. 409 00:22:00,480 --> 00:22:02,800 Speaker 3: Welcome back to Blue Meg Technology. I'm Caroline Hyde in 410 00:22:02,800 --> 00:22:04,080 Speaker 3: New York and I met. 411 00:22:04,000 --> 00:22:06,439 Speaker 6: Love Low in San Francisco. What's going on in the market, Scarret, 412 00:22:07,240 --> 00:22:07,960 Speaker 6: I've risk off. 413 00:22:07,880 --> 00:22:08,400 Speaker 5: Kind of a day. 414 00:22:08,440 --> 00:22:11,199 Speaker 3: Look, we're back to fundamentals yourfuria. The highs of the 415 00:22:11,240 --> 00:22:13,840 Speaker 3: Trump trade just ease a little bit, and we've refocused 416 00:22:13,880 --> 00:22:15,880 Speaker 3: on the other guy, that is, of course, the head 417 00:22:15,920 --> 00:22:18,320 Speaker 3: of monetary policy. We think about what Jay Power is 418 00:22:18,320 --> 00:22:20,399 Speaker 3: saying in in terms of the FED and rate cuts, 419 00:22:20,440 --> 00:22:23,959 Speaker 3: in the market really pairing back how likely that cut 420 00:22:24,080 --> 00:22:24,880 Speaker 3: is for December. 421 00:22:24,960 --> 00:22:26,160 Speaker 5: We're off by almost three percent. 422 00:22:26,240 --> 00:22:28,120 Speaker 3: You can see the sudden jarring move that we've got 423 00:22:28,119 --> 00:22:30,159 Speaker 3: on this last day of trade. It is the worst 424 00:22:30,200 --> 00:22:32,840 Speaker 3: week for the Nasdaq, the main benchmark now's that one 425 00:22:32,960 --> 00:22:35,480 Speaker 3: hundred at least since going back to the beginning of September. 426 00:22:35,560 --> 00:22:36,920 Speaker 3: So we have got a sort of a bit of 427 00:22:36,960 --> 00:22:38,480 Speaker 3: a pain trade to end the week. Move on and 428 00:22:38,480 --> 00:22:40,360 Speaker 3: have a look at what's happening on the individual movers 429 00:22:40,640 --> 00:22:42,680 Speaker 3: because we're actually back to fundamentals when it comes to 430 00:22:42,760 --> 00:22:45,359 Speaker 3: earnings as well. Ed I China, like what's happening with 431 00:22:45,359 --> 00:22:46,119 Speaker 3: some of the chip makers. 432 00:22:46,119 --> 00:22:47,560 Speaker 5: Firstly, Tesla is up four percent. 433 00:22:47,600 --> 00:22:50,480 Speaker 3: It's like the only Magnificent seven company that is on 434 00:22:50,520 --> 00:22:53,920 Speaker 3: the higher side from the benchmark today it pulls up, 435 00:22:53,960 --> 00:22:55,800 Speaker 3: but the rest of the Mags seven are pulling down 436 00:22:56,000 --> 00:22:58,960 Speaker 3: on a points perspective, and really that's a relief rally 437 00:22:59,000 --> 00:23:01,240 Speaker 3: after yesterday's sell off from the back of that ev news. 438 00:23:01,359 --> 00:23:04,560 Speaker 3: Applying Materials down eight percent, we're seeing it trade at 439 00:23:04,560 --> 00:23:06,480 Speaker 3: the lowest level since February of this year. This is 440 00:23:06,520 --> 00:23:09,119 Speaker 3: a chip equipment maker like asml over in Europe. This 441 00:23:09,200 --> 00:23:12,520 Speaker 3: is the US version, and look, it's signaling that perhaps 442 00:23:12,680 --> 00:23:15,000 Speaker 3: everything in Chipland isn't all that rosy if you strip 443 00:23:15,000 --> 00:23:17,760 Speaker 3: out AI again, we're thinking industrial or thinking autos, and 444 00:23:17,800 --> 00:23:19,879 Speaker 3: we're thinking China. And I'm looking at in video what 445 00:23:19,920 --> 00:23:21,879 Speaker 3: does this reader cross mean for in video? When we 446 00:23:21,920 --> 00:23:25,520 Speaker 3: get its earnings on November the twentieth ed key for 447 00:23:25,520 --> 00:23:27,160 Speaker 3: there were down by two and a half percent. Of course, 448 00:23:27,200 --> 00:23:28,960 Speaker 3: the key points drag on the day. What are you 449 00:23:28,960 --> 00:23:29,840 Speaker 3: looking at? 450 00:23:30,160 --> 00:23:31,600 Speaker 4: Well, let's go back to the chips and do a 451 00:23:31,600 --> 00:23:33,520 Speaker 4: deep dive bloomberg z and King is here with us 452 00:23:33,520 --> 00:23:37,280 Speaker 4: in San Francisco on Applied Materials. It's interesting because part 453 00:23:37,320 --> 00:23:40,280 Speaker 4: of kind of the bigger tech markets discussion is we've 454 00:23:40,320 --> 00:23:41,440 Speaker 4: got over the election. 455 00:23:41,240 --> 00:23:42,800 Speaker 6: Now and earnings are with US. 456 00:23:43,480 --> 00:23:47,479 Speaker 4: Applied Materials is America's biggest chip equipment maker. Was there 457 00:23:47,520 --> 00:23:49,520 Speaker 4: anything in it that was kind of consistent with what 458 00:23:49,520 --> 00:23:53,200 Speaker 4: we've heard from ASML the big themes about AI investment 459 00:23:53,280 --> 00:23:56,359 Speaker 4: and those cutting edge machines or China or anything else. 460 00:23:56,520 --> 00:23:59,240 Speaker 15: Yeah, No, that's one hundred percent consistent with what we've 461 00:23:59,240 --> 00:24:03,399 Speaker 15: heard from others. Spoke with the CEO yesterday after the 462 00:24:03,440 --> 00:24:05,919 Speaker 15: release and he was like, look, everything's Okay, well, you know, 463 00:24:05,960 --> 00:24:08,199 Speaker 15: there's nothing to worry about. The long term picture for 464 00:24:08,240 --> 00:24:11,280 Speaker 15: this industry is fantastic. I'm not going to worry about, 465 00:24:11,400 --> 00:24:13,679 Speaker 15: you know, the odd fluctuation here and there on a 466 00:24:13,760 --> 00:24:18,520 Speaker 15: quarterly basis. Unfortunately for him, investors are because you know, 467 00:24:18,840 --> 00:24:20,840 Speaker 15: you have to be perfect with the amount of money 468 00:24:20,880 --> 00:24:24,119 Speaker 15: that's been put into these stocks, with the expectations that 469 00:24:24,160 --> 00:24:28,879 Speaker 15: exist around AI. Our performance is the only performance. 