1 00:00:02,480 --> 00:00:06,840 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:08,600 --> 00:00:12,160 Speaker 2: Just west of Washington, d C. There's a pretty idyllic 3 00:00:12,280 --> 00:00:15,240 Speaker 2: place with rolling hills and horse pastures. 4 00:00:15,600 --> 00:00:18,440 Speaker 1: It's really pretty driving around, really beautiful, lots of trees. 5 00:00:18,520 --> 00:00:20,360 Speaker 1: Especially coming from New York City. I was like, Wow, 6 00:00:20,400 --> 00:00:21,760 Speaker 1: this is so fun to get out of the office. 7 00:00:21,880 --> 00:00:22,840 Speaker 1: Is really nice out here. 8 00:00:23,440 --> 00:00:27,280 Speaker 2: Josh Saul recently went to Louden County, Virginia. He covers 9 00:00:27,400 --> 00:00:30,400 Speaker 2: energy for Bloomberg, and he says this area was mostly 10 00:00:30,480 --> 00:00:33,840 Speaker 2: farmland until just over a decade ago. It was something 11 00:00:33,840 --> 00:00:36,760 Speaker 2: that county touted in economic development videos. 12 00:00:37,000 --> 00:00:39,400 Speaker 3: One of the things I real egove about Louden County 13 00:00:39,479 --> 00:00:42,479 Speaker 3: is it has rural parts and then urban hearts. 14 00:00:42,760 --> 00:00:44,080 Speaker 1: Quality of life is great here. 15 00:00:44,120 --> 00:00:47,800 Speaker 4: It's fresh air, there's biking mountains, the wineries, almost like 16 00:00:47,800 --> 00:00:50,199 Speaker 4: a California scene. 17 00:00:50,720 --> 00:00:53,800 Speaker 2: Now. It has a population of about half a million people. 18 00:00:54,120 --> 00:00:57,080 Speaker 2: It has the highest median income per county in the US, 19 00:00:57,520 --> 00:01:01,319 Speaker 2: and it's home to Dulles International Airport and something we're 20 00:01:01,320 --> 00:01:03,000 Speaker 2: going to see a lot more of in the years 21 00:01:03,000 --> 00:01:03,360 Speaker 2: to come. 22 00:01:04,160 --> 00:01:07,960 Speaker 1: Louden County offers the easy access to power, tempered environment, 23 00:01:08,360 --> 00:01:11,360 Speaker 1: terrific workforce to draw from, and of course connectivity, which 24 00:01:11,440 --> 00:01:11,959 Speaker 1: is second to. 25 00:01:11,959 --> 00:01:16,679 Speaker 2: Nine easy access to power. Recently, Louden County has seen 26 00:01:16,720 --> 00:01:17,800 Speaker 2: some new construction. 27 00:01:18,040 --> 00:01:22,679 Speaker 1: Josh says, big big buildings, like a couple of Walmarts 28 00:01:22,680 --> 00:01:25,000 Speaker 1: stacked on top of each other, just stretching out. They 29 00:01:25,000 --> 00:01:27,400 Speaker 1: look just like a flotilla of spaceships that kind of 30 00:01:27,440 --> 00:01:28,399 Speaker 1: landed down right there. 31 00:01:28,520 --> 00:01:31,800 Speaker 2: These are massive data centers that now dot the Ladden 32 00:01:31,880 --> 00:01:36,039 Speaker 2: County landscape. Each one is a big windowless warehouse. 33 00:01:36,480 --> 00:01:38,880 Speaker 1: It's pretty fun to walk around. They have server racks 34 00:01:38,920 --> 00:01:41,200 Speaker 1: which are I guess about eight feet tall, little taller 35 00:01:41,240 --> 00:01:43,240 Speaker 1: than me, which are just packed with servers which just 36 00:01:43,319 --> 00:01:45,800 Speaker 1: look like the black box decks to your computer, but 37 00:01:45,920 --> 00:01:49,240 Speaker 1: a little bigger and fancier with more blinking lights. And 38 00:01:49,800 --> 00:01:51,480 Speaker 1: you know, they're just server racks. Kind of as far 39 00:01:51,480 --> 00:01:53,280 Speaker 1: as the I can see. 40 00:01:53,320 --> 00:01:56,280 Speaker 2: One of these data centers, Josh says, can consume as 41 00:01:56,440 --> 00:02:01,440 Speaker 2: much power as thirty thousand homes, and that electricity has 42 00:02:01,520 --> 00:02:05,160 Speaker 2: to come from somewhere. But all these server farms cropping 43 00:02:05,280 --> 00:02:09,480 Speaker 2: up haven't exactly been met with enthusiasm by Louden County residents. 