1 00:00:00,840 --> 00:00:05,080 Speaker 1: From the heart of where innovation, money and power collide 2 00:00:05,400 --> 00:00:10,680 Speaker 1: in Silicon Valley and beyond. This is Bloomberg Technology with 3 00:00:10,800 --> 00:00:37,520 Speaker 1: Caroline Hyde and Ed Ludlow. 4 00:00:27,240 --> 00:00:28,080 Speaker 2: Live from New York. 5 00:00:28,160 --> 00:00:31,680 Speaker 3: This is Bloomberg Technology coming up. Trade tensions they ramp 6 00:00:31,760 --> 00:00:34,960 Speaker 3: higher as US and China accused one another of violating 7 00:00:35,000 --> 00:00:35,920 Speaker 3: recent agreements. 8 00:00:36,040 --> 00:00:38,440 Speaker 2: If we bring you the tech impact, that's. 9 00:00:38,280 --> 00:00:40,519 Speaker 3: As big tech stocks have actually been back in the 10 00:00:40,600 --> 00:00:43,000 Speaker 3: driver's seat, outperforming the S and P five hundred for. 11 00:00:43,000 --> 00:00:44,479 Speaker 2: Eight consecutive weeks. 12 00:00:44,920 --> 00:00:48,360 Speaker 3: But Tesla is under pressure with sales falling aggressively in 13 00:00:48,440 --> 00:00:50,240 Speaker 3: France to a three year low. 14 00:00:50,600 --> 00:00:52,160 Speaker 2: Can musks return from. 15 00:00:52,120 --> 00:00:55,600 Speaker 3: Doge turning around for first, let's checking on these markets 16 00:00:55,720 --> 00:00:58,760 Speaker 3: which websaw on the day. We were in risk aversion 17 00:00:58,840 --> 00:01:01,400 Speaker 3: mode a little bit earlier, and now we tread backwater 18 00:01:01,800 --> 00:01:04,000 Speaker 3: to flat. Remember May was a stellar month and the 19 00:01:04,080 --> 00:01:06,280 Speaker 3: Nazarck Cup nine percent for the S and P five hundred, 20 00:01:06,360 --> 00:01:07,080 Speaker 3: having one of its. 21 00:01:06,959 --> 00:01:08,720 Speaker 2: Best Mays in years. 22 00:01:09,000 --> 00:01:10,639 Speaker 3: But we are up just a tenth of a percent 23 00:01:10,640 --> 00:01:13,400 Speaker 3: as we try and shake off what is anxiety around 24 00:01:13,560 --> 00:01:16,679 Speaker 3: trade tensions and we get a dose of manufacturing reality. 25 00:01:16,800 --> 00:01:19,600 Speaker 3: Is manufacturing numbers come in weak. Looking at the Golden 26 00:01:19,640 --> 00:01:21,800 Speaker 3: Dragon Index. This is, of course the NASA Golden Dragon. 27 00:01:22,080 --> 00:01:25,680 Speaker 3: Looking at some of the tech giants in China, that 28 00:01:25,720 --> 00:01:27,760 Speaker 3: too recovers up a tenth of a percent. Move on 29 00:01:27,800 --> 00:01:30,319 Speaker 3: to individual movers because there are some laggards out there, 30 00:01:30,400 --> 00:01:33,319 Speaker 3: and notably Tesla has been off today. More broadly, and 31 00:01:33,360 --> 00:01:34,840 Speaker 3: we are going to keep a keen eye on what's 32 00:01:34,840 --> 00:01:36,959 Speaker 3: happening with two point seven percent to the lower as 33 00:01:36,959 --> 00:01:39,120 Speaker 3: we worry about sales in France. We'll dig into that 34 00:01:39,200 --> 00:01:41,959 Speaker 3: later in the show. Byd this is the Wrong Taker. 35 00:01:41,959 --> 00:01:44,480 Speaker 3: We'll bring you what bid shares have been doing. Their 36 00:01:44,520 --> 00:01:47,200 Speaker 3: depository receiats have been basically trading flat, but here we 37 00:01:47,240 --> 00:01:48,960 Speaker 3: have it off by about two tenths of a percent. 38 00:01:49,360 --> 00:01:50,840 Speaker 2: Was lower in Chinese trading. 39 00:01:51,000 --> 00:01:54,080 Speaker 3: That as the competition fierce competition is getting some criticism 40 00:01:54,440 --> 00:01:58,920 Speaker 3: from the government itself and government related entities. But focusing 41 00:01:58,920 --> 00:02:01,800 Speaker 3: more broadly on China, not just the EV sector, We're 42 00:02:01,840 --> 00:02:03,400 Speaker 3: going to look at what it has been happening with 43 00:02:03,440 --> 00:02:06,200 Speaker 3: the Golden Dragon index. Look, as we say, just recovering, 44 00:02:06,200 --> 00:02:08,320 Speaker 3: but after the last three days that has been having 45 00:02:08,600 --> 00:02:11,240 Speaker 3: let's call it a plummet following remarks. Now we know 46 00:02:11,240 --> 00:02:14,600 Speaker 3: of President Trump saying that Beijing is violated at trade talks. 47 00:02:14,880 --> 00:02:18,000 Speaker 3: More pain could be install course, as China issues its 48 00:02:18,000 --> 00:02:21,560 Speaker 3: own claims that the US has preached recent deal itself grimgs. 49 00:02:21,600 --> 00:02:22,919 Speaker 2: Mike Shepard joins US. 50 00:02:22,840 --> 00:02:28,720 Speaker 3: Look, the tensative agreements of Switzerland are unwinding themselves somewhat. 51 00:02:29,600 --> 00:02:32,399 Speaker 4: Well, they really are, Cara. We are seeing this datent 52 00:02:32,520 --> 00:02:35,120 Speaker 4: that have been achieved in Geneva just a few weeks 53 00:02:35,160 --> 00:02:39,519 Speaker 4: ago rapidly fade away. On Friday, we saw President Donald 54 00:02:39,600 --> 00:02:44,200 Speaker 4: Trump accuse Beijing of violating the spirit of that understanding 55 00:02:44,560 --> 00:02:48,200 Speaker 4: without offering too many specifics, but his trade advisor Jamison 56 00:02:48,240 --> 00:02:50,920 Speaker 4: Greer helped fill in the blanks, and the US concerns 57 00:02:51,000 --> 00:02:54,520 Speaker 4: seemed to center on what they see as Beijing's failure 58 00:02:54,600 --> 00:02:58,200 Speaker 4: to lift barriers on exports of rare earth minerals to 59 00:02:58,320 --> 00:03:02,840 Speaker 4: the US quickly enough whatever was discussed in Switzerland. On 60 00:03:02,880 --> 00:03:05,120 Speaker 4: the flip side, though, we are seeing China come back 61 00:03:05,320 --> 00:03:10,280 Speaker 4: very strong today accusing the US of violating its promises 62 00:03:10,440 --> 00:03:13,480 Speaker 4: under that agreement with some recent steps, and we saw 63 00:03:13,480 --> 00:03:17,320 Speaker 4: those with the American move to unveil new guidelines that 64 00:03:17,360 --> 00:03:22,160 Speaker 4: are coming on AI chip export controls, and that included 65 00:03:22,280 --> 00:03:26,440 Speaker 4: a warning to US allies against using Huawei's Ascend chip, 66 00:03:26,480 --> 00:03:29,160 Speaker 4: which is a challenge of course to Nvidia. The US 67 00:03:29,200 --> 00:03:32,360 Speaker 4: has also moved to restrict exports and sales of chip 68 00:03:32,400 --> 00:03:35,200 Speaker 4: design software to China, which is a big deal for 69 00:03:35,360 --> 00:03:39,480 Speaker 4: China's own AI and tech ambitions. And then finally the 70 00:03:39,680 --> 00:03:42,400 Speaker 4: icing on the cake of course, the revocation of Chinese 71 00:03:42,400 --> 00:03:45,760 Speaker 4: student visas. All of those things in China's bill of 72 00:03:45,760 --> 00:03:49,200 Speaker 4: goods against the US this morning, and this raises questions 73 00:03:49,200 --> 00:03:52,760 Speaker 4: about whether hjion Paying and Donald Trump will actually speak 74 00:03:52,800 --> 00:03:54,680 Speaker 4: by phone as Donald Trump has said he would like 75 00:03:54,760 --> 00:03:55,640 Speaker 4: to and mind. 76 00:03:55,520 --> 00:03:58,320 Speaker 3: What's so notable is that two of those moves of 77 00:03:58,400 --> 00:04:02,120 Speaker 3: the three that you outline completely tech focused. Is it 78 00:04:02,160 --> 00:04:04,040 Speaker 3: going to be technology that remains the eye of the 79 00:04:04,080 --> 00:04:05,680 Speaker 3: storm when this attack. 80 00:04:06,680 --> 00:04:08,800 Speaker 4: Well, it's either the eye of the storm, Caro, or 81 00:04:08,880 --> 00:04:11,480 Speaker 4: the thing that is driving the direction of the storm. 82 00:04:11,560 --> 00:04:15,560 Speaker 4: Because remember this comes on top of years of escalating 83 00:04:15,640 --> 00:04:20,240 Speaker 4: restrictions on exports to China imposed by the US and 84 00:04:20,400 --> 00:04:24,159 Speaker 4: really also twisting allies arms to take part in those 85 00:04:24,240 --> 00:04:27,400 Speaker 4: as well. Remember this is not just semiconductor exports, it's 86 00:04:27,440 --> 00:04:30,880 Speaker 4: also sales of chip making machinery to Beijing. All of 87 00:04:30,920 --> 00:04:34,960 Speaker 4: this is designed to curb China's ambitions in areas like 88 00:04:35,080 --> 00:04:38,720 Speaker 4: artificial intelligence, and this is really starting to take a 89 00:04:38,839 --> 00:04:42,960 Speaker 4: toll in a way politically between Washington and Beijing, and 90 00:04:43,000 --> 00:04:46,680 Speaker 4: we're seeing tech emerge as this flashpoint and could be 91 00:04:46,760 --> 00:04:51,400 Speaker 4: what unravels whatever understanding may have emerged engine Even now, 92 00:04:51,680 --> 00:04:55,240 Speaker 4: there is a lot of time before the ninety day 93 00:04:55,320 --> 00:04:58,400 Speaker 4: pause expires, and the two sides still could find a 94 00:04:58,480 --> 00:05:02,599 Speaker 4: way back to the bargaining table and to maybe have 95 00:05:02,720 --> 00:05:05,400 Speaker 4: that call between the two leaders. But right now the 96 00:05:05,480 --> 00:05:08,159 Speaker 4: direction of travel is not heading in that way, at 97 00:05:08,240 --> 00:05:09,400 Speaker 4: least from what we are seeing. 98 00:05:09,440 --> 00:05:11,719 Speaker 3: Caro make Shepherd breaking it down, We thank you, and 99 00:05:11,960 --> 00:05:15,279 Speaker 3: let's stick with how markets are reacting, but more broadly, 100 00:05:15,360 --> 00:05:18,120 Speaker 3: how they should be thinking about this trade uncertainty. An 101 00:05:18,120 --> 00:05:21,599 Speaker 3: expert is Eliza Toovin, managing director at Gano Global. We 102 00:05:21,920 --> 00:05:25,080 Speaker 3: turn to your years of advising government, the CIA, and 103 00:05:25,120 --> 00:05:29,160 Speaker 3: of course, more broadly the field of enterprise. How bad 104 00:05:29,200 --> 00:05:32,039 Speaker 3: is this looking? How much we were turning to escalation now? 105 00:05:33,680 --> 00:05:35,680 Speaker 5: Hi, Caroline, great to be on with you, and I 106 00:05:35,720 --> 00:05:39,240 Speaker 5: agree with Michael Shepherd that the honeymoon. 107 00:05:38,680 --> 00:05:40,599 Speaker 2: We saw coming out of Geneva. 