470 00:24:29,400 --> 00:24:31,720 Speaker 3: Well said, I think a prior to this on the year, 471 00:24:31,760 --> 00:24:33,760 Speaker 3: they had actually been up to the tune of about 472 00:24:33,880 --> 00:24:34,600 Speaker 3: fifteen percent. 473 00:24:34,640 --> 00:24:37,439 Speaker 5: Now were only up about five percent. In the reader 474 00:24:37,480 --> 00:24:39,760 Speaker 5: cross is important because we're all. 475 00:24:39,640 --> 00:24:42,520 Speaker 3: Going to be obsessing about in video next week, and 476 00:24:42,800 --> 00:24:45,040 Speaker 3: this is your main company that you focus on. 477 00:24:45,160 --> 00:24:46,440 Speaker 5: What does it mean for in video? 478 00:24:47,359 --> 00:24:47,600 Speaker 9: Yeah? 479 00:24:47,640 --> 00:24:51,280 Speaker 15: I mean again, the word AIAIAI keeps cropping up over 480 00:24:51,320 --> 00:24:53,920 Speaker 15: and over again. What we've heard with regards to in 481 00:24:54,040 --> 00:24:56,240 Speaker 15: video has been very positive. 482 00:24:56,359 --> 00:24:56,479 Speaker 11: Right. 483 00:24:56,720 --> 00:24:59,000 Speaker 15: The only thing that's going to hold them back will 484 00:24:59,000 --> 00:25:02,639 Speaker 15: be availability of supply. Can they get enough chips to 485 00:25:02,680 --> 00:25:06,440 Speaker 15: meet demand. Everything that we're hearing in terms of the fundamentals, 486 00:25:06,480 --> 00:25:08,280 Speaker 15: in terms of the sell through, in terms of the 487 00:25:08,320 --> 00:25:10,680 Speaker 15: capex's planned is absolutely positive. 488 00:25:11,240 --> 00:25:16,440 Speaker 4: You've reported overnight that TSMC, the world's largest contract manufacturer 489 00:25:16,440 --> 00:25:19,919 Speaker 4: of chips, is finalizing its awards from the US government 490 00:25:19,920 --> 00:25:23,719 Speaker 4: through the Chips Act. What's new and why is that significant? 491 00:25:23,920 --> 00:25:27,000 Speaker 15: Oh, it's now a legally binding contract between the United 492 00:25:27,000 --> 00:25:31,680 Speaker 15: States government and TSMC. So not I won't say there's 493 00:25:31,680 --> 00:25:34,399 Speaker 15: no going back, but it makes going back a lot harder. 494 00:25:35,160 --> 00:25:38,120 Speaker 15: It shows that they've already achieved some of the things 495 00:25:38,119 --> 00:25:39,800 Speaker 15: that they were supposed to do. They're going to get 496 00:25:39,840 --> 00:25:42,760 Speaker 15: a billion dollars of federal money this year, we were 497 00:25:42,760 --> 00:25:46,040 Speaker 15: told yesterday. So in general it's a positive sign. It's 498 00:25:46,359 --> 00:25:50,920 Speaker 15: moving that whole bill forward, obviously ahead of the administration handover. 499 00:25:51,040 --> 00:25:53,879 Speaker 6: Blimbozy and King and all things chips. Thank you very much, Carol. 500 00:25:54,480 --> 00:25:56,800 Speaker 3: Sticking with chips a little bit, it's time for talking 501 00:25:56,880 --> 00:26:00,800 Speaker 3: tech ed and first up shares of Samsung. They'd been 502 00:26:00,920 --> 00:26:03,520 Speaker 3: up in South Korean trade today because the tech giant 503 00:26:03,560 --> 00:26:07,159 Speaker 3: is surprising investors with a mammoth buyback of seven billion 504 00:26:07,200 --> 00:26:09,320 Speaker 3: dollars worth of its own stock over the next year. 505 00:26:09,520 --> 00:26:11,840 Speaker 3: The move comes, of course, the mid investor concerns that 506 00:26:12,640 --> 00:26:15,359 Speaker 3: the growth in the firm's memory chip business has been lackluster, 507 00:26:15,600 --> 00:26:19,359 Speaker 3: Struggling to keep up with rival sk Heinex, for example. Meanwhile, 508 00:26:19,359 --> 00:26:21,879 Speaker 3: Elon Musk was ramping up his feud with Sam Altman. 509 00:26:22,200 --> 00:26:25,199 Speaker 3: In a revised court filing must highlighted and trust concerns 510 00:26:25,200 --> 00:26:27,919 Speaker 3: by OpenAI, alleging that the company is trying to corner 511 00:26:27,960 --> 00:26:30,880 Speaker 3: the Generator AI market and sacrificing safety. 512 00:26:31,240 --> 00:26:33,000 Speaker 5: OpenAI didn't immediately respond to. 513 00:26:33,000 --> 00:26:37,160 Speaker 3: A request for comment, and the Ultimate Fighting Championship will 514 00:26:37,200 --> 00:26:40,000 Speaker 3: be looking for a decade long partnership when it shops 515 00:26:40,000 --> 00:26:42,280 Speaker 3: around its media rights next year. This is all according 516 00:26:42,280 --> 00:26:44,560 Speaker 3: to the company CEO Dana White, who sat down with 517 00:26:44,600 --> 00:26:47,680 Speaker 3: Boomberg TV yesterday. He also spoke about his relationship with 518 00:26:47,680 --> 00:26:48,600 Speaker 3: the President elect Trump. 