1 00:00:01,639 --> 00:00:05,960 Speaker 1: From Mahart where Innovation, Money and power Collie in Silicon 2 00:00:06,040 --> 00:00:06,920 Speaker 1: Vallet NBN. 3 00:00:07,280 --> 00:00:11,800 Speaker 2: This is Bloomberg Technology with Caroline Hyde and Ed Ludlow. 4 00:00:25,320 --> 00:00:27,680 Speaker 3: Live from New York and San Francisco. This is Bloomberg 5 00:00:27,720 --> 00:00:31,760 Speaker 3: Technology coming up, Big Tech on Deck, Alphabet, AMD, Reddit 6 00:00:31,760 --> 00:00:34,000 Speaker 3: after the bell, will talk you through what to. 7 00:00:34,000 --> 00:00:37,159 Speaker 4: Expect and so Fi just came out with their own earnings. 8 00:00:37,159 --> 00:00:39,440 Speaker 4: This morning, We're gonna speak with the ceo. 9 00:00:39,400 --> 00:00:42,559 Speaker 3: OUs shares of Trump media surge again getting briefly suspended 10 00:00:42,600 --> 00:00:46,640 Speaker 3: amid the volatility. We discussed the election impact across assets, 11 00:00:46,680 --> 00:00:49,760 Speaker 3: but first we check on the markets and I daral 12 00:00:49,840 --> 00:00:53,360 Speaker 3: into what some say is indeed a Trump trade. Bitcoin 13 00:00:53,520 --> 00:00:55,680 Speaker 3: powering ever higher, up another three percent. In fact, we're 14 00:00:55,680 --> 00:00:57,640 Speaker 3: training at the highest since March of this year. What 15 00:00:57,680 --> 00:01:00,160 Speaker 3: happened in March of this year, a record high. We 16 00:01:00,280 --> 00:01:03,360 Speaker 3: clip the seventy four thousand number. Of course, we hit 17 00:01:03,480 --> 00:01:06,160 Speaker 3: just below that back in March of twenty twenty four. 18 00:01:06,319 --> 00:01:08,559 Speaker 3: We're up three percent, and all of this being thought 19 00:01:08,600 --> 00:01:12,160 Speaker 3: of is ultimately risk on many feeling that potentially this 20 00:01:12,200 --> 00:01:15,440 Speaker 3: is a signal of a Trump trade, but also option signaling. Look, 21 00:01:15,440 --> 00:01:17,440 Speaker 3: it's going to eighty thousand in November, no matter what 22 00:01:17,520 --> 00:01:18,440 Speaker 3: the election outcome. 23 00:01:18,520 --> 00:01:19,520 Speaker 5: But and you're looking at the. 24 00:01:19,440 --> 00:01:22,160 Speaker 4: Micro yeah, there's a lot of headlines that's hit in 25 00:01:22,160 --> 00:01:24,119 Speaker 4: the last hour or so. Tesla has seen a lot 26 00:01:24,120 --> 00:01:27,800 Speaker 4: of volatility. Elon Musk, speaking in Saudi Arabia at FII 27 00:01:28,120 --> 00:01:30,120 Speaker 4: and on the Trump trade, he said that actually, if 28 00:01:30,160 --> 00:01:33,560 Speaker 4: Trump gets to office, he's more optimistic his lofty goals 29 00:01:33,560 --> 00:01:35,640 Speaker 4: for SpaceX and Tesla will happen. 30 00:01:35,680 --> 00:01:37,280 Speaker 6: We'll get to that later in the program. 31 00:01:37,400 --> 00:01:41,319 Speaker 4: PayPal gave us guidance for the fourth quarter that missed expectations. 32 00:01:41,560 --> 00:01:43,240 Speaker 4: We will dig into that later in the show. The 33 00:01:43,240 --> 00:01:45,880 Speaker 4: stock on track for its biggest drop since February, and 34 00:01:46,120 --> 00:01:48,400 Speaker 4: big tech in ernest right, I think Alphabet, the parent 35 00:01:48,440 --> 00:01:50,720 Speaker 4: of Google, is the main focus. It's not just the 36 00:01:50,720 --> 00:01:52,400 Speaker 4: big AI name. But if you think about it in 37 00:01:52,440 --> 00:01:55,960 Speaker 4: the stock context, Caro, it's been disappointing. 38 00:01:55,200 --> 00:01:56,200 Speaker 6: For many investors. 39 00:01:56,360 --> 00:01:58,800 Speaker 4: They want signs that all the money being spent on 40 00:01:58,840 --> 00:02:01,520 Speaker 4: AI will translate that growth, particularly in cloud. 41 00:02:01,640 --> 00:02:03,000 Speaker 6: We should probably talk about that. 42 00:02:03,120 --> 00:02:05,600 Speaker 3: We should, and someone's been writing about exactly that, as 43 00:02:05,680 --> 00:02:07,600 Speaker 3: well as all the companies of course that are set 44 00:02:07,640 --> 00:02:11,320 Speaker 3: to report Reddit, AMD SNAP. We think of Google though 45 00:02:11,360 --> 00:02:13,880 Speaker 3: in particular as ed was laying out there, maybe just 46 00:02:13,960 --> 00:02:17,079 Speaker 3: trailing the magnificent seven piers because investors are trying to 47 00:02:17,120 --> 00:02:19,800 Speaker 3: struggle to price in antitrust risks and. 48 00:02:19,480 --> 00:02:20,960 Speaker 5: Many others that confront the company. 49 00:02:21,440 --> 00:02:24,280 Speaker 3: Rand Rastelca is the guy who's been across this and 50 00:02:24,680 --> 00:02:28,080 Speaker 3: that there has been the sideways movement of Alphabet's shares. 51 00:02:28,680 --> 00:02:31,480 Speaker 3: How are people trying to think about any rosiness from 52 00:02:31,480 --> 00:02:33,720 Speaker 3: the earnings dialing into the anti trust picture? 53 00:02:34,960 --> 00:02:36,800 Speaker 7: Good morning, Thanks for having me so, Yeah, those are 54 00:02:36,800 --> 00:02:39,399 Speaker 7: the two major issues people are focused on right now. 55 00:02:39,440 --> 00:02:42,720 Speaker 7: Most everyone I talked to remains pretty positive on Alphabet 56 00:02:42,760 --> 00:02:45,320 Speaker 7: as far as its fundamentals go. It's been showing improved 57 00:02:45,360 --> 00:02:49,440 Speaker 7: results in its cloud business. Advertising seems to be fairly strong, 58 00:02:49,440 --> 00:02:51,600 Speaker 7: which is of course key for the company search business. 59 00:02:51,639 --> 00:02:54,760 Speaker 7: But you do have the anti trust the regulatory picture. 60 00:02:54,840 --> 00:02:58,680 Speaker 7: There's been some rulings against the company and people aren't 61 00:02:58,720 --> 00:03:01,359 Speaker 7: quite yet sure how to you know, price this impact, 62 00:03:01,360 --> 00:03:03,919 Speaker 7: How severe is any punishment going to be? How long 63 00:03:04,040 --> 00:03:05,960 Speaker 7: is this going to remain in overhang on the shares? 64 00:03:06,160 --> 00:03:08,800 Speaker 7: What is the ultimate impact here? These are very unclear 65 00:03:08,880 --> 00:03:10,800 Speaker 7: right now, and that is something that is you know, 66 00:03:10,840 --> 00:03:12,920 Speaker 7: weighing on the stock right now. And kind of preventing 67 00:03:12,960 --> 00:03:14,960 Speaker 7: it from participating in the games that you've seen in 68 00:03:15,000 --> 00:03:16,200 Speaker 7: the other Max seven. 69 00:03:15,960 --> 00:03:19,560 Speaker 4: Stocks weighing on the stock and it could weigh at 70 00:03:19,600 --> 00:03:20,400 Speaker 4: the index level. 71 00:03:20,480 --> 00:03:21,639 Speaker 8: Right. You were writing over the. 72 00:03:21,560 --> 00:03:26,080 Speaker 4: Weekend about how profit expectations for those MAG seven names 73 00:03:26,080 --> 00:03:29,480 Speaker 4: reporting this week are still way beyond the S and 74 00:03:29,520 --> 00:03:31,720 Speaker 4: P five hundred overall, but I think we're on track 75 00:03:31,760 --> 00:03:35,240 Speaker 4: for our basically lowest quarter of VPS expansion in six 76 00:03:35,560 --> 00:03:36,880 Speaker 4: quarters or something like that. 77 00:03:37,240 --> 00:03:39,520 Speaker 7: How high is the bar? Like, how braced are we 78 00:03:39,640 --> 00:03:42,920 Speaker 7: for this week? Well, it's really a company by company 79 00:03:43,000 --> 00:03:45,280 Speaker 7: kind of thing. In general, Like you said, earnings growth 80 00:03:45,320 --> 00:03:48,240 Speaker 7: for the Max seven is extremely strong, much stronger than 81 00:03:48,280 --> 00:03:51,840 Speaker 7: the overall market. But we have seen a deceleration in growth. 82 00:03:52,160 --> 00:03:54,480 Speaker 7: And given how much these stocks have moved up this year, 83 00:03:54,560 --> 00:03:58,320 Speaker 7: you have some of the major index components, Apple, Microsoft, 84 00:03:58,360 --> 00:04:01,120 Speaker 7: and so forth. These names are prett expensive rolled up 85 00:04:01,120 --> 00:04:03,320 Speaker 7: to their history, which does suggest there is a high 86 00:04:03,320 --> 00:04:06,800 Speaker 7: bar here. You have slowing growth, high multiples that leaves 87 00:04:06,880 --> 00:04:07,960 Speaker 7: limited room for error. 88 00:04:09,560 --> 00:04:11,640 Speaker 4: All right, Bloombo's Ryan for Selica, You've got to check 89 00:04:11,640 --> 00:04:15,040 Speaker 4: out his reporting before, during, and after the big tech 90 00:04:15,040 --> 00:04:15,600 Speaker 4: earnings beat. 91 00:04:15,640 --> 00:04:18,159 Speaker 6: Thank you so much. Let's keep a conversation going with Jay. 92 00:04:18,080 --> 00:04:21,600 Speaker 4: Jacobs, head of Thematic and Active ETF at Black Rock, 93 00:04:21,920 --> 00:04:25,159 Speaker 4: which manages an astonishing eleven point five trillion dollars in 94 00:04:25,200 --> 00:04:29,839 Speaker 4: total for its clients, And same question to you. Alphabet's 95 00:04:29,880 --> 00:04:32,280 Speaker 4: one name, But if you think about the broad basket 96 00:04:32,320 --> 00:04:36,200 Speaker 4: of AI, hyperscaler, software, hardware, chip names that you track, 97 00:04:36,800 --> 00:04:39,400 Speaker 4: how braced are you for this week starting with Google? 98 00:04:41,360 --> 00:04:44,400 Speaker 7: Well, we're looking much further than just individual names. We 99 00:04:44,480 --> 00:04:48,880 Speaker 7: have identified artificial intelligence and digital disruption is a multi year, 100 00:04:48,960 --> 00:04:51,520 Speaker 7: if not multi decade, mega force that's going to have 101 00:04:51,560 --> 00:04:54,680 Speaker 7: a tremendous impact on the economy and markets. So while 102 00:04:54,680 --> 00:04:57,919 Speaker 7: earnings might have some directional information on how some of 103 00:04:57,920 --> 00:05:00,680 Speaker 7: this investment from hyperscalers are going with the adoption of 104 00:05:00,760 --> 00:05:04,360 Speaker 7: artificial intelligence, we're really looking three, five, ten years out 105 00:05:04,400 --> 00:05:07,839 Speaker 7: to see the landscape shifting impact of artificial intelligence on 106 00:05:07,880 --> 00:05:08,680 Speaker 7: the economy. 