1 00:00:00,040 --> 00:00:10,680 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:11,520 --> 00:00:14,680 Speaker 2: Welcome to the Daybreak Asia podcast. I'm Doug Chrisner. We're 3 00:00:14,720 --> 00:00:17,960 Speaker 2: getting some details on the investments Japan will be making 4 00:00:18,000 --> 00:00:21,520 Speaker 2: in the US. Today, President Trump announced the first trash 5 00:00:21,640 --> 00:00:25,040 Speaker 2: worth thirty six billion dollars. Now. This will cover a 6 00:00:25,120 --> 00:00:28,120 Speaker 2: gas power plant in Ohio, as well as a critical 7 00:00:28,160 --> 00:00:32,360 Speaker 2: mineral site in Georgia and a liquefied natural gas facility 8 00:00:32,400 --> 00:00:35,599 Speaker 2: in Texas. This funding is part of the trade agreement 9 00:00:35,600 --> 00:00:37,800 Speaker 2: between the US and Japan, and as a part of 10 00:00:37,800 --> 00:00:41,040 Speaker 2: that deal, Japan committed to a total of five hundred 11 00:00:41,040 --> 00:00:44,680 Speaker 2: and fifty billion dollars for investments in the States. For 12 00:00:44,760 --> 00:00:48,320 Speaker 2: a closer look, I'm joined by Bloomberg's Isabelle Reynolds. Isabel 13 00:00:48,520 --> 00:00:52,280 Speaker 2: is our Tokyo bureau chief, Isabelle. Thank you for being here. 14 00:00:52,640 --> 00:00:55,640 Speaker 2: Today was interesting. In a post on social media, President 15 00:00:55,640 --> 00:00:58,600 Speaker 2: Trump said this could not have been done without one 16 00:00:58,840 --> 00:01:04,640 Speaker 2: very special word, tariffs. Can we agree that tariffs apply 17 00:01:04,760 --> 00:01:07,760 Speaker 2: the necessary leverage to get Japan to commit to these 18 00:01:07,800 --> 00:01:08,680 Speaker 2: investment dollars. 19 00:01:09,200 --> 00:01:12,760 Speaker 3: It's a little bit difficult to say because we don't 20 00:01:12,800 --> 00:01:15,319 Speaker 3: know the details yet. We're just waiting actually right now 21 00:01:15,360 --> 00:01:18,720 Speaker 3: to hear from the government about exactly what is going on, 22 00:01:19,000 --> 00:01:22,880 Speaker 3: who's investing, where, what's happening. One thing we're always wary 23 00:01:22,920 --> 00:01:25,319 Speaker 3: of with these government announcements is you know, how much 24 00:01:25,360 --> 00:01:28,640 Speaker 3: of this is actually new, So we really need to 25 00:01:28,680 --> 00:01:31,520 Speaker 3: know that before we can sort of definitively say, okay, 26 00:01:31,680 --> 00:01:35,160 Speaker 3: tariffs really force Japan with the leverage that forced Japan 27 00:01:35,200 --> 00:01:35,800 Speaker 3: into doing this. 28 00:01:35,920 --> 00:01:39,520 Speaker 2: Do you have a sense of the balance between let's say, 29 00:01:39,640 --> 00:01:42,760 Speaker 2: private sector funding versus anything that the government may offer. 30 00:01:43,440 --> 00:01:45,480 Speaker 3: Well, what we've heard from the government all along is 31 00:01:45,520 --> 00:01:49,000 Speaker 3: basically most of the vast majority of what they'll be 32 00:01:49,040 --> 00:01:51,800 Speaker 3: offering is basically loan guarantees and things like that, So 33 00:01:51,880 --> 00:01:54,960 Speaker 3: it won't actually be government money as far as I know. 34 00:01:55,120 --> 00:01:57,920 Speaker 3: It's all coming from the private sector. And that is 35 00:01:58,080 --> 00:01:59,720 Speaker 3: you know, it's a huge amount of money to come 36 00:01:59,760 --> 00:02:01,800 Speaker 3: from private sector. So that's one of the things we'll 37 00:02:01,840 --> 00:02:05,200 Speaker 3: be chasing today to find out which of the financial 38 00:02:05,200 --> 00:02:08,519 Speaker 3: institutions in Tokyo are involved in this, how exactly they're 39 00:02:08,520 --> 00:02:11,600 Speaker 3: going to find this thirty six billion dollars, which is 40 00:02:11,639 --> 00:02:14,320 Speaker 3: a small proportion of what Japan has promised, but it's 41 00:02:14,320 --> 00:02:15,720 Speaker 3: still a very large sum of money. 42 00:02:15,800 --> 00:02:19,120 Speaker 2: So this deal was put together prior to Prime Minister 43 00:02:19,240 --> 00:02:23,800 Speaker 2: Takeiichi becoming the first female prime minister in Japan. Is 44 00:02:24,760 --> 00:02:26,840 Speaker 2: there the expectation that she is going to kind of 45 00:02:26,880 --> 00:02:30,120 Speaker 2: continue with this agreement, or is there perhaps a small 46 00:02:30,240 --> 00:02:32,440 Speaker 2: risk that things get modified slightly. 