1 00:00:02,520 --> 00:00:07,000 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:11,320 --> 00:00:14,680 Speaker 2: Welcome to the Daybreak Asia podcast time Dog Prisner. Much 3 00:00:14,720 --> 00:00:16,880 Speaker 2: of the price action that we are seeing in global 4 00:00:16,880 --> 00:00:20,400 Speaker 2: equity markets is being driven by big tech earnings. After 5 00:00:20,400 --> 00:00:24,080 Speaker 2: the bell in the States, Intel delivered a surprisingly strong 6 00:00:24,120 --> 00:00:27,240 Speaker 2: forecast for revenue in the current quarter. This would seem 7 00:00:27,240 --> 00:00:30,320 Speaker 2: to underscore the gains Intel has been making with data 8 00:00:30,360 --> 00:00:34,159 Speaker 2: center customers. Now, for the last quarter, sales for the 9 00:00:34,240 --> 00:00:38,960 Speaker 2: data center segments scored fifty nine percent. Intel's central processing 10 00:00:39,040 --> 00:00:42,440 Speaker 2: units are clearly in high demand for AI computing. Here 11 00:00:42,479 --> 00:00:43,760 Speaker 2: is Bloomberg's ed Ludlow. 12 00:00:44,120 --> 00:00:47,840 Speaker 3: The market is a situation where CPU specifically is taking off. 13 00:00:47,840 --> 00:00:51,120 Speaker 3: For Intel, a lot of their top line performance is 14 00:00:51,240 --> 00:00:53,680 Speaker 3: answered by that. And in the core to gone, you 15 00:00:53,720 --> 00:00:57,320 Speaker 3: know that unit's growing fifty nine percent, double what the 16 00:00:57,360 --> 00:00:59,520 Speaker 3: rest of the business is growing at. So they have 17 00:00:59,640 --> 00:01:02,800 Speaker 3: found place in that market. But what they're battling to 18 00:01:02,920 --> 00:01:06,680 Speaker 3: do is improve their own operations, their own foundries, and 19 00:01:06,720 --> 00:01:09,600 Speaker 3: their own processes so they can get the CPU product 20 00:01:09,640 --> 00:01:12,199 Speaker 3: and people actually want out there into the real world. 21 00:01:12,280 --> 00:01:15,360 Speaker 2: That was Bloomberg's ed Ludlow. Now shares an Intel had 22 00:01:15,400 --> 00:01:17,600 Speaker 2: been up by as much as twelve percent in late 23 00:01:17,720 --> 00:01:20,959 Speaker 2: US trading. The stock closed higher by three percent at 24 00:01:20,959 --> 00:01:24,039 Speaker 2: the end of the late US session. Now in regular 25 00:01:24,120 --> 00:01:27,360 Speaker 2: trading in the States, there were some concerns about overspending 26 00:01:27,400 --> 00:01:31,280 Speaker 2: on cap X. That was after Alphabet and Tesla raised 27 00:01:31,280 --> 00:01:34,559 Speaker 2: their spending forecast. Some analysts were saying there are still 28 00:01:34,640 --> 00:01:38,000 Speaker 2: nagging questions about what the return on investment will be. 29 00:01:38,680 --> 00:01:42,960 Speaker 2: Shares and Alphabet were down seven percent, Tesla tumbled fourteen percent. 30 00:01:43,400 --> 00:01:45,520 Speaker 2: For an overall look at tech, we had the chance 31 00:01:45,560 --> 00:01:48,040 Speaker 2: to catch up with Dan Ives. Dan as a partner 32 00:01:48,040 --> 00:01:51,920 Speaker 2: and senior managing director at Yorkville Ives. He spoke with 33 00:01:51,920 --> 00:01:54,560 Speaker 2: Bloomberg TV host Heidi Stroud Watson Sherry on. 34 00:01:54,880 --> 00:01:57,880 Speaker 1: So, does this give enough of that catalyst that will 35 00:01:57,880 --> 00:02:01,120 Speaker 1: continue to see the justification for how much spending is 36 00:02:01,160 --> 00:02:02,280 Speaker 1: being poured into the space. 