1 00:00:00,040 --> 00:00:07,000 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. 2 00:00:10,360 --> 00:00:13,800 Speaker 2: Welcome to the Daybreak Asia podcast. I'm Doug Prisner. In 3 00:00:13,840 --> 00:00:16,440 Speaker 2: the APAC region, markets seem to be struggling a bit 4 00:00:16,480 --> 00:00:19,759 Speaker 2: today after some weakness in US equities. There's been a 5 00:00:19,760 --> 00:00:24,279 Speaker 2: fair amount of stress over how artificial intelligence will disrupt 6 00:00:24,440 --> 00:00:28,560 Speaker 2: various businesses. Software companies, as we know have been punished. 7 00:00:28,960 --> 00:00:33,320 Speaker 2: Add to that list publishers and financial services firms, even 8 00:00:33,400 --> 00:00:37,560 Speaker 2: commercial real estate. Now today we had logistics companies thinking 9 00:00:37,640 --> 00:00:43,040 Speaker 2: on concern over how AI could disintermediate trucking brokers. That said, 10 00:00:43,080 --> 00:00:46,000 Speaker 2: there still remains a little bit of bullishness in Asia 11 00:00:46,040 --> 00:00:50,040 Speaker 2: as it relates to the region's tech hardware suppliers. Obviously 12 00:00:50,159 --> 00:00:52,479 Speaker 2: that is a very much tied to the story on 13 00:00:52,640 --> 00:00:55,760 Speaker 2: artificial intelligence. For a bit more, let's bring in Bloomberg's 14 00:00:55,800 --> 00:00:58,520 Speaker 2: Winnie Sue. She is a member of the team covering 15 00:00:58,680 --> 00:01:01,640 Speaker 2: Asian equities and WHINNI joined from our studios in Hong Kong. 16 00:01:01,800 --> 00:01:04,039 Speaker 2: There's so much to talk about. I know, I you've 17 00:01:04,040 --> 00:01:07,960 Speaker 2: written a piece today that basically takes a closer look 18 00:01:08,000 --> 00:01:11,800 Speaker 2: at some of the points I just made, right, Yeah, exactly. 19 00:01:11,640 --> 00:01:14,160 Speaker 3: You know, because we were just looking at how the 20 00:01:14,319 --> 00:01:17,880 Speaker 3: US has been really disrupted by this whole AI story 21 00:01:17,920 --> 00:01:20,319 Speaker 3: from one sector to another. It seems like a lot 22 00:01:20,360 --> 00:01:23,480 Speaker 3: of fight going on within the market trying to find 23 00:01:23,520 --> 00:01:26,959 Speaker 3: out who the bigger, biggest losers are. But in Asia 24 00:01:27,000 --> 00:01:31,160 Speaker 3: it's actually the opposite. Many investors are saying that, you know, 25 00:01:31,480 --> 00:01:34,640 Speaker 3: the struggles in the downstream that we're seeing right now 26 00:01:34,640 --> 00:01:38,200 Speaker 3: in the US is actually good news for the upstream 27 00:01:38,240 --> 00:01:41,760 Speaker 3: exposure that we have in Asia, especially for the likes 28 00:01:41,760 --> 00:01:44,479 Speaker 3: of South Korea and also Taiwan. So when you look 29 00:01:44,520 --> 00:01:47,240 Speaker 3: at the week's performance, yes, a bit of weakness today, 30 00:01:47,240 --> 00:01:50,720 Speaker 3: but actually while the US is pretty much flat or 31 00:01:50,760 --> 00:01:54,280 Speaker 3: actually down a little bit, in Asia we have record 32 00:01:54,440 --> 00:01:58,480 Speaker 3: high every single session throughout the past four sessions. So 33 00:01:58,560 --> 00:02:00,840 Speaker 3: that speaks a lot to kind of just where we 34 00:02:00,880 --> 00:02:03,480 Speaker 3: are positioned for Asia. And speaking of some of the 35 00:02:03,520 --> 00:02:06,840 Speaker 3: factors one you mentioned how we are positioned upstream, we 36 00:02:06,880 --> 00:02:10,640 Speaker 3: have a lot of AI exposed, name especially the memory 37 00:02:10,639 --> 00:02:14,760 Speaker 3: ones right with Samsung and s k Heinix've also got TSMC, 38 00:02:14,880 --> 00:02:17,560 Speaker 3: which also came out with pretty strong sales number for 39 00:02:17,760 --> 00:02:20,760 Speaker 3: January a few days ago. And on top of that, 40 00:02:20,840 --> 00:02:23,400 Speaker 3: when you look at some of the sectors that really 41 00:02:23,400 --> 00:02:26,560 Speaker 3: struggle in the US, for example, you were talking about software, 42 00:02:26,600 --> 00:02:31,280 Speaker 3: and also real estate and interest even interestingly, for example, 43 00:02:31,360 --> 00:02:36,119 Speaker 3: in Japan, you're seeing these old school real estate companies. 