107 00:05:09,560 --> 00:05:11,560 Speaker 4: Jay Caro and I like looking to the horizon as 108 00:05:11,640 --> 00:05:15,280 Speaker 4: much as anyone else. But when the hyperscalers talk about CAPEX, 109 00:05:15,520 --> 00:05:18,040 Speaker 4: the market responds in all sorts of ways. You must 110 00:05:18,040 --> 00:05:20,440 Speaker 4: be a little bit excited or a little bit nervous 111 00:05:20,640 --> 00:05:22,080 Speaker 4: about the next twenty four hours. 112 00:05:23,839 --> 00:05:26,039 Speaker 7: Well, I think What will be interesting about all of 113 00:05:26,040 --> 00:05:28,520 Speaker 7: this CAPEX, which could be almost a quarter of a 114 00:05:28,600 --> 00:05:33,799 Speaker 7: trillion dollars, is that money is being spent on semiconductor companies. 115 00:05:33,920 --> 00:05:37,480 Speaker 7: It's being spent on data centers, it's being spent on 116 00:05:37,640 --> 00:05:41,560 Speaker 7: power infrastructure, and in some of our actively managed strategies 117 00:05:41,600 --> 00:05:45,440 Speaker 7: like BAI, which just launched a few days ago. It's 118 00:05:45,480 --> 00:05:49,320 Speaker 7: really looking at that infrastructure layer of artificial intelligence, where 119 00:05:49,360 --> 00:05:52,920 Speaker 7: all that CAPEX money is being spent to take advantage 120 00:05:52,960 --> 00:05:55,839 Speaker 7: of the revenue opportunities that we see today in artificial intelligence. 121 00:05:56,360 --> 00:06:00,680 Speaker 3: It's interesting over in Saudi Arabia, many tech leaders, finance 122 00:06:00,800 --> 00:06:03,560 Speaker 3: leaders are speaking Massa Yoshisan, one of them talking about 123 00:06:03,560 --> 00:06:05,960 Speaker 3: how Nvidia is undervalued. 124 00:06:06,360 --> 00:06:07,800 Speaker 5: Now, Jay, I know you've thought a lot. 125 00:06:07,680 --> 00:06:11,080 Speaker 3: About ultimately the investment in the picks and shovels. Are 126 00:06:11,080 --> 00:06:13,359 Speaker 3: we too obsessed with one or two names? Do we 127 00:06:13,360 --> 00:06:14,200 Speaker 3: need to broaden out? 128 00:06:15,960 --> 00:06:16,600 Speaker 6: I think we are. 129 00:06:16,680 --> 00:06:18,800 Speaker 7: This is a much bigger story than just the mag 130 00:06:18,920 --> 00:06:21,480 Speaker 7: seven and just a handful of names and artificial intelligence. 131 00:06:22,000 --> 00:06:25,120 Speaker 7: We really look across the entire AI value chain or 132 00:06:25,120 --> 00:06:28,160 Speaker 7: the AI tech stack to find opportunities. I would really 133 00:06:28,200 --> 00:06:31,680 Speaker 7: bucket this in three layers. There's the AI infrastructure layer 134 00:06:31,680 --> 00:06:34,000 Speaker 7: that I just mentioned. That's about the semiconductors, that's about 135 00:06:34,040 --> 00:06:37,320 Speaker 7: the power infrastructure, It's about the data centers that are 136 00:06:37,360 --> 00:06:41,520 Speaker 7: providing that physical backbones artificial intelligence. The mid layer has 137 00:06:41,560 --> 00:06:44,000 Speaker 7: also gotten a fair amount of attention. That's where the models, 138 00:06:44,040 --> 00:06:45,840 Speaker 7: these large language models live, where a lot of the 139 00:06:45,880 --> 00:06:48,960 Speaker 7: proprietary data lives. But then on top of that is 140 00:06:49,000 --> 00:06:51,520 Speaker 7: the applications layer, and this is where we could see 141 00:06:51,520 --> 00:06:54,279 Speaker 7: some of the most significant growth over the long term, 142 00:06:54,279 --> 00:06:56,839 Speaker 7: which is really what are the companies that are embracing 143 00:06:56,960 --> 00:07:00,480 Speaker 7: artificial intelligence to build revolutionary products and Apple cations. 144 00:07:00,839 --> 00:07:01,760 Speaker 6: And I think if you. 145 00:07:01,800 --> 00:07:05,039 Speaker 7: Look across that AI tech stack, there's a lot of 146 00:07:05,080 --> 00:07:07,880 Speaker 7: opportunity that goes far beyond just the mag seven and 147 00:07:07,880 --> 00:07:10,520 Speaker 7: that's why we believe active management can be really powerful 148 00:07:10,520 --> 00:07:13,440 Speaker 7: and artificial intelligence to pick and choose those opportunities. 149 00:07:13,920 --> 00:07:16,360 Speaker 3: Let's talk there for about some of the latest CTF 150 00:07:16,440 --> 00:07:19,800 Speaker 3: you've launched and those within them to give the exposure. 151 00:07:20,360 --> 00:07:23,360 Speaker 3: How broad are the names and how geographically broad are 152 00:07:23,400 --> 00:07:23,760 Speaker 3: they as well? 153 00:07:23,800 --> 00:07:24,720 Speaker 5: Is it all about the US? 154 00:07:26,280 --> 00:07:28,440 Speaker 7: So if you look at BAI, which is our Artificial 155 00:07:28,440 --> 00:07:33,040 Speaker 7: Intelligence and Technology Actively Managed GTF, it is largely focused 156 00:07:33,120 --> 00:07:36,200 Speaker 7: on the digital infrastructure layer right now, that's where we 157 00:07:36,240 --> 00:07:38,840 Speaker 7: see some of the most immediate opportunity because of all 158 00:07:38,840 --> 00:07:41,760 Speaker 7: of that capex spending by the hyperscalers. That's where the 159 00:07:41,760 --> 00:07:44,160 Speaker 7: flows of dollars are going today and therefore kind of 160 00:07:44,160 --> 00:07:48,040 Speaker 7: the most concrete part of the artificial intelligence opportunity. But 161 00:07:48,160 --> 00:07:50,960 Speaker 7: it is a highly concentrated portfolio. It really only has 162 00:07:51,000 --> 00:07:54,200 Speaker 7: about thirty four companies in it. That is our portfolio 163 00:07:54,280 --> 00:07:57,160 Speaker 7: managers really taking high conviction bets on which parts of 164 00:07:57,200 --> 00:07:57,920 Speaker 7: AI are going to. 165 00:07:57,880 --> 00:08:02,760 Speaker 4: Succeed, and so by compared Garrison, TEK is broad is 166 00:08:02,880 --> 00:08:06,440 Speaker 4: still right because you have the full spectrum of software 167 00:08:06,480 --> 00:08:09,520 Speaker 4: through too hardware, even the semiconductor names in there. What 168 00:08:09,520 --> 00:08:12,320 Speaker 4: I always think about JAY is like, take the semiconductor 169 00:08:12,360 --> 00:08:17,239 Speaker 4: space right in the context of AI accelerators, Nvidia, Intel 170 00:08:17,240 --> 00:08:19,800 Speaker 4: and am D all compete with one another, but they 171 00:08:19,840 --> 00:08:23,600 Speaker 4: will see this very expansive and enduring market. Why is 172 00:08:23,680 --> 00:08:26,160 Speaker 4: the function of an ETF important to get the full 173 00:08:26,160 --> 00:08:26,920 Speaker 4: benefit of that? 174 00:08:29,160 --> 00:08:31,680 Speaker 7: Well, because this is again this says about an entire 175 00:08:31,800 --> 00:08:35,199 Speaker 7: value chain of opportunity. On one hand, you want high 176 00:08:35,240 --> 00:08:37,160 Speaker 7: conviction picks and the names that are going to win, 177 00:08:37,240 --> 00:08:39,480 Speaker 7: but at the same time, it's not about one or 178 00:08:39,480 --> 00:08:42,400 Speaker 7: two stocks in artificial intelligence, we believe the whole basket 179 00:08:42,440 --> 00:08:44,920 Speaker 7: of stocks is going to benefit in the ETF like 180 00:08:45,000 --> 00:08:47,400 Speaker 7: BAI delivers that very efficiently to investors. 181 00:08:47,720 --> 00:08:50,760 Speaker 3: Jay, you've spelled out your long term viewpoint. But in 182 00:08:50,800 --> 00:08:52,920 Speaker 3: the short term we have earnings. We also have an 183 00:08:52,920 --> 00:08:55,360 Speaker 3: election in the US. From your perspective, is that a 184 00:08:55,440 --> 00:08:58,319 Speaker 3: moment to actively invest to change up the portfolio. 185 00:09:00,120 --> 00:09:03,960 Speaker 7: It can certainly introduce some volatility or uncertainty into the portfolio. 186 00:09:04,240 --> 00:09:07,839 Speaker 7: But again, if we're looking thematically at artificial intelligence, this 187 00:09:07,920 --> 00:09:09,839 Speaker 7: is an area where we see, you know, this is 188 00:09:10,240 --> 00:09:12,080 Speaker 7: longer than an election. This is longer than just the 189 00:09:12,120 --> 00:09:13,920 Speaker 7: next four years. Even this is something that's going to 190 00:09:13,920 --> 00:09:17,000 Speaker 7: play out over multiple decades. So near term volatility is 191 00:09:17,040 --> 00:09:20,000 Speaker 7: really less important to thematic investors than what is the 192 00:09:20,040 --> 00:09:23,240 Speaker 7: trajectory of artificial intelligence over the next several years, which 193 00:09:23,240 --> 00:09:24,360 Speaker 7: we remain very bolish on. 194 00:09:24,960 --> 00:09:28,080 Speaker 3: J Jacobs moaning British heado thematic and active ETFs at 195 00:09:28,080 --> 00:09:30,640 Speaker 3: black Plock, We thank you. Coming up, we'll take a 196 00:09:30,679 --> 00:09:34,200 Speaker 3: look at the volatility around Trump media shares, so push 197 00:09:34,240 --> 00:09:37,120 Speaker 3: ever higher this morning. The details and where you're looking 198 00:09:37,120 --> 00:09:38,280 Speaker 3: at well. 199 00:09:38,280 --> 00:09:42,040 Speaker 4: Elon Musk participated in a surprise conversation at the Future 200 00:09:42,080 --> 00:09:45,640 Speaker 4: Investment Initiative taking place in Riard to discuss the future 201 00:09:45,679 --> 00:09:49,600 Speaker 4: of AI solar energy, but also why he thinks AMA's 202 00:09:49,760 --> 00:09:53,600 Speaker 4: launch for Starship is more likely under a Trump presidency. 203 00:09:53,600 --> 00:09:54,199 Speaker 6: Listen to this. 204 00:09:55,360 --> 00:09:58,720 Speaker 2: I feel more optimistic about it with a Trump White 205 00:09:58,720 --> 00:10:03,600 Speaker 2: House and an point House because the biggest impedimental progress 206 00:10:03,600 --> 00:10:08,800 Speaker 2: that we're experiencing is regulatory is over regulation. 207 00:10:20,360 --> 00:10:23,680 Speaker 4: Shares of Trump Media, the operator of the True Social site, 208 00:10:23,720 --> 00:10:26,400 Speaker 4: were suspended earlier today after they rose as much as 209 00:10:26,440 --> 00:10:29,160 Speaker 4: twenty one percent in pre market trading. 