108 00:05:40,160 --> 00:05:43,479 Speaker 5: A few weeks ago is now shattered and we're back 109 00:05:43,520 --> 00:05:46,400 Speaker 5: in this cycle of escalation between the US and China, 110 00:05:46,480 --> 00:05:48,720 Speaker 5: and I agree with you that at the center of 111 00:05:48,760 --> 00:05:53,600 Speaker 5: this is technology. What's interesting about China's very strenuous reaction 112 00:05:54,120 --> 00:05:57,160 Speaker 5: to the US export controls on the Huawei assnship is 113 00:05:57,560 --> 00:06:00,960 Speaker 5: their propaganda apparatus has long been arguing that the US 114 00:06:01,040 --> 00:06:05,200 Speaker 5: export controls are ineffective and that China can work around them. 115 00:06:05,520 --> 00:06:08,800 Speaker 5: But I think the level of emphasis they're putting on this, 116 00:06:08,960 --> 00:06:11,960 Speaker 5: you know, the volume at which they're really screaming for 117 00:06:12,000 --> 00:06:15,839 Speaker 5: these things to be removed, indicates just how effective and 118 00:06:15,880 --> 00:06:18,080 Speaker 5: how painful they are on China. 119 00:06:18,240 --> 00:06:19,440 Speaker 6: So we're going to be. 120 00:06:19,520 --> 00:06:23,440 Speaker 5: Seeing to see, watch to see how the US reacts 121 00:06:23,480 --> 00:06:27,400 Speaker 5: going forward. China is trying to press the US very 122 00:06:27,440 --> 00:06:31,440 Speaker 5: hard to make more concessions. After Geneva, the tariffs came 123 00:06:31,480 --> 00:06:36,440 Speaker 5: down significantly, but really at the heart of those tensions 124 00:06:36,560 --> 00:06:40,240 Speaker 5: were China's export control on rare earth and then the 125 00:06:40,360 --> 00:06:44,520 Speaker 5: US export controls on AI chips and related tooling. 126 00:06:44,960 --> 00:06:45,480 Speaker 2: Let's go to. 127 00:06:45,440 --> 00:06:48,440 Speaker 3: AI chips first before we get to rares, because there's 128 00:06:48,440 --> 00:06:51,760 Speaker 3: not only the criticism coming from China but some US companies. 129 00:06:51,800 --> 00:06:53,320 Speaker 3: I just think of what Jensen Wong was telling our 130 00:06:53,360 --> 00:06:56,599 Speaker 3: own ed Ludlow last week how much basically we're forcing 131 00:06:56,680 --> 00:06:59,200 Speaker 3: China to innovate, and how he longs to be able 132 00:06:59,240 --> 00:06:59,960 Speaker 3: to access that much. 133 00:07:00,680 --> 00:07:01,720 Speaker 2: Do you ever see that happening. 134 00:07:03,720 --> 00:07:07,080 Speaker 5: I think it's all about this scale of compute that's needed. 135 00:07:07,440 --> 00:07:11,360 Speaker 5: China can always find workarounds through smuggling, through making some 136 00:07:11,480 --> 00:07:14,240 Speaker 5: of their own chips, but it's really all about scaling, 137 00:07:14,360 --> 00:07:16,840 Speaker 5: and as you talk about on your show a lot, 138 00:07:17,280 --> 00:07:20,880 Speaker 5: really being able to make enough chips to supply the 139 00:07:21,040 --> 00:07:25,280 Speaker 5: rapidly escalating demands of compute in this age of AI 140 00:07:25,440 --> 00:07:27,920 Speaker 5: is at issue, and that's where the US still has 141 00:07:27,960 --> 00:07:29,840 Speaker 5: this very large. 142 00:07:29,560 --> 00:07:31,360 Speaker 2: Lead just being able to scale up. 143 00:07:31,640 --> 00:07:35,160 Speaker 5: So if China is able to extract any additional concessions 144 00:07:35,200 --> 00:07:38,200 Speaker 5: from the US so that they can get more chips legally, 145 00:07:38,280 --> 00:07:39,720 Speaker 5: that's going to help them kind. 146 00:07:39,520 --> 00:07:41,640 Speaker 2: Of shrink the gap faster. 147 00:07:42,080 --> 00:07:45,560 Speaker 5: However, if the US keeps these export controls in place 148 00:07:45,920 --> 00:07:49,240 Speaker 5: and enforces them strictly and gets allies and partners on 149 00:07:49,320 --> 00:07:52,120 Speaker 5: board on some of the tooling, some of the aspects 150 00:07:52,160 --> 00:07:55,920 Speaker 5: where countries like Japan and the Netherlands and Germany are strong, 151 00:07:56,360 --> 00:08:01,120 Speaker 5: then this gap between the US and China compute stance 152 00:08:01,200 --> 00:08:03,680 Speaker 5: to lengthen over the coming months and years. 153 00:08:03,920 --> 00:08:06,840 Speaker 3: But both sides have chips on the table here that 154 00:08:06,880 --> 00:08:08,560 Speaker 3: they can play, and play hard. I was just at 155 00:08:08,600 --> 00:08:11,560 Speaker 3: the Reagan National Economic Forum on Friday where there was 156 00:08:11,560 --> 00:08:15,160 Speaker 3: a lot of anxiety just how confident Chinese leadership is 157 00:08:15,200 --> 00:08:17,200 Speaker 3: at the moment that they too can fight back. Liza, 158 00:08:17,640 --> 00:08:21,040 Speaker 3: what about the rare earth's signals? How much pain could 159 00:08:21,040 --> 00:08:23,520 Speaker 3: that levee on US industry itself as well? 160 00:08:24,800 --> 00:08:28,960 Speaker 5: We know that the auto manufacturers and the defense manufacturers 161 00:08:29,000 --> 00:08:32,680 Speaker 5: were they came crying to the US government before the 162 00:08:32,720 --> 00:08:35,679 Speaker 5: Geneva talks and said that these things are starting to 163 00:08:36,520 --> 00:08:41,160 Speaker 5: impose pain and in starting to impose work stoppages, and 164 00:08:41,920 --> 00:08:42,880 Speaker 5: that's something. 165 00:08:42,559 --> 00:08:44,520 Speaker 2: That it's a gray rhino. 166 00:08:44,640 --> 00:08:48,160 Speaker 5: I mean, the US national security establishment has known about 167 00:08:48,160 --> 00:08:52,040 Speaker 5: this dependency on China for rare earth processing for years, 168 00:08:52,400 --> 00:08:53,520 Speaker 5: but they haven't come up. 169 00:08:53,480 --> 00:08:56,760 Speaker 2: With a solution at scale. But I think what was. 170 00:08:56,760 --> 00:08:59,840 Speaker 5: Interesting over the last month is that China has broken 171 00:08:59,840 --> 00:09:04,080 Speaker 5: the glass on actually using this coercive instrument. It's actually 172 00:09:04,920 --> 00:09:10,079 Speaker 5: now ratcheting up pressure it. Shei Jinping has an appetite 173 00:09:10,400 --> 00:09:12,920 Speaker 5: for leverage, and now that he knows he has this 174 00:09:13,000 --> 00:09:15,079 Speaker 5: leverage over the US you're going to see him pushing 175 00:09:15,480 --> 00:09:17,920 Speaker 5: again and again to kind of recycle this leverage and 176 00:09:17,960 --> 00:09:23,240 Speaker 5: try to extract more concessions from the US. But rather 177 00:09:23,280 --> 00:09:26,319 Speaker 5: than bending over and giving China more concessions, over the 178 00:09:26,400 --> 00:09:28,800 Speaker 5: last couple of weeks, you've seen them doubling down with 179 00:09:28,880 --> 00:09:34,920 Speaker 5: this empowered Commerce department, strengthening and broadening the export controls. 180 00:09:35,600 --> 00:09:38,960 Speaker 3: So you don't expect the US to blink in this moment. 181 00:09:39,240 --> 00:09:42,600 Speaker 3: What advice do you give to the private sect right 182 00:09:42,600 --> 00:09:45,040 Speaker 3: now as to how tough this could get for access 183 00:09:45,080 --> 00:09:47,280 Speaker 3: to RAS and indeed, in the flip side of you're 184 00:09:47,280 --> 00:09:49,679 Speaker 3: a Chinese company access to US chips. 185 00:09:51,040 --> 00:09:54,120 Speaker 5: Well, I think that the private sector needs to remember 186 00:09:54,200 --> 00:09:58,280 Speaker 5: that this isn't just a competition about tech and trade, 187 00:09:58,520 --> 00:10:01,320 Speaker 5: I mean tariffs and technolog The export controls, of course, 188 00:10:01,360 --> 00:10:05,200 Speaker 5: are incredibly important to markets, but perhaps even more important 189 00:10:05,240 --> 00:10:09,520 Speaker 5: is to watch the geopolitical tensions that are unfolding in 190 00:10:09,559 --> 00:10:12,960 Speaker 5: the Indo Pacific around Taiwan in the South China Sea. 191 00:10:13,160 --> 00:10:16,560 Speaker 5: Secretary of Defense Pete Hegseth, just on Saturday at the 192 00:10:16,600 --> 00:10:20,680 Speaker 5: Shangri Law Forum was warning that a Taiwan crisis could 193 00:10:20,679 --> 00:10:25,239 Speaker 5: be imminent, and we know that China frequently has military 194 00:10:25,400 --> 00:10:29,480 Speaker 5: drills kind of these practice exercises around Taiwan and in 195 00:10:29,520 --> 00:10:32,800 Speaker 5: the South China Sea, and it's had the habit lately 196 00:10:32,880 --> 00:10:35,600 Speaker 5: of not announcing these in advance, so it's not giving 197 00:10:35,679 --> 00:10:38,240 Speaker 5: markets heads up that these are going to happen. 198 00:10:38,480 --> 00:10:39,480 Speaker 2: Why does it do that. 199 00:10:39,600 --> 00:10:44,320 Speaker 5: It wants to preserve ambiguity if outside observers aren't sure 200 00:10:44,480 --> 00:10:47,800 Speaker 5: if this is just a drill or if it's something 201 00:10:47,880 --> 00:10:51,959 Speaker 5: more an actual rehearsal for something like a blockade. That's 202 00:10:52,080 --> 00:10:55,400 Speaker 5: very worrisome because it shrinks the window of warning. And 203 00:10:55,440 --> 00:10:59,480 Speaker 5: that's something that we're watching very closely at Garno Global 204 00:10:59,559 --> 00:11:03,480 Speaker 5: kind of the links between these technology export controls terrors 205 00:11:03,480 --> 00:11:07,080 Speaker 5: and the potential for some kind of supply chain disrupting 206 00:11:07,160 --> 00:11:11,120 Speaker 5: crisis around Taiwan that could prevent the chips from getting 207 00:11:11,120 --> 00:11:14,160 Speaker 5: out of Taiwan, perhaps for a couple of weeks or longer. 208 00:11:14,440 --> 00:11:16,640 Speaker 3: Well, that's crucial to our audience, So thanks for making 209 00:11:16,640 --> 00:11:19,920 Speaker 3: that link. Visitobin of course, managing director at Garno Global. 210 00:11:20,240 --> 00:11:22,760 Speaker 3: Great to have some time with you. Coming up, let's 211 00:11:22,760 --> 00:11:25,520 Speaker 3: talk about chips more. But Broadcomm's results this week, they're 212 00:11:25,600 --> 00:11:27,920 Speaker 3: likely to actually show ai demand is still booming. We 213 00:11:28,000 --> 00:11:30,200 Speaker 3: can talk about what's expected, how it could impact the 214 00:11:30,200 --> 00:11:43,840 Speaker 3: wider market. This is bloombag technology. Let's talk about how 215 00:11:43,920 --> 00:11:46,880 Speaker 3: the same tech giants that contributed to the S and 216 00:11:46,880 --> 00:11:49,319 Speaker 3: P five pounders decline in April, they are now driving 217 00:11:49,360 --> 00:11:52,480 Speaker 3: the recovery in US equities. Just taking video and put 218 00:11:52,480 --> 00:11:54,719 Speaker 3: a bow on a better than expected earning season for 219 00:11:54,760 --> 00:11:57,560 Speaker 3: big tech last week by delivering a strong outlook for 220 00:11:57,640 --> 00:12:00,679 Speaker 3: revenue despite US restrictions on sales of its to China. 221 00:12:01,120 --> 00:12:02,200 Speaker 2: This is as we expect. 222 00:12:02,280 --> 00:12:04,880 Speaker 3: Earning some Braolcom this week, you see the shares are 223 00:12:04,920 --> 00:12:05,760 Speaker 3: also trading higher. 