1 00:00:00,360 --> 00:00:03,120 Speaker 1: Good morning from on the road to the former great 2 00:00:03,120 --> 00:00:06,400 Speaker 1: state of Colorado. I think President Trump is kind of 3 00:00:06,400 --> 00:00:08,960 Speaker 1: blowing a little bit of that construction dust into the 4 00:00:09,000 --> 00:00:13,120 Speaker 1: eyes of the Democrat senators. What do you think, did 5 00:00:13,160 --> 00:00:15,480 Speaker 1: everyone have a great day? 6 00:00:16,200 --> 00:00:19,840 Speaker 2: Have you seen the pictures of the of the bulldozers. Yeah, 7 00:00:20,280 --> 00:00:22,800 Speaker 2: I was shocked to see it. I mean, I knew 8 00:00:22,800 --> 00:00:24,400 Speaker 2: they were going to rebuild, you know, they were going 9 00:00:24,440 --> 00:00:27,240 Speaker 2: to rebuild the East Wing, and they were going to, 10 00:00:27,520 --> 00:00:30,800 Speaker 2: you know, build this giant ballroom. And I'm actually in 11 00:00:30,840 --> 00:00:33,440 Speaker 2: favor of the ballroom. If you've never if you've ever 12 00:00:33,440 --> 00:00:35,080 Speaker 2: been to a state dinner, when I know most of 13 00:00:35,120 --> 00:00:37,479 Speaker 2: you have not been to a state dinner, but the 14 00:00:37,479 --> 00:00:41,320 Speaker 2: state dinners in the East Room, which is on the 15 00:00:41,720 --> 00:00:43,720 Speaker 2: far east end of the East Wing. 16 00:00:44,240 --> 00:00:44,800 Speaker 3: Go figure. 17 00:00:44,960 --> 00:00:47,239 Speaker 2: Yeah, I don't know how they did that, but they 18 00:00:47,240 --> 00:00:49,159 Speaker 2: figured out. They put the East Room on the end 19 00:00:49,159 --> 00:00:53,160 Speaker 2: of the East Wing. It only holds about two hundred people, 20 00:00:54,080 --> 00:00:56,440 Speaker 2: and so when you have a state dinner, which involves 21 00:00:56,640 --> 00:01:00,319 Speaker 2: meeting more people, like four to six hundred people, they 22 00:01:00,400 --> 00:01:03,360 Speaker 2: actually have to put some of the people out on 23 00:01:03,800 --> 00:01:05,960 Speaker 2: the lawn in those tents. 24 00:01:06,319 --> 00:01:08,920 Speaker 3: Some people get set at the kiddy table outside. 25 00:01:08,720 --> 00:01:10,760 Speaker 2: Yeah, which which is really kind of what it turns 26 00:01:10,800 --> 00:01:13,760 Speaker 2: out to be. It's like, gee, I flew all the 27 00:01:13,760 --> 00:01:16,880 Speaker 2: way here from Mongolia to go to attend the state dinner, 28 00:01:17,240 --> 00:01:18,800 Speaker 2: and I'm in the tent. 29 00:01:18,880 --> 00:01:21,160 Speaker 3: Well, I I hit a state omens state in the tent. 30 00:01:23,280 --> 00:01:28,200 Speaker 2: So his his doing it, I think, is fine, and 31 00:01:28,560 --> 00:01:30,640 Speaker 2: it's not costing taxpayers anything. 32 00:01:31,240 --> 00:01:32,080 Speaker 3: I'm not quite sure. 33 00:01:32,120 --> 00:01:35,720 Speaker 2: I've heard that he's paying for it himself personally, or 34 00:01:35,840 --> 00:01:38,320 Speaker 2: I've heard that, you know, other people are donating to it. 35 00:01:38,400 --> 00:01:41,240 Speaker 2: I'm not sure it doesn't, but taxpayers are not paying 36 00:01:41,280 --> 00:01:45,840 Speaker 2: for it. There is the White House Historical Society, so 37 00:01:46,120 --> 00:01:50,280 Speaker 2: whatever they're going to reconstruct, at least on the front facade, 38 00:01:50,800 --> 00:01:55,000 Speaker 2: is going to have to meet whatever historical standards are required. 39 00:01:55,640 --> 00:01:59,400 Speaker 2: And I've heard that he has detailed plans about how 40 00:01:59,440 --> 00:02:02,200 Speaker 2: this ballroom is going to exist, and then the ballroom 41 00:02:02,200 --> 00:02:05,080 Speaker 2: will be there for everybody else. So I really don't 42 00:02:05,080 --> 00:02:08,520 Speaker 2: have a problem with it. It's it, that's fine. I 43 00:02:08,680 --> 00:02:11,960 Speaker 2: was just kind of wow. I saw the front being 44 00:02:12,000 --> 00:02:14,280 Speaker 2: torn down. It was just kind of shocking to see 45 00:02:14,280 --> 00:02:16,120 Speaker 2: it for the first time. Construction is a site that 46 00:02:16,160 --> 00:02:19,760 Speaker 2: you're okay seeing, but it's just weird seeing it at 47 00:02:19,760 --> 00:02:20,400 Speaker 2: the White House. 48 00:02:20,480 --> 00:02:20,799 Speaker 3: Yeah. 49 00:02:20,919 --> 00:02:23,720 Speaker 2: Then I saw it last night, a great meme A 50 00:02:23,800 --> 00:02:27,360 Speaker 2: bathroom wasn't And I thought, this is how you have 51 00:02:27,400 --> 00:02:29,720 Speaker 2: to be so careful about the news. Because someone had 52 00:02:29,760 --> 00:02:33,880 Speaker 2: presented this on x as an actual news story that 53 00:02:34,320 --> 00:02:38,240 Speaker 2: there had been an accident at the construction site. So 54 00:02:38,520 --> 00:02:42,280 Speaker 2: I'm like, oh, geez, what happened. You know what they 55 00:02:42,320 --> 00:02:44,560 Speaker 2: do is they showed the giant crane that's you know, 56 00:02:44,840 --> 00:02:47,680 Speaker 2: digging in and pulling up the stuff and swinging around 57 00:02:47,880 --> 00:02:49,760 Speaker 2: and then dumping the pile to be hauled off. 58 00:02:49,800 --> 00:02:53,440 Speaker 3: Okay, and when they dump it off, there's a giant. 59 00:02:53,840 --> 00:03:00,000 Speaker 2: Like like a Macy's Thanksgiving Day paryed balloon of Donald 60 00:03:00,160 --> 00:03:05,520 Speaker 2: Trump being dumped off. And that was the accident. I 61 00:03:05,600 --> 00:03:08,360 Speaker 2: was so mad at myself. It was funny. It was 62 00:03:08,680 --> 00:03:11,160 Speaker 2: wip out loud funny because I thought there had been 63 00:03:11,200 --> 00:03:13,960 Speaker 2: an accident and oh no, it was somebody making fun. 64 00:03:13,960 --> 00:03:17,040 Speaker 2: They had picked up Donald Trump and dumped him on 65 00:03:17,080 --> 00:03:22,520 Speaker 2: the front lawn. I'm easily entertained, dragon, I'm easily entertained. 