1 00:00:02,440 --> 00:00:09,440 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. I'm Stephen Carol and 2 00:00:09,560 --> 00:00:12,039 Speaker 1: this is Here's Why, where we take one news story 3 00:00:12,080 --> 00:00:14,159 Speaker 1: and explain it in just a few minutes with our 4 00:00:14,200 --> 00:00:22,000 Speaker 1: experts here at Bloomberg. Over the roughly seventy years since 5 00:00:22,040 --> 00:00:25,520 Speaker 1: the first commercial nuclear power plant went into operation, the 6 00:00:25,560 --> 00:00:30,360 Speaker 1: popularity of splitting atoms for electricity has undergone some major swings. 7 00:00:30,800 --> 00:00:34,320 Speaker 1: After the Fukushima disaster in twenty eleven, countries including Japan 8 00:00:34,360 --> 00:00:37,320 Speaker 1: and Germany pulled back from the power source. But since 9 00:00:37,320 --> 00:00:40,440 Speaker 1: the war in Ukraine, it's experiencing a comeback as a 10 00:00:40,479 --> 00:00:43,960 Speaker 1: secure energy source, and some big names in tech are 11 00:00:44,000 --> 00:00:44,960 Speaker 1: getting in on the act. 12 00:00:45,440 --> 00:00:48,000 Speaker 2: Nuclear is a wonderful way for as one of the 13 00:00:48,040 --> 00:00:50,840 Speaker 2: sources of energy, one of the sources of sustainable energy. 14 00:00:51,040 --> 00:00:54,960 Speaker 3: Tech companies wanted the customer for green energy, and at 15 00:00:55,040 --> 00:00:57,000 Speaker 3: least for a period of time, they're willing to pay 16 00:00:57,040 --> 00:01:00,760 Speaker 3: a bit of a premium that is extremely helpful to 17 00:01:00,880 --> 00:01:02,440 Speaker 3: reboot the nuclear industry. 18 00:01:02,640 --> 00:01:04,640 Speaker 2: It's totally fair to say that AI is going to 19 00:01:04,680 --> 00:01:06,680 Speaker 2: need a lot of energy, but it will force us, 20 00:01:06,720 --> 00:01:09,560 Speaker 2: i think, to invest more in the technologies that can 21 00:01:09,640 --> 00:01:10,119 Speaker 2: deliver this. 22 00:01:10,720 --> 00:01:13,759 Speaker 1: That was in videos. CEO Jensen h Wang, Microsoft founder 23 00:01:13,800 --> 00:01:17,720 Speaker 1: Bill Gates, and Open AI's Sam Altman. There, so, here's 24 00:01:17,760 --> 00:01:24,399 Speaker 1: why artificial intelligence might need nuclear power to succeed. Bloomberger 25 00:01:24,440 --> 00:01:28,400 Speaker 1: porter Jonathan Tyrone joins me now to explain. Jonathan, first 26 00:01:28,440 --> 00:01:31,760 Speaker 1: of all, how big is the renewed interest we've seen 27 00:01:32,040 --> 00:01:33,920 Speaker 1: in nuclear power in recent years. 28 00:01:34,200 --> 00:01:37,760 Speaker 2: Oh, there's definitely legitimate growing interest in nuclear power. You 29 00:01:37,760 --> 00:01:40,000 Speaker 2: can see that in opinion polling. You can also see 30 00:01:40,000 --> 00:01:43,400 Speaker 2: that in investment in the Western world that's mostly at 31 00:01:43,400 --> 00:01:47,320 Speaker 2: this point flown into extending the lifetime of existing reactors. 32 00:01:47,440 --> 00:01:50,680 Speaker 2: The biggest builds of new reactors are occurring in China. 33 00:01:50,760 --> 00:01:52,960 Speaker 2: They have twenty new builds going on right now. That's 34 00:01:53,080 --> 00:01:55,840 Speaker 2: unprecedented anywhere else in the world. But then you know 35 00:01:56,080 --> 00:02:00,720 Speaker 2: emerging market countries arranging from Egypt to Bangladesh to India, 36 00:02:00,880 --> 00:02:04,120 Speaker 2: there are also new builds going on. The places that 37 00:02:04,560 --> 00:02:07,640 Speaker 2: really are legging behind right now are Europe and especially 38 00:02:07,680 --> 00:02:11,280 Speaker 2: the US, where there are currently zero new builds happening. 39 00:02:11,760 --> 00:02:15,400 Speaker 1: Okay, it's interesting to understand that global spread. Part of 40 00:02:15,440 --> 00:02:18,600 Speaker 1: the future conversation, or the conversation around the future of 41 00:02:18,720 --> 00:02:23,280 Speaker 1: nuclear power has been around what are called small modular reactors. 