1 00:00:02,520 --> 00:00:07,040 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. 2 00:00:10,880 --> 00:00:14,280 Speaker 2: Welcome to the Bloomberg Daybreak Asia podcast. I'm Doug Chrisner. 3 00:00:14,840 --> 00:00:18,480 Speaker 2: Tomorrow after the Bell in Video will deliver its highly 4 00:00:18,520 --> 00:00:22,320 Speaker 2: anticipated fourth quarter results. This is the world's most valuable 5 00:00:22,360 --> 00:00:26,000 Speaker 2: company and without a doubt, it's been the biggest beneficiary 6 00:00:26,079 --> 00:00:28,120 Speaker 2: of that big surge that we have seen in spending 7 00:00:28,160 --> 00:00:32,400 Speaker 2: on artificial intelligence over the past two years. Still there 8 00:00:32,400 --> 00:00:36,280 Speaker 2: are questions about whether data center operators will ease their 9 00:00:36,320 --> 00:00:40,400 Speaker 2: expenditures on artificial intelligence. Joining me now for a closer 10 00:00:40,400 --> 00:00:44,960 Speaker 2: look as Daniel Newman. He is the CEO of Futurum Group. Daniel, 11 00:00:44,960 --> 00:00:47,960 Speaker 2: it's always a pleasure. Thank you for joining us. You 12 00:00:48,120 --> 00:00:51,720 Speaker 2: have called in Vidia's earnings kind of a national holiday 13 00:00:52,000 --> 00:00:54,480 Speaker 2: in its own way. Make that case for me. 14 00:00:55,160 --> 00:00:57,440 Speaker 3: Well, we've seen over the last eight quarters it's become 15 00:00:57,800 --> 00:01:01,440 Speaker 3: the pivotal moment in the market, and over the last 16 00:01:02,040 --> 00:01:06,280 Speaker 3: two or three quarters you basically see the entire reflection 17 00:01:06,480 --> 00:01:09,080 Speaker 3: of what's happened with the other mag six companies kind 18 00:01:09,080 --> 00:01:11,680 Speaker 3: of culminate with this last report that comes out of 19 00:01:11,680 --> 00:01:15,320 Speaker 3: in Vidia, and unlike a lot of the other big earnings, Doug, 20 00:01:16,360 --> 00:01:20,319 Speaker 3: you'll see media folks like US analysts talking about this, 21 00:01:20,480 --> 00:01:21,800 Speaker 3: not just for days leading. 22 00:01:21,640 --> 00:01:24,000 Speaker 4: Up, it's weeks. 23 00:01:23,520 --> 00:01:25,800 Speaker 3: Of talk about what is going to happen and is 24 00:01:25,840 --> 00:01:28,000 Speaker 3: in Vidia the bell weather of the future of AI 25 00:01:28,160 --> 00:01:28,760 Speaker 3: in trade? 26 00:01:29,520 --> 00:01:32,040 Speaker 2: So the stock was down today about two point eight percent. 27 00:01:32,600 --> 00:01:34,920 Speaker 2: Over the last five trading days, I think we're off 28 00:01:34,959 --> 00:01:38,200 Speaker 2: about nine percent, and today and Video broke below that 29 00:01:38,240 --> 00:01:41,399 Speaker 2: two hundred day moving average. I know you're not a technician, 30 00:01:42,120 --> 00:01:44,080 Speaker 2: but is that a troubling sign. 31 00:01:44,880 --> 00:01:49,600 Speaker 3: I think this is the most pessimistic view I've seen 32 00:01:49,720 --> 00:01:55,920 Speaker 3: from the broader equities markets. Communities insist in video, though 33 00:01:56,240 --> 00:01:59,280 Speaker 3: it is every tech company. If you were a fast 34 00:01:59,360 --> 00:02:03,120 Speaker 3: growth liar like a Palenteer, you didn't see nine percent pullback, 35 00:02:03,160 --> 00:02:07,840 Speaker 3: you saw thirty percent pullback. In Vidia has accelerated and 36 00:02:07,880 --> 00:02:10,760 Speaker 3: pulled back, And of course it's felt like almost every 37 00:02:10,880 --> 00:02:13,680 Speaker 3: Sunday there's some piece of news. It's out to take 38 00:02:13,720 --> 00:02:16,400 Speaker 3: down the markets, it's taken down crypto, it's deep seek, 39 00:02:16,720 --> 00:02:18,720 Speaker 3: and so all these things are happening right now, and 40 00:02:18,760 --> 00:02:21,600 Speaker 3: it's kind of left in Video just right around where 41 00:02:21,600 --> 00:02:24,120 Speaker 3: it was six months ago. It's kind of just bouncing around. 