1 00:00:00,120 --> 00:00:03,800 Speaker 1: There's no question that the shutdown affected everything everywhere. There's 2 00:00:03,840 --> 00:00:07,320 Speaker 1: no segment of society that didn't have some level of 3 00:00:07,360 --> 00:00:12,160 Speaker 1: effect of these shutdowns, which are now over. So we 4 00:00:12,280 --> 00:00:15,280 Speaker 1: got that going for us. Tony Katz Tony Kats Today, 5 00:00:15,520 --> 00:00:18,079 Speaker 1: great to be with. You find everything at tonycats dot com. 6 00:00:19,120 --> 00:00:22,480 Speaker 1: I admit what I said is still true. You didn't 7 00:00:22,520 --> 00:00:25,520 Speaker 1: feel the effects of the shutdown in your everyday life. 8 00:00:26,320 --> 00:00:29,280 Speaker 1: That isn't to say that there weren't things that were affected. 9 00:00:30,600 --> 00:00:33,400 Speaker 1: We saw how air traffic controllers were affected. We saw 10 00:00:33,440 --> 00:00:36,280 Speaker 1: how the military was affected. We saw how people getting 11 00:00:36,280 --> 00:00:40,239 Speaker 1: snap benefits were affected. And I still agree we need 12 00:00:40,240 --> 00:00:42,960 Speaker 1: to do a tremendous amount to reduce the number of 13 00:00:42,960 --> 00:00:45,240 Speaker 1: people getting these benefits because there's a lot of people 14 00:00:45,400 --> 00:00:46,639 Speaker 1: who do not deserve them. 15 00:00:46,680 --> 00:00:49,560 Speaker 2: We shouldn't be helping single able bodied men. 16 00:00:50,120 --> 00:00:52,559 Speaker 1: They have to go get jobs, they have to go produce, 17 00:00:52,640 --> 00:00:55,040 Speaker 1: they have to go create. We are not going to 18 00:00:55,120 --> 00:00:58,040 Speaker 1: allow this taker society to take hold. 19 00:00:58,080 --> 00:01:00,200 Speaker 2: It's nonsense, it's madnesses. 20 00:01:00,800 --> 00:01:02,639 Speaker 1: But there were other things that took place, like if 21 00:01:02,640 --> 00:01:05,720 Speaker 1: you were taking some kind of family vacation, you didn't 22 00:01:05,720 --> 00:01:08,280 Speaker 1: get to go to a national park. If you were 23 00:01:09,480 --> 00:01:12,960 Speaker 1: trying to see DC and monuments. Sorry, that wasn't going 24 00:01:13,040 --> 00:01:16,520 Speaker 1: to happen. And so while you can argue, man, that's 25 00:01:16,560 --> 00:01:18,560 Speaker 1: really first world problem. 26 00:01:18,560 --> 00:01:20,720 Speaker 2: Isn't that the exact kind of problems we want to have? 27 00:01:21,440 --> 00:01:23,360 Speaker 1: I mean, after all, what's the value being a first 28 00:01:23,360 --> 00:01:26,080 Speaker 1: world nation if you can't have first world problems? I 29 00:01:26,200 --> 00:01:30,760 Speaker 1: say that not to be flipped, but rather to engage 30 00:01:30,760 --> 00:01:34,080 Speaker 1: a little with a little more focus. Well, these things 31 00:01:34,160 --> 00:01:37,240 Speaker 1: did affect parts of the country, and while it did, 32 00:01:37,800 --> 00:01:41,320 Speaker 1: there's also things going on within the country that need 33 00:01:41,360 --> 00:01:43,160 Speaker 1: to get our attention. And there's been a lot of 34 00:01:43,200 --> 00:01:46,480 Speaker 1: talk about data centers and the idea of whether or 35 00:01:46,520 --> 00:01:49,200 Speaker 1: not you want your city, your state, your municipality to 36 00:01:49,320 --> 00:01:51,040 Speaker 1: have these data centers and they take up all this 37 00:01:51,160 --> 00:01:52,560 Speaker 1: energy and how does one deal with it? 38 00:01:52,760 --> 00:01:54,120 Speaker 2: What is the future? 