44 00:02:09,760 --> 00:02:13,000 Speaker 1: I went to a community meeting where people were just mad. 45 00:02:13,440 --> 00:02:16,720 Speaker 4: At a certain point if we continue to approve all 46 00:02:16,760 --> 00:02:20,000 Speaker 4: of these data center buildings. There will be a time 47 00:02:20,400 --> 00:02:21,760 Speaker 4: when there won't be a park. 48 00:02:21,800 --> 00:02:24,280 Speaker 1: There won't be there were just so many data centers 49 00:02:24,320 --> 00:02:26,120 Speaker 1: going up all around their homes, you know. And they 50 00:02:26,200 --> 00:02:28,920 Speaker 1: live in a sort of kind of American suburban rural 51 00:02:29,480 --> 00:02:31,680 Speaker 1: nice open fields and lots of trees and also strip 52 00:02:31,720 --> 00:02:35,040 Speaker 1: malls and also gas stations and just kind of nice, 53 00:02:35,160 --> 00:02:38,520 Speaker 1: leafy America, And all of a sudden, there were real 54 00:02:38,760 --> 00:02:43,080 Speaker 1: big industrial look and data centers going in around around 55 00:02:43,080 --> 00:02:44,920 Speaker 1: their homes and on their way to their kids' schools. 56 00:02:45,280 --> 00:02:48,040 Speaker 4: So we've really got to get a handle on what 57 00:02:48,160 --> 00:02:51,720 Speaker 4: we're doing and think about where the power is going 58 00:02:51,760 --> 00:02:55,280 Speaker 4: to come from. 59 00:02:55,400 --> 00:02:59,040 Speaker 2: As the AI industry takes off, there's a competition among 60 00:02:59,080 --> 00:03:03,000 Speaker 2: places like Loud County for the economic development that comes 61 00:03:03,000 --> 00:03:06,560 Speaker 2: with being a data center hub. But that distinction comes 62 00:03:06,560 --> 00:03:08,320 Speaker 2: with some really big trade offs. 63 00:03:08,520 --> 00:03:10,360 Speaker 1: It just raises a lot of questions, how do we 64 00:03:10,400 --> 00:03:12,440 Speaker 1: generate this much power? What does it mean for our 65 00:03:12,440 --> 00:03:14,800 Speaker 1: climate goals? What does it mean for reliability and cost 66 00:03:14,840 --> 00:03:15,200 Speaker 1: of power? 67 00:03:15,400 --> 00:03:18,880 Speaker 2: And that's becoming an issue not just in Northern Virginia. 68 00:03:18,919 --> 00:03:21,320 Speaker 1: It's the same issue that we're seeing all over the world. 69 00:03:21,400 --> 00:03:24,080 Speaker 1: AI is really scrambling our power grids. 70 00:03:26,760 --> 00:03:28,880 Speaker 2: I'm David Gura, and this is the big take from 71 00:03:28,919 --> 00:03:33,680 Speaker 2: Bloomberg News on today's episode, how AI's insatiable demand for 72 00:03:33,880 --> 00:03:38,280 Speaker 2: energy is altering the landscape in hundreds of towns worldwide, 73 00:03:38,760 --> 00:03:42,320 Speaker 2: putting a strain on local power grids and on commitments 74 00:03:42,320 --> 00:03:49,680 Speaker 2: to reduce energy consumption to combat climate change. The promise 75 00:03:49,720 --> 00:03:53,840 Speaker 2: of artificial intelligence has captured the global imagination, but that 76 00:03:53,920 --> 00:03:58,240 Speaker 2: promise comes with a price. AI needs lots of power, 77 00:03:58,440 --> 00:04:01,400 Speaker 2: way more than technologies that come before it. According to 78 00:04:01,400 --> 00:04:02,800 Speaker 2: Bloomberg's Josh Saul. 79 00:04:02,960 --> 00:04:06,080 Speaker 1: The difference is that generative AI, instead of just storing 80 00:04:06,120 --> 00:04:09,720 Speaker 1: your photos or you know, running very simple calculations or 81 00:04:09,760 --> 00:04:15,760 Speaker 1: relatively simple calculations, can create new deductions, new inferences. And 82 00:04:15,840 --> 00:04:19,000 Speaker 1: it's that creation, it's that inference of new things that 83 00:04:19,400 --> 00:04:24,080 Speaker 1: requires so much processing power and therefore so much electricity. 