42 00:02:24,600 --> 00:02:25,359 Speaker 4: But I'm not worried. 43 00:02:25,639 --> 00:02:28,639 Speaker 3: I think the trades very much intact very early ray So. 44 00:02:28,639 --> 00:02:30,919 Speaker 2: You mentioned deep seek there. I'm curious to get your 45 00:02:31,000 --> 00:02:33,680 Speaker 2: take as to whether or not the development of that 46 00:02:33,919 --> 00:02:37,800 Speaker 2: R one chatbot really kind of forces the market to 47 00:02:37,840 --> 00:02:42,280 Speaker 2: recalibrate this notion of how much spend is necessary to 48 00:02:42,320 --> 00:02:46,520 Speaker 2: get some of the most advanced AI without committing a 49 00:02:46,560 --> 00:02:49,360 Speaker 2: great deal to you know, some of these advanced chips. 50 00:02:49,600 --> 00:02:51,800 Speaker 3: I think you think it did the opposite. I think 51 00:02:51,880 --> 00:02:56,320 Speaker 3: upon initial reflection of what we read and what we 52 00:02:56,400 --> 00:02:58,320 Speaker 3: saw come out of that team and out of China, 53 00:02:58,680 --> 00:03:01,640 Speaker 3: it did look that way. But what we've found is 54 00:03:01,639 --> 00:03:04,560 Speaker 3: that through all of these sort of we've found the cheaper, 55 00:03:04,919 --> 00:03:08,600 Speaker 3: dirtier way to do AI moments, it actually turns out 56 00:03:08,639 --> 00:03:11,280 Speaker 3: that we need more compute, and it's going to happen 57 00:03:11,360 --> 00:03:14,560 Speaker 3: for a couple of different reasons. We will certainly see 58 00:03:14,680 --> 00:03:18,960 Speaker 3: techniques put into place that will enable more efficient compute 59 00:03:19,000 --> 00:03:23,960 Speaker 3: out of existing llms, that will develop and create more utilization. 60 00:03:24,440 --> 00:03:28,720 Speaker 3: But in the end that additional utilization is going to 61 00:03:28,720 --> 00:03:32,160 Speaker 3: scale exponentially. And so you've heard Sati Nadell and others 62 00:03:32,160 --> 00:03:35,280 Speaker 3: talk about Jevan's paradox. But we are at you know, 63 00:03:35,400 --> 00:03:38,720 Speaker 3: we are aggressively building out the infrastructure of the future. 64 00:03:38,760 --> 00:03:40,520 Speaker 3: But in terms of consumption, and this is why a 65 00:03:40,560 --> 00:03:43,320 Speaker 3: lot of people call AI a bubble, we are very 66 00:03:43,320 --> 00:03:46,480 Speaker 3: early in consumption. You know, Microsoft spending eighty five billion 67 00:03:46,800 --> 00:03:49,960 Speaker 3: on infrastructure build out in data centers and they are 68 00:03:50,000 --> 00:03:53,560 Speaker 3: able to show around thirteen billion in revenue. That model 69 00:03:53,600 --> 00:03:56,840 Speaker 3: doesn't work over a long period of time. So when 70 00:03:56,880 --> 00:03:59,560 Speaker 3: does that turn a corner where that eighty five billion 71 00:03:59,600 --> 00:04:02,080 Speaker 3: is going to re turn more than eighty five billion 72 00:04:02,200 --> 00:04:04,200 Speaker 3: in a short period of time, like the period of 73 00:04:04,240 --> 00:04:06,320 Speaker 3: time in which this technology stays relevant. 