39 00:01:54,160 --> 00:01:58,080 Speaker 1: I had the chance to sit and talk with Doug Bergham, 40 00:01:58,120 --> 00:02:01,880 Speaker 1: the Secretary of the Interior, the former governor of North Dakota, 41 00:02:01,920 --> 00:02:03,720 Speaker 1: who has a very very. 42 00:02:03,560 --> 00:02:05,840 Speaker 2: Long history in tech. 43 00:02:06,320 --> 00:02:08,720 Speaker 1: I do have questions on the tech side and how 44 00:02:08,760 --> 00:02:10,080 Speaker 1: Interior plays a part in this. 45 00:02:10,200 --> 00:02:13,160 Speaker 2: But from your department, people wouldn't think. 46 00:02:13,040 --> 00:02:15,760 Speaker 1: The Secretary of the Interior dealing with land management across 47 00:02:15,760 --> 00:02:18,440 Speaker 1: the United states impacted by the shutdown. 48 00:02:18,800 --> 00:02:21,079 Speaker 2: How did the shutdown affect your world? 49 00:02:22,280 --> 00:02:24,120 Speaker 3: Well, Tony, great to be with you, and thanks for 50 00:02:24,280 --> 00:02:28,680 Speaker 3: drawing light on this. But this hurts every American and 51 00:02:28,960 --> 00:02:33,200 Speaker 3: across the interior. It's an incredible department. We've got all 52 00:02:33,240 --> 00:02:38,000 Speaker 3: the national parks, all the tribal relationships across the country, 53 00:02:38,040 --> 00:02:40,839 Speaker 3: four hundred and fifty four tribal nations. We deal with 54 00:02:41,400 --> 00:02:45,800 Speaker 3: over four hundred National park sites and historic sites, US 55 00:02:45,800 --> 00:02:48,720 Speaker 3: fish and wildlife, all of these things. When you shut 56 00:02:48,760 --> 00:02:51,640 Speaker 3: down the National park system, we fought to keep them open. 57 00:02:51,760 --> 00:02:53,919 Speaker 3: But when we had them open, there was nobody there 58 00:02:53,919 --> 00:02:56,519 Speaker 3: in the boot collecting revenue. We were losing revenue every day, 59 00:02:56,800 --> 00:02:59,760 Speaker 3: and you knew who was really hurting the entrance communities 60 00:02:59,800 --> 00:03:03,000 Speaker 3: to the national parks, those small businesses, particularly during the 61 00:03:03,080 --> 00:03:05,560 Speaker 3: you know, like fall leaf season, Great Smoky Mountains, some 62 00:03:05,600 --> 00:03:08,280 Speaker 3: of our most visited I think all of these losing 63 00:03:08,600 --> 00:03:10,920 Speaker 3: tens of millions of dollars of revenue a day for 64 00:03:11,000 --> 00:03:15,600 Speaker 3: small businesses for what I mean, for what? Because you 65 00:03:15,639 --> 00:03:20,160 Speaker 3: know there was nothing accomplished by the Democrats, only hurting Americans. 66 00:03:20,840 --> 00:03:23,680 Speaker 1: You and in your tenure as governor of North Dakota, 67 00:03:23,680 --> 00:03:26,520 Speaker 1: it's a very interesting story because I don't want to 68 00:03:26,520 --> 00:03:28,119 Speaker 1: call you the accidental. 69 00:03:27,560 --> 00:03:29,519 Speaker 2: Governor, but I think when you ran as being. 70 00:03:29,360 --> 00:03:33,560 Speaker 1: An executive with great Plain Software selling that to Microsoft 71 00:03:33,600 --> 00:03:37,160 Speaker 1: for one point one billion dollars, people didn't necessarily take 72 00:03:37,240 --> 00:03:39,960 Speaker 1: that too seriously. I think is an acceptable way to 73 00:03:39,960 --> 00:03:41,520 Speaker 1: say it. And then you want a second term by 74 00:03:41,520 --> 00:03:45,560 Speaker 1: an overwhelming margin. You've engaged the idea of beating the 75 00:03:45,560 --> 00:03:50,080 Speaker 1: odds and then working with people towards towards common goals. 