66 00:03:23,760 --> 00:03:25,400 Speaker 3: Uh doly. 67 00:03:26,080 --> 00:03:31,200 Speaker 2: Thing that I would say about the timing, I'm not 68 00:03:31,240 --> 00:03:34,760 Speaker 2: sure that even though taxpayers aren't paying for it, I 69 00:03:34,800 --> 00:03:38,960 Speaker 2: think the timing might be a little politically off because 70 00:03:39,040 --> 00:03:42,000 Speaker 2: if the Democrats were smart, they would be complaining about it. 71 00:03:42,240 --> 00:03:44,720 Speaker 2: I'm not sure they are, but I really don't care 72 00:03:44,760 --> 00:03:47,840 Speaker 2: what the Democrats complain about or not. Somebody said on 73 00:03:47,840 --> 00:03:51,200 Speaker 2: the t speaking of Democrats not even getting to the 74 00:03:51,200 --> 00:03:53,360 Speaker 2: story I want to start off with. But in the 75 00:03:53,400 --> 00:04:03,400 Speaker 2: text line, somebody wrote, let's see, Oh, if the shutdown 76 00:04:03,440 --> 00:04:07,000 Speaker 2: goes to November twenty third and social Security checks don't 77 00:04:07,000 --> 00:04:10,400 Speaker 2: go out, it's going to cost Republicans next November. Americans. 78 00:04:10,440 --> 00:04:12,760 Speaker 2: Anger will be anger will be taken out on the 79 00:04:12,800 --> 00:04:15,080 Speaker 2: party in power. That is how I see it. It's 80 00:04:15,080 --> 00:04:20,320 Speaker 2: our wallet, stupid. That's not going to happen. Social Security 81 00:04:20,400 --> 00:04:25,320 Speaker 2: checks will go out because guess what, it's automated. Yes, 82 00:04:25,600 --> 00:04:30,720 Speaker 2: it's automated. Now, if you are currently not receiving a 83 00:04:30,760 --> 00:04:37,440 Speaker 2: Social Security check but you have applied, that may be delayed. 84 00:04:38,279 --> 00:04:42,240 Speaker 2: You will still get your back social Security checks, but 85 00:04:42,560 --> 00:04:45,960 Speaker 2: you're not getting it now. You won't get you. I 86 00:04:46,000 --> 00:04:48,760 Speaker 2: won't even say you won't get it. It's just likely 87 00:04:48,880 --> 00:04:52,400 Speaker 2: that you may not get it. Because while Social Security 88 00:04:52,960 --> 00:04:59,160 Speaker 2: main office in DC is operating, it's pretty much on autopilot. 89 00:05:00,320 --> 00:05:03,000 Speaker 2: Some of the local offices may not be fully staffed, 90 00:05:03,040 --> 00:05:10,040 Speaker 2: so there might be some delays there. Prediction forty five 91 00:05:10,160 --> 00:05:14,400 Speaker 2: twenty nine government shut down will end, then Republicans will 92 00:05:14,400 --> 00:05:17,000 Speaker 2: cave during negotiations and the Dems will get what they 93 00:05:17,040 --> 00:05:25,760 Speaker 2: want at the end. Thoughts, I'm not really sure, you know. 94 00:05:25,839 --> 00:05:28,599 Speaker 2: All of this goes all the way back to remember 95 00:05:28,680 --> 00:05:32,640 Speaker 2: when John McCain had been sick. He'd been down in 96 00:05:32,720 --> 00:05:36,599 Speaker 2: Arizona battling his cancer or something, and he triumph fully 97 00:05:36,720 --> 00:05:40,200 Speaker 2: walked back onto the Senate floor and they were doing 98 00:05:40,240 --> 00:05:45,480 Speaker 2: a vote on whether or not to eliminate Obamacare, and 99 00:05:45,560 --> 00:05:48,919 Speaker 2: he walked in and with his bad arm, gave a 100 00:05:49,120 --> 00:05:54,360 Speaker 2: thumbs down, and the place erupted because they had John 101 00:05:54,440 --> 00:06:00,720 Speaker 2: McCain had had single handedly saved Obamacare. The down is 102 00:06:01,640 --> 00:06:07,680 Speaker 2: really about two things. It's about the Obamacare subsidies, and 103 00:06:08,080 --> 00:06:12,080 Speaker 2: it is about all the additional news spending, which amounts 104 00:06:12,080 --> 00:06:15,200 Speaker 2: to almost a trillion dollars that Democrats want to add 105 00:06:15,240 --> 00:06:18,839 Speaker 2: to the cr So I think Republicans are in a 106 00:06:18,880 --> 00:06:23,760 Speaker 2: fairly good position. Think about this in terms of obamacareare 107 00:06:24,640 --> 00:06:25,719 Speaker 2: have you ever had? 108 00:06:25,760 --> 00:06:25,920 Speaker 3: Now? 109 00:06:25,960 --> 00:06:27,680 Speaker 2: We knew this For those of us who have both 110 00:06:27,720 --> 00:06:30,960 Speaker 2: opposed Obamacare from the very beginning, we knew that this 111 00:06:31,279 --> 00:06:35,080 Speaker 2: was a wolf in sheep's clothing. 112 00:06:36,360 --> 00:06:37,520 Speaker 3: It was a trojan horse. 113 00:06:38,200 --> 00:06:43,080 Speaker 2: It was the proverbial foot in the door to socialized, 114 00:06:43,240 --> 00:06:50,279 Speaker 2: nationalized healthcare. Why does Obamacare need subsidies? I thought it 115 00:06:50,320 --> 00:06:52,640 Speaker 2: was going to lower premiums. I thought it was going 116 00:06:52,680 --> 00:06:54,760 Speaker 2: to know, if you like your doctor, you can keep 117 00:06:54,760 --> 00:06:59,839 Speaker 2: your doctor. It has done nothing, absolutely nothing that it 118 00:06:59,880 --> 00:07:03,680 Speaker 2: was intended to do. And in fact, it hasn't lowered 119 00:07:03,720 --> 00:07:08,520 Speaker 2: premium It has increased premiums. And they have been subsidizing 120 00:07:08,560 --> 00:07:12,160 Speaker 2: premiums on that stupid exchange in order to keep the 121 00:07:12,200 --> 00:07:16,320 Speaker 2: price of the premiums down. Because without the premiums, then 122 00:07:16,440 --> 00:07:20,480 Speaker 2: the truth about Obamacare is fully exposed, and we know 123 00:07:20,560 --> 00:07:25,400 Speaker 2: that the premiums are skyrocketed. And they've skyrocketed because you 124 00:07:25,600 --> 00:07:31,040 Speaker 2: have a government mandated market insurance market and a mandated 125 00:07:31,120 --> 00:07:35,120 Speaker 2: risk pool in Obamacare and in those subsidies, and so 126 00:07:36,000 --> 00:07:40,360 Speaker 2: the insurance companies are not able to develop risk pools 127 00:07:40,400 --> 00:07:43,440 Speaker 2: as they would normally in any other situation, and so 128 00:07:43,560 --> 00:07:48,680 Speaker 2: it's a false, artificial