210 00:10:29,280 --> 00:10:33,000 Speaker 6: Trading later resumed. What's going on, Let's. 211 00:10:32,840 --> 00:10:34,960 Speaker 4: Bring in Bloomberg's baby Lipshaltz. I think we get this 212 00:10:35,040 --> 00:10:38,480 Speaker 4: idea that there's this thing called the Trump Trade and 213 00:10:38,520 --> 00:10:42,600 Speaker 4: that DJT because it's the parent company of Trump's social 214 00:10:42,640 --> 00:10:45,840 Speaker 4: media platform, Truth Social, is a part of that. But 215 00:10:46,280 --> 00:10:49,560 Speaker 4: explain the specificity of what happened this morning. I don't 216 00:10:49,559 --> 00:10:49,920 Speaker 4: get it. 217 00:10:50,960 --> 00:10:53,360 Speaker 9: Well, nothing makes sense and meanwhay. 218 00:10:53,600 --> 00:10:57,560 Speaker 10: So you have to go in understanding and acknowledging that 219 00:10:57,640 --> 00:11:00,319 Speaker 10: the thing with Trump Media shares, given the fact that 220 00:11:00,400 --> 00:11:03,680 Speaker 10: Donald Trump owns more about sixty percent of the stock, 221 00:11:03,840 --> 00:11:06,960 Speaker 10: is that it typically trades closely with the betting odds. 222 00:11:07,000 --> 00:11:09,520 Speaker 10: So we've been tracking a number of betting markets that 223 00:11:09,600 --> 00:11:11,560 Speaker 10: have been shifting up into the right for Donald J. 224 00:11:11,679 --> 00:11:13,440 Speaker 9: Trump to return to the White House. 225 00:11:13,480 --> 00:11:16,319 Speaker 10: What we saw today with some of those volatility halls 226 00:11:16,360 --> 00:11:18,480 Speaker 10: by Mike count it was about five of them to 227 00:11:18,600 --> 00:11:22,440 Speaker 10: the up and downside is just simply an overwhelming amount 228 00:11:22,480 --> 00:11:25,880 Speaker 10: of activity and volatility. We saw volumes about six times 229 00:11:25,920 --> 00:11:28,240 Speaker 10: of what's normal in the first hour. So when you 230 00:11:28,280 --> 00:11:31,360 Speaker 10: see investors, whether that's retail traders who are pushing their 231 00:11:31,400 --> 00:11:34,720 Speaker 10: investments on things like Reddit or True Social itself, or 232 00:11:34,800 --> 00:11:37,920 Speaker 10: Wall Street professionals or even just auctions traders, that's what 233 00:11:38,000 --> 00:11:40,320 Speaker 10: we can see with some of these wild swings to 234 00:11:40,400 --> 00:11:42,920 Speaker 10: the up and downside, and just looking at today, it's 235 00:11:42,960 --> 00:11:45,360 Speaker 10: really emblematic of what we've been tracking. When you even 236 00:11:45,400 --> 00:11:47,959 Speaker 10: look back to when this spec deal was announced back 237 00:11:48,000 --> 00:11:50,199 Speaker 10: in October twenty twenty one, it. 238 00:11:50,160 --> 00:11:52,960 Speaker 5: Has generally been up into the right. Even if there 239 00:11:53,040 --> 00:11:54,640 Speaker 5: is volatility on an industry basis. 240 00:11:54,679 --> 00:11:57,200 Speaker 3: What two hundred and seventy two percent at least was 241 00:11:57,200 --> 00:12:00,440 Speaker 3: the number we counted yesterday over the last five trading weeks, 242 00:12:00,679 --> 00:12:02,760 Speaker 3: is it really the eye of the storm when it 243 00:12:02,760 --> 00:12:04,760 Speaker 3: comes to the so called Trump trade. What are the 244 00:12:04,920 --> 00:12:06,160 Speaker 3: names have been evolved in? 245 00:12:06,240 --> 00:12:09,080 Speaker 10: Meanwhile, it's the biggest one to keep an eye on, 246 00:12:09,120 --> 00:12:11,680 Speaker 10: and it is really the most indicative. Obviously, it trades 247 00:12:11,800 --> 00:12:15,840 Speaker 10: under DJT. That's Trump's initials, so the ticker symbol is 248 00:12:15,840 --> 00:12:19,440 Speaker 10: actually that closely tied in a line with the former president. 249 00:12:19,679 --> 00:12:21,240 Speaker 9: We also keep an eye on Rumble. 250 00:12:21,280 --> 00:12:25,720 Speaker 10: They're a Peter telbacked video platform, typically skewing towards a 251 00:12:25,720 --> 00:12:29,040 Speaker 10: more conservative audience, trying to also rally against big tech. 252 00:12:29,160 --> 00:12:32,000 Speaker 10: The company is also in partnerships with Trump Media itself. 253 00:12:32,040 --> 00:12:34,360 Speaker 10: We keep an eye on Funware, which really seems to 254 00:12:34,400 --> 00:12:36,080 Speaker 10: be more of, at least when I talk to investors, 255 00:12:36,080 --> 00:12:39,000 Speaker 10: more of a gambling mechanism. It was associated with some 256 00:12:39,080 --> 00:12:41,640 Speaker 10: of the past Trump campaigns, though doesn't appear to be 257 00:12:41,880 --> 00:12:44,440 Speaker 10: tied towards the twenty twenty four re election campaign, but 258 00:12:44,679 --> 00:12:47,800 Speaker 10: that also has gotten swept up in the shift as well. 259 00:12:47,960 --> 00:12:50,400 Speaker 4: Bailey, you wrote a story on October twenty fifth, which 260 00:12:50,440 --> 00:12:56,040 Speaker 4: I appreciate seems like an eternity ago now that basically, 261 00:12:56,360 --> 00:13:00,000 Speaker 4: if Trump wins, it's hard to see what happens next 262 00:13:00,160 --> 00:13:03,360 Speaker 4: with True Social and DJT. But I think you were 263 00:13:03,400 --> 00:13:07,040 Speaker 4: talking more about its business, Like, what do we know 264 00:13:07,080 --> 00:13:08,760 Speaker 4: about this company as a company. 265 00:13:09,800 --> 00:13:14,120 Speaker 10: It operates and owns True Social, an X lookalike platform 266 00:13:14,240 --> 00:13:17,960 Speaker 10: that is one of the many kind of places that 267 00:13:18,040 --> 00:13:19,280 Speaker 10: Donald Trump will post. 268 00:13:19,920 --> 00:13:21,599 Speaker 9: We do know ed in the first. 269 00:13:21,320 --> 00:13:24,880 Speaker 10: Half they reported just about one point six million dollars 270 00:13:24,920 --> 00:13:28,960 Speaker 10: in sales, so not profitable. One point six million in 271 00:13:29,040 --> 00:13:31,800 Speaker 10: sales or revenue is a drop in the bucket relative 272 00:13:32,000 --> 00:13:35,480 Speaker 10: to its multi billion dollar market evaluation. It has struggled 273 00:13:35,480 --> 00:13:38,120 Speaker 10: to retain users. We've seen that with third party apps. 274 00:13:38,120 --> 00:13:41,600 Speaker 10: The company doesn't actually disclose those metrics. We will be 275 00:13:41,640 --> 00:13:44,760 Speaker 10: closely keeping an eye on their third quarter results, which 276 00:13:44,920 --> 00:13:47,520 Speaker 10: should be coming in the next few weeks, just in 277 00:13:47,640 --> 00:13:50,160 Speaker 10: terms of what activity or at least what ad sales 278 00:13:50,200 --> 00:13:52,480 Speaker 10: look like going into the election. But when I talk 279 00:13:52,520 --> 00:13:54,800 Speaker 10: to some skeptics that they really call out the fact 280 00:13:54,800 --> 00:13:58,000 Speaker 10: that all eyes right now are on Trump's re election campaign. 281 00:13:58,160 --> 00:14:01,080 Speaker 10: So if the company is struggling to get anywhere near 282 00:14:01,120 --> 00:14:03,640 Speaker 10: training a profit and only had one point six million 283 00:14:03,679 --> 00:14:06,640 Speaker 10: dollars in first half sales, the question going forward is 284 00:14:06,679 --> 00:14:07,720 Speaker 10: how does that actually grow? 285 00:14:08,200 --> 00:14:10,640 Speaker 5: Bailey Lipshaw's we appreciate it, thank you. 286 00:14:11,240 --> 00:14:14,520 Speaker 3: Let's stick with politics because Jeff Bezos defended The Washington 287 00:14:14,559 --> 00:14:18,480 Speaker 3: Post's decision to stop endorsing presidential candidates, saying there was 288 00:14:18,559 --> 00:14:21,600 Speaker 3: a quote credibility gap afflicting the media industry and that 289 00:14:21,840 --> 00:14:25,240 Speaker 3: endorsing a candidate would create a perception of bias, and 290 00:14:25,400 --> 00:14:27,800 Speaker 3: the move by the billionaire owner of The Washington Post 291 00:14:27,840 --> 00:14:31,280 Speaker 3: prompted as many as two hundred thousand subscribers to cancel. 292 00:14:31,560 --> 00:14:35,040 Speaker 3: That's according to MPR. Bloomberg's Mike Shepherd joins us to discuss, 293 00:14:35,120 --> 00:14:37,720 Speaker 3: and Mike, I know you have a history what the 294 00:14:37,800 --> 00:14:40,840 Speaker 3: Washington Post yourself, and just take us back in history. 295 00:14:41,160 --> 00:14:44,680 Speaker 3: How long have they been saying that they support certain candidates. 296 00:14:45,960 --> 00:14:47,240 Speaker 8: Well, first my own history. 297 00:14:47,280 --> 00:14:49,720 Speaker 11: I did work at the Washington Post for twenty two 298 00:14:49,840 --> 00:14:53,160 Speaker 11: years before joining Bloomberg in twenty eleven. So we do 299 00:14:53,320 --> 00:14:55,920 Speaker 11: have some long standing ties to that newsroom and a 300 00:14:55,960 --> 00:14:59,120 Speaker 11: lot of the good people that work there. And the 301 00:14:59,280 --> 00:15:02,280 Speaker 11: history that the moss with endorsing candidates goes all the 302 00:15:02,280 --> 00:15:05,000 Speaker 11: way back to when Jimmy Carter ran for the presidency. 303 00:15:05,320 --> 00:15:07,880 Speaker 11: So there is a history and a tradition. And one 304 00:15:07,880 --> 00:15:10,440 Speaker 11: of the concerns among people who are close to the 305 00:15:10,440 --> 00:15:15,239 Speaker 11: newsroom and even outside observers is that this carries the appearance, 306 00:15:15,360 --> 00:15:21,200 Speaker 11: eleven days before the election, of not just stopping the 307 00:15:21,320 --> 00:15:26,520 Speaker 11: practice of endorsements, but spiking an editorial that was intended 308 00:15:26,560 --> 00:15:30,320 Speaker 11: to endorse Kamala Harris for the presidency. And this carries 309 00:15:30,360 --> 00:15:34,920 Speaker 11: the appearance of doing exactly what Jeff Bezos is trying 310 00:15:34,920 --> 00:15:37,520 Speaker 11: to avoid, or at least as he explained it during 311 00:15:37,640 --> 00:15:40,400 Speaker 11: in his article yesterday. 312 00:15:41,680 --> 00:15:44,200 Speaker 4: Mike, just the basics here of why we're talking about this. 313 00:15:44,320 --> 00:15:48,120 Speaker 4: Jeff Bezos the founder of Amazon, a high profile, an 314 00:15:48,160 --> 00:15:51,600 Speaker 4: incredibly rich person in the world of technology, and he 315 00:15:51,720 --> 00:15:54,880 Speaker 4: owns the Washington Post. Just take those basic facts and 316 00:15:54,960 --> 00:15:56,720 Speaker 4: explain the significance of this action. 