76 00:03:50,960 --> 00:03:55,000 Speaker 1: Was there no conversation about how a common goal could 77 00:03:55,000 --> 00:03:57,920 Speaker 1: have been achieved except to wait out forty two days 78 00:03:57,920 --> 00:03:59,000 Speaker 1: of democrat and sanity. 79 00:04:00,400 --> 00:04:04,360 Speaker 3: Well, I, first of all had accidental governor is totally appropriate. 80 00:04:04,400 --> 00:04:07,680 Speaker 3: And when I was when I decided what I decided 81 00:04:07,720 --> 00:04:09,680 Speaker 3: to run and I told the Captain I was thinking 82 00:04:09,680 --> 00:04:12,680 Speaker 3: about running. She said, oh, my goodness, really, why we 83 00:04:12,720 --> 00:04:15,120 Speaker 3: have a great life and and why would you want 84 00:04:15,160 --> 00:04:18,800 Speaker 3: to get into this, you know, horrible world of you know, politics. 85 00:04:18,800 --> 00:04:21,320 Speaker 3: And I said, well, don't worry. I don't have a chance. 86 00:04:21,320 --> 00:04:23,960 Speaker 3: You don't have to worry about being first lady. So 87 00:04:24,080 --> 00:04:26,400 Speaker 3: that was my sales pitch. But she was an amazing 88 00:04:26,440 --> 00:04:31,039 Speaker 3: first lady as well. But we but yeah, there wasn't really, 89 00:04:31,240 --> 00:04:33,280 Speaker 3: I don't think in DC and Congress, you know, I'm 90 00:04:33,320 --> 00:04:36,760 Speaker 3: busy trying to keep the world's largest balance sheet going. 91 00:04:36,800 --> 00:04:39,120 Speaker 3: I mean, in tears, got five hundred million acres of 92 00:04:39,160 --> 00:04:43,440 Speaker 3: service land to manage, and Timberly's ENGRAZINGLYSS oil and gaslet 93 00:04:43,560 --> 00:04:47,720 Speaker 3: we're revenue generating agency and trying to keep that revenue up. 94 00:04:47,800 --> 00:04:50,640 Speaker 3: Under the Biden administration, the revenue went down every year. 95 00:04:50,960 --> 00:04:53,360 Speaker 2: And these assets, the the. 96 00:04:53,720 --> 00:04:58,040 Speaker 3: Underground assets, seven hundred million acres of where we've got minerals, 97 00:04:58,080 --> 00:05:02,040 Speaker 3: critical minerals, oil and gas, the timber and grazing on 98 00:05:02,080 --> 00:05:04,920 Speaker 3: the surface, and then offshore you know, rich with all 99 00:05:05,040 --> 00:05:09,400 Speaker 3: kinds of resources two point five billion acres stretching everywhere 100 00:05:09,440 --> 00:05:13,320 Speaker 3: from Pacific Islands to the Caribbean, because all of those 101 00:05:13,440 --> 00:05:16,800 Speaker 3: territories are part of the Department of the misnamed Department 102 00:05:16,800 --> 00:05:20,000 Speaker 3: of Interior. And of course everything up in Alaska which 103 00:05:20,120 --> 00:05:23,520 Speaker 3: was shut down into the Biden administration, that's got a resource. 104 00:05:23,800 --> 00:05:26,479 Speaker 3: But when we tell Americans here about, oh, we've got 105 00:05:26,480 --> 00:05:29,280 Speaker 3: this debt, we've got three six billion dollars of debt, 106 00:05:29,360 --> 00:05:31,440 Speaker 3: I'm a maginable number. Well, I want to let Americans 107 00:05:31,440 --> 00:05:33,760 Speaker 3: know it. You also if you own part of that debt. 108 00:05:33,839 --> 00:05:36,440 Speaker 3: You own part of these assets. These are public lands, 109 00:05:36,800 --> 00:05:40,760 Speaker 3: and in your assets, ownership in these fatheric lands could 110 00:05:40,760 --> 00:05:43,600 Speaker 3: be five times ten times greater than the debt because 111 00:05:43,839 --> 00:05:47,559 Speaker 3: we have hundreds of brillions of dollars