risk pool, and so they have 129 00:07:48,800 --> 00:07:55,000 Speaker 2: to price accordingly. Since a price accordingly, it's extraordinarily high, 130 00:07:55,440 --> 00:07:59,960 Speaker 2: and because it's extraordinarily high, they're providing subsidies to keep 131 00:08:00,120 --> 00:08:06,120 Speaker 2: those premiums low. In other words, everyone, everybody is paying 132 00:08:07,560 --> 00:08:12,920 Speaker 2: for the increased cost of Obamacare. In addition to that, 133 00:08:13,920 --> 00:08:19,960 Speaker 2: the Obamacare subsidies and some of those policies on the 134 00:08:20,080 --> 00:08:25,840 Speaker 2: Exchange are available to certain illegal aliens, not all illegal aliens, 135 00:08:26,000 --> 00:08:30,400 Speaker 2: but some illegal aliens. I don't want any illegal aliens 136 00:08:30,640 --> 00:08:36,360 Speaker 2: getting subsidized healthcare, and in fact, we ought to tighten 137 00:08:36,440 --> 00:08:39,520 Speaker 2: up the rules that if you walk, if you go 138 00:08:39,600 --> 00:08:43,600 Speaker 2: into an emergency room because you have a gunshot wound, 139 00:08:44,240 --> 00:08:46,320 Speaker 2: you go into an emergency room because you've been involved 140 00:08:46,360 --> 00:08:48,280 Speaker 2: in a car wreck and you need to be checked. 141 00:08:48,880 --> 00:08:51,680 Speaker 2: I do I agree with the law that says we 142 00:08:51,760 --> 00:08:53,880 Speaker 2: will take care of you whether you can pay or not, 143 00:08:54,400 --> 00:08:58,360 Speaker 2: because it's it wasn't your fault, unless, of course, the 144 00:08:58,679 --> 00:09:01,120 Speaker 2: car is your fault, or you were again banger, but 145 00:09:01,440 --> 00:09:04,520 Speaker 2: it's gonna be too difficult to weed those out. But 146 00:09:04,600 --> 00:09:08,280 Speaker 2: if you walk into an emergency room because of a 147 00:09:08,320 --> 00:09:12,319 Speaker 2: gsw or you know your carotid artery is bleeding out 148 00:09:12,440 --> 00:09:14,840 Speaker 2: because of a car wreck, whatever it is, then yeah, 149 00:09:14,920 --> 00:09:17,240 Speaker 2: I think that we should try to take care of 150 00:09:17,320 --> 00:09:21,679 Speaker 2: you and save your life. However, we also pay for 151 00:09:21,720 --> 00:09:26,079 Speaker 2: something else. In ers, and that is these illegal aliens 152 00:09:26,280 --> 00:09:30,240 Speaker 2: don't have primary care physicians because they can't afford it, 153 00:09:30,280 --> 00:09:32,760 Speaker 2: so they go to the er because the kid has 154 00:09:32,760 --> 00:09:35,800 Speaker 2: a cold, or the kid has a temperature, or somebody's 155 00:09:35,800 --> 00:09:37,720 Speaker 2: got an upset stomach. I don't think we should be 156 00:09:37,720 --> 00:09:41,840 Speaker 2: paying for that. You want that paid for, then there 157 00:09:41,840 --> 00:09:46,720 Speaker 2: ought to be some private charitable organization that either pays 158 00:09:46,760 --> 00:09:48,880 Speaker 2: for that or covers for that. I don't think the 159 00:09:48,920 --> 00:09:53,839 Speaker 2: taxpayer should be doing it. Insofar as will the Republicans cave, 160 00:09:55,280 --> 00:09:59,400 Speaker 2: I don't know that they will. There may be some 161 00:09:59,480 --> 00:10:02,920 Speaker 2: given tas, but cave versus give and take are two 162 00:10:02,960 --> 00:10:09,080 Speaker 2: different things. Nothing's going to change until we recognize and 163 00:10:09,160 --> 00:10:14,439 Speaker 2: admit that socialized medicine doesn't work. Nationalized healthcare doesn't work. 164 00:10:14,720 --> 00:10:16,760 Speaker 2: We get the prime example in Europe. All you have 165 00:10:16,800 --> 00:10:18,839 Speaker 2: to do is look at Europe. They're spending too much 166 00:10:18,880 --> 00:10:23,800 Speaker 2: money there and so boom, stop it. Just absolutely stop it. 167 00:10:25,559 --> 00:10:27,080 Speaker 2: Now back to the story that I wanted to start 168 00:10:27,080 --> 00:10:29,760 Speaker 2: out with infrastructure. He has to be talked about the 169 00:10:29,840 --> 00:10:35,800 Speaker 2: energy projects and how Chris Wright, the Secretary of Energy, 170 00:10:35,880 --> 00:10:40,480 Speaker 2: has been saving us this money by eliminating these fools 171 00:10:40,559 --> 00:10:44,000 Speaker 2: air and projects that are going on. Well, there's something 172 00:10:44,000 --> 00:10:47,040 Speaker 2: else going on, and I would put it this way. 173 00:10:47,200 --> 00:10:50,840 Speaker 2: We have an infrastructure crisis in this country. And it's 174 00:10:50,960 --> 00:10:54,480 Speaker 2: not as I did for the Michael Brown minute. It's not, 175 00:10:54,679 --> 00:10:57,720 Speaker 2: for example, the Denver City County in jail, which is 176 00:10:57,840 --> 00:11:02,160 Speaker 2: understaffed by about sixty seven and they can't keep people hired, 177 00:11:02,440 --> 00:11:04,479 Speaker 2: they can't pay there because they're spending. 178 00:11:04,240 --> 00:11:05,480 Speaker 3: Money on all the wrong things. 179 00:11:08,200 --> 00:11:14,040 Speaker 2: There is developing across the country this localized resistance to 180 00:11:14,559 --> 00:11:19,720 Speaker 2: these data centers, and that risks national security and quite frankly, 181 00:11:19,760 --> 00:11:23,040 Speaker 2: at risk our prosperity. 