42 00:02:23,440 --> 00:02:25,520 Speaker 1: Can you just explain what are they and why are 43 00:02:25,520 --> 00:02:26,560 Speaker 1: they proving popular? 44 00:02:27,000 --> 00:02:27,280 Speaker 3: Sure? 45 00:02:27,400 --> 00:02:30,280 Speaker 2: I mean, small modular reactors are not a new concept. 46 00:02:30,320 --> 00:02:33,200 Speaker 2: People have been talking about small modular reactors for twenty 47 00:02:33,280 --> 00:02:36,400 Speaker 2: years or more. And you know these are factory assembled 48 00:02:36,639 --> 00:02:40,040 Speaker 2: models that would be around three hundred megawatts. That's about 49 00:02:40,080 --> 00:02:43,000 Speaker 2: the third of the size of a traditional reactor, which 50 00:02:43,200 --> 00:02:46,200 Speaker 2: you know is going around one thousands of megawatts or 51 00:02:46,200 --> 00:02:48,680 Speaker 2: one gigawatt. The idea behind them is that they can 52 00:02:48,720 --> 00:02:52,040 Speaker 2: be built in a factory, inter creal production and therefore 53 00:02:52,240 --> 00:02:56,720 Speaker 2: lower cost. Right now, there are more than ninety individual 54 00:02:56,760 --> 00:03:01,160 Speaker 2: designs all competing in the marketplace for acceptance in the market, 55 00:03:01,280 --> 00:03:03,720 Speaker 2: and this is actually one of the big problems. There's 56 00:03:03,760 --> 00:03:05,919 Speaker 2: a lot of investment going in what you would call 57 00:03:05,960 --> 00:03:09,000 Speaker 2: paper engineering. The only countries that have actually built in 58 00:03:09,160 --> 00:03:12,919 Speaker 2: SMR are China and Russia. The US and Europe. Again, 59 00:03:13,000 --> 00:03:16,560 Speaker 2: they have scores of different designs but have been less 60 00:03:16,560 --> 00:03:18,400 Speaker 2: effective in actually implementing them. 61 00:03:18,600 --> 00:03:22,880 Speaker 1: Do SMRs provide a solution for countries who are worried 62 00:03:22,919 --> 00:03:28,080 Speaker 1: about energy security if they're cheaper and faster to build well. 63 00:03:29,160 --> 00:03:32,240 Speaker 2: And in security is an interesting concept. It's true that 64 00:03:32,520 --> 00:03:36,360 Speaker 2: nuclear reactor can run anywhere from eighteen months to a 65 00:03:36,400 --> 00:03:40,800 Speaker 2: couple of years without receiving new fuel. However, nuclear reactors, 66 00:03:40,840 --> 00:03:43,440 Speaker 2: just like gas plants or coal plants, do need to 67 00:03:43,440 --> 00:03:48,160 Speaker 2: be refueled intermittently, and that fuel cycle is very complex 68 00:03:48,400 --> 00:03:52,600 Speaker 2: with very long supply chains. And that's also an issue 69 00:03:52,640 --> 00:03:54,880 Speaker 2: that we see in the US right now, where the 70 00:03:55,000 --> 00:03:58,080 Speaker 2: US continues to get a large share of its nuclear 71 00:03:58,080 --> 00:04:01,640 Speaker 2: fuel from Russia. That's the same problem that we witness 72 00:04:01,720 --> 00:04:06,240 Speaker 2: in Eastern Europe. So yes, SMRs and nuclear could give 73 00:04:06,400 --> 00:04:11,560 Speaker 2: more base in times of crises to change your supply chain. However, 74 00:04:11,560 --> 00:04:15,000 Speaker 2: in terms of energy security in this complex world of trade, 75 00:04:15,280 --> 00:04:18,880 Speaker 2: they are also prone to uncertainty. 76 00:04:19,160 --> 00:04:22,440 Speaker 1: So that's the supply side of the equation. But let's 77 00:04:22,440 --> 00:04:25,760 Speaker 1: talk a bit about the demand. What AI got to 78 00:04:25,760 --> 00:04:28,839 Speaker 1: do with this renewed interest in nuclear power. 