of assets held 112 00:05:48,120 --> 00:05:51,840 Speaker 3: in these lands, minerals, timber, all these things that we 113 00:05:51,880 --> 00:05:54,039 Speaker 3: can generate revenue from. But we've got to get rever 114 00:05:54,160 --> 00:05:57,320 Speaker 3: When Theodore Roosevelt put these lands away, they weren't all 115 00:05:57,360 --> 00:06:01,960 Speaker 3: wilderness areas. They weren't all national and sacred areas. These 116 00:06:02,000 --> 00:06:04,200 Speaker 3: were for the benefit and the use of the American people. 117 00:06:04,600 --> 00:06:07,080 Speaker 3: That's what we're about in the shutdown. Hurt our ability, 118 00:06:07,160 --> 00:06:10,120 Speaker 3: hurt our revenue, and hurt the communities and the workers 119 00:06:10,160 --> 00:06:14,760 Speaker 3: and timber raising ranchers, oil and gas affects all of them. 120 00:06:14,800 --> 00:06:18,080 Speaker 1: Talking to the Secretary of the Interior, Doug Bergham, and 121 00:06:18,880 --> 00:06:20,880 Speaker 1: I do understand what you're saying there. 122 00:06:21,040 --> 00:06:21,840 Speaker 2: I agree, But. 123 00:06:22,200 --> 00:06:25,960 Speaker 1: Just before moving on, you talked about the amount of 124 00:06:26,040 --> 00:06:28,560 Speaker 1: land that is covered by the Secretary of the Interior, 125 00:06:28,600 --> 00:06:31,919 Speaker 1: by your department, by the Bureau of Land Management, especially 126 00:06:32,000 --> 00:06:33,480 Speaker 1: on the west of the United States. 127 00:06:33,560 --> 00:06:35,440 Speaker 2: Is it too much? Shall we be giving this land 128 00:06:35,480 --> 00:06:36,400 Speaker 2: back to the states? 129 00:06:38,120 --> 00:06:42,080 Speaker 3: There are specific instances where the answer that question is yes. 130 00:06:42,160 --> 00:06:44,400 Speaker 3: There's lands that were meant to go to Alaska when 131 00:06:44,440 --> 00:06:47,200 Speaker 3: it became a state in the late nineteen fifties that 132 00:06:47,279 --> 00:06:50,040 Speaker 3: still haven't been transferred. We're trying to get those back 133 00:06:50,040 --> 00:06:52,680 Speaker 3: out of the states. The states and many times can 134 00:06:52,760 --> 00:06:54,919 Speaker 3: manage these better they're closer to them. I know this 135 00:06:55,040 --> 00:06:58,839 Speaker 3: as a former governor. But there are other lands that 136 00:06:58,880 --> 00:07:01,520 Speaker 3: We've got a small amount of lands that are in 137 00:07:01,600 --> 00:07:05,799 Speaker 3: southern Nevada. There is a Southern Nevada Lands Act. Harry Reid, Democrat, 138 00:07:05,880 --> 00:07:08,440 Speaker 3: leader of the Senate twenty five years ago, came up 139 00:07:08,440 --> 00:07:11,200 Speaker 3: with a bill because you've got cities like Las Vegas 140 00:07:11,200 --> 00:07:14,680 Speaker 3: that are hemmed in by Bureau of Land Management. Land 141 00:07:15,240 --> 00:07:18,520 Speaker 3: that's not good for recreation, not good for grazing, but wow, 142 00:07:18,520 --> 00:07:21,880 Speaker 3: it's a valuable land. And when we sell one hundred 143 00:07:21,880 --> 00:07:24,520 Speaker 3: acres of land near Las Vegas, we the federal government, 144 00:07:24,560 --> 00:07:26,640 Speaker 3: you the people, and we get a big check. Then 145 00:07:26,680 --> 00:07:29,640 Speaker 3: we can turn that check and turn that into developing 146 00:07:29,720 --> 00:07:33,560 Speaker 3: real recreation land, real wilderness, real visitor centers. And that's 147 00:07:33,600 --> 00:07:36,080 Speaker 3: what we're doing right now. So there are some cases 148 00:07:36,160 --> 00:07:39,040 Speaker 3: where in the precise thing, and if you look out 149 00:07:39,080 --> 00:07:44,320 Speaker 3: west around fast growing cities Boise, Salt Lake, Las Vegas, Reno, 150 00:07:44,440 --> 00:07:47,920 Speaker 3: those are places. I mean, Nevada is eighty percent federal owned. 