37 00:02:04,400 --> 00:02:06,520 Speaker 4: Yeah, I mean, look, it's validation. I mean, if you 38 00:02:06,520 --> 00:02:08,600 Speaker 4: look at what we saw with Alphabet in terms of 39 00:02:08,639 --> 00:02:11,360 Speaker 4: the cap backs, and now you look at Intel, you 40 00:02:11,480 --> 00:02:15,200 Speaker 4: piece it together. This is showing this AI revolution and 41 00:02:15,240 --> 00:02:18,000 Speaker 4: we're just starting in terms of this next broad frontier 42 00:02:18,360 --> 00:02:20,560 Speaker 4: and I think that's what investors want to see across 43 00:02:20,560 --> 00:02:23,560 Speaker 4: the board, and you're starting to see it now from Intel. 44 00:02:28,160 --> 00:02:30,720 Speaker 1: This is a market that given the amount of volatility 45 00:02:30,760 --> 00:02:33,760 Speaker 1: that we've seen, clearly investors are chasing for that next catalyst, 46 00:02:33,880 --> 00:02:36,520 Speaker 1: the next justification, the next support level. Right, do we 47 00:02:36,560 --> 00:02:38,800 Speaker 1: continue to see the volatility play out? 48 00:02:41,200 --> 00:02:43,600 Speaker 4: You're going to continue to see the volatility play out. 49 00:02:43,680 --> 00:02:46,600 Speaker 4: But when you think about where the data center build 50 00:02:46,720 --> 00:02:49,000 Speaker 4: is and in terms of what it's all doing to 51 00:02:49,040 --> 00:02:51,799 Speaker 4: be physical AI and just more and more of a 52 00:02:51,919 --> 00:02:54,520 Speaker 4: data center spending, I mean you're going to have what 53 00:02:54,680 --> 00:02:58,560 Speaker 4: called three to four trillion dollars being spent, you're only 54 00:02:58,560 --> 00:03:01,639 Speaker 4: about fifteen percent true, And that's how you have names Aga, 55 00:03:01,680 --> 00:03:04,640 Speaker 4: Intel doing what they're doing. But you piece it together 56 00:03:04,840 --> 00:03:07,399 Speaker 4: with what we see from Alphabet, with what we see 57 00:03:07,400 --> 00:03:09,920 Speaker 4: across tech, and I think this is it sets the 58 00:03:10,120 --> 00:03:12,720 Speaker 4: tones for what we're going to see inn earning season 59 00:03:12,760 --> 00:03:14,080 Speaker 4: over the next few weeks. 60 00:03:16,200 --> 00:03:18,280 Speaker 5: Which ones are you watching closely right now? 61 00:03:20,720 --> 00:03:22,880 Speaker 4: I think, Look, it's the rest of the hyperscoalurs. Because 62 00:03:22,880 --> 00:03:26,320 Speaker 4: you got to see how Microsoft and Amazon ultimately in 63 00:03:26,400 --> 00:03:28,680 Speaker 4: terms of that cloud growth. I think that's one of 64 00:03:28,680 --> 00:03:32,800 Speaker 4: the best barometers relative to that what we see. We 65 00:03:32,840 --> 00:03:35,680 Speaker 4: saw it in Alphabet, but now you got to see 66 00:03:35,720 --> 00:03:40,040 Speaker 4: it in Microsoft as well as Amazon. Because that pieces 67 00:03:40,120 --> 00:03:43,400 Speaker 4: together where we're ultimately to see across tech. Look, it 68 00:03:43,480 --> 00:03:47,760 Speaker 4: speaks to argue this is a true Fourth Industrial Revolution 69 00:03:47,920 --> 00:03:52,000 Speaker 4: plan out and we're just in the early stages of it, 70 00:03:52,120 --> 00:03:55,600 Speaker 4: and the earning season is further valid It's what we're 71 00:03:55,600 --> 00:03:58,000 Speaker 4: seeing across the board with the enterprise spenders. 