74 00:04:06,400 --> 00:04:09,360 Speaker 2: So I'm glad you're mentioning Microsoft there, because on Monday 75 00:04:09,400 --> 00:04:13,120 Speaker 2: we had a report from TD Cowen indicating that Microsoft 76 00:04:13,200 --> 00:04:16,800 Speaker 2: has canceled some leases for US data center capacity. And 77 00:04:16,880 --> 00:04:19,479 Speaker 2: with this news a lot of concern over whether or 78 00:04:19,480 --> 00:04:23,920 Speaker 2: not this company is securing more AI compute in terms 79 00:04:23,960 --> 00:04:26,560 Speaker 2: of capacity than it needs in the long term. I mean, 80 00:04:26,640 --> 00:04:28,280 Speaker 2: that seems to be a real question. 81 00:04:29,920 --> 00:04:31,760 Speaker 3: Yeah, this is another one that I think got a 82 00:04:31,800 --> 00:04:35,799 Speaker 3: little overblown. And let me tell you why the channel 83 00:04:35,880 --> 00:04:38,719 Speaker 3: checks not wrong. There is some cancelations going on in 84 00:04:38,760 --> 00:04:43,240 Speaker 3: the market, but what was not appropriately calculated in that 85 00:04:43,320 --> 00:04:48,600 Speaker 3: report was Microsoft's overbuying. And so a number of analysts 86 00:04:48,680 --> 00:04:50,400 Speaker 3: out there, and I've read some of these reports that 87 00:04:50,480 --> 00:04:53,080 Speaker 3: looked at these channel checks actually determined that if Microsoft 88 00:04:53,200 --> 00:04:56,039 Speaker 3: had not pulled back a little bit on some of 89 00:04:56,080 --> 00:04:58,719 Speaker 3: its build out, it would have been well above the 90 00:04:58,720 --> 00:05:02,159 Speaker 3: capex commitments that analysts have. So the capax is very 91 00:05:02,240 --> 00:05:04,640 Speaker 3: much attach. And actually Microsoft came out and said that 92 00:05:05,080 --> 00:05:09,280 Speaker 3: now these are you know, decade plus long buildouts that 93 00:05:09,360 --> 00:05:12,360 Speaker 3: are taking place. And while I do expect some EBB 94 00:05:12,360 --> 00:05:14,160 Speaker 3: and flow, and I do expect at some point these 95 00:05:14,160 --> 00:05:17,680 Speaker 3: returns have to come from all of this infrastructure investment, 96 00:05:18,200 --> 00:05:19,640 Speaker 3: I think the trade still intact. And one of the 97 00:05:19,640 --> 00:05:22,440 Speaker 3: thing that's worth noting about Microsoft is there is a 98 00:05:22,480 --> 00:05:25,680 Speaker 3: little bit of this movement with Stargate and the role 99 00:05:25,760 --> 00:05:29,760 Speaker 3: of open Ai, and then of course Microsoft's relationship with 100 00:05:29,760 --> 00:05:32,160 Speaker 3: open ai is pivoting. As open ai is looking at 101 00:05:32,200 --> 00:05:34,680 Speaker 3: its own chips, it's looking at more of its own infrastructure. 102 00:05:35,120 --> 00:05:37,600 Speaker 3: And so these kind of projects that are going on 103 00:05:37,720 --> 00:05:41,400 Speaker 3: in tandem are also going to impact Microsoft's builds a 104 00:05:41,400 --> 00:05:44,640 Speaker 3: little bit because Microsoft was such a provider to open 105 00:05:44,680 --> 00:05:45,760 Speaker 3: ai in its early era. 106 00:05:46,200 --> 00:05:47,720 Speaker 2: I'd like to get your view on what we heard 107 00:05:47,800 --> 00:05:51,200 Speaker 2: yesterday in terms of Apple's commitment to invest over five 108 00:05:51,279 --> 00:05:55,880 Speaker 2: hundred billion for new AI projects, particularly in Texas. A 109 00:05:55,920 --> 00:05:59,520 Speaker 2: lot of this is focused on the construction of data 110 00:05:59,560 --> 