1 00:00:02,520 --> 00:00:07,040 Speaker 1: Bloomberg Audio Studios, podcasts, radio News. 2 00:00:11,000 --> 00:00:14,640 Speaker 2: Welcome to the Daybreak Asia podcast. I'm Doug Prisner. Let's 3 00:00:14,680 --> 00:00:17,960 Speaker 2: begin with tariffs. Late in the day in the States, 4 00:00:18,040 --> 00:00:20,880 Speaker 2: we had the US Trade Court dealing a major blow 5 00:00:20,920 --> 00:00:24,800 Speaker 2: to the Trump administration. It found the president's global tariffs 6 00:00:24,960 --> 00:00:28,960 Speaker 2: illegal and as a result, the court has blocked these levees. Now, 7 00:00:28,960 --> 00:00:31,000 Speaker 2: this ruling, to be fair, can be appealed by the 8 00:00:31,000 --> 00:00:34,800 Speaker 2: Trump administration in federal court. Today, a panel of three 9 00:00:34,920 --> 00:00:38,160 Speaker 2: judges at the US Court of International Trade in Manhattan 10 00:00:38,560 --> 00:00:42,880 Speaker 2: sided with Democratic led States and a group of small businesses. 11 00:00:43,280 --> 00:00:47,479 Speaker 2: They successfully argued that the Trump administration had wrongfully invoked 12 00:00:47,479 --> 00:00:51,159 Speaker 2: an emergency law to justify these levies. We'll see where 13 00:00:51,200 --> 00:00:53,520 Speaker 2: we go from here. Let's move on to the most 14 00:00:53,680 --> 00:00:56,960 Speaker 2: important earnings report of the week. After the bell, we 15 00:00:57,040 --> 00:01:00,520 Speaker 2: heard from Nvidia, and the company reported data center revenue 16 00:01:00,520 --> 00:01:04,280 Speaker 2: for the latest quarter close to estimates. Perhaps more importantly, 17 00:01:04,360 --> 00:01:07,400 Speaker 2: the chip maker gave a solid forecast for revenue in 18 00:01:07,440 --> 00:01:11,600 Speaker 2: the current quarter despite a slow down in China, and 19 00:01:11,760 --> 00:01:15,000 Speaker 2: Vidia is now expecting sales overall of about forty five 20 00:01:15,040 --> 00:01:19,600 Speaker 2: billion dollars. That's after subtracting eight billion in lost Chinese 21 00:01:19,680 --> 00:01:23,520 Speaker 2: sales because of those export controls. We heard earlier from 22 00:01:23,680 --> 00:01:27,280 Speaker 2: Nvidia CEO Jensen Wong speaking on the impact of those 23 00:01:27,360 --> 00:01:28,400 Speaker 2: export controls. 24 00:01:29,120 --> 00:01:33,600 Speaker 3: The limitations are quite quite stringent, quite limited, if you will. 25 00:01:34,480 --> 00:01:38,840 Speaker 3: H twenty is you know, as far down as we 26 00:01:38,880 --> 00:01:41,080 Speaker 3: could take a hopper. We don't know how to make 27 00:01:41,120 --> 00:01:44,479 Speaker 3: it even less, and so that's really the limit. 28 00:01:45,160 --> 00:01:47,880 Speaker 4: But there aren't there aren't. 29 00:01:48,280 --> 00:01:51,120 Speaker 3: You know, The limitations are quite stringent, so we have 30 00:01:51,240 --> 00:01:54,000 Speaker 3: we have to really think through it. Whatever we make 31 00:01:54,360 --> 00:01:56,240 Speaker 3: ultimately has to add value to the market. 32 00:01:56,400 --> 00:01:59,440 Speaker 2: Jensen Wong. They're the CEO of Nvidia. By the way, 33 00:01:59,480 --> 00:02:02,280 Speaker 2: you can watch the full conversation with Wog on the 34 00:02:02,280 --> 00:02:06,600 Speaker 2: Bloomberg podcast channel. It's on YouTube, shares and invidio. We're 35 00:02:06,640 --> 00:02:09,960 Speaker 2: up nearly five percent in late New York trading. Let's 36 00:02:09,960 --> 00:02:12,040 Speaker 2: take a closer look at the story on in video 37 00:02:12,080 --> 00:02:15,520 Speaker 2: with Daniel Newman. He is the CEO of Futurum Group. Daniel, 38 00:02:15,520 --> 00:02:18,040 Speaker 2: thank you for making time to chat with me on this. 39 00:02:18,560 --> 00:02:21,600 Speaker 2: What did we really see today that kind of can 40 00:02:21,639 --> 00:02:23,800 Speaker 2: move the market in one way or another when it 41 00:02:23,800 --> 00:02:24,640 Speaker 2: comes to in video. 42 00:02:25,080 --> 00:02:28,880 Speaker 1: The overall reaction to the Nvidia print was very positive. 43 00:02:29,440 --> 00:02:32,480 Speaker 1: Having said that the China woes are still not solved. 