1 00:00:00,120 --> 00:00:10,480 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. This is the Bloomberg 2 00:00:10,520 --> 00:00:13,720 Speaker 1: Daybreak Aisia podcast. I'm Doug Krisner. You can join Brian 3 00:00:13,800 --> 00:00:16,640 Speaker 1: Curtis and myself for the stories making news and moving 4 00:00:16,680 --> 00:00:19,560 Speaker 1: markets in the APEC region. You can subscribe to the 5 00:00:19,600 --> 00:00:23,080 Speaker 1: show anywhere you get your podcast and always on Bloomberg Radio, 6 00:00:23,320 --> 00:00:26,120 Speaker 1: the Bloomberg Terminal, and the Bloomberg Business App. 7 00:00:27,000 --> 00:00:29,040 Speaker 2: Joining us now on the program to take a closer 8 00:00:29,080 --> 00:00:33,120 Speaker 2: look at Nvidia is Louis Novellier, who is chairman and 9 00:00:33,240 --> 00:00:37,239 Speaker 2: founder of Navalier and Associates. So, Louis, there wasn't a 10 00:00:37,320 --> 00:00:41,440 Speaker 2: lot of nervousness leading into this print by Nvidia because 11 00:00:41,840 --> 00:00:45,040 Speaker 2: the hyperscalers had already told us that they were buying 12 00:00:45,080 --> 00:00:48,920 Speaker 2: big time in Vidia chips. But going forward, is that 13 00:00:49,159 --> 00:00:51,360 Speaker 2: still the most important thing to watch or are there 14 00:00:51,400 --> 00:00:54,520 Speaker 2: some other metrics that you have that will tip us 15 00:00:54,600 --> 00:00:59,400 Speaker 2: on if and when business actually slows. 16 00:00:59,040 --> 00:01:03,120 Speaker 3: Well, certainly, with two hundred and sixty two percent sales growth, 17 00:01:03,160 --> 00:01:05,080 Speaker 3: obviously they're not going to be able to sustain that 18 00:01:05,200 --> 00:01:10,399 Speaker 3: much longer. Even super microcomputers slowing their sales. They're going 19 00:01:10,400 --> 00:01:13,080 Speaker 3: from two one hundred and forty five percent next quarter. 20 00:01:13,840 --> 00:01:17,640 Speaker 3: But I the order book is strong, the margins are ridiculous. 21 00:01:18,360 --> 00:01:22,360 Speaker 3: The Blackwell chip is finally going to get implemented. That's 22 00:01:22,360 --> 00:01:25,560 Speaker 3: a given a nice little turbo boost. It really boils 23 00:01:25,600 --> 00:01:27,760 Speaker 3: down to how fast they can put all this in 24 00:01:27,800 --> 00:01:32,000 Speaker 3: the cloud and build all these great new data centers 25 00:01:32,360 --> 00:01:35,440 Speaker 3: so we can do AI via the cloud. And of 26 00:01:35,480 --> 00:01:40,839 Speaker 3: course there's also a rush to boost electricity to fuel 27 00:01:40,880 --> 00:01:45,520 Speaker 3: all this, and so there's a lot of plays socio 28 00:01:45,520 --> 00:01:48,720 Speaker 3: of AI. But it remains very healthy and we just 29 00:01:48,760 --> 00:01:51,560 Speaker 3: went into extra innings on the AI rally today. 30 00:01:51,800 --> 00:01:54,280 Speaker 1: What is your sense on the degree to which AI 31 00:01:54,440 --> 00:01:58,000 Speaker 1: is being adopted, how quickly that's occurring. Jensen Wog during 32 00:01:58,440 --> 00:02:02,200 Speaker 1: the conference call with analyst was talking about an expansion 33 00:02:02,240 --> 00:02:07,280 Speaker 1: into consumer internet companies, enterprise, sovereign AI, automotive healthcare. I 34 00:02:07,280 --> 00:02:09,840 Speaker 1: mean it seems to be spreading out. Do you have 35 00:02:09,880 --> 00:02:12,280 Speaker 1: a sense of the rate of change or the rate 36 00:02:12,320 --> 00:02:12,880 Speaker 1: of adoption? 37 00:02:14,720 --> 00:02:16,160 Speaker 4: Oh, it's unbelievable. 38 00:02:16,240 --> 00:02:20,160 Speaker 3: I think the biggest problem is the way they're doing AI. 39 00:02:20,919 --> 00:02:25,000 Speaker 3: Not everybody should do it the really fancy way. I 40 00:02:25,080 --> 00:02:27,440 Speaker 3: have friends that are in the chip business and they 41 00:02:27,440 --> 00:02:31,920 Speaker 3: build AI chips for samps and things like that, and Essentially, 42 00:02:31,960 --> 00:02:35,240 Speaker 3: when you look at everything, you can get errors. 43 00:02:35,720 --> 00:02:38,120 Speaker 4: So you want to look at correlated things. 44 00:02:38,520 --> 00:02:42,160 Speaker 3: And you know, the intelligence community missed nine to eleven, 45 00:02:42,240 --> 00:02:45,760 Speaker 3: they missed October seventh. So you can get what we 46 00:02:45,840 --> 00:02:48,400 Speaker 3: call garbage and garbage out if you look at too 47 00:02:48,440 --> 00:02:52,400 Speaker 3: much stuff. So it's very important when they implement all 48 00:02:52,480 --> 00:02:55,560 Speaker 3: this AI that they just put in the things that 49 00:02:55,600 --> 00:02:57,720 Speaker 3: are correlated versus the kitchen saying. 