00:06:02,280 Speaker 2: center tech technology. Is this a bet that you would 111 00:06:02,480 --> 00:06:05,000 Speaker 2: want to be behind? In terms of what Apple is 112 00:06:05,040 --> 00:06:06,200 Speaker 2: doing right now? 113 00:06:06,240 --> 00:06:08,440 Speaker 3: It's really in vogue to build in the US and 114 00:06:08,600 --> 00:06:11,919 Speaker 3: President Trump that's a big focus of his. Tim Cook 115 00:06:11,920 --> 00:06:15,640 Speaker 3: and Trump. President Trump have been meeting. Clearly they've made progress. 116 00:06:15,760 --> 00:06:17,920 Speaker 3: I think there's a lot to be excited about the investment. 117 00:06:18,120 --> 00:06:21,279 Speaker 3: I'm a Texan. I love seeing companies come and build 118 00:06:21,320 --> 00:06:23,960 Speaker 3: in Texas. Having said that, I have a lot of 119 00:06:24,040 --> 00:06:27,280 Speaker 3: questions about Apple, It's AI strategy, its ability to execute. 120 00:06:27,400 --> 00:06:29,960 Speaker 3: It has made commitments in the past to build large 121 00:06:30,200 --> 00:06:35,560 Speaker 3: factories and production facilities in Wisconsin and other places that 122 00:06:35,640 --> 00:06:39,400 Speaker 3: haven't quite come to fruition. It's great when they announce, 123 00:06:39,520 --> 00:06:42,680 Speaker 3: it's better when they build, and it's even better when 124 00:06:42,720 --> 00:06:46,760 Speaker 3: they start to produce higher and create economic value through 125 00:06:46,800 --> 00:06:49,800 Speaker 3: these commitments. But it's a positive in its sentiment. 126 00:06:50,480 --> 00:06:52,120 Speaker 2: We had news here in the US late in the 127 00:06:52,160 --> 00:06:56,680 Speaker 2: day Monday on the Trump administration sketching out tougher versions 128 00:06:56,720 --> 00:07:00,680 Speaker 2: of those export curbs for semiconductors to China. This was 129 00:07:00,720 --> 00:07:04,920 Speaker 2: something that was initiated by the Biden administration. It seems 130 00:07:05,000 --> 00:07:08,599 Speaker 2: like the Trump administration wants to get tougher when you 131 00:07:08,680 --> 00:07:12,120 Speaker 2: look at US China and this war that may exist 132 00:07:12,280 --> 00:07:15,679 Speaker 2: in terms of the development and the adoption of certain 133 00:07:15,720 --> 00:07:18,520 Speaker 2: AI platforms. Is this something that the US is going 134 00:07:18,560 --> 00:07:21,040 Speaker 2: to win hands down or is there a real risk 135 00:07:21,400 --> 00:07:23,480 Speaker 2: in terms of what China is doing that we have 136 00:07:23,560 --> 00:07:27,679 Speaker 2: to be from the Western perspective on GUARD I would. 137 00:07:27,600 --> 00:07:31,640 Speaker 3: Characterize any underestimation of China and it's resolved to lead 138 00:07:31,680 --> 00:07:35,960 Speaker 3: the world in anything it does, as a mistake. I 139 00:07:36,000 --> 00:07:41,000 Speaker 3: believe that China will push the boundaries, including obtaining GPUs 140 00:07:41,040 --> 00:07:43,840 Speaker 3: potentially through gray markets, and we know there's some question 141 00:07:43,920 --> 00:07:47,280 Speaker 3: around that with deep seek. Having said that, I think 142 00:07:47,320 --> 00:07:53,080 Speaker 3: the West has found a largely an agreement, whether that's 143 00:07:53,640 --> 00:07:56,800 Speaker 3: the Dutch with ASML, whether that's Japan and Korea, whether 144 00:07:56,840 --> 00:08:00,720 Speaker 3: that's Taiwan, the US to have limited access to the 145 00:08:00,800 --> 00:08:05,480 Speaker 3: most advanced