84 00:04:24,279 --> 00:04:27,559 Speaker 2: And this is just the beginning right now. Some say 85 00:04:27,600 --> 00:04:31,159 Speaker 2: AI is still in its infancy, and generative AI is 86 00:04:31,200 --> 00:04:34,400 Speaker 2: expected to be a one point three trillion dollar market 87 00:04:34,480 --> 00:04:35,560 Speaker 2: by twenty thirty two. 88 00:04:35,960 --> 00:04:38,360 Speaker 1: The demand seems to just be going up and up. 89 00:04:38,560 --> 00:04:41,920 Speaker 2: Globally, there are now more than seven thousand data centers 90 00:04:42,080 --> 00:04:45,039 Speaker 2: with the capacity to consume a combined five hundred and 91 00:04:45,040 --> 00:04:49,760 Speaker 2: fourteen tarawad hours of electricity every year. That's greater than 92 00:04:49,760 --> 00:04:54,440 Speaker 2: the total yearly electricity production for Italy or Australia. They're 93 00:04:54,480 --> 00:04:57,599 Speaker 2: just huge, massive energy black holes. 94 00:04:58,040 --> 00:05:00,800 Speaker 1: We had the CEO of a big energy company in 95 00:05:00,920 --> 00:05:03,440 Speaker 1: last week and he told us that he for the 96 00:05:03,480 --> 00:05:06,239 Speaker 1: first time got a request for a five gigawat data center. 97 00:05:06,480 --> 00:05:09,839 Speaker 1: That would be you know, five gigawatts, that's five nuclear reactors. 98 00:05:09,880 --> 00:05:12,359 Speaker 1: That's about the city of Miami, he compared it to. 99 00:05:12,640 --> 00:05:14,160 Speaker 1: So that's just a huge amount of power. 100 00:05:15,400 --> 00:05:19,160 Speaker 2: As Josh mentioned, the power needs of AI are significantly 101 00:05:19,320 --> 00:05:22,880 Speaker 2: different because of all that goes into training models. It 102 00:05:22,960 --> 00:05:26,120 Speaker 2: requires way more computing power than what's used for cloud 103 00:05:26,160 --> 00:05:27,000 Speaker 2: storage of data. 104 00:05:27,560 --> 00:05:32,119 Speaker 1: Generative AI really refers to inference. It refers to AI 105 00:05:32,320 --> 00:05:37,640 Speaker 1: taking you know, data sets or information that it's absorbed 106 00:05:37,680 --> 00:05:39,880 Speaker 1: and coming up with new things. So that could be 107 00:05:39,880 --> 00:05:42,680 Speaker 1: as simple as you know, a silly song that I 108 00:05:42,720 --> 00:05:46,640 Speaker 1: have it create to send to my wife, to new 109 00:05:46,680 --> 00:05:50,920 Speaker 1: climate models, new business models, almost anything you can imagine. 110 00:05:51,240 --> 00:05:54,200 Speaker 2: And this development is of course not unique to loud 111 00:05:54,279 --> 00:05:58,280 Speaker 2: In County. Data centers are cropping up all over the US. 112 00:05:58,480 --> 00:06:00,919 Speaker 2: And around the world to keep up with demand. 113 00:06:01,279 --> 00:06:03,640 Speaker 1: I mean, in the UK, AI is expected to suck 114 00:06:03,720 --> 00:06:06,360 Speaker 1: up five hundred percent more energy over the next decade. 