1 00:00:02,480 --> 00:00:07,000 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:09,960 --> 00:00:13,400 Speaker 2: Welcome to the Daybreak Asia podcast. I'm Doug Krisner. Equity 3 00:00:13,440 --> 00:00:16,720 Speaker 2: trading in the Asia Pacific is being influenced today by 4 00:00:16,800 --> 00:00:20,759 Speaker 2: some after the bell earnings in the US, Alphabet among them, 5 00:00:21,280 --> 00:00:25,840 Speaker 2: reporting second quarter cloud revenue above expectations. However, at the 6 00:00:25,880 --> 00:00:29,240 Speaker 2: same time, Alphabet raised its estimate on cap X by 7 00:00:29,360 --> 00:00:32,680 Speaker 2: roughly fifteen billion to as much as two hundred and 8 00:00:32,720 --> 00:00:35,840 Speaker 2: five billion for the year. For a closer look, let's 9 00:00:35,840 --> 00:00:39,519 Speaker 2: bring in Shai Balor. Shai is chief market strategist at 10 00:00:39,560 --> 00:00:42,919 Speaker 2: Futuream Group. Shai is for the moment, based in Seattle. 11 00:00:43,159 --> 00:00:46,199 Speaker 2: Thank you for making time. Let's talk about the Alphabet 12 00:00:46,240 --> 00:00:48,159 Speaker 2: because I think that what we're going to get here 13 00:00:48,200 --> 00:00:51,879 Speaker 2: in terms of reaction in the APEC, particularly among some 14 00:00:52,000 --> 00:00:55,280 Speaker 2: of the hardware producers, is going to be driven by 15 00:00:55,320 --> 00:00:59,000 Speaker 2: this upward revision in CAPEX for Alphabet. Wouldn't you agree 16 00:00:59,000 --> 00:00:59,240 Speaker 2: with that? 17 00:01:00,640 --> 00:01:02,920 Speaker 3: Yeah, I think the semis are probably the biggest winners. 18 00:01:02,920 --> 00:01:07,039 Speaker 3: I've had to pick a group after this earnings afternoon, 19 00:01:07,040 --> 00:01:09,720 Speaker 3: because it wasn't just Google. I mean Tessa also increased 20 00:01:09,760 --> 00:01:13,399 Speaker 3: their Capex commentary as well, but on Google specifically, I 21 00:01:13,400 --> 00:01:17,720 Speaker 3: mean they Buffler capex to fifteen billion dollars. But they 22 00:01:17,760 --> 00:01:19,520 Speaker 3: didn't just stop there, like they also need some comm 23 00:01:19,560 --> 00:01:22,200 Speaker 3: tare in twenty twenty seven that they anticipate spending even 24 00:01:22,280 --> 00:01:25,880 Speaker 3: more in that year, and even after that it could 25 00:01:26,000 --> 00:01:29,480 Speaker 3: extentively grow even faster. And I also think the comm 26 00:01:29,560 --> 00:01:33,800 Speaker 3: tair on temporarily renting more expensive instruction from outside providers 27 00:01:33,840 --> 00:01:37,680 Speaker 3: because Google cannot build its own capacity fast enough. That 28 00:01:37,840 --> 00:01:40,479 Speaker 3: just shows how much of an imbalanced supply and demand 29 00:01:40,560 --> 00:01:42,280 Speaker 3: still is at this stage. 30 00:01:42,440 --> 00:01:44,520 Speaker 2: So when you mentioned the chip makers and it comes 31 00:01:44,800 --> 00:01:47,960 Speaker 2: when it comes to Alphabet, I think of the TPUs, 32 00:01:48,040 --> 00:01:52,040 Speaker 2: the tensor processing units. This is a specific chip developed 33 00:01:52,080 --> 00:01:56,680 Speaker 2: by Google for certain AI related applications. Does it necessarily 34 00:01:56,880 --> 00:02:01,840 Speaker 2: give this TPU give Alphabet a significant edge in what 35 00:02:01,920 --> 00:02:04,880 Speaker 2: we're seeing unfold now in the AI landscape. 36 00:02:06,440 --> 00:02:07,800 Speaker 3: Yeah, I mean I think you saw it in their 37 00:02:07,840 --> 00:02:11,520 Speaker 3: Google Cloud numbers. It's kind of crazy to say at 38 00:02:11,560 --> 00:02:15,120 Speaker 3: the scale that Google Cloud's at, but it's growing eighty 39 00:02:15,160 --> 00:02:17,760 Speaker 3: two percent top line, and this is now a twenty 40 00:02:17,800 --> 00:02:21,320 Speaker 3: five billion dollar business. It's actually becoming twenty percent of 41 00:02:21,400 --> 00:02:24,600 Speaker 3: the toll revenue right now, So that segment is just 42 00:02:25,840 --> 00:02:28,720 Speaker 3: growing at a rapid pace. I think it's growing several 43 00:02:28,840 --> 00:02:32,600 Speaker 3: times as fast as the surf, YouTube and services side 44 00:02:32,600 --> 00:02:35,000 Speaker 3: of their business. So I think that that eighty two 45 00:02:35,000 --> 00:02:37,680 Speaker 3: percent top line growth combined with thirty six percent operating 46 00:02:37,720 --> 00:02:42,959 Speaker 3: margins is showing that this is a real roy like 47 00:02:43,080 --> 00:02:47,680 Speaker 3: their ability to control their AI economics because they own 48 00:02:47,760 --> 00:02:51,200 Speaker 3: so much of the vertical stack is being proven in 49 00:02:51,280 --> 00:02:55,440 Speaker 3: those Google Cloud fundamentals, and I think that it's they 50 00:02:55,480 --> 00:02:56,679 Speaker 3: had a very high bar to beat. 51 00:02:57,919 --> 00:03:01,399 Speaker 4: I think seventy percent was the wisp on Google Cloud growth. 