182 00:11:23,240 --> 00:11:24,160 Speaker 3: Someone asked me. 183 00:11:24,320 --> 00:11:26,480 Speaker 2: Yeah, I forget what the context was when I thought 184 00:11:26,480 --> 00:11:31,360 Speaker 2: about artificial intelligence, and I'm four. I think the development 185 00:11:31,400 --> 00:11:34,760 Speaker 2: of artificial intelligence is going to do some really great 186 00:11:34,960 --> 00:11:39,640 Speaker 2: things for our society, including in our national security and 187 00:11:39,720 --> 00:11:44,640 Speaker 2: our national defense. I also believe as to localize it, 188 00:11:45,320 --> 00:11:49,600 Speaker 2: there is the city of Aurora yesterday adopted a new 189 00:11:49,720 --> 00:11:55,280 Speaker 2: facial recognition program so that they can follow up on tips, 190 00:11:56,040 --> 00:11:59,000 Speaker 2: they can follow up on investigations, is the way they 191 00:11:59,040 --> 00:12:03,960 Speaker 2: described it on the news story last night. However, they 192 00:12:04,080 --> 00:12:09,120 Speaker 2: can't use it to arrest people. The company that they've 193 00:12:09,360 --> 00:12:15,199 Speaker 2: hired uses artificial intelligence in this facial recognition program, and 194 00:12:15,240 --> 00:12:20,360 Speaker 2: they just settled a fifty million plus lawsuit because their 195 00:12:20,480 --> 00:12:24,320 Speaker 2: artificial intelligence wasn't working correctly and some people were being 196 00:12:24,640 --> 00:12:29,960 Speaker 2: either detained or arrested based on false positives on the 197 00:12:30,480 --> 00:12:34,360 Speaker 2: facial recognition So City of Aurora may be stepping into 198 00:12:34,360 --> 00:12:39,000 Speaker 2: something prematurely trying to clean up crime and Aurora, and 199 00:12:39,080 --> 00:12:41,240 Speaker 2: I think that's one of the examples of a downside 200 00:12:41,240 --> 00:12:45,160 Speaker 2: of artificial intelligence. It's just not quite ready for prime 201 00:12:45,280 --> 00:12:50,040 Speaker 2: time yet. When I went to New York, a couple 202 00:12:50,040 --> 00:12:52,520 Speaker 2: of what was saying, what's it been now, two weeks ago, 203 00:12:52,600 --> 00:12:57,559 Speaker 2: week and a half ago? It you still walk up 204 00:12:57,600 --> 00:13:03,760 Speaker 2: to TSA with pre check and you I'm trying to think, yeah, 205 00:13:03,800 --> 00:13:06,400 Speaker 2: I did. I showed them my Global Entry card. But 206 00:13:06,520 --> 00:13:11,000 Speaker 2: then they compare the picture that's on that card, which 207 00:13:11,080 --> 00:13:14,360 Speaker 2: is several years old. Of course I don't age at all, 208 00:13:14,480 --> 00:13:16,680 Speaker 2: so I'm actually looking younger than I was when the 209 00:13:16,679 --> 00:13:19,240 Speaker 2: picture was taken two years ago. As I stand in 210 00:13:19,240 --> 00:13:22,960 Speaker 2: front of a camera and that camera matches using artificial intelligence, 211 00:13:23,600 --> 00:13:26,160 Speaker 2: the picture that that takes with the picture that's on 212 00:13:26,200 --> 00:13:29,640 Speaker 2: the Global Entry card. I don't know how reliable that is. 213 00:13:30,200 --> 00:13:32,640 Speaker 2: I don't really care how reliable is because it's tsa 214 00:13:32,720 --> 00:13:37,000 Speaker 2: mis kubuki security anyway. But anyway, the point being, there 215 00:13:37,120 --> 00:13:40,080 Speaker 2: is good and there is bad about artificial intelligence. 216 00:13:41,360 --> 00:13:43,320 Speaker 3: But I think we ought to be developing it. 217 00:13:44,760 --> 00:13:47,160 Speaker 2: In terms of what we can do with it militarily, 218 00:13:47,240 --> 00:13:49,840 Speaker 2: what we can do with it in terms of national security, 219 00:13:50,120 --> 00:13:52,559 Speaker 2: well we can do it with it, in terms of healthcare, 220 00:13:53,000 --> 00:13:55,839 Speaker 2: any number of things. I think AI is something that 221 00:13:56,559 --> 00:14:00,640 Speaker 2: has more positive than good, but everything it always has 222 00:14:00,640 --> 00:14:01,760 Speaker 2: a bad side to it too. 223 00:14:02,840 --> 00:14:03,000 Speaker 3: Well. 224 00:14:03,040 --> 00:14:07,559 Speaker 2: In the past year alone, sixty four billion dollars worth 225 00:14:07,600 --> 00:14:12,040 Speaker 2: of data center projects have been blocked or delayed, and 226 00:14:12,200 --> 00:14:16,200 Speaker 2: of that sixty four billion dollars, eighteen billion dollars were 227 00:14:16,520 --> 00:14:22,200 Speaker 2: outright cancelations of data centers and another forty six billion 228 00:14:22,240 --> 00:14:27,680 Speaker 2: dollars is stalled in I get you call it political limbo. 229 00:14:30,240 --> 00:14:36,440 Speaker 2: Those numbers hide something, It hides a dangerous misunderstanding, and 230 00:14:36,480 --> 00:14:40,400 Speaker 2: it's all across the country. It's you know, there's opposite. 231 00:14:40,480 --> 00:14:43,320 Speaker 2: For example, right here in Aurora, there's opposition that to 232 00:14:43,360 --> 00:14:47,360 Speaker 2: that facial recognition program that may or may not be one. 233 00:14:47,400 --> 00:14:51,000 Speaker 2: I think it's a legitimate concern. They've adopted it anyway, 234 00:14:51,440 --> 00:14:53,320 Speaker 2: but whether it's really going to work or not well, 235 00:14:53,360 --> 00:14:55,800 Speaker 2: that remains to be seen. We'll find out if they 236 00:14:55,880 --> 00:14:59,120 Speaker 2: faulty or arrest somebody, and then taxpayers have to fay out, 237 00:14:59,280 --> 00:15:02,000 Speaker 2: you know, the bazillion dollars for a false arrest. 238 00:15:02,680 --> 00:15:04,880 Speaker 3: But everywhere from Aurora. 239 00:15:04,360 --> 00:15:10,320 Speaker 2: To Indiana to Wisconsin, all over the country, local opposition 240 00:15:10,480 --> 00:15:16,560 Speaker 2: movements have turned hyperscale data centers into these symbols of 241 00:15:16,720 --> 00:15:25,320 Speaker 2: corporate overreach and environmental harm. But in reality, these projects 242 00:15:25,400 --> 00:15:31,680 Speaker 2: are critical infrastructure for our economic future and our national security. 243 00:15:32,200 --> 00:15:36,120 Speaker 2: So as I was diving into the cancelation, it became 244 00:15:36,240 --> 00:15:39,800 Speaker 2: obvious that the opposition is built on fear. It's not 245 00:15:39,920 --> 00:15:44,080 Speaker 2: built on fact. And if this fear goes on unchecked 246 00:15:44,360 --> 00:15:47,200 Speaker 2: and nobody really analyzes it closely, is going to cost 247 00:15:47,320 --> 00:15:51,960 Speaker 2: us jobs, investment, and I think, most importantly, our global 248 00:15:52,040 --> 00:15:59,920 Speaker 2: leadership and artificial intelligence. Astonishingly, opponents are claiming that these 249 00:16:00,080 --> 00:16:03,520 Speaker 2: data centers are not going to create jobs. I think 250 00:16:03,520 --> 00:16:09,120 Speaker 2: they're absolutely wrong. Take the Port Washington project in Wisconsin. 