semiconductors as well as the machinery and some 146 00:08:05,560 --> 00:08:09,320 Speaker 3: of the materials required to build them. I mean, economic 147 00:08:09,400 --> 00:08:12,640 Speaker 3: prosperity for the next multiple decades is going to be 148 00:08:12,680 --> 00:08:14,840 Speaker 3: based on the parts of the world that are leading 149 00:08:14,880 --> 00:08:16,960 Speaker 3: in AI, and that's not to say other parts of 150 00:08:17,000 --> 00:08:20,120 Speaker 3: the world can't succeed. But I genuinely believe that President 151 00:08:20,120 --> 00:08:25,320 Speaker 3: Trump understands that winning an AI is critical to his presidency. 152 00:08:25,360 --> 00:08:28,800 Speaker 3: It's critical to the national security of the United States 153 00:08:28,840 --> 00:08:31,200 Speaker 3: and the West, and I do think that him and 154 00:08:31,240 --> 00:08:33,600 Speaker 3: his team are going to be steadfast to make sure 155 00:08:33,840 --> 00:08:36,680 Speaker 3: that the US does not lose its AI advantage under 156 00:08:36,679 --> 00:08:37,160 Speaker 3: his watch. 157 00:08:37,679 --> 00:08:41,200 Speaker 2: So we were talking about the AI startup and Thropic 158 00:08:41,320 --> 00:08:44,439 Speaker 2: finalizing of funding round worth about three and a half billion, 159 00:08:44,800 --> 00:08:47,440 Speaker 2: and we were told when we discover that news that 160 00:08:47,520 --> 00:08:50,199 Speaker 2: it would give Anthropic, this is the company behind the 161 00:08:50,280 --> 00:08:54,280 Speaker 2: chatbot claude evaluation of around sixty one and a half billion. 162 00:08:54,600 --> 00:08:57,400 Speaker 2: Does that seem about right to you? Are these numbers 163 00:08:57,440 --> 00:08:58,520 Speaker 2: a little inflated? 164 00:08:58,520 --> 00:08:59,800 Speaker 4: Do you think so? 165 00:09:00,480 --> 00:09:02,680 Speaker 3: It's hard to believe when you do the comps of 166 00:09:02,720 --> 00:09:06,520 Speaker 3: the well established companies that do not have sixty billion. 167 00:09:06,640 --> 00:09:09,079 Speaker 3: I mean, you know that Intel's floating around one hundred 168 00:09:09,160 --> 00:09:11,520 Speaker 3: and guess it has its problems, but it has a 169 00:09:11,559 --> 00:09:15,520 Speaker 3: fifty plus billion dollar products business and fabs all over 170 00:09:15,559 --> 00:09:19,319 Speaker 3: the world. And this company's like open AI and Anthropic 171 00:09:19,679 --> 00:09:22,679 Speaker 3: do it, you know, sub five billion dollars of revenue 172 00:09:22,679 --> 00:09:27,040 Speaker 3: and they lose money, so it is difficult at times 173 00:09:27,480 --> 00:09:31,120 Speaker 3: to understand. But I think any of us yourself myself included, 174 00:09:31,320 --> 00:09:33,960 Speaker 3: who've been around long enough, No, there's a difference between 175 00:09:34,320 --> 00:09:37,480 Speaker 3: kind of disruptive secular trendsetters and how those companies are 176 00:09:37,520 --> 00:09:43,800 Speaker 3: valuated and sort of long established enterprises. But having said 177 00:09:43,840 --> 00:09:47,160 Speaker 3: all that, I think the llms are rapidly being commoditized. 178 00:09:47,240 --> 00:09:48,040 Speaker 4: I think open. 179 00:09:47,840 --> 00:09:51,199 Speaker 3: Ai has real threats in some of the big incumbents, 180 00:09:51,600 --> 00:09:55,360 Speaker 3: including Google and open source like a meta And I 181 00:09:55,400 --> 00:09:58,960 Speaker 3: do think these valuations are quite frothy and without a 182 00:09:59,160 --> 00:10:03,839 Speaker 3: large IPO for a real uh you know, uh current 183 00:10:04,200 --> 00:10:06,360 Speaker 3: to take it to take it out to these valuations 184 00:10:06,400 --> 00:10:09,080 Speaker 3: in terms of revenue and profitability, I do think it's 185 00:10:09,160 --> 00:10:11,440 Speaker 3: risky for investors that are coming in these late rounds. 