52 00:03:01,440 --> 00:03:03,679 Speaker 3: They came in at eighty two percent, and not just 53 00:03:03,760 --> 00:03:06,680 Speaker 3: that margins, the operating incomes tripled year of a year 54 00:03:06,760 --> 00:03:07,560 Speaker 3: to an eight point. 55 00:03:07,400 --> 00:03:08,200 Speaker 4: Eight billion dollars. 56 00:03:08,280 --> 00:03:11,000 Speaker 3: So I think that this is like a rare combination 57 00:03:11,080 --> 00:03:15,120 Speaker 3: of top line growth and margin expansion that is just 58 00:03:16,480 --> 00:03:18,960 Speaker 3: being proven due to their ability. 59 00:03:18,639 --> 00:03:20,680 Speaker 4: Of controlling the chip costs their TPUs. 60 00:03:20,760 --> 00:03:24,480 Speaker 3: And even though they're falling behind the benchmarks in the Gemini, 61 00:03:24,840 --> 00:03:27,799 Speaker 3: that's totally fine because really the TPU was meant for 62 00:03:28,080 --> 00:03:31,120 Speaker 3: internal use. There was a brief period where there was 63 00:03:31,200 --> 00:03:37,320 Speaker 3: such an awkward supply demand imbalanced due to the Blackwell delay, 64 00:03:37,440 --> 00:03:40,760 Speaker 3: that TPUs were starting to get entertained as an external use. 65 00:03:40,920 --> 00:03:42,920 Speaker 3: But really it was supposed to be for internal and 66 00:03:42,960 --> 00:03:45,040 Speaker 3: I think that you're showing it in the cloud margins 67 00:03:45,080 --> 00:03:48,120 Speaker 3: of how efficient they are operating. 68 00:03:48,160 --> 00:03:51,480 Speaker 2: That we also heard from Tesla after the bell second 69 00:03:51,560 --> 00:03:54,360 Speaker 2: quarter earning short of the estimate from the street. I 70 00:03:54,440 --> 00:03:57,400 Speaker 2: think adjust a DPS around thirty three cents below the 71 00:03:57,480 --> 00:04:00,680 Speaker 2: fifty one that analysts had been looking for. There was 72 00:04:00,800 --> 00:04:04,560 Speaker 2: a strong quarter of auto sales, but this company is 73 00:04:04,640 --> 00:04:07,040 Speaker 2: dealing with some other headwinds right now. What's your feeling 74 00:04:07,080 --> 00:04:09,040 Speaker 2: about what Tesla is going through at the moment. 75 00:04:10,680 --> 00:04:13,520 Speaker 3: Yeah, I mean Taesla delivered by Quarda looked excellent, like 76 00:04:13,600 --> 00:04:17,239 Speaker 3: you mentioned, on revenue deliveries, but it was substantially weaker 77 00:04:17,320 --> 00:04:21,680 Speaker 3: on the automotive profitability. I mean, they clearly sacrificed a 78 00:04:21,720 --> 00:04:24,599 Speaker 3: lot of their margins in order to fulfill that delivery 79 00:04:24,680 --> 00:04:26,960 Speaker 3: number or be on the revenue number. I also think 80 00:04:27,000 --> 00:04:29,680 Speaker 3: that their energy margins was a bit of a disappointment 81 00:04:29,839 --> 00:04:33,760 Speaker 3: as well because of a couple one off situations that occurred. 82 00:04:33,880 --> 00:04:37,279 Speaker 3: But my main takeaway from Tesla is obviously their quarter 83 00:04:37,400 --> 00:04:40,640 Speaker 3: contained two very different stories. I think the automotive business 84 00:04:40,839 --> 00:04:43,440 Speaker 3: is producing a lot stronger demand, which is great to see, 85 00:04:43,640 --> 00:04:48,600 Speaker 3: but really disappointing margins. The long term autonomy piece is 86 00:04:48,640 --> 00:04:52,360 Speaker 3: actually receiving a lot more of its commercial signals that 87 00:04:52,760 --> 00:04:54,800 Speaker 3: I was surprised to hear on the conference call through 88 00:04:54,880 --> 00:04:59,080 Speaker 3: accelering FSC adoption and some timelines that looked a little 89 00:04:59,279 --> 00:05:02,320 Speaker 3: more near term in the long term, but the automotive 90 00:05:02,320 --> 00:05:06,360 Speaker 3: gross margins, if you exclude the regulatory credits, like, that's 91 00:05:06,440 --> 00:05:10,040 Speaker 3: the reason why the stock is down after after hours 92 00:05:10,080 --> 00:05:12,960 Speaker 3: right now, it's down four percent. It's just they're sacrificing 93 00:05:12,960 --> 00:05:15,000 Speaker 3: a lot to hit those delivery numbers. And I think 94 00:05:15,040 --> 00:05:19,680 Speaker 3: they're doing so because they're seeing the adoption FSD hit 95 00:05:19,760 --> 00:05:22,760 Speaker 3: fifty five percent and they want to sacrifice the near 96 00:05:22,880 --> 00:05:25,160 Speaker 3: term margins in order to get that software margin the 97 00:05:25,320 --> 00:05:27,320 Speaker 3: FSD side of the business. 98 00:05:27,600 --> 00:05:30,599 Speaker 2: So how is this company now focused on the Chinese market, 99 00:05:30,640 --> 00:05:33,400 Speaker 2: which for a while there I think was critical. It 100 00:05:33,520 --> 00:05:36,120 Speaker 2: seems far less critical these days, and we know what 101 00:05:36,240 --> 00:05:39,719 Speaker 2: the ev story is in China and how dominant Chinese 102 00:05:39,760 --> 00:05:42,920 Speaker 2: players have become in the industry. Has Tesla kind of 103 00:05:43,240 --> 00:05:46,480 Speaker 2: relaxed its position a bit when it comes to China. 