519 00:26:48,640 --> 00:26:49,200 Speaker 5: Just take a listen. 520 00:26:50,080 --> 00:26:52,640 Speaker 16: He's the one that when we first bought the company 521 00:26:52,880 --> 00:26:57,760 Speaker 16: and venues didn't love the UFC. Back then, he opened 522 00:26:57,840 --> 00:27:00,400 Speaker 16: up the TAJ and New Jersey and said, we did 523 00:27:00,400 --> 00:27:02,800 Speaker 16: our first couple of events there at the TAJ and 524 00:27:03,240 --> 00:27:05,320 Speaker 16: he showed up for the first one and stayed till 525 00:27:05,320 --> 00:27:07,080 Speaker 16: the last fight. That was when he became a fan. 526 00:27:07,200 --> 00:27:08,880 Speaker 12: I know you've been friends with him for a long time. 527 00:27:08,920 --> 00:27:11,320 Speaker 12: Any plans to actually work for him in his new administration. 528 00:27:11,440 --> 00:27:13,200 Speaker 16: I want nothing to do with politics. 529 00:27:13,400 --> 00:27:14,440 Speaker 9: No I do not I know. 530 00:27:16,280 --> 00:27:20,400 Speaker 4: Let's stay in the realm of fighting and competitive sports. 531 00:27:20,480 --> 00:27:23,840 Speaker 4: Netflix shares actually down two percent. Remember tonight is the 532 00:27:23,880 --> 00:27:27,520 Speaker 4: big fight. It is streamed exclusively on Netflix. Jake Paul 533 00:27:27,640 --> 00:27:30,399 Speaker 4: versus Mike Tyson. Don't know about you, Carrot. It's been 534 00:27:30,440 --> 00:27:34,280 Speaker 4: all over my social media feeds and it's an interesting 535 00:27:34,320 --> 00:27:37,320 Speaker 4: moment for Netflix whether they can pull off There he 536 00:27:37,400 --> 00:27:40,160 Speaker 4: is and there he Is. We'll be tuning in one 537 00:27:40,240 --> 00:27:42,320 Speaker 4: to watch. You can discuss it on the show on Monday. 538 00:27:42,640 --> 00:27:45,399 Speaker 4: Coming up on this edition of Bloombog Technology. Business leaders 539 00:27:45,400 --> 00:27:48,679 Speaker 4: from around the world are gathered in Lima for apex 540 00:27:48,840 --> 00:27:52,680 Speaker 4: CEO summit. That includes Google's VP of Government Affairs Corumbatia, 541 00:27:52,800 --> 00:27:55,040 Speaker 4: and we're going to hear from him next Stay with us. 542 00:27:55,200 --> 00:28:12,840 Speaker 6: This has Boombog Technology. 543 00:28:06,000 --> 00:28:09,320 Speaker 3: Apex CEO Summit. It's been underway for the last few days. 544 00:28:09,119 --> 00:28:09,760 Speaker 5: In Lima, Peru. 545 00:28:10,040 --> 00:28:12,560 Speaker 3: Global business leaders gathered to discuss the latest in the 546 00:28:12,600 --> 00:28:14,920 Speaker 3: space sector, in AI policy, and much more. 547 00:28:15,400 --> 00:28:16,480 Speaker 5: Most Lisa Bromo, it's. 548 00:28:16,359 --> 00:28:19,959 Speaker 3: Actually sat down with Google's VP of Government Affairs, Kuran Batia. 549 00:28:20,000 --> 00:28:20,520 Speaker 5: Take a listen. 550 00:28:21,760 --> 00:28:25,479 Speaker 17: In all honesty, I've been here today. The conversation actually 551 00:28:25,480 --> 00:28:29,560 Speaker 17: has mostly been and I've been meeting with foreign ministries 552 00:28:29,600 --> 00:28:34,879 Speaker 17: government officials has really mostly been about how can they 553 00:28:35,000 --> 00:28:39,040 Speaker 17: get the benefits of this amazing new technological revolution that's 554 00:28:39,040 --> 00:28:42,680 Speaker 17: happening around artificial intelligence. So they want to hear about 555 00:28:43,920 --> 00:28:46,560 Speaker 17: what can they be doing in terms of building infrastructure, 556 00:28:46,600 --> 00:28:49,160 Speaker 17: what can they be doing in terms of skilling their people. 557 00:28:49,680 --> 00:28:51,960 Speaker 17: There are you know, there's an awareness that there is 558 00:28:52,040 --> 00:28:57,200 Speaker 17: geopolitics that impacts the technology sector as well as everything else. 559 00:28:57,440 --> 00:28:59,880 Speaker 17: But frankly, it's been interesting to me to see how 560 00:29:00,120 --> 00:29:04,800 Speaker 17: much interest and appetite there is around getting that technological edge. 561 00:29:05,120 --> 00:29:07,920 Speaker 18: So how much have you been surprised or why is 562 00:29:07,920 --> 00:29:10,920 Speaker 18: it important for Google to be so heavily invested in 563 00:29:11,040 --> 00:29:13,880 Speaker 18: areas like Latin America, like zact East Asia. 564 00:29:14,120 --> 00:29:16,640 Speaker 17: Well, first of all, it kind of starts with our 565 00:29:16,840 --> 00:29:20,320 Speaker 17: mission as a company, which is to organize the world's 566 00:29:20,360 --> 00:29:23,600 Speaker 17: information and make it universally accessible and useful. 567 00:29:23,640 --> 00:29:25,640 Speaker 9: And that universal part. 568 00:29:25,560 --> 00:29:27,400 Speaker 5: Is really core to our being. 