44 00:02:36,160 --> 00:02:40,080 Speaker 3: They're just not as they haven't adopted as much AHI 45 00:02:40,240 --> 00:02:43,000 Speaker 3: in their systems just yet, and people say that it 46 00:02:43,080 --> 00:02:46,240 Speaker 3: takes them way longer to be able to adopt that. 47 00:02:46,440 --> 00:02:50,000 Speaker 3: So any disruption in the AI front actually is a 48 00:02:50,000 --> 00:02:52,840 Speaker 3: blessing for them at the moment, just because they actually 49 00:02:52,960 --> 00:02:56,240 Speaker 3: have been still very old fashioned and very traditional. So 50 00:02:56,320 --> 00:02:58,560 Speaker 3: some of these factors kind of helping them as well. 51 00:02:58,760 --> 00:03:01,720 Speaker 2: You mentioned the memory make I was struck today by 52 00:03:02,040 --> 00:03:05,440 Speaker 2: Lenovo Group saying it's expecting the crunch in the memory 53 00:03:05,480 --> 00:03:09,080 Speaker 2: chip market to affect the global hardware industry for the 54 00:03:09,120 --> 00:03:11,919 Speaker 2: rest of the year. So this sounds like it's kind 55 00:03:11,919 --> 00:03:13,520 Speaker 2: of a critical part of the story. 56 00:03:14,680 --> 00:03:18,799 Speaker 3: Yeah, exactly right now, that memory crunch story is something 57 00:03:18,800 --> 00:03:22,520 Speaker 3: that we're really chasing as we see impact felt across 58 00:03:22,840 --> 00:03:28,200 Speaker 3: markets and across sectors. Just now you mentioned the PC sector. Actually, 59 00:03:28,360 --> 00:03:32,600 Speaker 3: very interestingly, Lenovo had their earnings out yesterday. The results 60 00:03:32,639 --> 00:03:37,640 Speaker 3: were quite good because they're seeing buyers or users rushing 61 00:03:37,680 --> 00:03:41,840 Speaker 3: into the market to pile up their PCs ahead of 62 00:03:41,920 --> 00:03:46,680 Speaker 3: this memory price hike, and that's pretty much a front loading, 63 00:03:46,720 --> 00:03:50,720 Speaker 3: but they are expecting to be further struggling with this 64 00:03:51,160 --> 00:03:53,800 Speaker 3: with their gross margin when it comes to the memory 65 00:03:53,840 --> 00:03:57,680 Speaker 3: price hike, and it's not just the PCs, it's also 66 00:03:57,840 --> 00:04:02,040 Speaker 3: smartphonemakers and also the likes of evs. The other day 67 00:04:02,080 --> 00:04:05,120 Speaker 3: we also heard from Shelmi saying that they are expecting 68 00:04:05,280 --> 00:04:09,400 Speaker 3: the memory price hike to also affect their margins as well. 69 00:04:09,760 --> 00:04:13,040 Speaker 3: So when it comes to the memory crunch story, we 70 00:04:13,080 --> 00:04:15,880 Speaker 3: are also seeing a divergence in markets. On one hand, 71 00:04:15,880 --> 00:04:19,640 Speaker 3: you're seeing these memory chip users being hit and we're 72 00:04:19,680 --> 00:04:24,320 Speaker 3: talking about the global consumer electronics sectors down about thirteen 73 00:04:24,360 --> 00:04:27,000 Speaker 3: percent or so in the past few months. But on 74 00:04:27,040 --> 00:04:30,440 Speaker 3: the other hand, the memory makers are really taking off 75 00:04:30,760 --> 00:04:34,320 Speaker 3: from this. We were looking at Kiyokxia for example, I 76 00:04:34,400 --> 00:04:38,359 Speaker 3: believe one thousand percent in the past year due to 77 00:04:38,560 --> 00:04:42,599 Speaker 3: this factor. And also some of the smaller names in Taiwan, 78 00:04:42,920 --> 00:04:47,280 Speaker 3: power chip, machronics, you name it up like tripling or 79 00:04:47,320 --> 00:04:50,680 Speaker 3: even quadrupling their share prices. 80 00:04:50,760 --> 00:04:52,640 Speaker 2: So here in the States after the bill, maybe you 81 00:04:52,680 --> 00:04:57,520 Speaker 2: saw Applied Materials with that surprisingly upbeat sales forecast. This 82 00:04:57,960 --> 00:05:00,599 Speaker 2: seems to indicate to me that there is still healthy 83 00:05:00,640 --> 00:05:04,719 Speaker 2: demand for the equipment that's needed to produce AI chips 84 00:05:04,760 --> 00:05:08,480 Speaker 2: and memory semiconductors. So this is also a story I 85 00:05:08,520 --> 00:05:11,440 Speaker 2: would think that links to what we heard recently from 86 00:05:11,680 --> 00:05:16,360 Speaker 2: TSMC and their plans to continue to build out capacity. 87 00:05:16,440 --> 00:05:20,880 Speaker 3: Right, yeah, exactly, So the demand site seems to be 88 00:05:21,000 --> 00:05:25,920 Speaker 3: still quite strong, especially like you mentioned, there's also Jensen 89 00:05:25,920 --> 00:05:28,760 Speaker 3: Wang from Nvidia coming out and saying that this whole 90 00:05:28,960 --> 00:05:33,520 Speaker 3: HEAYPAX building is still very sustainable and actually very feasible. 