104 00:05:47,800 --> 00:05:48,160 Speaker 4: Totally? 105 00:05:48,279 --> 00:05:50,600 Speaker 3: Has I think they wave the white flag on China. 106 00:05:50,640 --> 00:05:54,480 Speaker 3: I really don't think it's really a topic of conversation anymore. 107 00:05:54,960 --> 00:05:57,360 Speaker 3: In the internal circle of Tessa. I think that they're 108 00:05:57,440 --> 00:06:00,320 Speaker 3: clearly all about Robotaxi. 109 00:06:01,279 --> 00:06:01,799 Speaker 4: Humanoid. 110 00:06:01,839 --> 00:06:05,360 Speaker 3: It's like going from that slow then fast rollout of 111 00:06:05,839 --> 00:06:09,880 Speaker 3: cybercab like energy business China. They're just like they think 112 00:06:09,920 --> 00:06:13,160 Speaker 3: it's a secondary market that is just lost already due 113 00:06:13,160 --> 00:06:16,560 Speaker 3: to the Chinese competitors that are just absolutely killing on 114 00:06:16,680 --> 00:06:19,320 Speaker 3: that front, and they just think it's a bit of 115 00:06:19,320 --> 00:06:22,240 Speaker 3: a loss, cause I don't think it's at all on 116 00:06:22,400 --> 00:06:25,320 Speaker 3: top of conversations in the internal Tessa circle. 117 00:06:25,680 --> 00:06:28,279 Speaker 2: So we also heard from IBM after the belt things 118 00:06:28,400 --> 00:06:31,600 Speaker 2: weren't not really that surprising because we had the preliminary 119 00:06:31,680 --> 00:06:35,040 Speaker 2: results last week that indicated week sales for both infrastructure 120 00:06:35,560 --> 00:06:38,040 Speaker 2: and software, and a lot of people were a little 121 00:06:38,120 --> 00:06:42,320 Speaker 2: alarmed by that as maybe an indication that AI is 122 00:06:42,960 --> 00:06:45,400 Speaker 2: the bigger issue right now and IBM has been left 123 00:06:45,440 --> 00:06:48,320 Speaker 2: out of that story. The stock was down on that 124 00:06:48,440 --> 00:06:51,520 Speaker 2: news last week about twenty five percent. When the preliminary 125 00:06:51,640 --> 00:06:54,920 Speaker 2: numbers were released today, it seemed to confirm everything that 126 00:06:55,040 --> 00:06:58,960 Speaker 2: we learned last week. Where are you in understanding the 127 00:06:59,040 --> 00:07:02,800 Speaker 2: mainframe business and whether or not it's even relevant these days. 128 00:07:03,600 --> 00:07:06,680 Speaker 4: It's still somewhat, it's still relevant. I do believe that. 129 00:07:08,720 --> 00:07:12,480 Speaker 3: The issued IBM was more of us expectations. I think 130 00:07:12,720 --> 00:07:16,080 Speaker 3: entering the preliminary guidance that they revealed like a week ago, 131 00:07:16,200 --> 00:07:18,320 Speaker 3: like the stock did run up significantly. I think that 132 00:07:19,240 --> 00:07:24,880 Speaker 3: there was maybe some commentary that Anthropic is going to 133 00:07:25,200 --> 00:07:27,720 Speaker 3: become some kind of somewhat of a tailwind for red Hat. 134 00:07:27,800 --> 00:07:30,280 Speaker 3: I think there was even some commentary today that the 135 00:07:30,320 --> 00:07:32,040 Speaker 3: CEO mentioned that it would be like a ten billion 136 00:07:32,160 --> 00:07:32,720 Speaker 3: AR tam. 137 00:07:33,400 --> 00:07:34,320 Speaker 4: For red Hat. 138 00:07:34,440 --> 00:07:36,280 Speaker 3: So like the software side of the business for IBM, 139 00:07:36,320 --> 00:07:39,920 Speaker 3: shit in theory experienced talent from AI, and there was 140 00:07:40,320 --> 00:07:42,200 Speaker 3: somewhat of a bump in the stock price heading into 141 00:07:42,240 --> 00:07:44,840 Speaker 3: those prints in anticipation that there was going to be 142 00:07:44,920 --> 00:07:49,360 Speaker 3: some kind of AI beneficiary stance, but clearly that wasn't 143 00:07:49,400 --> 00:07:52,000 Speaker 3: the case. I think that you're seeing that there was 144 00:07:52,040 --> 00:07:54,360 Speaker 3: an execution myss on the management front at IBM. 145 00:07:54,480 --> 00:07:56,360 Speaker 4: They are very upfront about that. 146 00:07:56,680 --> 00:08:00,760 Speaker 3: I think that they're going to there experiencing a couple 147 00:08:00,800 --> 00:08:02,800 Speaker 3: of headwinds that are laid in the second quarter that 148 00:08:02,880 --> 00:08:05,640 Speaker 3: they're going to focus on how to get ahead of 149 00:08:05,840 --> 00:08:09,800 Speaker 3: in the following quarters. But end of the day, like 150 00:08:09,920 --> 00:08:12,680 Speaker 3: this is a stock that just has an absolute place 151 00:08:12,720 --> 00:08:15,600 Speaker 3: in the enterprise world. It's just the stock got ahead 152 00:08:15,640 --> 00:08:17,640 Speaker 3: of itself, and I think that their guidance had to 153 00:08:17,720 --> 00:08:20,880 Speaker 3: get taken down a bit. And you're seeing it wasn't 154 00:08:20,920 --> 00:08:23,920 Speaker 3: really an enterprise issue because Service Now had a really 155 00:08:23,960 --> 00:08:27,120 Speaker 3: strong earnings report today, So this does feel like an 156 00:08:27,200 --> 00:08:30,560 Speaker 3: IBM specific issue. And if software can go back to 157 00:08:30,680 --> 00:08:33,160 Speaker 3: growing ten percent, I think that'll be fine. It's just 158 00:08:34,480 --> 00:08:37,280 Speaker 3: management even today talked about that software revenues and grows 159 00:08:37,679 --> 00:08:40,600 Speaker 3: seven percent and twenty twenty six due to several delayed 160 00:08:40,640 --> 00:08:45,120 Speaker 3: software deals. Well, it's from what we're hearing, everything right 161 00:08:45,160 --> 00:08:49,880 Speaker 3: now is going towards either these frontier models or cybersecurity. 