44 00:02:32,480 --> 00:02:35,639 Speaker 1: In In fact, if anything, Wong gave further doubt and 45 00:02:35,720 --> 00:02:37,920 Speaker 1: uncertainty to whether or not the company can really even 46 00:02:37,960 --> 00:02:40,960 Speaker 1: participate in that market. But having said that, even with 47 00:02:41,440 --> 00:02:44,960 Speaker 1: the multiple billions they couldn't ship this quarter, the write 48 00:02:44,960 --> 00:02:46,880 Speaker 1: down which ended up being just a little bit less 49 00:02:46,960 --> 00:02:51,320 Speaker 1: dug than what was expected, and the future sales, the 50 00:02:51,600 --> 00:02:54,200 Speaker 1: guide and the result this quarter showed that there is 51 00:02:54,320 --> 00:02:57,440 Speaker 1: a lot of positive momentum that must be taking place 52 00:02:57,440 --> 00:03:00,320 Speaker 1: outside of the region. And one of the really important 53 00:03:00,360 --> 00:03:04,200 Speaker 1: point is over the last several quarters, you've heard Long 54 00:03:04,400 --> 00:03:08,960 Speaker 1: pivot his conversations towards new markets like physical AI, robotics, 55 00:03:09,200 --> 00:03:11,320 Speaker 1: but also he's returned to talking about some of the 56 00:03:11,360 --> 00:03:17,640 Speaker 1: core business markets segments like gaming and automotive, and those 57 00:03:17,680 --> 00:03:21,639 Speaker 1: segments really outperformed, showing some really strong results, which I 58 00:03:21,639 --> 00:03:24,480 Speaker 1: think is important at this particular time, as I think 59 00:03:24,480 --> 00:03:26,240 Speaker 1: there's a little bit of fatigue on the data center 60 00:03:26,280 --> 00:03:29,560 Speaker 1: conversation and despite we're so early in AI, after eight 61 00:03:29,639 --> 00:03:32,240 Speaker 1: or nine continuous quarters of big in Vidia results in 62 00:03:32,240 --> 00:03:35,640 Speaker 1: this sort of Nvidia event each quarter, people want to 63 00:03:35,680 --> 00:03:37,320 Speaker 1: know how in Vidia is going to keep their growth, 64 00:03:37,320 --> 00:03:39,960 Speaker 1: and he showed it's not just data center and China 65 00:03:40,080 --> 00:03:41,760 Speaker 1: alone can't stop its momentum. 66 00:03:41,840 --> 00:03:45,080 Speaker 2: Yes, the China market is no doubt very important for Invidio. 67 00:03:45,240 --> 00:03:48,240 Speaker 2: I found it interesting today that the Trump administration said 68 00:03:48,240 --> 00:03:52,240 Speaker 2: it will restrict the sale of chip design software to China. 69 00:03:52,360 --> 00:03:55,040 Speaker 2: This comes to the issue of whether or not a 70 00:03:55,120 --> 00:03:59,040 Speaker 2: company like Quahweh, for example, can develop AI chips that 71 00:03:59,120 --> 00:04:02,680 Speaker 2: could someday compete with those of Nvidia. Do you think 72 00:04:02,760 --> 00:04:03,600 Speaker 2: that's a big stretch. 73 00:04:04,400 --> 00:04:07,440 Speaker 1: So we did hear about new rulings that could limit 74 00:04:07,480 --> 00:04:10,880 Speaker 1: the EDA software, some of the design tools, as you suggested, 75 00:04:11,360 --> 00:04:13,840 Speaker 1: and companies like Synopsis, which actually reported the same day 76 00:04:13,840 --> 00:04:16,120 Speaker 1: here as in Nvidia, took a big hit here. I 77 00:04:16,160 --> 00:04:20,880 Speaker 1: think there is a major chip being played unintended when 78 00:04:20,920 --> 00:04:23,440 Speaker 1: it comes to Nvidia and its ability to access the 79 00:04:23,520 --> 00:04:26,479 Speaker 1: Chinese market. And I think there is a bit of 80 00:04:26,520 --> 00:04:27,160 Speaker 1: give and take. 81 00:04:27,400 --> 00:04:27,679 Speaker 4: Now. 82 00:04:28,200 --> 00:04:30,760 Speaker 1: Wong is doing all the right things of the statesmen, 83 00:04:31,040 --> 00:04:34,360 Speaker 1: of the representative of A shareholders, and in Vidia wanting 84 00:04:34,400 --> 00:04:38,320 Speaker 1: to access this market that is a tam of fifty 85 00:04:38,360 --> 00:04:41,880 Speaker 1: billion plus dollars and holds half the world's AI researchers 86 00:04:41,880 --> 00:04:44,280 Speaker 1: in it. The US is playing a slightly different game. 87 00:04:44,880 --> 00:04:47,880 Speaker 1: We heard today about the possible blockade of certain terrorists. 