1 00:00:00,040 --> 00:00:10,719 Speaker 1: Bloomberg Audio Studios, Podcasts, Radio News. 2 00:00:11,480 --> 00:00:14,480 Speaker 2: Welcome to the Daybreak Asia podcast. I'm Doug Prisoner. In 3 00:00:14,520 --> 00:00:18,160 Speaker 2: the US session, we had a powerful rally in semiconductor stocks. 4 00:00:18,200 --> 00:00:20,760 Speaker 2: This really reflected the view that the recent selling that 5 00:00:20,800 --> 00:00:23,720 Speaker 2: we have seen in this group was simply overdone. The 6 00:00:23,760 --> 00:00:27,120 Speaker 2: Philadelphia Semiconductor Index jump by more than eight percent, and 7 00:00:27,240 --> 00:00:30,680 Speaker 2: on top of that, other areas in the AI trade 8 00:00:30,800 --> 00:00:34,479 Speaker 2: rallied as well. Take for example, Microsoft up fifteen percent 9 00:00:34,600 --> 00:00:38,199 Speaker 2: on strong cloud growth, and Oracle shares were hire by 10 00:00:38,280 --> 00:00:41,400 Speaker 2: eight percent. That was after the company expanded its Gemini 11 00:00:41,520 --> 00:00:45,760 Speaker 2: AI partnership with Google and some more tech earnings. After 12 00:00:45,800 --> 00:00:48,839 Speaker 2: the closing bell, we heard from Amazon and Apple, and 13 00:00:48,840 --> 00:00:51,080 Speaker 2: we're going to take a closer look now at the 14 00:00:51,120 --> 00:00:54,040 Speaker 2: market action with Daniel Newman. He is the CEO of 15 00:00:54,160 --> 00:00:57,800 Speaker 2: Futurum Group. Daniel joining from here in New York City. 16 00:00:58,040 --> 00:01:00,520 Speaker 2: Thank you so much for being here. Give me your 17 00:01:00,560 --> 00:01:02,840 Speaker 2: sense of what you've seen play out over the last 18 00:01:02,840 --> 00:01:03,760 Speaker 2: twenty four hours. 19 00:01:05,040 --> 00:01:07,880 Speaker 3: Well, Doug, I think we were seeing a few different 20 00:01:07,880 --> 00:01:10,840 Speaker 3: things at the same time. Structurally, we believe that the 21 00:01:10,880 --> 00:01:13,880 Speaker 3: AI trade data build out is very much intact. We've 22 00:01:13,880 --> 00:01:16,839 Speaker 3: had a very good set of earnings through this cycle 23 00:01:16,920 --> 00:01:17,280 Speaker 3: so far. 24 00:01:17,880 --> 00:01:19,120 Speaker 4: More very strong. 25 00:01:18,880 --> 00:01:22,080 Speaker 3: Earnings delivered this week from the leaders in AI, the 26 00:01:22,160 --> 00:01:24,399 Speaker 3: leading hyperscalers as well as. 27 00:01:24,280 --> 00:01:25,440 Speaker 4: The semiconductor companies. 28 00:01:25,480 --> 00:01:27,440 Speaker 3: But at the same time, you saw a market go 29 00:01:27,560 --> 00:01:30,280 Speaker 3: from you know, all time highs or near all time 30 00:01:30,360 --> 00:01:34,240 Speaker 3: highs to year lows in less than thirty days. We 31 00:01:34,319 --> 00:01:39,520 Speaker 3: saw the costp in Korea almost on the daily, you know, 32 00:01:39,560 --> 00:01:43,040 Speaker 3: setting off you know, setting off trip wires and having 33 00:01:43,120 --> 00:01:45,800 Speaker 3: to stop the market on a day to day. And 34 00:01:45,840 --> 00:01:47,760 Speaker 3: then of course here in the US, you know, we 35 00:01:47,840 --> 00:01:50,120 Speaker 3: had that hard fall and people were kind of wondering 36 00:01:50,120 --> 00:01:53,640 Speaker 3: what's going on, and obviously, you know, there was a 37 00:01:53,640 --> 00:01:56,360 Speaker 3: lot of de leveraging going on. There was there's been 38 00:01:56,400 --> 00:01:58,800 Speaker 3: a lot of leverage into the market. Of course in 39 00:01:58,880 --> 00:02:01,280 Speaker 3: Korea that was a thing, but it was also it's 40 00:02:01,280 --> 00:02:03,920 Speaker 3: also a very significant thing here in the United States. 41 00:02:05,040 --> 00:02:08,799 Speaker 3: I think what we saw yesterday was a lot of 42 00:02:08,960 --> 00:02:12,680 Speaker 3: the capitulation that the market wanted to see, and then 43 00:02:12,800 --> 00:02:15,799 Speaker 3: you got some short covering and you now saw a huge, 44 00:02:15,800 --> 00:02:20,160 Speaker 3: powerful rally that was based on getting some good results 45 00:02:20,320 --> 00:02:25,000 Speaker 3: from Microsoft, getting some good results from today from Amazon, 46 00:02:26,200 --> 00:02:29,520 Speaker 3: seeing these companies that are committing these big dollars in Capex, 47 00:02:30,360 --> 00:02:34,280 Speaker 3: feeling confident that they are spending wisely and building an. 48 00:02:34,120 --> 00:02:36,560 Speaker 4: ROI strategy for their AI. I think gave the market 49 00:02:36,560 --> 00:02:37,720 Speaker 4: a chance to rally back higher. 50 00:02:38,080 --> 00:02:39,960 Speaker 2: So Dan, I'm sure you're aware that we had some 51 00:02:40,080 --> 00:02:44,760 Speaker 2: news today on the hedge fund called Situational Awareness. The 52 00:02:44,800 --> 00:02:48,240 Speaker 2: fund sold the bulk of its public equity holdings to Citadel, 53 00:02:48,400 --> 00:02:50,440 Speaker 2: and I think there's maybe a little bit of irony 54 00:02:50,480 --> 00:02:54,320 Speaker 2: here in terms of the firm's name. Situational Awareness had 55 00:02:54,320 --> 00:02:57,280 Speaker 2: been investing in companies tied to the boom in AI. 56 00:02:57,800 --> 00:03:00,280 Speaker 2: So Dan, I'm wondering whether you think that we're wanting 57 00:03:00,320 --> 00:03:03,320 Speaker 2: to get more stories like this, which is to say, 58 00:03:03,960 --> 00:03:07,799 Speaker 2: hedge funds being caught maybe leverage as a factor and 59 00:03:07,880 --> 00:03:11,720 Speaker 2: then the significant pain to their positions that is inflicted 60 00:03:11,760 --> 00:03:12,400 Speaker 2: as a result. 