317 00:15:58,520 --> 00:16:02,000 Speaker 11: Well, the signific against cannot be overstated. And it is 318 00:16:02,080 --> 00:16:05,200 Speaker 11: yet another twist and an election that has had a 319 00:16:05,440 --> 00:16:09,640 Speaker 11: historic number of surprises already. And it even caught the 320 00:16:09,680 --> 00:16:12,280 Speaker 11: attention of Kamala Harris this morning. She was interviewed on 321 00:16:12,320 --> 00:16:16,840 Speaker 11: the Breakfast Club syndicated radio program, calling it disappointing, but 322 00:16:16,920 --> 00:16:21,680 Speaker 11: then also tying Jeff Bezos, the world's second second richest 323 00:16:21,680 --> 00:16:27,440 Speaker 11: man after Elon Musk, to Donald Trump and other billionaires, saying, look, 324 00:16:27,720 --> 00:16:31,120 Speaker 11: these are the people, the billionaires that Donald Trump is 325 00:16:31,400 --> 00:16:36,760 Speaker 11: more likely to support. Rather than mainstream Americans. And we 326 00:16:36,840 --> 00:16:40,720 Speaker 11: do see our own analysis here at Bloomberg indicates that 327 00:16:40,840 --> 00:16:45,720 Speaker 11: more billionaires have donated toward the Trump candidacy than non billionaires. Now, 328 00:16:45,720 --> 00:16:48,480 Speaker 11: when it comes to the tech industry, we do see 329 00:16:48,520 --> 00:16:50,800 Speaker 11: a little bit of a reversal of polarity. We do 330 00:16:50,840 --> 00:16:54,960 Speaker 11: see more of the wealthy tech founders, especially people like 331 00:16:55,160 --> 00:16:58,760 Speaker 11: Eric Schmidt and Bill Gates. They have thrown their lot 332 00:16:58,840 --> 00:17:02,600 Speaker 11: in with Kamala Harris, but overall, Harris is using this 333 00:17:02,760 --> 00:17:06,840 Speaker 11: moment to point to what she sees as billionaires leaning 334 00:17:06,840 --> 00:17:07,800 Speaker 11: toward Donald Trump. 335 00:17:08,480 --> 00:17:12,120 Speaker 3: One billionaire just name checking Donald Trump over in Saudi Arabia, 336 00:17:12,280 --> 00:17:15,000 Speaker 3: a live stream of Ela Masque, just speak to the 337 00:17:15,040 --> 00:17:16,159 Speaker 3: impact that he's making. 338 00:17:16,200 --> 00:17:21,680 Speaker 11: Mike Well, his impact on the race cannot be overstated. First, 339 00:17:21,680 --> 00:17:24,560 Speaker 11: it's financial. He has put more than one hundred and 340 00:17:24,600 --> 00:17:27,480 Speaker 11: thirty two million dollars of his own money into a 341 00:17:27,520 --> 00:17:30,040 Speaker 11: superpack that is backing Donald Trump. 342 00:17:30,240 --> 00:17:32,040 Speaker 8: But he is also putting in something. 343 00:17:31,800 --> 00:17:34,760 Speaker 11: That's very precious for a guy who's running five companies, 344 00:17:34,800 --> 00:17:36,960 Speaker 11: and that is time. He has spent time on the 345 00:17:37,000 --> 00:17:40,160 Speaker 11: campaign trail in Pennsylvania and other states. He has been 346 00:17:40,240 --> 00:17:43,040 Speaker 11: with Donald Trump, including at the event in New York 347 00:17:43,080 --> 00:17:46,879 Speaker 11: at Madison Square Garden on Sunday, and he is seeing 348 00:17:46,960 --> 00:17:50,200 Speaker 11: in Donald Trump as he is seeing Donald Trump as 349 00:17:50,240 --> 00:17:53,159 Speaker 11: someone who can clear the path for some of his 350 00:17:53,400 --> 00:17:59,119 Speaker 11: own ventures and his own aspirations, including a trip to Mars. 351 00:17:59,359 --> 00:18:04,640 Speaker 11: And the President is being present former President Trump as 352 00:18:04,720 --> 00:18:06,879 Speaker 11: if he were to make a return to office, someone 353 00:18:06,960 --> 00:18:09,680 Speaker 11: who can clear the path when it comes to regulations. 354 00:18:10,560 --> 00:18:12,440 Speaker 4: Yeah, that's the soundbit that we played early to Stay 355 00:18:12,440 --> 00:18:23,320 Speaker 4: of Blowburg's Michael Shepard. Thank you very much. It's time 356 00:18:23,359 --> 00:18:26,320 Speaker 4: for talking tech and first start. Indian food delivery platform 357 00:18:26,440 --> 00:18:29,480 Speaker 4: Swiggy is seeking to sell shares for an IPO that 358 00:18:29,600 --> 00:18:31,800 Speaker 4: may raise one point three five billion dollars. 359 00:18:31,840 --> 00:18:34,520 Speaker 6: According to sources, The IPO will open for. 360 00:18:34,480 --> 00:18:37,640 Speaker 4: Bids from November sixth and shares he expected to start 361 00:18:37,640 --> 00:18:41,679 Speaker 4: trading from November thirteen. Swingy's IPO follows Hyundai India's recent 362 00:18:42,000 --> 00:18:45,399 Speaker 4: record sale. Plus, Toshiba wants to reach double digit market 363 00:18:45,440 --> 00:18:48,919 Speaker 4: share in the world's power chip market by twenty thirty 364 00:18:49,160 --> 00:18:50,520 Speaker 4: as it lags behind rivals. 365 00:18:50,520 --> 00:18:52,320 Speaker 6: Toshiba may eventually form. 366 00:18:52,160 --> 00:18:55,639 Speaker 4: An alliance of companies that would corner thirty percent of 367 00:18:55,680 --> 00:18:58,680 Speaker 4: the industry. According to one of his executives and over 368 00:18:58,720 --> 00:19:03,399 Speaker 4: in Japan, Liberal Democratic Party heavyweight Akira Amari was defeated 369 00:19:03,520 --> 00:19:06,480 Speaker 4: in the general election. It removes one from parliament, one 370 00:19:06,480 --> 00:19:09,479 Speaker 4: of the chip sector's biggest advocates, while concerns have been 371 00:19:09,480 --> 00:19:13,160 Speaker 4: growing over the amount of taxpayer money getting plowed into 372 00:19:13,200 --> 00:19:13,880 Speaker 4: that industry. 373 00:19:13,880 --> 00:19:14,640 Speaker 8: Of caroline. 374 00:19:14,760 --> 00:19:18,639 Speaker 3: In other international chip news and the Biden administration finalized 375 00:19:18,680 --> 00:19:23,879 Speaker 3: restrictions on investments by US individuals and companies into Chinese technology, 376 00:19:23,960 --> 00:19:28,399 Speaker 3: including semiconductors, quantum computing, artificial intelligence. Of course, Bloomberg's Mackenzie 377 00:19:28,440 --> 00:19:30,919 Speaker 3: Hawkins is here with more and this was long in 378 00:19:30,960 --> 00:19:31,439 Speaker 3: the making. 379 00:19:31,640 --> 00:19:33,840 Speaker 5: Just what is new in terms of these policies. 380 00:19:35,520 --> 00:19:38,280 Speaker 12: So this is sort of the last big shoot to 381 00:19:38,359 --> 00:19:42,840 Speaker 12: drop from the Biden Administration's restrictions on Chinese advanced tech development. 382 00:19:43,240 --> 00:19:44,800 Speaker 12: We've said a lot of time on the show talking 383 00:19:44,840 --> 00:19:48,280 Speaker 12: about export controls, restrictions on the sale of actual chips 384 00:19:48,280 --> 00:19:51,240 Speaker 12: and ship making components to companies in China. This is 385 00:19:51,320 --> 00:19:56,480 Speaker 12: restrictions on investments by American individuals and companies into Chinese 386 00:19:56,520 --> 00:19:59,760 Speaker 12: AI chip and quantum computing companies. The rules have been 387 00:19:59,760 --> 00:20:02,800 Speaker 12: in the works for over a year. There was originally 388 00:20:02,800 --> 00:20:06,080 Speaker 12: fears that the investment restrictions would cover a broader swath 389 00:20:06,119 --> 00:20:08,959 Speaker 12: of industries, but officials say they're aiming for a narrowly 390 00:20:09,040 --> 00:20:13,480 Speaker 12: targeted approach looking at technologies that are key to US 391 00:20:13,480 --> 00:20:14,800 Speaker 12: and Chinese national security. 392 00:20:15,760 --> 00:20:18,639 Speaker 4: It's been some time, I think, since we've discussed the 393 00:20:18,720 --> 00:20:24,080 Speaker 4: sector in these terms. But the target is American mutual funds, 394 00:20:24,720 --> 00:20:29,960 Speaker 4: large venture capital firms, other technology companies that want to 395 00:20:30,160 --> 00:20:33,360 Speaker 4: get a placehold on some of China's tech. Right, I'm 396 00:20:33,359 --> 00:20:37,040 Speaker 4: trying to understand McKenzie, who would be subject to these controls? 397 00:20:38,200 --> 00:20:38,400 Speaker 11: Right? 398 00:20:38,480 --> 00:20:42,399 Speaker 12: So there are exemptions for certain types of investments, such 399 00:20:42,440 --> 00:20:46,600 Speaker 12: as publicly traded securities or certain limited partner investments, but 400 00:20:46,680 --> 00:20:50,160 Speaker 12: the goal is really to capture American capital and then 401 00:20:50,240 --> 00:20:53,760 Speaker 12: know how that officials say comes with American capital going 402 00:20:53,840 --> 00:20:57,480 Speaker 12: into early stage investments in Chinese startups. So, you know, 403 00:20:57,560 --> 00:21:01,040 Speaker 12: officials brief reporters on there were frictions before they were 404 00:21:01,040 --> 00:21:03,399 Speaker 12: formally announced, and they pointed to a report by a 405 00:21:03,440 --> 00:21:06,879 Speaker 12: think tank based here which found that between twenty fifteen 406 00:21:06,920 --> 00:21:10,040 Speaker 12: and twenty twenty one, of all of the global transactions 407 00:21:10,119 --> 00:21:14,760 Speaker 12: investing in Chinese AI companies, seventeen percent involved American investors, 408 00:21:14,840 --> 00:21:17,879 Speaker 12: and of that around nine and ten were at the 409 00:21:17,960 --> 00:21:20,479 Speaker 12: venture capital stage. So that's the type of investment that 410 00:21:20,520 --> 00:21:22,399 Speaker 12: officials are aiming to capture with these rules. 411 00:21:22,440 --> 00:21:26,159 Speaker 3: The Chinese Foreign Ministry spokesman saying his nation strongly deplodes, 412 00:21:27,240 --> 00:21:30,440 Speaker 3: infirmly rejects these new US restrictions. They didn't come into 413 00:21:30,800 --> 00:21:33,080 Speaker 3: force briefly until January the second. 414 00:21:33,119 --> 00:21:35,760 Speaker 5: Is there any way that these could be subject to change? Mackenzie? 415 00:21:37,000 --> 00:21:39,399 Speaker 12: So this is sort of the last leg of what 416 00:21:39,440 --> 00:21:42,040 Speaker 12: has been a very long rulemaking process, and this is 417 00:21:42,080 --> 00:21:44,640 Speaker 12: a final rule. So it's highly, highly unlikely that things 418 00:21:44,680 --> 00:21:48,720 Speaker 12: would change between now and January. Tewod. They wouldn't only 419 00:21:48,800 --> 00:21:49,919 Speaker 12: investments going forward. 