50 00:02:57,760 --> 00:02:59,840 Speaker 1: You are talking about the training data that they're using 51 00:02:59,840 --> 00:03:01,359 Speaker 1: to create these models. 52 00:03:01,080 --> 00:03:04,640 Speaker 3: Right, correct, correct, And you know I build I built 53 00:03:04,639 --> 00:03:07,280 Speaker 3: stock models and I'm very proud of them, and that 54 00:03:07,560 --> 00:03:10,799 Speaker 3: they're online free and we great stocks, A, B, C, 55 00:03:10,960 --> 00:03:15,320 Speaker 3: D F and and uh so I'm kind of a 56 00:03:15,360 --> 00:03:18,919 Speaker 3: programmer to begin with. And but what's interesting is when 57 00:03:18,960 --> 00:03:21,800 Speaker 3: you build a model, the more factors you put in, 58 00:03:21,840 --> 00:03:25,480 Speaker 3: the more errors you're going to make. So my friends 59 00:03:25,520 --> 00:03:29,520 Speaker 3: that are building chips, now it's for consumer products. They're 60 00:03:29,800 --> 00:03:33,679 Speaker 3: they're basically chips are mimicking our pets in our household. 61 00:03:33,720 --> 00:03:36,400 Speaker 3: You know, our pets plot against us and figure out 62 00:03:36,400 --> 00:03:39,440 Speaker 3: who we are and and and then try to condition us, 63 00:03:39,480 --> 00:03:43,800 Speaker 3: you know, And so that's what consumer AI will be doing. 64 00:03:44,000 --> 00:03:46,520 Speaker 3: You know, the new alexas of the world and things 65 00:03:46,560 --> 00:03:49,119 Speaker 3: like that, and I just think it's recording. They don't 66 00:03:49,120 --> 00:03:51,360 Speaker 3: go overboard and do it like the NSA or c 67 00:03:51,520 --> 00:03:51,720 Speaker 3: i A. 68 00:03:53,160 --> 00:03:55,480 Speaker 2: Let's talk a little bit about some of these second, third, 69 00:03:55,480 --> 00:03:59,400 Speaker 2: and fourth derivative place. Probably in the most immediate we 70 00:03:59,440 --> 00:04:02,920 Speaker 2: can look at some of the Asian suppliers for sure, 71 00:04:02,960 --> 00:04:07,680 Speaker 2: TSMC is a big one obviously, with Strawn and Skix 72 00:04:08,080 --> 00:04:10,520 Speaker 2: and Samsung. Are you playing those as well, and if so, 73 00:04:10,600 --> 00:04:11,080 Speaker 2: what do you like? 74 00:04:12,000 --> 00:04:12,680 Speaker 4: No, I'm not. 75 00:04:13,440 --> 00:04:19,320 Speaker 3: I'm playing the companies that are built making the electric 76 00:04:19,560 --> 00:04:22,200 Speaker 3: demand go up, So that would be something like an 77 00:04:22,200 --> 00:04:27,520 Speaker 3: eton An, Mcore, a Quantum Services, Vista Corporation. And I'm 78 00:04:27,560 --> 00:04:32,160 Speaker 3: helping companies secure the cloud. That would be things like CrowdStrike, 79 00:04:32,960 --> 00:04:38,200 Speaker 3: a New Annex, NTNX, Parsons, and virtual holdings. So it's 80 00:04:38,240 --> 00:04:42,960 Speaker 3: all cloud and security. It's that's kind of where we're at. 81 00:04:43,240 --> 00:04:45,160 Speaker 1: So we also got news of a ten for one 82 00:04:45,160 --> 00:04:47,960 Speaker 1: stock split and an increase in the dividend of one 83 00:04:48,000 --> 00:04:52,320 Speaker 1: hundred and fifty percent is or would in Nvidia be 84 00:04:52,320 --> 00:04:55,400 Speaker 1: better served taking that money into plowing it back into 85 00:04:55,480 --> 00:04:58,320 Speaker 1: R and D or do you think they're adequately taking 86 00:04:58,360 --> 00:05:00,960 Speaker 1: care of kind of what's necessary on on the research 87 00:05:01,000 --> 00:05:01,880 Speaker 1: and development front. 88 00:05:03,560 --> 00:05:06,520 Speaker 4: Oh, they spent over two billion dollars on that Blackball chip. 89 00:05:06,560 --> 00:05:08,000 Speaker 4: That's why I know we can compete with them. 90 00:05:08,600 --> 00:05:11,720 Speaker 3: And I mean if AMD wants to even try to 91 00:05:11,760 --> 00:05:13,920 Speaker 3: compete with them, they're not going to. And you know, 92 00:05:14,000 --> 00:05:16,040 Speaker 3: Apple and others have announced they're going to get in 93 00:05:16,040 --> 00:05:18,640 Speaker 3: the AI chip business. But that's the that's the cheap 94 00:05:18,680 --> 00:05:22,119 Speaker 3: AI stuff that it's not as fancy as what Navidia does. 95 00:05:22,600 --> 00:05:25,840 Speaker 3: So I think Navidia has a monopoly. They're going to 96 00:05:25,880 --> 00:05:29,320 Speaker 3: continue monopoly to the end of the decade. You know, 97 00:05:29,640 --> 00:05:33,320 Speaker 3: Jensen said he wants to double the processing speeds every 98 00:05:33,400 --> 00:05:35,680 Speaker 3: year and then eventually at the end of the decade 99 00:05:36,880 --> 00:05:40,680 Speaker 3: they'll have chips in a basically impliance sized device that 100 00:05:40,760 --> 00:05:42,839 Speaker 3: will replace data centers. You know, all these chips have 101 00:05:42,880 --> 00:05:45,679 Speaker 3: to be liquid cooled, and. 102 00:05:44,920 --> 00:05:47,760 Speaker 4: They run hot and they suck a lot of electricity. 