47 00:02:33,680 --> 00:02:36,640 Speaker 3: I think Japan is certainly very anxious to make a 48 00:02:36,680 --> 00:02:39,120 Speaker 3: good impression on Donald Trump. There was a report in 49 00:02:39,320 --> 00:02:41,520 Speaker 3: a Japanese media a few weeks ago that he was 50 00:02:41,560 --> 00:02:44,840 Speaker 3: angry that these investment deals hadn't yet come to fruition, 51 00:02:45,639 --> 00:02:47,839 Speaker 3: So I think the pressure is certainly still on there, 52 00:02:48,200 --> 00:02:50,560 Speaker 3: and I think this is very important to Donald Trump. 53 00:02:50,639 --> 00:02:52,359 Speaker 3: He wants to be seen to have brought in this 54 00:02:52,720 --> 00:02:55,560 Speaker 3: investment into the US, so I think it will be 55 00:02:55,720 --> 00:02:58,080 Speaker 3: difficult for Japan to riggle out of it. 56 00:02:58,240 --> 00:03:00,400 Speaker 2: Do you have a sense of how the publican Japan 57 00:03:00,840 --> 00:03:02,400 Speaker 2: views this program. 58 00:03:03,440 --> 00:03:07,560 Speaker 3: I think take She's seen as basically handling Donald Trump 59 00:03:07,639 --> 00:03:11,440 Speaker 3: pretty well. What Japanese people tend to be concerned about 60 00:03:11,520 --> 00:03:15,000 Speaker 3: is the tariffs, and obviously this deal was intended to 61 00:03:15,360 --> 00:03:18,240 Speaker 3: protect Japan from the twenty five percent tariffs that could 62 00:03:18,280 --> 00:03:21,600 Speaker 3: have been imposed if they hadn't done this, So I 63 00:03:21,639 --> 00:03:24,440 Speaker 3: think largely they're thinking, well, they may not be in 64 00:03:24,480 --> 00:03:26,760 Speaker 3: favor of doing it, but they may think it's inevitable 65 00:03:26,760 --> 00:03:29,320 Speaker 3: if they want to get away with doing trade with 66 00:03:29,400 --> 00:03:29,880 Speaker 3: the US. 67 00:03:30,000 --> 00:03:32,799 Speaker 2: What is your sense of the relationship between Prime Minister 68 00:03:32,919 --> 00:03:34,640 Speaker 2: Takeichi and President Trump. 69 00:03:35,800 --> 00:03:38,200 Speaker 3: I think in some ways they're on the same wavelength, 70 00:03:38,600 --> 00:03:41,640 Speaker 3: and certainly on social media, Donald Trump has expressed his 71 00:03:42,200 --> 00:03:46,400 Speaker 3: sort of praise and compliments for her several times. She's 72 00:03:46,400 --> 00:03:49,480 Speaker 3: certainly achieved something that no one else has ever done 73 00:03:49,520 --> 00:03:52,400 Speaker 3: in Japan before in becoming the first female prime minister. 74 00:03:52,480 --> 00:03:55,480 Speaker 3: She's come from nowhere rather than coming from a political dynasty. 75 00:03:55,560 --> 00:03:57,960 Speaker 3: So I think he must certainly have a degree of 76 00:03:58,000 --> 00:04:00,760 Speaker 3: respect for her. What she thinks of him as is 77 00:04:01,000 --> 00:04:03,240 Speaker 3: possibly a little bit less obvious. I mean, she's very 78 00:04:03,280 --> 00:04:06,880 Speaker 3: good at conveying a sense of friendliness towards him, and 79 00:04:06,920 --> 00:04:08,800 Speaker 3: I think that's what counts. You know, what she really 80 00:04:08,840 --> 00:04:10,080 Speaker 3: feels doesn't necessarily matter. 81 00:04:10,400 --> 00:04:13,480 Speaker 2: So the US is getting investment dollars from Japan, and 82 00:04:13,560 --> 00:04:17,279 Speaker 2: at the same time, Japan is getting greater access, perhaps 83 00:04:17,320 --> 00:04:20,560 Speaker 2: to American markets. But when I think about what Prime 84 00:04:20,560 --> 00:04:23,760 Speaker 2: Minister Takeiichi is doing in terms of the increase on 85 00:04:23,920 --> 00:04:27,080 Speaker 2: defense spending, do you think it's likely that the Japanese 86 00:04:27,080 --> 00:04:31,800 Speaker 2: government will look to the United States for armaments or 87 00:04:31,920 --> 00:04:35,159 Speaker 2: any type of military hardware to help the Prime Minister 88 00:04:35,240 --> 00:04:35,880 Speaker 2: reach her goal. 89 00:04:37,360 --> 00:04:41,480 Speaker 3: Certainly, I mean Japan has long, long been reliant almost 90 00:04:41,680 --> 00:04:44,240 Speaker 3: entirely on the US. Apart from its own armaments, It's 91 00:04:44,600 --> 00:04:47,880 Speaker 3: reliant almost entirely on the US for any arms imports. 