72 00:04:00,040 --> 00:04:02,280 Speaker 5: Expectations are so high though, I mean the way that 73 00:04:02,320 --> 00:04:05,880 Speaker 5: Alphabet is training despite the results, what sort of metrics 74 00:04:05,920 --> 00:04:08,520 Speaker 5: will you be watching to see how stocks also move 75 00:04:08,720 --> 00:04:12,240 Speaker 5: and is that a clear reflection or the appropriate reflection 76 00:04:12,520 --> 00:04:13,280 Speaker 5: of their strength? 77 00:04:15,480 --> 00:04:17,360 Speaker 4: You know, it's a great question. I think right now 78 00:04:17,440 --> 00:04:21,159 Speaker 4: the issue is you're in between capax and modernization stage. 79 00:04:21,320 --> 00:04:24,320 Speaker 4: But if you saw Alphabet, I mean that the cloud 80 00:04:24,360 --> 00:04:29,200 Speaker 4: growth is phenomenal, and now it all comes down to investors. 81 00:04:29,279 --> 00:04:32,160 Speaker 4: Where's the patients? You see that with a name Mike 82 00:04:32,240 --> 00:04:35,520 Speaker 4: Tessa versus do you start to see the modernization in 83 00:04:35,640 --> 00:04:40,200 Speaker 4: Meta in Microsoft, in the rest of software earnings in infrastructure. 84 00:04:40,240 --> 00:04:42,600 Speaker 4: I think that's what investors are focused on, because what 85 00:04:42,880 --> 00:04:46,479 Speaker 4: Intel is showing you the spending is there, and that's 86 00:04:46,600 --> 00:04:49,840 Speaker 4: that's ultimately. I think when you look at name segn video, 87 00:04:50,240 --> 00:04:52,960 Speaker 4: you go down to the semi food chain, it's a 88 00:04:53,040 --> 00:04:56,480 Speaker 4: positive for broader tech. Now it comes down to your 89 00:04:56,520 --> 00:05:01,160 Speaker 4: between the capacs and the modernization patients. Obviously an issue 90 00:05:01,160 --> 00:05:04,800 Speaker 4: for investors, but when you put up the numbers, investors 91 00:05:04,800 --> 00:05:05,599 Speaker 4: are going to reward it. 92 00:05:07,600 --> 00:05:09,479 Speaker 1: We're going to see more reward when it comes to 93 00:05:09,839 --> 00:05:12,760 Speaker 1: the AI names outside of these top markets. Are you 94 00:05:12,960 --> 00:05:16,560 Speaker 1: perhaps more compowered by the opportunities in China given the 95 00:05:16,600 --> 00:05:19,960 Speaker 1: developments in Moonshot and what looks like a pretty rapid 96 00:05:20,000 --> 00:05:21,440 Speaker 1: closing of that AI gap. 97 00:05:23,520 --> 00:05:25,880 Speaker 4: Yeah, Look, this is a two horse race between the 98 00:05:25,960 --> 00:05:28,719 Speaker 4: US and China, and the reality is when it comes 99 00:05:28,760 --> 00:05:32,239 Speaker 4: to robotics, China's weading. When it comes to power, they're leading. 100 00:05:32,720 --> 00:05:35,520 Speaker 4: When you see on the when it comes to open source, 101 00:05:35,600 --> 00:05:38,200 Speaker 4: what we see on the models, that gap is going 102 00:05:38,240 --> 00:05:41,240 Speaker 4: to continue to narrow. I think for China now it's 103 00:05:41,320 --> 00:05:43,520 Speaker 4: really what you want to see in terms of the 104 00:05:43,640 --> 00:05:47,600 Speaker 4: use cases relative to big tech playing out within China. 