103 00:05:47,880 --> 00:05:52,440 Speaker 3: So the electricity play is my big play at this moment. 104 00:05:52,600 --> 00:05:55,760 Speaker 2: Yeah, and you mentioned Eating and Quanta Services and companies 105 00:05:55,800 --> 00:05:57,880 Speaker 2: like that. What about on the cooling side, which you 106 00:05:58,040 --> 00:06:04,000 Speaker 2: just referenced, like Carrier or General HVAC companies that supply 107 00:06:04,120 --> 00:06:07,080 Speaker 2: cooling systems to data centers, is that also in your 108 00:06:07,200 --> 00:06:08,520 Speaker 2: in your target range. 109 00:06:09,040 --> 00:06:11,200 Speaker 3: Not yet, but I can tell you it's hard to 110 00:06:11,200 --> 00:06:13,479 Speaker 3: get air conditioners. I'm in Florida now. We ordered some. 111 00:06:13,560 --> 00:06:16,120 Speaker 3: It's going to take a while. Most of them come 112 00:06:16,160 --> 00:06:20,159 Speaker 3: from Monterey, Mexico, although the crane ones are coming in heavy. 113 00:06:20,240 --> 00:06:24,320 Speaker 3: But the uh, you know, they put the server farms, 114 00:06:24,360 --> 00:06:26,800 Speaker 3: a lot of them in the desert so they can 115 00:06:26,839 --> 00:06:29,000 Speaker 3: open them up at night and they actually cool themselves 116 00:06:29,040 --> 00:06:30,640 Speaker 3: because the deserts get cold at night. 117 00:06:31,040 --> 00:06:34,000 Speaker 4: And you know, I have a home in Reno where 118 00:06:34,080 --> 00:06:38,440 Speaker 4: Apple and Google have server farms there, and so it's 119 00:06:38,680 --> 00:06:40,560 Speaker 4: but the server farms are always going to go. There's 120 00:06:40,640 --> 00:06:41,520 Speaker 4: cheap electricity. 121 00:06:43,080 --> 00:06:46,280 Speaker 3: But no, Navidia and super Micro should be about eighty 122 00:06:46,320 --> 00:06:50,400 Speaker 3: percent or AI investments, and those two stocks are about 123 00:06:50,440 --> 00:06:55,200 Speaker 3: twenty percent of my portfolio. Not no, no, no, because 124 00:06:55,440 --> 00:06:57,320 Speaker 3: they just don't have the results. 125 00:06:57,520 --> 00:06:59,360 Speaker 4: Yeah. Sorry, it's uh. 126 00:06:59,880 --> 00:07:01,560 Speaker 3: I mean, I know they're rallying in the wake of 127 00:07:01,560 --> 00:07:04,560 Speaker 3: what Navidia did, but they just don't hit my criteria. 128 00:07:04,839 --> 00:07:05,640 Speaker 4: I'm pretty picky. 129 00:07:05,680 --> 00:07:08,799 Speaker 3: I got to have my sales growth, my margin expansion, 130 00:07:08,960 --> 00:07:10,120 Speaker 3: positive anser visions. 131 00:07:10,120 --> 00:07:12,760 Speaker 4: I got a surprise, you know, so they got a 132 00:07:12,760 --> 00:07:13,320 Speaker 4: guide hired. 133 00:07:13,400 --> 00:07:16,040 Speaker 1: What about the memory chips that a Micron would develop 134 00:07:16,120 --> 00:07:19,560 Speaker 1: to go hand in hand with an Nvidia product. 135 00:07:19,360 --> 00:07:23,120 Speaker 4: Not yet. I have friends and Boise that ex Micron people. 136 00:07:23,160 --> 00:07:27,840 Speaker 3: That's my buddy who's building chips for Samson, and Micron 137 00:07:27,960 --> 00:07:29,960 Speaker 3: has not shown up on my radar, although it has 138 00:07:30,040 --> 00:07:31,040 Speaker 3: improved dramatically. 139 00:07:32,520 --> 00:07:34,880 Speaker 2: All right, Louis, thanks so much for joining us here 140 00:07:34,960 --> 00:07:39,240 Speaker 2: live on the program. Louis Novelier, chairman and founder of 141 00:07:39,760 --> 00:07:51,320 Speaker 2: novel Year and Associates. The chip maker in Nvidia announced 142 00:07:51,360 --> 00:07:54,240 Speaker 2: revenue up two hundred and sixty percent from the same 143 00:07:54,320 --> 00:07:56,960 Speaker 2: quota last year. It also had a big beat on 144 00:07:57,000 --> 00:07:59,960 Speaker 2: the bottom line and second quarter revenue will be about 145 00:08:00,120 --> 00:08:03,240 Speaker 2: twenty eight billion dollars. Joining us now for some discussion 146 00:08:03,840 --> 00:08:08,200 Speaker 2: is Vlad Savov Bloomberg Tech editor, So, Vlad that two 147 00:08:08,280 --> 00:08:11,600 Speaker 2: hundred and sixty that means that revenue tripled, more than 