224 00:12:05,920 --> 00:12:06,559 Speaker 2: Lue Meg's run. 225 00:12:06,600 --> 00:12:09,800 Speaker 3: Bastantaker has been writing about how the Magnificent Seven in 226 00:12:09,840 --> 00:12:13,679 Speaker 3: particular have helped bounce back of our lows some phenomenal 227 00:12:13,720 --> 00:12:14,560 Speaker 3: recovery numbers. 228 00:12:16,360 --> 00:12:18,880 Speaker 7: Hey, thanks for having me. So this earning season was 229 00:12:18,920 --> 00:12:22,040 Speaker 7: a real test for big tech, especially given just how 230 00:12:22,160 --> 00:12:25,840 Speaker 7: uncertain the backdrop has become, given tariffs, given all sorts 231 00:12:25,840 --> 00:12:28,960 Speaker 7: of geopolitical tensions, given concerns about AI spending in the 232 00:12:29,080 --> 00:12:31,920 Speaker 7: ROI from AI, and I would say that broadly speaking, 233 00:12:31,960 --> 00:12:34,959 Speaker 7: this group passed with flying colors. I'd say the notable 234 00:12:35,000 --> 00:12:37,040 Speaker 7: exception was Apple, which is dealing with a number of 235 00:12:37,040 --> 00:12:40,520 Speaker 7: its own sort of idiosyncratic issues. But the major companies 236 00:12:40,600 --> 00:12:45,600 Speaker 7: like Microsoft, Nvidia, Meta Alphabet quite strong across the board, 237 00:12:45,640 --> 00:12:47,319 Speaker 7: showing pretty positive trends. 238 00:12:47,320 --> 00:12:48,960 Speaker 6: And these are all companies. 239 00:12:48,480 --> 00:12:51,280 Speaker 7: That have allowed the market to really recover off the 240 00:12:51,320 --> 00:12:53,360 Speaker 7: low that we saw early in April. 241 00:12:53,800 --> 00:12:56,000 Speaker 3: It's interesting that we're not back to our record highs. 242 00:12:56,040 --> 00:12:57,400 Speaker 3: We're actually inching in on them. 243 00:12:57,480 --> 00:12:57,720 Speaker 8: Ryan. 244 00:12:57,840 --> 00:12:59,839 Speaker 3: Meanwhile, looking at the S and P five hundred, the 245 00:13:00,240 --> 00:13:03,480 Speaker 3: valuation story, that's starting to get a little dicey, right 246 00:13:03,520 --> 00:13:05,400 Speaker 3: when you're looking at magnificent seven names. 247 00:13:05,840 --> 00:13:07,679 Speaker 7: Yeah, so I'd say these names got pretty cheap by 248 00:13:07,720 --> 00:13:10,040 Speaker 7: a lot of metrics in the whole tear off cell 249 00:13:10,080 --> 00:13:12,720 Speaker 7: off in early April. They have come back quite dramatically, 250 00:13:12,760 --> 00:13:15,040 Speaker 7: I think in videos up something like forty five percent 251 00:13:15,160 --> 00:13:17,880 Speaker 7: or so since that low. So these are pretty remarkable 252 00:13:17,920 --> 00:13:20,600 Speaker 7: gains and it has come back in the valuation. But 253 00:13:20,640 --> 00:13:23,000 Speaker 7: I would say sort of the countering argument to this 254 00:13:23,280 --> 00:13:25,800 Speaker 7: is growth is expected to remain pretty strong for a 255 00:13:25,800 --> 00:13:27,400 Speaker 7: lot of these companies, and if you look at something 256 00:13:27,440 --> 00:13:30,120 Speaker 7: like the PEG ratio, they are all treating at fairly 257 00:13:30,280 --> 00:13:34,520 Speaker 7: modest ratios on that metric. So the valuations have come 258 00:13:34,600 --> 00:13:36,800 Speaker 7: back some but the growth that was just affirmed in 259 00:13:36,840 --> 00:13:39,199 Speaker 7: these most recent reports also pretty positive. 260 00:13:39,720 --> 00:13:43,120 Speaker 3: We're looking at the moment of how pricey perhaps they 261 00:13:43,160 --> 00:13:46,520 Speaker 3: are from a price to forward looking earnings perspective at 262 00:13:46,600 --> 00:13:48,160 Speaker 3: least Umeg's ran for Selca. 263 00:13:48,240 --> 00:13:49,640 Speaker 2: It's great to have you on as always. 264 00:13:49,840 --> 00:13:51,920 Speaker 3: Let's get you even more of a take here and 265 00:13:51,920 --> 00:13:54,360 Speaker 3: particularly on AI demand what it means for certain companies 266 00:13:54,400 --> 00:13:56,400 Speaker 3: about to give us their numbers. Angelo Zeno's with us 267 00:13:56,480 --> 00:13:59,960 Speaker 3: VPN senior equity analyst over at CFRA Research. We think, 268 00:14:00,000 --> 00:14:02,840 Speaker 3: think about how in Nvidia helped the market recover. We 269 00:14:02,880 --> 00:14:05,520 Speaker 3: saw the numbers looking good. What about Broadcom as well? 270 00:14:05,559 --> 00:14:07,480 Speaker 3: We're still going to get AI optimism there. 271 00:14:08,960 --> 00:14:11,640 Speaker 9: Yeah, so thanks for having me, Caroline, and I think, yeah, 272 00:14:11,920 --> 00:14:14,000 Speaker 9: to your point, I think it's going to be very strong. 273 00:14:14,160 --> 00:14:16,360 Speaker 9: We're looking for top line growth of about twenty percent 274 00:14:16,400 --> 00:14:20,600 Speaker 9: here for the for the April quarter. And listen, I 275 00:14:20,960 --> 00:14:23,600 Speaker 9: think when you kind of look overall the trends that 276 00:14:23,640 --> 00:14:26,440 Speaker 9: we've seen here over the last couple couple of weeks 277 00:14:26,520 --> 00:14:28,680 Speaker 9: or you know, since Q one earning season really starting 278 00:14:28,720 --> 00:14:30,800 Speaker 9: with you know, Alphabet and Microsoft at the start of 279 00:14:30,880 --> 00:14:35,440 Speaker 9: earning season up until in video last week, the trend 280 00:14:35,520 --> 00:14:37,560 Speaker 9: on the compute side of things is I think much 281 00:14:37,560 --> 00:14:41,480 Speaker 9: stronger than anybody had anticipated, and really something that Gentsen 282 00:14:41,560 --> 00:14:45,360 Speaker 9: Wong last year, really last week really pounded the table on. 283 00:14:45,480 --> 00:14:47,640 Speaker 9: So when you kind of think about the drivers here 284 00:14:47,840 --> 00:14:51,600 Speaker 9: specifically for you know, the AI semi names here, over 285 00:14:51,640 --> 00:14:53,880 Speaker 9: the next couple of years, it really is going to 286 00:14:53,880 --> 00:14:56,600 Speaker 9: be tied to compute and the higher demand for computer 287 00:14:56,640 --> 00:14:59,120 Speaker 9: is going to drive higher capital spending plans, right, which 288 00:14:59,160 --> 00:15:01,800 Speaker 9: is what we saw Q one earning season. So we 289 00:15:01,840 --> 00:15:06,120 Speaker 9: think those trends remain intact here. For broadcams specifically, they've 290 00:15:06,120 --> 00:15:09,760 Speaker 9: got to buy a sixty forty split in semis versus software, 291 00:15:10,320 --> 00:15:12,760 Speaker 9: So the semi side will continue to drive that demand. 292 00:15:12,880 --> 00:15:16,440 Speaker 9: But software shouldn't be ignored because the profitability there and 293 00:15:16,480 --> 00:15:17,920 Speaker 9: growth continues to be very good. 294 00:15:18,360 --> 00:15:21,520 Speaker 3: I mean, we're expecting strong things from broad Comm you too. 295 00:15:21,600 --> 00:15:25,360 Speaker 3: Look your top semi conductive names are in Video and Broadcom, AMD, Marvell. 296 00:15:25,720 --> 00:15:27,280 Speaker 3: I'm looking at how much some of those names have 297 00:15:27,400 --> 00:15:29,800 Speaker 3: already driven the S and P five hundred recovery. A 298 00:15:29,840 --> 00:15:32,400 Speaker 3: great chart from Ryan's story is that in Vidio makes 299 00:15:32,480 --> 00:15:35,120 Speaker 3: up twelve percent. Basically, the S and P five hundred 300 00:15:35,160 --> 00:15:38,280 Speaker 3: is rebound since April, but swiftly after them was Microsoft 301 00:15:38,280 --> 00:15:41,160 Speaker 3: that you named as being a winner of late broadcom 302 00:15:41,320 --> 00:15:42,280 Speaker 3: some five percent. 303 00:15:42,640 --> 00:15:44,680 Speaker 2: But is the valuation getting a little too. 304 00:15:44,600 --> 00:15:47,440 Speaker 3: Rich now given the amount of geopolitical anxiety we're just 305 00:15:47,440 --> 00:15:49,080 Speaker 3: talking about with Eliza Tobin. 306 00:15:50,080 --> 00:15:52,160 Speaker 9: Yeah, I mean, I think as far as the valuation 307 00:15:52,360 --> 00:15:55,720 Speaker 9: is concerned, you know, it's it's not as attractive as 308 00:15:55,720 --> 00:15:57,320 Speaker 9: it was four to six weeks ago. But I will 309 00:15:57,320 --> 00:15:59,560 Speaker 9: tell you that the valuations has just got you know, 310 00:16:00,160 --> 00:16:03,240 Speaker 9: just hit you know, basement level values. I mean, you 311 00:16:03,240 --> 00:16:06,320 Speaker 9: were talking about Nvidia at one point trading about seventeen 312 00:16:06,400 --> 00:16:08,680 Speaker 9: eighteen times on our twenty twenty six estimate. 313 00:16:08,880 --> 00:16:10,480 Speaker 10: They're now try closer. 314 00:16:10,120 --> 00:16:13,240 Speaker 9: To about twenty four to twenty five times on twenty 315 00:16:13,280 --> 00:16:15,440 Speaker 9: twenty six expectations. And I will tell you this, the 316 00:16:15,520 --> 00:16:18,280 Speaker 9: visibility again is improving here has improved of the last 317 00:16:18,320 --> 00:16:20,960 Speaker 9: couple of weeks, whether it be on the trade side 318 00:16:20,960 --> 00:16:24,240 Speaker 9: of things, improving commentary on trade, or whether it be 319 00:16:24,480 --> 00:16:27,640 Speaker 9: you know, just from the reiteration in terms of capex 320 00:16:27,640 --> 00:16:32,040 Speaker 9: spens plans for some of these hyperscalers. Now, I will say, 321 00:16:32,720 --> 00:16:34,760 Speaker 9: as far as you know what to look out for 322 00:16:34,920 --> 00:16:37,320 Speaker 9: here on the geopolitical side of things, A lot is 323 00:16:37,360 --> 00:16:39,200 Speaker 9: going There are a lot of moving parts here. Over 324 00:16:39,240 --> 00:16:41,240 Speaker 9: the next couple of weeks, obviously we want to hear 325 00:16:41,280 --> 00:16:45,160 Speaker 9: about the US China discussions. But as far as semis 326 00:16:45,160 --> 00:16:48,120 Speaker 9: are pincerned, there's a two thirty two semiconductor investigation that 327 00:16:48,240 --> 00:16:51,360 Speaker 9: is ongoing right now. We expect to get more clarity 328 00:16:51,640 --> 00:16:53,600 Speaker 9: in terms of what is what that's going to look 329 00:16:53,680 --> 00:16:56,360 Speaker 9: like as far as tariffs are concerned here over the 330 00:16:56,400 --> 00:16:59,360 Speaker 9: next two months or so. So it's waiting simo. But 331 00:16:59,400 --> 00:17:02,000 Speaker 9: our view you're going to see a permanent tariff on 332 00:17:02,040 --> 00:17:05,680 Speaker 9: the semiconductor industry when that gets unveiled. Our base case 333 00:17:05,760 --> 00:17:08,240 Speaker 9: right now is about a twenty five percent tariff. 