79 00:04:29,160 --> 00:04:33,200 Speaker 2: Well, the AI companies, to their credit, are creating demand 80 00:04:33,200 --> 00:04:37,440 Speaker 2: for clean energy, and undoubtedly nuclear power is a much 81 00:04:37,520 --> 00:04:41,839 Speaker 2: cleaner energy source than alternative fossil fuels. And so what 82 00:04:42,000 --> 00:04:46,000 Speaker 2: the tech companies want to do is called demand aggregation, 83 00:04:46,279 --> 00:04:49,800 Speaker 2: and they are looking at putting together all of their 84 00:04:50,000 --> 00:04:55,400 Speaker 2: increased electricity demands and working with utilities to create power 85 00:04:55,440 --> 00:04:59,080 Speaker 2: price agreements. These are packages that can be financialized and 86 00:04:59,120 --> 00:05:04,280 Speaker 2: then used to finance new builds power. The issue is 87 00:05:04,320 --> 00:05:07,480 Speaker 2: that when you look at long term or middle term 88 00:05:07,680 --> 00:05:13,200 Speaker 2: electricity demand forecasts, you're still looking at data centers coming 89 00:05:13,240 --> 00:05:15,440 Speaker 2: in and around one to one point three percent of 90 00:05:15,520 --> 00:05:20,120 Speaker 2: total global electricity consumption. And even with the onset of 91 00:05:20,200 --> 00:05:24,839 Speaker 2: artificial intelligence, the growth of electricity demand for data centers 92 00:05:24,920 --> 00:05:27,800 Speaker 2: is projected to be rapid, but the level set to 93 00:05:27,839 --> 00:05:31,120 Speaker 2: remain relatively small. That's coming from the IEA. And then 94 00:05:31,160 --> 00:05:34,760 Speaker 2: you put that into comparison with other demand sources and 95 00:05:34,800 --> 00:05:39,960 Speaker 2: we're looking at desalination electric vehicles and it becomes more 96 00:05:40,000 --> 00:05:44,719 Speaker 2: of a story about Silicon Valley and Western markets trying 97 00:05:44,760 --> 00:05:48,960 Speaker 2: to reboot a clean energy source nuclear power that has 98 00:05:49,000 --> 00:05:51,080 Speaker 2: fallen by the wayside in recent decades. 99 00:05:51,440 --> 00:05:55,160 Speaker 1: And are the investments that we're seeing companies like Microsoft 100 00:05:55,160 --> 00:05:57,919 Speaker 1: and Google making going to make a difference in this. 101 00:05:58,320 --> 00:06:01,680 Speaker 2: Well, the nuclear injurt you certainly hope so, but again 102 00:06:01,760 --> 00:06:05,279 Speaker 2: we're looking at a demand deficit. And I'll cite again 103 00:06:05,600 --> 00:06:09,560 Speaker 2: next Terra Energy. This is a pro nuclear utility. They 104 00:06:09,720 --> 00:06:13,520 Speaker 2: operate nuclear power plants in the US, but even its 105 00:06:13,720 --> 00:06:17,039 Speaker 2: chief executive officer, John Ketchum, came out last week during 106 00:06:17,160 --> 00:06:20,040 Speaker 2: his quarterly earnings conference call and said that he's simply 107 00:06:20,040 --> 00:06:26,400 Speaker 2: not bullish on SMRs because while they conceivably could provide 108 00:06:26,680 --> 00:06:29,960 Speaker 2: a service of clean energy or these AI data centers, 109 00:06:30,080 --> 00:06:33,520 Speaker 2: their actual implementation and deployment is so far out he 110 00:06:33,720 --> 00:06:37,599 Speaker 2: estimates towards the second half of the twenty thirties that 111 00:06:37,640 --> 00:06:42,200 Speaker 2: they're not practically placed to serve the increased data needs 112 00:06:42,600 --> 00:06:45,960 Speaker 2: that Silicon Valley needs right now, and so he's looking 113 00:06:46,080 --> 00:06:49,880 Speaker 2: at more traditional sources of nuclear energy, such as extending 114 00:06:49,880 --> 00:06:53,760 Speaker 2: the lifetime of existing plants and then filling in generation 115 00:06:53,920 --> 00:06:58,760 Speaker 2: capacity of variable wind and solar with peak gas generation plants. 116 00:06:59,160 --> 00:07:02,560 Speaker 2: So power there's a lot of interest, there's a lot 117 00:07:02,600 --> 00:07:05,880 Speaker 2: of great ideas out there, but it still is facing 118 00:07:06,080 --> 00:07:08,000 Speaker 2: a big challenge when it comes to implementation. 119 00:07:08,400 --> 00:07:12,160 Speaker 1: Thanks to Bloomberg reporter Jonathan Tyrone. For more explanations like 120 00:07:12,200 --> 00:07:14,480 Speaker 1: this from our team of twenty seven hundred journalists and 121 00:07:14,520 --> 00:07:16,720 Speaker 1: analysts around the world. Search for quick Take on the 122 00:07:16,760 --> 00:07:21,800 Speaker 1: Bloomberg website or Bloomberg Business app. I'm Stephen Carol. This 123 00:07:21,880 --> 00:07:24,360 Speaker 1: is Here's why. I'll be back next week with more. 124 00:07:24,560 --> 00:07:25,400 Speaker 1: Thanks for listening.