420 00:21:49,920 --> 00:21:52,320 Speaker 5: It's not a retroactive policy, Megs. 421 00:21:52,359 --> 00:22:03,240 Speaker 3: Mackenzie Holkins. Wait, thank you, Welcome back to Blue Meg Technology. 422 00:22:03,240 --> 00:22:04,120 Speaker 3: I'm Caroline Hyde in. 423 00:22:04,040 --> 00:22:06,440 Speaker 6: New York and I'm me d love Lo in San Francisco. 424 00:22:06,520 --> 00:22:09,000 Speaker 3: Quick check on these markets, because while we're pushing higher 425 00:22:09,040 --> 00:22:10,919 Speaker 3: on the Nastack and then Astak one hundred, we're up 426 00:22:10,920 --> 00:22:13,920 Speaker 3: about five ten percent now, so near trading highs of 427 00:22:13,960 --> 00:22:17,760 Speaker 3: the day and in fact training highs. Ever, because we 428 00:22:17,800 --> 00:22:19,680 Speaker 3: are close about two hundred points on the NASAK one 429 00:22:19,720 --> 00:22:21,639 Speaker 3: hundred to its record high set back in July. 430 00:22:21,800 --> 00:22:23,159 Speaker 5: So we keep an eye on those numbers. 431 00:22:23,400 --> 00:22:25,120 Speaker 3: We want to dig into some of the individual movers 432 00:22:25,160 --> 00:22:27,760 Speaker 3: because we are thick and fast and earning season and 433 00:22:27,840 --> 00:22:30,760 Speaker 3: really Cadence Design Systems doing particularly well, having its best 434 00:22:30,840 --> 00:22:33,439 Speaker 3: day since March of twenty twenty, up eleven percent. It's 435 00:22:33,520 --> 00:22:36,280 Speaker 3: numbers coming in strong, it's revenue posting growth of about 436 00:22:36,359 --> 00:22:39,440 Speaker 3: nineteen percent, and it's all about Cadence dot AI basically 437 00:22:39,440 --> 00:22:43,119 Speaker 3: in the design workflow artificial intelligence now integral, says the CEO. 438 00:22:43,359 --> 00:22:44,440 Speaker 5: We're seeing AMD. 439 00:22:45,040 --> 00:22:47,240 Speaker 3: We're going to see the numbers after the bell, and look, 440 00:22:47,240 --> 00:22:49,159 Speaker 3: we're pretty buoyant and running into them more than two 441 00:22:49,200 --> 00:22:52,520 Speaker 3: percent higher. The question is AI accelerators. Are they managing 442 00:22:52,560 --> 00:22:54,960 Speaker 3: to make inroads on Nvidia and how much of the 443 00:22:54,960 --> 00:22:56,600 Speaker 3: market share and they manage to take from the likes 444 00:22:56,640 --> 00:22:58,560 Speaker 3: of Intel. When it comes to the BC and it 445 00:22:58,560 --> 00:23:01,679 Speaker 3: comes to as the server business, PayPal look disappoints, even 446 00:23:01,720 --> 00:23:03,720 Speaker 3: though we saw the third quarter fiscal third quarter do 447 00:23:03,760 --> 00:23:06,960 Speaker 3: well in terms of profits on the revenue forecast, disappointed 448 00:23:07,080 --> 00:23:09,640 Speaker 3: and the shares have run up into these earnings well 449 00:23:09,720 --> 00:23:10,639 Speaker 3: by about five percent. 450 00:23:10,720 --> 00:23:10,800 Speaker 11: Ed. 451 00:23:10,840 --> 00:23:11,720 Speaker 6: What have you got? 452 00:23:12,040 --> 00:23:15,159 Speaker 4: Some other headlines in the last thirty minutes. Apples overhauled 453 00:23:15,160 --> 00:23:18,439 Speaker 4: the design of its Mac Mini desktop computer for the 454 00:23:18,440 --> 00:23:22,040 Speaker 4: first time in about fifteen years, cutting the device's size 455 00:23:22,200 --> 00:23:25,560 Speaker 4: to five inches across and adding a Speedia M four 456 00:23:25,640 --> 00:23:28,560 Speaker 4: chip series doing Bose Mark German joins us in San Francisco. 457 00:23:28,800 --> 00:23:31,679 Speaker 4: This is kind of consistent, right with what Apple is 458 00:23:31,680 --> 00:23:35,560 Speaker 4: doing with new gen of different hardware, platform size and 459 00:23:35,600 --> 00:23:36,919 Speaker 4: then updating the processor. 460 00:23:37,200 --> 00:23:37,919 Speaker 6: What else do we know? 461 00:23:38,200 --> 00:23:39,240 Speaker 8: Yeah, it's quite interesting. 462 00:23:39,280 --> 00:23:41,400 Speaker 13: So last year this time they held an event called 463 00:23:41,440 --> 00:23:44,800 Speaker 13: Scary Fast timed around Halloween. They launched the three new chips, 464 00:23:44,800 --> 00:23:46,400 Speaker 13: a bunch of new Macs, but it was a thirty 465 00:23:46,440 --> 00:23:49,560 Speaker 13: minute kino and it's sort of disappeared, as you will, 466 00:23:49,600 --> 00:23:52,520 Speaker 13: on Halloween right after that. This time around, they're doing 467 00:23:52,600 --> 00:23:55,359 Speaker 13: three launches three days in a row. Yesterday Monday was 468 00:23:55,359 --> 00:23:57,960 Speaker 13: the iMac with the M four, Today is the Mac 469 00:23:58,040 --> 00:24:00,640 Speaker 13: Mini with the M four and M four Pro. Tomorrow 470 00:24:00,720 --> 00:24:02,960 Speaker 13: will be the new MacBook pros at the M four, 471 00:24:03,160 --> 00:24:05,360 Speaker 13: M four Pro and M four Max. This new Mac 472 00:24:05,400 --> 00:24:08,479 Speaker 13: Mini looks extremely impressive. It's probably the most impressive new 473 00:24:08,480 --> 00:24:10,920 Speaker 13: mac that I've seen from them since the current MacBook 474 00:24:10,920 --> 00:24:14,320 Speaker 13: Pro design launched three years ago. Two inches tall, five 475 00:24:14,359 --> 00:24:19,040 Speaker 13: inches across, super cool, super powerful two ports on the front, 476 00:24:19,080 --> 00:24:20,120 Speaker 13: now matching the Mac. 477 00:24:20,000 --> 00:24:21,840 Speaker 6: Studio as you reported, would be the case. 478 00:24:22,320 --> 00:24:24,720 Speaker 13: I think this is going to be a very hot seller. 479 00:24:24,760 --> 00:24:27,440 Speaker 13: People like to use these to connect them to TVs 480 00:24:28,119 --> 00:24:30,959 Speaker 13: gaming setups, and they're also extremely popular in the enterprise 481 00:24:31,000 --> 00:24:33,120 Speaker 13: and in server environment. So this is a nice launch 482 00:24:33,119 --> 00:24:34,040 Speaker 13: for Apple, a. 483 00:24:34,119 --> 00:24:37,360 Speaker 3: Nice launch and necessary when you're baking in the markets 484 00:24:37,400 --> 00:24:40,320 Speaker 3: expectations to growth at this company. We had key Bank, 485 00:24:40,400 --> 00:24:43,240 Speaker 3: the analyst there last week saying, look, we very rarely 486 00:24:43,280 --> 00:24:46,880 Speaker 3: have geographical growth and every product growing in terms of revenue, 487 00:24:47,080 --> 00:24:49,359 Speaker 3: but the market seems to be baking that in mark How. 488 00:24:49,320 --> 00:24:50,960 Speaker 5: Likely is it that we're going to see such growth 489 00:24:50,960 --> 00:24:51,560 Speaker 5: do you think. 490 00:24:52,040 --> 00:24:53,960 Speaker 13: Well, well, the Mac Mini is only going to be 491 00:24:53,960 --> 00:24:55,479 Speaker 13: a very incremental part of that. 492 00:24:55,560 --> 00:24:55,760 Speaker 8: Right. 493 00:24:55,800 --> 00:24:59,359 Speaker 13: They'll generate sales here, but probably they'll sell maybe a 494 00:24:59,400 --> 00:25:03,040 Speaker 13: billion dollar worth of these tops through the end of 495 00:25:03,080 --> 00:25:05,840 Speaker 13: the year, maybe even a little bit less than that. 496 00:25:05,960 --> 00:25:08,920 Speaker 13: So this is not a super material. 497 00:25:08,480 --> 00:25:09,160 Speaker 8: Launch for them. 498 00:25:09,480 --> 00:25:11,760 Speaker 13: It's really a cool launch that gets people in the 499 00:25:11,800 --> 00:25:15,080 Speaker 13: Mac community really interested. It sets up the design for 500 00:25:15,119 --> 00:25:17,520 Speaker 13: this product, hopefully not for the next fifteen years like 501 00:25:17,520 --> 00:25:20,879 Speaker 13: the last design, but certainly this is a nice launch 502 00:25:20,920 --> 00:25:24,080 Speaker 13: for them. But it's not important from a financial standpoint, 503 00:25:24,760 --> 00:25:27,840 Speaker 13: like let's say a new iPhone or iPad mark. 504 00:25:27,880 --> 00:25:31,680 Speaker 4: Overnight, our colleagues in India reported some interesting numbers about 505 00:25:31,680 --> 00:25:35,199 Speaker 4: exports from that country for Apple, So not necessarily the 506 00:25:35,320 --> 00:25:38,200 Speaker 4: end market, but what they're doing there and then selling 507 00:25:38,280 --> 00:25:38,720 Speaker 4: to the world. 508 00:25:38,800 --> 00:25:39,280 Speaker 6: What do we know? 509 00:25:39,640 --> 00:25:42,680 Speaker 13: India's becoming an increasingly important part of the overall Apple 510 00:25:42,720 --> 00:25:45,719 Speaker 13: story in terms of production and in terms of sales. 511 00:25:45,800 --> 00:25:47,520 Speaker 13: I think you're a one day going to see more 512 00:25:47,560 --> 00:25:50,320 Speaker 13: product development happen there as well if you have some 513 00:25:50,480 --> 00:25:54,280 Speaker 13: engineering labs, particularly for maps testing there as well. So 514 00:25:54,359 --> 00:25:57,479 Speaker 13: India is incrementally becoming a bigger part of the Apple story. 515 00:25:57,840 --> 00:26:01,160 Speaker 13: I don't think they're ever going to drop China totally, 516 00:26:01,320 --> 00:26:04,440 Speaker 13: but they're inching towards India becoming the new China. 517 00:26:05,000 --> 00:26:08,280 Speaker 3: Al German, we thank you. Let's turn our attention to 518 00:26:08,359 --> 00:26:11,600 Speaker 3: Netflix now. It's in talks to release Gretagog's upcoming remake 519 00:26:11,640 --> 00:26:15,520 Speaker 3: of the Chronicles of Narnia on Imax screams globally. This 520 00:26:15,600 --> 00:26:18,240 Speaker 3: would be one of these streaming platform's biggest business deals 521 00:26:18,240 --> 00:26:18,840 Speaker 3: with cinemas. 522 00:26:18,840 --> 00:26:21,399 Speaker 5: According to sources. Let's bring in mus Lucas. 523 00:26:21,200 --> 00:26:24,320 Speaker 3: Shore and they have done it before, but this would 524 00:26:24,400 --> 00:26:27,640 Speaker 3: once again be sort of an interesting area for them 525 00:26:27,640 --> 00:26:28,720 Speaker 3: to push. 526 00:26:29,080 --> 00:26:32,440 Speaker 14: Yeah, like Netflix has largely embraced movie theaters when they 527 00:26:32,480 --> 00:26:35,000 Speaker 14: have worked with filmmakers that want that. Think about Martin 528 00:26:35,000 --> 00:26:38,040 Speaker 14: Scorsese with The Irishman or Alfonso Corone with Roma. 529 00:26:38,520 --> 00:26:39,520 Speaker 8: You know this is no different. 