162 00:08:50,280 --> 00:08:52,439 Speaker 3: So I think that's there's only a finite amount of 163 00:08:52,480 --> 00:08:55,959 Speaker 3: dollars that can actually be spent on these IT budgets, 164 00:08:56,000 --> 00:08:59,160 Speaker 3: and unfortunately IBM is part of the bucket where it's 165 00:08:59,600 --> 00:09:02,920 Speaker 3: not as essential as the cybersecurity in frontier spendings. 166 00:09:03,200 --> 00:09:05,680 Speaker 2: Well, what about what we've been hearing from IBM regarding 167 00:09:05,800 --> 00:09:09,040 Speaker 2: quantum computing? Is it far too early right now to 168 00:09:09,080 --> 00:09:10,679 Speaker 2: make that bed in quantum computing? 169 00:09:12,320 --> 00:09:15,120 Speaker 3: Oh, this is not this decade thing in quantum I 170 00:09:15,160 --> 00:09:17,280 Speaker 3: think quantum is going to be a twenty thirty plus thing. 171 00:09:17,520 --> 00:09:23,080 Speaker 3: I think that you're going to see sovereign spend going 172 00:09:23,120 --> 00:09:26,800 Speaker 3: towards the space. I think that's that's going to create 173 00:09:26,880 --> 00:09:31,040 Speaker 3: this illusion that it's commercially ready due to these like 174 00:09:32,160 --> 00:09:34,280 Speaker 3: a lot of these calm chair and headlines on national 175 00:09:34,320 --> 00:09:37,240 Speaker 3: spending towards quantum due to security fronts or a lot 176 00:09:37,280 --> 00:09:40,040 Speaker 3: of this like research and development's happening in quantum. But 177 00:09:40,360 --> 00:09:43,040 Speaker 3: the commercial fronts on quantum will not be until at 178 00:09:43,120 --> 00:09:46,120 Speaker 3: least twenty thirty. We're just nowhere close to that. Even then, 179 00:09:46,720 --> 00:09:49,679 Speaker 3: it's going to be an incremental thing on workloads. It's 180 00:09:49,679 --> 00:09:52,520 Speaker 3: not going to be a replacement towards AI. I just 181 00:09:52,559 --> 00:09:55,960 Speaker 3: think that right now it's purely a sovereign spend angle. 182 00:09:56,080 --> 00:09:56,760 Speaker 4: That is fine. 183 00:09:56,800 --> 00:09:58,679 Speaker 3: I mean, the peer plays, like the ion Cues of 184 00:09:58,720 --> 00:10:00,719 Speaker 3: the world, they're going to do just because they have 185 00:10:00,800 --> 00:10:02,959 Speaker 3: a smaller base, the ray of change will be more 186 00:10:03,000 --> 00:10:08,559 Speaker 3: exponential for them due to this national spending foreign sovereignty defense. 187 00:10:08,640 --> 00:10:11,400 Speaker 3: But for an IBM or Google, even a Microsoft, it's 188 00:10:11,440 --> 00:10:13,560 Speaker 3: not going to be a need to mover for a decade. 189 00:10:13,960 --> 00:10:15,520 Speaker 2: Shy, Before I let you go, I want to get 190 00:10:15,559 --> 00:10:18,920 Speaker 2: your take on what you've heard from China regarding Moonshot, 191 00:10:19,559 --> 00:10:23,880 Speaker 2: This new AI model Kimmy K three seemed to rattle 192 00:10:23,920 --> 00:10:25,840 Speaker 2: the market quite a bit. It seems like a low 193 00:10:25,960 --> 00:10:30,120 Speaker 2: cost solution to the world of large language models. Does 194 00:10:30,200 --> 00:10:34,400 Speaker 2: it represent risks to companies like let's say Open AI 195 00:10:34,600 --> 00:10:35,880 Speaker 2: or Anthropic. 196 00:10:36,720 --> 00:10:39,199 Speaker 4: Yes, both of those absolutely. I believe so. 197 00:10:39,360 --> 00:10:42,480 Speaker 3: And I think that's great for the AI economy, bad 198 00:10:42,559 --> 00:10:46,640 Speaker 3: for those two duoplies on the model fronts, because I 199 00:10:46,760 --> 00:10:48,800 Speaker 3: think that right now they have a great They're obviously 200 00:10:48,840 --> 00:10:50,880 Speaker 3: have a ton of mind share and a great first 201 00:10:50,920 --> 00:10:54,520 Speaker 3: mover advantage. But I think you're seeing signs that there's 202 00:10:54,679 --> 00:10:57,559 Speaker 3: going to be a lot of creative ways to get 203 00:10:57,760 --> 00:11:01,400 Speaker 3: around the duopli bottlen that those two companies have, and 204 00:11:01,520 --> 00:11:04,440 Speaker 3: I think that that's going to be great for everyone 205 00:11:04,559 --> 00:11:06,599 Speaker 3: else because I think the clearest sign and that to 206 00:11:06,760 --> 00:11:11,400 Speaker 3: me after this Kimmy K three revelation, is that they 207 00:11:11,440 --> 00:11:14,480 Speaker 3: are computes constrain even right now. And I think that 208 00:11:14,960 --> 00:11:17,960 Speaker 3: it's really interesting that they're compete constraint right now because 209 00:11:18,520 --> 00:11:21,080 Speaker 3: Kimmy K three has already been trained, So the ball 210 00:11:21,200 --> 00:11:23,199 Speaker 3: next now peering when the companies try to serve the 211 00:11:23,240 --> 00:11:26,520 Speaker 3: model to users. At scale rather than while it's trying 212 00:11:26,520 --> 00:11:28,360 Speaker 3: to build that model. So that to me is like 213 00:11:28,520 --> 00:11:31,880 Speaker 3: the clearest signal that the next phase of the AI 214 00:11:32,000 --> 00:11:34,600 Speaker 3: cycle is going to be like driven by less number 215 00:11:34,679 --> 00:11:39,199 Speaker 3: of companies and more on like dozens thousands of other 216 00:11:39,280 --> 00:11:42,240 Speaker 3: companies that are going to be requesting more billions of 217 00:11:42,320 --> 00:11:45,959 Speaker 3: daily requests flowing through those models instead of just everything 218 00:11:46,000 --> 00:11:48,120 Speaker 3: going through these two models. So I think bad for 219 00:11:48,200 --> 00:11:51,120 Speaker 3: those two companies, but great for AI infrastructure companies. 220 00:11:51,160 --> 00:11:52,599 Speaker 2: All right, Chi, well leave it there, Thank you so 221 00:11:52,720 --> 00:11:55,960 Speaker 2: very much. Shaibalu Or is a chief market strategistic Future 222 00:11:56,000 --> 00:11:59,280 Speaker 2: and group joining from Seattle here on the Daybreak Asia podcast. 223 00:12:06,679 --> 00:12:09,520 Speaker 2: Welcome back to the Daybreak Asia Podcast. I'm Derek Prisner. 224 00:12:09,840 --> 00:12:13,480 Speaker 2: Semiconductor related stocks in the Asia Pacific or trading higher. 225 00:12:13,600 --> 00:12:17,800 Speaker 2: That's after Alphabet raised its estimate on capital spending, and 226 00:12:17,960 --> 00:12:22,360 Speaker 2: that's where we begin our conversation with Vikas. Pershad Vicos 227 00:12:22,600 --> 00:12:26,679 Speaker 2: is Asian equities portfolio manager at MNG Investments. He spoke 228 00:12:26,760 --> 00:12:30,080 Speaker 2: with Bloomberg TV host Sherry On and Heidi Stroud Watts. 229 00:12:30,240 --> 00:12:31,040 Speaker 5: We have a very. 230 00:12:31,080 --> 00:12:34,160 Speaker 1: Nuanced AI trade right now coming from the US. Right 231 00:12:34,200 --> 00:12:36,600 Speaker 1: when it comes to Alphabet, we saw this major cloud beat, 232 00:12:36,720 --> 00:12:40,040 Speaker 1: we had Tesla disappointing, we had IBM cutting guidance. How 233 00:12:40,040 --> 00:12:42,880 Speaker 1: does that necessarily translate into the Asian trade? 234 00:12:45,600 --> 00:12:48,160 Speaker 6: I'm warning Shoy it's a good place to start. There 235 00:12:48,200 --> 00:12:50,920 Speaker 6: are a few takeaways from the Google announcements. For me, 236 00:12:51,400 --> 00:12:55,360 Speaker 6: The first one is that the increase in capex should 237 00:12:55,480 --> 00:12:58,000 Speaker 6: come as a surprise. But for those who are expecting 238 00:12:58,120 --> 00:13:00,559 Speaker 6: the seven hundred and fifty billion dollars to grow perhaps 239 00:13:00,600 --> 00:13:02,959 Speaker 6: to a trillion dollars from the big five spenders in 240 00:13:03,000 --> 00:13:06,000 Speaker 6: the US for calendar twenty seven or maybe even early 241 00:13:06,080 --> 00:13:08,760 Speaker 6: twenty eight on a twelve month view, we're probably not 242 00:13:08,800 --> 00:13:11,880 Speaker 6: heading towards that number yet. That's number one. Second, we've 243 00:13:11,920 --> 00:13:14,199 Speaker 6: been investing not directly in the pix and shovels of 244 00:13:14,280 --> 00:13:16,600 Speaker 6: the AI trade this year, but the pixe and shovels 245 00:13:16,679 --> 00:13:18,920 Speaker 6: of those picton shovels. So what does that mean is 246 00:13:18,960 --> 00:13:22,520 Speaker 6: that we're looking for beneficiaries or companies that will benefit 247 00:13:23,000 --> 00:13:26,360 Speaker 6: even if the overall hyperscalar CAPEX pool doesn't grow very much. 248 00:13:26,440 --> 00:13:29,760 Speaker 6: So optical networking company, photonics based companies, some of the 249 00:13:29,800 --> 00:13:34,160 Speaker 6: advanced packaging companies. The underlying shifts and technology underway that's 250 00:13:34,200 --> 00:13:35,599 Speaker 6: what we're looking for in Asia. There are plenty of 251 00:13:35,600 --> 00:13:39,360 Speaker 6: opportunities still at this stage of the AI trade that 252 00:13:39,400 --> 00:13:41,199 Speaker 6: we've seen over the past four years. Also, what I 253 00:13:41,240 --> 00:13:43,880 Speaker 6: would say is that there's a lot of noise these days, 254 00:13:43,920 --> 00:13:45,960 Speaker 6: but if you look back, let's say you go back 255 00:13:46,000 --> 00:13:47,400 