148 00:08:11,600 --> 00:08:16,240 Speaker 2: tripled from last year, profit tripling as well? Who does that? 149 00:08:17,400 --> 00:08:21,280 Speaker 5: And Vidia? The hilarious thing, Brian, is we're back here 150 00:08:21,360 --> 00:08:23,360 Speaker 5: doing this all over again. I mean, three months ago, 151 00:08:23,400 --> 00:08:26,800 Speaker 5: we're having a conversation, maybe we're previewing MVDA earnings and 152 00:08:26,840 --> 00:08:30,440 Speaker 5: we were saying expectations as sky high. Can Nvidia meet them? 153 00:08:30,480 --> 00:08:33,360 Speaker 5: And it did. He's doing it all over again, and 154 00:08:33,400 --> 00:08:35,600 Speaker 5: maybe three months from now we'll do it over again. 155 00:08:36,080 --> 00:08:39,000 Speaker 5: It's we can't see the top of this cycle. The 156 00:08:39,000 --> 00:08:40,920 Speaker 5: thing that's happening right now, it's worth saying. I mean, 157 00:08:40,960 --> 00:08:43,480 Speaker 5: I've been covering a Video since it was still a 158 00:08:43,520 --> 00:08:47,320 Speaker 5: purely gaming company. Gaming revenue was estimated at two point 159 00:08:47,360 --> 00:08:49,640 Speaker 5: six billion. It came in at two point six billion. 160 00:08:49,880 --> 00:08:53,040 Speaker 5: This is all about AI. This is all about data centers. 161 00:08:52,960 --> 00:08:55,319 Speaker 1: No doubt about that. And I think we can say 162 00:08:56,000 --> 00:08:59,040 Speaker 1: safely that this is pretty much a monopolist right at 163 00:08:59,040 --> 00:09:01,839 Speaker 1: this point. There's no chip company that can touch in video. 164 00:09:03,600 --> 00:09:05,240 Speaker 5: That's a bit of a tough time to put in 165 00:09:05,360 --> 00:09:08,280 Speaker 5: it because it's not by any sort of unfair competition. 166 00:09:08,360 --> 00:09:10,920 Speaker 5: The competition is wide open if anybody wants to compete 167 00:09:10,920 --> 00:09:13,120 Speaker 5: with in video, and you can be sure that companies 168 00:09:13,120 --> 00:09:16,559 Speaker 5: are trying. AMD is the closest competitor they can try it. 169 00:09:16,600 --> 00:09:20,280 Speaker 5: It's just the technology is that clearly ahead. Everybody is 170 00:09:20,320 --> 00:09:25,920 Speaker 5: deploying in video's AI acceleration protocols that he has developed itself. 171 00:09:26,000 --> 00:09:29,280 Speaker 5: It has developed this with billions of dollars of investment 172 00:09:29,360 --> 00:09:31,480 Speaker 5: and over many years, and people have just adopted this 173 00:09:31,559 --> 00:09:34,240 Speaker 5: technology because the best that there is out there right now. 174 00:09:35,120 --> 00:09:38,160 Speaker 2: Yeah, there's just so many superlatives with this. It's not 175 00:09:38,240 --> 00:09:41,440 Speaker 2: like we're, you know, all pushing in VideA. It's just 176 00:09:41,559 --> 00:09:44,280 Speaker 2: one of these things. It tends to be a freak 177 00:09:44,280 --> 00:09:47,160 Speaker 2: of nature here at this point data centers. You mentioned 178 00:09:47,240 --> 00:09:49,959 Speaker 2: that's the big thing. It's eighty five to eighty seven 179 00:09:50,040 --> 00:09:53,440 Speaker 2: percent of total sales. We've seen the stock triple in 180 00:09:53,520 --> 00:09:57,480 Speaker 2: a year, and we mentioned that revenue and profit had tripled, 181 00:09:57,760 --> 00:09:59,760 Speaker 2: and so it means that the stock is really no 182 00:09:59,840 --> 00:10:01,719 Speaker 2: more expensive now than it was a year ago. The 183 00:10:01,880 --> 00:10:03,240 Speaker 2: forward pe is thirty five. 184 00:10:04,400 --> 00:10:06,800 Speaker 5: You're right, Bran. I was just looking at our charts 185 00:10:07,600 --> 00:10:09,240 Speaker 5: on the terminal and one of the things that stands 186 00:10:09,240 --> 00:10:12,480 Speaker 5: out is that the quarterly sales now are bigger than 187 00:10:12,480 --> 00:10:15,320 Speaker 5: the videohead annual sales as recently as one or two 188 00:10:15,400 --> 00:10:19,000 Speaker 5: years ago. It really is just a skyrocketing of sales. 189 00:10:19,040 --> 00:10:21,840 Speaker 5: And it's worth saying. I mean, we keep talking about 190 00:10:21,840 --> 00:10:24,520 Speaker 5: AI on a daily basis, is the predominant topic in tech, 191 00:10:24,679 --> 00:10:27,120 Speaker 5: and one of the highlights actually for me from Video's 192 00:10:27,120 --> 00:10:30,360 Speaker 5: earnings is that still about forty percent of these sales 193 00:10:30,400 --> 00:10:34,680 Speaker 5: are coming from the biggest US tech companies. You're talking Meta, Google, Microsoft, 194 00:10:34,760 --> 00:10:37,360 Speaker 5: all the ones that have said AI is a big priority, 195 00:10:37,600 --> 00:10:40,959 Speaker 5: big thing that we're doing, and they're investing most heavily 196 00:10:41,080 --> 00:10:43,640 Speaker 5: in video chips. If you want to have some sort 197 00:10:43,679 --> 00:10:46,280 Speaker 5: of balance here, there is a question to ask, when 198 00:10:46,280 --> 00:10:48,800 Speaker 5: will those companies say we have enough of these chips. 