251 00:16:09,560 --> 00:16:14,520 Speaker 2: It's an eight billion dollar project over its nine year construction. 252 00:16:15,200 --> 00:16:20,520 Speaker 2: It'll take nine years to construct this. Everything from starting 253 00:16:20,520 --> 00:16:23,520 Speaker 2: with you know, drawing up the plans, getting the permits, 254 00:16:23,840 --> 00:16:27,800 Speaker 2: preparing the ground doing the construction, and finally, you know, 255 00:16:28,240 --> 00:16:31,800 Speaker 2: like like a car, sticking the key of and literally 256 00:16:31,880 --> 00:16:37,000 Speaker 2: turning it on will take nine years. During that time, 257 00:16:37,440 --> 00:16:42,040 Speaker 2: it is projected to employ more than ten thousand workers, 258 00:16:43,000 --> 00:16:47,360 Speaker 2: and then once it becomes operational, it will directly employ 259 00:16:47,960 --> 00:16:53,160 Speaker 2: five hundred highly paid engineers. I know engineers are way overpaid, 260 00:16:53,280 --> 00:16:56,840 Speaker 2: but they're going to get paid very, very well. But 261 00:16:57,440 --> 00:17:02,680 Speaker 2: that's not where it stops. Five hundred highly paid engineers 262 00:17:02,720 --> 00:17:07,639 Speaker 2: in one data center in Wisconsin translates to another five 263 00:17:07,880 --> 00:17:13,520 Speaker 2: thousand ancillary jobs in the local economy. So for every 264 00:17:13,640 --> 00:17:18,560 Speaker 2: permanent data center job, roughly ten more are created in 265 00:17:18,680 --> 00:17:23,400 Speaker 2: surrounding businesses. You have electricians, plumbers, truck drivers, restaurant owners, 266 00:17:23,520 --> 00:17:26,640 Speaker 2: the shopkeepers, all of the retail everything that goes on 267 00:17:26,960 --> 00:17:32,560 Speaker 2: in a consumer driven economy. The construction phase alone could 268 00:17:32,640 --> 00:17:37,000 Speaker 2: sustain an entire community over the nine year construction project. 269 00:17:37,320 --> 00:17:42,760 Speaker 2: And then once it gets fully operational, that construction shifts 270 00:17:42,800 --> 00:17:48,200 Speaker 2: from construction to operational and operational, all those ancillary jobs 271 00:17:48,320 --> 00:17:50,280 Speaker 2: will stay in place because of the people that will 272 00:17:50,320 --> 00:17:56,560 Speaker 2: work in the data center. What's these or its irrational fears? 273 00:17:56,600 --> 00:17:57,040 Speaker 3: What it is? 274 00:18:00,320 --> 00:18:03,240 Speaker 4: Good morning, Michael and Dragon. Did you happen to see 275 00:18:03,280 --> 00:18:07,000 Speaker 4: The Atlantic is pushing a story about how wonderful our 276 00:18:07,040 --> 00:18:12,000 Speaker 4: governor is since he supports raw milk and vaccine choices, 277 00:18:13,240 --> 00:18:17,040 Speaker 4: saying no other governor supports r f K junior like 278 00:18:17,080 --> 00:18:17,520 Speaker 4: he does. 279 00:18:19,560 --> 00:18:19,720 Speaker 3: That. 280 00:18:19,800 --> 00:18:22,400 Speaker 4: It would just make me laugh if it didn't make 281 00:18:22,440 --> 00:18:23,160 Speaker 4: my blood boil. 282 00:18:23,960 --> 00:18:29,520 Speaker 2: Have a great warning, kiss ass. Literally they're trying to 283 00:18:29,560 --> 00:18:33,320 Speaker 2: get police elected president or something. I don't know what 284 00:18:33,359 --> 00:18:39,880 Speaker 2: they're doing. Seventy three rides, Michael, look into how much 285 00:18:39,920 --> 00:18:42,000 Speaker 2: electricity those plants need and how much it's going to 286 00:18:42,040 --> 00:18:46,200 Speaker 2: drive up the price for everybody else. Ah, it might 287 00:18:46,280 --> 00:18:49,399 Speaker 2: drive up price of electricity temporarily, but you know what 288 00:18:49,400 --> 00:18:53,639 Speaker 2: it's going to do. It's going to utterly destroy the 289 00:18:53,800 --> 00:18:58,320 Speaker 2: idea that we need to get rid of fossil fuels 290 00:18:59,000 --> 00:19:03,040 Speaker 2: and turn so to green renewables like wind and solar, 291 00:19:03,880 --> 00:19:07,160 Speaker 2: and we're going to see prices of electricity actually start 292 00:19:07,200 --> 00:19:10,080 Speaker 2: to drop. It's not going to happen immediately, but it 293 00:19:10,119 --> 00:19:13,080 Speaker 2: will overtime because we're going to get rid of all 294 00:19:13,160 --> 00:19:16,719 Speaker 2: this bull crap about oh all of our electricity. You know, 295 00:19:17,480 --> 00:19:21,919 Speaker 2: if we are building a data center in Colorado, do 296 00:19:22,000 --> 00:19:25,879 Speaker 2: you think that Excel has the baseline power needed to 297 00:19:25,960 --> 00:19:30,080 Speaker 2: do so based on their wind and solar projects. Absolutely 298 00:19:30,160 --> 00:19:35,359 Speaker 2: not they I'm not sure our grid could sustain it. Two, 299 00:19:35,440 --> 00:19:38,199 Speaker 2: they don't have the baseline power, so they're going to 300 00:19:38,280 --> 00:19:41,200 Speaker 2: have to either build new power plants, and those power 301 00:19:41,240 --> 00:19:43,479 Speaker 2: plants are going to have to be fueled by cold 302 00:19:43,560 --> 00:19:47,320 Speaker 2: natural gas oil whatever they can't or maybe nuclear. Maybe 303 00:19:47,320 --> 00:19:50,960 Speaker 2: we can actually develop some nuclear plants. Wouldn't that be fantastic. 304 00:19:52,600 --> 00:19:56,560 Speaker 2: So yeah, there may be a spike in electric prices 305 00:19:56,600 --> 00:19:58,800 Speaker 2: for a while in some of these areas, but over 306 00:19:58,880 --> 00:20:02,400 Speaker 2: time it's going to stabilize power supply, and I think 307 00:20:02,440 --> 00:20:07,560 Speaker 2: that's another benefit of the data centers. Go back to 308 00:20:07,600 --> 00:20:13,800 Speaker 2: the construction phase. The construction phase alone could probably sustain 309 00:20:14,560 --> 00:20:19,560 Speaker 2: like this one in Wisconsin Port, Washington. It could probably 310 00:20:19,640 --> 00:20:24,280 Speaker 2: sustain that community for quite a while. But then the 311 00:20:24,359 --> 00:20:28,720 Speaker 2: long term tax base expands. You have, you've got the 312 00:20:28,840 --> 00:20:31,880 Speaker 2: property taxes, you have high paying, stable. 