Speaker 6: to the April of last year when we had the 256 00:13:47,600 --> 00:13:53,000 Speaker 6: Trump tariffs released across the world, there have been a 257 00:13:53,080 --> 00:13:57,160 Speaker 6: few genuine signals. One of the real signals in recent 258 00:13:57,200 --> 00:13:59,599 Speaker 6: months was last week or over the weekend. With the 259 00:14:00,240 --> 00:14:02,800 Speaker 6: three model, our view is that there's going to be 260 00:14:02,840 --> 00:14:05,880 Speaker 6: a divergence between compute and memory demand. Computer is going 261 00:14:05,920 --> 00:14:09,680 Speaker 6: to become more efficient, and so we're revisiting our holdings 262 00:14:09,720 --> 00:14:11,920 Speaker 6: in the memory sector where we had been quite overweight 263 00:14:12,000 --> 00:14:15,280 Speaker 6: last year. We have been overweight in more recent months, 264 00:14:15,320 --> 00:14:17,280 Speaker 6: but we were revisiting that. So a lot to look 265 00:14:17,320 --> 00:14:20,760 Speaker 6: at in Asia. But I would say that the overall 266 00:14:20,800 --> 00:14:25,560 Speaker 6: takeaway is that we might see a deceleration in AI capecks, 267 00:14:25,640 --> 00:14:28,960 Speaker 6: hyperscaler capex, but that doesn't change the opportunity set for 268 00:14:29,080 --> 00:14:30,240 Speaker 6: long term active managers. 269 00:14:31,600 --> 00:14:34,080 Speaker 1: Yeah, it's very layered and nuanced to what you're saying 270 00:14:34,160 --> 00:14:36,880 Speaker 1: right now. Right, I mean, if we see a slowdown 271 00:14:36,960 --> 00:14:39,840 Speaker 1: because of what's happening across China. You will revisit memory, 272 00:14:39,920 --> 00:14:41,960 Speaker 1: but at the same time you're actually investing in the 273 00:14:41,960 --> 00:14:46,440 Speaker 1: picks and shovels of the picks and shovels. So for 274 00:14:46,560 --> 00:14:49,920 Speaker 1: investors who want to sort of unpack this, are there 275 00:14:49,960 --> 00:14:53,960 Speaker 1: any regions or markets where you would find more opportunities 276 00:14:54,200 --> 00:14:57,600 Speaker 1: And when it comes to future investments, would you go 277 00:14:57,800 --> 00:15:01,440 Speaker 1: into the Chinese tech sector itself as well, despite, of course, 278 00:15:01,520 --> 00:15:04,080 Speaker 1: some of the more fundamental issues with that economy. 279 00:15:07,120 --> 00:15:07,280 Speaker 5: Yes. 280 00:15:07,440 --> 00:15:10,240 Speaker 6: So to answer your last question first, whether an investor 281 00:15:10,320 --> 00:15:13,840 Speaker 6: is looking to allocate more capital to AI and tech 282 00:15:13,920 --> 00:15:17,520 Speaker 6: and hardware or just the economy, the companies of the future, 283 00:15:18,200 --> 00:15:19,760 Speaker 6: or if you just want to understand what's happening in 284 00:15:19,800 --> 00:15:21,560 Speaker 6: the world. I do think that you need to start 285 00:15:21,600 --> 00:15:25,280 Speaker 6: with China. The center of gravity of AI has already 286 00:15:25,360 --> 00:15:27,960 Speaker 6: been shifting towards Asia over the past few years. That 287 00:15:28,160 --> 00:15:31,880 Speaker 6: shift is accelerating, and it's moving from hardware and memory 288 00:15:32,200 --> 00:15:34,680 Speaker 6: to now the models themselves. If you look at the 289 00:15:34,760 --> 00:15:37,640 Speaker 6: recent announcements a recent being over the past year or so, 290 00:15:38,280 --> 00:15:41,160 Speaker 6: first from deep Seek in January February last year, and 291 00:15:41,280 --> 00:15:45,240 Speaker 6: now from Moonshot just a few days ago. The pace 292 00:15:45,320 --> 00:15:48,640 Speaker 6: of the acceleration in Chinese tech development is astonishing and 293 00:15:48,760 --> 00:15:51,600 Speaker 6: that will have implications for all the sectors that that touches. 294 00:15:52,160 --> 00:15:54,480 Speaker 6: So yes, we're spending more time in rellocating more capital 295 00:15:54,840 --> 00:15:59,880 Speaker 6: to accelerators GPU accelerators in China, to the semiconductor production 296 00:16:00,000 --> 00:16:03,800 Speaker 6: equipment companies in China. And also all this capital location 297 00:16:04,000 --> 00:16:06,840 Speaker 6: and the time and the research spent on China is 298 00:16:07,520 --> 00:16:10,760 Speaker 6: yielding a lot of learnings for Japanese companies, for Taiwanese 299 00:16:10,800 --> 00:16:13,920 Speaker 6: and Korean companies, many of whom are now more vulnerable 300 00:16:14,320 --> 00:16:16,080 Speaker 6: than they have been in the past. So there is 301 00:16:16,400 --> 00:16:18,680 Speaker 6: a shift underway in our portfolio, is a little bit 302 00:16:18,760 --> 00:16:21,840 Speaker 6: more caution on some of the North Asian names outside 303 00:16:21,840 --> 00:16:25,120 Speaker 6: of China, and more constructive views on China. Despite the 304 00:16:25,200 --> 00:16:29,000 Speaker 6: headline top down slowdown that we are seeing, there's a 305 00:16:29,080 --> 00:16:31,400 