91 00:05:33,760 --> 00:05:38,560 Speaker 3: Also Micron yesterday, I believe also their CFO was saying 92 00:05:38,600 --> 00:05:43,000 Speaker 3: that they still expect this memory crunch to continue, and 93 00:05:43,040 --> 00:05:47,560 Speaker 3: hence you're seeing all these KPEX spending to continue to 94 00:05:47,640 --> 00:05:52,080 Speaker 3: pour into AI. Although you know, the question is how 95 00:05:52,200 --> 00:05:54,839 Speaker 3: much of an economic benefit it's going to come out 96 00:05:54,839 --> 00:05:58,760 Speaker 3: from this, But at least so far for Asia, because 97 00:05:58,839 --> 00:06:03,719 Speaker 3: we make so many of these equipments that's necessary for 98 00:06:03,920 --> 00:06:06,920 Speaker 3: the KPEX spending and for the AI built out, so far, 99 00:06:07,000 --> 00:06:10,360 Speaker 3: we're still kind of that beneficiary of these big spendings. 100 00:06:10,520 --> 00:06:12,560 Speaker 2: Before I let you go, I want to talk about 101 00:06:12,560 --> 00:06:15,680 Speaker 2: the Lunar New Year holiday, which I know begins next week. 102 00:06:16,200 --> 00:06:18,960 Speaker 2: China will be closed for the entire week. I think 103 00:06:18,960 --> 00:06:21,479 Speaker 2: Hong Kong has a few days of holiday, give me 104 00:06:21,560 --> 00:06:24,880 Speaker 2: your sense, Winny, of what we are likely to see 105 00:06:24,920 --> 00:06:27,520 Speaker 2: in terms of spending from consumers. 106 00:06:28,240 --> 00:06:32,240 Speaker 3: Well, so far, there seems to be some optimism when 107 00:06:32,240 --> 00:06:34,960 Speaker 3: it comes to the holiday, just because lunariear is such 108 00:06:35,040 --> 00:06:38,599 Speaker 3: a big wine in both Men and China and for 109 00:06:38,760 --> 00:06:42,680 Speaker 3: Hong Kong. So definitely some expectation for spending to pick up, 110 00:06:42,720 --> 00:06:46,760 Speaker 3: and that's why you're seeing that rotation from tech into 111 00:06:46,839 --> 00:06:50,400 Speaker 3: consumers ahead of Lunar New Year, with the likes of 112 00:06:50,920 --> 00:06:55,800 Speaker 3: retail and restaurants, airlines all picking up. So that definitely 113 00:06:55,920 --> 00:06:58,440 Speaker 3: is the highlight of the year when it comes to 114 00:06:58,520 --> 00:07:02,279 Speaker 3: consumer spending. But when you look at the broader picture 115 00:07:02,400 --> 00:07:06,520 Speaker 3: overall that we demand still remains quite weak. We saw 116 00:07:06,600 --> 00:07:11,160 Speaker 3: that from this week's CPI numbers as well, actually believe 117 00:07:11,360 --> 00:07:14,280 Speaker 3: zero point two percent versus an estimate of point four 118 00:07:14,360 --> 00:07:18,040 Speaker 3: percent increase. So that goes to show how while this 119 00:07:18,240 --> 00:07:21,280 Speaker 3: holiday might show quite a pickup, overall, the demand is 120 00:07:21,360 --> 00:07:24,200 Speaker 3: still weak. But when you talk about Lunar near another 121 00:07:24,280 --> 00:07:27,240 Speaker 3: thing that I want to kind of bring into attention 122 00:07:27,560 --> 00:07:31,440 Speaker 3: is this red packet war that's going on among these 123 00:07:31,520 --> 00:07:36,920 Speaker 3: Chinese internet companies. So the likes of Tencent bands. They 124 00:07:37,040 --> 00:07:41,520 Speaker 3: are really trying to give out these coupons and subsidies 125 00:07:41,560 --> 00:07:45,240 Speaker 3: to their users to ask them to use their AI apps. 126 00:07:45,360 --> 00:07:49,440 Speaker 3: So basically they want to secure more customers for these 127 00:07:49,600 --> 00:07:53,680 Speaker 3: AI apps that goes really across a range of services 128 00:07:53,720 --> 00:07:56,800 Speaker 3: including a food delivery, ticket buying, or even if you 129 00:07:56,920 --> 00:07:59,320 Speaker 3: just ask a question on their AI bod. So you 130 00:07:59,320 --> 00:08:02,360 Speaker 3: can see that these internet companies really trying to pivot 131 00:08:02,360 --> 00:08:05,120 Speaker 3: and to invest further in AI. So that's also what 132 00:08:05,120 --> 00:08:07,640 Speaker 3: we're going to be watching out closely, as some expect 133 00:08:07,720 --> 00:08:12,360 Speaker 3: that there might be a deep Seek next model coming 134 00:08:12,400 --> 00:08:14,080 Speaker 3: out during the Chinese New Year. 135 00:08:14,440 --> 00:08:16,400 Speaker 2: Thank you so much, Can I say Happy New Year? 136 00:08:16,960 --> 00:08:18,640 Speaker 4: Yes, Happy New Year, Happy New Year. 137 00:08:18,760 --> 00:08:21,840 Speaker 2: Winnie Sue a member of the team covering Asian equities, 138 00:08:21,920 --> 00:08:24,880 Speaker 2: joining from Hong Kong. Here on the Daybreak Asia podcast. 139 00:08:32,280 --> 00:08:35,200 Speaker 2: Welcome back to the Daybreak Asia podcast. I'm Doug Prisner. 