530 00:26:39,560 --> 00:26:41,760 Speaker 14: Greta Gerwig coming off of Barbie has a lot of 531 00:26:41,920 --> 00:26:45,040 Speaker 14: clout in the Hollywod community. Netflix was very excited to 532 00:26:45,119 --> 00:26:47,560 Speaker 14: get her to adapt the sort of legendary series of 533 00:26:47,640 --> 00:26:50,639 Speaker 14: children's books. But she wants to see those movies in theaters, 534 00:26:50,680 --> 00:26:52,760 Speaker 14: and so Netflix is going to try to work with 535 00:26:52,800 --> 00:26:56,600 Speaker 14: her without sort of violating its beliefs about putting movies 536 00:26:56,800 --> 00:26:59,399 Speaker 14: in its on its screens and on as streaming service 537 00:26:59,680 --> 00:27:00,960 Speaker 14: prompt for its customers. 538 00:27:01,880 --> 00:27:03,800 Speaker 4: Lucas, I don't think we've ever had the chance to 539 00:27:03,840 --> 00:27:07,920 Speaker 4: discuss this with you, but basically, how does Hollywood see. 540 00:27:07,720 --> 00:27:11,440 Speaker 6: Netflix in this field of like big fiction? 541 00:27:12,200 --> 00:27:15,280 Speaker 4: I think about Rebel Moon and Atlas Jennifer Lopez, like, 542 00:27:15,320 --> 00:27:18,880 Speaker 4: personally those were great, but I guess they want big 543 00:27:18,960 --> 00:27:23,080 Speaker 4: hits the world over Narnia. 544 00:27:23,160 --> 00:27:25,840 Speaker 8: Well, Atlas actually was a reasonable hit. 545 00:27:25,960 --> 00:27:28,080 Speaker 14: I mean I think, yeah, you're right that Netflix has 546 00:27:28,119 --> 00:27:30,720 Speaker 14: tried a lot with these sort of world building science 547 00:27:30,760 --> 00:27:34,639 Speaker 14: fiction projects, largely because it doesn't sit on a trove 548 00:27:34,680 --> 00:27:37,960 Speaker 14: of historical intellectual property like Disney and Warner Brothers and 549 00:27:38,000 --> 00:27:40,320 Speaker 14: other studios do, so it's had to invest a lot 550 00:27:40,359 --> 00:27:43,879 Speaker 14: more in original properties when it has gone outside of 551 00:27:43,880 --> 00:27:46,080 Speaker 14: that and tried to buy ip that it could use, 552 00:27:46,119 --> 00:27:47,840 Speaker 14: like it did a deal with the did a deal 553 00:27:47,840 --> 00:27:48,480 Speaker 14: with a royal doll. 554 00:27:48,800 --> 00:27:51,200 Speaker 8: Now it's not this Narnia. I mean, look, it could work. 555 00:27:51,359 --> 00:27:51,840 Speaker 8: I don't know. 556 00:27:51,920 --> 00:27:54,280 Speaker 14: Their track record on the quality of those movies, I'd 557 00:27:54,280 --> 00:27:57,320 Speaker 14: say is sort of mid to poor, but people do 558 00:27:57,440 --> 00:27:59,840 Speaker 14: tend to watch them, just because people watch whatever's on 559 00:28:00,040 --> 00:28:02,840 Speaker 14: Netflix that has a big budget Netflix puts in front 560 00:28:02,840 --> 00:28:03,840 Speaker 14: of them. 561 00:28:04,000 --> 00:28:07,359 Speaker 3: Well said, it's interesting what they lose because of not 562 00:28:07,400 --> 00:28:11,240 Speaker 3: always going for the big screen. Emerald Fanal for example, 563 00:28:11,240 --> 00:28:12,320 Speaker 3: Hernie Wuthering Heights. 564 00:28:12,600 --> 00:28:13,280 Speaker 5: They didn't want to. 565 00:28:13,280 --> 00:28:16,480 Speaker 3: Go in Netflix because of this. So is IMAX going 566 00:28:16,480 --> 00:28:18,359 Speaker 3: to satisfy Greta Gerwig? 567 00:28:18,359 --> 00:28:18,800 Speaker 5: Do you think? 568 00:28:19,960 --> 00:28:20,160 Speaker 8: Yeah? 569 00:28:20,200 --> 00:28:23,200 Speaker 14: I think it'll satisfy her for this project. 570 00:28:23,520 --> 00:28:25,320 Speaker 8: You know, I don't think Greta. 571 00:28:25,080 --> 00:28:27,600 Speaker 14: Gerwig will want to make all of her movies at 572 00:28:27,640 --> 00:28:30,080 Speaker 14: Netflix or her next several movies at Netflix. You know, 573 00:28:30,119 --> 00:28:32,200 Speaker 14: I could be wrong, obviously, if this becomes a huge 574 00:28:32,200 --> 00:28:34,359 Speaker 14: success and she wants to do it again, she could. 575 00:28:34,840 --> 00:28:37,600 Speaker 14: But what we've tended to see is big name filmmakers 576 00:28:37,760 --> 00:28:40,640 Speaker 14: like Greta Gerwig, like Alfonso Corone, they want to see 577 00:28:40,680 --> 00:28:42,800 Speaker 14: their movies and theaters and so they will mostly do that. 578 00:28:42,880 --> 00:28:45,160 Speaker 14: But if there's a project that they are particularly drawn 579 00:28:45,240 --> 00:28:47,440 Speaker 14: to or that no other studio will make and Netflix 580 00:28:47,440 --> 00:28:50,479 Speaker 14: will step forward, they'll do it, and especially because Netflix 581 00:28:50,520 --> 00:28:54,080 Speaker 14: will often satisfy the budgetary requirements that they have or want. 582 00:28:55,080 --> 00:28:57,480 Speaker 14: But it's sort of a you know, a temporary waystation 583 00:28:57,560 --> 00:28:59,400 Speaker 14: for a lot of these big filmmakers and not a home, 584 00:28:59,640 --> 00:29:02,680 Speaker 14: whereas Christopher Nolan, for example, another filmmaker, likes to find 585 00:29:02,720 --> 00:29:03,000 Speaker 14: a home. 586 00:29:03,120 --> 00:29:03,239 Speaker 3: Right. 587 00:29:03,280 --> 00:29:05,040 Speaker 14: He was at Warner Brothers for several years. Now it 588 00:29:05,040 --> 00:29:06,640 Speaker 14: seems like he's going to be at Universal for the 589 00:29:06,680 --> 00:29:07,640 Speaker 14: foreseeable future. 590 00:29:08,000 --> 00:29:09,760 Speaker 3: Well, they've got money spend what is it, at least 591 00:29:09,760 --> 00:29:13,680 Speaker 3: one hundred and seventy five million on this Narnia one, Lucas, Sure, 592 00:29:14,000 --> 00:29:14,560 Speaker 3: we thank you. 593 00:29:14,680 --> 00:29:16,160 Speaker 8: Ed Yeah. 594 00:29:16,200 --> 00:29:19,000 Speaker 4: Coming up on the show, how a Spanish brain computer 595 00:29:19,200 --> 00:29:22,360 Speaker 4: interface company is taken on Neuralink. 596 00:29:22,600 --> 00:29:23,920 Speaker 6: That's why we're looking forward to Carro. 597 00:29:24,240 --> 00:29:27,440 Speaker 3: Yeah, meanwhile, what's in a here and now ed bitcoin crypto? 598 00:29:27,480 --> 00:29:29,280 Speaker 3: You've been keeping it close on it, as we all have. 599 00:29:29,520 --> 00:29:29,720 Speaker 5: Look. 600 00:29:29,720 --> 00:29:32,280 Speaker 3: At one point it touched seventy two thousand dollars. We 601 00:29:32,320 --> 00:29:35,720 Speaker 3: haven't done that since April, but we are very close 602 00:29:35,760 --> 00:29:38,320 Speaker 3: to the record high setback in March of this year, 603 00:29:38,680 --> 00:29:40,800 Speaker 3: which is close to seventy four thousand dollars. 604 00:29:40,880 --> 00:29:41,520 Speaker 8: Just under it. 605 00:29:41,720 --> 00:29:43,240 Speaker 5: Well we get there. We're up three percent. 606 00:29:43,400 --> 00:29:45,479 Speaker 3: Options traders think it's going to get to eighty thousand 607 00:29:45,520 --> 00:29:48,240 Speaker 3: come what may in the election by the end of November. 608 00:29:48,280 --> 00:30:03,200 Speaker 3: This is Blomberg Technology. We hear a lot about Elo 609 00:30:03,320 --> 00:30:06,640 Speaker 3: Musque's brain computer startup Neuralink, but it is far from 610 00:30:06,680 --> 00:30:08,120 Speaker 3: being the only player in the field. 611 00:30:08,400 --> 00:30:09,200 Speaker 5: Take in Brain. 612 00:30:09,320 --> 00:30:12,040 Speaker 3: It's a European company building devices that could one day 613 00:30:12,360 --> 00:30:14,920 Speaker 3: treat neurological disorders like Parkinson's disease. 614 00:30:15,240 --> 00:30:17,000 Speaker 5: The startup just announced today that it's. 615 00:30:16,920 --> 00:30:20,480 Speaker 3: Raised fifty million dollars to develop its graphic based mural technologies. 616 00:30:20,760 --> 00:30:24,520 Speaker 3: Let's bring in the CEO co founder, Carolina Aguila for more, 617 00:30:24,560 --> 00:30:28,680 Speaker 3: and Carolina, just how soon might we see such things 618 00:30:28,720 --> 00:30:31,000 Speaker 3: as Parkinson's and other diseases tackled? 619 00:30:31,040 --> 00:30:32,000 Speaker 5: And how. 620 00:30:33,120 --> 00:30:35,440 Speaker 1: Thank you, thank you for having me here and hello 621 00:30:35,440 --> 00:30:39,960 Speaker 1: on New York. Well very soon, because we already treated 622 00:30:40,000 --> 00:30:44,480 Speaker 1: two patients on our safety at study and last year 623 00:30:44,520 --> 00:30:48,479 Speaker 1: we already obtained FDA breakthrough designation, so we actually provide 624 00:30:48,480 --> 00:30:52,360 Speaker 1: to the FDA reasonable proof of superiority versus car and neuromolation. 625 00:30:52,960 --> 00:30:56,720 Speaker 1: So it's I mean, this funding round, which is significant, 626 00:30:56,840 --> 00:30:58,719 Speaker 1: is going to help us to get there in the 627 00:30:58,760 --> 00:30:59,600 Speaker 1: next few years. 628 00:31:00,640 --> 00:31:02,160 Speaker 6: Let's go back to basics really quickly. 629 00:31:02,240 --> 00:31:05,680 Speaker 4: So synchron does this sort of intravenously with a stint 630 00:31:06,160 --> 00:31:09,680 Speaker 4: neural link is the insertion of very very thin wires 631 00:31:09,680 --> 00:31:10,920 Speaker 4: directly into the brain. 632 00:31:11,680 --> 00:31:13,080 Speaker 6: How does your technology work? 633 00:31:14,200 --> 00:31:18,400 Speaker 1: Yeah, well, it is a technology that it sits on 634 00:31:18,480 --> 00:31:21,400 Speaker 1: the brain, on the cortex of the brain, and also 635 00:31:21,480 --> 00:31:26,040 Speaker 1: has a deeper probe that it's inserted more into the 636 00:31:26,080 --> 00:31:30,440 Speaker 1: basal ganglia and together, actually it's able to decode in 637 00:31:30,480 --> 00:31:35,720 Speaker 1: a bidirectional communication with the brain specific biomarkers that are 638 00:31:35,800 --> 00:31:41,560 Speaker 1: disrupted in diseases like Parkinson's disease and actually restore such functions. 