115 00:06:06,560 --> 00:06:09,040 Speaker 1: Here in the US, data centers currently use about three 116 00:06:09,040 --> 00:06:11,599 Speaker 1: percent of our power. According to some estimates, it's supposed 117 00:06:11,600 --> 00:06:13,880 Speaker 1: to be up to eight percent by twenty thirty. And 118 00:06:14,040 --> 00:06:16,640 Speaker 1: Ireland is the place that really boggles my mind. They're 119 00:06:17,080 --> 00:06:19,440 Speaker 1: using more energy for their data centers than they have 120 00:06:19,560 --> 00:06:22,360 Speaker 1: renewable energy total. So it's basically, if you imagined, like 121 00:06:22,440 --> 00:06:24,880 Speaker 1: all the clean energy in the country, it's all going 122 00:06:25,279 --> 00:06:28,440 Speaker 1: just to their data centers. Ireland has attracted so many 123 00:06:28,560 --> 00:06:31,600 Speaker 1: data centers from the big tech companies you know, Microsoft, Amazon, 124 00:06:31,640 --> 00:06:34,800 Speaker 1: and others, that the data centers are forecast to consume 125 00:06:34,839 --> 00:06:37,320 Speaker 1: a third of the country's energy by twenty twenty six. 126 00:06:38,120 --> 00:06:41,040 Speaker 1: It's like you have houses, businesses, and data centers. It's 127 00:06:41,080 --> 00:06:42,400 Speaker 1: just wild. 128 00:06:46,560 --> 00:06:49,720 Speaker 2: The issue is that this demand for electricity is not 129 00:06:49,880 --> 00:06:53,479 Speaker 2: just burdening grids in places like Northern Virginia, it's also 130 00:06:53,600 --> 00:06:56,920 Speaker 2: leading to some compromises in terms of where that electricity 131 00:06:56,960 --> 00:06:57,720 Speaker 2: comes from. 132 00:06:58,040 --> 00:07:02,240 Speaker 1: Power companies have been happy to quickly add on or 133 00:07:02,400 --> 00:07:05,520 Speaker 1: delay retirements in order to keep more power on the grid. 134 00:07:05,800 --> 00:07:09,880 Speaker 1: That's something that's troubling because in a general sense, we've 135 00:07:09,920 --> 00:07:13,760 Speaker 1: been excited to shut down coal plants, to not build 136 00:07:13,880 --> 00:07:16,960 Speaker 1: new gas plants, for example, because both of those emit carbon, 137 00:07:17,000 --> 00:07:20,000 Speaker 1: which is what's warming the world or causing climate change. 138 00:07:20,160 --> 00:07:24,400 Speaker 1: But when you have big, new, one gigawatt data centers 139 00:07:24,440 --> 00:07:27,080 Speaker 1: showing up, then you have the power companies or even 140 00:07:27,120 --> 00:07:30,520 Speaker 1: their regulators saying, hey, that one gigawatt coal plant, let's 141 00:07:30,640 --> 00:07:32,160 Speaker 1: keep that bad boy burning. 142 00:07:33,480 --> 00:07:37,680 Speaker 2: Coming up. The practical consequences of this surge and electricity 143 00:07:37,720 --> 00:07:40,440 Speaker 2: demand from data centers in terms of the price you 144 00:07:40,520 --> 00:07:51,600 Speaker 2: pay for power and the fight against global warming. As 145 00:07:51,680 --> 00:07:55,720 Speaker 2: places like Laden County and rural Texas, Ireland and Malaysia 146 00:07:55,800 --> 00:07:58,240 Speaker 2: struggle to keep up with how much power data centers 147 00:07:58,320 --> 00:08:02,480 Speaker 2: need Bloomberg's Josh Saws as utilities are scrambling to get 148 00:08:02,480 --> 00:08:06,160 Speaker 2: ahead of that demand. They're upgrading their systems, installing new 149 00:08:06,200 --> 00:08:09,840 Speaker 2: transmission lines, constructing new power plans, and all of that 150 00:08:10,200 --> 00:08:13,120 Speaker 2: comes with a cost. Are people footing the bill for 151 00:08:13,200 --> 00:08:15,080 Speaker 2: all of this? I mean, are prices going up? 152 00:08:15,240 --> 00:08:17,440 Speaker 1: Experts tell us that the price of power does go up. 153 00:08:17,520 --> 00:08:20,320 Speaker 1: I mean a simple supply and demand. Utilities like the 154 00:08:20,320 --> 00:08:24,160 Speaker 1: one in Virginia are very focused on allocating those costs, 155 00:08:24,520 --> 00:08:27,080 Speaker 1: with more going to data centers and less going to 156 00:08:27,240 --> 00:08:30,440 Speaker 1: homeowners or to small business owners. But certainly it's the 157 00:08:30,480 --> 00:08:33,040 Speaker 1: price of power is going up, and it's not. 158 00:08:32,920 --> 