140 00:08:35,559 --> 00:08:39,160 Speaker 2: The US and Taiwan have finalized a trade agreement. It 141 00:08:39,240 --> 00:08:42,720 Speaker 2: will reduce tariffs on goods from Taiwan. It will also 142 00:08:42,880 --> 00:08:46,320 Speaker 2: boost access for American goods in Taiwan's market. This will 143 00:08:46,320 --> 00:08:50,720 Speaker 2: include liquefied natural gas and crude oil. Here is Bloomberg's 144 00:08:50,760 --> 00:08:52,400 Speaker 2: Laura Davison in Hong Kong. 145 00:08:52,600 --> 00:08:54,720 Speaker 5: This deal has a lot of details when it comes 146 00:08:54,760 --> 00:08:58,679 Speaker 5: to the purchasing of energy goods or agricultural products, but 147 00:08:58,679 --> 00:09:01,120 Speaker 5: there aren't a lot of specifics here about the chip 148 00:09:01,480 --> 00:09:04,760 Speaker 5: pledges that were discussed last month when this deal was 149 00:09:04,760 --> 00:09:08,320 Speaker 5: initially announced. Those aren't really enumerated here in the in 150 00:09:08,360 --> 00:09:10,640 Speaker 5: the paper that was signed today. This is, you know, 151 00:09:10,720 --> 00:09:12,400 Speaker 5: suggests that there could be a risk and that the 152 00:09:12,800 --> 00:09:15,600 Speaker 5: understanding of two sides of both the Taiwanese government and 153 00:09:15,600 --> 00:09:18,120 Speaker 5: the US government aren't exactly on the same page here. 154 00:09:18,120 --> 00:09:22,040 Speaker 5: And we've seen President Johnald Trump get particularly perturbed when 155 00:09:22,080 --> 00:09:25,840 Speaker 5: some of these things, you know, aren't moving to his understanding, 156 00:09:25,880 --> 00:09:28,280 Speaker 5: even if that isn't necessarily the broader global understanding of 157 00:09:28,320 --> 00:09:30,120 Speaker 5: how these deals work. We saw just a couple of 158 00:09:30,160 --> 00:09:33,200 Speaker 5: weeks ago with the South Korean trade deal that was cut, 159 00:09:33,440 --> 00:09:35,200 Speaker 5: you know, not too long ago, that Trump felt like 160 00:09:35,440 --> 00:09:37,840 Speaker 5: that the implementation of the investments weren't coming quick enough, 161 00:09:37,960 --> 00:09:41,240 Speaker 5: and he threatened to increase tariffs on South Korean. We 162 00:09:41,320 --> 00:09:44,600 Speaker 5: also saw also this week with the US NCAA, the 163 00:09:44,640 --> 00:09:47,440 Speaker 5: North American Trade pack that Trump actually cut himself in 164 00:09:47,520 --> 00:09:48,200 Speaker 5: his first term. 165 00:09:48,480 --> 00:09:50,120 Speaker 4: Now that there's a deadline. 166 00:09:49,720 --> 00:09:51,679 Speaker 5: For renegotiation, he says he might want to pull out 167 00:09:51,679 --> 00:09:54,000 Speaker 5: of those packed altogether. So there's risks both in the 168 00:09:54,040 --> 00:09:56,000 Speaker 5: short term and in the long term that these that 169 00:09:56,040 --> 00:09:57,360 Speaker 5: these deals may not be durable. 170 00:09:58,440 --> 00:10:01,760 Speaker 2: That was Bloomberg's Laura Davidson, as I mentioned a moment ago. 171 00:10:01,960 --> 00:10:05,160 Speaker 2: Asian equities are struggling a bit after weakness and US 172 00:10:05,240 --> 00:10:09,440 Speaker 2: equities given some fears about more AI disruption, and that's 173 00:10:09,440 --> 00:10:13,240 Speaker 2: where we begin our conversation with Julia Wong. Julia is 174 00:10:13,440 --> 00:10:17,760 Speaker 2: North Asia CIO at Nomura International Wealth Management, and she 175 00:10:17,840 --> 00:10:21,160 Speaker 2: spoke with Bloomberg TV host Sherry On and April Hong. 176 00:10:21,440 --> 00:10:25,359 Speaker 6: So we did see US markets really hard hit overnight, 177 00:10:25,559 --> 00:10:28,920 Speaker 6: maybe a semblance of calm is returning. Now, what do 178 00:10:28,960 --> 00:10:31,280 Speaker 6: you make of this and the extent in which this 179 00:10:31,440 --> 00:10:34,240 Speaker 6: could inform the moves for Asia at a time where 180 00:10:34,280 --> 00:10:37,080 Speaker 6: we have been seeing the correlation between Asia and US 181 00:10:37,320 --> 00:10:40,800 Speaker 6: stock markets perhaps a bit different from what it used 182 00:10:40,840 --> 00:10:43,120 Speaker 6: to be. 183 00:10:43,080 --> 00:10:45,640 Speaker 7: Being sure, good morning, thanks for having me, so, yeah, 184 00:10:45,640 --> 00:10:48,320 Speaker 7: of course, I think just picking up on the AI, 185 00:10:48,640 --> 00:10:51,679 Speaker 7: we definitely think that you know, look, you know, there 186 00:10:51,800 --> 00:10:55,840 Speaker 7: is a contradiction, you