151 00:07:48,240 --> 00:07:51,400 Speaker 3: I mean, that's just crazy. Indiana is a lucky state. 152 00:07:51,720 --> 00:07:54,880 Speaker 3: It's got very little federal ownership and doesn't have to 153 00:07:54,920 --> 00:07:58,240 Speaker 3: deal with this with having a bunch of federal bureaucracy 154 00:07:58,640 --> 00:08:02,200 Speaker 3: screwing up the you know, basically being the landlord for Indiana, 155 00:08:02,240 --> 00:08:05,200 Speaker 3: the governor of Indiana can manage the land with the 156 00:08:05,200 --> 00:08:07,520 Speaker 3: people of Indiana who care for it, live there, live 157 00:08:07,560 --> 00:08:09,560 Speaker 3: there for generations. I mean, nobody's going to care for 158 00:08:09,600 --> 00:08:11,680 Speaker 3: Indiana more than the people that are living there. 159 00:08:11,920 --> 00:08:13,240 Speaker 2: More than Hoosiers, that's true. 160 00:08:13,320 --> 00:08:15,720 Speaker 1: Talking to the Secretary of the Interior, Doug Bergham, you 161 00:08:15,760 --> 00:08:20,240 Speaker 1: bring up my state, Indiana, and being somebody who has 162 00:08:20,400 --> 00:08:25,320 Speaker 1: this long career in tech and tech growth, you also 163 00:08:25,360 --> 00:08:28,680 Speaker 1: play in the world of energy. In my state, data 164 00:08:28,680 --> 00:08:31,200 Speaker 1: centers have become a front and center subject. 165 00:08:31,240 --> 00:08:33,040 Speaker 2: Do we want to be the state of data centers? 166 00:08:33,200 --> 00:08:36,360 Speaker 1: They take up the land, they're not attractive, there's not 167 00:08:36,520 --> 00:08:39,720 Speaker 1: really a workforce. Is it actually throwing off a tax benefit? 168 00:08:39,960 --> 00:08:42,640 Speaker 1: And what of the energy usage, the power and the 169 00:08:42,679 --> 00:08:47,480 Speaker 1: water that's utilized in your view, as you are dealing 170 00:08:47,480 --> 00:08:50,440 Speaker 1: with us and seeing this and seeing of course questions about, hey, 171 00:08:50,480 --> 00:08:51,560 Speaker 1: can we use this land, can. 172 00:08:51,480 --> 00:08:52,200 Speaker 2: We use that land? 173 00:08:53,600 --> 00:08:56,800 Speaker 1: Should states be looking at being data center states or 174 00:08:56,920 --> 00:08:59,280 Speaker 1: is this a no win proposition? 175 00:09:00,840 --> 00:09:02,480 Speaker 3: Well, I think they should absolutely look at it, and 176 00:09:02,520 --> 00:09:04,959 Speaker 3: every state's got to make up their own decisions and 177 00:09:05,559 --> 00:09:07,679 Speaker 3: whether they get benefit or not spends a little bit 178 00:09:07,720 --> 00:09:11,800 Speaker 3: on their revenue generation. If they, you know, are generating 179 00:09:11,840 --> 00:09:14,440 Speaker 3: revenue through property taxes, these can be a huge lift 180 00:09:14,480 --> 00:09:19,600 Speaker 3: for some rural areas. But as a country, we're we're 181 00:09:19,600 --> 00:09:22,640 Speaker 3: in the AI arms race with China, and China didn't 182 00:09:22,640 --> 00:09:25,040 Speaker 3: take the last forty three days off. You know, they're 183 00:09:25,120 --> 00:09:28,800 Speaker 3: charging ahead. They're adding power at unbelievable levels. I Mean, 184 00:09:28,840 --> 00:09:32,240 Speaker 3: there's been a saying in every language