569 00:29:27,520 --> 00:29:31,479 Speaker 17: It's a recognition that Google's not fulfilling its mission if 570 00:29:31,480 --> 00:29:37,200 Speaker 17: we're not operating in places like Latin America, like Southeast Asia, 571 00:29:37,280 --> 00:29:41,080 Speaker 17: East Asia. So I think part of it literally has 572 00:29:41,120 --> 00:29:43,640 Speaker 17: to do with what it is we do every day, 573 00:29:43,840 --> 00:29:47,040 Speaker 17: and as the technology expands and as our business expands, 574 00:29:47,360 --> 00:29:48,360 Speaker 17: these regions. 575 00:29:48,040 --> 00:29:49,280 Speaker 12: Become more and more important. 576 00:29:49,720 --> 00:29:52,920 Speaker 17: Obviously, you can't look at the growth that's happening in 577 00:29:53,000 --> 00:29:57,600 Speaker 17: places in East Asia. Latin American markets are doing very 578 00:29:57,600 --> 00:30:00,640 Speaker 17: well and not being encouraged by sort of we're seeing. 579 00:30:03,000 --> 00:30:06,160 Speaker 4: That was Corumbatia, Google VP of Global Public Policy and 580 00:30:06,160 --> 00:30:09,240 Speaker 4: Government Relations. Let's get out to Lima, Peru and bring 581 00:30:09,240 --> 00:30:12,160 Speaker 4: in Bloombergs Lisa Rumvitz, who's been there for a few days. 582 00:30:12,200 --> 00:30:15,160 Speaker 4: And what's notable is the presence of big tech, right, 583 00:30:15,240 --> 00:30:18,680 Speaker 4: not just Google, Microsoft as well. What is it that 584 00:30:18,720 --> 00:30:20,520 Speaker 4: they were actually doing there, like give us a bit 585 00:30:20,560 --> 00:30:22,720 Speaker 4: more of a sense of the role that those tech 586 00:30:22,760 --> 00:30:24,080 Speaker 4: names played in the discussion. 587 00:30:26,800 --> 00:30:28,800 Speaker 18: It's a good question, And first I just want to 588 00:30:28,840 --> 00:30:31,080 Speaker 18: say it is notable that the big tech firms were 589 00:30:31,200 --> 00:30:34,360 Speaker 18: here because there were so many US companies that were absent. 590 00:30:34,600 --> 00:30:35,360 Speaker 5: We saw big. 591 00:30:35,200 --> 00:30:38,959 Speaker 18: Tech, we saw energy companies, we saw JP Morgan, but 592 00:30:39,040 --> 00:30:41,760 Speaker 18: other than that, US companies were kind of more on 593 00:30:41,800 --> 00:30:44,880 Speaker 18: the sidelines and Chinese companies much more present. Now when 594 00:30:44,920 --> 00:30:47,040 Speaker 18: you talk about some of the big tech names, they 595 00:30:47,040 --> 00:30:48,840 Speaker 18: want to make sure that they get their footprint as 596 00:30:48,880 --> 00:30:52,360 Speaker 18: everybody clamorous for the artificial intelligence bedrock that a lot 597 00:30:52,360 --> 00:30:55,600 Speaker 18: of people think will establish the next generation of business. 598 00:30:55,680 --> 00:30:58,640 Speaker 18: But here's the question, how can they do that when 599 00:30:58,720 --> 00:31:01,880 Speaker 18: regulatory regimes are not set? And that was sort of 600 00:31:01,920 --> 00:31:05,000 Speaker 18: the big existential aggs hanging over all of this. How 601 00:31:05,000 --> 00:31:07,840 Speaker 18: do you deal with the fact that President Trump, president 602 00:31:07,840 --> 00:31:11,200 Speaker 18: elect Trump will have different policies than President Biden, and 603 00:31:11,240 --> 00:31:13,360 Speaker 18: that even now we don't have a real sense of 604 00:31:13,400 --> 00:31:15,920 Speaker 18: what counts as national security when some of these companies 605 00:31:15,920 --> 00:31:17,680 Speaker 18: are expanding and what does. 606 00:31:17,520 --> 00:31:21,800 Speaker 3: It so true? Lisa, and we heard from Xijingping at 607 00:31:21,800 --> 00:31:24,680 Speaker 3: the event, the Chinese narrative coming and saying, look, let's 608 00:31:24,720 --> 00:31:29,240 Speaker 3: not backtrack, let's stick to a global economy here. But 609 00:31:29,360 --> 00:31:31,800 Speaker 3: how much do you take that at face value at 610 00:31:31,800 --> 00:31:35,600 Speaker 3: the moment? How all companies able to invest? 611 00:31:37,080 --> 00:31:39,719 Speaker 18: Well, this is a good question, and the answer is 612 00:31:39,760 --> 00:31:42,280 Speaker 18: they look at where they can and what they do know. 613 00:31:42,560 --> 00:31:44,080 Speaker 18: And I think that a lot of these companies have 614 00:31:44,200 --> 00:31:46,760 Speaker 18: made inroads when it comes to, for example, big tech. 615 00:31:46,800 --> 00:31:50,440 Speaker 18: They're looking for countries that have some energy infrastructure. So 616 00:31:50,480 --> 00:31:53,720 Speaker 18: a place like this which has a copper and lithium 617 00:31:53,760 --> 00:31:57,720 Speaker 18: and a whole host of other natural renewable energy sources 618 00:31:58,280 --> 00:32:01,200 Speaker 18: that is appealing on the large your scale, though, there 619 00:32:01,280 --> 00:32:04,000 Speaker 18: is a hesitance in certain sectors to really invest, and 620 00:32:04,040 --> 00:32:05,880 Speaker 18: you are seeing that, which is maybe why you're not 621 00:32:05,920 --> 00:32:09,560 Speaker 18: seeing some of the more consumer facing sectors like retail 622 00:32:10,160 --> 00:32:13,160 Speaker 18: really coming down here. But you're right, there is this 623 00:32:13,280 --> 00:32:16,440 Speaker 18: question of how do you invest in a time of change. 