92 00:04:48,440 --> 00:04:51,960 Speaker 3: So certainly Japan will be looking to probably buy more. 93 00:04:52,640 --> 00:04:56,360 Speaker 3: We already had a huge expansion in defense spending in 94 00:04:56,360 --> 00:04:58,839 Speaker 3: the pipeline when she came to office. She's promised to 95 00:04:58,839 --> 00:05:02,520 Speaker 3: bring that forward, wants to spend it faster. What exactly 96 00:05:02,560 --> 00:05:04,520 Speaker 3: she's going to spend it on, that's still a little 97 00:05:04,520 --> 00:05:08,400 Speaker 3: bit unclear. She's giving her first policy speech after her 98 00:05:09,040 --> 00:05:11,680 Speaker 3: huge election victory that's coming on Friday, so we may 99 00:05:11,720 --> 00:05:15,040 Speaker 3: hear some more details there. But one of the problems 100 00:05:15,040 --> 00:05:18,200 Speaker 3: that's come up over the years is that Japan can 101 00:05:18,480 --> 00:05:21,200 Speaker 3: buy these things. It it pays for this equipment on 102 00:05:21,240 --> 00:05:23,799 Speaker 3: once to have it. The US has been very slow 103 00:05:23,839 --> 00:05:25,800 Speaker 3: at producing it, so a lot of things that they've 104 00:05:25,920 --> 00:05:28,640 Speaker 3: ordered and paid for maybe haven't arrived yet. I think 105 00:05:28,680 --> 00:05:30,640 Speaker 3: that's more of the issue that we've been facing recently. 106 00:05:30,800 --> 00:05:33,440 Speaker 2: So can we take a step back, help me understand 107 00:05:33,440 --> 00:05:35,520 Speaker 2: a little bit about what's going on in Japan right 108 00:05:35,520 --> 00:05:39,599 Speaker 2: now economically. Are things beginning to turn a corner here? 109 00:05:39,680 --> 00:05:42,760 Speaker 2: I mean, I know we are dealing with persistently high inflation. 110 00:05:42,920 --> 00:05:46,440 Speaker 2: There's been some concern over growth, but how are things 111 00:05:46,480 --> 00:05:47,760 Speaker 2: functioning in the economy. 112 00:05:48,440 --> 00:05:51,719 Speaker 3: Yes, well, the inflation issue hasn't gone anywhere. We're still 113 00:05:51,720 --> 00:05:55,680 Speaker 3: seeing a huge price increases, well, relatively huge by Japanese standards, 114 00:05:55,760 --> 00:05:59,080 Speaker 3: price increases that means the standard of living for people 115 00:05:59,120 --> 00:06:03,120 Speaker 3: who's wages are not going up so fast is definitely 116 00:06:03,680 --> 00:06:08,520 Speaker 3: not it's falling, so people are still unhappy. Has promised 117 00:06:08,520 --> 00:06:10,240 Speaker 3: to do something about that in the short run, in 118 00:06:10,360 --> 00:06:13,840 Speaker 3: terms of suspending the sales tax on food, so these 119 00:06:13,880 --> 00:06:17,080 Speaker 3: people would have the basics at a lower price point, 120 00:06:17,440 --> 00:06:19,640 Speaker 3: And she's promised to look in the longer term at 121 00:06:19,680 --> 00:06:22,800 Speaker 3: ways of cutting the amount that people have to spend 122 00:06:22,880 --> 00:06:25,880 Speaker 3: on social security, each amount that's taken out of their 123 00:06:25,880 --> 00:06:28,640 Speaker 3: salary each month. So she's looking at ways to deal 124 00:06:28,680 --> 00:06:30,919 Speaker 3: with that, but at this point that hasn't happened yet. 125 00:06:31,440 --> 00:06:34,719 Speaker 3: She's a very forceful personality, so I imagine that Japanese people 126 00:06:34,800 --> 00:06:37,240 Speaker 3: kind of trust her to think that she's going to 127 00:06:37,240 --> 00:06:39,480 Speaker 3: push through with this, but it hasn't happened yet, and 128 00:06:39,520 --> 00:06:40,760 Speaker 3: so people are still suffering. 129 00:06:41,000 --> 00:06:44,000 Speaker 2: So if she has promised an increase in fiscal spending, 130 00:06:44,040 --> 00:06:46,400 Speaker 2: I'm just wondering about the possibility of a little bit 131 00:06:46,400 --> 00:06:49,680 Speaker 2: of resentment creeping into the story when you consider the 132 00:06:49,720 --> 00:06:52,479 Speaker 2: fact that Japan has committed a total of five hundred 133 00:06:52,520 --> 00:06:55,360 Speaker 2: and fifty billion dollars for investments in the US. 134 00:06:56,360 --> 00:06:58,560 Speaker 3: Oh well, I mean, Japan has a long history of 135 00:06:58,880 --> 00:07:03,440 Speaker 3: various resentments again the US, but ultimately, Japan relies on 136 00:07:03,480 --> 00:07:05,479 Speaker 3: the US for its defense. It has this huge and 137 00:07:05,520 --> 00:07:08,279 Speaker 3: threatening neighbor, or at least one neighbor, probably two neighbors 138 00:07:08,880 --> 00:07:11,560 Speaker 3: that it's pretty scared of, and it feels that it 139 00:07:11,600 --> 00:07:15,120 Speaker 3: needs this ally to help it, to help it and 140 00:07:15,240 --> 00:07:19,800 Speaker 3: secure its secure its territory. So, you know, whatever resentments 141 00:07:20,200 --> 00:07:22,280 Speaker 3: may build up, I don't think they will ever be 142 00:07:22,440 --> 00:07:26,680 Speaker 3: enough for Japan to sort of reject the relationship with 143 00:07:26,720 --> 00:07:27,160 Speaker 3: the US. 144 00:07:27,240 --> 00:07:30,160 Speaker 2: Prime Minister Takichi is said to be in Washington to 145 00:07:30,400 --> 00:07:34,320 Speaker 2: meet with President Trump mid March. Can we speculate on 146 00:07:34,440 --> 00:07:35,120 Speaker 2: her agenda. 