Speaker 6: very broad opportunity set in China and it's not just 306 00:16:31,440 --> 00:16:35,240 Speaker 6: about Ai. Same thing goes for other markets Japan. We 307 00:16:35,400 --> 00:16:37,520 Speaker 6: remain very constructive. Even though we're more than a decade 308 00:16:38,160 --> 00:16:41,320 Speaker 6: past the launch of Abbi's arrows. This might be the 309 00:16:41,400 --> 00:16:44,680 Speaker 6: most slowly reprising equity story in the world. The corporate 310 00:16:44,720 --> 00:16:47,560 Speaker 6: governance transformation in Japan if we look at India, some 311 00:16:47,640 --> 00:16:50,040 Speaker 6: stability in Q two after one of the worst quarters 312 00:16:50,080 --> 00:16:52,320 Speaker 6: for Indian equities in Q one, and there's a lot 313 00:16:52,360 --> 00:16:54,440 Speaker 6: to like in India as well. Seven thousand listed companies, 314 00:16:54,760 --> 00:16:56,640 Speaker 6: almost two thousand with a market cap over one hundred 315 00:16:56,640 --> 00:16:59,920 Speaker 6: million dollars. Every sector you can imagine is listed in India. 316 00:17:00,000 --> 00:17:02,680 Speaker 6: So the big three markets in Asia remain very exciting 317 00:17:02,720 --> 00:17:05,680 Speaker 6: for us. If we've taken some capital away in recent 318 00:17:05,920 --> 00:17:09,320 Speaker 6: weeks and months, it's been from to the other large 319 00:17:09,480 --> 00:17:11,520 Speaker 6: markets in North Asia, that's Taiwan and South Korea. 320 00:17:13,080 --> 00:17:15,080 Speaker 5: Because do you think there's now a tech stock put 321 00:17:15,280 --> 00:17:18,160 Speaker 5: in China with the national team returning with intervention. 322 00:17:21,240 --> 00:17:24,520 Speaker 6: It's a fair question. I would err on the side 323 00:17:24,560 --> 00:17:28,440 Speaker 6: of saying yes. And so when we look at valuations 324 00:17:28,680 --> 00:17:30,960 Speaker 6: in China, why are they so much higher now than 325 00:17:30,960 --> 00:17:32,760 Speaker 6: they have been in recent years. It's because of the 326 00:17:32,800 --> 00:17:35,320 Speaker 6: acceleration and tech spending. It's the acceleration of the progress 327 00:17:35,680 --> 00:17:39,359 Speaker 6: that we're seeing. Coming into this year, the expectations for 328 00:17:39,880 --> 00:17:44,920 Speaker 6: w wafer fab equipment expenditures was seen to be about 329 00:17:45,040 --> 00:17:49,840 Speaker 6: one hundred and twenty billion dollars with flatish growth or 330 00:17:49,960 --> 00:17:53,480 Speaker 6: limited growth in China six months into the year, we're 331 00:17:53,480 --> 00:17:57,800 Speaker 6: seeing very significant increases to those estimates overall, but especially 332 00:17:57,880 --> 00:17:59,960 Speaker 6: so in China. And so this is why the premium 333 00:18:00,119 --> 00:18:04,199 Speaker 6: are expanding for Chinese companies. But it's not just scarcity premium. 334 00:18:04,400 --> 00:18:07,200 Speaker 6: These companies are doing well. They're taking shared the Japanese 335 00:18:07,240 --> 00:18:09,680 Speaker 6: and Taiwanese and Korean companies that we speak to, whether 336 00:18:09,720 --> 00:18:13,719 Speaker 6: they are wayfer companies, spe companies, even memory companies now 337 00:18:13,760 --> 00:18:18,359 Speaker 6: acknowledge that there are vulnerabilities in their business models on 338 00:18:18,440 --> 00:18:21,840 Speaker 6: a longer term view, whether it's DM HBM or conventional 339 00:18:21,920 --> 00:18:26,119 Speaker 6: memory or nand or the etching and deposition equipment in 340 00:18:26,200 --> 00:18:28,760 Speaker 6: which the Japanese and the American companies have been leaders 341 00:18:28,800 --> 00:18:31,280 Speaker 6: for a long time. So yes, start with China, spend 342 00:18:31,359 --> 00:18:34,600 Speaker 6: time there, understand what's going on. And again it's not 343 00:18:34,720 --> 00:18:37,560 Speaker 6: just Ai. Pretty much anything that is happening within China 344 00:18:38,119 --> 00:18:41,000 Speaker 6: is touching sectors that has happened sectors outside of China, 345 00:18:41,040 --> 00:18:45,159 Speaker 6: whether you look at healthcare, pharma and biotech, defense, aerospace, 346 00:18:45,720 --> 00:18:49,320 Speaker 6: and then of course autos, ancillaries, renewables, the list is very, 347 00:18:49,440 --> 00:18:49,800 Speaker 6: very long. 348 00:18:51,840 --> 00:18:53,359 Speaker 5: I guess the question is when it comes to the 349 00:18:53,600 --> 00:18:58,119 Speaker 5: broader landscape for Chinese equities, it's helpful to have national 350 00:18:58,200 --> 00:19:01,720 Speaker 5: policy support right, and of course national AI ambitions as well, 351 00:19:01,840 --> 00:19:06,320 Speaker 5: But do you require a strong economic fundamental situation which 352 00:19:06,400 --> 00:19:09,480 Speaker 5: perhaps hasn't come through yet with the recent slowdown. 