624 00:32:16,600 --> 00:32:18,960 Speaker 18: The answer is carefully, and that's what people are saying. 625 00:32:19,000 --> 00:32:21,560 Speaker 18: You are seeing on the margins, but it's select industries 626 00:32:21,760 --> 00:32:24,040 Speaker 18: and otherwise there is a bit of a paralysis as 627 00:32:24,080 --> 00:32:27,040 Speaker 18: people try to figure out what exactly comes next. 628 00:32:27,320 --> 00:32:31,520 Speaker 3: Lisa so busy, great conversations, key among them, Jamie Dimond. 629 00:32:31,560 --> 00:32:34,160 Speaker 3: We appreciate it, Lisa Bramowitz. On the ground there in Peru. 630 00:32:34,640 --> 00:32:37,480 Speaker 3: There's so much to unpack from the US election in 631 00:32:37,560 --> 00:32:41,280 Speaker 3: terms of geopolitics as well from a venture capital standpoint too, 632 00:32:41,320 --> 00:32:43,160 Speaker 3: from AI policies, tax implications. 633 00:32:43,360 --> 00:32:45,480 Speaker 5: Let's just get to it with a race between US 634 00:32:45,520 --> 00:32:45,960 Speaker 5: and China. 635 00:32:46,160 --> 00:32:48,960 Speaker 3: Let's discuss it with a venture investing on today's VC Spotlight. 636 00:32:49,000 --> 00:32:52,760 Speaker 3: Alfred Chuang Founer, General partner at Race Capital. Someone who 637 00:32:52,840 --> 00:32:56,040 Speaker 3: has built businesses yourself, be a systems for example, And 638 00:32:56,560 --> 00:32:59,040 Speaker 3: I'm really interested Alfred at this moment of how much 639 00:32:59,080 --> 00:33:03,800 Speaker 3: you are putting your mind to the future of US 640 00:33:03,920 --> 00:33:07,520 Speaker 3: China relations, the US global relations at this point. 641 00:33:08,520 --> 00:33:10,680 Speaker 1: Apparently, good morning, thank you for having me back by. 642 00:33:10,800 --> 00:33:11,440 Speaker 1: Good to CEEO. 643 00:33:12,960 --> 00:33:15,640 Speaker 9: This is a very interesting time. But I think just. 644 00:33:16,480 --> 00:33:18,880 Speaker 1: If you look at where all the activities are in 645 00:33:18,960 --> 00:33:21,920 Speaker 1: tech and inventure at this point, pretty much everything is 646 00:33:22,000 --> 00:33:25,000 Speaker 1: AI driven, whether they are like what we do, which 647 00:33:25,040 --> 00:33:28,000 Speaker 1: is straight in the plumbing. So I'm like the plumber 648 00:33:28,160 --> 00:33:31,760 Speaker 1: of Silicon Valley. Try to ment all the infrastructure, which 649 00:33:31,800 --> 00:33:35,240 Speaker 1: is all the critical pieces to enable the enterprise application. 650 00:33:35,760 --> 00:33:38,600 Speaker 1: Do now have a new network inside and be able 651 00:33:38,640 --> 00:33:40,960 Speaker 1: to be very smart and be very efficient and be 652 00:33:41,680 --> 00:33:45,880 Speaker 1: extraordinarily efficient. The China and the US part of it 653 00:33:45,920 --> 00:33:48,520 Speaker 1: is because the way that we train the data for 654 00:33:48,640 --> 00:33:51,800 Speaker 1: the large model itself, we're not completely separated. 655 00:33:51,840 --> 00:33:53,840 Speaker 9: So there's a model for China, there's. 656 00:33:53,720 --> 00:33:56,760 Speaker 1: A completely different model what we've been doing actual multiple 657 00:33:56,760 --> 00:33:58,360 Speaker 1: models in the United States. 658 00:33:58,840 --> 00:34:00,360 Speaker 9: Because I think a lot of it has to do 659 00:34:00,440 --> 00:34:01,000 Speaker 9: with history. 660 00:34:01,560 --> 00:34:04,040 Speaker 1: Our data are just so much more organized, and we 661 00:34:04,080 --> 00:34:07,000 Speaker 1: have systems that we've been preparing for the past decade, 662 00:34:07,000 --> 00:34:08,600 Speaker 1: you know, like all the things that we're put into 663 00:34:09,040 --> 00:34:13,040 Speaker 1: Spark data breaks, for example, we're all grape preparation for 664 00:34:13,239 --> 00:34:16,320 Speaker 1: organizing this data to make the computer thing like human. 665 00:34:16,680 --> 00:34:18,880 Speaker 1: So US has a huge advantage at this point in 666 00:34:18,920 --> 00:34:22,480 Speaker 1: time and time and getting ahead of this program. 667 00:34:23,160 --> 00:34:26,799 Speaker 3: I'm interested in just the supply chains fact a bit 668 00:34:26,840 --> 00:34:29,880 Speaker 3: there out for you talk about the efficiency, the clear 669 00:34:30,040 --> 00:34:33,200 Speaker 3: efficiency that's been built in the US, but we're about 670 00:34:33,200 --> 00:34:35,120 Speaker 3: to pledge you see, tariffs, so that we can't be 671 00:34:35,239 --> 00:34:37,600 Speaker 3: unaware of the fact that a lot of things are important, 672 00:34:37,800 --> 00:34:41,840 Speaker 3: even at the most high end technological element. Will that 673 00:34:42,480 --> 00:34:45,800 Speaker 3: put pains to efficiency here in the US. 674 00:34:46,239 --> 00:34:48,520 Speaker 1: I think there's already pain. I think obviously there's more 675 00:34:48,560 --> 00:34:50,920 Speaker 1: pain to the people that are not now allowed to 676 00:34:50,960 --> 00:34:52,960 Speaker 1: be importing the eight one hundred and one hundred form 677 00:34:53,000 --> 00:34:56,640 Speaker 1: En