88 00:04:47,960 --> 00:04:51,440 Speaker 1: But the Trump administration does understand that winning the AI race, 89 00:04:51,839 --> 00:04:54,919 Speaker 1: diffusing the Western and US based technology to everywhere in 90 00:04:54,960 --> 00:04:58,400 Speaker 1: the world is to its advantage. But the question is 91 00:04:58,800 --> 00:05:02,320 Speaker 1: does enable China. Does giving China access to any of 92 00:05:02,440 --> 00:05:04,919 Speaker 1: Nvidia's leading data center chips or even some of the 93 00:05:04,920 --> 00:05:08,280 Speaker 1: older ones like the Hopper chips they especially designed for China, 94 00:05:08,760 --> 00:05:11,240 Speaker 1: does that actually slow China down? And this is where 95 00:05:11,279 --> 00:05:15,000 Speaker 1: I don't entirely agree with Wong saying if we don't 96 00:05:15,000 --> 00:05:19,040 Speaker 1: give them these chips, China will go faster and build 97 00:05:19,160 --> 00:05:24,080 Speaker 1: I think Jijingping in the Chinese Party understands the importance 98 00:05:24,120 --> 00:05:26,520 Speaker 1: of leading an AI. It understands that it wants to 99 00:05:26,600 --> 00:05:29,880 Speaker 1: win because there are multiple decades of global economic leadership 100 00:05:29,920 --> 00:05:32,160 Speaker 1: at stake here. I think China's going as fast as 101 00:05:32,160 --> 00:05:35,000 Speaker 1: it can anyways. I think it's behind, but given its 102 00:05:35,000 --> 00:05:38,880 Speaker 1: ability to build energy and given its ability to brute 103 00:05:38,920 --> 00:05:41,719 Speaker 1: force through processes like they've done with Huawei as send, 104 00:05:42,080 --> 00:05:44,000 Speaker 1: I think it's a big mistake to rule them out. 105 00:05:44,040 --> 00:05:47,200 Speaker 1: So it puts a very tough juxtaposition for the Trump administration, 106 00:05:47,480 --> 00:05:49,320 Speaker 1: but it's also tough for in Vidia shareholders to lose 107 00:05:49,360 --> 00:05:50,120 Speaker 1: out on that market. 108 00:05:50,240 --> 00:05:53,000 Speaker 2: So what about the adoption of AI technology by an 109 00:05:53,000 --> 00:05:56,520 Speaker 2: American company? And I'm going to use Salesforce as an 110 00:05:56,560 --> 00:06:00,640 Speaker 2: example because after the bell, Salesforce raised its gods for 111 00:06:00,800 --> 00:06:03,839 Speaker 2: revenue on the full year, and that's probably a good 112 00:06:03,839 --> 00:06:08,960 Speaker 2: indication that the company's latest AI product, known as agent Force, 113 00:06:09,440 --> 00:06:13,640 Speaker 2: is on a path to contribute significantly to increased sales. 114 00:06:14,240 --> 00:06:16,960 Speaker 2: Is this something we should see more of companies like 115 00:06:17,160 --> 00:06:21,279 Speaker 2: Salesforce adopting AI and beginning to realize the return on investment. 116 00:06:21,440 --> 00:06:24,039 Speaker 1: This is what we want to see as we've watched 117 00:06:24,080 --> 00:06:27,400 Speaker 1: this massive infrastructure build out and the arms race that 118 00:06:27,560 --> 00:06:30,400 Speaker 1: is building data centers everywhere in the world, empowering them 119 00:06:30,400 --> 00:06:33,680 Speaker 1: with these and most advanced chips. The second part and 120 00:06:33,720 --> 00:06:36,400 Speaker 1: where the sort of bubble crowd when it comes to 121 00:06:36,440 --> 00:06:40,000 Speaker 1: AI comes into places. They're like, Yeah, all these hyperscalers 122 00:06:40,040 --> 00:06:42,760 Speaker 1: are putting billions and billions of dollars into capex to build, 123 00:06:42,800 --> 00:06:46,880 Speaker 1: But who's using this stuff? So companies like Salesforce, like 124 00:06:47,120 --> 00:06:51,080 Speaker 1: service Now, like Workday, these applications company the ones that 125 00:06:51,120 --> 00:06:55,440 Speaker 1: are powering businesses, Oracle and SAP seeing their AI offerings 126 00:06:55,440 --> 00:06:59,280 Speaker 1: which aren't brand new per se, but have not necessarily 127 00:06:59,320 --> 00:07:04,240 Speaker 1: contributed to earnings numbers as materially as investors would like 128 00:07:04,320 --> 00:07:07,200 Speaker 1: to see. So if Microsoft spending eighty billion or Google 129 00:07:07,240 --> 00:07:09,840 Speaker 1: spending seventy billion on capex, and then they're saying, hey, 130 00:07:09,840 --> 00:07:12,480 Speaker 1: we've got a couple billion dollars of revenue from all 131 00:07:12,520 --> 00:07:15,880 Speaker 1: of this, investment investors, well, they're still optimistic because you've 132 00:07:15,920 --> 00:07:17,800 Speaker 1: seen it in the stock price. They're still kind of 133 00:07:17,800 --> 00:07:21,680 Speaker 1: taking pause. Now, these applications, companies rolling out, these agents. 