334 00:17:08,520 --> 00:17:12,480 Speaker 3: What about the smartphone industry, because actually Apple has contributed 335 00:17:12,560 --> 00:17:14,760 Speaker 3: to the reprieve and the S and P five hundred, 336 00:17:14,840 --> 00:17:17,359 Speaker 3: it's one of your top names for hardware. But boy, 337 00:17:17,400 --> 00:17:20,000 Speaker 3: we're wondering whether it's going to get individual tariffs of 338 00:17:20,040 --> 00:17:22,240 Speaker 3: twenty five percent landed on it, not to mention maybe 339 00:17:22,320 --> 00:17:23,480 Speaker 3: Samsung gets the same though. 340 00:17:24,359 --> 00:17:26,560 Speaker 9: Yeah, so you know, we're not looking for an individual 341 00:17:26,600 --> 00:17:28,919 Speaker 9: tariff on that side of things. But our view here 342 00:17:29,119 --> 00:17:32,000 Speaker 9: is they you know, they fall under the national security 343 00:17:32,080 --> 00:17:35,600 Speaker 9: umbre umbrella of the two thirty two semiconductor investigation, similar 344 00:17:35,600 --> 00:17:39,919 Speaker 9: to many other hardware names that are right now exempt from. 345 00:17:39,800 --> 00:17:41,119 Speaker 10: A lot of the tariffs. 346 00:17:41,480 --> 00:17:44,200 Speaker 9: But that said, if we're assuming something along the lines 347 00:17:44,240 --> 00:17:47,159 Speaker 9: of a twenty five percent, you know, based tariff or 348 00:17:47,960 --> 00:17:51,240 Speaker 9: two thirty two, that would imply that Apple probably has 349 00:17:51,280 --> 00:17:54,040 Speaker 9: to increase the price of its iPhone seventeen this fall. 350 00:17:54,160 --> 00:17:56,360 Speaker 9: Our view is probably along the lines of at least 351 00:17:56,400 --> 00:18:00,000 Speaker 9: fifty dollars or so. So again, we have to wait 352 00:18:00,160 --> 00:18:02,280 Speaker 9: see to see how all this stuff really plays itself 353 00:18:02,320 --> 00:18:04,720 Speaker 9: out on the geopolitical side of things, But our view 354 00:18:04,840 --> 00:18:06,959 Speaker 9: is there's going to be some sort of permanent tariff 355 00:18:07,000 --> 00:18:11,639 Speaker 9: that goes into effect for the hardware companies and specifically Apple, 356 00:18:11,760 --> 00:18:15,359 Speaker 9: and Apple we think is best positioned to offset some 357 00:18:15,400 --> 00:18:18,359 Speaker 9: of those higher tariffs because of their brand recognition and 358 00:18:18,359 --> 00:18:19,440 Speaker 9: because of their pricing power. 359 00:18:19,880 --> 00:18:23,359 Speaker 3: So angelo, if an investor doesn't have the exposure they'd 360 00:18:23,480 --> 00:18:25,520 Speaker 3: like in these names, should they buy at this point? 361 00:18:27,040 --> 00:18:28,879 Speaker 9: I mean, I think that's a good question. You know, 362 00:18:29,000 --> 00:18:30,719 Speaker 9: we look at it right now in the sense that 363 00:18:31,040 --> 00:18:35,359 Speaker 9: we're looking more for a near term, you know, digestion period. 364 00:18:35,359 --> 00:18:37,840 Speaker 9: The dangerous thing with that is you just don't know 365 00:18:38,200 --> 00:18:39,800 Speaker 9: what you're going to get in a day in, day 366 00:18:39,800 --> 00:18:43,199 Speaker 9: out basis because of the geopolitical environment right now. So 367 00:18:43,240 --> 00:18:45,639 Speaker 9: if you don't own any of these names right now, 368 00:18:45,880 --> 00:18:47,720 Speaker 9: our view is you do want to buy some of 369 00:18:47,760 --> 00:18:50,320 Speaker 9: these AI semi oriented names because they. 370 00:18:50,160 --> 00:18:52,600 Speaker 10: Are going to really drive the. 371 00:18:52,600 --> 00:18:55,760 Speaker 9: Earnings potential for the tech sector here over the next 372 00:18:55,800 --> 00:18:59,320 Speaker 9: two to three years, specifically Nvidia and Broadcom, as well 373 00:18:59,320 --> 00:19:01,840 Speaker 9: as some of the others smaller names, but Nvidia and 374 00:19:01,880 --> 00:19:03,760 Speaker 9: Broadcom would kind of be two of the top names 375 00:19:03,800 --> 00:19:06,240 Speaker 9: with the best visibility out there. And even if you 376 00:19:06,280 --> 00:19:08,119 Speaker 9: see some of these negative headwinds will whether it be 377 00:19:08,200 --> 00:19:11,320 Speaker 9: tied to the two thirty two semi conductor investigation or 378 00:19:11,359 --> 00:19:14,160 Speaker 9: something on the trade side of things. Ultimately we think 379 00:19:14,160 --> 00:19:16,480 Speaker 9: this stuff works itself out and the earnings potential is 380 00:19:16,520 --> 00:19:18,880 Speaker 9: so great that you know, two to three years down 381 00:19:18,880 --> 00:19:21,640 Speaker 9: the road, these stocks should be significantly higher than where. 382 00:19:21,440 --> 00:19:21,960 Speaker 10: They are now. 383 00:19:22,160 --> 00:19:23,400 Speaker 2: We get those earnings for Broadcom. 384 00:19:23,440 --> 00:19:26,040 Speaker 3: On Thursday after the bell, Angelo Zino a busy week 385 00:19:26,040 --> 00:19:27,479 Speaker 3: ahead cfr A Research. 386 00:19:27,520 --> 00:19:28,120 Speaker 2: We thank you. 387 00:19:35,760 --> 00:19:38,879 Speaker 3: Samsung well, it's nearing a wide ranging deal to invest 388 00:19:38,920 --> 00:19:41,920 Speaker 3: in Perplexity AI and put search technology from the AI 389 00:19:42,000 --> 00:19:45,160 Speaker 3: startup at the very forefront of the South Korean company's devices. 390 00:19:45,320 --> 00:19:47,960 Speaker 3: It's according to people familiar, the two companies are already 391 00:19:47,960 --> 00:19:50,879 Speaker 3: in talks to pre load Perplexities app and Assistant on 392 00:19:51,000 --> 00:19:54,800 Speaker 3: upcoming Samsung devices who like Seth Figeman joins us for 393 00:19:54,880 --> 00:19:57,440 Speaker 3: more on the story, and we knew that they struck 394 00:19:57,480 --> 00:20:01,840 Speaker 3: the still with Motorola Samsung ongoing conversation. How deeply into 395 00:20:01,880 --> 00:20:02,720 Speaker 3: twine will they become? 396 00:20:02,920 --> 00:20:05,600 Speaker 11: Yeah, I think this is even more expensive than Mogo Motorola. 397 00:20:05,600 --> 00:20:08,280 Speaker 11: It's about them being preloaded on devices, which matters a lot, 398 00:20:08,359 --> 00:20:11,719 Speaker 11: But with Samsung, it's also integrating into its assystem, product, 399 00:20:11,800 --> 00:20:15,760 Speaker 11: into its browser, and of course just preloading on Samsung devices. Generally, 400 00:20:15,800 --> 00:20:18,040 Speaker 11: if you're Google right now, I think if they're setting 401 00:20:18,080 --> 00:20:20,120 Speaker 11: up a little bit straighter right now, there's a big 402 00:20:20,160 --> 00:20:23,639 Speaker 11: difference between being preloaded and the default service, which is 403 00:20:23,680 --> 00:20:26,439 Speaker 11: what Google has paid for for years and quite expensively. 404 00:20:26,520 --> 00:20:29,040 Speaker 11: But this is a step in that direction, and given 405 00:20:29,040 --> 00:20:30,840 Speaker 11: the anti trust scrutiny on Google, I would be a 406 00:20:30,840 --> 00:20:31,680 Speaker 11: little bit concerned. 407 00:20:31,800 --> 00:20:34,320 Speaker 3: I mean, of course that anti trust discussion of what 408 00:20:35,000 --> 00:20:37,520 Speaker 3: ultimately might be the policies they have to enact to 409 00:20:38,160 --> 00:20:39,080 Speaker 3: appease the judge. 410 00:20:39,119 --> 00:20:40,640 Speaker 2: I mean that wrapped up on Friday. 411 00:20:40,760 --> 00:20:43,680 Speaker 3: Analysts are deeply concerned about what all of this means 412 00:20:43,720 --> 00:20:47,520 Speaker 3: for alphabet How much does this also depend on Perplexity 413 00:20:47,520 --> 00:20:49,120 Speaker 3: getting some money from Samsung. 414 00:20:49,280 --> 00:20:51,399 Speaker 11: Yeah, I think that's part of the broader tie up here. 415 00:20:51,440 --> 00:20:53,800 Speaker 11: So we have previously reported that Perplexity is close to 416 00:20:53,880 --> 00:20:56,200 Speaker 11: raising about five hundred million dollars like a fourteen billion 417 00:20:56,200 --> 00:20:59,160 Speaker 11: dollar valuation. Samsung could be one of the larger investors 418 00:20:59,160 --> 00:21:01,080 Speaker 11: in that deal, and that strikes as part of a 419 00:21:01,160 --> 00:21:03,200 Speaker 11: much larger tie up between these two companies. 420 00:21:03,200 --> 00:21:05,960 Speaker 3: How does that fourteen billion dollars stack up? Because like 421 00:21:06,000 --> 00:21:07,760 Speaker 3: we've become some numb to these. 422 00:21:07,520 --> 00:21:09,800 Speaker 2: Figures because it's the enormous over to open hahard. 423 00:21:10,080 --> 00:21:12,240 Speaker 11: It's one of the largest AI players out there right now, 424 00:21:12,280 --> 00:21:14,520 Speaker 11: but it's still this is a really competitive environment. Not 425 00:21:14,520 --> 00:21:16,240 Speaker 11: only are they going up against Google, but going up 426 00:21:16,280 --> 00:21:18,320 Speaker 11: against open ai and others who are moving into real 427 00:21:18,359 --> 00:21:21,600 Speaker 11: time search but being more deeply intrigated into devices than 428 00:21:21,600 --> 00:21:23,480 Speaker 11: millions of people use. That is a really big leg 429 00:21:23,560 --> 00:21:24,160 Speaker 11: up in that race. 430 00:21:24,320 --> 00:21:26,159 Speaker 3: And people who loved Perplexity in many ways it is 431 00:21:26,200 --> 00:21:28,320 Speaker 3: one of the first that offered you where the information 432 00:21:28,480 --> 00:21:31,080 Speaker 3: was coming from but they've had their own copyright issues. 433 00:21:30,840 --> 00:21:31,840 Speaker 6: As well, Right, that's true. 434 00:21:31,880 --> 00:21:33,679 Speaker 11: I think Perplexity's main thing that was that they have 435 00:21:33,800 --> 00:21:35,560 Speaker 11: great design. You know, it's not so much that they 436 00:21:35,600 --> 00:21:37,520 Speaker 11: built a better model than Opennie are Google, but they 437 00:21:37,520 --> 00:21:39,560 Speaker 11: figure out how to package it in a really compelling way. 438 00:21:39,840 --> 00:21:42,159 Speaker 11: That seems to be drawing fans not just from consumers 439 00:21:42,160 --> 00:21:43,440 Speaker 11: but from the hardware companies. 440 00:21:43,800 --> 00:21:45,160 Speaker 2: How soon could this all be announced? 441 00:21:45,200 --> 00:21:46,560 Speaker 11: As soon as this year for devices? 442 00:21:46,560 --> 00:21:47,440 Speaker 6: Maybe into next year? 443 00:21:47,880 --> 00:21:50,040 Speaker 2: Okay, we'll keep an eye out for the unfolding events. 444 00:21:50,080 --> 00:22:00,280 Speaker 3: Seth Nigaman, We appreciate it. Welcome back to BlueBag Technology 445 00:22:00,359 --> 00:22:02,520 Speaker 3: and Karen Hydeer New York. A quick check on these markets, 446 00:22:02,560 --> 00:22:05,520 Speaker 3: because boy May was Estella month for the NASTAG. 447 00:22:05,720 --> 00:22:08,880 Speaker 2: Today we bounce off of our lows, but the anxiety remains. 