105 00:05:48,000 --> 00:05:50,719 Speaker 4: But it's our vue. You can't just play the US 106 00:05:50,960 --> 00:05:55,160 Speaker 4: China market. You have to also think about where this is, 107 00:05:55,240 --> 00:05:57,160 Speaker 4: what's the ripple effect. It's going to be in Middle East, 108 00:05:57,240 --> 00:06:00,719 Speaker 4: it's going to be India, But right now it's US 109 00:06:00,720 --> 00:06:02,880 Speaker 4: and China that are at the top of the mountain 110 00:06:03,320 --> 00:06:07,640 Speaker 4: and you're seeing continued competition, which is good for ultimately 111 00:06:07,640 --> 00:06:08,440 Speaker 4: for investors. 112 00:06:10,520 --> 00:06:14,279 Speaker 1: How difficult might the regulatory environment become. We've had another 113 00:06:14,320 --> 00:06:18,560 Speaker 1: case this week of potentially going awry right when it 114 00:06:18,600 --> 00:06:22,280 Speaker 1: comes to open AI. Is this going to become more 115 00:06:22,279 --> 00:06:25,760 Speaker 1: of an issue for politicians worldwide and we see these 116 00:06:25,760 --> 00:06:28,800 Speaker 1: sort of regulatory curbs when it comes to the technology 117 00:06:28,600 --> 00:06:31,600 Speaker 1: and the scale. 118 00:06:32,279 --> 00:06:34,120 Speaker 4: I think that's going to be front center. It's going 119 00:06:34,160 --> 00:06:36,000 Speaker 4: to be a queer political issue when it comes to 120 00:06:36,080 --> 00:06:39,560 Speaker 4: the midterms. Data center build out. You see the moratorium 121 00:06:39,560 --> 00:06:43,159 Speaker 4: in New York, you know from local some of the 122 00:06:43,160 --> 00:06:45,800 Speaker 4: stuff that we're seeing across the United States. You'll see 123 00:06:45,839 --> 00:06:48,200 Speaker 4: it in China as well. In terms of the models, 124 00:06:48,560 --> 00:06:50,880 Speaker 4: this is going to be a tug of war. But again, 125 00:06:50,920 --> 00:06:55,839 Speaker 4: the problem is when politicians get involved in technology, that's 126 00:06:55,880 --> 00:06:59,320 Speaker 4: not a good formula because you stop innovation. And I 127 00:06:59,360 --> 00:07:02,040 Speaker 4: think that's this is going to be the balance that 128 00:07:02,080 --> 00:07:05,440 Speaker 4: will continue to play out across tech, whether it's in 129 00:07:05,440 --> 00:07:06,240 Speaker 4: the US from. 130 00:07:06,240 --> 00:07:12,840 Speaker 5: China, when it comes to politicians getting involved. We've seeing 131 00:07:12,880 --> 00:07:15,600 Speaker 5: sort of a different picture across Asia where governments are 132 00:07:15,880 --> 00:07:19,600 Speaker 5: really putting very heavy investments, sort of an industrial policy 133 00:07:19,640 --> 00:07:24,120 Speaker 5: towards artificial intelligence to our semiconductors as well, especially across 134 00:07:24,160 --> 00:07:27,840 Speaker 5: South Korea for example, what does this mean in terms 135 00:07:27,920 --> 00:07:32,080 Speaker 5: of competition among economies? And some of these players as well, 136 00:07:32,160 --> 00:07:35,520 Speaker 5: a lot of these government related projects are to do 137 00:07:35,600 --> 00:07:37,560 Speaker 5: with samsung S k Heinis for example. 138 00:07:39,920 --> 00:07:42,440 Speaker 4: Look, I mean Korea, I think so much the poster child. 