and every culture 185 00:09:32,240 --> 00:09:35,880 Speaker 3: for a thousand years that knowledge is power, But now 186 00:09:35,960 --> 00:09:38,600 Speaker 3: it's actually flipped. It's power is knowledge because for the 187 00:09:38,600 --> 00:09:41,920 Speaker 3: first time in human history, we can take electricity, a 188 00:09:42,040 --> 00:09:43,679 Speaker 3: kill a lot of electricity, and we can convert it 189 00:09:43,720 --> 00:09:47,679 Speaker 3: directly into intelligence. So, Tony, I've even quit calling these 190 00:09:48,200 --> 00:09:52,360 Speaker 3: data centers. If you're manufacturing intelligence, these are manufacturing plants, 191 00:09:52,360 --> 00:09:54,760 Speaker 3: I mean a data center. Yeah, you've got to you know, 192 00:09:54,880 --> 00:09:57,160 Speaker 3: blue cross healthcare claim, and you've got a payer and 193 00:09:57,200 --> 00:09:59,120 Speaker 3: you've got a provider, and you have a patient. That's 194 00:09:59,120 --> 00:10:01,640 Speaker 3: a closed loops them that that's the data center that's 195 00:10:01,679 --> 00:10:04,400 Speaker 3: running you know some you know shopping orders. That's the 196 00:10:04,440 --> 00:10:07,160 Speaker 3: closed loop between the customer and the company. But these 197 00:10:07,200 --> 00:10:11,239 Speaker 3: these are GPT's general purpose technologies. If you're manufacturing intelligence, 198 00:10:11,280 --> 00:10:14,280 Speaker 3: it can be used by universities in Indiana, can be 199 00:10:14,400 --> 00:10:17,960 Speaker 3: used by by people that are trying to cure cancer 200 00:10:18,040 --> 00:10:20,680 Speaker 3: research institutes, it can be used by K twelve students. 201 00:10:20,920 --> 00:10:23,880 Speaker 3: It can be used by by anybody. And and you're 202 00:10:23,880 --> 00:10:26,839 Speaker 3: going to see capital flow to the states that have 203 00:10:27,400 --> 00:10:30,120 Speaker 3: low electricity prices, and you're going to see capital flow 204 00:10:30,200 --> 00:10:34,280 Speaker 3: away from states that have high electricity prices because electricity 205 00:10:34,360 --> 00:10:39,200 Speaker 3: is the primary ingredient into to UH to you know, 206 00:10:39,280 --> 00:10:42,439 Speaker 3: creating more intelligence. And and and we've got we've got 207 00:10:42,480 --> 00:10:44,480 Speaker 3: different policies. There are country places like New York and 208 00:10:44,520 --> 00:10:47,960 Speaker 3: California that have traditionally attracted capital are going to be 209 00:10:48,000 --> 00:10:49,920 Speaker 3: on the last of the list. I mean, there's there's 210 00:10:49,960 --> 00:10:54,640 Speaker 3: a close to four hundred billion dollars chasing chasing you know, 211 00:10:54,760 --> 00:10:58,200 Speaker 3: artificial intelligence factory locations right now. 212 00:10:58,200 --> 00:11:01,959 Speaker 1: The right. I don't say capital, I say yes talking 213 00:11:01,960 --> 00:11:04,280 Speaker 1: to the Secretary of the Interior, Doug Berghen. But this, 214 00:11:04,280 --> 00:11:07,440 Speaker 1: this energy conversation is exactly the one where states like 215 00:11:07,480 --> 00:11:10,560 Speaker 1: mine and other states end up seeing an issue and 216 00:11:10,640 --> 00:11:13,280 Speaker 1: the people say, hold up a second, we're the ones 217 00:11:13,320 --> 00:11:14,920 Speaker 1: who are going to pay the energy bill, or we're 218 00:11:14,920 --> 00:11:17,480 Speaker 1: going to pay the more expensive energy bill because the 219 00:11:17,559 --> 00:11:18,880 Speaker 1: data center is using. 