313 00:20:31,480 --> 00:20:34,560 Speaker 3: Employment that strengthens the local economy. 314 00:20:35,160 --> 00:20:38,359 Speaker 2: So the narrative that the data center only provides a 315 00:20:38,400 --> 00:20:43,600 Speaker 2: handful of jobs completely ignores the economic multiplier effect that 316 00:20:43,760 --> 00:20:47,520 Speaker 2: ripples through every small town that's going to host one 317 00:20:47,560 --> 00:20:52,040 Speaker 2: of these. But the economic benefitic goes beyond the payroll. 318 00:20:53,240 --> 00:20:57,000 Speaker 2: Data centers contribute millions of dollars in property tax once 319 00:20:57,080 --> 00:20:59,960 Speaker 2: any abatement might expire, and they don't all get a 320 00:21:00,000 --> 00:21:04,440 Speaker 2: abatements even during the incentive periods. Though even if there 321 00:21:04,480 --> 00:21:09,360 Speaker 2: is an abatement period, they pay substantial local taxes. They 322 00:21:09,520 --> 00:21:13,760 Speaker 2: rarely strain public services like schools or hospitals. So compared 323 00:21:13,800 --> 00:21:18,560 Speaker 2: to residential or industrial alternatives, data centers are physical assets. 324 00:21:19,000 --> 00:21:23,760 Speaker 2: They're not physical liabilities. Data centers don't send kids to 325 00:21:23,800 --> 00:21:27,919 Speaker 2: public schools or cause traffic congestions, you know, once they 326 00:21:27,960 --> 00:21:33,720 Speaker 2: become operational. Now they do demand reliability, but they don't 327 00:21:33,720 --> 00:21:38,520 Speaker 2: demand social services. The tax revenues that they generate will 328 00:21:38,520 --> 00:21:44,440 Speaker 2: fund precisely the infrastructure improvements that are needed, roads, water systems, broadband, 329 00:21:44,920 --> 00:21:48,600 Speaker 2: everything that a community depends upon. So these people who 330 00:21:48,640 --> 00:21:54,159 Speaker 2: are out there opposing them on the basis of economic skepticism, 331 00:21:54,720 --> 00:21:59,119 Speaker 2: or I might add truly economic ignorance, is to misread 332 00:21:59,600 --> 00:22:05,040 Speaker 2: the eco ledger. There's a second false claim, and it 333 00:22:05,080 --> 00:22:10,159 Speaker 2: gets to your point about raising local electric prices. I 334 00:22:10,200 --> 00:22:13,199 Speaker 2: actually think the opposite would be true. In a long term. 335 00:22:14,280 --> 00:22:21,200 Speaker 2: Many hyper scale scalers like Meta, Google others, they're building 336 00:22:21,240 --> 00:22:28,440 Speaker 2: their own power plants from natural gas turbines small modular 337 00:22:28,560 --> 00:22:33,439 Speaker 2: nuclear reactors. Microsoft is restarting I thought I mentioned yesterday. 338 00:22:33,440 --> 00:22:37,080 Speaker 2: I thought it was Google. I actually thought it was Meta. 339 00:22:37,320 --> 00:22:40,840 Speaker 2: It's Microsoft. They're the ones that are restarting the three 340 00:22:40,880 --> 00:22:46,600 Speaker 2: Mile Island reactor to power its data center. Amazon is 341 00:22:46,680 --> 00:22:51,720 Speaker 2: contracting directly with the Susquehanna Nuclear Power Plant in Pennsylvania 342 00:22:51,960 --> 00:22:57,800 Speaker 2: to buy excess capacity that would otherwise go unused. In Texas, 343 00:22:58,200 --> 00:23:01,639 Speaker 2: new data centers are being built with being built with 344 00:23:01,880 --> 00:23:08,280 Speaker 2: on site gas fire generate generators that operate entirely behind 345 00:23:08,320 --> 00:23:11,959 Speaker 2: the meter, so they're not taking any power from the grid. 346 00:23:14,040 --> 00:23:21,080 Speaker 2: The company Deloitte estimates that the new nuclear capacity alone 347 00:23:21,680 --> 00:23:25,920 Speaker 2: could supply upwards of ten percent of US data center 348 00:23:26,040 --> 00:23:29,920 Speaker 2: power by twenty thirty five, just ten years from now. 349 00:23:30,960 --> 00:23:36,840 Speaker 2: Then you take hyperscalers like Amazon, Google, Microsoft, They've already 350 00:23:37,040 --> 00:23:42,439 Speaker 2: contracted for nearly fifty gigawatts of new clean energy, roughly 351 00:23:42,480 --> 00:23:45,960 Speaker 2: the equivalent to the electricity consumed by more than seventeen 352 00:23:46,000 --> 00:23:51,840 Speaker 2: million houses. So far from actually draining public resources, they're 353 00:23:52,080 --> 00:23:57,159 Speaker 2: underwriting the largest private sector build out of renewable and 354 00:23:57,200 --> 00:24:01,960 Speaker 2: reliable power through the use of natural gas, coal, and 355 00:24:02,080 --> 00:24:05,719 Speaker 2: nuclear exactly what we wanted to happen, and they're causing 356 00:24:05,760 --> 00:24:06,359 Speaker 2: it to happen. 