know, when it comes to what 187 00:10:56,000 --> 00:10:59,040 Speaker 7: investors our word about when it comes to AI. On 188 00:10:59,080 --> 00:11:01,320 Speaker 7: the one hand, there's a fear that AI is not 189 00:11:01,400 --> 00:11:05,560 Speaker 7: monetizing quite quickly enough. On the other hand, there is 190 00:11:05,679 --> 00:11:08,559 Speaker 7: massive evidence that investors are word about sectors that are 191 00:11:08,559 --> 00:11:11,640 Speaker 7: disrupted too quickly for comfort. So those two things come 192 00:11:11,880 --> 00:11:14,120 Speaker 7: both be true at the same time. So I think 193 00:11:14,120 --> 00:11:15,880 Speaker 7: that just goes to show that there is a lot 194 00:11:15,920 --> 00:11:19,440 Speaker 7: of sense that we're in uncharged territory when it comes 195 00:11:19,440 --> 00:11:22,920 Speaker 7: to how this technology will develop and investors are you know, 196 00:11:22,920 --> 00:11:26,440 Speaker 7: to borrow one of your phrase earlier there should should 197 00:11:26,440 --> 00:11:29,800 Speaker 7: first and ask questions later. That I think means a 198 00:11:29,800 --> 00:11:32,680 Speaker 7: lot of volativity probably is still on the way for us. 199 00:11:33,240 --> 00:11:36,000 Speaker 7: It also means that for a longer term investors, it's 200 00:11:36,040 --> 00:11:39,400 Speaker 7: time to really go to the fundamentals of companies because 201 00:11:39,440 --> 00:11:42,920 Speaker 7: a lot of opportunities could actually start to emerge when 202 00:11:42,960 --> 00:11:44,360 Speaker 7: the market sell off in a. 203 00:11:44,320 --> 00:11:45,160 Speaker 4: Panic like this. 204 00:11:45,760 --> 00:11:48,200 Speaker 7: So when it comes to Asia, I think that you know, 205 00:11:48,320 --> 00:11:52,720 Speaker 7: Asia actually does not really necessarily share the same type 206 00:11:52,720 --> 00:11:55,840 Speaker 7: of issue that maybe you know, US investors when it 207 00:11:55,840 --> 00:11:59,080 Speaker 7: comes to AI are fearing at the moment valuation is 208 00:11:59,120 --> 00:12:02,600 Speaker 7: not too high and this is not overly concentrated broadly, 209 00:12:02,640 --> 00:12:05,199 Speaker 7: for Asia, there's a lot of other sectors to play for, 210 00:12:06,320 --> 00:12:10,600 Speaker 7: and you know, it's the spending is not excessive. In fact, 211 00:12:10,640 --> 00:12:13,000 Speaker 7: I think spending could probably still ramp up in the 212 00:12:13,000 --> 00:12:15,200 Speaker 7: coming years. So I think that, And we're also in 213 00:12:15,240 --> 00:12:17,160 Speaker 7: a different part of the supply chain when it comes 214 00:12:17,160 --> 00:12:20,400 Speaker 7: to AI, not so exposed to sectors that are sitting 215 00:12:20,400 --> 00:12:24,000 Speaker 7: on to some extent very high profit margin post COVID. 216 00:12:24,320 --> 00:12:26,080 Speaker 4: So I do think that, you know, AI is. 217 00:12:26,160 --> 00:12:28,680 Speaker 7: A much different Asia is a much more different place 218 00:12:29,080 --> 00:12:31,040 Speaker 7: when it comes to when it comes to some of 219 00:12:31,080 --> 00:12:33,960 Speaker 7: these fears in AI, and actually from that angle could 220 00:12:33,960 --> 00:12:37,600 Speaker 7: be an even better diversification a play for investors who 221 00:12:37,640 --> 00:12:39,199 Speaker 7: want to invest in this long term thing. 222 00:12:40,200 --> 00:12:42,800 Speaker 1: Perhaps Also, the fears about disruption are different because the 223 00:12:42,880 --> 00:12:45,600 Speaker 1: concerns that are plaguing in some of these tech companies 224 00:12:45,600 --> 00:12:48,480 Speaker 1: are different, the likes of Baydo Ali Baba for example, 225 00:12:48,480 --> 00:12:52,520 Speaker 1: in Chinese tech. Not necessarily cannibalization being a problem there, 226 00:12:52,559 --> 00:12:56,160 Speaker 1: but the fact that monetization is still an issue, could 227 00:12:56,160 --> 00:12:56,959 Speaker 1: that be a risk. 228 00:12:59,000 --> 00:13:01,200 Speaker 7: Well, I think that you know, China is to some 229 00:13:01,360 --> 00:13:04,960 Speaker 7: degree of you know, at earlier at the earlier stage 230 00:13:05,000 --> 00:13:08,960 Speaker 7: when it comes with AI Capex rampop because they have constraints, right, 231 00:13:09,040 --> 00:13:12,320 Speaker 7: So they have constraint on chips, they have constrained on talent, 232 00:13:12,640 --> 00:13:15,840 Speaker 7: so I think their pace of development is lower. That 233 00:13:16,000 --> 00:13:18,440 Speaker 7: also means that the rampop is still a way ahead 234 00:13:18,480 --> 00:13:20,679 Speaker 7: of us. We have I think a couple of years 235 00:13:20,840 --> 00:13:24,040 Speaker 7: where AI rampop will steadily increase for the big tech 236 00:13:24,120 --> 00:13:27,679 Speaker 7: companies in China. And they're so laser focused on monetization. 