video. They're equivalently Obviously, supply chain is not like 678 00:34:56,640 --> 00:34:58,600 Speaker 1: what it used to be before COVID, so we have that 679 00:34:58,640 --> 00:35:01,680 Speaker 1: slowdown already at this point in time. There's never back 680 00:35:01,719 --> 00:35:04,200 Speaker 1: to non one. By the way, we are still very 681 00:35:04,239 --> 00:35:06,960 Speaker 1: behind in this country. So we're you know, we don't 682 00:35:06,960 --> 00:35:10,319 Speaker 1: have any babs right well, pfares have limited availability. We 683 00:35:10,360 --> 00:35:12,840 Speaker 1: are dependent on loot of fabs in Taiwan. Some of 684 00:35:12,880 --> 00:35:15,960 Speaker 1: these lower trips are building China still, so there's call 685 00:35:16,040 --> 00:35:18,920 Speaker 1: dependency between these countries in order to continue to advance. 686 00:35:18,960 --> 00:35:20,240 Speaker 9: At Ai and. 687 00:35:20,080 --> 00:35:23,960 Speaker 1: I'm you know, have great Hopdad, or the great reasons 688 00:35:23,960 --> 00:35:27,200 Speaker 1: of continuing to progress mankind, we don't start this trade 689 00:35:27,520 --> 00:35:28,879 Speaker 1: and which I don't think that will be the case, 690 00:35:28,920 --> 00:35:30,480 Speaker 1: because it just will be dysfunction. 691 00:35:33,160 --> 00:35:35,440 Speaker 4: I want to think about the environment a bit, Alfred. 692 00:35:35,560 --> 00:35:38,880 Speaker 4: This week, for example, my colleagues and I reported that 693 00:35:39,040 --> 00:35:42,799 Speaker 4: Data Breaks is doing a tender largely for employee liquidity. 694 00:35:43,400 --> 00:35:45,400 Speaker 4: And that's a name that Data Breaks. That that's in 695 00:35:45,440 --> 00:35:48,799 Speaker 4: your portfolio. But there are signed things are happening right, 696 00:35:49,040 --> 00:35:51,160 Speaker 4: whether it's the IPO market, whether it's. 697 00:35:51,040 --> 00:35:52,680 Speaker 6: Different kinds of exits through M and A. 698 00:35:53,239 --> 00:35:55,000 Speaker 4: I'm going to ask you what you think kind of 699 00:35:55,040 --> 00:36:00,000 Speaker 4: happens next, particularly under a Trump administration, for your portfolio 700 00:36:00,000 --> 00:36:02,880 Speaker 4: companies and vcs that are looking for an exit. 701 00:36:03,640 --> 00:36:03,879 Speaker 9: Yeah. 702 00:36:04,560 --> 00:36:06,919 Speaker 1: At Berger to CEO, thank you for having me back. 703 00:36:08,520 --> 00:36:11,759 Speaker 1: Database is in the unique case Database perhaps, which I 704 00:36:11,800 --> 00:36:16,560 Speaker 1: believe is probably the best, the most exciting, the fastest 705 00:36:16,560 --> 00:36:21,799 Speaker 1: growing large enterprise tech company and run by probably the 706 00:36:21,800 --> 00:36:23,000 Speaker 1: best CEO ever. 707 00:36:23,280 --> 00:36:26,359 Speaker 9: In enterprise tech. So they're in a unique place. I think. 708 00:36:26,440 --> 00:36:29,840 Speaker 1: Whatever they're going to do in fundraising is their choice 709 00:36:29,880 --> 00:36:32,440 Speaker 1: that they decided not to go to the proper marketplace 710 00:36:32,680 --> 00:36:34,960 Speaker 1: they might have qualified to do so. And I think 711 00:36:34,960 --> 00:36:37,359 Speaker 1: that's just by choice. And I think that choice come 712 00:36:37,440 --> 00:36:40,560 Speaker 1: from which I believe in the past ten days is 713 00:36:40,640 --> 00:36:43,080 Speaker 1: kind of how we feel with all the founders in 714 00:36:43,080 --> 00:36:46,040 Speaker 1: the valley, which is we're going through a rebook process. 715 00:36:46,200 --> 00:36:49,640 Speaker 1: Does rebook process will likely have a chance pose to 716 00:36:49,680 --> 00:36:56,120 Speaker 1: relook at how the SEC, the FDC, the CTPB, how 717 00:36:56,160 --> 00:36:59,120 Speaker 1: they're going to be conducting business, on their policies, how 718 00:36:59,120 --> 00:37:01,480 Speaker 1: they're going to regulate, how to get regularly AI, how 719 00:37:01,520 --> 00:37:05,560 Speaker 1: they're going to regulate other webprear technology, cryptos and other things. 720 00:37:05,640 --> 00:37:07,360 Speaker 1: And I think we kind of were stuck for the 721 00:37:07,440 --> 00:37:10,000 Speaker 1: last two three years, you know, in a place where 722 00:37:10,080 --> 00:37:13,000 Speaker 1: it's very difficult to get anything. Then from that perspective, 723 00:37:13,280 --> 00:37:16,400 Speaker 1: very little company, one IPO, very m and A happened. 724 00:37:16,719 --> 00:37:18,360 Speaker 9: So I think there's a. 725 00:37:17,880 --> 00:37:20,279 Speaker 1: Lot of new hook you know, we don't know, Yeah, 726 00:37:20,280 --> 00:37:22,560 Speaker 1: I mean, the new admonstration won't start until the twentyeth 727 00:37:23,320 --> 00:37:26,080 Speaker 1: of January. How are they going to do to do 728 00:37:26,120 --> 00:37:29,840 Speaker 1: things differently to kind of re enable this ability to 729 00:37:29,880 --> 00:37:30,160 Speaker 1: do some. 730 00:37:30,160 --> 00:37:30,800 Speaker 9: Of these things. 