448 00:22:09,280 --> 00:22:11,360 Speaker 2: What about the pulling back from. 449 00:22:11,320 --> 00:22:13,720 Speaker 3: China and the US in terms of those tentative agreements 450 00:22:13,800 --> 00:22:16,600 Speaker 3: made in Switzerland, The progress seems to be on the line. 451 00:22:16,640 --> 00:22:18,640 Speaker 3: Many are worrying about that at the moment. Dig into 452 00:22:18,680 --> 00:22:20,399 Speaker 3: some of the names. I want to shine light on 453 00:22:20,400 --> 00:22:22,560 Speaker 3: one Chinese EV player. Of course, we've got to keep 454 00:22:22,560 --> 00:22:26,120 Speaker 3: an iron byd It's depository receipts doing better than they 455 00:22:26,119 --> 00:22:28,800 Speaker 3: did trade in Hong Kong at least, but under pressure 456 00:22:28,880 --> 00:22:31,719 Speaker 3: is indeed, the Chinese government tries to hint at byd 457 00:22:31,840 --> 00:22:35,160 Speaker 3: that you're competing too hard in our country, you're racing 458 00:22:35,200 --> 00:22:37,399 Speaker 3: to the border in bottom in terms of price, or 459 00:22:37,440 --> 00:22:38,399 Speaker 3: to boost your numbers. 460 00:22:38,600 --> 00:22:40,240 Speaker 2: Will they pull back a little bit from that? 461 00:22:40,320 --> 00:22:43,119 Speaker 3: But Tesla of by three percent, this is the numbers 462 00:22:43,119 --> 00:22:46,280 Speaker 3: are woeful for sales in May. In France they're done 463 00:22:46,359 --> 00:22:48,919 Speaker 3: sixty seven percent, just seven hundred and twenty. 464 00:22:48,640 --> 00:22:51,000 Speaker 2: One cars in the whole of France. 465 00:22:51,359 --> 00:22:54,479 Speaker 3: All of this comes though, as Elon Musk officially departs 466 00:22:54,480 --> 00:22:56,920 Speaker 3: the White House after running those over there, at least 467 00:22:56,960 --> 00:22:59,440 Speaker 3: as many would say he was running it where Bush Securities, 468 00:22:59,480 --> 00:23:01,919 Speaker 3: managing direct to Dan I is writing this weekend that 469 00:23:02,040 --> 00:23:05,200 Speaker 3: this is quote music to the ears of Tesla shareholders. 470 00:23:05,359 --> 00:23:08,800 Speaker 3: With a crucial few months ahead, Dan Eyes joins us now, 471 00:23:08,840 --> 00:23:12,680 Speaker 3: and boy, those French numbers really show what the crucial 472 00:23:12,720 --> 00:23:13,520 Speaker 3: few months mean. 473 00:23:13,760 --> 00:23:16,240 Speaker 2: Can Elon steer this the other way? 474 00:23:17,320 --> 00:23:17,639 Speaker 10: Okay? 475 00:23:17,640 --> 00:23:21,280 Speaker 8: I mean, obviously the leader's back, right, I mean, Musk 476 00:23:21,400 --> 00:23:24,200 Speaker 8: is Tesla Tesla's Musk. But I believe it's really about 477 00:23:24,240 --> 00:23:27,560 Speaker 8: autonomous and I think as we go into Austin in June, 478 00:23:28,119 --> 00:23:30,320 Speaker 8: you go into the robotics future, that's going to be 479 00:23:30,520 --> 00:23:32,600 Speaker 8: keep part of the value of Tesla's how we get 480 00:23:32,600 --> 00:23:33,240 Speaker 8: to a two. 481 00:23:33,080 --> 00:23:37,040 Speaker 10: Trillion dollar valuation. But and you'll quit Europe. 482 00:23:37,080 --> 00:23:39,600 Speaker 8: You look at us Juku at China and I think 483 00:23:39,680 --> 00:23:41,719 Speaker 8: Musk is going to start to turn that around. 484 00:23:41,760 --> 00:23:44,760 Speaker 10: And I think that's where investors are starting to factor 485 00:23:44,840 --> 00:23:45,119 Speaker 10: in you. 486 00:23:45,160 --> 00:23:47,400 Speaker 8: And I'm gonna say, what's happened next month or two, 487 00:23:47,880 --> 00:23:49,800 Speaker 8: But a rebound second half of the year. 488 00:23:49,800 --> 00:23:53,600 Speaker 3: Okay, so stomach for the near term. These probably remaining 489 00:23:53,720 --> 00:23:57,320 Speaker 3: poor numbers. The new refreshed model. Why isn't cutting it? 490 00:23:57,320 --> 00:24:00,000 Speaker 3: It seems it is more the political backlash. But you say, 491 00:24:00,160 --> 00:24:04,159 Speaker 3: ultimately the technology is going to outweigh a brand issue 492 00:24:04,160 --> 00:24:04,680 Speaker 3: that they've had. 493 00:24:05,320 --> 00:24:07,159 Speaker 8: Yeah, I mean, look me, and you've talked about it before. 494 00:24:07,359 --> 00:24:11,400 Speaker 8: I believe ninety percent of the future value is autonomous 495 00:24:11,440 --> 00:24:15,479 Speaker 8: and robotics. BI look in terms of margins delivery growth, 496 00:24:15,520 --> 00:24:18,720 Speaker 8: that's obviously very important to near turn numbers, but I 497 00:24:18,800 --> 00:24:21,359 Speaker 8: do believe streets factoring, and you start to see a 498 00:24:21,400 --> 00:24:25,480 Speaker 8: rebound second half of the year, you ever recommitted mass. 499 00:24:25,359 --> 00:24:28,880 Speaker 10: Queerly and I think when you look to the future, I. 500 00:24:28,840 --> 00:24:32,000 Speaker 8: Mean this long with Nvidio, I believe the most disruptive 501 00:24:32,080 --> 00:24:35,520 Speaker 8: technology companies in the world. And then who's driving the 502 00:24:35,560 --> 00:24:37,520 Speaker 8: software piece of course it's pound tier. 503 00:24:38,240 --> 00:24:42,080 Speaker 3: But why is Tesla clearly going to be such a 504 00:24:42,200 --> 00:24:45,720 Speaker 3: leadership in autonomous when Weimo is already busy doing it 505 00:24:45,760 --> 00:24:48,520 Speaker 3: And there is a different difference in the technology here 506 00:24:48,560 --> 00:24:50,520 Speaker 3: with Weimo going all in on lidar and a very 507 00:24:50,520 --> 00:24:52,679 Speaker 3: different tactic coming from elon Musk and Tesla. 508 00:24:53,520 --> 00:24:56,200 Speaker 10: Yeah, look, Willim will clearly head start. I think Wimo 509 00:24:56,280 --> 00:24:57,040 Speaker 10: they're going to be at the. 510 00:24:57,000 --> 00:25:00,720 Speaker 8: Kids table relatively Cassela in the com years because of 511 00:25:00,800 --> 00:25:02,560 Speaker 8: the scale and scope. 512 00:25:02,119 --> 00:25:05,640 Speaker 10: Waymos in four cities, two hundred thirty thousand hour cars. 513 00:25:05,680 --> 00:25:07,840 Speaker 8: Like in other words, when I work out over the 514 00:25:07,960 --> 00:25:11,680 Speaker 8: coming years, I think you, look, this is going to 515 00:25:11,760 --> 00:25:14,640 Speaker 8: be dominated by Tesla in terms of cyber cabs. 516 00:25:14,800 --> 00:25:15,880 Speaker 10: It all starts. 517 00:25:15,600 --> 00:25:18,359 Speaker 8: Obviously in the next few weeks in Austin, but no 518 00:25:18,440 --> 00:25:22,040 Speaker 8: one will match the global scale and scope of Musk 519 00:25:22,119 --> 00:25:23,000 Speaker 8: and Tesla. 520 00:25:23,080 --> 00:25:26,000 Speaker 3: So what milestones in Austin, for example, do they need 521 00:25:26,000 --> 00:25:28,440 Speaker 3: to meet? Ed Ludlow with that great reporting out last 522 00:25:28,480 --> 00:25:30,240 Speaker 3: week that June twelfth is going to be the date 523 00:25:30,280 --> 00:25:34,360 Speaker 3: we're anticipating for it to already make actionable what they've 524 00:25:34,359 --> 00:25:37,239 Speaker 3: been trialing on the roads thus far. What do they 525 00:25:37,280 --> 00:25:38,800 Speaker 3: need to meet, how do they need to show off 526 00:25:38,800 --> 00:25:40,520 Speaker 3: in the technology to work? 527 00:25:41,080 --> 00:25:43,800 Speaker 8: Look the interventions, right, I mean, just showing that this 528 00:25:43,880 --> 00:25:47,399 Speaker 8: is something that is ready for prime time, because this 529 00:25:47,560 --> 00:25:51,040 Speaker 8: is just the beginning of ultimately going to be fifteen 530 00:25:51,040 --> 00:25:54,560 Speaker 8: to twenty twenty five cities over the next year. And 531 00:25:54,600 --> 00:25:56,679 Speaker 8: I think this is just really kind of way in 532 00:25:56,720 --> 00:26:00,720 Speaker 8: the ground from technology perspective, showing where a Tesla is 533 00:26:00,760 --> 00:26:02,760 Speaker 8: going to get to them when I believe, look, Weimo 534 00:26:03,440 --> 00:26:05,520 Speaker 8: is going to be successful and that's going to be 535 00:26:05,560 --> 00:26:08,119 Speaker 8: a key sort of player. But in terms of the 536 00:26:08,160 --> 00:26:11,600 Speaker 8: global vision, who's really going to dominate? I believe it's 537 00:26:11,680 --> 00:26:13,680 Speaker 8: Tesla and autonomous. 538 00:26:12,960 --> 00:26:15,080 Speaker 2: And is it a cybercab that dominates? 539 00:26:15,160 --> 00:26:16,880 Speaker 3: Is it the fact that the Tesla's are already out 540 00:26:16,880 --> 00:26:19,120 Speaker 3: on the road and they become the autonomous vehicles they 541 00:26:19,119 --> 00:26:21,680 Speaker 3: are the ones that we don't use ourselves but lend 542 00:26:21,680 --> 00:26:23,040 Speaker 3: out to the ecosystem. 543 00:26:23,400 --> 00:26:25,600 Speaker 10: Well, yeah, I mean it's first of all, it's data driven. 544 00:26:25,680 --> 00:26:27,040 Speaker 10: I mean, by next sure you have ten. 545 00:26:26,920 --> 00:26:29,520 Speaker 8: Million vehicles, you know, in terms of teslas that have 546 00:26:29,560 --> 00:26:33,879 Speaker 8: been sold data driven, and but I do believe cybercabs 547 00:26:34,080 --> 00:26:36,520 Speaker 8: when you think about the autonomous piece, that's going to 548 00:26:36,560 --> 00:26:38,040 Speaker 8: be so important. 549 00:26:38,280 --> 00:26:39,840 Speaker 10: But then also it's about FSD. 550 00:26:40,160 --> 00:26:43,800 Speaker 8: I mean FSD penetration could go from fifteen percent to 551 00:26:43,880 --> 00:26:47,680 Speaker 8: fifty percent. Think about the margin, the software, the uplift 552 00:26:47,680 --> 00:26:49,480 Speaker 8: that that's going to lead to test and that's why 553 00:26:49,480 --> 00:26:53,480 Speaker 8: I believe they are going into their biggest chapter of growth. 554 00:26:53,520 --> 00:26:54,760 Speaker 10: And that's why also it's just. 555 00:26:54,680 --> 00:26:58,200 Speaker 8: So important that must laser focus on Tesla on those 556 00:26:58,280 --> 00:27:01,320 Speaker 8: days in Trump White House hour rearview mirror. 557 00:27:01,240 --> 00:27:03,960 Speaker 3: And you think he will be laser focused on Tesla 558 00:27:04,119 --> 00:27:06,480 Speaker 3: because he's also saying I've got to be laser focused 559 00:27:06,520 --> 00:27:09,600 Speaker 3: on X. He's also remaining very committed and focused on 560 00:27:09,680 --> 00:27:12,399 Speaker 3: SpaceX as well, and not to mention the XAI getting 561 00:27:12,400 --> 00:27:13,639 Speaker 3: woven into X at the moment. 