237 00:13:27,840 --> 00:13:30,560 Speaker 7: You're right, they can't afford to really throw money at 238 00:13:30,600 --> 00:13:32,720 Speaker 7: the problem. They have to really make sure every step 239 00:13:32,760 --> 00:13:35,640 Speaker 7: on the way is generating an ROE for investors. 240 00:13:35,720 --> 00:13:36,760 Speaker 4: That's actually a good thing. 241 00:13:36,840 --> 00:13:39,280 Speaker 7: It means that it's a steady, long term play on AI. 242 00:13:39,640 --> 00:13:41,760 Speaker 4: And also, I think when it comes to China. 243 00:13:41,520 --> 00:13:44,760 Speaker 7: Tech, don't forget that the opportunity for China tech is 244 00:13:44,800 --> 00:13:49,840 Speaker 7: really in the automation, industrial robotic space. It's whole industry, 245 00:13:49,920 --> 00:13:54,120 Speaker 7: whole economy approach rather than just focus on end consumers 246 00:13:54,240 --> 00:13:55,640 Speaker 7: or you know, advertising. 247 00:13:55,679 --> 00:13:57,360 Speaker 4: So I think that is a. 248 00:13:57,400 --> 00:14:01,079 Speaker 7: Much broader, maybe slower moving path because the whole manufacturing 249 00:14:01,080 --> 00:14:03,200 Speaker 7: sector has to move with it. But I think that 250 00:14:03,240 --> 00:14:07,439 Speaker 7: it has the possibility of creating more longer lasting lift 251 00:14:07,520 --> 00:14:10,120 Speaker 7: for productivity. So I think that you know, at the 252 00:14:10,200 --> 00:14:13,840 Speaker 7: moment these companies are maybe selling off you know, getting 253 00:14:13,840 --> 00:14:16,760 Speaker 7: a compass is broad fear about AI, but really their 254 00:14:16,760 --> 00:14:19,640 Speaker 7: business model are quite different. They're much more early stage 255 00:14:19,800 --> 00:14:22,480 Speaker 7: earning hasn't really started to show up these AI benefits. 256 00:14:22,720 --> 00:14:25,280 Speaker 7: So I think that actually for long term investors, these 257 00:14:25,480 --> 00:14:26,880 Speaker 7: companies are pretty interesting. 258 00:14:29,200 --> 00:14:33,160 Speaker 6: How exactly are you positioning them for these Chinese techniques 259 00:14:33,200 --> 00:14:35,440 Speaker 6: and the time where we are seeing sort of bifurcation 260 00:14:36,080 --> 00:14:40,440 Speaker 6: between the US and China in terms of AI models 261 00:14:40,480 --> 00:14:43,760 Speaker 6: as well. Right they we're hearing about how open AI 262 00:14:44,080 --> 00:14:47,680 Speaker 6: is accusing Deep Sea of distilling from these US models. 263 00:14:49,760 --> 00:14:50,560 Speaker 4: Yeah, so I. 264 00:14:50,520 --> 00:14:54,480 Speaker 7: Think, you know, it's the way we approach them is 265 00:14:54,520 --> 00:14:57,600 Speaker 7: that we look at what the market I worried about. 266 00:14:57,600 --> 00:14:58,480 Speaker 4: The market is worried. 267 00:14:58,320 --> 00:15:00,720 Speaker 7: About some of the near term headway when it comes 268 00:15:00,760 --> 00:15:06,280 Speaker 7: to the spillover from a very slow economic recovery, maybe 269 00:15:06,320 --> 00:15:10,640 Speaker 7: some political policy changes that worry about geopolitics trips. They're 270 00:15:10,680 --> 00:15:14,000 Speaker 7: also worried about this spillover from AI, all of from 271 00:15:14,040 --> 00:15:16,680 Speaker 7: the US trade. So all of these are negative headwinds 272 00:15:16,680 --> 00:15:18,560 Speaker 7: for China take in the short term, and that's why 273 00:15:18,600 --> 00:15:20,840 Speaker 7: the index is done pretty badly since the beginning of 274 00:15:20,840 --> 00:15:23,920 Speaker 7: the years. Really lacks among the other peers in Asia. 275 00:15:23,960 --> 00:15:26,480 Speaker 7: But I think that the longer term media, the longer 276 00:15:26,560 --> 00:15:28,200 Speaker 7: term fundamentals are actually pretty good. 277 00:15:28,880 --> 00:15:30,560 Speaker 4: The index have the decent. 278 00:15:30,400 --> 00:15:34,120 Speaker 7: Companies have sold out to even more attractive values. As 279 00:15:34,160 --> 00:15:36,840 Speaker 7: long as you think that AI is the longer term 280 00:15:36,920 --> 00:15:39,600 Speaker 7: growth trajectory, we think that there's no question that China 281 00:15:39,640 --> 00:15:41,760 Speaker 7: has to go all in on AI. And there's no 282 00:15:41,880 --> 00:15:45,880 Speaker 7: question of these companies sits at the critical point between 283 00:15:46,480 --> 00:15:50,040 Speaker 7: the technology and the end users, be it businesses or consumers. 