639 00:31:41,680 --> 00:31:45,560 Speaker 1: So we call it busy itherapeutics because this bi directional 640 00:31:45,560 --> 00:31:49,240 Speaker 1: communication with the brain is actually able to decode so 641 00:31:49,280 --> 00:31:52,320 Speaker 1: to read, but also right into their brain and actually 642 00:31:52,440 --> 00:31:53,400 Speaker 1: restore the function. 643 00:31:54,280 --> 00:31:57,000 Speaker 4: We're showing a video which is demonstrating that right now. 644 00:31:57,200 --> 00:32:00,360 Speaker 4: So fifty million dollars you know in your development process 645 00:32:00,560 --> 00:32:03,800 Speaker 4: and scaling of the technology, where we deploy that money. 646 00:32:05,120 --> 00:32:10,240 Speaker 1: Yeah, these fans are extremely important to continue the clinical 647 00:32:10,320 --> 00:32:14,360 Speaker 1: trials that we are now conducting. We are on boarding 648 00:32:14,440 --> 00:32:17,440 Speaker 1: up to ten patients for this safety trial that also 649 00:32:18,320 --> 00:32:21,320 Speaker 1: is going to show the superiority of graphine rescues current 650 00:32:21,760 --> 00:32:25,560 Speaker 1: metals like platin idiom. To expand the team because we 651 00:32:25,640 --> 00:32:30,680 Speaker 1: need very much excellent talent across boards. So we are 652 00:32:30,800 --> 00:32:35,680 Speaker 1: developing the semiconductor process of the interfaces, but also the electronics, 653 00:32:35,960 --> 00:32:40,080 Speaker 1: the software, the artificial intelligence. So we have already sixty people, 654 00:32:40,120 --> 00:32:42,320 Speaker 1: but we are missing some key pieces that would like 655 00:32:42,400 --> 00:32:46,040 Speaker 1: to recruit and also to continue the platform development to 656 00:32:46,120 --> 00:32:49,400 Speaker 1: the final pivotal that leads to the conversization. 657 00:32:50,400 --> 00:32:53,720 Speaker 3: So many people listening will be so excited at the 658 00:32:53,760 --> 00:32:57,640 Speaker 3: idea that Parkinson's disease, that epilepsy, the strokes can in 659 00:32:57,680 --> 00:33:00,520 Speaker 3: some way be tackled with this who from a venture 660 00:33:00,560 --> 00:33:03,520 Speaker 3: community is excited to put the money in, whereas the 661 00:33:04,080 --> 00:33:07,400 Speaker 3: ultimate return the reward for them when it comes to 662 00:33:07,440 --> 00:33:08,160 Speaker 3: your own growth. 663 00:33:09,680 --> 00:33:13,120 Speaker 1: Well, we are seeing deep tech fans very, very interested 664 00:33:13,200 --> 00:33:15,440 Speaker 1: on this field. I think in the past it's been 665 00:33:15,520 --> 00:33:21,200 Speaker 1: a traditional healthcare metech BC driven world, and now dep tech, 666 00:33:21,680 --> 00:33:26,000 Speaker 1: with the emergence of semiconductors, is also willing to chip 667 00:33:26,080 --> 00:33:30,880 Speaker 1: in big time into the development of such ventures. The end, 668 00:33:30,920 --> 00:33:34,800 Speaker 1: we're at the convergence of metech digital but also the 669 00:33:34,960 --> 00:33:40,440 Speaker 1: semiconductor world now that chips act. It's fuel and also 670 00:33:40,480 --> 00:33:41,040 Speaker 1: a lot of money. 671 00:33:41,040 --> 00:33:42,040 Speaker 6: In the US, but also in. 672 00:33:42,000 --> 00:33:45,920 Speaker 1: Europe, this community has bigger funds and is willing to 673 00:33:46,160 --> 00:33:46,880 Speaker 1: make this happen. 674 00:33:48,320 --> 00:33:51,520 Speaker 4: Tarlina, what's the regulatory environment like for this in Europe 675 00:33:52,160 --> 00:33:55,120 Speaker 4: relative I guess to the United States where we'll see 676 00:33:55,800 --> 00:33:57,040 Speaker 4: this in the real world. 677 00:33:57,080 --> 00:34:04,920 Speaker 1: First, yeah, we are regulated by the medical device regulatory bodies, 678 00:34:05,000 --> 00:34:08,040 Speaker 1: So for US it's very important to get, for instance, 679 00:34:08,040 --> 00:34:11,400 Speaker 1: what we call a C mark. It's a very similar 680 00:34:11,440 --> 00:34:14,560 Speaker 1: process to the one in the US. Whoever, I think 681 00:34:14,719 --> 00:34:18,960 Speaker 1: in the US there's been a tremendous progress with FDA 682 00:34:19,200 --> 00:34:24,280 Speaker 1: actually being extremely supportive with the FDA Breakthrough Designation program 683 00:34:24,640 --> 00:34:27,799 Speaker 1: but also the TAP program that we belong to, and 684 00:34:27,880 --> 00:34:31,600 Speaker 1: basically we are able to meet monthly FDA to discuss 685 00:34:31,840 --> 00:34:34,440 Speaker 1: some of the hurdles and the questions that we have 686 00:34:35,400 --> 00:34:39,719 Speaker 1: in order to develop this conversization at the speed. So 687 00:34:39,880 --> 00:34:42,640 Speaker 1: artificial intelligence is one of the subjects that we've been 688 00:34:42,719 --> 00:34:47,160 Speaker 1: treating in the last months, month after months, and this 689 00:34:47,280 --> 00:34:50,080 Speaker 1: is something that Europe still doesn't have. But I hope 690 00:34:51,000 --> 00:34:55,080 Speaker 1: that it's coming soon because it's extremely useful for innovation 691 00:34:55,280 --> 00:34:58,799 Speaker 1: and to not get people lost, which is also. 692 00:35:00,040 --> 00:35:04,520 Speaker 4: Waste of money in brain. CEO and co founder Caroline Aguila, 693 00:35:04,600 --> 00:35:16,320 Speaker 4: thank you so much. Sofi Technology has raised its profit 694 00:35:16,360 --> 00:35:18,840 Speaker 4: guidance for a third time this year. Is it benefited 695 00:35:18,880 --> 00:35:22,640 Speaker 4: from efforts to expand beyond its student lending business here 696 00:35:22,960 --> 00:35:26,800 Speaker 4: with Sofi and its results right now down seven percent. 697 00:35:27,040 --> 00:35:28,719 Speaker 4: I think the bar was pretty high going into this. 698 00:35:28,800 --> 00:35:30,520 Speaker 4: That that does put it on track for its biggest 699 00:35:30,600 --> 00:35:32,040 Speaker 4: drop since August. 700 00:35:32,160 --> 00:35:32,799 Speaker 6: What's going on? 701 00:35:33,160 --> 00:35:36,239 Speaker 4: Let's ask the CEO, Anthony noto and Anthony, you know 702 00:35:36,320 --> 00:35:39,080 Speaker 4: the story in the Court of Gone. It's kind of 703 00:35:39,120 --> 00:35:41,640 Speaker 4: the result of the work you've put into so far 704 00:35:41,800 --> 00:35:44,839 Speaker 4: doing more. Just explain that a little and where you're 705 00:35:44,880 --> 00:35:48,720 Speaker 4: bearing fruit in sort of diversifying business lines right now? 706 00:35:49,600 --> 00:35:52,920 Speaker 15: Sure, First to your point about the stock the study 707 00:35:53,000 --> 00:35:55,640 Speaker 15: is of about forty forty percent in the last month, 708 00:35:55,680 --> 00:35:57,800 Speaker 15: So it came into the quarter after a very big 709 00:35:58,280 --> 00:36:01,600 Speaker 15: increase in value over the last thirty days. So I 710 00:36:02,040 --> 00:36:04,280 Speaker 15: think we're seeing some of that being taken off the table. 711 00:36:04,840 --> 00:36:07,760 Speaker 15: But we had our best quarter as a public company. 712 00:36:08,200 --> 00:36:11,160 Speaker 15: We had record revenue. The growth rate of the revenue 713 00:36:11,200 --> 00:36:14,360 Speaker 15: accelerated to thirty percent year of year. That growth was 714 00:36:14,440 --> 00:36:17,080 Speaker 15: driven by sixty four percent year of year growth in 715 00:36:17,120 --> 00:36:21,440 Speaker 15: our financial services and our technology platform revenue taken as one, 716 00:36:21,800 --> 00:36:25,560 Speaker 15: that now accounts for forty nine percent of our total revenue. 717 00:36:25,680 --> 00:36:27,440 Speaker 15: And so we're not just a lender anymore, is the 718 00:36:27,520 --> 00:36:29,959 Speaker 15: key message. And this is a historic day for us. 719 00:36:30,200 --> 00:36:32,359 Speaker 15: Not only is it historic revenue, but we're to that 720 00:36:32,400 --> 00:36:35,960 Speaker 15: fifty to fifty split between lending and mind lending that 721 00:36:36,000 --> 00:36:38,800 Speaker 15: we wanted to drive to to really continue to diverse 722 00:36:38,800 --> 00:36:41,880 Speaker 15: fire revenue. We've been able to overcome a really tumultuous 723 00:36:41,960 --> 00:36:46,160 Speaker 15: environment over the last five years to deliver seventeen quarters 724 00:36:46,160 --> 00:36:50,960 Speaker 15: of consecutive seventeen quarters of record revenue growth and improving profitability, 725 00:36:51,360 --> 00:36:53,760 Speaker 15: and we finally got to the point where the business 726 00:36:53,800 --> 00:36:55,600 Speaker 15: is fifty to fifty, which is right where we. 727 00:36:55,600 --> 00:36:56,040 Speaker 9: Wanted to be. 728 00:36:56,840 --> 00:36:59,640 Speaker 15: The strength is really driven by the frigal services products 729 00:36:59,680 --> 00:37:02,399 Speaker 15: growing thirty seven percent year of a year, and that's 730 00:37:02,480 --> 00:37:04,000 Speaker 15: driving the revenue growth that I mentioned. 731 00:37:05,160 --> 00:37:07,080 Speaker 4: Part of this sort of slow down response in the 732 00:37:07,160 --> 00:37:10,200 Speaker 4: stock I think is some investors looking at your comments 733 00:37:10,200 --> 00:37:14,080 Speaker 4: about balance sheet growth longer term low single digit growth. 734 00:37:14,360 --> 00:37:16,440 Speaker 6: What would you be a response to that? Please? 