562 00:27:14,440 --> 00:27:18,119 Speaker 8: Look, it's all part of it, obviously, the broader mask ecosystem, 563 00:27:18,200 --> 00:27:21,560 Speaker 8: but the hearts and lungs, the golden goose continues to 564 00:27:21,560 --> 00:27:25,399 Speaker 8: be Tesla, and I think must recognize is now is 565 00:27:25,480 --> 00:27:31,000 Speaker 8: the time, especially given autonomous and robiotics without actually with optimists. 566 00:27:31,760 --> 00:27:34,439 Speaker 3: Tell us the two trillion dollar valuation and how you 567 00:27:34,560 --> 00:27:35,320 Speaker 3: actually got there. 568 00:27:35,320 --> 00:27:36,960 Speaker 2: From a number's perspective. 569 00:27:37,320 --> 00:27:39,640 Speaker 8: Look when I look at when I look at autonomous 570 00:27:39,680 --> 00:27:42,280 Speaker 8: and you start to model out what could maybe twenty 571 00:27:42,320 --> 00:27:47,080 Speaker 8: percent of vehicles being autonomous, you're essentially looking three four 572 00:27:47,119 --> 00:27:49,320 Speaker 8: hours of earnings eventually is going to be thirteen to 573 00:27:49,400 --> 00:27:53,600 Speaker 8: fifteen hours earnings. So the whole math of the Tesla 574 00:27:53,680 --> 00:27:56,040 Speaker 8: valuation is going to drastically change. 575 00:27:56,320 --> 00:27:59,200 Speaker 10: And that's all about, like I believe, from an AI. 576 00:27:59,000 --> 00:28:02,919 Speaker 8: Perspective, one of probably the most undervalued pure players in 577 00:28:02,920 --> 00:28:04,040 Speaker 8: the market is Tesla. 578 00:28:04,520 --> 00:28:06,280 Speaker 10: Now, of course Nvidia, poun Teer. 579 00:28:06,440 --> 00:28:09,440 Speaker 8: You know how the hyperscalers, Microsoft and others continue to 580 00:28:09,520 --> 00:28:10,200 Speaker 8: front and center. 581 00:28:10,280 --> 00:28:12,480 Speaker 10: But you know, Tesla more and more is going to 582 00:28:12,640 --> 00:28:14,960 Speaker 10: prove that when you especially in. 583 00:28:14,920 --> 00:28:18,760 Speaker 8: The physical AI play in terms of our time as robotics, 584 00:28:19,320 --> 00:28:20,480 Speaker 8: they're gonna be front and center. 585 00:28:20,880 --> 00:28:23,880 Speaker 3: At the moment, it's a one trillion dollar market capitalization, 586 00:28:24,240 --> 00:28:27,440 Speaker 3: How quickly does this two trillion become a reality? 587 00:28:28,160 --> 00:28:30,600 Speaker 10: I think next twelve to eighteen months, and I look 588 00:28:30,640 --> 00:28:31,119 Speaker 10: and I think. 589 00:28:31,000 --> 00:28:32,920 Speaker 2: That's going to double in that amount of time. 590 00:28:33,680 --> 00:28:36,200 Speaker 8: That's our view, and I think it could be conservative 591 00:28:36,400 --> 00:28:39,680 Speaker 8: relative to as is all plays out, because I think 592 00:28:40,040 --> 00:28:45,120 Speaker 8: again again, Musk and Tesla underestimated. Next week you're buying 593 00:28:45,240 --> 00:28:47,560 Speaker 8: you know called you know, wait next week and when 594 00:28:47,640 --> 00:28:50,680 Speaker 8: this actually the vision starts, it's going. 595 00:28:50,600 --> 00:28:53,360 Speaker 10: To kick off. I think it's the golden age at Tesla. 596 00:28:54,000 --> 00:28:57,040 Speaker 3: You are the highest price target five hundred, few bone 597 00:28:57,080 --> 00:28:59,840 Speaker 3: securities below you four seventy, but the price targets go 598 00:28:59,840 --> 00:29:02,120 Speaker 3: all all the way down to just I mean JP 599 00:29:02,200 --> 00:29:06,120 Speaker 3: Morgan on one hundred and fifteen. So from what is 600 00:29:06,160 --> 00:29:09,200 Speaker 3: it that others aren't getting here? Is it just the 601 00:29:09,240 --> 00:29:12,400 Speaker 3: scale of the ambition, is it the execution? What is 602 00:29:12,440 --> 00:29:15,080 Speaker 3: it when you're sitting around the table with other analysts 603 00:29:15,120 --> 00:29:17,120 Speaker 3: and they're like no, Dan, and you're like no. 604 00:29:17,160 --> 00:29:19,880 Speaker 10: Yes, well yeah, I mean to that point. 605 00:29:20,120 --> 00:29:22,920 Speaker 8: I mean if you go back over the last five, seven, 606 00:29:23,040 --> 00:29:26,480 Speaker 8: eight years and the Neva underestimated tassa musk every time, right, 607 00:29:27,000 --> 00:29:29,400 Speaker 8: So I mean many thought that the chance of them 608 00:29:29,440 --> 00:29:32,400 Speaker 8: actually coming out with an EV was unrealistic, the chance 609 00:29:32,440 --> 00:29:35,400 Speaker 8: of them scaling to over a million vehicles, so we're 610 00:29:35,440 --> 00:29:38,160 Speaker 8: just again again. I think they continue to view this 611 00:29:38,680 --> 00:29:42,760 Speaker 8: as an automobile company. It's a disruptive technology player, one 612 00:29:42,800 --> 00:29:45,320 Speaker 8: of the best in the world along with Nvidian. 613 00:29:45,400 --> 00:29:46,280 Speaker 10: Of course, Pound. 614 00:29:46,120 --> 00:29:52,280 Speaker 3: Tier Therefore we're looking forward to the global story here. 615 00:29:52,240 --> 00:29:54,160 Speaker 2: Does this have to be executed in the US? 616 00:29:54,240 --> 00:29:56,040 Speaker 3: What about over in China at the moment where we're 617 00:29:56,080 --> 00:29:59,040 Speaker 3: just seeing the level of price competition and indeed the 618 00:29:59,080 --> 00:30:03,160 Speaker 3: commitment that we're starting see from BYD also into autonomous. 619 00:30:03,280 --> 00:30:04,720 Speaker 10: Look, China is a key market. 620 00:30:04,720 --> 00:30:07,080 Speaker 8: I mean, you're over forty percent of deliveries that come 621 00:30:07,120 --> 00:30:09,560 Speaker 8: out of trying to keep up from a supply perspective. 622 00:30:10,080 --> 00:30:11,920 Speaker 10: But it's also why too, It's it's. 623 00:30:11,800 --> 00:30:14,360 Speaker 8: Important more and more must that he distanced himself in 624 00:30:14,440 --> 00:30:17,760 Speaker 8: terms of from Trump White House. Now start to play 625 00:30:17,760 --> 00:30:20,360 Speaker 8: that ten percent politician ninety percent CEO. 626 00:30:20,560 --> 00:30:22,920 Speaker 10: You know what we see from Apple China is. 627 00:30:23,000 --> 00:30:26,360 Speaker 8: Key and I think we're going to continue to see 628 00:30:26,400 --> 00:30:29,680 Speaker 8: now rebound China and Autonomous Test is going to be 629 00:30:29,680 --> 00:30:32,400 Speaker 8: a major player in that market along with BYD and others. 630 00:30:32,600 --> 00:30:35,960 Speaker 3: And then let's talk robotics, because I'm hearing more and 631 00:30:36,040 --> 00:30:38,200 Speaker 3: more about how robotics is going to be the next 632 00:30:38,240 --> 00:30:41,480 Speaker 3: area of key growth. How quickly does the optimist become 633 00:30:41,720 --> 00:30:42,960 Speaker 3: the two trellion dollar driver. 634 00:30:43,920 --> 00:30:46,360 Speaker 8: And remember we're not even really factoring that in so 635 00:30:46,480 --> 00:30:48,719 Speaker 8: it speaks to our view like when you look at 636 00:30:48,760 --> 00:30:52,720 Speaker 8: optimists and as that plays out, robotics potential could even be. 637 00:30:52,680 --> 00:30:54,400 Speaker 10: Bigger than autonomous And. 638 00:30:54,320 --> 00:30:57,040 Speaker 8: I think when it comes to physical AI, it's Tesla 639 00:30:57,080 --> 00:30:59,280 Speaker 8: and a Video that are leading that. And I think 640 00:30:59,360 --> 00:31:01,840 Speaker 8: is that all this is going to get in the 641 00:31:01,880 --> 00:31:04,880 Speaker 8: next twelve, eighteen, twenty four months. 642 00:31:05,360 --> 00:31:06,720 Speaker 10: It's the reality, right. 643 00:31:06,880 --> 00:31:09,360 Speaker 8: The scale and scope is something that tests has a 644 00:31:09,440 --> 00:31:12,560 Speaker 8: huge advantage of. And that's why I think optimist is 645 00:31:12,560 --> 00:31:16,840 Speaker 8: something that again I think investors Wall Street massively underestimating, 646 00:31:17,440 --> 00:31:18,880 Speaker 8: but they will be proven wrong. 647 00:31:19,200 --> 00:31:21,960 Speaker 10: I think as this all plays out, how much. 648 00:31:21,920 --> 00:31:24,920 Speaker 3: Is supply chain going to be a bottleneck kit because 649 00:31:24,920 --> 00:31:26,840 Speaker 3: we keep talking time and time again about the rare 650 00:31:26,880 --> 00:31:29,280 Speaker 3: earth control that China has. I mean, the fact that 651 00:31:29,280 --> 00:31:32,560 Speaker 3: Tesla is so present in China from a supply side perspective, 652 00:31:32,600 --> 00:31:33,880 Speaker 3: is that a winning formula? 653 00:31:34,040 --> 00:31:34,200 Speaker 10: Oh? 654 00:31:34,200 --> 00:31:36,040 Speaker 8: With that, I mean used now that I think that's 655 00:31:36,080 --> 00:31:39,240 Speaker 8: the key, right, Like having such a big presence, and 656 00:31:39,360 --> 00:31:42,719 Speaker 8: of course Musk has very good relationship in Beijing, you know, 657 00:31:43,120 --> 00:31:46,280 Speaker 8: in terms of their footprint, that is very important. 658 00:31:46,360 --> 00:31:48,120 Speaker 10: It gives them a huge advantage. 659 00:31:48,280 --> 00:31:50,720 Speaker 8: And also I think it speaks to the timing, especially 660 00:31:50,760 --> 00:31:54,600 Speaker 8: in this US China negotiations to further and further must 661 00:31:54,680 --> 00:31:57,280 Speaker 8: distance themselves from Trump in the White House. I think 662 00:31:57,360 --> 00:32:00,400 Speaker 8: is important, especially when it plays to what's happened China. 663 00:32:01,080 --> 00:32:03,480 Speaker 3: I'm going to end on Apple because you were just 664 00:32:03,520 --> 00:32:06,680 Speaker 3: talking about other companies that have been owning the space 665 00:32:06,720 --> 00:32:09,320 Speaker 3: Palanteer of course being one that you keep mentioning within software. 666 00:32:09,360 --> 00:32:10,840 Speaker 2: But what about the future of. 667 00:32:10,760 --> 00:32:13,360 Speaker 3: Apple right now from a supply chain perspective, from a 668 00:32:13,360 --> 00:32:16,800 Speaker 3: geopolitical perspective, because it seems as though, well Tim Cook 669 00:32:16,840 --> 00:32:19,200 Speaker 3: needs to be a little bit more politician right now too. 670 00:32:20,040 --> 00:32:22,440 Speaker 8: Yeah, I think there's no better CEO in the world 671 00:32:22,520 --> 00:32:23,560 Speaker 8: that can navigate it. 672 00:32:23,920 --> 00:32:26,200 Speaker 2: He's not gone very well so far, I see. 673 00:32:26,200 --> 00:32:29,680 Speaker 8: I would disagree to the point that he's been able 674 00:32:29,720 --> 00:32:32,760 Speaker 8: to navigate to India, which is an actually huge. 675 00:32:32,520 --> 00:32:34,160 Speaker 10: Part of the pokem. We puts him in a lot 676 00:32:34,160 --> 00:32:36,000 Speaker 10: there and negotiating position. 