147 00:07:36,120 --> 00:07:37,920 Speaker 3: I think they'll wants to sort of make the most 148 00:07:37,920 --> 00:07:41,280 Speaker 3: of this huge investment. That will be something that they'll 149 00:07:41,280 --> 00:07:45,400 Speaker 3: both want to sort of underscore. So she'll be hoping, 150 00:07:45,440 --> 00:07:48,240 Speaker 3: I think basically to keep Donald Trump on side. That 151 00:07:48,240 --> 00:07:51,640 Speaker 3: that is the that is the worst kind of motivating 152 00:07:51,680 --> 00:07:54,400 Speaker 3: factor behind Japan's relations with the US. 153 00:07:54,680 --> 00:07:57,280 Speaker 2: Isabelle will leave it there. Thank you so much. Bloomberg's 154 00:07:57,360 --> 00:08:01,160 Speaker 2: Isabelle Reynolds. She is our Tokyo bureau chief, joining from 155 00:08:01,280 --> 00:08:11,400 Speaker 2: the Japanese capital here on the Daybreak Asia podcast. Welcome 156 00:08:11,440 --> 00:08:14,600 Speaker 2: back to the Daybreak Asia Podcast. I'm Deck Chrisner. There 157 00:08:14,640 --> 00:08:19,040 Speaker 2: is simply no mistaking the disruptive power of artificial intelligence. 158 00:08:19,480 --> 00:08:23,320 Speaker 2: Today Anthropic released a new AI model aimed at using 159 00:08:23,400 --> 00:08:28,640 Speaker 2: PCs in increasingly complicated ways. Claude Sonnet four point six 160 00:08:28,760 --> 00:08:32,440 Speaker 2: can carry out actions that require multiple steps, such as 161 00:08:32,800 --> 00:08:36,400 Speaker 2: filling out web forms and then coordinating information across a 162 00:08:36,480 --> 00:08:39,839 Speaker 2: number of browser tabs. Now, it's clear the equity market 163 00:08:39,880 --> 00:08:43,599 Speaker 2: remains anxious over the ability of AI to disrupt many businesses. 164 00:08:44,040 --> 00:08:46,640 Speaker 2: For a closer look, let's bring in Jed Ellbrook. He 165 00:08:46,800 --> 00:08:50,240 Speaker 2: is portfolio manager at Argent Capital. Jed is on the 166 00:08:50,240 --> 00:08:53,560 Speaker 2: line from Saint Louis. Thank you for being here. Jed. 167 00:08:53,600 --> 00:08:56,440 Speaker 2: Give me your take on this wave of worry that 168 00:08:56,480 --> 00:08:58,840 Speaker 2: we have seen related to AI disruption. 169 00:09:00,600 --> 00:09:03,280 Speaker 4: Yeah, I think it's both. I do think the market 170 00:09:03,360 --> 00:09:05,959 Speaker 4: is shooting first in and asking questions later. The H 171 00:09:06,040 --> 00:09:09,640 Speaker 4: Robinson example from last week isn't a special extreme case 172 00:09:09,640 --> 00:09:11,480 Speaker 4: where like a little Penny Stock puts out of press 173 00:09:11,520 --> 00:09:15,560 Speaker 4: release and move H Robinson stock by fifteen percent. But 174 00:09:15,840 --> 00:09:20,800 Speaker 4: there are software businesses that will be disrupted. Their growth 175 00:09:20,800 --> 00:09:24,240 Speaker 4: will stop, their margins will shrink because the AI tools 176 00:09:24,280 --> 00:09:26,280 Speaker 4: are amazing and it's going to make that software less 177 00:09:26,360 --> 00:09:28,600 Speaker 4: valuable for businesses. So I think it's both. 178 00:09:29,200 --> 00:09:32,480 Speaker 2: So today we had a number of software companies releasing 179 00:09:32,520 --> 00:09:37,319 Speaker 2: earnings ahead of scheduled just to demonstrate their resilience. Obviously, 180 00:09:37,360 --> 00:09:40,480 Speaker 2: this wouldn't happen overnight. Is there a timeline in your 181 00:09:40,600 --> 00:09:45,480 Speaker 2: mind where AI really begins to hit these software companies? 182 00:09:46,960 --> 00:09:47,200 Speaker 3: Yeah? 183 00:09:47,440 --> 00:09:49,920 Speaker 4: I mean that's great. Releasing your results early is great. 184 00:09:50,280 --> 00:09:52,280 Speaker 4: Showing you at a good quarter, that's great. But that 185 00:09:52,520 --> 00:09:56,840 Speaker 4: will not satisfy investors' concerns because the concerns lie like 186 00:09:56,920 --> 00:09:59,440 Speaker 4: you're implying a couple of years out. There's nothing these 187 00:09:59,480 --> 00:10:01,920 Speaker 4: companies can showing their financials this quarter or next quarter 188 00:10:01,960 --> 00:10:06,240 Speaker 4: that's going to ease people's fears. People fear that a 189 00:10:06,000 --> 00:10:08,040 Speaker 4: couple of years from now, the AA tools are going 190 00:10:08,080 --> 00:10:10,080 Speaker 4: to keep getting better and better at this incredible rate, 191 00:10:10,280 --> 00:10:14,200 Speaker 4: and these software companies growth