199 00:10:48,840 --> 00:10:51,520 Speaker 5: When will those companies start tapering off that spending and 200 00:10:51,559 --> 00:10:54,240 Speaker 5: start investing in more software investments. 201 00:10:54,240 --> 00:10:56,400 Speaker 1: Well, look at the story earlier in the week with 202 00:10:56,480 --> 00:11:00,160 Speaker 1: Amazon delaying the purchase of the last the most to 203 00:11:01,320 --> 00:11:04,280 Speaker 1: let me call it, the recent generation, in favor of 204 00:11:04,520 --> 00:11:07,200 Speaker 1: withholding fund so that they could buy the next generation 205 00:11:07,280 --> 00:11:10,040 Speaker 1: of these chips. So there's going to be this constant 206 00:11:10,080 --> 00:11:14,080 Speaker 1: cycle of upgrade and that's going to be driving a 207 00:11:14,120 --> 00:11:16,400 Speaker 1: lot of the sales growth going forward, I would imagine. 208 00:11:16,400 --> 00:11:18,720 Speaker 1: But you know, Okay, so maybe the company is not 209 00:11:18,880 --> 00:11:21,920 Speaker 1: a monopolist in the strictest sense of the term, but 210 00:11:22,559 --> 00:11:25,080 Speaker 1: if you dominate the market to such an extent, you 211 00:11:25,120 --> 00:11:28,679 Speaker 1: do have enormous pricing power, right, and so they are 212 00:11:28,720 --> 00:11:32,200 Speaker 1: in a position to raise prices on the next generation 213 00:11:32,360 --> 00:11:35,520 Speaker 1: of these advanced chips in a way that is going 214 00:11:35,559 --> 00:11:37,720 Speaker 1: to continue to feed that revenue growth. 215 00:11:38,760 --> 00:11:42,000 Speaker 5: That's right, perfectly fair to say. One of the things 216 00:11:42,040 --> 00:11:45,400 Speaker 5: that CEO Jensen Wang did say after the earnings is 217 00:11:45,400 --> 00:11:47,680 Speaker 5: that the company is trying to broaden out is customer base. 218 00:11:47,679 --> 00:11:49,520 Speaker 5: You've got to keep in mind we're here in Hong Kong. 219 00:11:50,040 --> 00:11:52,280 Speaker 5: Asian companies are just as eager to get hold of 220 00:11:52,280 --> 00:11:55,679 Speaker 5: those chips. I mean, the situation right now is Nvidia 221 00:11:55,760 --> 00:11:58,640 Speaker 5: has far more customers than it has chips to supply. 222 00:11:59,160 --> 00:12:01,480 Speaker 5: When you talk to TSA and seeing the likes, there 223 00:12:01,520 --> 00:12:04,400 Speaker 5: is still some constraints in advanced packaging to put these 224 00:12:04,440 --> 00:12:08,240 Speaker 5: chips together. So Nvidia is very much in an enviable 225 00:12:08,280 --> 00:12:09,000 Speaker 5: position today. 226 00:12:09,800 --> 00:12:12,840 Speaker 2: Yeah, I heard Mike Wilson from Morgan Stanley say that 227 00:12:13,200 --> 00:12:15,960 Speaker 2: the only thing about AI is that, you know, we 228 00:12:16,000 --> 00:12:19,520 Speaker 2: haven't really seen it in the sales outside of Nvidia. 229 00:12:20,360 --> 00:12:22,839 Speaker 2: I'm not sure that's really true, because you are seeing 230 00:12:22,840 --> 00:12:26,440 Speaker 2: a lot of companies report higher revenues and stronger growth 231 00:12:26,440 --> 00:12:30,959 Speaker 2: as a result of let's say power supply or cooling 232 00:12:31,000 --> 00:12:34,200 Speaker 2: systems or whatever. But how long is it before this 233 00:12:34,280 --> 00:12:37,480 Speaker 2: really does trickle down to the average Joe. 234 00:12:37,640 --> 00:12:40,000 Speaker 5: Honestly, it really is a matter of the software side 235 00:12:40,000 --> 00:12:42,400 Speaker 5: of things. We just saw Microsoft announce it so called 236 00:12:42,440 --> 00:12:45,920 Speaker 5: co pilot plus PCs. Those are based on Quotcom chips 237 00:12:45,920 --> 00:12:49,120 Speaker 5: almost entirely. That's one aspect of the chip market where 238 00:12:49,160 --> 00:12:51,839 Speaker 5: Nvidia is not a player. Quotcom is trying to get 239 00:12:51,840 --> 00:12:54,760 Speaker 5: in on Intel's turf and basically takeover is the leader 240 00:12:54,800 --> 00:12:56,719 Speaker 5: in PCs, because when you think of PCs, it's really 241 00:12:56,840 --> 00:13:00,840 Speaker 5: laptops nowadays, that's the leading thing. They are the