731 00:37:30,960 --> 00:37:34,120 Speaker 1: So I think I'm very optimistic I think next year 732 00:37:34,200 --> 00:37:37,080 Speaker 1: is going to be an unreal great year for innovation 733 00:37:37,239 --> 00:37:39,560 Speaker 1: and for our venture deployment. 734 00:37:39,200 --> 00:37:44,920 Speaker 6: Capital out for it very quickly. 735 00:37:46,080 --> 00:37:50,160 Speaker 4: The next area of growth for you, the fair the 736 00:37:50,239 --> 00:37:53,600 Speaker 4: next area of growth. Where are you looking right now? 737 00:37:53,640 --> 00:37:54,920 Speaker 4: We just have ten seconds? 738 00:37:55,200 --> 00:37:59,920 Speaker 1: Okay, ten seconds without a doubt, AI enabled enterprise applications. 739 00:38:00,200 --> 00:38:03,480 Speaker 1: Let's gette hundred percent efficiency on every individual they're using 740 00:38:03,560 --> 00:38:04,360 Speaker 1: enterprice computing. 741 00:38:04,920 --> 00:38:06,080 Speaker 9: That's where the growth would be. 742 00:38:06,320 --> 00:38:07,240 Speaker 6: That was ten seconds. 743 00:38:07,239 --> 00:38:10,320 Speaker 4: Alfred Trunk, founder and Race General Partner at Race Capital, 744 00:38:10,480 --> 00:38:22,000 Speaker 4: Thank you very much. Plantable Foods has already harnessed the 745 00:38:22,080 --> 00:38:25,800 Speaker 4: power of plants to manufacture the Ruby protein, which comes 746 00:38:26,040 --> 00:38:28,680 Speaker 4: from duck weed. Now the company's looking to grow the 747 00:38:28,719 --> 00:38:32,120 Speaker 4: popularity of the nutrient rich products with a new thirty 748 00:38:32,160 --> 00:38:35,320 Speaker 4: million dollars Series B funding. Round here with more Plantable 749 00:38:35,360 --> 00:38:38,600 Speaker 4: co founder Tony Martin's bacchini and welcome to the program. 750 00:38:38,719 --> 00:38:39,000 Speaker 9: Thank you. 751 00:38:39,640 --> 00:38:42,960 Speaker 4: Also known as water lentils. If you're not familiar with 752 00:38:43,040 --> 00:38:46,200 Speaker 4: duck weed, I don't really know where to start other 753 00:38:46,239 --> 00:38:50,000 Speaker 4: than you have some specific technology that has made something 754 00:38:50,080 --> 00:38:52,440 Speaker 4: others have tried a success. 755 00:38:53,000 --> 00:38:54,279 Speaker 6: Yeah, well we really tried to do it. 756 00:38:54,360 --> 00:38:57,360 Speaker 19: Plantable is to work backwards from what the food industry needs, right. 757 00:38:57,440 --> 00:38:59,480 Speaker 19: I think over the past couple of years, we've seen 758 00:38:59,600 --> 00:39:04,360 Speaker 19: the food industry being overwhelmed with synthetic, unhealthy or elecgenic ingredients, 759 00:39:04,560 --> 00:39:07,799 Speaker 19: and we started to look for a natural successor to 760 00:39:07,920 --> 00:39:11,400 Speaker 19: these unhealthy ingredients that they're using today. We found that 761 00:39:11,440 --> 00:39:14,000 Speaker 19: in an enzyme known as ribisco, which is funnily enough, 762 00:39:14,040 --> 00:39:16,680 Speaker 19: one of the most abundant proteins on the planet and 763 00:39:16,840 --> 00:39:19,440 Speaker 19: millions of people are consuming it on a daily basis 764 00:39:19,440 --> 00:39:22,400 Speaker 19: because it's present in every leafy green. Now, then we 765 00:39:22,440 --> 00:39:25,160 Speaker 19: started to look for the most cost efficient and environmentally 766 00:39:25,160 --> 00:39:28,360 Speaker 19: friendly way of scaling ribisco, and we found that in 767 00:39:28,400 --> 00:39:31,879 Speaker 19: this aquatic plant known as lemna or some other people 768 00:39:31,920 --> 00:39:33,080 Speaker 19: might call it water lentils. 769 00:39:33,280 --> 00:39:35,120 Speaker 4: And so, why do you need the thirty million dollars 770 00:39:35,400 --> 00:39:36,520 Speaker 4: of what's the process from here? 771 00:39:36,600 --> 00:39:38,399 Speaker 19: Yeah, So over the past couple of years, we've built 772 00:39:38,400 --> 00:39:42,359 Speaker 19: out our first commercial manufacturing module in West Texas, and 773 00:39:43,040 --> 00:39:45,239 Speaker 19: since then we've been able to start to fulfill some 774 00:39:45,280 --> 00:39:47,440 Speaker 19: of the commercial demand that's out there in the market. 775 00:39:47,440 --> 00:39:49,399 Speaker 19: But we're seeing that we aren't really able to keep 776 00:39:49,480 --> 00:39:51,640 Speaker 19: up with the demand that's out there, and so we 777 00:39:51,680 --> 00:39:53,759 Speaker 19: need to thirty million dollars in order to continue to 778 00:39:53,800 --> 00:39:57,240 Speaker 19: expand our manufacturing operations in Texas to fulfill the commercial 779 00:39:57,239 --> 00:39:58,160 Speaker 19: demand that's out there. 780 00:39:58,760 --> 00:40:01,560 Speaker 5: So Tony, am I eating this now? Is it available? 781 00:40:02,840 --> 00:40:03,640 Speaker 6: It is available? 782 00:40:03,719 --> 00:40:05,840 Speaker 19: You can Actually there are some products on the market 783 00:40:06,000 --> 00:40:09,640 Speaker 19: that contain our product at the moment, so absolutely you 784 00:40:09,680 --> 00:40:10,560 Speaker 19: can eat it right now. 785 00:40:10,800 --> 00:40:13,480 Speaker 3: Where are you in sort of the general approvals when 786 00:40:13,480 --> 00:40:16,240 Speaker 3: it comes to FDA, when it comes to Food Science 787 00:40:16,280 --> 00:40:17,360 Speaker 3: Authority as well. 788 00:40:17,960 --> 00:40:20,560 Speaker 19: Yeah, great question. So at the moment we're self affirmed Grass. 