will stop. Also, the software 192 00:10:14,240 --> 00:10:19,040 Speaker 4: businesses have traded at exceptionally high values valuations for years 193 00:10:19,040 --> 00:10:22,080 Speaker 4: and years, and so they were especially susceptible to a 194 00:10:22,120 --> 00:10:26,040 Speaker 4: new technology like this that threatens that you know, kind 195 00:10:26,080 --> 00:10:29,559 Speaker 4: of competitive advantage, that really long duration that investors believe 196 00:10:29,600 --> 00:10:32,920 Speaker 4: they would have pricing power, and so valuations have just 197 00:10:33,000 --> 00:10:36,240 Speaker 4: cascaded down. The other sectors that have been hit by 198 00:10:36,280 --> 00:10:39,120 Speaker 4: AI fears, some of the brokers, the commercial real estate brokers, 199 00:10:39,360 --> 00:10:42,640 Speaker 4: insurance brokers, et cetera. Those stocks didn't start at such 200 00:10:42,679 --> 00:10:44,920 Speaker 4: an expensive point as software, and so while they've been hit, 201 00:10:44,960 --> 00:10:46,040 Speaker 4: they haven't been hit as severely. 202 00:10:46,640 --> 00:10:50,040 Speaker 2: I'm wondering though, whether or not at this AI trade 203 00:10:50,200 --> 00:10:52,800 Speaker 2: so to speak, is still durable that the place to 204 00:10:52,840 --> 00:10:55,920 Speaker 2: be is on the hardware side, a name like Nvidia, 205 00:10:56,160 --> 00:10:56,880 Speaker 2: let's say. 206 00:10:58,760 --> 00:11:02,920 Speaker 4: Yeah, I mean obviously exceptionally strong demands for AI infrastructure 207 00:11:03,400 --> 00:11:07,120 Speaker 4: right now in Nvidia and the semiconductors, you know, prime example, 208 00:11:07,160 --> 00:11:09,520 Speaker 4: but also all the contractors that help build data centers, 209 00:11:10,559 --> 00:11:12,920 Speaker 4: you know, and on down the line, the Eatons of 210 00:11:12,920 --> 00:11:15,679 Speaker 4: the world supplying electrical gear that that's installed in these 211 00:11:15,760 --> 00:11:18,400 Speaker 4: data centers. Those stocks are doing really well, but they 212 00:11:18,440 --> 00:11:22,680 Speaker 4: cannot do well in isolation. The hyperscalers, the cloud computing 213 00:11:22,679 --> 00:11:26,000 Speaker 4: businesses that are paying for all this they need to 214 00:11:26,000 --> 00:11:28,960 Speaker 4: do well too, or else they will not spend two 215 00:11:29,080 --> 00:11:31,400 Speaker 4: hundred billion dollars in twenty twenty six in the case 216 00:11:31,440 --> 00:11:33,480 Speaker 4: of Amazon, or one hundred ninety billion dollars next year 217 00:11:33,520 --> 00:11:36,600 Speaker 4: in the case of Google, and then on down the line. 218 00:11:37,480 --> 00:11:41,200 Speaker 2: To what extent are you skeptical that the hundreds of 219 00:11:41,200 --> 00:11:43,600 Speaker 2: billions of dollars you just referred to in terms of 220 00:11:43,679 --> 00:11:46,600 Speaker 2: capex will deliver big payoffs anytime soon. 221 00:11:49,520 --> 00:11:55,320 Speaker 4: I I think that the big tech companies, so Microsoft, Meta, Amazon, Google, 222 00:11:55,440 --> 00:11:59,360 Speaker 4: the four biggest spenders on new data centers, they are 223 00:12:00,800 --> 00:12:07,640 Speaker 4: exceptionally smart, exceptionally well informed, very well capitalized, very confident 224 00:12:07,760 --> 00:12:11,559 Speaker 4: that this AI spending, this data center capex is going 225 00:12:11,600 --> 00:12:14,280 Speaker 4: to produce good returns for their shareholders. They have very 226 00:12:14,360 --> 00:12:17,360 Speaker 4: high confidence in that. Otherwise they wouldn't be spending all 227 00:12:17,400 --> 00:12:19,640 Speaker 4: of their free cash flow for next year on building 228 00:12:19,640 --> 00:12:21,679 Speaker 4: new data centers, or in some cases even more than 229 00:12:21,720 --> 00:12:23,720 Speaker 4: all of their cash flow. So I think they have 230 00:12:23,760 --> 00:12:27,400 Speaker 4: an exceptionally high degree of confidence. They are well positioned 231 00:12:27,400 --> 00:12:30,040 Speaker 4: to know. They have experience in this industry for decades 232 00:12:30,040 --> 00:12:34,280 Speaker 4: in Amazon's case, so very confident. When I run the math, 233 00:12:34,600 --> 00:12:37,000 Speaker 4: I put some numbers on paper. I think that they're 234 00:12:37,559 --> 00:12:40,439 Speaker 4: earning high returns on invested capital as well, and you 235 00:12:40,520 --> 00:12:43,760 Speaker 4: see it in several kind of metrics on their financial 236 00:12:43,800 --> 00:12:46,880 Speaker 4: statements in Meta. With Meta, you see very high revenue growth, 237 00:12:46,880 --> 00:12:50,839 