61 00:03:13,280 --> 00:03:16,040 Speaker 3: Well, I think we've gotten to the point where we 62 00:03:16,240 --> 00:03:22,079 Speaker 3: risk too much leverage in the market everywhere. You know, 63 00:03:22,240 --> 00:03:24,960 Speaker 3: this is what's happened with these you know, three and 64 00:03:25,080 --> 00:03:28,920 Speaker 3: four times leveraged ETFs on memory, this is what happened 65 00:03:28,960 --> 00:03:32,800 Speaker 3: to Ashton Brenner. He was, you know, heavily levered to 66 00:03:32,840 --> 00:03:35,320 Speaker 3: make the kind of profits that he was making. And 67 00:03:35,840 --> 00:03:39,000 Speaker 3: there's always opportunists in the market. In this case it 68 00:03:39,040 --> 00:03:44,200 Speaker 3: was Citadel, and Citadel was able to basically buy situational 69 00:03:44,240 --> 00:03:48,320 Speaker 3: awarenesses positions at the bottom and immediately get the kind 70 00:03:48,320 --> 00:03:50,640 Speaker 3: of rally we got today. But I think with the 71 00:03:50,680 --> 00:03:54,600 Speaker 3: market between the Fed news this week, the concern about 72 00:03:54,640 --> 00:04:01,720 Speaker 3: potential interest rate hikes, the uncertainty about inflation, the macro overall, 73 00:04:01,960 --> 00:04:05,400 Speaker 3: the China competition for AI with the United States, I 74 00:04:05,440 --> 00:04:08,960 Speaker 3: think there is a lot to be said about the 75 00:04:09,000 --> 00:04:11,320 Speaker 3: market as a whole and whether it has anything to 76 00:04:11,400 --> 00:04:15,400 Speaker 3: do with how resilient or robust the AI trade is 77 00:04:15,600 --> 00:04:18,360 Speaker 3: what we believe though, Doug is there's somewhere between ten 78 00:04:18,480 --> 00:04:21,640 Speaker 3: and twelve trillion dollars of cumulative capex that's going to 79 00:04:21,640 --> 00:04:25,440 Speaker 3: be spent on AI between now and twenty thirty and 80 00:04:25,600 --> 00:04:30,440 Speaker 3: companies like Nvidia and Micron which were sold heavily, especially 81 00:04:30,480 --> 00:04:34,080 Speaker 3: Micron the memory names in this last thirty days, these 82 00:04:34,080 --> 00:04:38,000 Speaker 3: companies are trading at extremely cheap valuations based on their 83 00:04:38,040 --> 00:04:41,279 Speaker 3: long term agreements and the long term profit expectations that 84 00:04:41,320 --> 00:04:44,479 Speaker 3: they have. So I think this shakeout was probably healthy 85 00:04:44,520 --> 00:04:46,479 Speaker 3: to de leverage some of what was going on in 86 00:04:46,480 --> 00:04:49,359 Speaker 3: the market, but I think it also provides a good 87 00:04:49,839 --> 00:04:52,560 Speaker 3: environment for some of these stocks that have gone down, 88 00:04:52,800 --> 00:04:55,080 Speaker 3: it feels like for a month straight to start going 89 00:04:55,120 --> 00:04:55,440 Speaker 3: back up. 90 00:04:55,600 --> 00:04:57,880 Speaker 2: So I hear your optimism when it comes to the 91 00:04:57,880 --> 00:05:00,719 Speaker 2: build out of AI focused on you know, the chip 92 00:05:01,320 --> 00:05:05,680 Speaker 2: sector and the hardware manufacturers. But I'm curious about the hyperscalers. 93 00:05:05,680 --> 00:05:10,160 Speaker 2: Whether you expect the continued growth in data center activity 94 00:05:10,400 --> 00:05:13,680 Speaker 2: to be concentrated in these big names, whether it's an Amazon, 95 00:05:13,880 --> 00:05:16,000 Speaker 2: and I want to get your take on the results 96 00:05:16,040 --> 00:05:18,520 Speaker 2: that we heard from Amazon after the bell names like 97 00:05:18,880 --> 00:05:23,000 Speaker 2: meta names, like alphabet names like Microsoftware. We're going to 98 00:05:23,040 --> 00:05:28,360 Speaker 2: see continued concentration among the hyperscalers or will we gradually 99 00:05:28,400 --> 00:05:31,719 Speaker 2: see an expansion in data center build out to go 100 00:05:31,880 --> 00:05:33,919 Speaker 2: beyond these big companies. 101 00:05:34,800 --> 00:05:35,919 Speaker 4: Yeah, I think. 102 00:05:35,760 --> 00:05:40,040 Speaker 3: You're going to see some augmentation to these bigger companies. 103 00:05:40,040 --> 00:05:43,440 Speaker 3: I think these hyperscalers will remain the largest. They had 104 00:05:43,480 --> 00:05:47,279 Speaker 3: such a market advantage coming out. We've seen new entrants, 105 00:05:47,640 --> 00:05:51,560 Speaker 3: popular names in the market like Nebus, Core, weave Iron 106 00:05:52,000 --> 00:05:54,880 Speaker 3: that are all building an adding capacity as part of 107 00:05:54,920 --> 00:05:58,000 Speaker 3: this AI build out in Boom. But the hyperscalers have 108 00:05:58,120 --> 00:06:02,040 Speaker 3: so much operational life, they have so much size and scale, 109 00:06:02,080 --> 00:06:05,600 Speaker 3: they have the customers in many cases, like in Google's case, 110 00:06:05,680 --> 00:06:09,520 Speaker 3: they have a full stack of infrastructure. Amazon and Microsoft 111 00:06:09,520 --> 00:06:12,840 Speaker 3: are following suit. Microsoft has the benefit of the largest 112 00:06:12,960 --> 00:06:16,000 Speaker 3: enterprise distribution on the planet and Aws have the benefit 113 00:06:16,040 --> 00:06:19,760 Speaker 3: of being the largest cloud coming into this AI pivot. 114 00:06:20,839 --> 00:06:22,440 Speaker 4: I think over the next handful of. 115 00:06:22,480 --> 00:06:25,080 Speaker 3: Years, what we know for sure is we are constrained, 116 00:06:25,680 --> 00:06:28,520 Speaker 3: and so as long as we are constrained, we will 117 00:06:28,560 --> 00:06:33,240 Speaker 3: see opportunistic you know, new companies entering the market to 118 00:06:33,320 --> 00:06:36,920 Speaker 3: compete into these spaces, and you will see these companies 119 00:06:37,000 --> 00:06:43,320 Speaker 3: actually partnering with the likes of Google, Amazon, Microsoft, Oracle. 