284 00:15:50,040 --> 00:15:51,720 Speaker 4: They control the distribution channel. 285 00:15:51,920 --> 00:15:54,960 Speaker 7: All of the large language model value creation eventually will 286 00:15:55,000 --> 00:15:58,040 Speaker 7: have to accrue to these platform companies. It's the competition 287 00:15:58,200 --> 00:16:01,320 Speaker 7: landscape is entirely different from the US, so I think 288 00:16:01,320 --> 00:16:04,280 Speaker 7: they start to benefit significantly from AI, and that's yet 289 00:16:04,280 --> 00:16:04,600 Speaker 7: to come. 290 00:16:05,880 --> 00:16:09,320 Speaker 1: Julia, we've alluded slightly to the geopolitical risks around tech, 291 00:16:09,520 --> 00:16:11,920 Speaker 1: and we of course continue to watch the latest headlines 292 00:16:11,960 --> 00:16:14,520 Speaker 1: around trade, whether it's President Trump threatening all of these 293 00:16:14,560 --> 00:16:17,640 Speaker 1: tariffs on the likes of South Korea, Canada, Europe. Right 294 00:16:17,680 --> 00:16:20,480 Speaker 1: now we're hearing that when it comes to conversations with Japan. 295 00:16:20,560 --> 00:16:24,320 Speaker 1: The chief trade negotiator A Kazawa, speaking in Washington about 296 00:16:24,320 --> 00:16:26,480 Speaker 1: this five hundred and fifty billion dollar fund that of 297 00:16:26,480 --> 00:16:29,200 Speaker 1: course they have committed into the US that they're talking 298 00:16:29,200 --> 00:16:32,920 Speaker 1: about those first projects. The conversation with the Common Secretary 299 00:16:32,920 --> 00:16:37,720 Speaker 1: of Lutnik at more than eighty minutes or so. 300 00:16:37,840 --> 00:16:39,080 Speaker 4: Japan has a new mandate. 301 00:16:39,320 --> 00:16:44,160 Speaker 1: With the prime ministers sweeping election victory, the yen seems 302 00:16:44,200 --> 00:16:48,760 Speaker 1: pretty stable. How big are these geopolitical concerns for the 303 00:16:48,800 --> 00:16:51,000 Speaker 1: country and the broader markets at a time when we 304 00:16:51,040 --> 00:16:53,680 Speaker 1: have seen an incredible rally in the Japanese stock market 305 00:16:54,080 --> 00:16:57,200 Speaker 1: given the improvements over governance and so forth. 306 00:16:59,040 --> 00:17:02,480 Speaker 7: I think that japan fundamental case has gotten way stronger 307 00:17:02,600 --> 00:17:07,040 Speaker 7: since the election because political stability was one big issue 308 00:17:07,040 --> 00:17:10,080 Speaker 7: for overseas investors the last twelve months and that just 309 00:17:10,119 --> 00:17:14,280 Speaker 7: got solved. So Takaichi Prime Minister has a mandate for growth, 310 00:17:14,520 --> 00:17:16,600 Speaker 7: and that's very clear from her election victory. 311 00:17:16,680 --> 00:17:18,080 Speaker 4: So we think she will go for growth. 312 00:17:18,359 --> 00:17:20,439 Speaker 7: She will go for growth, and she has many tools 313 00:17:20,440 --> 00:17:23,680 Speaker 7: to manage all the other spillovers or risks and marketing 314 00:17:23,720 --> 00:17:26,359 Speaker 7: a word about be it f facts or JGB yield. 315 00:17:26,600 --> 00:17:28,639 Speaker 7: You know, when you have a political stability, when you 316 00:17:28,680 --> 00:17:31,320 Speaker 7: have a strong leadership, you can manage these risks because 317 00:17:31,320 --> 00:17:34,120 Speaker 7: now you have credibility from the election, so we think 318 00:17:34,160 --> 00:17:37,960 Speaker 7: she has a clear mandate now to go for fiscal policy, 319 00:17:38,119 --> 00:17:41,119 Speaker 7: to go for industualization, to go for some of the 320 00:17:41,160 --> 00:17:43,560 Speaker 7: things I really want to spend down to increase the 321 00:17:43,600 --> 00:17:45,480 Speaker 7: pet productivity growth for the future. 322 00:17:45,640 --> 00:17:46,520 Speaker 4: So she can go for. 323 00:17:46,520 --> 00:17:50,040 Speaker 7: That, and we don't think that necessarily trade risk per se, 324 00:17:50,200 --> 00:17:52,480 Speaker 7: it's so much of a problem. But I do think 325 00:17:52,480 --> 00:17:55,359 Speaker 7: that the currency volatility always play into the Japan market, 326 00:17:55,880 --> 00:17:59,760 Speaker 7: and a dollar n has decoupled somewhat from nick last 327 00:17:59,800 --> 00:18:02,560 Speaker 7: few last few days, so that's something we're watching, maybe 328 00:18:02,560 --> 00:18:05,560 Speaker 7: at a short term risk to market. 