Speaker 4: accelerating revenue growth. Google is showing accelerating revenue growth, also 238 00:12:50,960 --> 00:12:54,120 Speaker 4: strong margins in the case of Google, strong margins in 239 00:12:54,160 --> 00:12:57,000 Speaker 4: the case of Amazon as well. I think you see 240 00:12:57,520 --> 00:13:02,000 Speaker 4: return on investing capital high. Aws's revenue growth is accelerating, 241 00:13:02,880 --> 00:13:06,120 Speaker 4: but the capax exceeds those revenue increases right now, and 242 00:13:06,160 --> 00:13:08,560 Speaker 4: that's oftentimes the case when you have these really heavy 243 00:13:08,600 --> 00:13:10,480 Speaker 4: investment periods. I think that's going to be the case 244 00:13:10,480 --> 00:13:16,560 Speaker 4: for years, but eventually that revenue overtakes the capex and 245 00:13:16,600 --> 00:13:18,840 Speaker 4: then you you kind of have full demonstration of that 246 00:13:18,840 --> 00:13:21,000 Speaker 4: that high ROI on down to the net income line 247 00:13:21,000 --> 00:13:24,200 Speaker 4: of their income statements. So I think we'll see it, 248 00:13:24,240 --> 00:13:26,240 Speaker 4: but nobody knows for sure, and there are lots of 249 00:13:26,280 --> 00:13:30,240 Speaker 4: doubts in the investment community. Investment community today investors just 250 00:13:30,280 --> 00:13:35,880 Speaker 4: aren't comfortable with Amazon and Google and Metas spending virtually 251 00:13:35,920 --> 00:13:39,520 Speaker 4: all of their free cash flow next year building new 252 00:13:39,559 --> 00:13:40,120 Speaker 4: data centers. 253 00:13:40,200 --> 00:13:42,000 Speaker 2: So are you bothered at all by the fact that 254 00:13:42,040 --> 00:13:44,640 Speaker 2: some of these hyperscalers have been going to the corporate 255 00:13:44,679 --> 00:13:46,120 Speaker 2: bond market to raise funds. 256 00:13:47,920 --> 00:13:50,760 Speaker 4: No, that doesn't bother me. They have exceptionally low cost 257 00:13:50,800 --> 00:13:52,960 Speaker 4: of funds, they are able to borrow very cheaply. Their 258 00:13:53,000 --> 00:13:57,360 Speaker 4: balance sheets in all those cases have more cash than 259 00:13:57,360 --> 00:14:02,560 Speaker 4: they do debts. So these are except well finance businesses. 260 00:14:02,600 --> 00:14:06,600 Speaker 4: They have very high capacity to borrow, even well beyond 261 00:14:06,600 --> 00:14:08,840 Speaker 4: what they've just borrowed in the last month or two. 262 00:14:09,200 --> 00:14:11,480 Speaker 4: So that doesn't bother me at all. I think that's 263 00:14:11,559 --> 00:14:15,920 Speaker 4: reasonable balance sheet management. I'm comfortable that they are going 264 00:14:15,960 --> 00:14:17,640 Speaker 4: to get a good return on that investment. 265 00:14:18,480 --> 00:14:20,640 Speaker 2: So we talked a moment ago about the extent to 266 00:14:20,680 --> 00:14:24,720 Speaker 2: which this AI craze, if you can call it, that 267 00:14:24,920 --> 00:14:27,720 Speaker 2: has been impacting some of the software companies. But I'm 268 00:14:27,760 --> 00:14:32,720 Speaker 2: wondering about other industries that may not be obvious. And 269 00:14:32,760 --> 00:14:34,760 Speaker 2: I say that because today we heard from the head 270 00:14:34,800 --> 00:14:37,600 Speaker 2: of the San Francisco Fed, Mary Daily, and she was 271 00:14:37,600 --> 00:14:39,880 Speaker 2: saying the FED must be open to science, that AI 272 00:14:39,960 --> 00:14:43,840 Speaker 2: will impact other pockets of the American economy. So away 273 00:14:43,880 --> 00:14:47,520 Speaker 2: from software, you mentioned real estate, I think as well 274 00:14:47,520 --> 00:14:50,480 Speaker 2: a moment ago. Give me a sense of the other 275 00:14:50,560 --> 00:14:52,840 Speaker 2: industries that could face major disruption. 276 00:14:55,480 --> 00:14:59,520 Speaker 4: Yeah, yeah, you say that word disruption, I think implying 277 00:14:59,600 --> 00:15:02,560 Speaker 4: kind of like a negative a negative net impact for 278 00:15:02,720 --> 00:15:06,560 Speaker 4: the shareholders of these public companies, and there are I 279 00:15:06,600 --> 00:15:10,840 Speaker 4: think examples of those. Obviously, software is the primary casualty 280 00:15:11,560 --> 00:15:17,280 Speaker 4: right now, call center customer service focused businesses are going 281 00:15:17,320 --> 00:15:19,320 Speaker 4: to look very different five or ten years from now. 282 00:15:19,360 --> 00:15:21,320 Speaker 4: Many of those stocks have performed very poorly over the 283 00:15:21,360 --> 00:15:23,440 Speaker 4: last couple of years. A couple of them, though, have 284 00:15:23,440 --> 00:15:26,040 Speaker 4: have adapted and are using AI tools to deliver even 285 00:15:26,040 --> 00:15:30,080 Speaker 4: better services than before and are thriving. So I think 286 00:15:30,080 --> 00:15:32,600 Speaker 4: there will be winners and losers as you look industry 287 00:15:32,640 --> 00:15:36,640 Speaker 4: by industry. Finance is another industry that is going to 288 00:15:36,760 --> 00:15:41,800 Speaker 4: see exceptional change in business processes because of AI, banks, 289 00:15:42,040 --> 00:15:45,280 Speaker 4: insurance companies, investment management firms like the one I work for. 290 00:15:46,160 --> 00:15:49,760 Speaker 4: Wealth management firms. There are going to be huge savings 291 00:15:49,840 --> 00:15:53,640 Speaker 4: in terms of the efficiency of their employees doing the 292 00:15:53,680 --> 00:15:57,680 Speaker 4: task that they complete, and will that be net positive 293 00:15:57,760 --> 00:16:01,080 Speaker 4: or net negative for their companies depends on how their 294 00:16:01,120 --> 00:16:05,480 Speaker 4: pricing power is impacted from those changes. Law firms around 295 00:16:05,520 --> 00:16:07,320 Speaker 4: the country, none of them are publicly traded. But you know, 296 00:16:07,360 --> 00:16:11,240 Speaker 4: all of these kind of like labor based professions where 297 00:16:11,480 --> 00:16:14,240 Speaker 4: where you know, white collar workers are working on a 298 00:16:14,240 --> 00:16:16,960 Speaker 4: computer all day, they're going to be huge changes to 299 00:16:17,000 --> 00:16:21,000 Speaker 4: workflows and how the businesses operate and also their profits. 300 00:16:21,360 --> 00:16:24,240 Speaker 2: What about huge changes in terms of employment. I mean, 301 00:16:24,360 --> 00:16:27,760 Speaker 2: I understand the argument in favor of increased productivity, but 302 00:16:27,840 --> 00:16:30,520 Speaker 2: I mean if you're displacing workers, that seems to be 303 00:16:30,600 --> 00:16:31,720 Speaker 2: a bit of a risk as well. 304 00:16:33,840 --> 00:16:37,360 Speaker 4: It is, and I think the data is very inconclusive 305 00:16:37,480 --> 00:16:41,240 Speaker 4: so far. You know, over the last nine months, the 306 00:16:41,280 --> 00:16:47,080 Speaker 4: amount of job postings for software development people has been rising. 307 00:16:48,360 --> 00:16:52,920 Speaker 4: All intuition tells you otherwise, you know, would expect otherwise, 308 00:16:53,640 --> 00:16:56,960 Speaker 4: but no, there's more software development going on today. The 309 00:16:57,000 --> 00:16:58,920 Speaker 4: cost of that software development, the ease of it has 310 00:16:58,960 --> 00:17:03,280 Speaker 4: become much my much greater, and so you have businesses 311 00:17:03,320 --> 00:17:05,760 Speaker 4: willing to invest in more people to do that. So 312 00:17:05,800 --> 00:17:09,399 Speaker 4: that's counterintuitive, and I think it's just too soon to say. 313 00:17:09,760 --> 00:17:12,640 Speaker 4: If you listen to Dario Amide, for example, the head 314 00:17:12,640 --> 00:17:18,639 Speaker 4: of Anthropic, he's worried about humongous job loss, but the 315 00:17:18,680 --> 00:17:20,200 Speaker 4: data hasn't borne that out yet. 316 00:17:21,240 --> 00:17:23,760 Speaker 2: What about some of the other industries that are connected 317 00:17:23,760 --> 00:17:28,200 Speaker 2: to AI, And I'm thinking in particular of energy, given 318 00:17:28,200 --> 00:17:30,960 Speaker 2: the fact that some of these data centers just require 319 00:17:31,080 --> 00:17:35,280 Speaker 2: so much power for those servers to kind of function 320 00:17:35,359 --> 00:17:38,400 Speaker 2: in a way that is basically the way in which 321 00:17:38,440 --> 00:17:43,200 Speaker 2: these systems are designed, sucking up enormous amounts of electricity. 322 00:17:43,359 --> 00:17:47,200 Speaker 2: Is that something that you think has been fully recognized 323 00:17:47,240 --> 00:17:49,479 Speaker 2: by the market. I mean, are there other opportunities here 324 00:17:49,480 --> 00:17:50,919 Speaker 2: if you're playing the energy space? 325 00:17:53,640 --> 00:17:57,520 Speaker 4: Yeah, power prices arising. Demand is exceeding supply in many 326 00:17:57,520 --> 00:18:01,399 Speaker 4: parts of the country, and obviously they're there's great demand 327 00:18:01,440 --> 00:18:03,560 Speaker 4: for additional data centers to be built all over the country. 