134 00:07:21,720 --> 00:07:25,040 Speaker 1: These are the consumption layer, and this is the utilization 135 00:07:25,200 --> 00:07:28,440 Speaker 1: of all this compute processing that's being built, these tokens, 136 00:07:28,480 --> 00:07:34,320 Speaker 1: these agents, these applications. So seeing Salesforce's result today, seeing 137 00:07:34,320 --> 00:07:37,360 Speaker 1: it mention about sixty percent of its deals have meaningful AI, 138 00:07:37,480 --> 00:07:39,840 Speaker 1: seeing it stay it wants to hire two thousand sales 139 00:07:39,880 --> 00:07:41,920 Speaker 1: reps to sell more of it. A bit ironic but 140 00:07:42,040 --> 00:07:45,840 Speaker 1: yet interesting because you'd think maybe the agents could do 141 00:07:45,880 --> 00:07:47,560 Speaker 1: the work. But I think that's all part of the 142 00:07:47,560 --> 00:07:50,440 Speaker 1: process of getting us to this larger, more meaningful consumption 143 00:07:50,800 --> 00:07:53,480 Speaker 1: that will prove to the market that this isn't a bubble, 144 00:07:53,480 --> 00:07:54,360 Speaker 1: which I don't think it is. 145 00:07:54,560 --> 00:07:56,840 Speaker 2: So it comes down to winners and losers. I can 146 00:07:56,840 --> 00:08:01,600 Speaker 2: throw out names like Alphabet, like Microsoft, like Amazon. Even 147 00:08:01,920 --> 00:08:04,520 Speaker 2: are you placing bets on companies that you think have 148 00:08:04,560 --> 00:08:08,320 Speaker 2: a competitive advantage as the result of adopting AI right now? 149 00:08:08,720 --> 00:08:12,320 Speaker 1: Well, first of all, the operating leverage of those hyperscaler 150 00:08:12,440 --> 00:08:15,520 Speaker 1: and cloud companies and they're so much more right the Amazon, 151 00:08:15,600 --> 00:08:19,480 Speaker 1: Microsoft and Google does provide them a huge advantage. Really, 152 00:08:19,480 --> 00:08:23,840 Speaker 1: the only companies that are outside of those scale of 153 00:08:23,560 --> 00:08:26,560 Speaker 1: the scale of those companies are the likes of an 154 00:08:26,560 --> 00:08:29,000 Speaker 1: open Ai, which has so much funding behind it that 155 00:08:29,040 --> 00:08:30,800 Speaker 1: it's able to go make six and a half billion 156 00:08:30,840 --> 00:08:34,320 Speaker 1: dollar acquisitions of Jony Ives's company, and it's able to 157 00:08:34,400 --> 00:08:36,880 Speaker 1: kind of lose billions of dollars a quarter to build 158 00:08:36,920 --> 00:08:40,800 Speaker 1: out something that people will buy, consume, and utilize. I 159 00:08:40,840 --> 00:08:43,200 Speaker 1: think the metric to watch is, look, we're going to 160 00:08:43,200 --> 00:08:46,920 Speaker 1: build this infrastructure future out. It's a race with China. 161 00:08:47,160 --> 00:08:49,240 Speaker 1: We are going to try to advance power, which, by 162 00:08:49,280 --> 00:08:52,240 Speaker 1: the way, that power is a huge advantage to China 163 00:08:52,640 --> 00:08:54,640 Speaker 1: and the US. Trying to deregulate some of what it's 164 00:08:54,640 --> 00:08:57,000 Speaker 1: doing in nuclear, for instance, is going to be important, 165 00:08:57,000 --> 00:08:59,079 Speaker 1: but it could take years to build up any sort 166 00:08:59,080 --> 00:09:02,320 Speaker 1: of nuclear infrastructre sure, But in the end, it is 167 00:09:02,400 --> 00:09:06,600 Speaker 1: going to be those applications, the ones that unlock the 168 00:09:07,000 --> 00:09:09,760 Speaker 1: mass amounts of data. IBM CEO has told me the 169 00:09:09,840 --> 00:09:11,880 Speaker 1: last time I spoke to, ninety nine percent of enterprise 170 00:09:12,000 --> 00:09:14,960 Speaker 1: data has not yet touched AI. So while we've seen 171 00:09:14,960 --> 00:09:17,440 Speaker 1: the entire Internet be scraped over the last couple of 172 00:09:17,480 --> 00:09:19,959 Speaker 1: years to be utilized for these large language models like 173 00:09:20,040 --> 00:09:23,640 Speaker 1: chat GPT, the enterprise has actually moved quite slow. Is 174 00:09:23,679 --> 00:09:26,880 Speaker 1: in the earliest phase of adoption, and until businesses are 175 00:09:26,920 --> 00:09:30,760 Speaker 1: really putting that AI to work at scale, we are 176 00:09:31,040 --> 00:09:34,120 Speaker 1: necessarily going to completely provide confidence to the market that 177 00:09:34,600 --> 00:09:38,280 Speaker 1: this AI transformation from infrastructure build out the basically the 178 00:09:38,400 --> 00:09:45,000 Speaker 1: roads and the pathways, turns into businesses making money and 179 00:09:45,040 --> 00:09:48,080 Speaker 1: making more efficient business decisions because of it. But that 180 00:09:48,160 --> 00:09:48,959 Speaker 1: is where we are heading. 