357 00:24:07,760 --> 00:24:09,280 Speaker 3: So there's just this. 358 00:24:11,240 --> 00:24:13,240 Speaker 2: When you really dig into it, you find out that 359 00:24:13,280 --> 00:24:18,760 Speaker 2: there's this myth that local ratepayers subsidized corporate electric electricity 360 00:24:18,960 --> 00:24:25,920 Speaker 2: use is. That's another distortion. Utilities charge large customers the 361 00:24:26,040 --> 00:24:31,679 Speaker 2: full cost of their connection, including the infrastructure built to 362 00:24:31,760 --> 00:24:36,000 Speaker 2: serve them. So if there were a data center, for example, 363 00:24:36,160 --> 00:24:39,639 Speaker 2: going up, I don't know where the BUCkies is going 364 00:24:39,680 --> 00:24:42,960 Speaker 2: to go instead of a BUCkies because you know that's 365 00:24:43,000 --> 00:24:46,440 Speaker 2: too much traffic, too much congestion, everything else. Put a 366 00:24:46,520 --> 00:24:49,520 Speaker 2: data center in there. Now, that'll piss people off. Put 367 00:24:49,560 --> 00:24:54,120 Speaker 2: a data center in there, you know why, because all 368 00:24:54,119 --> 00:25:00,200 Speaker 2: of the infrastructure required to serve that data center, bilding, 369 00:25:00,280 --> 00:25:03,800 Speaker 2: a road to access it, for the workers, extending the 370 00:25:03,880 --> 00:25:07,879 Speaker 2: grid to provide the power, excel pace for all of that. 371 00:25:08,359 --> 00:25:11,360 Speaker 2: And they charge that off too. They charge it too. 372 00:25:11,560 --> 00:25:15,080 Speaker 2: Since they charge it off, they charge it too the 373 00:25:15,200 --> 00:25:21,040 Speaker 2: data center to the operator. Now, if that's not happening, 374 00:25:22,080 --> 00:25:25,159 Speaker 2: that problem then is in state regulation. It's not the 375 00:25:25,240 --> 00:25:30,320 Speaker 2: data center's fault, that's the state regulation problem. Properly structured 376 00:25:30,560 --> 00:25:37,239 Speaker 2: structured these facilities help utilities spread fixed costs across a 377 00:25:37,600 --> 00:25:44,680 Speaker 2: broader base, in turn theoretically lowering rates for everybody else. Now, 378 00:25:44,760 --> 00:25:48,960 Speaker 2: in regions where the projects have been canceled, guess what's happened. 379 00:25:49,720 --> 00:25:53,280 Speaker 2: Electric prices have driven faster than in those where the 380 00:25:53,359 --> 00:25:58,080 Speaker 2: data center construction continues. California, it offers a cautionary example. 381 00:25:59,000 --> 00:26:03,280 Speaker 2: A strict local moratorium on new data centers coincided with 382 00:26:03,440 --> 00:26:08,680 Speaker 2: skyrocketing rates and it strained the grids. In contrast, Texas, 383 00:26:08,720 --> 00:26:13,639 Speaker 2: despite surging data center growth, has maintained relatively stable rates 384 00:26:13,960 --> 00:26:15,720 Speaker 2: because of expanded capacity. 385 00:26:16,880 --> 00:26:18,320 Speaker 3: Simple lesson in that. 386 00:26:19,040 --> 00:26:28,400 Speaker 2: Blocking growth increases scarcity, and scarcity increases prices, and then 387 00:26:28,440 --> 00:26:32,879 Speaker 2: communities irrationally fear that data centers are going to deplete 388 00:26:32,920 --> 00:26:34,000 Speaker 2: local water supplies. 389 00:26:34,800 --> 00:26:36,760 Speaker 3: Again, I think it's a misunderstanding. 390 00:26:37,720 --> 00:26:45,160 Speaker 2: Modern hyperscale facilities can run entirely air cooled, consuming zero groundwater. Google, 391 00:26:45,320 --> 00:26:50,320 Speaker 2: Amazon Meta all deploy air cooled systems where water scarcity 392 00:26:50,520 --> 00:26:53,120 Speaker 2: is a concern in that area. Now, in a water 393 00:26:53,240 --> 00:26:57,560 Speaker 2: rich region, they can use closed loop cooling systems that 394 00:26:57,640 --> 00:27:03,439 Speaker 2: recycle the water continuously. Microsoft Equinix they've all pledged to 395 00:27:03,440 --> 00:27:06,440 Speaker 2: be water positive by twenty thirty, meaning that they will 396 00:27:06,480 --> 00:27:11,600 Speaker 2: replenish more water than they consume. So the days of 397 00:27:11,680 --> 00:27:19,000 Speaker 2: these massive evaporative cooling towers, that's disappearing, if not largely 398 00:27:19,040 --> 00:27:24,199 Speaker 2: gone already. Even in large projects, water drawl can be 399 00:27:24,280 --> 00:27:29,320 Speaker 2: engineered out entirely with negligible impact on performance. Air cooling 400 00:27:29,400 --> 00:27:34,040 Speaker 2: requires more electricity but eliminates the local water use. That's 401 00:27:34,080 --> 00:27:38,560 Speaker 2: a trade off that hyperscalers have been willingly accepting in 402 00:27:38,840 --> 00:27:44,240 Speaker 2: order to protect community resources. I'm all for these, as 403 00:27:44,280 --> 00:27:49,560 Speaker 2: you can tell, but these facts rarely make it into 404 00:27:49,960 --> 00:27:54,439 Speaker 2: the town hall debates where quite frankly, I think that 405 00:27:54,560 --> 00:27:58,920 Speaker 2: people who are just scared of innovation, scared of a 406 00:27:58,960 --> 00:28:03,399 Speaker 2: big giant project coming in, particularly because it involves Meta 407 00:28:03,440 --> 00:28:10,280 Speaker 2: and Google, are instantaneously and reflectively, reflexively just naturally opposed 408 00:28:10,280 --> 00:28:10,560 Speaker 2: to it. 409 00:28:11,400 --> 00:28:13,320 Speaker 3: I think it's wrong, Michael. 410 00:28:13,359 --> 00:28:15,879 Speaker 5: It reminds me last night I went to a meeting 411 00:28:16,040 --> 00:28:19,919 Speaker 5: and I had to explain the idea of creative destruction 412 00:28:20,080 --> 00:28:24,640 Speaker 5: to a person because they were very upset that technology 413 00:28:24,760 --> 00:28:28,080 Speaker 5: was going to take jobs. And I had to explain 414 00:28:28,160 --> 00:28:30,840 Speaker 5: how well we had the buggy and now we have 415 00:28:30,920 --> 00:28:34,679 Speaker 5: the car. And it was just really sad to me 416 00:28:34,760 --> 00:28:37,280 Speaker 5: that I had to explain that. So I think maybe 417 00:28:37,320 --> 00:28:39,640 Speaker 5: you should take a moment and talk about creative destruction. 