139 00:07:42,680 --> 00:07:44,760 Speaker 4: What you see there, you see it from the government 140 00:07:44,840 --> 00:07:48,120 Speaker 4: down to obviously the memory boom. Go back a few 141 00:07:48,200 --> 00:07:52,000 Speaker 4: years ago. I mean the Korean market was knocking to 142 00:07:52,000 --> 00:07:54,840 Speaker 4: be front center relative to where it is today. You're 143 00:07:54,840 --> 00:07:57,480 Speaker 4: going to see other countries, I think, take that lead. 144 00:07:58,920 --> 00:08:02,360 Speaker 4: The private public partnerships are going to be extremely important 145 00:08:02,960 --> 00:08:06,760 Speaker 4: because this is an arm trace that's happening globally. It's US, 146 00:08:06,920 --> 00:08:09,320 Speaker 4: China when it comes to memory, Look who are Korea 147 00:08:09,400 --> 00:08:11,720 Speaker 4: is done? And I think many other countries are looking 148 00:08:11,720 --> 00:08:14,680 Speaker 4: to say, Okay, how did they put? New country wants 149 00:08:14,720 --> 00:08:18,480 Speaker 4: to watch the Ai revolution from the stands, They don't 150 00:08:18,520 --> 00:08:21,080 Speaker 4: want to watch it from the outside in. And I 151 00:08:21,120 --> 00:08:23,360 Speaker 4: think that right now is sort of the balance that 152 00:08:23,400 --> 00:08:25,080 Speaker 4: we're seeing play out across time. 153 00:08:25,520 --> 00:08:28,560 Speaker 2: That was Dan Ives, partner and senior Managing director at 154 00:08:28,640 --> 00:08:32,720 Speaker 2: Yorkville Ives, speaking with Bloomberg TV host Heidi Stroud Watson 155 00:08:32,840 --> 00:08:35,959 Speaker 2: cherry On bringing you their conversation here on the Daybreak 156 00:08:36,000 --> 00:08:48,040 Speaker 2: Asia podcast. Welcome back to the Daybreak Asia Podcast. I'm 157 00:08:48,040 --> 00:08:52,000 Speaker 2: Doug Chrisner. It has been frequently stated that energy is 158 00:08:52,160 --> 00:08:55,760 Speaker 2: the biggest constraint to the buildout of global AI. Many 159 00:08:55,800 --> 00:08:58,120 Speaker 2: countries are turning to nuclear power as a way of 160 00:08:58,120 --> 00:09:02,600 Speaker 2: addressing it. Perhaps nowhere better reflects that push than in 161 00:09:02,679 --> 00:09:06,080 Speaker 2: Asia and especially Japan. We had a chance to speak 162 00:09:06,120 --> 00:09:10,880 Speaker 2: with Nobuo Tanaka. Nobuo is Executive Director Emeritus at the 163 00:09:10,920 --> 00:09:14,400 Speaker 2: International Energy Agency. He spoke with Bloomberg's shrry On. 164 00:09:15,040 --> 00:09:17,280 Speaker 5: We were talking a little bit about the difference on 165 00:09:17,320 --> 00:09:21,480 Speaker 5: how much nuclear energy proliferation has accelerated or that push 166 00:09:21,520 --> 00:09:24,760 Speaker 5: across Asia. How does this differ from the Western country. 167 00:09:25,720 --> 00:09:29,280 Speaker 6: Thank you for inviting me, Sherry. The Asian countries need 168 00:09:29,600 --> 00:09:34,560 Speaker 6: energy and electricity to make the economic growth and Asia 169 00:09:34,640 --> 00:09:37,840 Speaker 6: is a growth center. So subtly Asia and is the 170 00:09:37,960 --> 00:09:42,839 Speaker 6: very sustainable model of the electricity and for the sake, 171 00:09:43,240 --> 00:09:46,960 Speaker 6: nuclear will be a very important part of the portfolio. 172 00:09:48,040 --> 00:09:52,720 Speaker 6: Electrification is a key element of reducing dependency of oil 173 00:09:52,760 --> 00:09:55,720 Speaker 6: and gas from Middle East, so they are arged to 174 00:09:55,840 --> 00:10:00,199 Speaker 6: do this Electrification and Nuclear Small Majority ACTRA particular, it 175 00:10:00,280 --> 00:10:03,040 Speaker 6: will play a very important role, but they have to 176 00:10:03,160 --> 00:10:06,440 Speaker 6: learn from Japan's mistake in Kushima for example. 