181 00:09:49,320 --> 00:09:52,040 Speaker 2: Last question before I let you go, Daniel, you mentioned 182 00:09:52,120 --> 00:09:55,280 Speaker 2: Johnny Ive and the deal he has with open Ai. 183 00:09:55,440 --> 00:09:58,640 Speaker 2: Know now we know I've to be the designer for 184 00:09:58,800 --> 00:10:02,320 Speaker 2: many of Apple's device Is the iPhone being one? Do 185 00:10:02,400 --> 00:10:05,280 Speaker 2: you think the fact that I've is now partnering with 186 00:10:05,400 --> 00:10:08,800 Speaker 2: open ai Sam Altman to come up with some hardware 187 00:10:08,840 --> 00:10:12,680 Speaker 2: device that will essentially be designed for artificial intelligence, does 188 00:10:12,720 --> 00:10:15,480 Speaker 2: that represent a wake up call for Apple. 189 00:10:16,120 --> 00:10:21,720 Speaker 1: Apple has been shocking with its implementation of AI. I 190 00:10:21,840 --> 00:10:24,880 Speaker 1: gave them the grace of several quarters with Apple Intelligence 191 00:10:24,920 --> 00:10:28,560 Speaker 1: to say Apple can get there. And here's the crazy thing, Doug, 192 00:10:28,920 --> 00:10:33,520 Speaker 1: is that Apple has such a committed and dedicated user 193 00:10:33,559 --> 00:10:36,199 Speaker 1: base that I think it can actually continue to fumble 194 00:10:36,240 --> 00:10:40,720 Speaker 1: and still be successful. Having said that, there does seem 195 00:10:40,760 --> 00:10:42,880 Speaker 1: to be an inroads right now. You see what Google 196 00:10:42,920 --> 00:10:45,080 Speaker 1: did at its recent IOW event in terms of some 197 00:10:45,080 --> 00:10:48,200 Speaker 1: of the next generation technology that it's launching. Google of 198 00:10:48,240 --> 00:10:51,000 Speaker 1: course has Android. They're building technologies right into devices and 199 00:10:51,040 --> 00:10:55,640 Speaker 1: into the cloud. We'll see what Microsoft is developing. Apple seems, 200 00:10:55,640 --> 00:10:59,160 Speaker 1: for whatever reason, to be so focused on supply chain, 201 00:10:59,240 --> 00:11:01,800 Speaker 1: and of course the administrations put a lot of pressure there. 202 00:11:02,080 --> 00:11:04,080 Speaker 1: But this isn't a new symptom for the company. This 203 00:11:04,120 --> 00:11:07,439 Speaker 1: has been several quarters in a row. Underperforming, doesn't have 204 00:11:07,480 --> 00:11:09,920 Speaker 1: an answer for large language models, hasn't had an answer 205 00:11:09,920 --> 00:11:14,440 Speaker 1: for really the on device opportunity. I think that Apple. 206 00:11:14,240 --> 00:11:15,680 Speaker 4: Is a little bit at risk. 207 00:11:16,480 --> 00:11:19,800 Speaker 1: I also think Sam Altman's ambitions sometimes scale far beyond 208 00:11:19,840 --> 00:11:22,640 Speaker 1: He was going to build seven trillion dollars worth of infrastructure. 209 00:11:22,640 --> 00:11:25,040 Speaker 1: He's going to replace social media networks, and he's also 210 00:11:25,080 --> 00:11:28,520 Speaker 1: going to take out Google. I think he's got he's 211 00:11:28,520 --> 00:11:31,600 Speaker 1: got big ideas. So far, he's executed one of them, 212 00:11:31,640 --> 00:11:35,080 Speaker 1: which is the generative AI movement becoming and chat GPT 213 00:11:35,200 --> 00:11:38,199 Speaker 1: becoming the Kleenex of large language models. But I also 214 00:11:38,240 --> 00:11:40,560 Speaker 1: think trying to get into hardware at scale is going 215 00:11:40,600 --> 00:11:43,800 Speaker 1: to prove to be a very different challenge. I'm very 216 00:11:44,800 --> 00:11:47,040 Speaker 1: conflicted as to whether that was a good use of 217 00:11:47,080 --> 00:11:49,480 Speaker 1: six and a half billion dollars when the company's already 218 00:11:49,480 --> 00:11:50,120 Speaker 1: burning cash. 219 00:11:50,360 --> 00:11:52,440 Speaker 2: Daniel will leave it there. It's always your pleasure. Thank 220 00:11:52,480 --> 00:11:54,640 Speaker 2: you so much. Daniel Newman there. He is the CEO 221 00:11:55,080 --> 00:11:57,760 Speaker 2: at the Futurum Group. Joining us here on the Daybreak 222 00:11:57,800 --> 00:12:07,839 Speaker 2: Asia podcast. Welcome back to the Daybreak Asia Podcast. I'm 223 00:12:07,920 --> 00:12:11,280 Speaker 2: dok Chrisner. The equity market in the US drifted lower 224 00:12:11,520 --> 00:12:13,880 Speaker 2: in front of the results from Nvidia. We had the 225 00:12:13,960 --> 00:12:16,080 Speaker 2: S and P down about six tens of one percent. 