186 00:10:11,800 --> 00:10:13,760 Speaker 2: Dan, we'll leave it there. Thank you so much for 187 00:10:13,840 --> 00:10:16,479 Speaker 2: joining us and helping us look ahead to the earnings 188 00:10:16,840 --> 00:10:19,920 Speaker 2: Wednesday after the bell from Nvidia. Daniel Newman is the 189 00:10:19,920 --> 00:10:23,200 Speaker 2: CEO of Futureum Group, joining us here on the Daybreak 190 00:10:23,200 --> 00:10:34,080 Speaker 2: Asia podcast. Welcome back to the Daybreak Asia Podcast. I'm 191 00:10:34,120 --> 00:10:37,360 Speaker 2: Deek Chrisner. Stocks and Asia are moving lower. This is 192 00:10:37,400 --> 00:10:41,160 Speaker 2: after a disappointing print on us consumer confidence, and this 193 00:10:41,240 --> 00:10:43,960 Speaker 2: in turn is fueling concern about the health of the 194 00:10:44,000 --> 00:10:47,800 Speaker 2: American economy, the world's largest. We heard from Daniel Lamb, 195 00:10:47,800 --> 00:10:51,240 Speaker 2: he is head of equity strategy at Standard Chartered Wealth Solutions. 196 00:10:51,600 --> 00:10:55,440 Speaker 2: He spoke earlier with Bloomberg scherry On and Heidi Stroud Watts. 197 00:10:55,760 --> 00:10:58,400 Speaker 1: We're seeing in Nvidia sort of at the cheapest levels 198 00:10:58,480 --> 00:11:01,679 Speaker 1: going into earnings in about a year. Given the importance 199 00:11:01,760 --> 00:11:05,160 Speaker 1: of this software the broader market, could it really salvage 200 00:11:05,679 --> 00:11:08,840 Speaker 1: this equity rally that we've seen in the US, especially 201 00:11:08,880 --> 00:11:12,800 Speaker 1: after the Magnificent seven fell into correction territory Now. 202 00:11:13,559 --> 00:11:17,239 Speaker 5: Well, there are new factors at play nowadays in the markets. 203 00:11:17,640 --> 00:11:22,000 Speaker 5: So the DEEPSEK is a big factor. If you look 204 00:11:22,000 --> 00:11:27,280 Speaker 5: at the gap between Chinese equities and the mascor country 205 00:11:27,280 --> 00:11:31,680 Speaker 5: world equities, the Chinese equities are still trained at forty 206 00:11:31,679 --> 00:11:34,640 Speaker 5: five per cent discount, which is more than month standard 207 00:11:34,679 --> 00:11:40,640 Speaker 5: deviation away from the ten year average. So basically what 208 00:11:40,679 --> 00:11:45,120 Speaker 5: we're seeing is that there has been rotation of funds 209 00:11:45,160 --> 00:11:47,040 Speaker 5: from US equities. 210 00:11:46,480 --> 00:11:47,560 Speaker 4: Into Chinese ones. 211 00:11:47,760 --> 00:11:51,840 Speaker 5: So that's what's been happening in terms of the variation 212 00:11:51,960 --> 00:11:56,640 Speaker 5: that highlighted, and also the possibilities that China tech had 213 00:11:56,679 --> 00:12:00,600 Speaker 5: to offer. So before people were seeing that the US 214 00:12:00,679 --> 00:12:01,920 Speaker 5: tech is the only game in town. 215 00:12:02,040 --> 00:12:03,640 Speaker 4: Now things are a little bit different. 