177 00:10:06,840 --> 00:10:08,880 Speaker 5: I want to get there, but first of all, let 178 00:10:08,880 --> 00:10:12,120 Speaker 5: me ask about what's happening globally as well when it 179 00:10:12,160 --> 00:10:16,040 Speaker 5: comes to this awareness of the need of nuclear power 180 00:10:16,160 --> 00:10:19,080 Speaker 5: in the energy mix, given of course all the geopolitical 181 00:10:19,120 --> 00:10:20,960 Speaker 5: upheavals that we've seen in the past few years. 182 00:10:21,280 --> 00:10:26,720 Speaker 6: Yeah, because thanks to the current climate change mitigation, current 183 00:10:26,920 --> 00:10:32,000 Speaker 6: economic issue, energy security issue, nuclear focus is very much 184 00:10:33,360 --> 00:10:36,080 Speaker 6: in the center of the discussion of the energy policy. 185 00:10:36,160 --> 00:10:39,200 Speaker 6: Germany may change their policy against nucleate to more in 186 00:10:39,280 --> 00:10:43,360 Speaker 6: favor the Prime Minister I mean announced that, and Asia 187 00:10:43,960 --> 00:10:47,440 Speaker 6: it needs the kind of policy of very safe nuclean 188 00:10:47,760 --> 00:10:52,000 Speaker 6: as well as affordable nucleer. For that, I am strongly 189 00:10:52,240 --> 00:10:55,880 Speaker 6: arging Asian country particular assay and should take a coordinated 190 00:10:55,960 --> 00:11:00,520 Speaker 6: position of the nuclear model. If they have the similar 191 00:11:00,840 --> 00:11:05,040 Speaker 6: model and standardized model of the nuclear the cost will 192 00:11:05,040 --> 00:11:09,839 Speaker 6: be smaller because you can make a coalition of patches 193 00:11:10,040 --> 00:11:14,480 Speaker 6: and procurement. We'll push the provider to reduce the price 194 00:11:14,960 --> 00:11:19,080 Speaker 6: and at the same time regulatory framework could be similar. 195 00:11:19,200 --> 00:11:21,560 Speaker 6: Right if all the countries of AUSSI and has the 196 00:11:21,600 --> 00:11:25,680 Speaker 6: same reactor. The regulatory framework should be same, so then 197 00:11:26,000 --> 00:11:29,199 Speaker 6: you can keep the safer model of the nuclear power. 198 00:11:29,240 --> 00:11:33,120 Speaker 6: So I urge ASAAN countries are now connecting each other 199 00:11:33,200 --> 00:11:37,079 Speaker 6: by agency super greed and by that that you have 200 00:11:37,160 --> 00:11:39,560 Speaker 6: to make a kind of sense of we have to 201 00:11:39,640 --> 00:11:42,320 Speaker 6: locate a new creator in the best mix of the 202 00:11:42,400 --> 00:11:46,160 Speaker 6: new energy sources. And I think this is a great 203 00:11:46,160 --> 00:11:48,440 Speaker 6: opportunity the ass and can make a difference. 204 00:11:48,679 --> 00:11:51,959 Speaker 5: You mentioned small modular reactor in SMRs. How big a 205 00:11:52,000 --> 00:11:53,120 Speaker 5: game changer are they? 206 00:11:54,120 --> 00:11:57,080 Speaker 6: This is going to be interesting because small modular reactor 207 00:11:57,160 --> 00:12:00,400 Speaker 6: can be a dedicated power for the data center or 208 00:12:00,520 --> 00:12:05,120 Speaker 6: AI generation, so it's not connected to the grid, but 209 00:12:05,440 --> 00:12:09,040 Speaker 6: use for particularly to the industry for the heat or 210 00:12:09,120 --> 00:12:13,040 Speaker 6: particularly for the data centers. So I think and also 211 00:12:13,240 --> 00:12:17,080 Speaker 6: the small mosure reactor's best point is that it's the 212 00:12:17,120 --> 00:12:21,920 Speaker 6: safety and the reduced the risk of accident and emergency 213 00:12:21,960 --> 00:12:26,080 Speaker 6: planning zone of SML can be contained within the plant. 