00:08:35,720 Speaker 2: Just the cost of electricity. All this demand on the 159 00:08:35,760 --> 00:08:38,880 Speaker 2: grid is leading to delays of all kinds of other 160 00:08:39,160 --> 00:08:41,320 Speaker 2: non data center related development here. 161 00:08:41,160 --> 00:08:43,959 Speaker 1: In the US. Even in other places, power companies are 162 00:08:44,080 --> 00:08:46,040 Speaker 1: kind of stretching out the amount of time it takes 163 00:08:46,040 --> 00:08:48,160 Speaker 1: to hook up to the grid. That's something that we 164 00:08:48,200 --> 00:08:51,120 Speaker 1: haven't really seen that much before in the US, especially 165 00:08:51,160 --> 00:08:53,280 Speaker 1: that you don't just get a power hookup when you 166 00:08:53,360 --> 00:08:55,160 Speaker 1: want it. I mean, can you imagine building a house 167 00:08:55,200 --> 00:08:57,480 Speaker 1: and the local power company says, hey, we might be 168 00:08:57,480 --> 00:08:59,880 Speaker 1: able to hook you up to power until twenty twenty nine. 169 00:09:00,080 --> 00:09:02,000 Speaker 1: Till then good luck, careful with the candles. 170 00:09:02,440 --> 00:09:04,840 Speaker 2: This is not just a problem in the United States. 171 00:09:05,040 --> 00:09:08,800 Speaker 2: It's something happening in many other countries, and some places 172 00:09:08,920 --> 00:09:11,440 Speaker 2: have decided that they need to slow things down. 173 00:09:12,640 --> 00:09:15,200 Speaker 1: It's really the issues as we describe to them in 174 00:09:15,280 --> 00:09:19,080 Speaker 1: Virginia identically happening all around the world. You know, Ireland 175 00:09:19,120 --> 00:09:23,520 Speaker 1: also had a moratorium. Malaysia also had a moratorium of 176 00:09:23,559 --> 00:09:25,360 Speaker 1: several years on new data centers. 177 00:09:27,559 --> 00:09:29,559 Speaker 2: But a lot of these tech companies are now building 178 00:09:29,679 --> 00:09:32,280 Speaker 2: data centers that they can't, at least as of yet, 179 00:09:32,559 --> 00:09:36,400 Speaker 2: hook up to the grid. Existing infrastructure just isn't ready 180 00:09:36,440 --> 00:09:36,760 Speaker 2: for it. 181 00:09:37,120 --> 00:09:40,560 Speaker 1: I mean without electricity, the servers are completely useless. I 182 00:09:40,559 --> 00:09:43,040 Speaker 1: mean you could stack them up and kickflip over them, 183 00:09:43,040 --> 00:09:45,960 Speaker 1: but you couldn't do anything with them without electricity. So 184 00:09:46,000 --> 00:09:51,079 Speaker 1: certainly having wires to them, having a fishient generation, having 185 00:09:51,080 --> 00:09:54,960 Speaker 1: a well balanced grid, all of that is absolutely crucial 186 00:09:55,120 --> 00:09:56,400 Speaker 1: to the development of AI. 187 00:09:57,040 --> 00:10:00,000 Speaker 2: All of this is creating a conundrum for tech companies 188 00:10:00,040 --> 00:10:03,760 Speaker 2: whose future rests on their ability to push forward generative 189 00:10:03,760 --> 00:10:04,840 Speaker 2: AI technologies. 190 00:10:05,480 --> 00:10:06,160 Speaker 1: How are the. 191 00:10:06,040 --> 00:10:10,360 Speaker 2: Tech companies thinking through the realities of this. What are 192 00:10:10,360 --> 00:10:13,080 Speaker 2: they saying about the challenge of getting the energy that 193 00:10:13,080 --> 00:10:14,760 Speaker 2: they need to run these data centers. 