677 00:32:36,360 --> 00:32:38,960 Speaker 8: And also like, look, the chances of iPhones coming to 678 00:32:39,000 --> 00:32:41,560 Speaker 8: the US, we continue to us unrealistic. In last you 679 00:32:41,600 --> 00:32:44,840 Speaker 8: want have thirty five hundred our iPhone and Cook's another one, 680 00:32:44,880 --> 00:32:46,520 Speaker 8: Like there's an understanding. 681 00:32:46,560 --> 00:32:48,520 Speaker 10: Okay, they might have been laid to the game, but. 682 00:32:48,480 --> 00:32:51,560 Speaker 8: The consumer AI revolution comes to Cooper Tino. 683 00:32:52,000 --> 00:32:54,320 Speaker 10: You'll start to see that next Week WWDC. 684 00:32:54,440 --> 00:32:57,160 Speaker 8: I view that as a very important event that starts 685 00:32:57,160 --> 00:32:58,000 Speaker 8: this next chapter. 686 00:32:58,680 --> 00:33:01,520 Speaker 3: Dan, I've of webush some of the biggest price targets 687 00:33:01,560 --> 00:33:02,760 Speaker 3: out there, for Tesla and for Apple. 688 00:33:02,760 --> 00:33:04,680 Speaker 2: It's always great to have you on the show. Thank 689 00:33:04,720 --> 00:33:05,320 Speaker 2: you very much. 690 00:33:05,560 --> 00:33:09,120 Speaker 3: Coming up, tech has become a major economic driver for 691 00:33:09,240 --> 00:33:11,800 Speaker 3: New York's economy, and a new campaign is. 692 00:33:11,800 --> 00:33:12,720 Speaker 2: Celebrating just that. 693 00:33:12,960 --> 00:33:15,280 Speaker 3: We'll have more on the industry's impact and what's expected 694 00:33:15,320 --> 00:33:18,160 Speaker 3: from New York Tech Week as a bluembag Technology. 695 00:33:28,200 --> 00:33:29,240 Speaker 2: Time Now for Talking Tech. 696 00:33:29,280 --> 00:33:31,800 Speaker 3: First up Byron Allen, while he's hired Molist to find 697 00:33:31,840 --> 00:33:35,160 Speaker 3: buyers for twenty eight local TV stations his company owns 698 00:33:35,320 --> 00:33:37,760 Speaker 3: now this comes as an effort to reduce debt is 699 00:33:37,800 --> 00:33:40,680 Speaker 3: coming on while taking advantage of potential deregulation in the 700 00:33:40,720 --> 00:33:44,520 Speaker 3: broadcast business. In a statement, Alan said, we have received 701 00:33:44,560 --> 00:33:47,320 Speaker 3: numerous inquiries. We are going to use this opportunity to 702 00:33:47,360 --> 00:33:50,600 Speaker 3: take a serious look at the office. Plus, Meta is 703 00:33:50,600 --> 00:33:53,360 Speaker 3: bending on automation for the future of ads. The social 704 00:33:53,360 --> 00:33:56,040 Speaker 3: media company aims to enable brands to fully create in 705 00:33:56,120 --> 00:33:58,840 Speaker 3: target ads using AI by the end of next year. 706 00:33:58,920 --> 00:34:01,080 Speaker 3: Now that's calling to the Wall Street Journal, citing sources 707 00:34:01,280 --> 00:34:04,040 Speaker 3: meant as ad platform already offers some AI tools that 708 00:34:04,120 --> 00:34:08,600 Speaker 3: can generate variations of existing apps and a bridge AI. 709 00:34:08,920 --> 00:34:12,279 Speaker 3: A startup that uses artificial intelligence to transcribe medical conversations, 710 00:34:12,400 --> 00:34:14,200 Speaker 3: is raising three hundred million dollars in a new funding 711 00:34:14,239 --> 00:34:16,560 Speaker 3: round led by Andrews and Horowitz so All, according to 712 00:34:16,600 --> 00:34:18,919 Speaker 3: sources who say that the round values of Pittsburgh based 713 00:34:19,000 --> 00:34:22,920 Speaker 3: company are five point three billion including the investments. But 714 00:34:23,000 --> 00:34:25,399 Speaker 3: now let's bring it to New York. New York Tech 715 00:34:25,440 --> 00:34:27,759 Speaker 3: Week kicks off to day the city. It's meant the 716 00:34:27,800 --> 00:34:30,279 Speaker 3: fashion and finance and it's seen a tech boom though 717 00:34:30,320 --> 00:34:32,920 Speaker 3: over the past decade, the sector actually made forty one 718 00:34:32,960 --> 00:34:35,640 Speaker 3: percent of the city's net job growth since twenty nineteen. 719 00:34:35,960 --> 00:34:39,400 Speaker 3: Judy Samuels is presidentcy of Tech NYC is a nonprofit. 720 00:34:39,600 --> 00:34:41,520 Speaker 3: You promote the sector in the city, and you have 721 00:34:41,600 --> 00:34:44,040 Speaker 3: got a rather coore new campaign we do. 722 00:34:44,160 --> 00:34:45,439 Speaker 6: We're so excited about it. 723 00:34:45,719 --> 00:34:48,200 Speaker 12: We're launching today with support from New York City and 724 00:34:48,200 --> 00:34:51,160 Speaker 12: in partnership with Red Antler, a campaign called Obviously New 725 00:34:51,239 --> 00:34:53,640 Speaker 12: York And it's really just a moment to celebrate the 726 00:34:53,760 --> 00:34:57,640 Speaker 12: amazing growth of the tech industry here to really highlight 727 00:34:57,640 --> 00:34:59,520 Speaker 12: all the things that we think are just so going 728 00:34:59,560 --> 00:35:00,640 Speaker 12: so well in New York. 729 00:35:00,719 --> 00:35:04,120 Speaker 3: Right now, give us the obvious statistics, give us the 730 00:35:04,200 --> 00:35:07,399 Speaker 3: obvious statements of thought that make New York number two 731 00:35:07,520 --> 00:35:08,399 Speaker 3: tech sector in the world. 732 00:35:08,600 --> 00:35:10,200 Speaker 12: I mean, listen, I have so many, but just some 733 00:35:10,320 --> 00:35:12,839 Speaker 12: that i'd highlight. I think that really underscore what makes 734 00:35:12,840 --> 00:35:15,120 Speaker 12: New York so amazing. New York is the number one 735 00:35:15,440 --> 00:35:17,840 Speaker 12: destination for college graduates. 736 00:35:18,560 --> 00:35:19,520 Speaker 6: The tech sector here. 737 00:35:19,400 --> 00:35:21,640 Speaker 12: In New York you talked about the forty one percent 738 00:35:21,680 --> 00:35:25,719 Speaker 12: figure is responsible for creates ten times the amount of 739 00:35:25,800 --> 00:35:29,120 Speaker 12: new jobs in our local economy than ten times. 740 00:35:28,880 --> 00:35:29,880 Speaker 6: More than other industries. 741 00:35:29,920 --> 00:35:32,759 Speaker 12: I find out that's right since the pandemic, since in 742 00:35:32,800 --> 00:35:35,120 Speaker 12: the past five years. But that speaks to the growth, 743 00:35:35,120 --> 00:35:37,600 Speaker 12: that speaks to the j curve that we're on here that. 744 00:35:37,600 --> 00:35:38,719 Speaker 6: I think is so important. 745 00:35:38,960 --> 00:35:41,800 Speaker 12: You know, it's a seven hundred billion dollar industry, twenty 746 00:35:41,800 --> 00:35:43,040 Speaker 12: five thousand startups. 747 00:35:43,120 --> 00:35:44,719 Speaker 6: It's just booming here. 748 00:35:44,760 --> 00:35:49,040 Speaker 12: And it's because, of course, you know, the New York 749 00:35:49,120 --> 00:35:53,080 Speaker 12: City is home to every industry, and increasingly technology is 750 00:35:53,200 --> 00:35:56,360 Speaker 12: just powering every other industry. And the thing that we 751 00:35:56,440 --> 00:35:59,080 Speaker 12: think is happening here that is unique to New York 752 00:35:59,640 --> 00:36:02,200 Speaker 12: is that as the technology, especially in this moment where 753 00:36:02,280 --> 00:36:04,879 Speaker 12: AI is just booming. You know, all the your entire 754 00:36:04,920 --> 00:36:09,000 Speaker 12: intros about all these companies just growing AI building AI. 755 00:36:09,239 --> 00:36:13,120 Speaker 12: As the new technology evolves, what happens uniquely here in 756 00:36:13,120 --> 00:36:16,120 Speaker 12: New York is companies figure out how to use it, 757 00:36:16,400 --> 00:36:18,440 Speaker 12: who's going to pay for it, what it's going to 758 00:36:18,560 --> 00:36:20,360 Speaker 12: actually do in practice. 759 00:36:20,440 --> 00:36:21,840 Speaker 6: And that is the New York story. 760 00:36:22,239 --> 00:36:24,400 Speaker 3: So give us some pin ups when you think all 761 00:36:24,520 --> 00:36:27,040 Speaker 3: the icons of the New York's stought up scene. I 762 00:36:27,040 --> 00:36:30,240 Speaker 3: think cognition AI in many ways from the underlying really 763 00:36:30,360 --> 00:36:32,759 Speaker 3: leaps some vounds driving forward the technology when it comes 764 00:36:32,800 --> 00:36:33,280 Speaker 3: to coding. 765 00:36:33,520 --> 00:36:35,600 Speaker 2: But where else do we seeing success stories in the. 766 00:36:35,560 --> 00:36:36,719 Speaker 6: AI space in particular? 767 00:36:36,760 --> 00:36:39,440 Speaker 12: Of course, we've got Runway, which is just an amazing 768 00:36:39,440 --> 00:36:41,759 Speaker 12: New York story because it marries the creativity that is 769 00:36:41,800 --> 00:36:44,040 Speaker 12: inherent to so much that happens in New York City 770 00:36:44,080 --> 00:36:45,320 Speaker 12: and the AI side. 771 00:36:45,440 --> 00:36:47,000 Speaker 6: And it's beyond AI. 772 00:36:47,080 --> 00:36:49,240 Speaker 12: Of course, you've got Ramp, which is probably the fastest 773 00:36:49,239 --> 00:36:51,600 Speaker 12: growing startup in New York. That's in the fintech space. 774 00:36:51,760 --> 00:36:54,319 Speaker 12: We have a ton happening in digital health companies like 775 00:36:54,520 --> 00:36:56,520 Speaker 12: Maven and Row. I mean, the list goes on and on. 776 00:36:56,560 --> 00:36:58,880 Speaker 12: But again I would underscore that all of those companies 777 00:36:58,920 --> 00:37:02,560 Speaker 12: are for the most part, building in uniquely New York industries. 778 00:37:02,600 --> 00:37:03,919 Speaker 3: I love that you keep trying to do this tongue 779 00:37:03,920 --> 00:37:05,640 Speaker 3: twister again and again, and you're like nailing it. 780 00:37:05,719 --> 00:37:07,880 Speaker 6: I have a little bit of practice. I have a 781 00:37:07,920 --> 00:37:08,840 Speaker 6: little bit of practice. 782 00:37:09,080 --> 00:37:12,400 Speaker 3: But what about why the campaign around it, why this 783 00:37:12,480 --> 00:37:14,239 Speaker 3: moment a need to celebrate? 784 00:37:14,760 --> 00:37:16,879 Speaker 12: I think that Listen, there's a couple of things happening here, 785 00:37:17,440 --> 00:37:19,399 Speaker 12: and well, first of all, I just think people love 786 00:37:19,440 --> 00:37:21,640 Speaker 12: to have fun, people love. 787 00:37:21,480 --> 00:37:23,400 Speaker 6: To celebrate, and right now, New York. 788 00:37:23,280 --> 00:37:25,319 Speaker 12: Is just ascendant when it comes to tech, and we 789 00:37:25,360 --> 00:37:27,319 Speaker 12: wanted to kind of put a stamp on that. We 790 00:37:27,360 --> 00:37:29,839 Speaker 12: wanted to call it out. We wanted people here to 791 00:37:29,840 --> 00:37:31,719 Speaker 12: feel excited. And then we want to go on the 792 00:37:31,800 --> 00:37:35,160 Speaker 12: road and remind people just how great the New York 793 00:37:35,200 --> 00:37:36,160 Speaker 12: tech ecosystem is. 794 00:37:36,160 --> 00:37:36,960 Speaker 6: Because here's the thing. 