226 00:12:16,480 --> 00:12:20,040 Speaker 2: That after that two percent rally on Tuesday. Joining me 227 00:12:20,080 --> 00:12:23,080 Speaker 2: now for a closer look at market action is Tim Pagliara. 228 00:12:23,160 --> 00:12:26,480 Speaker 2: He is the chairman also the chief investment officer at 229 00:12:26,559 --> 00:12:30,240 Speaker 2: cap Wealth. Tim is on the line from Franklin Tennessee. Tim, 230 00:12:30,280 --> 00:12:32,280 Speaker 2: It's always a pleasure to chat with you. There are 231 00:12:32,280 --> 00:12:34,280 Speaker 2: so many things that we could talk about. We could 232 00:12:34,360 --> 00:12:37,160 Speaker 2: begin with a story on the Nvidia earnings. We could 233 00:12:37,200 --> 00:12:41,160 Speaker 2: talk about US fiscal policy and what we're hearing from 234 00:12:41,200 --> 00:12:44,120 Speaker 2: the Fed. I'm curious as to where you are focused 235 00:12:44,160 --> 00:12:44,640 Speaker 2: right now. 236 00:12:45,120 --> 00:12:47,839 Speaker 5: I mean sped policy and as a wait and see 237 00:12:48,600 --> 00:12:52,440 Speaker 5: approach right now, and the most significant thing for all 238 00:12:52,480 --> 00:12:55,640 Speaker 5: of us to watch in the markets is whether the 239 00:12:55,720 --> 00:12:59,960 Speaker 5: bond market is going to impose the discipline that cast 240 00:13:00,160 --> 00:13:06,280 Speaker 5: risk cannot impose through spending cuts and getting the budget 241 00:13:06,360 --> 00:13:10,680 Speaker 5: under control. So as the final details of this budget 242 00:13:10,840 --> 00:13:15,560 Speaker 5: emerge and it's reconciled with the Senate, then you're going 243 00:13:15,600 --> 00:13:16,560 Speaker 5: to see whether or. 244 00:13:16,559 --> 00:13:20,360 Speaker 4: Not rates go higher or they go lower. 245 00:13:20,480 --> 00:13:26,600 Speaker 5: If the perception is that we've made significant progress, for example, 246 00:13:27,559 --> 00:13:33,600 Speaker 5: debt annual GDP spending goes from seven percent maybe to 247 00:13:33,720 --> 00:13:37,559 Speaker 5: five percent, and the market thinks that that's significant, given 248 00:13:37,600 --> 00:13:41,280 Speaker 5: the fact that we have made permanent tax cuts and 249 00:13:41,320 --> 00:13:46,840 Speaker 5: we've increased a number of worthy things for working class 250 00:13:46,880 --> 00:13:51,120 Speaker 5: people and everything from tax credits for seniors, to increase 251 00:13:51,720 --> 00:13:56,559 Speaker 5: child tax credits for families, increase in the standard deduction. 252 00:13:57,080 --> 00:14:02,680 Speaker 5: If that whole package satisfies the financial market, specifically the 253 00:14:02,720 --> 00:14:07,040 Speaker 5: bond market. Then I think the Trump administration has had 254 00:14:07,080 --> 00:14:08,680 Speaker 5: a big victory so far this year. 255 00:14:08,880 --> 00:14:11,400 Speaker 2: So we're looking at a tenure that's under four point 256 00:14:11,400 --> 00:14:14,839 Speaker 2: fifty right now in the New York session on Wednesday, 257 00:14:15,600 --> 00:14:18,360 Speaker 2: Are you prepared to say that rates are going to 258 00:14:18,360 --> 00:14:21,360 Speaker 2: get closer to four percent than they are five percent 259 00:14:21,400 --> 00:14:22,000 Speaker 2: on the tenure? 260 00:14:22,560 --> 00:14:25,800 Speaker 5: Now? My belief is, again the victory is if they 261 00:14:25,880 --> 00:14:30,080 Speaker 5: stabilize where they are right now. It just all depends 262 00:14:30,240 --> 00:14:34,320 Speaker 5: on the perception and the details that come from the 263 00:14:34,360 --> 00:14:39,360 Speaker 5: reconciliation of what the House is proposed and what the Senate. 264 00:14:39,120 --> 00:14:41,520 Speaker 4: Will how it will be adjusted. 265 00:14:41,640 --> 00:14:45,920 Speaker 5: So you could see the ten year ago to five percent, 266 00:14:46,080 --> 00:14:48,960 Speaker 5: I don't think you see it go going much below, 267 00:14:49,040 --> 00:14:50,040 Speaker 5: say four and a quarter. 268 00:14:50,720 --> 00:14:54,200 Speaker 2: Okay, we had the Nvidia earnings after the bill, and 269 00:14:54,320 --> 00:14:56,960 Speaker 2: guidance I think was critical for the market. So a 270 00:14:57,000 --> 00:15:00,040 Speaker 2: solid forecast from what we can tell, revenue for the 271 00:15:00,080 --> 00:15:04,640 Speaker 2: current quarter will be around forty five billion, and amazingly, 272 00:15:04,760 --> 00:15:08,280 Speaker 2: that's after subtracting eight billion in lost Chinese sales because 273 00:15:08,280 --> 00:15:11,560 Speaker 2: of those export controls. Have you been a buyer of 274 00:15:11,600 --> 00:15:15,680 Speaker 2: the AI trade, particularly through names in the chip space 275 00:15:16,280 --> 00:15:17,320 Speaker 2: like in Nvidia. 