220 00:11:18,640 --> 00:11:19,480 Speaker 2: All the energy. 221 00:11:19,960 --> 00:11:23,560 Speaker 1: So it's not that I don't disagree about where things 222 00:11:23,600 --> 00:11:27,240 Speaker 1: are going. How do you engage a conversation of convincing 223 00:11:27,920 --> 00:11:32,240 Speaker 1: local municipalities, no matter the state, when the realization is 224 00:11:32,400 --> 00:11:35,520 Speaker 1: these data centers suck up energy like it's their job. 225 00:11:37,080 --> 00:11:39,200 Speaker 3: Well, I think the key here is there is no 226 00:11:39,320 --> 00:11:44,280 Speaker 3: energy transition. That was that was basically a misconception, a 227 00:11:46,120 --> 00:11:50,120 Speaker 3: framing that somehow that if you had a highly subsidized, intermittent, 228 00:11:50,240 --> 00:11:53,439 Speaker 3: weather dependent, you know, power, that you could transition away 229 00:11:53,520 --> 00:11:57,600 Speaker 3: from from you know, base loads seven by twenty four power. 230 00:11:58,160 --> 00:12:00,679 Speaker 3: But there is the energy addition. We need more electricity 231 00:12:00,720 --> 00:12:04,199 Speaker 3: in this country. We have not produced. We've never if 232 00:12:04,240 --> 00:12:06,600 Speaker 3: someone's running utility and they've been a CEO and they 233 00:12:06,600 --> 00:12:09,280 Speaker 3: grew up in that industry in their lifetime, they've never 234 00:12:09,360 --> 00:12:11,440 Speaker 3: seen a demand curve like we have not where we 235 00:12:11,520 --> 00:12:15,160 Speaker 3: just need more power. And what the this Trump administration 236 00:12:15,240 --> 00:12:19,080 Speaker 3: is doing is allowing these the hyperscalers, the people that 237 00:12:19,120 --> 00:12:22,320 Speaker 3: are building the AI factories to build them, you know, 238 00:12:22,400 --> 00:12:24,160 Speaker 3: off the meter behind the grid. But you've got to 239 00:12:24,160 --> 00:12:26,319 Speaker 3: bring your own power. You've got to build your own power. 240 00:12:26,360 --> 00:12:27,960 Speaker 3: You have to be your own you have to be 241 00:12:28,040 --> 00:12:32,040 Speaker 3: your own power generator. So you're not affecting the local pricing, 242 00:12:32,280 --> 00:12:35,320 Speaker 3: so you're not affecting the local grid. And the way 243 00:12:35,320 --> 00:12:37,280 Speaker 3: to you know, do that again, part of the cost 244 00:12:37,360 --> 00:12:39,880 Speaker 3: of electricity is cost of transmission. A lot of this 245 00:12:40,040 --> 00:12:43,000 Speaker 3: intermittent stuff that was built, you know, the weather dependent 246 00:12:43,080 --> 00:12:45,240 Speaker 3: wind and solar build it, you know, build a wind 247 00:12:45,280 --> 00:12:48,000 Speaker 3: farm in North Dakota. But then we need transmission from 248 00:12:48,080 --> 00:12:50,560 Speaker 3: North Dakota to California or North Kota to New York 249 00:12:50,640 --> 00:12:54,199 Speaker 3: or someplace, and that costs, you know, trillions of dollars 250 00:12:54,320 --> 00:12:58,079 Speaker 3: of infrastructure costs to move these electrons around where the 251 00:12:58,160 --> 00:13:00,280 Speaker 3: data center. Guys, the smart ones are going to a 252 00:13:00,360 --> 00:13:04,000 Speaker 3: place where we've got stranded power like the Permian, the 253 00:13:04,040 --> 00:13:07,400 Speaker 3: bak and the North Dakota. The marcellis in Pennsylvania. Go 254 00:13:07,400 --> 00:13:10,080 Speaker 3: to where the stranded natural gas is, build a power plan, 255 00:13:10,280 --> 00:13:12,400 Speaker 3: put a data center right next to it, and guess 256 00:13:12,440 --> 00:13:15,600 Speaker 3: what Your finished product goes out on a fiber optic cable. 