120 00:06:43,920 --> 00:06:47,120 Speaker 3: So I think for the next handful of years it's 121 00:06:47,160 --> 00:06:50,160 Speaker 3: more of a situation of and than or. But I 122 00:06:50,200 --> 00:06:53,240 Speaker 3: think that you know, the reason the AI trade as 123 00:06:53,279 --> 00:06:56,200 Speaker 3: a whole will continue to have concern is not so 124 00:06:56,279 --> 00:06:59,040 Speaker 3: much about to your point, about the hardware and the 125 00:06:59,400 --> 00:07:03,280 Speaker 3: capex and build out these companies. Amazon validated and reaffirmed 126 00:07:03,279 --> 00:07:06,960 Speaker 3: today that they actually raised their CAPEX guidance to two 127 00:07:07,040 --> 00:07:11,120 Speaker 3: hundred and twenty billion and still can't build enough compute. 128 00:07:11,240 --> 00:07:13,600 Speaker 4: Google raised its CAPEX. 129 00:07:13,240 --> 00:07:16,679 Speaker 3: Number significantly a week ago after having eighty two percent 130 00:07:16,720 --> 00:07:19,360 Speaker 3: growth in its cloud business. These companies are going to 131 00:07:19,400 --> 00:07:21,320 Speaker 3: partner they're going to expand they're going to get access 132 00:07:21,320 --> 00:07:23,560 Speaker 3: to every bit of compute they can. Because what we 133 00:07:23,640 --> 00:07:26,080 Speaker 3: found out is models are changing very quickly. And we 134 00:07:26,120 --> 00:07:28,040 Speaker 3: saw the Kimi incident a year ago, we had the 135 00:07:28,080 --> 00:07:31,360 Speaker 3: Deep Seek incident. We're finding models are not the moat 136 00:07:31,440 --> 00:07:35,800 Speaker 3: in itself. The moat is compute and having enough compute 137 00:07:36,120 --> 00:07:37,800 Speaker 3: to support this boom. 138 00:07:38,200 --> 00:07:41,200 Speaker 2: To that point, Deep Seek is building an AI data 139 00:07:41,240 --> 00:07:43,760 Speaker 2: center in Inner Mongolia. I mean, do we have to 140 00:07:43,800 --> 00:07:46,440 Speaker 2: be concerned about I hear what you're saying in terms 141 00:07:46,480 --> 00:07:49,720 Speaker 2: of where the LM kind of part of the story 142 00:07:49,760 --> 00:07:52,840 Speaker 2: fits in and the Deep Seek moment or the Kimmy 143 00:07:52,920 --> 00:07:55,440 Speaker 2: K three moment in China. But I'm wondering whether or 144 00:07:55,480 --> 00:07:57,920 Speaker 2: not we have to be cognizant of the fact that 145 00:07:58,280 --> 00:08:01,080 Speaker 2: China is going to be pretty aggressive in building out 146 00:08:01,720 --> 00:08:05,560 Speaker 2: the compute infrastructure, they building out data centers, and whether 147 00:08:05,640 --> 00:08:07,280 Speaker 2: or not they could do it at a lower cost, 148 00:08:07,360 --> 00:08:11,680 Speaker 2: and what level of risk that represents two American firms. 149 00:08:12,120 --> 00:08:13,840 Speaker 4: Look, this is the most important. 150 00:08:13,840 --> 00:08:17,600 Speaker 3: It's an existential battle for global economic leadership winning AI. 151 00:08:18,400 --> 00:08:22,120 Speaker 3: This is what people have to understand when they, you know, 152 00:08:22,280 --> 00:08:24,960 Speaker 3: are having this debate about the US and China. They're 153 00:08:25,000 --> 00:08:28,440 Speaker 3: having debate about whether the US provides its leading edge 154 00:08:28,480 --> 00:08:33,160 Speaker 3: technology from an Nvidia or you know, whether we allow 155 00:08:33,240 --> 00:08:39,079 Speaker 3: ASML to ship their most advanced machines. China absolutely is 156 00:08:39,120 --> 00:08:41,960 Speaker 3: a formula competitor, and of course they play by different rules. 157 00:08:42,240 --> 00:08:44,720 Speaker 3: We've seen that with Kimmy and others, where there's you know, 158 00:08:44,840 --> 00:08:49,600 Speaker 3: suspicion that Kimi is trained largely by using advanced techniques 159 00:08:49,640 --> 00:08:52,880 Speaker 3: to distill and do more than just distill. 160 00:08:54,040 --> 00:08:55,200 Speaker 4: Clawed anthropic. 161 00:08:55,640 --> 00:08:58,800 Speaker 3: And so this is going to be the front in 162 00:08:58,880 --> 00:09:03,360 Speaker 3: which we weighed the next multiple decades of economic leadership war. 163 00:09:04,120 --> 00:09:07,320 Speaker 4: And so yes, absolutely, it's important that we are concerned. 164 00:09:07,360 --> 00:09:09,880 Speaker 3: It's important that we build the right rules, that we 165 00:09:09,920 --> 00:09:13,000 Speaker 3: provide US companies the opportunity to do business in China 166 00:09:13,040 --> 00:09:15,720 Speaker 3: where it makes sense. But what we don't do is 167 00:09:16,000 --> 00:09:20,880 Speaker 3: arm the largest competitor for economic leadership with all of 168 00:09:20,920 --> 00:09:24,840 Speaker 3: our innovation, all of our tools, without understanding the consequences. 169 00:09:24,920 --> 00:09:26,679 Speaker 2: I want to ask about Apple, and then I have 170 00:09:26,720 --> 00:09:30,199 Speaker 2: one other question as it relates to breaking news on anthropic. 171 00:09:30,280 --> 00:09:35,199 Speaker 2: What did you make of Apple's results after the bill? 172 00:09:35,360 --> 00:09:36,520 Speaker 4: Apple did fine? 173 00:09:36,600 --> 00:09:40,640 Speaker 3: I mean, look the way Tim Cook was talking about 174 00:09:40,760 --> 00:09:42,200 Speaker 3: input costs. 175 00:09:41,840 --> 00:09:46,520 Speaker 4: His desire for Chinese memory to be able to enable them. 176 00:09:46,520 --> 00:09:48,960 Speaker 4: You would have thought they were going to miss their profits. 