795 00:37:38,000 --> 00:37:40,759 Speaker 12: When you meet young people, people of all ages, but 796 00:37:40,880 --> 00:37:43,960 Speaker 12: especially young people, they always want to live in New York, 797 00:37:44,000 --> 00:37:45,839 Speaker 12: and we need to remind them that you can come 798 00:37:45,840 --> 00:37:49,120 Speaker 12: here and build a really dynamic tech career doing that. 799 00:37:49,520 --> 00:37:53,600 Speaker 3: But when I think of the resurgence in San Francisco, 800 00:37:53,960 --> 00:37:57,200 Speaker 3: basically generative aice rebral valley, we've covered it time and 801 00:37:57,200 --> 00:38:01,040 Speaker 3: time again. Do we need to be either or is 802 00:38:01,040 --> 00:38:05,800 Speaker 3: it mutually beneficially seeing companies building talent systems in both places? 803 00:38:06,239 --> 00:38:07,920 Speaker 12: I think, listen, I think you want to see tech 804 00:38:08,000 --> 00:38:10,719 Speaker 12: building and growing the economy all over the country. I 805 00:38:10,760 --> 00:38:13,279 Speaker 12: think that's incredibly important. I like the way we do 806 00:38:13,320 --> 00:38:15,040 Speaker 12: it here in New York. That speaks to me, That's 807 00:38:15,040 --> 00:38:18,120 Speaker 12: why I'm here doing this job here. But I think 808 00:38:18,120 --> 00:38:21,279 Speaker 12: to your point, we want this to happen on both coasts. 809 00:38:21,320 --> 00:38:22,680 Speaker 12: We want this to happen in the middle of the 810 00:38:22,680 --> 00:38:25,319 Speaker 12: country as well. I think that's really important. And you know, 811 00:38:25,360 --> 00:38:27,960 Speaker 12: we talked about a lot of homegrown New York tech companies, 812 00:38:28,000 --> 00:38:31,359 Speaker 12: but open ai is also growing like crazy here and 813 00:38:31,360 --> 00:38:34,359 Speaker 12: in really iconic New York building downtown. They're taking more 814 00:38:34,400 --> 00:38:36,200 Speaker 12: and more space. So it's going to take all of 815 00:38:36,239 --> 00:38:37,399 Speaker 12: these pieces, all of this. 816 00:38:37,480 --> 00:38:41,080 Speaker 3: Input you want, like the quintessential public private partnership, because 817 00:38:41,080 --> 00:38:42,920 Speaker 3: you as a normal profit in the middle of bringing 818 00:38:43,520 --> 00:38:46,400 Speaker 3: leaders within some of the iconic New York tech sector 819 00:38:46,600 --> 00:38:49,320 Speaker 3: into help give advice to the public sector. 820 00:38:49,360 --> 00:38:51,240 Speaker 2: And it goes both ways. 821 00:38:51,520 --> 00:38:53,400 Speaker 3: What is it that the public sector is doing that 822 00:38:53,480 --> 00:38:54,799 Speaker 3: helps trikes a really good question. 823 00:38:54,880 --> 00:38:57,040 Speaker 12: So in this instance, The city is putting a significant 824 00:38:57,040 --> 00:38:58,920 Speaker 12: amount of money. It's I think four million dollars in 825 00:38:59,000 --> 00:39:02,799 Speaker 12: total behind help to bolster the AI ecosystem. Part of 826 00:39:02,800 --> 00:39:05,560 Speaker 12: that is helping support our campaign, but that's just a 827 00:39:05,560 --> 00:39:06,080 Speaker 12: small part. 828 00:39:06,080 --> 00:39:07,000 Speaker 6: They're doing a lot more. 829 00:39:07,040 --> 00:39:09,279 Speaker 12: They have an AI Nexus program that the city is 830 00:39:09,320 --> 00:39:11,399 Speaker 12: putting its money where its mouth is, and we think 831 00:39:11,400 --> 00:39:14,200 Speaker 12: that's really important. The state is also doing it's fair share. 832 00:39:14,239 --> 00:39:16,879 Speaker 12: We've got a great program here called Empire AI where 833 00:39:16,880 --> 00:39:22,120 Speaker 12: we're really empowering academic institutions, giving them access to just 834 00:39:22,200 --> 00:39:25,240 Speaker 12: the amazing quantity of compute that's incredibly hard for anyone 835 00:39:25,280 --> 00:39:27,919 Speaker 12: outside of the private sector to get. So the state 836 00:39:28,080 --> 00:39:30,919 Speaker 12: the city, especially in this instance, are really doubling down 837 00:39:30,960 --> 00:39:33,440 Speaker 12: to ensure that New York is a place where people 838 00:39:33,520 --> 00:39:36,080 Speaker 12: want to come to build and grow tech companies, but 839 00:39:36,160 --> 00:39:37,240 Speaker 12: also where. 840 00:39:37,120 --> 00:39:38,040 Speaker 6: People want to live. 841 00:39:38,640 --> 00:39:41,080 Speaker 3: I'm excited to see the statistics coming out for twenty 842 00:39:41,120 --> 00:39:44,400 Speaker 3: twenty five AI job posting surging twenty five thousand in 843 00:39:44,440 --> 00:39:47,600 Speaker 3: twenty twenty four New York. J. D. Samuels THEDEO President 844 00:39:47,640 --> 00:39:51,239 Speaker 3: of Tech NYC. Go enjoy tech Week. Meanwhile, let's talk 845 00:39:51,280 --> 00:39:54,000 Speaker 3: about China because Tom Cruise is Film is back On 846 00:39:54,120 --> 00:39:56,880 Speaker 3: top of that Mission Impossible, The Final Reckoning posted the 847 00:39:56,920 --> 00:39:59,640 Speaker 3: biggest opening for a US film in the country this 848 00:39:59,719 --> 00:40:02,560 Speaker 3: year and twenty five point two million dollars during its 849 00:40:02,600 --> 00:40:07,120 Speaker 3: opening weekend, defining trade geopolitical tensions between Washington and Beijing. 850 00:40:14,480 --> 00:40:15,600 Speaker 2: IPO activity. 851 00:40:15,800 --> 00:40:18,160 Speaker 3: In the tech space, it is heating up digital bunking 852 00:40:18,200 --> 00:40:22,560 Speaker 3: startup Chime crypto firms Circle both targeting strong offerings. Anthony 853 00:40:22,640 --> 00:40:24,520 Speaker 3: Hughes is there to break it all down, and the 854 00:40:24,560 --> 00:40:26,720 Speaker 3: way in which we see that there's strength is Circle 855 00:40:26,880 --> 00:40:29,160 Speaker 3: being able to sell more shares at a higher price point. 856 00:40:29,200 --> 00:40:31,879 Speaker 13: It seems yes, Circle seems to be going very well. 857 00:40:32,280 --> 00:40:35,040 Speaker 13: The IPO is pricing in the middle of this week, 858 00:40:35,080 --> 00:40:38,240 Speaker 13: so it actually launched last week. Since that happened, Bitcoin 859 00:40:38,280 --> 00:40:39,759 Speaker 13: did come off a bit, but there is certainly a 860 00:40:39,800 --> 00:40:43,759 Speaker 13: lot more enthusiasm towards cryptocurrency, of course, particularly in the 861 00:40:43,840 --> 00:40:46,040 Speaker 13: last month or so. We also saw coinbase come into 862 00:40:46,080 --> 00:40:49,879 Speaker 13: the the S and P five hundred last month, so 863 00:40:50,160 --> 00:40:53,200 Speaker 13: that has contributed to a lot of enthusiasm for that 864 00:40:54,480 --> 00:40:58,000 Speaker 13: company in particular, which is which is behind stable coins, 865 00:40:58,040 --> 00:41:02,480 Speaker 13: and it's a business that some people wondering where it 866 00:41:02,480 --> 00:41:04,120 Speaker 13: fits into the scheme of things, whether it's more of 867 00:41:04,160 --> 00:41:06,880 Speaker 13: like a payments company, and maybe it might deserve a 868 00:41:06,880 --> 00:41:09,120 Speaker 13: bit of a discount to a company like Coinbase, which 869 00:41:09,160 --> 00:41:12,160 Speaker 13: has become sort of the premiere sort of stock in 870 00:41:12,160 --> 00:41:16,040 Speaker 13: the crypto space, one of the premier stocks anyway. 871 00:41:16,200 --> 00:41:19,440 Speaker 3: Well, what's interesting is that Chime being very much sort 872 00:41:19,480 --> 00:41:22,600 Speaker 3: of a retail focused offering in the fintech space, is 873 00:41:22,640 --> 00:41:24,880 Speaker 3: it going to tap into retail demand. Is the institutional 874 00:41:24,920 --> 00:41:27,239 Speaker 3: demand that makes that also a success story when it 875 00:41:27,280 --> 00:41:28,360 Speaker 3: finally comes to the market. 876 00:41:28,840 --> 00:41:31,360 Speaker 13: Well, I think Chime has a really interesting retail story 877 00:41:31,400 --> 00:41:34,040 Speaker 13: because it's obviously appealed very much. It's got eight million customers, 878 00:41:34,080 --> 00:41:36,359 Speaker 13: and it sells a debit card and a credit card, 879 00:41:36,360 --> 00:41:38,800 Speaker 13: and it's been very popular with a certain sort of demographic, 880 00:41:38,800 --> 00:41:40,719 Speaker 13: a younger demographic. It actually reminds me a little bit 881 00:41:40,760 --> 00:41:43,480 Speaker 13: of the Robin Hood ipo from years ago, from a 882 00:41:43,480 --> 00:41:45,640 Speaker 13: few years back, where you know, there's this idea that 883 00:41:45,800 --> 00:41:50,160 Speaker 13: perhaps you have attracted a lot of customers, and maybe 884 00:41:50,640 --> 00:41:52,360 Speaker 13: it might not necessarily be easy to attract millions and 885 00:41:52,360 --> 00:41:54,600 Speaker 13: millions more really quickly like you have in the past. 886 00:41:54,960 --> 00:41:57,080 Speaker 13: But you know, when you have these younger customers, you 887 00:41:57,080 --> 00:41:59,320 Speaker 13: can grow with them and add on products and stuff 888 00:41:59,320 --> 00:42:01,480 Speaker 13: like that, so that'll be one of the real sort 889 00:42:01,520 --> 00:42:05,719 Speaker 13: of selling points I guess with the chaime IPO. But 890 00:42:06,000 --> 00:42:09,239 Speaker 13: the company does come at a significant down round or 891 00:42:09,440 --> 00:42:13,480 Speaker 13: lower evaluation than it was able to attract in twenty 892 00:42:13,520 --> 00:42:16,799 Speaker 13: twenty one, when we had very high valuations for all 893 00:42:16,840 --> 00:42:21,480 Speaker 13: sorts of tech companies, including fintech and this company, but 894 00:42:21,520 --> 00:42:23,680 Speaker 13: also software companies and the like. So we are in 895 00:42:23,680 --> 00:42:25,520 Speaker 13: a very different environment from twenty twenty one and we 896 00:42:25,560 --> 00:42:26,640 Speaker 13: have to take that into account. 897 00:42:26,840 --> 00:42:28,040 Speaker 2: Hinge Health had that as well. 898 00:42:28,080 --> 00:42:30,359 Speaker 3: Of course, I need to disclose that my husband does 899 00:42:30,400 --> 00:42:33,279 Speaker 3: indeed work over at coinbase as well. Anthony Hughes, thank 900 00:42:33,320 --> 00:42:34,880 Speaker 3: you very much indeed for joining us. Now that does 901 00:42:34,920 --> 00:42:37,400 Speaker 3: it for this edition of Bloombag Technology. Do not forget 902 00:42:37,440 --> 00:42:39,560 Speaker 3: to check out our podcast. Find it on the terminal 903 00:42:39,640 --> 00:42:42,400 Speaker 3: as well as online on Apple, Spotify, and iHeart This 904 00:42:42,480 --> 00:42:43,520 Speaker 3: is a blombag Technology