353 00:19:12,600 --> 00:19:15,680 Speaker 6: It wouldn't hurt. But if you look at our China 354 00:19:15,680 --> 00:19:19,840 Speaker 6: strategies and our portfolios in China, the top holdings are 355 00:19:19,880 --> 00:19:23,040 Speaker 6: not AI related companies. It's a very broad opportunity set 356 00:19:23,080 --> 00:19:26,160 Speaker 6: that we're seeing. We're seeing single digpees, double digit free 357 00:19:26,160 --> 00:19:31,720 Speaker 6: cash flow yields, high and rising dividend yields, reasonable earnings growth, 358 00:19:32,080 --> 00:19:35,080 Speaker 6: very smart capital allocation, much smarter than than we've seen 359 00:19:35,160 --> 00:19:37,920 Speaker 6: over the past five, ten, fifteen, twenty years. And so 360 00:19:38,000 --> 00:19:42,240 Speaker 6: our portfolio in China, the largest exposures are in banks, 361 00:19:42,840 --> 00:19:45,640 Speaker 6: in shipbuilders, in some of the retailers. Yes, of course 362 00:19:45,680 --> 00:19:48,400 Speaker 6: we do have exposure to tech tech hardware, and we're 363 00:19:48,440 --> 00:19:50,880 Speaker 6: doing our work on a broader universe of names as well. 364 00:19:51,160 --> 00:19:53,399 Speaker 6: But the opportunity to set again in China is very 365 00:19:53,480 --> 00:19:56,280 Speaker 6: broad for long term active managers. This is the right 366 00:19:56,320 --> 00:19:58,879 Speaker 6: time to look at China. If you look at China's 367 00:19:58,880 --> 00:20:02,200 Speaker 6: contribution to global trade and the global economy on one side, 368 00:20:02,640 --> 00:20:08,520 Speaker 6: there's a material dislocation between that and the allocation global 369 00:20:08,640 --> 00:20:11,960 Speaker 6: to Chinese equities in global portfolios, and we think that 370 00:20:12,040 --> 00:20:14,440 Speaker 6: that should normalize over time, and if it doesn't, it 371 00:20:14,560 --> 00:20:17,479 Speaker 6: just extends the opportunity set for long term managers like us. 372 00:20:19,040 --> 00:20:21,320 Speaker 1: Because before we let you go just super quickly, I 373 00:20:21,400 --> 00:20:23,880 Speaker 1: wanted your take on what we're seeing from the BOJ 374 00:20:24,440 --> 00:20:27,920 Speaker 1: sources selling Bloomberg that they could actually consider going even 375 00:20:28,000 --> 00:20:32,520 Speaker 1: at a faster rate when paced when hiking rates. Would 376 00:20:32,520 --> 00:20:35,200 Speaker 1: that alter your investment case for Japan? 377 00:20:38,280 --> 00:20:40,560 Speaker 6: Not really. We've seen the end go from one hundred 378 00:20:41,080 --> 00:20:44,280 Speaker 6: or actually around the time of Abbe's eras being launched 379 00:20:44,400 --> 00:20:48,160 Speaker 6: around eighty to now one sixty. We don't share, as 380 00:20:48,160 --> 00:20:50,040 Speaker 6: you know, we don't invest in the market. We invest 381 00:20:50,080 --> 00:20:53,320 Speaker 6: in stocks. We're not ignorant of the macro. At the margin. 382 00:20:53,400 --> 00:20:56,280 Speaker 6: It might impact how we see some of the exporters perhaps, 383 00:20:56,600 --> 00:20:58,040 Speaker 6: but our view is if you do your homework and 384 00:20:58,080 --> 00:20:59,560 Speaker 6: you bet on the right management teams with the right 385 00:20:59,600 --> 00:21:02,400 Speaker 6: business man in the right unit economics, you'll win over time. 386 00:21:02,920 --> 00:21:05,400 Speaker 6: But as you mentioning just before I came on on air, 387 00:21:06,200 --> 00:21:08,680 Speaker 6: there is a credibility question, so we'll see how the 388 00:21:08,760 --> 00:21:12,000 Speaker 6: market perceives this. They're being transparent. The headlines are out there, 389 00:21:12,000 --> 00:21:14,119 Speaker 6: but the end continues to weekend, so we do have 390 00:21:14,200 --> 00:21:16,280 Speaker 6: an eye on that, but it does not change our 391 00:21:16,320 --> 00:21:18,560 Speaker 6: long term enthusiasm for Japanese equities. 392 00:21:18,720 --> 00:21:22,720 Speaker 2: That was Vikas Pershad Asian Equities portfolio manager at m 393 00:21:22,800 --> 00:21:26,440 Speaker 2: ANDNG Investments, speaking earlier with Bloomberg TV host Sherry On 394 00:21:26,560 --> 00:21:29,760 Speaker 2: and Heidi Stroud Watts, bringing you their conversation here on 395 00:21:29,840 --> 00:21:35,840 Speaker 2: the Daybreak Asia Podcast. Thanks for listening to today's episode 396 00:21:35,960 --> 00:21:39,960 Speaker 2: of the Bloomberg Daybreak Asia Edition podcast. Each weekday, we 397 00:21:40,040 --> 00:21:43,879 Speaker 2: look at the story shaping markets, finance, and geopolitics in 398 00:21:43,960 --> 00:21:47,080 Speaker 2: the Asia Pacific. You can find us on Apple, Spotify, 399 00:21:47,240 --> 00:21:50,720 Speaker 2: the Bloomberg Podcast YouTube channel, or anywhere else you listen. 400 00:21:51,160 --> 00:21:54,040 Speaker 2: Join us again tomorrow for insight on the market moves 401 00:21:54,160 --> 00:21:58,640 Speaker 2: from Hong Kong to Singapore and Australia. I'm Doug Prisoner 402 00:21:58,840 --> 00:21:59,959 Speaker 2: and this is bloomb