177 00:09:49,160 --> 00:09:52,480 Speaker 3: I mean again, Apples and Operations, you know, is an 178 00:09:52,520 --> 00:09:53,480 Speaker 3: operating machine. 179 00:09:53,600 --> 00:09:56,560 Speaker 4: They tend to make their numbers. They very rarely miss 180 00:09:58,080 --> 00:09:59,040 Speaker 4: the markets selling it. 181 00:09:59,080 --> 00:10:02,280 Speaker 3: Because Apple's been a safe haven for the last month, 182 00:10:02,840 --> 00:10:05,680 Speaker 3: it's run to all time highs. There's still some questions 183 00:10:05,720 --> 00:10:09,120 Speaker 3: around the company's AI strategy. You know, iPhone sales look decent. 184 00:10:09,280 --> 00:10:11,400 Speaker 3: MAC sales were good, but you have to remember a 185 00:10:11,400 --> 00:10:15,520 Speaker 3: lot of the revenues are based on pricing right now, 186 00:10:16,760 --> 00:10:21,000 Speaker 3: not just the actual unit sales. And then of course, 187 00:10:21,080 --> 00:10:23,080 Speaker 3: you know China was down, so you always have to 188 00:10:23,080 --> 00:10:25,160 Speaker 3: look at that number. That's an important one for Apple. 189 00:10:25,440 --> 00:10:28,680 Speaker 3: But they did make their EPs number. It's notable that 190 00:10:28,720 --> 00:10:32,280 Speaker 3: they made it off the tariff income that they had returned. 191 00:10:32,520 --> 00:10:34,640 Speaker 3: Otherwise they would have been in the midpoint of at 192 00:10:34,640 --> 00:10:37,000 Speaker 3: the midpoint of their guidance last quarter as opposed to 193 00:10:37,040 --> 00:10:38,320 Speaker 3: beating it. 194 00:10:38,320 --> 00:10:39,880 Speaker 4: It was a good quarter as a tidy quarter. 195 00:10:39,920 --> 00:10:42,760 Speaker 3: Apple is the safe haven of the mag seven right now, 196 00:10:44,080 --> 00:10:46,800 Speaker 3: and investors have been backing it. I'm wondering right now 197 00:10:46,840 --> 00:10:49,840 Speaker 3: that with this rotation, if this is it wasn't so 198 00:10:49,920 --> 00:10:52,959 Speaker 3: much Apple's bad print. It was more dollars are rotating 199 00:10:53,040 --> 00:10:56,560 Speaker 3: back into this this AI boom, with the Microsoft rally, 200 00:10:56,640 --> 00:10:59,880 Speaker 3: with the Amazon rally, and video has been oversold, so 201 00:11:00,200 --> 00:11:01,920 Speaker 3: you might start to see some of the error come 202 00:11:01,920 --> 00:11:02,880 Speaker 3: out of that Apple balloon. 203 00:11:03,160 --> 00:11:03,360 Speaker 4: You know. 204 00:11:03,400 --> 00:11:05,959 Speaker 2: As I'm listening to and I'm thinking about the rate 205 00:11:06,000 --> 00:11:09,160 Speaker 2: of change that we have seen in artificial intelligence, I'm 206 00:11:09,200 --> 00:11:13,520 Speaker 2: wondering about the next generation of handheld devices that is 207 00:11:13,520 --> 00:11:17,920 Speaker 2: going to be custom made for this AI system that 208 00:11:17,960 --> 00:11:21,000 Speaker 2: we're describing. And I want to get your view on 209 00:11:21,080 --> 00:11:25,520 Speaker 2: Anthropic because tonight in the US, we learned that a 210 00:11:25,559 --> 00:11:30,679 Speaker 2: couple of the company's AI models breached three different organizations 211 00:11:30,679 --> 00:11:34,720 Speaker 2: in cybersecurity testing. Something went wrong, it went awry, And 212 00:11:34,840 --> 00:11:37,360 Speaker 2: this is only a little more than a week after 213 00:11:37,920 --> 00:11:41,640 Speaker 2: OpenAI disclosed a similar incident. And I'm wondering whether you 214 00:11:41,720 --> 00:11:47,080 Speaker 2: are concerned about the rate of change, particularly on THELM side, 215 00:11:47,080 --> 00:11:49,880 Speaker 2: the model side, that things are moving a little too 216 00:11:49,960 --> 00:11:53,360 Speaker 2: quickly for your comfort level, and that we need to 217 00:11:53,400 --> 00:11:56,240 Speaker 2: try to find a way to modulate this, or are 218 00:11:56,240 --> 00:11:59,160 Speaker 2: you okay? And maybe you're of the belief that the 219 00:11:59,200 --> 00:12:01,880 Speaker 2: industry can regulate itself and get this stuff under control. 220 00:12:01,920 --> 00:12:02,840 Speaker 2: What's your feeling on that. 221 00:12:03,760 --> 00:12:07,040 Speaker 3: Well as a footnote on your comment about the future 222 00:12:07,040 --> 00:12:10,400 Speaker 3: of devices, that is Apple's existential risk is if a 223 00:12:10,480 --> 00:12:17,480 Speaker 3: new device or platform was to disrupt Apple's position. Now, 224 00:12:17,520 --> 00:12:20,720 Speaker 3: going back to the Anthropic and open as situation, this 225 00:12:20,760 --> 00:12:22,880 Speaker 3: is really interesting. You know, you have two companies that 226 00:12:22,880 --> 00:12:25,880 Speaker 3: have been sort of screaming from the rooftop that AI 227 00:12:25,920 --> 00:12:30,360 Speaker 3: needs more regulation. We've had this kind of back and 228 00:12:30,400 --> 00:12:33,200 Speaker 3: forth about can the frontier models. 229 00:12:32,800 --> 00:12:34,440 Speaker 4: And these closed source win. 230 00:12:34,600 --> 00:12:38,880 Speaker 3: We've had companies like Nvidia coming out loudly to support 231 00:12:39,000 --> 00:12:45,040 Speaker 3: more open source globally, and you know, you have these 232 00:12:45,240 --> 00:12:50,400 Speaker 3: jail break sort of rogue agents coming out and part 233 00:12:50,440 --> 00:12:54,640 Speaker 3: of me almost wonders, like, how does this happen? How 234 00:12:54,640 --> 00:12:58,240 Speaker 3: do two different trillion dollar companies have agents doing things 235 00:12:58,240 --> 00:13:02,240 Speaker 3: that they're not monitoring them, they're not watching them. It's 236 00:13:02,280 --> 00:13:04,720 Speaker 3: wild to me that this took days on the open 237 00:13:04,760 --> 00:13:06,320 Speaker 3: AI one. We don't know what's going to happen with 238 00:13:06,360 --> 00:13:08,040 Speaker 3: the Anthropic When you have with the open AI one, 239 00:13:08,280 --> 00:13:10,839 Speaker 3: these went on for days before they were even discovered. 