257 00:13:16,000 --> 00:13:17,560 Speaker 2: And it's like, you don't need. 258 00:13:17,480 --> 00:13:22,640 Speaker 3: To be fighting all the landowner issues related to transmission 259 00:13:22,800 --> 00:13:23,600 Speaker 3: or pipelines. 260 00:13:24,240 --> 00:13:26,280 Speaker 1: By the way, the Buck and Marcelos, these are shale 261 00:13:26,360 --> 00:13:29,640 Speaker 1: fields that the secretary is talking about. Well, I've got 262 00:13:29,640 --> 00:13:31,680 Speaker 1: thirty seconds, Sar, and I appreciate you taking the time 263 00:13:31,720 --> 00:13:32,360 Speaker 1: before I let you go. 264 00:13:32,400 --> 00:13:35,040 Speaker 2: I've already run late, and it's been well worth it. 265 00:13:35,320 --> 00:13:38,840 Speaker 1: Has there ever been a conversation about the Interior Department 266 00:13:39,720 --> 00:13:43,040 Speaker 1: allowing certain land to be utilized for the building of 267 00:13:43,120 --> 00:13:46,319 Speaker 1: data centers, So it's not state a conversation, it's actually 268 00:13:46,360 --> 00:13:49,680 Speaker 1: a federal conversation. And then the states being able to 269 00:13:49,679 --> 00:13:52,199 Speaker 1: benefit from the federal government engaging and what can be 270 00:13:52,240 --> 00:13:54,040 Speaker 1: seen as a national security conquest. 271 00:13:55,520 --> 00:13:56,400 Speaker 2: Answer is yes. 272 00:13:56,920 --> 00:13:59,800 Speaker 3: And on the topic of affordability in North Kota, when 273 00:13:59,800 --> 00:14:02,280 Speaker 3: I was still governor, we you know I approved the 274 00:14:02,400 --> 00:14:05,760 Speaker 3: data center, but they actually did in a way where 275 00:14:05,760 --> 00:14:09,160 Speaker 3: the rates went down for the local farmers. You produce 276 00:14:09,280 --> 00:14:12,280 Speaker 3: extra energy, put it onto the grid, benefit everybody locally 277 00:14:12,320 --> 00:14:15,360 Speaker 3: and your data center. There's win win opportunities here. The 278 00:14:15,440 --> 00:14:17,079 Speaker 3: capital is there. People just have to. 279 00:14:17,000 --> 00:14:18,560 Speaker 2: Be absolutely creative. 280 00:14:18,640 --> 00:14:21,120 Speaker 3: And then again, my great partner Chris Wright leading the 281 00:14:21,120 --> 00:14:25,440 Speaker 3: Department of Energy. Department of Energy has got land. They're 282 00:14:25,600 --> 00:14:29,040 Speaker 3: fast tracking and co loating small, co locating small modular 283 00:14:29,120 --> 00:14:32,480 Speaker 3: nuclear in future of you know, future of electricity down 284 00:14:32,520 --> 00:14:35,600 Speaker 3: the road. We need more of that, but co locating 285 00:14:35,640 --> 00:14:38,480 Speaker 3: on their land to speed up the permitting process so 286 00:14:38,520 --> 00:14:41,280 Speaker 3: they can get it done in years not decades. 287 00:14:42,200 --> 00:14:45,880 Speaker 1: Secretary Doug Bergham, the Secretary of the Interior. Secretary Bergham 288 00:14:45,920 --> 00:14:48,200 Speaker 1: on the Twitter X b U R g U M. 289 00:14:48,480 --> 00:14:51,640 Speaker 1: I appreciate you taking the time come visit us. Happy 290 00:14:51,640 --> 00:14:54,520 Speaker 1: to host you have an event, and if you're a 291 00:14:54,520 --> 00:14:56,560 Speaker 1: cigar smoker, well then my gosh, I'd be happy as 292 00:14:56,560 --> 00:14:58,840 Speaker 1: a clam. Keep it here. I'm Tony Katz. This is 293 00:14:58,880 --> 00:14:59,880 Speaker 1: Tony Katz today,