214 00:12:26,360 --> 00:12:30,080 Speaker 6: That means you don't have the evacuation plan for the 215 00:12:30,200 --> 00:12:34,840 Speaker 6: surrounding population. This will give a much better public acceptance 216 00:12:35,120 --> 00:12:38,480 Speaker 6: of the reactor and the design of the small module 217 00:12:38,559 --> 00:12:43,199 Speaker 6: reactor can fit to the local needs right data centernees 218 00:12:43,520 --> 00:12:48,319 Speaker 6: or more backup to the renewables or security issues. So 219 00:12:48,679 --> 00:12:53,400 Speaker 6: I think public local people can accept small modular reactor 220 00:12:53,520 --> 00:12:57,440 Speaker 6: much better than the larger reactor which served to the 221 00:12:57,559 --> 00:13:01,560 Speaker 6: urban areas but not themselves, only sharing the risk. That 222 00:13:01,920 --> 00:13:05,840 Speaker 6: is the reason why the negative reaction happens to that 223 00:13:05,920 --> 00:13:07,359 Speaker 6: from the host community. 224 00:13:07,559 --> 00:13:09,800 Speaker 5: I mean, you mentioned what happened in focusing on We 225 00:13:09,800 --> 00:13:12,400 Speaker 5: have three Mile Islands as well, We have Chernobyl as well, 226 00:13:12,400 --> 00:13:16,360 Speaker 5: and we have nuclear generation electricity actually having since the 227 00:13:16,440 --> 00:13:20,400 Speaker 5: nineteen nineties or so. Are we seeing that change mentality 228 00:13:20,480 --> 00:13:21,600 Speaker 5: now given the need? 229 00:13:22,080 --> 00:13:26,680 Speaker 6: Yeah, I think because of the accident, certainly the question 230 00:13:26,920 --> 00:13:30,720 Speaker 6: about the safety increases. But at the same time, if 231 00:13:31,040 --> 00:13:35,640 Speaker 6: the data center needs such amount of huge electricity stage, 232 00:13:36,040 --> 00:13:40,079 Speaker 6: in a way, the decarbonized power nucleate is the only answer. 233 00:13:40,200 --> 00:13:44,520 Speaker 6: So public acceptance to the nuclear especially the Middle East situation, 234 00:13:44,800 --> 00:13:49,439 Speaker 6: Ukraine situation, it increased dramatically. So this is a great opportunity. 235 00:13:49,920 --> 00:13:54,679 Speaker 6: If the governments put the right incentives or right regulatory 236 00:13:54,760 --> 00:13:59,240 Speaker 6: framework or collaboration among the countries, then I think nuclear 237 00:13:59,280 --> 00:14:00,640 Speaker 6: may have a very good future. 238 00:14:00,760 --> 00:14:02,240 Speaker 5: Are you seeing any moves towards up. 239 00:14:02,400 --> 00:14:05,480 Speaker 6: I think so because the governments are talking about the 240 00:14:05,679 --> 00:14:09,880 Speaker 6: nuclear collaboration. For example, Korea wants to do more collaboration 241 00:14:10,040 --> 00:14:13,840 Speaker 6: with Japan for developing the sustainable nuclear model for the 242 00:14:13,880 --> 00:14:18,160 Speaker 6: future and setting together to the global community. I think 243 00:14:18,520 --> 00:14:21,960 Speaker 6: US has a very interesting model of sustainable nuclear which 244 00:14:22,000 --> 00:14:23,800 Speaker 6: I promote integral fast react. 