240 00:13:12,000 --> 00:13:14,800 Speaker 3: So we have technology and a rate of change that's 241 00:13:15,320 --> 00:13:19,080 Speaker 3: you know, that's exponential right now, and the problem is 242 00:13:19,080 --> 00:13:25,239 Speaker 3: is policymakers and regulation can never keep up, so expecting 243 00:13:25,280 --> 00:13:28,720 Speaker 3: those things to happen and get ahead. It has never 244 00:13:28,760 --> 00:13:31,880 Speaker 3: happened in history. And now we have the most important 245 00:13:32,640 --> 00:13:35,320 Speaker 3: arms race between the East and the West, especially US 246 00:13:35,320 --> 00:13:38,200 Speaker 3: and China, where we're going to say let's slow down. 247 00:13:38,840 --> 00:13:40,680 Speaker 3: I just don't see that happening. I do think we 248 00:13:40,720 --> 00:13:43,080 Speaker 3: need more framework. I do think we need policies that 249 00:13:43,280 --> 00:13:46,640 Speaker 3: quickly have models evaluated before they're sent out in masks. 250 00:13:46,720 --> 00:13:48,440 Speaker 4: And I do think some of that's being worked on. 251 00:13:49,360 --> 00:13:53,600 Speaker 3: I think that these systems and some of these rogue events, 252 00:13:53,640 --> 00:13:56,840 Speaker 3: they will continue to happen, and we do need to, 253 00:13:57,240 --> 00:13:59,520 Speaker 3: you know, pay better attention. But I put a lot 254 00:13:59,520 --> 00:14:02,120 Speaker 3: of the blame this on anthropic and on Open AI. 255 00:14:02,360 --> 00:14:04,880 Speaker 3: They're building new products, they're shipping them out. They should 256 00:14:04,880 --> 00:14:05,400 Speaker 3: be watching that. 257 00:14:05,679 --> 00:14:07,680 Speaker 2: Dan, we'll leave it there, thank you so very much. 258 00:14:07,760 --> 00:14:10,880 Speaker 2: He is Daniel Newman, the CEO of Futureum Group, joining 259 00:14:10,920 --> 00:14:13,640 Speaker 2: from New York City here on the Daybreak Asia podcast. 260 00:14:21,320 --> 00:14:24,200 Speaker 2: Welcome back to the Daybreak Asia Podcast. I'm Doug Krisner 261 00:14:24,680 --> 00:14:28,080 Speaker 2: in New York. Trading US listed chairs in Silicon Motion 262 00:14:28,280 --> 00:14:32,400 Speaker 2: picked up twenty four percent as Taiwan based semiconductor device 263 00:14:32,440 --> 00:14:37,160 Speaker 2: maker reported second quarter results above expectations. Now, Silicon Motion 264 00:14:37,360 --> 00:14:41,400 Speaker 2: also gave a revenue forecast much stronger than expected. The 265 00:14:41,440 --> 00:14:45,360 Speaker 2: CFO of Silicon Motion is Jason Sai. He spoke with 266 00:14:45,400 --> 00:14:48,600 Speaker 2: Bloomberg TV host David Englase and ivon Man. 267 00:14:48,720 --> 00:14:50,960 Speaker 5: Jason, it's great to have you back on earnings and 268 00:14:51,000 --> 00:14:53,960 Speaker 5: post earnings, certainly as what the market was liking. Here 269 00:14:54,160 --> 00:14:57,040 Speaker 5: was the guidance for the third quarter, and of course 270 00:14:57,120 --> 00:14:59,120 Speaker 5: these blowout earnings from your side of things of the 271 00:14:59,160 --> 00:15:02,520 Speaker 5: second what does it tell you about where you can 272 00:15:02,600 --> 00:15:05,560 Speaker 5: still gain market share and really how sustainable this momentum 273 00:15:05,600 --> 00:15:06,120 Speaker 5: is now. 274 00:15:08,800 --> 00:15:10,920 Speaker 6: Yeah, thanks for having me on the show again. I 275 00:15:10,960 --> 00:15:12,920 Speaker 6: really appreciate it. Look, I think if you take a 276 00:15:12,920 --> 00:15:15,720 Speaker 6: look at our core business over the course of the 277 00:15:15,800 --> 00:15:18,160 Speaker 6: last many years, you know, we've been very consumer centric 278 00:15:18,200 --> 00:15:21,280 Speaker 6: PCs and smartphones, and obviously we've seen all the data 279 00:15:21,320 --> 00:15:24,200 Speaker 6: points around the weakness in these markets driven by high 280 00:15:24,280 --> 00:15:25,760 Speaker 6: cost of memory and storage. 281 00:15:26,120 --> 00:15:27,600 Speaker 7: We've been gaining a lot of share here. 282 00:15:27,640 --> 00:15:29,680 Speaker 6: We've been laying the foundation for a lot of share 283 00:15:29,720 --> 00:15:32,120 Speaker 6: game with the flash makers, with the module makers, and 284 00:15:32,200 --> 00:15:36,680 Speaker 6: so we've far exceeded any you know, the end market 285 00:15:36,800 --> 00:15:40,040 Speaker 6: results because of the share game, because we're upgrading to 286 00:15:40,400 --> 00:15:43,040 Speaker 6: higher end products and so that business, the core business 287 00:15:43,040 --> 00:15:45,120 Speaker 6: continues to execute. 288 00:15:44,720 --> 00:15:46,880 Speaker 7: Extremely well in the difficult environment. 289 00:15:46,920 --> 00:15:51,480 Speaker 6: I think what investors have really liked is diversifying our business. 290 00:15:52,120 --> 00:15:55,880 Speaker 6: Our automotive fare eye solutions have done extremely well. 291 00:15:55,960 --> 00:15:57,560 Speaker 7: That's scaling incredibly well. 292 00:15:57,960 --> 00:16:01,800 Speaker 6: Our enterprise boot drive business is scaling incredibly well, and 293 00:16:01,840 --> 00:16:04,280 Speaker 6: that's going that's becoming a bigger and bigger portion of 294 00:16:04,320 --> 00:16:07,400 Speaker 6: our business. And then you know, our enterprise controller business 295 00:16:07,680 --> 00:16:10,160 Speaker 6: is you know, it was zero a year ago and 296 00:16:10,240 --> 00:16:12,520 Speaker 6: you know, exiting this year, we expect that to be 297 00:16:12,560 --> 00:16:14,080 Speaker 6: five to ten percent of our business. 