216 00:12:04,080 --> 00:12:07,480 Speaker 1: This is what the broader markets think. But Daniel, when 217 00:12:07,520 --> 00:12:10,400 Speaker 1: I look at your notes, you're actually pretty neutral on 218 00:12:10,480 --> 00:12:12,880 Speaker 1: Chinese equities and you still prefer the US. 219 00:12:13,240 --> 00:12:13,480 Speaker 4: Why. 220 00:12:13,960 --> 00:12:17,360 Speaker 5: Okay, So there are few things so Chinese equities overall 221 00:12:17,360 --> 00:12:21,520 Speaker 5: we're neutral, but within Chinese equities we are favorable on 222 00:12:21,640 --> 00:12:27,600 Speaker 5: the technology stocks. So it is a story of high 223 00:12:27,800 --> 00:12:33,679 Speaker 5: end versus lower end. So previously US technology the only 224 00:12:34,640 --> 00:12:39,120 Speaker 5: game in towne but now things need to be differentiated 225 00:12:39,760 --> 00:12:43,600 Speaker 5: because the Chinese deep seek shows that they're capable of 226 00:12:43,840 --> 00:12:48,840 Speaker 5: entering that tech space applied at the lower end level, 227 00:12:49,920 --> 00:12:54,360 Speaker 5: and basically people have to take account of that. In 228 00:12:54,440 --> 00:12:56,920 Speaker 5: the longer term, what we see is that the US 229 00:12:57,200 --> 00:12:59,880 Speaker 5: is still going to be dominating in the high end. 230 00:12:59,840 --> 00:13:02,160 Speaker 4: Of the tech space, right They're gonna take. 231 00:13:02,040 --> 00:13:05,240 Speaker 5: That and keep that. But then the Chinese, you know, 232 00:13:05,240 --> 00:13:08,080 Speaker 5: they do have a share of that. Okay, So right now, 233 00:13:08,120 --> 00:13:11,599 Speaker 5: because of the expensive valuation in the US tech, you 234 00:13:11,920 --> 00:13:14,120 Speaker 5: probably will see a little bit more rotation to come 235 00:13:14,559 --> 00:13:16,720 Speaker 5: in the near term, but in the long term we're favorable. 236 00:13:16,880 --> 00:13:18,560 Speaker 6: I wanted to ask a bit more about what you 237 00:13:18,600 --> 00:13:22,040 Speaker 6: say is sort of opportunistic moments in China, right, what 238 00:13:22,080 --> 00:13:23,720 Speaker 6: are you looking for the part at this point? 239 00:13:24,840 --> 00:13:27,680 Speaker 5: Well, at this moment in time, we've seen a big 240 00:13:27,760 --> 00:13:31,040 Speaker 5: rally in the Handsing index right from just below nineteen 241 00:13:31,080 --> 00:13:36,360 Speaker 5: thousand to above twenty three thousands, So that's pretty fast 242 00:13:36,400 --> 00:13:39,720 Speaker 5: and furious. So in the near term there could be 243 00:13:39,800 --> 00:13:43,080 Speaker 5: some correction, especially with the chip restriction news coming to 244 00:13:43,120 --> 00:13:43,559 Speaker 5: the US. 245 00:13:43,640 --> 00:13:45,920 Speaker 4: But then our point is. 246 00:13:45,800 --> 00:13:49,600 Speaker 5: That if you know they can make something like deep Seak, 247 00:13:50,120 --> 00:13:54,160 Speaker 5: then the box been opened, right. There are the possibilities 248 00:13:54,200 --> 00:13:59,880 Speaker 5: available for different Chinese technology sectors, So that's what will 249 00:13:59,920 --> 00:14:02,680 Speaker 5: be keeping the market going about China tech. Probably there 250 00:14:02,679 --> 00:14:05,559 Speaker 5: will be you know, some correction, but then hangs in 251 00:14:05,720 --> 00:14:08,280 Speaker 5: to about twenty one thousand and six to twenty two 252 00:14:08,280 --> 00:14:12,800 Speaker 5: thousand is good level of entry for the longer term investors. 