418 00:28:41,000 --> 00:28:43,040 Speaker 2: Yeah, I'll do that, but let me do that, and 419 00:28:43,320 --> 00:28:45,000 Speaker 2: I may have to carry this over the next hour 420 00:28:45,080 --> 00:28:48,040 Speaker 2: because of a couple of text messages. I love this 421 00:28:48,120 --> 00:28:51,040 Speaker 2: one from three zero five six Mike. I love how 422 00:28:51,080 --> 00:28:55,320 Speaker 2: you constantly attacked liberals for Lyne and then accept the 423 00:28:55,400 --> 00:29:02,400 Speaker 2: huge liberal corporation pledges to push your narrative. Really, that's 424 00:29:02,480 --> 00:29:07,360 Speaker 2: interesting because am I just accepting this. There's actually precedent 425 00:29:07,400 --> 00:29:12,640 Speaker 2: for what I'm arguing. Google, Oh, big evil Google actually 426 00:29:12,680 --> 00:29:16,800 Speaker 2: sat down and worked with Nevada's in the energy and 427 00:29:16,920 --> 00:29:22,640 Speaker 2: imposed on themselves and negotiated a special tariff that funded 428 00:29:22,680 --> 00:29:29,080 Speaker 2: renewable generation without raising rates for anybody else. Meta Facebook 429 00:29:29,160 --> 00:29:32,720 Speaker 2: did exactly the same thing in Oregon. In Oregon, they 430 00:29:32,840 --> 00:29:38,240 Speaker 2: contracted for geothermal power under a structure that shielded customers 431 00:29:38,520 --> 00:29:44,280 Speaker 2: from those additional costs. Amazon's nuclear deal in Pennsylvania will 432 00:29:44,360 --> 00:29:48,440 Speaker 2: keep an existing power plant alive for at least another generation, 433 00:29:49,560 --> 00:29:53,479 Speaker 2: and that will sustain local jobs and stabilize rates. So 434 00:29:53,640 --> 00:29:56,400 Speaker 2: these arrangements, these so called long Hi, I'm just I'm 435 00:29:56,400 --> 00:30:00,160 Speaker 2: a corporate shill here, No, these are actual real pledge. 436 00:30:00,200 --> 00:30:03,880 Speaker 3: Is that they've actually engaged in and agreed to. 437 00:30:04,920 --> 00:30:07,720 Speaker 2: So rather than just showing up at your local city 438 00:30:07,760 --> 00:30:10,800 Speaker 2: council meeting or your state legislature and bitching and moaning 439 00:30:10,840 --> 00:30:13,920 Speaker 2: and opposing it, maybe you ought to say, hey, listen, 440 00:30:14,160 --> 00:30:17,080 Speaker 2: we don't want our rates to rise, so we want 441 00:30:17,160 --> 00:30:18,480 Speaker 2: you to bear the cost of this. 442 00:30:18,760 --> 00:30:22,640 Speaker 3: These companies are willing to do this, and they're willing to. 443 00:30:22,600 --> 00:30:25,800 Speaker 2: Do it because they know how essential that these data 444 00:30:25,840 --> 00:30:30,360 Speaker 2: centers are, not just for their business. But it gets 445 00:30:30,400 --> 00:30:33,320 Speaker 2: me into this second phase of what I wanted to 446 00:30:33,360 --> 00:30:36,320 Speaker 2: talk about, which is how important this is to us 447 00:30:36,680 --> 00:30:42,360 Speaker 2: in terms of our national security. But before I get 448 00:30:42,360 --> 00:30:46,640 Speaker 2: to the national security stuff, I think that somewhat to 449 00:30:47,320 --> 00:30:51,880 Speaker 2: your point, people need to be clearly educated about what 450 00:30:51,960 --> 00:30:56,640 Speaker 2: drives energy prices and how modern data centers operate. Utilities 451 00:30:56,640 --> 00:31:01,400 Speaker 2: and Hyperscalers ought to engage early, explain their plans, offer 452 00:31:01,480 --> 00:31:04,560 Speaker 2: transparency about the resources they're going to use. But they 453 00:31:04,560 --> 00:31:09,640 Speaker 2: could actually go further. They ought to voluntarily insulate local 454 00:31:09,720 --> 00:31:13,920 Speaker 2: rate payers from any potential impact by them paying the 455 00:31:14,000 --> 00:31:17,520 Speaker 2: higher electric rates or themselves funding if they want to 456 00:31:17,520 --> 00:31:21,400 Speaker 2: fund residential solar battery systems nearby, or they want to 457 00:31:21,400 --> 00:31:24,360 Speaker 2: build small nuclear power plants, then they ought to incur 458 00:31:24,520 --> 00:31:29,640 Speaker 2: They ought to incur those costs themselves. That approach would 459 00:31:29,720 --> 00:31:37,400 Speaker 2: turn the opposition into partnership. Imagine a community. Now I 460 00:31:37,440 --> 00:31:40,520 Speaker 2: don't like solar, but imagine a community where every home 461 00:31:40,880 --> 00:31:45,280 Speaker 2: got a subsidized rooftop solar panel system because a data 462 00:31:45,320 --> 00:31:49,440 Speaker 2: center next door paid for it. That would transform the 463 00:31:49,520 --> 00:31:55,000 Speaker 2: resentment into pride. Got I got this solar panel and 464 00:31:55,320 --> 00:31:58,440 Speaker 2: because they want me to be able to get electricity, 465 00:31:58,440 --> 00:32:01,600 Speaker 2: because they're over here using up the natural gas or 466 00:32:01,640 --> 00:32:04,080 Speaker 2: the coal or the nuclear. I mean, there are ways 467 00:32:04,120 --> 00:32:09,880 Speaker 2: to do this, but the just the absolute blinders on 468 00:32:10,360 --> 00:32:15,160 Speaker 2: in terms of opposition is ignoring how critically needed these 469 00:32:15,600 --> 00:32:20,080 Speaker 2: data centers are for the new economy that we're moving into. 470 00:32:21,640 --> 00:32:26,800 Speaker 2: And it is creative destruction, absolutely it is, But just 471 00:32:26,880 --> 00:32:31,880 Speaker 2: because it is doesn't mean you should oppose it. And 472 00:32:32,080 --> 00:32:37,880 Speaker 2: our national security will be compromised if we don't allow 473 00:32:37,920 --> 00:32:41,960 Speaker 2: these to move forward. The economic loss that we would 474 00:32:42,000 --> 00:32:43,960 Speaker 2: suffer if they don't go forward is just part of 475 00:32:43,960 --> 00:32:48,760 Speaker 2: the story. There's also a national security dimension, and I 476 00:32:48,800 --> 00:32:52,240 Speaker 2: think that may be worth delving into for at least 477 00:32:52,240 --> 00:32:55,880 Speaker 2: a few minutes after the top of the hour, But 478 00:32:56,200 --> 00:33:01,680 Speaker 2: come on, corporate shill. You know what the problem is. 479 00:33:02,200 --> 00:33:06,600 Speaker 2: Too many politicians just capitulate if you want, if you 480 00:33:06,680 --> 00:33:10,080 Speaker 2: don't want higher rates, there's a way to say, oh, 481 00:33:10,120 --> 00:33:12,400 Speaker 2: you want to build a data center here. I hear 482 00:33:12,600 --> 00:33:14,840 Speaker 2: in Wyoming. Oh, our rates have gone up in Wyoming. 483 00:33:15,360 --> 00:33:18,680 Speaker 2: Maybe that's because your local politicians just capitulated.