298 00:16:14,120 --> 00:16:16,160 Speaker 7: And that started to scale in the second quarter. 299 00:16:16,280 --> 00:16:20,280 Speaker 6: So we're really seeing a really nice diversification of our 300 00:16:20,320 --> 00:16:23,320 Speaker 6: business playing out. We're confident that we can grow our 301 00:16:23,360 --> 00:16:26,000 Speaker 6: business in excess of one hundred percent this year. So 302 00:16:26,160 --> 00:16:29,000 Speaker 6: from you know, eight hundred plus million last year to 303 00:16:29,360 --> 00:16:31,320 Speaker 6: you know, one hundred percent of that. There's more than 304 00:16:31,360 --> 00:16:34,480 Speaker 6: one hundred percent of that this year. Gross margins are improving, 305 00:16:34,640 --> 00:16:38,360 Speaker 6: operating leverage is coming in along with it. So overall, 306 00:16:38,920 --> 00:16:43,800 Speaker 6: driven by strengthen the core business, expanding opportunities, improving profitability, 307 00:16:44,040 --> 00:16:48,520 Speaker 6: and responsible expense management. You know, I think we're we're 308 00:16:48,560 --> 00:16:50,440 Speaker 6: really excited by it, not just what the rest of 309 00:16:50,440 --> 00:16:52,560 Speaker 6: this year holds, but certainly going into twenty seven and 310 00:16:52,560 --> 00:16:53,120 Speaker 6: twenty eight. 311 00:16:54,520 --> 00:16:58,080 Speaker 8: I mean, things look fantastic in all fronts. And I 312 00:16:58,080 --> 00:17:00,480 Speaker 8: think the fact that you, you know, you out performed 313 00:17:00,520 --> 00:17:03,040 Speaker 8: your guidance, I think my first question there then would 314 00:17:03,080 --> 00:17:09,080 Speaker 8: be you've given guidance out. I mean, how visible is it. 315 00:17:09,119 --> 00:17:11,880 Speaker 8: I mean, it's great to have a number out there, 316 00:17:11,960 --> 00:17:13,719 Speaker 8: but I just want to get a sense really of 317 00:17:13,840 --> 00:17:18,640 Speaker 8: underlying demand where it seems companies are giving out guidance 318 00:17:18,680 --> 00:17:21,440 Speaker 8: and just outperforming what they give out. 319 00:17:24,880 --> 00:17:26,640 Speaker 6: You know, for us, there was a lot of things 320 00:17:26,680 --> 00:17:30,760 Speaker 6: that happened Interracorder, right, you know, demand spikes more than expected, 321 00:17:30,920 --> 00:17:35,280 Speaker 6: Our customers are seeing better sell through, our customers are 322 00:17:35,400 --> 00:17:37,359 Speaker 6: upgrading the components that they're ordering. 323 00:17:37,680 --> 00:17:39,680 Speaker 7: All these things are happening Intracorder. 324 00:17:39,800 --> 00:17:42,120 Speaker 6: You know, we've got inventory that can support that type 325 00:17:42,119 --> 00:17:44,880 Speaker 6: of dynamic movement. But you know, as some of these 326 00:17:44,880 --> 00:17:49,120 Speaker 6: new businesses scale, new customers scale, sometimes early on they're 327 00:17:49,160 --> 00:17:51,959 Speaker 6: not necessarily as confident on kind of the scale of 328 00:17:52,000 --> 00:17:55,840 Speaker 6: that ramp, and as that ramp happens, they become more 329 00:17:55,880 --> 00:18:00,879 Speaker 6: confident on what demand looks like and they upsize the orders, 330 00:18:01,040 --> 00:18:04,440 Speaker 6: and so yes, I think, you know, we always try 331 00:18:04,480 --> 00:18:07,080 Speaker 6: to give a balance view on what guidance us a 332 00:18:07,080 --> 00:18:09,360 Speaker 6: realistic view on kind of what we think we can do. 333 00:18:09,840 --> 00:18:13,080 Speaker 6: But certainly, you know, the hope is that you know, 334 00:18:13,160 --> 00:18:16,560 Speaker 6: the customers are seeing better demand, and I think we're 335 00:18:16,600 --> 00:18:19,480 Speaker 6: certainly seeing that through the share gains and through the 336 00:18:20,200 --> 00:18:23,840 Speaker 6: advancements into new markets, new businesses and new customers. 337 00:18:24,240 --> 00:18:26,720 Speaker 7: One of the things that we really are croud of. 338 00:18:26,800 --> 00:18:29,879 Speaker 6: Is a lot of these new businesses, the visibility and 339 00:18:29,960 --> 00:18:34,280 Speaker 6: the durability is great. These are products, our solutions are 340 00:18:34,280 --> 00:18:36,719 Speaker 6: going into products that are you know, in cars and 341 00:18:36,760 --> 00:18:42,040 Speaker 6: base stations and data centers that are part of devices 342 00:18:42,080 --> 00:18:44,840 Speaker 6: that are tens of thousands, hundreds of thousands, millions of dollars, 343 00:18:44,880 --> 00:18:48,160 Speaker 6: and so you know, that type of visibility, that type 344 00:18:48,200 --> 00:18:53,400 Speaker 6: of design when has better visibility, it's it's higher barriers 345 00:18:53,440 --> 00:18:57,520 Speaker 6: to entry, gives us longer term understanding as to kind 346 00:18:57,560 --> 00:18:59,679 Speaker 6: of how we need to source, what we need to source, 347 00:19:00,080 --> 00:19:02,240 Speaker 6: what inventory we need to have. So it really helps 348 00:19:02,320 --> 00:19:05,080 Speaker 6: drive that long term visibility for us and gives us 349 00:19:05,080 --> 00:19:08,240 Speaker 6: confidence on you not just second quarter or third quarter 350 00:19:08,320 --> 00:19:14,560 Speaker 6: doing well, but next two years, three years doing well again. 