276 00:15:18,360 --> 00:15:22,720 Speaker 5: We've got a more expansive view of the AI trade. 277 00:15:22,760 --> 00:15:28,680 Speaker 5: For example, we believe it's the applications that come from 278 00:15:29,280 --> 00:15:33,400 Speaker 5: Navidia chips in AI. So we've been long term holders 279 00:15:33,400 --> 00:15:36,800 Speaker 5: of Palenteer. Two years ago we made the decision to 280 00:15:36,880 --> 00:15:41,800 Speaker 5: buy Palenteer instead of Navidia. We've also really beefed up 281 00:15:42,080 --> 00:15:47,120 Speaker 5: our holdings in electric utilities. You know, the AI revolution 282 00:15:47,320 --> 00:15:50,280 Speaker 5: is going to cause the country to have to double 283 00:15:50,360 --> 00:15:54,800 Speaker 5: electricity output, you know, over the next ten years, and 284 00:15:55,240 --> 00:15:59,560 Speaker 5: so we picked up Constellation Energy back during that real 285 00:15:59,640 --> 00:16:03,760 Speaker 5: chio period in April at. 286 00:16:03,640 --> 00:16:05,360 Speaker 4: You know, one hundred and eighty five dollars a share. 287 00:16:05,440 --> 00:16:07,200 Speaker 4: Now it's over three hundred and five dollars. 288 00:16:07,280 --> 00:16:11,480 Speaker 5: So these these things they kind of flash, the markets 289 00:16:11,480 --> 00:16:14,120 Speaker 5: settle down, and you have to be very nimble, and 290 00:16:14,160 --> 00:16:16,800 Speaker 5: you have to have a by list of things that 291 00:16:16,840 --> 00:16:23,640 Speaker 5: you find attractive that really make up the whole AI trade. 292 00:16:23,680 --> 00:16:29,840 Speaker 5: So it's electricity, it's data centers. Another big one is lumen. 293 00:16:30,080 --> 00:16:35,720 Speaker 5: There's a cover story and Fortune this week about Kate 294 00:16:35,840 --> 00:16:40,880 Speaker 5: Johnson and how she's leading the AI revolution through the 295 00:16:40,920 --> 00:16:45,200 Speaker 5: technology infrastructure that has to be created between data centers. 296 00:16:45,880 --> 00:16:49,360 Speaker 5: You know, Oracle, for example, has entered into a partnership 297 00:16:49,400 --> 00:16:52,840 Speaker 5: with Lumen. They have one hundred data centers right now, 298 00:16:52,880 --> 00:16:57,760 Speaker 5: either under construction or operational, and the infrastructure of transferring 299 00:16:57,880 --> 00:17:02,120 Speaker 5: data between those centers to increase somatically, and Lumen's right 300 00:17:02,160 --> 00:17:04,560 Speaker 5: in the middle of that. They also have agreements with 301 00:17:04,640 --> 00:17:09,440 Speaker 5: IBM and Google, and a big agreement that they entered 302 00:17:09,480 --> 00:17:10,520 Speaker 5: into with Microsoft. 303 00:17:10,680 --> 00:17:14,600 Speaker 4: So you know, it's not it's not the chip. 304 00:17:15,160 --> 00:17:19,760 Speaker 5: The chip's important, but it's the applications of that chip 305 00:17:19,840 --> 00:17:22,320 Speaker 5: in commerce and how it's going to change everybody's lives. 306 00:17:22,359 --> 00:17:24,520 Speaker 2: I'm just wondering whether or not some of the tension 307 00:17:24,560 --> 00:17:27,359 Speaker 2: between the US and China has the potential to pretty 308 00:17:27,440 --> 00:17:32,080 Speaker 2: dramatically hold back revenue growth for some big American tech players. 309 00:17:32,440 --> 00:17:35,720 Speaker 2: Tonight we learned that the Trump administration will restrict sales 310 00:17:35,800 --> 00:17:39,120 Speaker 2: of chip design software to China. We're told the Commerce 311 00:17:39,160 --> 00:17:42,720 Speaker 2: Department has been sending letters to some leading providers of 312 00:17:43,240 --> 00:17:48,080 Speaker 2: electronic design automation. And when you look at this this tension. 313 00:17:48,160 --> 00:17:51,040 Speaker 2: We talked about the Nvidia story and the export controls 314 00:17:51,080 --> 00:17:54,080 Speaker 2: and the degree to which even Jensen Wong, the CEO 315 00:17:54,160 --> 00:17:56,240 Speaker 2: of Nvidia, was saying this is going to be a 316 00:17:56,320 --> 00:17:58,600 Speaker 2: hindrance to our growth, the fact that we have these 317 00:17:58,680 --> 00:18:03,080 Speaker 2: export controls where the Chinese market is concerned. Broadly speaking, 318 00:18:03,119 --> 00:18:06,000 Speaker 2: do you think that some of this trade policy has 319 00:18:06,040 --> 00:18:09,320 Speaker 2: the potential to restrain growth for American tech firms. 