ones 242 00:13:00,920 --> 00:13:02,679 Speaker 5: that are going to show us over the next few 243 00:13:02,720 --> 00:13:05,400 Speaker 5: weeks and months how competing the AI features are going 244 00:13:05,440 --> 00:13:07,959 Speaker 5: to be for end users. That part really hasn't come 245 00:13:08,000 --> 00:13:10,200 Speaker 5: to fruition yet because it's still really early. Everyone is 246 00:13:10,240 --> 00:13:12,880 Speaker 5: just buying the immediate chips to train stuff. But the 247 00:13:12,960 --> 00:13:16,640 Speaker 5: next the next wave of innovation and the next wave 248 00:13:16,640 --> 00:13:19,360 Speaker 5: of chip buying, as far as Ahi goes, is going 249 00:13:19,400 --> 00:13:21,480 Speaker 5: to be in the end devices, the stuff that Quocom 250 00:13:21,520 --> 00:13:21,880 Speaker 5: is setting. 251 00:13:22,160 --> 00:13:25,800 Speaker 2: Yeah in Frience Flat, Thanks very much, Flat Salvov, Bloomberg 252 00:13:25,840 --> 00:13:36,079 Speaker 2: Tech Editor with us. We are joined online by Lorraine 253 00:13:36,120 --> 00:13:40,160 Speaker 2: Tan who's director of Asia Equity Research at morning Star 254 00:13:40,400 --> 00:13:43,679 Speaker 2: on the markets. So at the moment, Lorraine, we're not 255 00:13:43,800 --> 00:13:48,000 Speaker 2: seeing this huge follow through from the optimism surrounding in 256 00:13:48,040 --> 00:13:51,040 Speaker 2: Nvidia to the broader markets in Asia, but it shows 257 00:13:51,080 --> 00:13:53,640 Speaker 2: you these are big markets and there are a lot 258 00:13:53,640 --> 00:13:55,080 Speaker 2: of factors. 259 00:13:56,559 --> 00:13:59,680 Speaker 6: Yes, that's right, so you know, while you know Nvidia 260 00:13:59,760 --> 00:14:03,520 Speaker 6: does provide some relief that at least that's not a 261 00:14:03,920 --> 00:14:07,560 Speaker 6: risk trigger. I think the broader events are the ones 262 00:14:07,600 --> 00:14:10,920 Speaker 6: that is going to drive Asian market direction. And first 263 00:14:10,920 --> 00:14:14,080 Speaker 6: and foremost is people are still wondering when the Fed's 264 00:14:14,120 --> 00:14:16,440 Speaker 6: going to cut, what the inflation numbers are going to 265 00:14:16,440 --> 00:14:20,000 Speaker 6: look like coming up that would allow for that. So 266 00:14:20,040 --> 00:14:22,280 Speaker 6: I think that still tends to be a key factor 267 00:14:22,440 --> 00:14:24,680 Speaker 6: that the markets are looking for in terms of direction. 268 00:14:25,040 --> 00:14:25,440 Speaker 4: Lorraine. 269 00:14:25,480 --> 00:14:27,600 Speaker 1: One of the big ideals here in the States after 270 00:14:27,600 --> 00:14:31,400 Speaker 1: the bell was obviously the Nvidia earnings shattering on estimates 271 00:14:31,400 --> 00:14:33,320 Speaker 1: for sales. I mean, so the guidance here are very 272 00:14:33,320 --> 00:14:35,640 Speaker 1: positive for the current quarter. This is something that is 273 00:14:35,720 --> 00:14:39,280 Speaker 1: really kind of a revolution in the US. I don't 274 00:14:39,320 --> 00:14:43,560 Speaker 1: know how you're seeing AI play out in parts of 275 00:14:43,640 --> 00:14:46,240 Speaker 1: Asia China. Let's put that aside for a moment. We 276 00:14:46,280 --> 00:14:49,280 Speaker 1: can talk about what you're maybe seeing in Singapore, and 277 00:14:49,320 --> 00:14:52,400 Speaker 1: if you could tie in the issue of energy, because 278 00:14:52,400 --> 00:14:54,920 Speaker 1: I know you spent a number of years over the 279 00:14:54,960 --> 00:14:57,960 Speaker 1: course of your career focusing on energy and utilities, and 280 00:14:57,960 --> 00:15:03,800 Speaker 1: we know that AI generally speaking is very energy intensive. 281 00:15:05,920 --> 00:15:07,920 Speaker 6: Yeah, so I think there's a little bit of a 282 00:15:08,200 --> 00:15:12,400 Speaker 6: difference here because in video is benefiting because it's got 283 00:15:12,400 --> 00:15:17,640 Speaker 6: the platform to really extract the value from all the 284 00:15:17,680 --> 00:15:21,440 Speaker 6: AI activities that are going on. So you've got obviously 285 00:15:21,520 --> 00:15:26,080 Speaker 6: some fall flow through to the chip companies, but really 286 00:15:26,120 --> 00:15:28,520 Speaker 6: the chip cycles are going to be driven by the 287 00:15:28,560 --> 00:15:32,280 Speaker 6: broad industry, and for us, we do like that space, 288 00:15:32,400 --> 00:15:36,440 Speaker 6: but it's going to be partly driven by the handful 289 00:15:36,560 --> 00:15:40,480 Speaker 6: replacement cycle that we expect in twenty twenty five. So 290 00:15:40,760 --> 00:15:44,080 