789 00:40:20,600 --> 00:40:23,520 Speaker 19: We're working with the FDA to get the final letter 790 00:40:23,680 --> 00:40:27,000 Speaker 19: of no questions from their site. In the meantime, we're 791 00:40:27,000 --> 00:40:29,920 Speaker 19: also working on a formal approval from the European Food 792 00:40:29,920 --> 00:40:32,279 Speaker 19: Safety Authority, which we hope to get by the end 793 00:40:32,280 --> 00:40:34,279 Speaker 19: of twenty twenty five early twenty twenty six. 794 00:40:34,640 --> 00:40:37,480 Speaker 3: What's it like in the world of raising capital for 795 00:40:37,719 --> 00:40:40,640 Speaker 3: food tech ad tech right now? Because it's been through 796 00:40:40,680 --> 00:40:42,120 Speaker 3: to some peaks and troughs, shall we. 797 00:40:42,040 --> 00:40:47,719 Speaker 19: Say, yeah, it's misogonistic as maybe the right word. But 798 00:40:47,840 --> 00:40:50,560 Speaker 19: I think we've been working incredibly hard as a team 799 00:40:50,640 --> 00:40:54,040 Speaker 19: to hit milestone after milestone and that has really allowed 800 00:40:54,120 --> 00:40:56,879 Speaker 19: us to propel the company forward show that we can 801 00:40:56,960 --> 00:40:59,680 Speaker 19: scale up, but also scale out our technology and prove 802 00:40:59,719 --> 00:41:02,839 Speaker 19: that they're true product market fit for our ingredient while 803 00:41:02,840 --> 00:41:05,840 Speaker 19: actually discovering new and new market opportunities every day of 804 00:41:05,880 --> 00:41:06,240 Speaker 19: the week. 805 00:41:06,640 --> 00:41:09,640 Speaker 4: Let's talk about the investors why they're interested in you? 806 00:41:09,840 --> 00:41:12,920 Speaker 4: Are they traditional texts? And how did you go about 807 00:41:12,960 --> 00:41:16,040 Speaker 4: doing this? It's a pretty tough environment. Actually, yeah, it 808 00:41:16,080 --> 00:41:17,200 Speaker 4: is a pretty tough environment. 809 00:41:17,600 --> 00:41:20,080 Speaker 19: I think like, why are these Why are the investors, 810 00:41:20,080 --> 00:41:23,200 Speaker 19: both the financial and the strategic investors interested? Is for 811 00:41:23,239 --> 00:41:25,319 Speaker 19: a couple of reasons, right, I think on the on 812 00:41:25,360 --> 00:41:28,160 Speaker 19: the financial side, we've obviously been able to show the 813 00:41:28,200 --> 00:41:30,759 Speaker 19: de risking of the technology, the de risking of the 814 00:41:30,840 --> 00:41:33,360 Speaker 19: market risk, and it's now a matter of solving the 815 00:41:33,400 --> 00:41:35,400 Speaker 19: operational risk as we move from being an R and 816 00:41:35,440 --> 00:41:38,160 Speaker 19: D company to a full fledged manufacturing company very quickly. 817 00:41:38,239 --> 00:41:39,239 Speaker 6: Chipotle is on there. 818 00:41:39,480 --> 00:41:41,480 Speaker 4: What's the kind of go to market I'm assuming that's 819 00:41:41,480 --> 00:41:44,359 Speaker 4: more a strategic partner, sure, and just financial Yeah. 820 00:41:44,360 --> 00:41:46,680 Speaker 19: I think about Chipotle as a company that's really whose 821 00:41:46,680 --> 00:41:50,520 Speaker 19: mission it is to produce food with integrity and basically 822 00:41:51,120 --> 00:41:54,480 Speaker 19: create delicious, clean label and healthy foods for the consumers 823 00:41:54,480 --> 00:41:54,799 Speaker 19: out there. 824 00:41:54,800 --> 00:41:56,960 Speaker 9: And what we're able to do is We're able. 825 00:41:56,719 --> 00:41:59,080 Speaker 19: To allow them to unlock new recipes or improve their 826 00:41:59,120 --> 00:42:02,560 Speaker 19: current recipes without having to introduce new allergence or food 827 00:42:02,560 --> 00:42:04,560 Speaker 19: safety risk containing ingredients. 828 00:42:04,760 --> 00:42:06,319 Speaker 3: I'm going to look at the ponds near me in 829 00:42:06,360 --> 00:42:08,640 Speaker 3: a whole new way water Lentils. 830 00:42:08,719 --> 00:42:09,279 Speaker 5: That's their name. 831 00:42:09,360 --> 00:42:11,880 Speaker 3: Plantable co founder Tony Martin's bikini. 832 00:42:12,280 --> 00:42:14,600 Speaker 5: Great to have some time with you. Congratulations on the rais. 833 00:42:15,239 --> 00:42:15,439 Speaker 19: Well. 834 00:42:15,640 --> 00:42:17,880 Speaker 5: That does it for this edition of Bloomberg Technology. 835 00:42:18,000 --> 00:42:21,680 Speaker 4: What a week, ed, Yeah, another astonishing week, a historic 836 00:42:21,719 --> 00:42:23,520 Speaker 4: week in many ways in the context of the election, 837 00:42:23,760 --> 00:42:26,279 Speaker 4: but also tech. Check out the podcast It's Worth the 838 00:42:26,320 --> 00:42:30,319 Speaker 4: recap online on Apple, Spotify and also on iHeart. Big 839 00:42:30,360 --> 00:42:32,279 Speaker 4: thank you to the team in New York and here 840 00:42:32,280 --> 00:42:33,280 Speaker 4: in San Francisco. 841 00:42:33,760 --> 00:42:35,319 Speaker 6: This is Bloomberg Technology.