194 00:10:15,000 --> 00:10:17,959 Speaker 1: Pretty much all of the big tech companies have set ambitious, 195 00:10:18,320 --> 00:10:21,520 Speaker 1: impressive clean energy goals, you know, they almost to a 196 00:10:21,679 --> 00:10:23,720 Speaker 1: company have said by twenty thirty, we're going to be 197 00:10:23,720 --> 00:10:27,120 Speaker 1: one hundred percent clean energy for our data centers. But 198 00:10:27,160 --> 00:10:29,880 Speaker 1: it's a difficult thing to do because data centers are 199 00:10:29,960 --> 00:10:33,320 Speaker 1: on all the time, one hundred percent of the time. 200 00:10:33,400 --> 00:10:36,920 Speaker 1: So to match that to clean energy is hard. 201 00:10:37,440 --> 00:10:40,120 Speaker 2: Do they the tech companies believe that kind of traditional 202 00:10:40,160 --> 00:10:42,280 Speaker 2: green energies. Do they think that green energy is going 203 00:10:42,280 --> 00:10:44,320 Speaker 2: to be enough to make up the difference that they need. 204 00:10:44,520 --> 00:10:46,880 Speaker 1: Well, everybody loves nuclear, I mean nuclear has gotten so hot. 205 00:10:46,920 --> 00:10:49,840 Speaker 1: Like Joe Rogan talking about nuclear. Oh, it's all we 206 00:10:49,880 --> 00:10:52,160 Speaker 1: need to have enough water for California. Just a bunch 207 00:10:52,200 --> 00:10:55,600 Speaker 1: of desalination plants next to nuclear and we'll turn the 208 00:10:55,600 --> 00:10:58,679 Speaker 1: whole valley green. Bill Gates talking about it now everybody. Yeah, 209 00:10:58,840 --> 00:11:02,280 Speaker 1: everyone's very excited about New clear it's baseload power, but 210 00:11:02,640 --> 00:11:05,360 Speaker 1: the truth is that it's extremely expensive and takes an 211 00:11:05,360 --> 00:11:08,840 Speaker 1: extremely long time. The only big nuclear plant that has 212 00:11:08,880 --> 00:11:11,200 Speaker 1: been built in the US in recent years was finished 213 00:11:11,200 --> 00:11:14,000 Speaker 1: recently in Georgia, and it was the over budget and 214 00:11:14,200 --> 00:11:17,600 Speaker 1: ten years behind schedule. I mean, it's just tremendously expensive 215 00:11:17,600 --> 00:11:20,880 Speaker 1: and difficult to build, and that makes it really hard 216 00:11:20,920 --> 00:11:24,160 Speaker 1: to count on nuclear as a big part of what's 217 00:11:24,200 --> 00:11:28,400 Speaker 1: going to power these projects. But again, our grid as 218 00:11:28,400 --> 00:11:30,360 Speaker 1: it was set up, even when I started reporting on 219 00:11:30,400 --> 00:11:32,880 Speaker 1: this maybe a few years ago, the idea was that 220 00:11:32,880 --> 00:11:35,960 Speaker 1: we would be shutting down the fossil fuel generation in 221 00:11:36,080 --> 00:11:38,920 Speaker 1: order to lower carbon emissions, and when you add new 222 00:11:39,000 --> 00:11:41,559 Speaker 1: load onto that, it just makes that job of shutting 223 00:11:41,559 --> 00:11:43,440 Speaker 1: things down really really hard. 224 00:11:43,880 --> 00:11:47,280 Speaker 2: For now, in Loudon County, there's no sign the development 225 00:11:47,320 --> 00:11:50,400 Speaker 2: of new data centers is going to stop or slow down, 226 00:11:51,000 --> 00:11:54,040 Speaker 2: and that's made its story something of a cautionary tale 227 00:11:54,080 --> 00:11:58,240 Speaker 2: for other counties nearby. Josh recently attended a community meeting 228 00:11:58,320 --> 00:12:01,560 Speaker 2: in Prince William County, which is just next door to Louden, 229 00:12:01,960 --> 00:12:05,040 Speaker 2: and it's already starting to see server farms crop up 230 00:12:05,160 --> 00:12:06,520 Speaker 2: in its horse pastures. 231 00:12:07,720 --> 00:12:09,559 Speaker 1: You know, about a dozen people stood up in each 232 00:12:09,600 --> 00:12:12,120 Speaker 1: of them saying real clearly, you know, we do not 233 00:12:12,200 --> 00:12:14,400 Speaker 1: want to be like Louden County. Prince William is different. 