Speaker 6: there are slightly different nuances there. In Asia, I think 291 00:15:44,120 --> 00:15:47,400 Speaker 6: it's harder to pinpoint specific companies that are going to 292 00:15:47,480 --> 00:15:51,440 Speaker 6: benefit from what's going on in AI. So even within 293 00:15:51,600 --> 00:15:54,600 Speaker 6: let's say China, when we look at what's going on 294 00:15:54,680 --> 00:16:02,400 Speaker 6: in a cloud space, it's really the national telephone telecommunication 295 00:16:02,520 --> 00:16:05,360 Speaker 6: companies that are benefiting. But even then the percentage of 296 00:16:05,880 --> 00:16:08,520 Speaker 6: to their revenue is not as huge as what we 297 00:16:08,640 --> 00:16:11,520 Speaker 6: want it to be. Obviously, for by DO, this will 298 00:16:11,600 --> 00:16:13,880 Speaker 6: become a gross driver for them in the future, but 299 00:16:13,920 --> 00:16:17,080 Speaker 6: it's still not quite it's still not you know, as 300 00:16:17,200 --> 00:16:21,160 Speaker 6: the significant or it's harder for us to tell whether 301 00:16:21,360 --> 00:16:23,560 Speaker 6: they're going to be able to make a profit out 302 00:16:23,560 --> 00:16:24,400 Speaker 6: of it so soon. 303 00:16:26,280 --> 00:16:29,400 Speaker 2: We've looked a lot at some of these derivative markets 304 00:16:29,640 --> 00:16:33,520 Speaker 2: and areas sectors. Electrification is a big thing, the independent 305 00:16:33,560 --> 00:16:38,240 Speaker 2: power producers in addition to the actual utilities themselves. And 306 00:16:38,240 --> 00:16:40,680 Speaker 2: then you have you know, the HVAC companies, you have 307 00:16:40,840 --> 00:16:45,000 Speaker 2: industrials generally, and a lot of the enthusiasm has spread 308 00:16:45,040 --> 00:16:47,680 Speaker 2: to a lot of different sectors. But investors are still 309 00:16:47,720 --> 00:16:51,160 Speaker 2: looking for companies like Snowflake that stumbled at one point 310 00:16:51,200 --> 00:16:54,560 Speaker 2: in the future and are undervalued. Are you finding companies 311 00:16:54,560 --> 00:16:57,120 Speaker 2: that are undervalued or are you sort of swamped by 312 00:16:57,120 --> 00:16:58,960 Speaker 2: all these markets with all these games. 313 00:17:00,800 --> 00:17:03,960 Speaker 6: Actually, we're still looking at we still see value in 314 00:17:04,000 --> 00:17:06,560 Speaker 6: the markets even within the US that we think is 315 00:17:06,560 --> 00:17:10,480 Speaker 6: slightly overvalued. You know, we're you know, we're looking at 316 00:17:10,480 --> 00:17:14,760 Speaker 6: things like even Fortunate that we have a by call on. 317 00:17:15,840 --> 00:17:19,239 Speaker 6: You know, these are stocks that are laggered and but 318 00:17:19,280 --> 00:17:23,240 Speaker 6: we think that they're still upside potential for sure. Even 319 00:17:23,320 --> 00:17:26,680 Speaker 6: healthcare names that are not within the that haven't benefited 320 00:17:26,760 --> 00:17:31,200 Speaker 6: from the BCD drug run up, you know, there's still 321 00:17:31,280 --> 00:17:33,879 Speaker 6: value there that would come back to the broader farmers 322 00:17:33,880 --> 00:17:37,320 Speaker 6: space as well. Within Asia, definitely. You know, we've seen 323 00:17:37,400 --> 00:17:41,240 Speaker 6: value China remains in our views, somewhat undervalued despite the 324 00:17:41,280 --> 00:17:44,320 Speaker 6: recent run up. Probably would be a little bit more 325 00:17:44,359 --> 00:17:49,080 Speaker 6: cautious in jumping into more real estate China real estate 326 00:17:49,160 --> 00:17:53,080 Speaker 6: names that have come up the from the bottom. But 327 00:17:53,240 --> 00:17:56,840 Speaker 6: definitely we still like the chip sector for the most part. 328 00:17:56,920 --> 00:18:00,520 Speaker 6: In Japan, we'd like the lagging factory automation names. They 329 00:18:00,560 --> 00:18:07,600 Speaker 6: also benefit from basically a cyclical improvement, basically inventory levels coming. 330 00:18:07,400 --> 00:18:11,040 Speaker 1: Back to normal, So chips. I'm also thinking South Korea 331 00:18:11,040 --> 00:18:14,160 Speaker 1: and we just had to be okay raising growth it's 332 00:18:14,240 --> 00:18:17,280 Speaker 1: growth forecast for this year to a level of two 333 00:18:17,320 --> 00:18:19,280 Speaker 1: and a half percent, up from two to one. The 334 00:18:19,359 --> 00:18:22,080 Speaker 1: last projection was made in February. How are you feeling 335 00:18:22,080 --> 00:18:25,679 Speaker 1: about the South Korean market, particularly the chip makers like 336 00:18:25,880 --> 00:18:27,320 Speaker 1: Samsung and sk Heinex. 