328 00:18:03,760 --> 00:18:06,840 Speaker 4: So yeah, I think that you know, companies that can 329 00:18:06,920 --> 00:18:10,200 Speaker 4: grow their power generation over the next five or ten 330 00:18:10,280 --> 00:18:13,040 Speaker 4: years stand to do well, stand to earn good, good 331 00:18:13,080 --> 00:18:15,359 Speaker 4: prices for that for that new power brought to broad 332 00:18:15,400 --> 00:18:18,080 Speaker 4: to the grid. So a company like next Era I 333 00:18:18,080 --> 00:18:21,800 Speaker 4: think as a compelling investment today they're supplying both renewable 334 00:18:21,880 --> 00:18:25,560 Speaker 4: energy and also you know, gas fired power to the grid. 335 00:18:26,359 --> 00:18:30,399 Speaker 4: The unregulated or less regulated independent power producers like Talent 336 00:18:30,520 --> 00:18:35,239 Speaker 4: and and RG are well positioned too. So yeah, I 337 00:18:35,280 --> 00:18:38,720 Speaker 4: think that. I think, you know, energy generation is more 338 00:18:38,800 --> 00:18:40,880 Speaker 4: valuable today than it was five or ten years ago, 339 00:18:40,920 --> 00:18:43,320 Speaker 4: and it's it's exceptionally important five or ten years down 340 00:18:43,359 --> 00:18:45,119 Speaker 4: the road, and there are handful of companies that are 341 00:18:45,160 --> 00:18:46,040 Speaker 4: going to take advantage of that. 342 00:18:46,440 --> 00:18:48,639 Speaker 2: So at the end of the day, Jed, are you 343 00:18:48,840 --> 00:18:52,399 Speaker 2: still reasonably constructive on the equity market given everything that 344 00:18:52,440 --> 00:18:56,119 Speaker 2: we're talking about. I mean, if this major shock wave 345 00:18:56,200 --> 00:18:59,280 Speaker 2: as it relates to AI is still kind of permeating 346 00:18:59,359 --> 00:19:02,200 Speaker 2: through the equity space, do you remain constructive? 347 00:19:03,680 --> 00:19:06,919 Speaker 4: Yeah? When asked that question over the last year or so, 348 00:19:07,160 --> 00:19:09,919 Speaker 4: I've said, yes, I feel good about the forward outlook 349 00:19:09,920 --> 00:19:12,560 Speaker 4: for equity markets. And the main reasons for that are 350 00:19:13,600 --> 00:19:15,480 Speaker 4: there are a lot of things that are contributing to 351 00:19:16,680 --> 00:19:20,720 Speaker 4: higher stock prices here today, double digit corporate earnings growth, 352 00:19:21,440 --> 00:19:25,440 Speaker 4: tax benefits from Trump's tax bill passed over a year ago. 353 00:19:26,359 --> 00:19:29,160 Speaker 4: The Fed is reducing interest rates, Unemployment is fairly low, 354 00:19:29,280 --> 00:19:31,360 Speaker 4: M and A and IPO activity is strong, Interest rates 355 00:19:31,400 --> 00:19:35,119 Speaker 4: are low, credits breads are tight. All that is very constructive, 356 00:19:35,359 --> 00:19:39,320 Speaker 4: But the market feels a little wobbly right now, doesn't it. 357 00:19:40,440 --> 00:19:44,160 Speaker 4: There are as many companies seemingly negatively impacted by AI 358 00:19:44,280 --> 00:19:48,960 Speaker 4: as there are positively impacted the market. Investors over the 359 00:19:49,040 --> 00:19:53,000 Speaker 4: last month have decided that they want to go sell 360 00:19:53,040 --> 00:19:57,280 Speaker 4: AI stocks and hide out in utilities, in energy companies, 361 00:19:57,359 --> 00:20:02,359 Speaker 4: in consumer staples that have really modest growth prospects. So 362 00:20:02,400 --> 00:20:05,080 Speaker 4: that fear in the market makes me think twice before 363 00:20:05,119 --> 00:20:07,320 Speaker 4: answering your question, and I feel a little bit less 364 00:20:07,320 --> 00:20:10,440 Speaker 4: confident in the a really strong outlook for the stock 365 00:20:10,440 --> 00:20:12,640 Speaker 4: market today than I did probably two or three months ago. 366 00:20:12,680 --> 00:20:14,960 Speaker 2: All Right, we'll leave it there, Jed, thank you so much. 367 00:20:15,119 --> 00:20:19,200 Speaker 2: Jed Elbrook is portfolio manager at arch And Capital Management, 368 00:20:19,640 --> 00:20:22,720 Speaker 2: joining from Saint Louis here on the Daybreak Asia podcast. 369 00:20:25,040 --> 00:20:28,400 Speaker 2: Thanks for listening to today's episode of the Bloomberg Daybreak 370 00:20:28,560 --> 00:20:31,920 Speaker 2: Asia Edition podcast. Each weekday, we look at the story 371 00:20:32,000 --> 00:20:36,359 Speaker 2: shaping markets, finance, and geopolitics in the Asia Pacific. You 372 00:20:36,400 --> 00:20:40,480 Speaker 2: can find us on Apple, Spotify, the Bloomberg Podcast YouTube channel, 373 00:20:40,600 --> 00:20:43,639 Speaker 2: or anywhere else you listen. Join us again tomorrow for 374 00:20:43,760 --> 00:20:47,240 Speaker 2: insight on the market moves from Hong Kong to Singapore 375 00:20:47,640 --> 00:20:51,440 Speaker 2: and Australia. I'm Doug Prisoner and this is Bloomberg