735 00:37:17,800 --> 00:37:20,000 Speaker 15: We want to grow our revenue twenty to twenty five 736 00:37:20,040 --> 00:37:23,880 Speaker 15: percent compounded annually, so there's a lot of different drivers 737 00:37:23,920 --> 00:37:26,759 Speaker 15: to get there. We do not necessarily need to grow 738 00:37:26,760 --> 00:37:28,320 Speaker 15: a balance sheet at that rate, and in fact, we 739 00:37:28,360 --> 00:37:30,160 Speaker 15: don't plan to grow a balance sheet at that rate. 740 00:37:30,680 --> 00:37:34,160 Speaker 15: We've made a migration to more fee based revenue streams 741 00:37:34,200 --> 00:37:37,200 Speaker 15: that are capital light in high ROI. This was our 742 00:37:37,239 --> 00:37:40,920 Speaker 15: first large quarter of generating loan platform business revenue. It's 743 00:37:40,920 --> 00:37:43,400 Speaker 15: a business we've been in since twenty nineteen, but it 744 00:37:43,440 --> 00:37:45,960 Speaker 15: was a big contributor to both our growth and revenue 745 00:37:46,200 --> 00:37:49,279 Speaker 15: as well as profitability. So we don't need to grow 746 00:37:49,320 --> 00:37:52,200 Speaker 15: the balance sheet faster than it has been growing. In fact, 747 00:37:52,239 --> 00:37:55,000 Speaker 15: we want to take risk off the table and leverage 748 00:37:55,040 --> 00:37:57,200 Speaker 15: the other pieces of our businesses or other pieces of 749 00:37:57,200 --> 00:37:59,919 Speaker 15: our business that are fee based. In the core, about 750 00:38:00,000 --> 00:38:02,440 Speaker 15: one hundred and seventy five million dollars of our revenue 751 00:38:02,719 --> 00:38:05,960 Speaker 15: was from fee based revenue and growing a meaningful amount 752 00:38:06,040 --> 00:38:06,520 Speaker 15: year of year. 753 00:38:06,960 --> 00:38:09,400 Speaker 3: Let's just talk about putting that lever and indeed a 754 00:38:09,440 --> 00:38:11,880 Speaker 3: sixty four percent jump in the financial services and the 755 00:38:11,920 --> 00:38:14,600 Speaker 3: tech platform segments. Where else can you invest there to 756 00:38:14,719 --> 00:38:18,319 Speaker 3: ensure that sixty four percent is something you continue sure. 757 00:38:18,440 --> 00:38:21,520 Speaker 15: Within the financial services segment, we have several businesses. We 758 00:38:21,560 --> 00:38:25,480 Speaker 15: have our Sofi Money business, which is benefiting from a 759 00:38:25,520 --> 00:38:28,560 Speaker 15: high interest rate. We're seeing great growth in deposits two 760 00:38:28,640 --> 00:38:32,280 Speaker 15: point four billion dollars of member deposit growth, really strong 761 00:38:32,360 --> 00:38:35,480 Speaker 15: spending annualized ten billion dollars of spending, and so we'll 762 00:38:35,520 --> 00:38:38,320 Speaker 15: continue to grow that member base at a really high clip. 763 00:38:38,640 --> 00:38:42,160 Speaker 15: Second is our invest business. It's also growing meaningfully year year. 764 00:38:42,400 --> 00:38:45,200 Speaker 15: We also have our credit card business, and of course 765 00:38:45,280 --> 00:38:48,800 Speaker 15: our business that provides referrals to other financial services product 766 00:38:48,840 --> 00:38:51,080 Speaker 15: which we call Lantern. And then as I mentioned, the 767 00:38:51,120 --> 00:38:54,560 Speaker 15: loan platform business. That business itself grew over one hundred 768 00:38:54,560 --> 00:38:57,400 Speaker 15: percent year of year and it's annualizing now to billion 769 00:38:57,440 --> 00:39:00,680 Speaker 15: dollars with really strong improvement and profitability. So we'll keep 770 00:39:00,800 --> 00:39:03,640 Speaker 15: driving product and member growth in that business. In the 771 00:39:03,680 --> 00:39:06,440 Speaker 15: thirty plus percent range, and that will then follow with 772 00:39:06,560 --> 00:39:09,520 Speaker 15: revenue growth at are above that level over time. 773 00:39:09,840 --> 00:39:11,840 Speaker 3: Talk to us about the macro, because you're saying to 774 00:39:11,880 --> 00:39:15,480 Speaker 3: investors you feel really good about the current environment, that 775 00:39:15,680 --> 00:39:18,320 Speaker 3: headwinds and dissipated anything. 776 00:39:18,000 --> 00:39:18,640 Speaker 5: That worries you. 777 00:39:18,680 --> 00:39:20,560 Speaker 3: I mean, we're all still bracing for an election, and 778 00:39:20,600 --> 00:39:23,319 Speaker 3: that feels like quite a lot of lack of transparency. 779 00:39:24,040 --> 00:39:24,239 Speaker 14: Yeah. 780 00:39:24,520 --> 00:39:27,160 Speaker 15: I do think there's still a degree of uncertainty out there, 781 00:39:27,200 --> 00:39:29,440 Speaker 15: but I think the trends are clear that we're going 782 00:39:29,520 --> 00:39:32,800 Speaker 15: into a declining rate environment versus an increasing rate environment 783 00:39:33,160 --> 00:39:35,640 Speaker 15: and a declining rate environment. We have several businesses that 784 00:39:35,640 --> 00:39:38,920 Speaker 15: will benefit meaningfully. Our home loans business will benefit from 785 00:39:38,920 --> 00:39:42,160 Speaker 15: more financing. Our student loan refinance and business will allow 786 00:39:42,200 --> 00:39:44,680 Speaker 15: people to refinance their student loans at a lower rate 787 00:39:44,920 --> 00:39:47,399 Speaker 15: in a lower rate environment, and so those businesses will 788 00:39:47,400 --> 00:39:50,399 Speaker 15: have a tailwind for sure. In addition to that, as 789 00:39:50,520 --> 00:39:54,120 Speaker 15: rates come down, the rates that other competitive banks are 790 00:39:54,160 --> 00:39:57,360 Speaker 15: offering their members or their clients will also come down, 791 00:39:57,920 --> 00:40:00,279 Speaker 15: and we will be able to maintain a super your 792 00:40:00,320 --> 00:40:02,879 Speaker 15: rate compared to them because we also own the lending 793 00:40:02,880 --> 00:40:05,799 Speaker 15: origination platform, so we can use the two of them 794 00:40:05,840 --> 00:40:09,600 Speaker 15: as a competitive advantage. To drive a better apy than 795 00:40:09,600 --> 00:40:13,680 Speaker 15: our competitors broadly defined. And then lastly, within that business, 796 00:40:14,000 --> 00:40:16,920 Speaker 15: our credit card business. We just launched two new credit 797 00:40:16,920 --> 00:40:19,200 Speaker 15: cards that we think uniquely meet the needs of our 798 00:40:19,239 --> 00:40:21,920 Speaker 15: members that have a lot of growth prospects behind them 799 00:40:21,960 --> 00:40:23,319 Speaker 15: as well. 800 00:40:23,440 --> 00:40:25,640 Speaker 4: Anthony, what's your M and A plan from here? For 801 00:40:25,719 --> 00:40:26,839 Speaker 4: things you don't already have. 802 00:40:27,719 --> 00:40:29,759 Speaker 15: We're heads down. We're not focused on M and A 803 00:40:29,760 --> 00:40:32,280 Speaker 15: at all. We're not focused on capital raises. We're focused 804 00:40:32,320 --> 00:40:35,480 Speaker 15: on growing our business organically twenty to twenty five percent 805 00:40:35,480 --> 00:40:38,080 Speaker 15: in revenue on a year of your basis balance sheet 806 00:40:38,080 --> 00:40:41,160 Speaker 15: growing much slower than that, and continue to build unaided 807 00:40:41,200 --> 00:40:43,680 Speaker 15: brand awareness. Our unaated brand awareness is a key to 808 00:40:43,680 --> 00:40:46,080 Speaker 15: become a household brand name. It's a key to become 809 00:40:46,120 --> 00:40:48,799 Speaker 15: a trusted partner in a business where people have to 810 00:40:48,800 --> 00:40:51,560 Speaker 15: trust you to give give you their money. And we've 811 00:40:51,640 --> 00:40:54,120 Speaker 15: driven that up forty percent year of year to seven percent. 812 00:40:54,239 --> 00:40:56,520 Speaker 15: Our goals to get it into the thirty percent range. 813 00:40:56,680 --> 00:40:58,800 Speaker 15: We're well in our way and making great progress. 814 00:40:59,360 --> 00:41:02,200 Speaker 5: Have you got any worries about the consumer at this point? Anthony? 815 00:41:02,280 --> 00:41:04,480 Speaker 5: And consumer credit quality? 816 00:41:04,680 --> 00:41:07,960 Speaker 15: Sure, our credit has actually continued to improve. We saw 817 00:41:08,000 --> 00:41:12,239 Speaker 15: a peak and credit normalization in Q one, and it's 818 00:41:12,239 --> 00:41:15,799 Speaker 15: gotten better each quarter since then. That said, you know, 819 00:41:16,120 --> 00:41:18,399 Speaker 15: we're very vigilant and making sure that we think will 820 00:41:18,400 --> 00:41:21,400 Speaker 15: be in a stable economy. Declining rates with a recession 821 00:41:21,440 --> 00:41:24,360 Speaker 15: would not be great. Declining rates with a stable economy 822 00:41:24,400 --> 00:41:26,520 Speaker 15: would be great. And that's what our current forecast has 823 00:41:26,520 --> 00:41:27,200 Speaker 15: for twenty five. 824 00:41:28,000 --> 00:41:30,960 Speaker 4: And see we literally have thirty seconds the election. How 825 00:41:30,960 --> 00:41:31,759 Speaker 4: are you brace for it? 826 00:41:33,000 --> 00:41:35,759 Speaker 15: You know, we can work with whatever administration we have. 827 00:41:36,480 --> 00:41:39,400 Speaker 15: There are different characteristic of the administration that could be 828 00:41:39,400 --> 00:41:42,959 Speaker 15: more favorable for our business. I would say generally, more 829 00:41:43,000 --> 00:41:48,080 Speaker 15: favorable capital markets would be welcomed. More favorable treatment towards 830 00:41:48,120 --> 00:41:52,040 Speaker 15: businesses would also be welcomed. There's a lot of opportunity 831 00:41:52,080 --> 00:41:55,720 Speaker 15: that sometimes gets stifled by different approaches as it relates 832 00:41:55,760 --> 00:41:59,000 Speaker 15: to capital markets, to M and A from the different agencies. 833 00:41:59,040 --> 00:42:02,120 Speaker 15: So we're looking for a good balanced approach from whatever 834 00:42:02,160 --> 00:42:05,520 Speaker 15: administration wins. But we're prepared to work with both ends 835 00:42:05,520 --> 00:42:05,960 Speaker 15: of the aisle. 836 00:42:06,680 --> 00:42:09,640 Speaker 3: So FI CEO Anthony Notta, thank you so much for 837 00:42:09,719 --> 00:42:11,320 Speaker 3: joining us on your earnings. 838 00:42:11,360 --> 00:42:12,960 Speaker 5: We appreciate it now. 839 00:42:13,000 --> 00:42:14,920 Speaker 3: That does it for a very busy edition of Bloomberg 840 00:42:14,920 --> 00:42:17,440 Speaker 3: Technology and more earnings coming thick and fast after the ballot. 841 00:42:17,560 --> 00:42:19,399 Speaker 6: Yeah, that was a good way of ending it though. 842 00:42:19,400 --> 00:42:22,279 Speaker 4: A really interesting conversation recap on the podcast. You know 843 00:42:22,320 --> 00:42:24,879 Speaker 4: where to find the pods online on all the platforms 844 00:42:25,160 --> 00:42:27,280 Speaker 4: you'd expect. It is going to be a massive week 845 00:42:27,520 --> 00:42:30,440 Speaker 4: the megacap Tech earnings starting Earnest Affter the Bell from 846 00:42:30,440 --> 00:42:32,520 Speaker 4: the team in New York City and the team out 847 00:42:32,520 --> 00:42:33,480 Speaker 4: here in San Francisco. 848 00:42:33,880 --> 00:42:36,440 Speaker 6: Stay with us this week. This is Bloomberg Technology