337 00:18:29,680 --> 00:18:33,159 Speaker 6: Yeah, we do like Samsung. I think we still have 338 00:18:33,200 --> 00:18:36,359 Speaker 6: a bikon on Samsung, but we are more so focused 339 00:18:36,400 --> 00:18:39,440 Speaker 6: on the laggards regardless of where they are. So even 340 00:18:39,720 --> 00:18:45,160 Speaker 6: within that space industry leader TSMC, we we think they're 341 00:18:45,160 --> 00:18:49,680 Speaker 6: still upside potential there. Media tech on the Taiwan side 342 00:18:49,760 --> 00:18:53,080 Speaker 6: is another name that we prefer. I think overall, we 343 00:18:53,160 --> 00:18:55,600 Speaker 6: probably see a little bit more value in some of 344 00:18:55,640 --> 00:18:59,280 Speaker 6: the Taiwanese names on the chip side relative to let's say, 345 00:18:59,560 --> 00:19:05,000 Speaker 6: specific to Japanese or Korean chip makers at this stage. 346 00:19:06,200 --> 00:19:07,920 Speaker 2: And you know, we've talked a lot this morning about 347 00:19:07,920 --> 00:19:12,280 Speaker 2: b HP and Anglo and uh, it's interesting that you 348 00:19:12,280 --> 00:19:15,520 Speaker 2: know b HP is looking at copper mining but not 349 00:19:15,600 --> 00:19:19,240 Speaker 2: wanting to do it itself. But buy buy it, buy Anglo. 350 00:19:19,960 --> 00:19:23,240 Speaker 2: I'm curious what your thoughts about M and A. He's 351 00:19:23,280 --> 00:19:25,320 Speaker 2: been picking up a little bit here of late. What 352 00:19:25,320 --> 00:19:26,800 Speaker 2: what sort of message does it send? 353 00:19:29,400 --> 00:19:32,120 Speaker 6: I think when I think, what it means is that 354 00:19:32,680 --> 00:19:36,879 Speaker 6: for companies still having holding a lot of cash, and 355 00:19:36,960 --> 00:19:40,200 Speaker 6: I think that's across the board the number of companies 356 00:19:41,280 --> 00:19:45,520 Speaker 6: that we see and for those you know where you 357 00:19:45,560 --> 00:19:49,879 Speaker 6: have equity values also be at relatively low levels. That 358 00:19:49,960 --> 00:19:53,119 Speaker 6: probably means it's a good time to look for acquisitions 359 00:19:54,320 --> 00:19:58,600 Speaker 6: and and we do expect that to you know, basically continue, 360 00:19:58,680 --> 00:20:01,840 Speaker 6: particularly for those companies that can that do have the 361 00:20:01,960 --> 00:20:07,320 Speaker 6: cash flow to afford it. Definitely, you know, debt levels 362 00:20:07,359 --> 00:20:10,480 Speaker 6: of debt servicing is a little bit tougher now and 363 00:20:10,720 --> 00:20:13,840 Speaker 6: obviously getting funding is a little bit harder now. So 364 00:20:13,920 --> 00:20:16,600 Speaker 6: I think where you're probably seeing a little bit more 365 00:20:16,600 --> 00:20:20,120 Speaker 6: appetite for by some companies to consolidate. 366 00:20:20,400 --> 00:20:23,480 Speaker 1: We were just talking here in New York about a 367 00:20:23,600 --> 00:20:27,520 Speaker 1: Report City Group considering reducing some of its office foot 368 00:20:27,520 --> 00:20:31,200 Speaker 1: print in Singapore. Remote work is obviously gaining traction. How 369 00:20:31,280 --> 00:20:33,440 Speaker 1: is the commercial real estate market there in the Line 370 00:20:33,480 --> 00:20:34,359 Speaker 1: City very quickly? 371 00:20:37,200 --> 00:20:41,280 Speaker 6: Tier one basically the top grade real estate is still 372 00:20:41,520 --> 00:20:45,000 Speaker 6: highly demanded. If you look at the CBD areas, occupancy 373 00:20:45,080 --> 00:20:49,600 Speaker 6: rates are still high at about nine so we don't 374 00:20:49,600 --> 00:20:54,280 Speaker 6: actually expect any decline in rental rates unfortunately for US. 375 00:20:54,800 --> 00:20:57,240 Speaker 2: Laurene, thank you so much for joining us. Lorraine Tan, 376 00:20:57,359 --> 00:21:00,920 Speaker 2: their director of Asia Equity Research, Morning Star. 377 00:21:04,000 --> 00:21:06,919 Speaker 1: This has been the Bloomberg Daybreak Asia podcast, bringing you 378 00:21:07,000 --> 00:21:10,120 Speaker 1: the stories, making news and moving markets in the Asia Pacific. 379 00:21:10,600 --> 00:21:13,720 Speaker 1: Visit the Bloomberg Podcast channel on YouTube to get more 380 00:21:13,760 --> 00:21:17,359 Speaker 1: episodes of this and other shows from Bloomberg. Subscribe to 381 00:21:17,400 --> 00:21:21,200 Speaker 1: the podcast on Apple, Spotify, or anywhere else you listen 382 00:21:21,280 --> 00:21:24,359 Speaker 1: and always on Bloomberg Radio, the Bloomberg Terminal, and the 383 00:21:24,400 --> 00:21:25,480 Speaker 1: Bloomberg Business app.