234 00:12:14,520 --> 00:12:17,760 Speaker 3: Prince William County is in a hole. We are in 235 00:12:17,800 --> 00:12:20,720 Speaker 3: a hole like Louden County, and we are in a 236 00:12:20,760 --> 00:12:23,800 Speaker 3: hole like the state of Virginia and many other places 237 00:12:23,840 --> 00:12:30,120 Speaker 3: throughout the country. At some point we need to take 238 00:12:30,200 --> 00:12:33,600 Speaker 3: stock of how much infrastructure is going to be required. 239 00:12:34,160 --> 00:12:37,199 Speaker 1: We do not want this. This is a dystopian nightmare. 240 00:12:36,720 --> 00:12:40,480 Speaker 5: And we cannot and should not support any more data 241 00:12:40,480 --> 00:12:44,400 Speaker 5: center expansion from what is already permitted within the overlay. 242 00:12:44,480 --> 00:12:47,240 Speaker 5: Due to the crippling energy demands of the current data 243 00:12:47,280 --> 00:12:48,960 Speaker 5: center infrastructure in this county. 244 00:12:48,640 --> 00:12:52,000 Speaker 1: Already, and the supervisors listened to the whole thing and 245 00:12:52,040 --> 00:12:57,120 Speaker 1: then voted almost unanimously to allow the larger data center. 246 00:12:57,440 --> 00:13:00,000 Speaker 5: It's going to be the first vote in a domin 247 00:13:00,200 --> 00:13:03,400 Speaker 5: no effect of data center sprawl that you cannot control, 248 00:13:03,720 --> 00:13:06,400 Speaker 5: that balls out of your hands, and that the public 249 00:13:06,720 --> 00:13:12,079 Speaker 5: rightfully blames you for because we will hold you accountable 250 00:13:12,080 --> 00:13:15,600 Speaker 5: for it. 251 00:13:15,600 --> 00:13:18,960 Speaker 2: It reinforces this idea that even though AI is still 252 00:13:19,000 --> 00:13:22,320 Speaker 2: in its early days, because of how incredibly fast it's 253 00:13:22,320 --> 00:13:25,840 Speaker 2: growing and how much money is behind its development, it's 254 00:13:26,040 --> 00:13:27,800 Speaker 2: very hard to stand in its way. 255 00:13:28,440 --> 00:13:30,679 Speaker 1: I think there's a huge amount of momentum for more 256 00:13:30,760 --> 00:13:34,040 Speaker 1: data centers, and I think all of us vote for 257 00:13:34,120 --> 00:13:38,360 Speaker 1: more data centers. Every time we have a more sophisticated 258 00:13:38,360 --> 00:13:41,000 Speaker 1: medical procedure done at a hospital, every time we order 259 00:13:41,040 --> 00:13:44,199 Speaker 1: something online, every time we send a Miley Cyrus meme 260 00:13:44,280 --> 00:13:46,520 Speaker 1: to our wife. It's all running through the data centers. 261 00:13:46,520 --> 00:13:48,440 Speaker 1: It's all running through our phones and our data centers 262 00:13:48,440 --> 00:13:51,560 Speaker 1: and our computers and our employers. And I think it 263 00:13:51,679 --> 00:13:54,720 Speaker 1: just means more and more data centers around the world 264 00:13:54,920 --> 00:13:57,720 Speaker 1: and around the US, and on your drive to work. 265 00:14:03,480 --> 00:14:06,000 Speaker 2: This is the Big Take from Bloomberg News. I'm David Gura. 266 00:14:06,440 --> 00:14:09,720 Speaker 2: This episode was produced by Adriana Tapia. It was edited 267 00:14:09,800 --> 00:14:12,920 Speaker 2: by Stacy Vanick Smith and Seth Figgerman. It was mixed 268 00:14:12,920 --> 00:14:16,400 Speaker 2: by Alex Sigura, who also fact checked this episode. Our 269 00:14:16,480 --> 00:14:19,680 Speaker 2: senior producers are Kim Gittlson and Naomi Shaven, and our 270 00:14:19,720 --> 00:14:23,320 Speaker 2: senior editor is Elizabeth Ponso. Nicole Beemster Borr is our 271 00:14:23,360 --> 00:14:27,400 Speaker 2: executive producer. Sage Bauman is head of podcast. Thanks so 272 00:14:27,480 --> 00:14:30,120 Speaker 2: much for listening. Please follow and review The Big Take 273 00:14:30,160 --> 00:14:33,120 Speaker 2: wherever you get your podcasts. It helps new listeners find 274 00:14:33,120 --> 00:14:34,880 Speaker 2: the show. We'll be back tomorrow