351 00:19:14,640 --> 00:19:17,120 Speaker 8: Don't get me wrong, that's a fantastic problem to have. 352 00:19:18,400 --> 00:19:22,960 Speaker 8: What are your conversations like now with your suppliers. I 353 00:19:22,960 --> 00:19:26,760 Speaker 8: just want to understand how you're managing your future capacity 354 00:19:26,760 --> 00:19:29,200 Speaker 8: as most demand comes online. 355 00:19:31,480 --> 00:19:35,120 Speaker 6: Yeah, you know, I think that's well known that TSMC 356 00:19:35,440 --> 00:19:39,480 Speaker 6: and a lot of the substrate folks are tied on capacity. 357 00:19:39,520 --> 00:19:41,480 Speaker 7: Substrate availability is tight. 358 00:19:42,000 --> 00:19:45,080 Speaker 6: We're fortunate that we're one of the top customers of 359 00:19:45,160 --> 00:19:47,560 Speaker 6: TSMC and we've been a great They've been a great 360 00:19:47,560 --> 00:19:48,200 Speaker 6: partner of ours. 361 00:19:48,240 --> 00:19:48,960 Speaker 7: We've been a great. 362 00:19:48,760 --> 00:19:52,280 Speaker 6: Partner of them for twenty plus years, so you know, 363 00:19:52,600 --> 00:19:55,840 Speaker 6: they've always been very helpful for us in being able 364 00:19:55,880 --> 00:20:00,520 Speaker 6: to expand our capacity, expand our allocation, expand are way 365 00:20:00,560 --> 00:20:04,200 Speaker 6: for availability in real time, and so working with them 366 00:20:04,240 --> 00:20:07,119 Speaker 6: closely to ensure that we've got a good understanding as 367 00:20:07,160 --> 00:20:09,160 Speaker 6: to kind of what the base case looks like versus 368 00:20:09,240 --> 00:20:11,439 Speaker 6: kind of what upside looks like, and being having that 369 00:20:11,520 --> 00:20:14,919 Speaker 6: ability to flex with them. Substrates, you know, as you 370 00:20:14,960 --> 00:20:18,120 Speaker 6: guys all know, has been tight. Our customers have been 371 00:20:18,320 --> 00:20:21,840 Speaker 6: willing to work with us to find alternative substrates that 372 00:20:21,920 --> 00:20:25,639 Speaker 6: help ease some of those supply constraints. We've got you know, 373 00:20:25,800 --> 00:20:29,000 Speaker 6: a tier, you know, just best in class operations team 374 00:20:29,040 --> 00:20:31,480 Speaker 6: that have been on this since the very early days 375 00:20:31,520 --> 00:20:35,040 Speaker 6: and so have been ahead of making sure that as 376 00:20:35,119 --> 00:20:38,879 Speaker 6: substrate availability becomes tighter and tighter, we've got alternatives that 377 00:20:38,920 --> 00:20:43,000 Speaker 6: we can scale with our customers. So we're confident that 378 00:20:43,359 --> 00:20:46,320 Speaker 6: even as the business more than doubles this year, we've 379 00:20:46,320 --> 00:20:48,840 Speaker 6: got the capacity to support that. 380 00:20:50,920 --> 00:20:53,200 Speaker 5: You talked about these these ramp ups that you had 381 00:20:53,200 --> 00:20:56,080 Speaker 5: obviously with Nvidio. I think you have one coming up 382 00:20:56,080 --> 00:20:59,479 Speaker 5: with Google as well. Can you tell us a bit 383 00:20:59,480 --> 00:21:01,040 Speaker 5: more about me seems like you're seeing a lot of 384 00:21:01,040 --> 00:21:05,320 Speaker 5: growth on that front here. Should I be worried about 385 00:21:05,320 --> 00:21:09,399 Speaker 5: concentration risk in any event that you know, we start 386 00:21:09,400 --> 00:21:12,240 Speaker 5: to see volumes start to fade a little bit, or 387 00:21:12,280 --> 00:21:14,760 Speaker 5: that you know, this ramp up is actually going to 388 00:21:14,760 --> 00:21:15,719 Speaker 5: be delayed as anyway. 389 00:21:18,200 --> 00:21:20,600 Speaker 6: Yeah, So a lot of these programs that you're referring to, 390 00:21:20,760 --> 00:21:23,600 Speaker 6: you know, coming in later this year, going into twenty seven, 391 00:21:23,680 --> 00:21:26,879 Speaker 6: driving growth twenty seven and twenty eighth as well. But 392 00:21:27,359 --> 00:21:30,119 Speaker 6: these are you know, certainly some examples that folks have 393 00:21:30,200 --> 00:21:33,280 Speaker 6: talked about, but behind the scenes, it's a much broader 394 00:21:33,400 --> 00:21:38,360 Speaker 6: range of customers and markets solutions that we're supporting, right, 395 00:21:39,480 --> 00:21:42,680 Speaker 6: you know, we've got a teleco company for one of 396 00:21:42,720 --> 00:21:45,600 Speaker 6: the largest teleco equipment companies out there work using our 397 00:21:46,440 --> 00:21:48,360 Speaker 6: boot drives for their base stations. 398 00:21:48,400 --> 00:21:50,200 Speaker 7: That'll start scaling the back half of the year. 399 00:21:50,480 --> 00:21:55,000 Speaker 6: We've got virtually every automaker around the world, whether it's 400 00:21:55,240 --> 00:21:58,520 Speaker 6: you know, traditional internal combustion engine, whether it's battery electric, 401 00:21:58,600 --> 00:22:02,240 Speaker 6: whether it's autonomous, what have you. Right, we have virtually 402 00:22:02,240 --> 00:22:04,600 Speaker 6: every automaker using our solutions as well. 403 00:22:04,680 --> 00:22:06,280 Speaker 7: So, you know, point being is that a. 404 00:22:06,240 --> 00:22:09,960 Speaker 6: Lot of this growing business is scaling across a very 405 00:22:10,000 --> 00:22:13,240 Speaker 6: broad range of customers. Certainly people like to talk about 406 00:22:13,280 --> 00:22:15,639 Speaker 6: the largest GPU company or the largest search company, and 407 00:22:15,640 --> 00:22:17,840 Speaker 6: those are you know, big names to be associated with, 408 00:22:17,840 --> 00:22:20,680 Speaker 6: and we're certainly very proud of the wins we have there. 