253 00:14:13,440 --> 00:14:16,200 Speaker 6: For a longer term investor, taking a look at Indian 254 00:14:16,200 --> 00:14:18,079 Speaker 6: stocks and fifty to fifty is trading near the lowest 255 00:14:18,160 --> 00:14:22,240 Speaker 6: level since about June house the sort of sentiment there, 256 00:14:22,400 --> 00:14:24,520 Speaker 6: do you think that now kind of presents a good 257 00:14:25,920 --> 00:14:27,000 Speaker 6: value point to re. 258 00:14:27,160 --> 00:14:31,880 Speaker 5: Enter well in terms of variations back to five year 259 00:14:31,920 --> 00:14:35,040 Speaker 5: average for Indian equities right now. 260 00:14:35,280 --> 00:14:39,160 Speaker 4: I believe that the long term opportunities still exist. The 261 00:14:39,200 --> 00:14:41,240 Speaker 4: government's budget has. 262 00:14:41,160 --> 00:14:45,000 Speaker 5: Been stimulatory in various areas, so that's encouraging. 263 00:14:46,080 --> 00:14:49,160 Speaker 4: The earnings is still reasonable. But then at this moment 264 00:14:49,160 --> 00:14:49,920 Speaker 4: in time, I think. 265 00:14:49,800 --> 00:14:53,360 Speaker 5: People are just more focused on the China story right 266 00:14:53,400 --> 00:14:56,120 Speaker 5: now because it's been very quiet for a long long 267 00:14:56,160 --> 00:14:59,280 Speaker 5: time in China, so people are focusing on that. But 268 00:14:59,360 --> 00:15:01,720 Speaker 5: Indian equality, we do believe that on the twelve on 269 00:15:01,760 --> 00:15:03,360 Speaker 5: horizon there's upside from here. 270 00:15:04,160 --> 00:15:06,080 Speaker 1: On the other hand, it's been pretty noisy when it 271 00:15:06,080 --> 00:15:09,080 Speaker 1: comes to Japanese equity markets, just because of the interest 272 00:15:09,160 --> 00:15:12,760 Speaker 1: that we've seen from global investors. What will a stronger 273 00:15:12,840 --> 00:15:15,640 Speaker 1: Japanese yen mean for the equity markets here and that 274 00:15:15,800 --> 00:15:18,120 Speaker 1: rally that we saw last year, can it continue into 275 00:15:18,120 --> 00:15:19,000 Speaker 1: twenty twenty five. 276 00:15:20,040 --> 00:15:21,480 Speaker 4: I think Japanese. 277 00:15:21,080 --> 00:15:24,560 Speaker 5: Equities you've got to be more differentiative, right, So we 278 00:15:24,640 --> 00:15:29,800 Speaker 5: have a neutral overall, but in terms of the sectors, 279 00:15:30,520 --> 00:15:34,360 Speaker 5: areas that we like will be the financials because we 280 00:15:34,400 --> 00:15:36,440 Speaker 5: do see that the Bank of Japan is going to 281 00:15:36,440 --> 00:15:40,840 Speaker 5: be pretty much the only central bank that will be 282 00:15:40,920 --> 00:15:48,440 Speaker 5: tightening this year and stronger and STPU curve is favorable for. 283 00:15:48,520 --> 00:15:52,960 Speaker 1: The financials Daniel Lam, head of Equity Strategy Stander Chartered 284 00:15:53,040 --> 00:15:54,200 Speaker 1: Whilst Solutions. 285 00:15:54,240 --> 00:15:59,560 Speaker 2: There Thanks for listening to today's episode of the Bloomberg 286 00:15:59,640 --> 00:16:03,280 Speaker 2: day Break Asia Edition podcast. Each weekday, we look at 287 00:16:03,280 --> 00:16:07,760 Speaker 2: the story shaping markets, finance, and geopolitics in the Asia Pacific. 288 00:16:08,000 --> 00:16:11,320 Speaker 2: You can find us on Apple, Spotify, the Bloomberg Podcast 289 00:16:11,360 --> 00:16:14,720 Speaker 2: YouTube channel, or anywhere else you listen. Join us again 290 00:16:14,760 --> 00:16:18,080 Speaker 2: tomorrow for insight on the market moves from Hong Kong 291 00:16:18,200 --> 00:16:22,600 Speaker 2: to Singapore and Australia. I'm Doug Prisoner and this is 292 00:16:22,640 --> 00:16:23,160 Speaker 2: Bloomberg