245 00:14:23,880 --> 00:14:25,040 Speaker 4: It can't take care of. 246 00:14:25,320 --> 00:14:30,560 Speaker 6: The waste radioactive waste and safety requirement is very good 247 00:14:30,960 --> 00:14:35,800 Speaker 6: and also proliferation registant. Because of the nuclear war threat 248 00:14:35,920 --> 00:14:39,440 Speaker 6: is everywhere. We have to have a technology which is 249 00:14:39,560 --> 00:14:42,080 Speaker 6: registant for the proliferation risk. 250 00:14:42,440 --> 00:14:45,200 Speaker 5: When it comes to building that sort of nuclear ecosystem, 251 00:14:45,280 --> 00:14:47,240 Speaker 5: who do you think across Asia is doing it well? 252 00:14:47,960 --> 00:14:51,280 Speaker 6: Asia is the best place to test that kind of 253 00:14:51,360 --> 00:14:55,640 Speaker 6: model because Asia is a very growth center of economy 254 00:14:56,160 --> 00:15:00,960 Speaker 6: and they have experienced the very risk of the security 255 00:15:01,400 --> 00:15:05,560 Speaker 6: from the Middle East, oil gas, et cetera. And also 256 00:15:05,840 --> 00:15:10,160 Speaker 6: it can be a very good peaceful arrangement of the 257 00:15:10,200 --> 00:15:14,000 Speaker 6: Asian can show that the nuclear can play a very 258 00:15:14,080 --> 00:15:18,680 Speaker 6: important role of the alliance and coalition and the peaceful 259 00:15:18,960 --> 00:15:21,480 Speaker 6: use of the energy for the future. So I really 260 00:15:21,520 --> 00:15:26,440 Speaker 6: want that Acian will carefree take a close look what 261 00:15:26,560 --> 00:15:30,440 Speaker 6: kind of models of smls are available. It is growing 262 00:15:30,480 --> 00:15:33,360 Speaker 6: in many countries not yet established, but there are many 263 00:15:33,440 --> 00:15:36,400 Speaker 6: different types. So I think ACAI should take a good 264 00:15:37,240 --> 00:15:41,600 Speaker 6: study of the models as well as I think acient 265 00:15:41,640 --> 00:15:44,760 Speaker 6: countries should learn from our mistakes in of christ but 266 00:15:44,840 --> 00:15:47,840 Speaker 6: it is a human error, human error. You can learn 267 00:15:48,320 --> 00:15:52,720 Speaker 6: from our mistakes and then avoid the risks of accident. 268 00:15:53,000 --> 00:15:57,560 Speaker 6: That kind of you know, well prepared policy of Asian 269 00:15:58,040 --> 00:16:02,440 Speaker 6: can make an Asia as a center of the future 270 00:16:02,560 --> 00:16:03,840 Speaker 6: sustainable nuclea. 271 00:16:04,200 --> 00:16:08,360 Speaker 2: That was Nibuo Tanaka, Executive Director Emeritus at the International 272 00:16:08,480 --> 00:16:12,520 Speaker 2: Energy Agency, speaking with Bloomberg TV host Sherry On bringing 273 00:16:12,560 --> 00:16:18,720 Speaker 2: you their conversation here on the Daybreak Asia Podcast. Thanks 274 00:16:18,760 --> 00:16:22,400 Speaker 2: for listening to today's episode of the Bloomberg Daybreak Asia 275 00:16:22,560 --> 00:16:27,000 Speaker 2: Edition podcast. Each weekday, we look at the story shaping markets, finance, 276 00:16:27,360 --> 00:16:30,440 Speaker 2: and geopolitics in the Asia Pacific. You can find us 277 00:16:30,440 --> 00:16:34,640 Speaker 2: on Apple, Spotify, the Bloomberg Podcast YouTube channel, or anywhere 278 00:16:34,680 --> 00:16:37,760 Speaker 2: else you listen. Join us again tomorrow for insight on 279 00:16:37,800 --> 00:16:41,960 Speaker 2: the market moves from Hong Kong to Singapore and Australia. 280 00:16:42,400 --> 00:16:44,880 Speaker 2: I'm Doug Chrisner, and this is Bloomberg