320 00:18:10,040 --> 00:18:12,600 Speaker 5: Yes, but I think in the near term, you know, 321 00:18:12,680 --> 00:18:16,040 Speaker 5: it's a national security issue. That's why you you know, 322 00:18:16,119 --> 00:18:18,880 Speaker 5: saw Trump, I believe in the Middle East and Jensen 323 00:18:19,480 --> 00:18:22,920 Speaker 5: Wong was shoulder to shoulder with the President, and they're 324 00:18:22,960 --> 00:18:28,679 Speaker 5: attempting to give them additional outlets through kind of a 325 00:18:28,760 --> 00:18:32,600 Speaker 5: Most Favored Nation status that they have imparted into the 326 00:18:32,640 --> 00:18:36,679 Speaker 5: Middle East, you know, for AI development and anything that 327 00:18:36,800 --> 00:18:45,159 Speaker 5: decentralizes the Chinese influence in artificial intelligence and moves it 328 00:18:45,200 --> 00:18:48,760 Speaker 5: towards our partners, for example in India. And like I said, 329 00:18:48,840 --> 00:18:53,600 Speaker 5: the Middle East should benefit companies like Navidia, and they'll 330 00:18:53,600 --> 00:18:56,800 Speaker 5: be able to pick up the slack. You know, it's 331 00:18:57,880 --> 00:19:00,000 Speaker 5: not a good place for them to be doing business 332 00:19:00,119 --> 00:19:03,159 Speaker 5: in the first place. They'll you know, they're notorious for 333 00:19:03,240 --> 00:19:08,600 Speaker 5: stealing their you know, proprietary technology, all of that, and 334 00:19:08,680 --> 00:19:12,160 Speaker 5: so I think in the long run it'll have no impact. 335 00:19:12,160 --> 00:19:15,879 Speaker 2: Short run, yes, so technology is obviously one part of 336 00:19:15,920 --> 00:19:19,359 Speaker 2: the trade story. It's kind of interesting today that Wilburgh Ross, 337 00:19:19,600 --> 00:19:22,520 Speaker 2: who of course, as we know, was Commerce Secretary during 338 00:19:22,560 --> 00:19:25,760 Speaker 2: the first Trump administration, was saying that he expects the 339 00:19:25,800 --> 00:19:29,159 Speaker 2: equity market in the US to sour by the end 340 00:19:29,200 --> 00:19:32,240 Speaker 2: of late June if there is not progress on trade talks. 341 00:19:32,280 --> 00:19:35,719 Speaker 2: That's a pretty tight timeline. If we don't get agreements 342 00:19:36,119 --> 00:19:38,080 Speaker 2: by the end of June. Do you think that there's 343 00:19:38,119 --> 00:19:41,480 Speaker 2: a real risk of some sort of upheaval in US equities? 344 00:19:41,880 --> 00:19:44,639 Speaker 5: I think, you know, I would call fall short of 345 00:19:44,640 --> 00:19:47,280 Speaker 5: calling it up evil. I think it will go back 346 00:19:48,080 --> 00:19:52,120 Speaker 5: to a more heightened focus on valuation, and there's still 347 00:19:52,200 --> 00:19:56,120 Speaker 5: issues relative to the valuations of companies and what they 348 00:19:56,119 --> 00:19:59,520 Speaker 5: can reasonably deliver in terms of growth. 349 00:20:00,800 --> 00:20:03,840 Speaker 4: So I think they're going to make a lot. 350 00:20:03,720 --> 00:20:06,160 Speaker 5: Of progress by the end of June, or they wouldn't 351 00:20:06,200 --> 00:20:10,880 Speaker 5: be advertising that as one of their objectives. 352 00:20:11,200 --> 00:20:13,080 Speaker 2: Tim will leave it there. Thank you so much. It's 353 00:20:13,080 --> 00:20:15,600 Speaker 2: always a pleasure. Tim Pagliara there. He is the chairman 354 00:20:15,640 --> 00:20:19,960 Speaker 2: also the chief investment officer at cap Wealth. Joining from Franklin, 355 00:20:20,000 --> 00:20:24,560 Speaker 2: Tennessee here on the Daybreak Asia podcast. Thanks for listening 356 00:20:24,600 --> 00:20:28,800 Speaker 2: to today's episode of the Bloomberg Daybreak Asia edition podcast. 357 00:20:29,119 --> 00:20:32,280 Speaker 2: Each weekday, we look at the story shaping markets, finance, 358 00:20:32,640 --> 00:20:35,719 Speaker 2: and geopolitics in the Asia Pacific. You can find us 359 00:20:35,720 --> 00:20:39,960 Speaker 2: on Apple, Spotify, the Bloomberg Podcast YouTube channel, or anywhere 360 00:20:39,960 --> 00:20:43,040 Speaker 2: else you listen. Join us again tomorrow for insight on 361 00:20:43,080 --> 00:20:47,240 Speaker 2: the market moves from Hong Kong to Singapore and Australia. 362 00:20:47,680 --> 00:20:50,159 Speaker 2: I'm Doug Chrisner, and this is Bloomberg