409 00:22:21,080 --> 00:22:22,920 Speaker 6: But if you just kind of double click a little 410 00:22:22,960 --> 00:22:26,480 Speaker 6: bit beyond that, you know, the breadth and scale of 411 00:22:26,600 --> 00:22:30,200 Speaker 6: other customers is pretty fantastic as well. So it's a 412 00:22:30,240 --> 00:22:34,640 Speaker 6: really diversified business, diversified end markets, a diversified customer base 413 00:22:34,920 --> 00:22:38,800 Speaker 6: that we have, and so we're not we're not concerned 414 00:22:38,800 --> 00:22:42,680 Speaker 6: that there's going to be an outsized contribution from one customer, 415 00:22:42,840 --> 00:22:46,920 Speaker 6: one product or one vertical that's going to have issues 416 00:22:47,000 --> 00:22:49,160 Speaker 6: down the road, and that's you know, for our business. 417 00:22:49,200 --> 00:22:53,199 Speaker 6: Having the diversification helps us kind of work through the 418 00:22:53,240 --> 00:22:56,719 Speaker 6: psychicality of certain end markets in any given period, right, 419 00:22:56,760 --> 00:22:59,880 Speaker 6: Having that wide range of end markets helps smooth that out. 420 00:23:01,400 --> 00:23:03,719 Speaker 5: Yeah, and certainly, I mean, as you say, you're shifting 421 00:23:03,760 --> 00:23:05,800 Speaker 5: beyond just the consumer driven set of things, but I 422 00:23:05,800 --> 00:23:08,480 Speaker 5: guess it is still a headwind for so like emotion 423 00:23:08,760 --> 00:23:12,119 Speaker 5: is of course the potential slow down what we're seeing 424 00:23:12,119 --> 00:23:14,439 Speaker 5: in the PC market, smarophone market. I think during the 425 00:23:14,480 --> 00:23:18,359 Speaker 5: analyst call, you guys were asked about the China outlook there. 426 00:23:18,920 --> 00:23:21,280 Speaker 5: What is the demand picture looking like to you on 427 00:23:21,320 --> 00:23:23,239 Speaker 5: that front here and what do you think is going 428 00:23:23,280 --> 00:23:24,359 Speaker 5: to be the outlook way forward? 429 00:23:26,560 --> 00:23:28,480 Speaker 6: Yeah, we're certainly seeing that, right, I mean, I think 430 00:23:28,520 --> 00:23:31,120 Speaker 6: certainly on especially on the low end in China, it's 431 00:23:31,160 --> 00:23:33,040 Speaker 6: been an incredibly difficult market there. 432 00:23:33,920 --> 00:23:36,000 Speaker 7: We don't really do a whole lot on the low end. 433 00:23:36,040 --> 00:23:39,960 Speaker 6: We're more mainstream to premium side, so and that's where 434 00:23:40,000 --> 00:23:42,680 Speaker 6: a lot of the hands at OEMs are focusing more 435 00:23:42,680 --> 00:23:45,760 Speaker 6: of their attention on a low end handset. The cost 436 00:23:45,800 --> 00:23:49,400 Speaker 6: of memory, the cost of DRAM and nand far exceeds 437 00:23:49,520 --> 00:23:52,920 Speaker 6: kind of the affordability of that product. 438 00:23:52,960 --> 00:23:56,160 Speaker 7: So where you're seeing the biggest hit in unit volume 439 00:23:56,240 --> 00:23:57,640 Speaker 7: and demand is on the low end. 440 00:23:58,280 --> 00:24:01,640 Speaker 6: Mainstream premium ones are still holding up a little bit better, 441 00:24:01,680 --> 00:24:05,040 Speaker 6: and that's where we see most of our business, and 442 00:24:05,080 --> 00:24:07,800 Speaker 6: certainly the share games that we've talked about here is 443 00:24:08,040 --> 00:24:09,160 Speaker 6: doing wonders. 444 00:24:09,200 --> 00:24:10,040 Speaker 7: We're going to be, you. 445 00:24:10,080 --> 00:24:14,360 Speaker 6: Know, almost doubling our smartphone related business this year, consumer 446 00:24:14,400 --> 00:24:18,280 Speaker 6: and IoT to related business this year. Our client SSDs 447 00:24:18,359 --> 00:24:21,320 Speaker 6: against similar dynamic low end is where you're seeing a 448 00:24:21,359 --> 00:24:23,800 Speaker 6: lot more of the pressure. We're not so much at 449 00:24:23,800 --> 00:24:25,800 Speaker 6: the low end. We're in the mainstream to higher end. 450 00:24:26,960 --> 00:24:29,639 Speaker 6: We're you know, first half this year we've grown forty 451 00:24:29,680 --> 00:24:32,560 Speaker 6: percent year on year, and certainly that's in the face 452 00:24:32,640 --> 00:24:36,080 Speaker 6: of a very challenging PC market. And so overall, I 453 00:24:36,080 --> 00:24:38,560 Speaker 6: think the story that we've been talking about, the foundation 454 00:24:38,680 --> 00:24:41,560 Speaker 6: that we've been building in share gains has really been 455 00:24:41,680 --> 00:24:45,840 Speaker 6: continue to pay dividends. We're seeing flashmakers being less interested 456 00:24:45,880 --> 00:24:49,399 Speaker 6: in the space, more interested in outsourcing, more interested in 457 00:24:49,440 --> 00:24:52,840 Speaker 6: working with us, and that's helping drive a lot of opportunities. 458 00:24:53,200 --> 00:24:57,240 Speaker 2: That was Jason Si, CFO at Silicon Motion, speaking with 459 00:24:57,240 --> 00:25:00,320 Speaker 2: Bloomberg TV host David and Glace and of on Men 460 00:25:00,560 --> 00:25:03,840 Speaker 2: bringing you their conversation here on the Daybreak Asia Podcast. 461 00:25:06,280 --> 00:25:09,640 Speaker 2: Thanks for listening to today's episode of the Bloomberg Daybreak 462 00:25:09,840 --> 00:25:13,200 Speaker 2: Asia Edition podcast. Each weekday, we look at the story 463 00:25:13,280 --> 00:25:17,600 Speaker 2: shaping markets, finance, and geopolitics in the Asia Pacific. You 464 00:25:17,640 --> 00:25:21,760 Speaker 2: can find us on Apple, Spotify, the Bloomberg Podcast YouTube channel, 465 00:25:21,880 --> 00:25:24,879 Speaker 2: or anywhere else you listen. Join us again tomorrow for 466 00:25:25,000 --> 00:25:28,520 Speaker 2: insight on the market moves from Hong Kong to Singapore 467 00:25:28,920 --> 00:25:32,679 Speaker 2: and Australia. I'm Doug Chrisner, and this is Bloomberg