329 00:18:06,840 --> 00:18:07,040 Speaker 4: Dah. 330 00:18:07,040 --> 00:18:10,520 Speaker 6: I suppose Japan isn't the only country that is going 331 00:18:10,720 --> 00:18:14,920 Speaker 6: pro growth and spurring things along with some fiscal policy. 332 00:18:15,560 --> 00:18:18,159 Speaker 6: What is the risk of spurring inflation, and do we 333 00:18:18,240 --> 00:18:23,560 Speaker 6: have to this year perhaps reassess our assumptions of re cuts. 334 00:18:25,640 --> 00:18:27,200 Speaker 4: I think that's a very good question. 335 00:18:27,280 --> 00:18:30,000 Speaker 7: To some degrees already start to happen, right because you 336 00:18:30,040 --> 00:18:33,320 Speaker 7: see the RBA has high rate, You see that the 337 00:18:33,880 --> 00:18:37,720 Speaker 7: US is clearly at the tail end of the easing cycle. 338 00:18:38,560 --> 00:18:39,560 Speaker 4: That's the consensus. 339 00:18:40,240 --> 00:18:43,480 Speaker 7: More economies are central bankers are saying they're not in 340 00:18:43,480 --> 00:18:44,399 Speaker 7: a comfortable place. 341 00:18:44,400 --> 00:18:46,440 Speaker 4: They don't have to do anything. They can just watch. 342 00:18:46,840 --> 00:18:47,960 Speaker 4: So clearly I. 343 00:18:47,880 --> 00:18:50,520 Speaker 7: Think that that's already come into play, and that's because 344 00:18:50,600 --> 00:18:53,760 Speaker 7: the reaction, the policy reaction function is different for different 345 00:18:53,840 --> 00:18:57,200 Speaker 7: central banks. Some of them are just watching for inflation, 346 00:18:57,359 --> 00:18:59,959 Speaker 7: so they are more hawkash, right like the RBA, like 347 00:19:00,040 --> 00:19:01,840 Speaker 7: you know, maybe they aren't that as well, are being 348 00:19:01,920 --> 00:19:04,359 Speaker 7: there as well. Some of them are have a mandate 349 00:19:04,400 --> 00:19:06,400 Speaker 7: for the labor market. In the case of the US, 350 00:19:07,119 --> 00:19:09,800 Speaker 7: job growth is you know, if after revision is close 351 00:19:09,840 --> 00:19:12,200 Speaker 7: to zero the last couple of last couple of quarters, 352 00:19:12,440 --> 00:19:15,719 Speaker 7: which means that it's an expansion without job growth. And 353 00:19:15,760 --> 00:19:18,399 Speaker 7: if you're the fact and your mandate is inflation and 354 00:19:18,480 --> 00:19:21,439 Speaker 7: job growth, job growth has downside risks, something you have 355 00:19:21,520 --> 00:19:24,120 Speaker 7: to watch and take into consideration. So I don't think 356 00:19:24,160 --> 00:19:27,200 Speaker 7: it necessarily means that races are going to go higher 357 00:19:27,240 --> 00:19:30,320 Speaker 7: across the board. I think divergence is the way we 358 00:19:30,400 --> 00:19:33,639 Speaker 7: would play it, and that means that you know, for 359 00:19:34,000 --> 00:19:39,120 Speaker 7: economies where you know they are economies where cyclical factors 360 00:19:39,160 --> 00:19:41,800 Speaker 7: are good and policy rate are being hyped. Actually that 361 00:19:41,920 --> 00:19:46,679 Speaker 7: means that effects and race angle is actually a diversification 362 00:19:46,760 --> 00:19:50,520 Speaker 7: play for many investors. Australia, for example, is a diversification, 363 00:19:50,520 --> 00:19:54,000 Speaker 7: A very good diversification play because of the rape policy, 364 00:19:54,040 --> 00:19:55,840 Speaker 7: rate divergence versus the US. 365 00:19:56,119 --> 00:19:59,200 Speaker 2: That was Julia Wan North Asia CIO at No More 366 00:19:59,359 --> 00:20:03,480 Speaker 2: International Wealth Management speaking with Bloomberg TV host Sherryon and 367 00:20:03,560 --> 00:20:06,760 Speaker 2: April Hong, bringing you that conversation right here on the 368 00:20:06,800 --> 00:20:14,399 Speaker 2: Daybreak Asia Podcast. Thanks for listening to today's episode of 369 00:20:14,440 --> 00:20:18,520 Speaker 2: the Bloomberg Daybreak Asia Edition podcast. Each weekday, we look 370 00:20:18,560 --> 00:20:22,359 Speaker 2: at the story shaping markets, finance, and geopolitics in the 371 00:20:22,400 --> 00:20:25,639 Speaker 2: Asia Pacific. You can find us on Apple, Spotify, the 372 00:20:25,680 --> 00:20:29,680 Speaker 2: Bloomberg Podcast YouTube channel, or anywhere else you listen. Join 373 00:20:29,800 --> 00:20:32,800 Speaker 2: us again tomorrow for insight on the market moves from 374 00:20:32,800 --> 00:20:37,280 Speaker 2: Hong Kong to Singapore and Australia. I'm Doug Chrisner, and 375 00:20:37,400 --> 00:20:38,560 Speaker 2: this is Bloomberg